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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1639908</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Improving sustainability of inland Pacific Northwest dryland agriculture systems with pea-canola intercropping: a review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Stubbs</surname>
<given-names>Lauren R.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Singh</surname>
<given-names>Surendra</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wysocki</surname>
<given-names>Donald</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3138730/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Heineck</surname>
<given-names>Garett C.</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Neely</surname>
<given-names>Haly L.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3134556/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Singh</surname>
<given-names>Shikha</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3087975/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Lind Dryland Research Station, Washington State University</institution>, <addr-line>Lind, WA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Crop and Soil Sciences, Washington State University</institution>, <addr-line>Pullman, WA</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Oregon State University Extension</institution>, <addr-line>Pendleton, OR</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Prosser Irrigated Agriculture Research and Extension Center</institution>, <addr-line>Prosser, WA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Dinesh Jinger, Indian Institute of Soil and Water Conservation (ICAR), India</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Hero T. Gollany, United States Department of Agriculture, United States</p>
<p>Ram Swaroop Bana, Indian Agricultural Research Institute (ICAR), India</p>
<p>Venkatesh Paramesha, Central Coastal Agricultural Research Institute (ICAR), India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Shikha Singh, <email>shikha.singh@wsu.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1639908</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Stubbs, Singh, Wysocki, Heineck, Neely and Singh.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Stubbs, Singh, Wysocki, Heineck, Neely and Singh</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Changing weather conditions are having negative impacts on dryland (rainfed) crop production systems such as those found in the inland Pacific Northwest (iPNW). This region is dominated by winter wheat (<italic>Triticum aestivum</italic> L.) production and also produces alternative crops such as canola (<italic>Brassica napus</italic> L.) and peas (<italic>Pisum sativum</italic> L.). Producers need crop rotations and agronomic management strategies that are equally productive and more sustainable than traditional winter wheat-fallow systems. New crop rotations should prioritize crop water use efficiency (WUE), protect soil health, and manage herbicide-resistant weeds. Intercropping is one practice that can promote agroecosystem biodiversity, soil health, drought resilience, and resource use efficiency (RUE), among other ecosystem services. Spring pea and spring canola intercropping, also referred to as &#x201C;peaola,&#x201D; is emerging as an alternative crop rotation and management strategy for the dryland iPNW mainly because it increases RUE and WUE, while reducing production inputs. However, little is known about producing peaola in the iPNW. Therefore, this review seeks to address a wide range of topics, including (but not limited to) ecological and agronomic aspects of intercropped systems, the impact of peaola production on soil health, the potential of peaola to reduce pest pressure and improve drought resilience, and examples of barriers that may prevent the adoption of peaola in the iPNW. Findings indicate that peaola can provide agroecosystem benefits such as improved water infiltration, soil organic matter turnover, nutrient cycling, and increased land use efficiency. However, complexity of management, a lack of region-specific research, and marketing constraints are legitimate challenges barring the immediate adoption of peaola. Nonetheless, peaola has the potential to improve cereal crop production and promote sustainability in dryland agricultural systems across the iPNW.</p>
</abstract>
<kwd-group>
<kwd>intercropping</kwd>
<kwd>peaola</kwd>
<kwd>sustainability</kwd>
<kwd>pea</kwd>
<kwd>canola</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="146"/>
<page-count count="17"/>
<word-count count="14727"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Climate-Smart Food Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<sec id="sec2">
<label>1.1</label>
<title>Current challenges in inland Pacific Northwest dryland cropping systems</title>
<p>Recognized as the largest biome on Earth, drylands are responsible for producing nearly 60% of the world&#x2019;s food (<xref ref-type="bibr" rid="ref99">Pr&#x0103;v&#x0103;lie, 2016</xref>; <xref ref-type="bibr" rid="ref95">Osborne et al., 2022</xref>; <xref ref-type="bibr" rid="ref140">Yadav et al., 2024</xref>). In the instance of wheat, a commodity that is a staple in diets around the world, three-quarters of the global crop (approximately 620 million tons) is produced in dryland growing regions (<xref ref-type="bibr" rid="ref1">Adil et al., 2024</xref>). Production challenges such as water scarcity and ecosystem vulnerability will only be amplified by climate change, and are projected to worsen in dryland production regions, including the inland Pacific Northwest (iPNW), which will lead producers to adopt cropping systems that prioritize high crop water use efficiency and drought resilience (<xref ref-type="bibr" rid="ref142">Yu et al., 2024</xref>; <xref ref-type="bibr" rid="ref121">Strauss et al., 2021</xref>). Despite historically reliable yields over the years, the cereal monoculture cropping system that dominates iPNW production is the subject of much criticism due to the lack of biodiversity and ecological instability of this system (<xref ref-type="bibr" rid="ref63">Kirby et al., 2017</xref>), as well as its high demand for inputs, such as fertilizer nitrogen (N), and low resource use efficiency (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>).</p>
<p>Dryland (rainfed) agricultural production in the iPNW, a geographical region comprised of eastern Washington state and surrounding areas of Idaho and Oregon, occupies approximately 3.4 million ha of land and is dominated by wheat (<italic>Triticum aestivum</italic> L.) production systems (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>; <xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>; <xref ref-type="bibr" rid="ref108">Schillinger et al., 2006</xref>). From west to east, the iPNW is characterized by three annual precipitation zones, referred to as the low rainfall (&#x003C;300&#x202F;mm), intermediate rainfall (300&#x2013;450&#x202F;mm) and high rainfall (450&#x2013;600&#x202F;mm) zones (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>). Crop rotations vary by precipitation zone and are often centered around winter cereal crops. In the low and intermediate rainfall zones, two-year winter wheat-fallow rotations (in which a wheat crop is established once every two years with approximately 14 months of fallow between each crop) are implemented to store precipitation over the fallow winter for the subsequent wheat crop (<xref ref-type="bibr" rid="ref60">Karimi et al., 2017</xref>; <xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>; <xref ref-type="bibr" rid="ref108">Schillinger et al., 2006</xref>). In the high rainfall zone, and certain locations of the intermediate rainfall zone, annual cropping is possible, and producers may include a spring or winter pulse or oilseed crop for diversification (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). While pulse crops were once a popular rotation in the iPNW, modern government-subsidized commodity programs, in addition to changes in production technology, have long favored wheat as the area&#x2019;s most widely produced crop (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>).</p>
<p>Relatively low crop residue returns and long fallow periods from traditional two-year wheat-fallow rotations (which often involve tillage), have put a strain on the iPNW&#x2019;s resources for nearly 140&#x202F;years, as tillage has left the region&#x2019;s soils vulnerable to wind and water erosion for decades and led to a decrease in soil organic matter (SOM) content (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>). While these rotations have promoted stable wheat crop yields, the wheat-fallow system has resulted in a loss of over 50% of inherent SOM from the top 60&#x202F;cm of soil profiles (<xref ref-type="bibr" rid="ref49">Ghimire et al., 2015</xref>; <xref ref-type="bibr" rid="ref6">Awale et al., 2022</xref>). While the adoption of no-till farming in the iPNW has been increasing steadily and has helped to curb soil erosion and rebuild SOM, no-till practices still face many barriers to adoption, including the high cost of purchasing no-till drills and high-horsepower tractors (<xref ref-type="bibr" rid="ref48">Gelardi et al., 2023</xref>), as well as the limited potential of chemical no-till fallow in the low rainfall zone and parts of the intermediate rainfall zone due to the increased risk of seed zone soil water loss during hot, dry summer months (<xref ref-type="bibr" rid="ref108">Schillinger et al., 2006</xref>). Additionally, no-till practices rely solely on herbicides to manage weed populations (<xref ref-type="bibr" rid="ref141">Young et al., 2006</xref>). Failure to diversify weed control beyond chemical means, due to the use of homogeneous crop rotations, or a lack of chemical stewardship, has contributed to the rise of herbicide-resistant weed species in conventional and no-till iPNW cropping systems (<xref ref-type="bibr" rid="ref102">Renton and Flower, 2015</xref>).</p>
<p>The issues of soil erosion, declining SOM, herbicide resistance, and variability in precipitation create significant challenges for growers in the dryland iPNW. It is apparent that the diversification of cropping systems is needed in this region, but a new, multifarious cropping system of any merit cannot sacrifice short-term economic productivity for long-term sustainability. For new crop rotation methodologies to be successful in dryland systems, the rotations must be low-input, and promote qualities such as agroecosystem biodiversity, soil health, more effective weed control, drought resilience, improved water use efficiency (WUE), and enhanced profitability. However, growers in the iPNW are expressing interest in alternative cropping systems, as demonstrated by the responses collected in the Washington State Department of Agriculture (WSDA)&#x2019;s soil management survey (<xref ref-type="bibr" rid="ref48">Gelardi et al., 2023</xref>). The majority (72%) of producers surveyed reported the use of reduced- or no-till practices on their farms and 37% of producers reported the use of two or more conservation practices together (<xref ref-type="bibr" rid="ref48">Gelardi et al., 2023</xref>).</p>
</sec>
<sec id="sec3">
<label>1.2</label>
<title>Intercropping: an unconventional &#x201C;fix&#x201D; for the inland Pacific Northwest</title>
<p>One such practice not mentioned in the 2022 WSDA survey was intercropping, or the practice of growing two or more crop species at the same time in the same field. Globally, intercropping has been practiced for centuries across an array of agricultural systems that differ drastically in climate, crop types, and farm size (<xref ref-type="bibr" rid="ref124">Tang et al., 2024</xref>; <xref ref-type="bibr" rid="ref119">Stomph et al., 2020</xref>). Perhaps the most well-known system is the Three Sisters, an intercrop of maize (<italic>Zea mays</italic> L.), bean (<italic>Phaseolus vulgaris</italic> L.), and squash (<italic>Cucurbita pepo</italic> L.) grown by the Indigenous Peoples of the Americas (<xref ref-type="bibr" rid="ref91">Ngapo et al., 2021</xref>). Today, these practices are often restricted in their modern-day applications to smallholder cropping systems in developing countries, as the mass-mechanization of agriculture and the development of economies of scale have forced a reduction in the complexity of cropping systems (<xref ref-type="bibr" rid="ref67">Li et al., 2023</xref>; <xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref62">Khanal et al., 2021</xref>). Additionally, conflicts over best land use practices and high land prices, as noted by <xref ref-type="bibr" rid="ref62">Khanal et al. (2021)</xref>, are driving risk-averse agriculturists around the world toward monoculture production systems in an attempt to lower the per-unit costs of commodity production.</p>
<p>Nonetheless, intercropping and the concept of sustainable agriculture are growing in interest among agriculturists around the world, and current research efforts indicate that intercropped systems will continue to be employed globally to serve the analogous purposes of improving on-farm biodiversity, soil health, resource use efficiency, weed suppression, and climate change resilience (<xref ref-type="table" rid="tab1">Table 1</xref>). In a meta-analysis of global intercropping systems, <xref ref-type="bibr" rid="ref50">Gu et al. (2021)</xref> indicates there are three main categories of commonly utilized crop species-cereals (seven species); legumes (12 species); and &#x201C;other&#x201D; crops (seven species). However, in this review, a search of relevant literature revealed that the most prevalent species used in intercropped systems can be grouped into the following categories: cereals, fiber crops, forage grasses, legumes (including legumes for forage), oilseeds, and &#x201C;other&#x201D; species (<xref ref-type="table" rid="tab1">Table 1</xref>). In Australia, Europe, and North America, intercropping systems with small-grain cereals, legumes, and small-grain oilseeds are typically grown (<xref ref-type="bibr" rid="ref62">Khanal et al., 2021</xref>; <xref ref-type="bibr" rid="ref50">Gu et al., 2021</xref>). Contrastingly, most intercropped systems that utilize cereal crops with C4 photosynthesis, such as maize (<italic>Zea mays</italic> L.) and sorghum (<italic>Sorghum bicolor</italic> L.) are grown predominantly in Asia (<xref ref-type="bibr" rid="ref50">Gu et al., 2021</xref>; <xref ref-type="bibr" rid="ref62">Khanal et al., 2021</xref>; <xref ref-type="bibr" rid="ref119">Stomph et al., 2020</xref>). Intercrop species selection is contingent on many factors, including grower preference and desired outcome, production cost, and market viability. Therefore, the most promising intercrop combinations for the world&#x2019;s drylands consist of crop species that are already being produced in those respective regions. For the iPNW specifically, examples of intercrops that could be produced (due to their preexisting prevalence as monocultures) include a winter cereal-winter legume combination, a winter oilseed-winter legume combination, or a spring oilseed-spring legume combination.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>A review of relevant intercropped species combinations (Modified from <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>; <xref ref-type="bibr" rid="ref81">Mirdoraghi et al., 2024</xref>).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species combination</th>
<th align="center" valign="top">Number of studies</th>
<th align="center" valign="top">Purpose, benefits, or services provided<sup>&#x2020;</sup></th>
<th align="center" valign="top">Use of Crop 1</th>
<th align="center" valign="top">Use of Crop 2</th>
<th align="center" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">Cereal-Cereal</td>
<td align="center" valign="middle" rowspan="4">4</td>
<td align="center" valign="middle" rowspan="4">Abiotic stress tolerance, yield</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref44">Fletcher et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref130">Wang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref100">Qian et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Cereal-Fiber</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">Intercropping logistics, yield</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Lint</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref144">Zhang et al. (2007)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">Cereal-Oilseed</td>
<td align="center" valign="middle" rowspan="4">4</td>
<td align="center" valign="middle" rowspan="4">Intercropping evaluation metrics, intercropping logistics, short-term profit, yield</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref100">Qian et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref33">Dong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Cereal-Other</td>
<td align="center" valign="middle" rowspan="3">3</td>
<td align="center" valign="middle" rowspan="3">Intercropping logistics, poultry manure, relay crop regrowth</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Fruit</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref112">Sharaiha and Hattar (1993)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Tubers</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref33">Dong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Dry Matter</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref27">Craig et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Forage Grass-Legume</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">Forage quality, ground cover, nutrient dynamics</td>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="17">Legume-Cereal</td>
<td align="center" valign="middle" rowspan="17">40</td>
<td align="center" valign="middle" rowspan="17">Agronomic, biofertilizer application, economic return, grain quality, intercropping logistics, nitrogen dynamics&#x2026;</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref127">&#x00DC;nay et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Tubers</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref33">Dong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref100">Qian et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Dry Matter</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref27">Craig et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref114">Smith and Carter (1998)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Companion Crop</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref> (&#x00D7;4)</td>
</tr>
<tr>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle">Forage</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref66">Li et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref69">Liu et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref77">Malhi (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref24">Coll et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref79">Mbanyele et al. (2024)</xref> (&#x00D7;5)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref112">Sharaiha and Hattar (1993)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref125">Temesgen et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Legume-Cereal</td>
<td align="center" valign="middle" rowspan="8">40</td>
<td align="center" valign="middle" rowspan="8">&#x2026;poultry manure application, resource utilization, short-term profit, soil conservation, water dynamics, weed suppression, yield</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref129">Wang et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref130">Wang et al. (2022)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref132">Wei et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref40">Echarte et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref143">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref44">Fletcher et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref43">Fernandez et al. (2015)</xref> (&#x00D7;6)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref122">Szumigalski and Van Acker (2005)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Legume-Legume</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">Agronomic</td>
<td align="center" valign="middle">Dry Matter</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref27">Craig et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="27">Legume-Oilseed</td>
<td align="center" valign="middle" rowspan="27">85</td>
<td align="center" valign="middle" rowspan="27">Agronomic, economic return, biofertilizer and organic fertilizer application, intercropping logistics, interspecific competition, nitrogen dynamics, nitrogen fertilizer application&#x2026;</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref2">Andersen et al. (2004)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref103">Rezaei-Chiyaneh et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref3">Andersen et al. (2007)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain (Late)</td>
<td align="center" valign="middle">Grain (Early)</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref4">Andrade et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref87">Najafabadi and Jalilian (2021)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref10">Bennet (2009)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref12">Bremer et al. (2024)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Companion Crop</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref16">Cadoux et al. (2015)</xref> (&#x00D7;3)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref20">Chalmers (2014a)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref21">Chalmers (2014b)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref22">Chalmers (2017)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref24">Coll et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref29">Das et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref30">De la Fuente et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref31">Dedio (1994)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref40">Echarte et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Companion Crop</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref42">Emery et al. (2021)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref42">Emery et al. (2021)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref43">Fernandez et al. (2015)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Living Mulch</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref43">Fernandez et al. (2015)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref44">Fletcher et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref58">Irrigation Crop Diversification Corporation (2017)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref57">Holzapfel (2013)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Biomass</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref59">Kandel et al. (1997)</xref> (&#x00D7;5)</td>
</tr>
<tr>
<td align="center" valign="middle">Root Samples</td>
<td align="center" valign="middle">Root Samples</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref64">Klimek-Kopyra et al. (2015)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref69">Liu et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Biomass</td>
<td align="center" valign="middle">Biomass</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref70">Lorin et al. (2015)</xref> (&#x00D7;10)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="16">Legume-Oilseed</td>
<td align="center" valign="middle" rowspan="16">85</td>
<td align="center" valign="middle" rowspan="16">&#x2026;pest suppression, phosphorus dynamics, radiation use efficiency, resource use, root dynamics, short-term profit, water dynamics, weed suppression, yield</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref77">Malhi (2012)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref79">Mbanyele et al. (2024)</xref> (&#x00D7;7)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain (Late)</td>
<td align="center" valign="middle">Grain (Early)</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref82">Mohammed et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">
<xref ref-type="bibr" rid="ref93">Olowe and Adeyemo (2009)</xref>
</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="middle"><xref ref-type="bibr" rid="ref104">Roberts et al. (2019)</xref> (&#x00D7;3)</td>
</tr>
<tr>
<td align="center" valign="middle">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top"><xref ref-type="bibr" rid="ref105">Robinson (1984)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref84">Morales-Rosales and Franco-Mora (2009)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Biomass</td>
<td align="center" valign="top">Biomass</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref106">S&#x00E1;nchez Vallduv&#x00ED; and Sarand&#x00F3;n (2011)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref116">South East Research Farm Inc (2015)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top"><xref ref-type="bibr" rid="ref117">South East Research Farm Inc (2017)</xref> (&#x00D7;10)</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref115">Soetedjo et al. (1998)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top"><xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref> (&#x00D7;2)</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref122">Szumigalski and Van Acker (2005)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref128">VanKoughnet (2015)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref133">Westman Agricultural Diversification Organization (2018a)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Dry Matter</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref27">Craig et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Legume-Other</td>
<td align="center" valign="top" rowspan="5">8</td>
<td align="center" valign="top" rowspan="5">Intercropping logistics, poultry manure, relay crop regrowth</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Fruit</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref112">Sharaiha and Hattar (1993)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Tubers</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref33">Dong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Dry Matter</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref27">Craig et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center" valign="top">Forage</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top"><xref ref-type="bibr" rid="ref134">Westman Agricultural Diversification Organization (2018b)</xref> (&#x00D7;4)</td>
</tr>
<tr>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">Grain</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref134">Westman Agricultural Diversification Organization (2018b)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Other-Fiber</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">Agronomic</td>
<td align="center" valign="top">Fruit</td>
<td align="center" valign="top">Biomass</td>
<td align="center" valign="top">
<xref ref-type="bibr" rid="ref145">Zhang et al. (2019)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x2020;</sup>Benefits categorized as &#x201C;Agronomic&#x201D; include, but are not limited to, improved yield or biomass production and resource use. &#x201C;Intercropping logistics&#x201D; refers to literature investigating concepts such as intercropping, relay cropping, relay strip intercropping, and strip intercropping. (&#x00D7; &#x201C;N&#x201D;) refers to the number of studies performed by the source listed. Intercropping studies that are most relevant to the inland Pacific Northwest are those that examine dryland production of cereal, legume, and oilseed crops. Other species, such as fiber, forage, fruit, or tuber crops are not relevant to dryland production agriculture in this region.</p>
</table-wrap-foot>
</table-wrap>
<p>In the western United States, and more specifically the iPNW, intercropping is not yet a common practice. While there have been several intercropping studies performed at local land-grant research institutions, the practice has been limited to plot-scale trials and intermittent, small-scale stands on producers&#x2019; farms (<xref ref-type="bibr" rid="ref94">Oregon State University Columbia Basin Agricultural Research Center, 2020</xref>; <xref ref-type="bibr" rid="ref131">Washington State University Wheat and Small Grains, 2024</xref>; <xref ref-type="bibr" rid="ref23">Clark and Madsen, 2021</xref>; <xref ref-type="bibr" rid="ref73">Madsen and Ford, 2021</xref>). That is not to say that intercropping in the iPNW is an improbable feat. In a region entrenched in cereal crop production, but also known for its oilseed and pulse crop production (<xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>), an intercropped rotation of peas (<italic>Pisum sativum</italic> L.) and canola (<italic>Brassica napus</italic> L.) (hereafter referred as &#x201C;peaola&#x201D;) would utilize two additional major crop functional groups (legumes and <italic>Brassica</italic> species), and complement cereal crop production systems. A spring peaola rotation would likely be the best fit for the majority of the iPNW&#x2019;s dryland cropping systems (<xref ref-type="bibr" rid="ref60">Karimi et al., 2017</xref>), as spring pea production already takes place on approximately 40,000 ha each year, and the majority of the 2019 canola crop in Washington state (29,000 ha) was spring-sown (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>; <xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>).</p>
<p>Establishing peaola in lieu of monoculture spring pea or spring canola has the potential to increase land productivity and resource use efficiency (RUE), or the amount of biomass produced per unit of available resource (<xref ref-type="bibr" rid="ref56">Hodapp et al., 2019</xref>). Peaola can also promote yield stability and WUE&#x2014;the ratio of primary production to transpiration (<xref ref-type="bibr" rid="ref56">Hodapp et al., 2019</xref>) and improve crop N use efficiency (NUE)&#x2014;the ratio of biomass produced per unit of N consumed (<xref ref-type="bibr" rid="ref25">Congreves et al., 2021</xref>). As an intercrop, peaola may serve as a cultural weed control method, reduce pest damage, and improve soil health, too (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref125">Temesgen et al., 2015</xref>). However, intercropping is associated with a suite of logistical and agronomic challenges, and there are still numerous research questions that need to be answered regarding the implementation of peaola in the iPNW (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Nonetheless, the agroecosystem services provided as a result of peaola intercropping not only have the potential to enhance cereal crop production in the iPNW, but also promote the sustainable intensification of production agriculture across the region.</p>
<p>The objective of this literature review is to synthesize current information about dryland pea-canola intercropped systems and determine if these systems are applicable to the iPNW. The review addresses challenges currently faced by producers in the iPNW, such as declining soil health and droughty conditions, and suggests that a peaola intercrop may be a more sustainable and viable option than current crop rotations. To support this optimistic approach, the review discusses both generalized and region-specific agronomic topics, including a brief overview on the ecological principles that drive successful intercropped systems, a comprehensive discussion of the feasibility of a pea-canola intercrop in the iPNW, the potential impacts of peaola on crop WUE and soil health, and the role of peaola in reducing pest pressure. More importantly, the review identifies several ways in which peaola can promote drought resilience and sustainability in the dryland iPNW. The penultimate section in this review discusses several barriers to peaola adoption as a crop rotation in the iPNW. To conclude, the review makes recommendations for specific research objectives and producer considerations.</p>
</sec>
</sec>
<sec id="sec4">
<label>2</label>
<title>Ecological principles of intercropping</title>
<p>The goals of all intercropped systems are as follows: to mitigate risk by growing two or more crop species, which increases the possibility of at least one species surviving to maturity (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>), to increase crop production by improving within-season production (<xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>), and to improve land efficiency by enhancing crop RUE, which is quantified by a system&#x2019;s land equivalency ratio (LER) value (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref125">Temesgen et al., 2015</xref>). The most common forms of intercropping used in production agriculture include relay-cropping, or planting a second crop into a prior established crop with the intent of harvesting at two different intervals, and interseeding, or planting one species directly into another, either at the same time or directly after the first species is established (<xref ref-type="bibr" rid="ref83">Mohler and Stoner, 2009</xref>). In the iPNW, interseeding (intercropping) is likely to be the most feasible option for growers, due to the timing constraints in seeding and harvest operations in dryland production regions (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>; <xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>).</p>
<p>While iPNW monoculture systems embody the principle of spatial diversification, or growing different crop species in separate fields, intercropping systems are an example of temporal diversification, which is the principle of growing two or more different crop species at the same time and in the same space (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>). Temporal diversification, and by association, increased species richness and crop diversity (<xref ref-type="bibr" rid="ref75">Maitra, 2020</xref>), leads to increased agroecosystem productivity, short-term increases in crop yield, and promotes long-term system stability (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>). However, managing the many benign or detrimental interactions in crop stands with mixed species is challenging and requires the manipulation or avoidance of certain factors (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>), such as complementarity, competition, and facilitation between crop species (<xref ref-type="bibr" rid="ref88">Naudin et al., 2010</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>A diagram detailing the aboveground services of an intercropped peaola system in the upper blue tercile; the belowground services in the lower brown tercile; and the benefits to a cropping system in the green tercile on the right-hand side. SOM (soil organic matter); BNF (biological nitrogen fixation); CMN (common mycorrhizal network); LER (land equivalency ratio).</p>
</caption>
<graphic xlink:href="fsufs-09-1639908-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram illustrating aboveground and belowground plant services. Aboveground services include interspecific competition, pest and disease control, and biomass increase. Belowground services involve root interactions like rhizosphere effects and nutrient transfer. System benefits listed are improved land equivalent ratio, reduced inputs, drought resilience, and risk reduction through disease mitigation and market diversity.</alt-text>
</graphic>
</fig>
<p>Interspecific complementarity, or niche partitioning, refers to the different partitioning and acquisition of resources based on a species&#x2019; unique needs (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref45">Fridley, 2001</xref>). This concept outlines the importance of choosing the correct species for an intercropping rotation to reduce competition, especially if the producer plans to sow both species at the same time. In the iPNW, a pea-canola intercrop is likely to demonstrate some level of complementarity, as the rapid emergence rate of canola (<xref ref-type="bibr" rid="ref9001">Begna et al., 2021</xref>) allows for adequate establishment and resource acquisition before its pea counterpart. Ideally, at the time of pea emergence and development, the pea and canola would be accessing resources from differing niches in their environment (<xref ref-type="fig" rid="fig1">Figure 1</xref>). This is especially important for the iPNW, as growthier canola plants can serve as trellises for their pea counterparts&#x2014;a fact that cannot be understated in this region, as ease of harvesting is crucial for growers that manage fields with steep, hilly terrain. Interspecific competition, while usually negatively associated with crop-weed interactions, can be manipulated in intercropping systems between complimentary crop species, especially if one is a legume, and the other species has a high N requirement (e.g., canola); competition for N between both crops can stimulate N fixation by the former, to the benefit of the latter (<xref ref-type="bibr" rid="ref76">Malezi&#x00E9;ux et al., 2009</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>). Facilitation in intercropping systems refers to the ability of one crop species to provide or make a limiting resource more accessible to its companion (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref2">Andersen et al., 2004</xref>). Examples of interspecific facilitation that could occur in iPNW peaola systems include peas providing N to their canola counterparts (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref71">Louarn et al., 2020</xref>), hydraulic redistribution of soil moisture from a deep-rooted species (canola) to a shallow-rooted species (pea) (<xref ref-type="bibr" rid="ref17">Caldwell and Richards, 1989</xref>; <xref ref-type="bibr" rid="ref14">Burgess, 2011</xref>; <xref ref-type="bibr" rid="ref111">Sekiya et al., 2011</xref>), and the acidification of the rhizosphere by one species&#x2019; root exudates (pea) to improve nutrient availability for its counterpart (canola) (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref55">Hinsinger et al., 2003</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
</sec>
<sec id="sec5">
<label>3</label>
<title>The feasibility of peaola in the inland Pacific Northwest</title>
<p>In the iPNW, peas and canola are both grown as either fall- or spring-seeded crops in rotation with winter or spring cereals (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>; <xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Both pulse and oilseed crops are increasing in the number of acres grown per year (<xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>), and there are established markets, public and private breeding programs (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>; <xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>), and processing facilities in the region for both crops (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Additionally, both pulse crops and oilseeds have existing state or regional commodity commissions that work to fund research, expand domestic and international markets, and engage in policy making on behalf of producers (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>).</p>
<p>Spring canola is one candidate for an intercropped rotation in the iPNW due to its favorable economic standing in the region as a biofuel feedstock (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>), deep-rooting habits (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>), and ability to scavenge for nutrients such as N and P (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>; <xref ref-type="bibr" rid="ref2">Andersen et al., 2004</xref>; <xref ref-type="bibr" rid="ref65">Koenig et al., 2011</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Complementary to spring canola, spring peas are shallow-rooted plants and have moderate water requirements, making them ideal for the low, intermediate, and high rainfall zones (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>; <xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Spring canola cannot form symbiotic relationships with certain soil microbe functional groups, but spring peas can form symbiotic relationships with arbuscular mycorrhizal fungi (AMF) and rhizobia bacteria, which helps to facilitate system-wide nutrient transport, uptake, and biological nitrogen fixation (BNF) (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>; <xref ref-type="bibr" rid="ref53">Hauggaard-Nielsen and Jensen, 2005</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The large-scale adoption of spring peaola is agronomically feasible for all three rainfall zones of the iPNW (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>), as <xref ref-type="bibr" rid="ref61">Kaur et al. (2022)</xref> rated spring pea and spring canola as crops that are &#x201C;intermediately stable&#x201D; and &#x201C;extremely stable&#x201D; in their respective abilities to adapt to climate change. Additionally, there are various metrics associated with intercropped systems that can help producers and researchers quantify the agronomic and economic feasibility of peaola intercropping in the iPNW (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Metrics used to evaluate the profitability, resource use efficiency, yield, and competitiveness of intercropped systems, and to assess a variety of agronomic, ecological, and economic factors</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Metric name</th>
<th align="center" valign="top">Abbr.</th>
<th align="left" valign="top">Metric equation</th>
<th align="left" valign="top">Metric description</th>
<th align="left" valign="top">Decision criteria</th>
<th align="left" valign="top">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Aggressivity</td>
<td align="center" valign="middle"><italic>A</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M1">
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Describes the relationship between differing crop species in an intercropped system, especially in regard to relative yield increase.</td>
<td align="left" valign="middle">In an intercropped system, if species A is dominant, <italic>A</italic>&#x202F;&#x003E;&#x202F;0.<break/>If species B is dominant, <italic>A</italic>&#x202F;&#x003C;&#x202F;0.<break/>If species are compatible, &#x2212;1&#x202F;&#x003C;&#x202F;<italic>A</italic>&#x202F;&#x003C;&#x202F;1.<break/>If species A is aggressive, <italic>A</italic>&#x202F;&#x003E;&#x202F;1.<break/>If species B is aggressive, <italic>A</italic>&#x202F;&#x003C;&#x202F;&#x2212;1.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref>, <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref> and <xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Ability to Compete</td>
<td align="center" valign="middle"><italic>AC</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M2">
<mml:mi mathvariant="italic">AC</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mtext mathvariant="italic">weed</mml:mtext>
</mml:msub>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mtext mathvariant="italic">total</mml:mtext>
</mml:msub>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures an intercrop&#x2019;s ability to suppress weeds.<break/>Calculations are derived from crop and weed biomasses of an individual intercrop treatment.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Area x Time Equivalency Ratio</td>
<td align="center" valign="middle"><italic>ATER</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M3">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">ATER</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mtext mathvariant="italic">ATER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mtext mathvariant="italic">ATER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mtext mathvariant="italic">ATER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mtext mathvariant="italic">ATER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">A comparison of land occupancy between an intercrop and a monoculture system.<break/>Defines yield as a function of both land area and time.</td>
<td align="left" valign="middle"><italic>ATER</italic> intercrop &#x003C; <italic>ATER</italic> monoculture&#x202F;=&#x202F;No intercrop advantage.<break/><italic>ATER</italic> intercrop &#x003E; <italic>ATER</italic> monoculture&#x202F;=&#x202F;Intercrop advantage.<break/><italic>ATER</italic> intercrop&#x202F;=&#x202F;<italic>ATER</italic> monoculture&#x202F;=&#x202F;Near-equal efficiency.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref54">Hiebsch and McCollum (1987)</xref> and <xref ref-type="bibr" rid="ref35">Doubi et al. (2016)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Ability to Withstand Competition</td>
<td align="center" valign="middle"><italic>AWC</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M4">
<mml:mi mathvariant="italic">AWC</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi mathvariant="italic">No</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext mathvariant="italic">control</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mtext mathvariant="italic">Control</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures an organic intercrop&#x2019;s ability to tolerate weeds.<break/>Utilizes crop biomass values instead of weed biomass values.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Actual Yield Loss</td>
<td align="center" valign="middle"><italic>AYL</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M5">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:mn>100</mml:mn>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:mn>100</mml:mn>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">The proportionate yield change of an intercrop in comparison to its respective monoculture; accounts for the actual established proportion of an intercrop component with its respective monoculture.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref7">Banik (1996)</xref>, <xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> and <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Crop Growth Rate</td>
<td align="center" valign="middle"><italic>CGR</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M6">
<mml:mi mathvariant="italic">CGR</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext mathvariant="italic">Biomas</mml:mtext>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext mathvariant="italic">Biomas</mml:mtext>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures crop growth at different morphological stages and calculates species growth rate in an intercropped system.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Competitive Ratio</td>
<td align="left" valign="middle"><italic>CR</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M7">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">CR</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">CR</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures the competitive ability of species in an intercropped system; accounts for the proportion of each species at establishment by using a ratio of partial <italic>LER</italic>s.</td>
<td align="left" valign="middle">If <italic>CR</italic> species A&#x202F;&#x003C;&#x202F;<italic>CR</italic> species B in an intercropped system, species B is more competitive.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> and <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Relative Change in Resource Capture</td>
<td align="center" valign="middle"><italic>&#x0394;RU</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M8">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="italic">&#x0394;RU</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi mathvariant="italic">RU</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi mathvariant="italic">RU</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>A</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>B</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mo>;</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi>B</mml:mi>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>A</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>B</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Compares relative changes in water, nitrogen, and radiation capture among intercropped systems; compares resource capture capabilities between intercrop and monoculture systems.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref125">Temesgen et al. (2015)</xref> and <xref ref-type="bibr" rid="ref85">Morris and Garrity (1993)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Relative Change in Resource Use Efficiency</td>
<td align="center" valign="middle"><italic>&#x0394;RUE</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M9">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">&#x0394;RUE</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">{</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="true">[</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:mi>R</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
<mml:mo stretchy="true">]</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">RU</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">RU</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="true">}</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>A</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>B</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mo>;</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi>B</mml:mi>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>A</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>B</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Compares relative changes in water, nitrogen, and radiation use efficiency among intercropped systems; compares resource use efficiency between intercrop and monoculture systems.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref125">Temesgen et al. (2015)</xref> and <xref ref-type="bibr" rid="ref85">Morris and Garrity (1993)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Intercropping Advantage</td>
<td align="center" valign="middle"><italic>IA</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M10">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">IA</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">IA</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">AYL</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures intercrop advantage and economic feasibility.<break/>Obtained by multiplying a crop&#x2019;s commercial value by the crop&#x2019;s partial actual yield loss (<italic>AYL</italic>).</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> and <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Relative Crowding Coefficient</td>
<td align="center" valign="middle"><italic>K</italic></td>
<td align="left" valign="top">
<inline-formula>
<mml:math id="M11">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi>K</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures the relative dominance of one species over another in an intercropped system.</td>
<td align="left" valign="middle"><italic>K</italic>&#x202F;&#x003E;&#x202F;1 indicates an intercropping advantage.<break/>In monoculture systems<italic>, K</italic>&#x202F;=&#x202F;1.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> and <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Partial Land Equivalency Ratio<break/>Land Equivalency Ratio</td>
<td align="center" valign="middle"><italic>PLER</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M12">
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo>;</mml:mo>
<mml:mspace width="0.33em"/>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mspace width="0.43em"/>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">PLER: The individual LER of each crop species in an intercropped system; an indication of competitive interactions between two intercrop components.</td>
<td align="left" valign="middle">PLER: N/A</td>
<td align="left" valign="middle" rowspan="2"><xref ref-type="bibr" rid="ref12">Bremer et al. (2024)</xref>, <xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>, <xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>, <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> and <xref ref-type="bibr" rid="ref80">Mead and Willey (1980)</xref></td>
</tr>
<tr>
<td align="center" valign="middle"><italic>LER</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M13">
<mml:mi mathvariant="italic">LER</mml:mi>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mtext mathvariant="italic">PLER</mml:mtext>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>;</mml:mo>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">LER: A measure of the amount of land area required to obtain the yield of each species in an intercropped system if the species were grown in a monoculture.</td>
<td align="left" valign="middle">LER: If the intercropping response is positive, <italic>LER &#x003E;</italic> 1.<break/>Monoculture systems are represented by <italic>LER</italic>&#x202F;=&#x202F;1.</td>
</tr>
<tr>
<td align="left" valign="middle">Monetary Advantage Index</td>
<td align="center" valign="middle"><italic>MAI</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M14">
<mml:mi mathvariant="italic">MAI</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext mathvariant="italic">and</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">LER</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mi mathvariant="italic">LER</mml:mi>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Measures the economic feasibility and economic advantage of an intercropped system.</td>
<td align="left" valign="middle">Greater <italic>MAI</italic> value indicates greater system profitability.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref34">Dordas et al. (2012)</xref> and <xref ref-type="bibr" rid="ref32">Dhima et al. (2007)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Niche Differentiation Index</td>
<td align="center" valign="middle"><italic>NDI</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M15">
<mml:mi mathvariant="italic">NDI</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Indicates a presence or absence of niche differentiation in an intercropped system by comparing intra- and interspecific competition.</td>
<td align="left" valign="middle"><italic>NDI</italic> ratio &#x003E; 1 indicates niche differentiation.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Net Gross Margin</td>
<td align="center" valign="middle"><italic>NetGM</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M16">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">NetGM</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mi>G</mml:mi>
<mml:msub>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">GM</mml:mi>
<mml:mi>M</mml:mi>
</mml:msub>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>G</mml:mi>
<mml:msub>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi mathvariant="italic">IC</mml:mi>
</mml:msub>
<mml:mo>;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi mathvariant="italic">GM</mml:mi>
<mml:mi>M</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Accounts for total yield, crop prices, and variable cost changes between monoculture and intercropped systems.</td>
<td align="left" valign="middle">If intercropping is advantageous, NetGM &#x003E; 0.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Nitrogen Land Equivalency Ratio</td>
<td align="center" valign="middle"><italic>NLER</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M17">
<mml:mtext mathvariant="italic">NLER</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:msub>
<mml:mi mathvariant="italic">NY</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:msub>
<mml:mi mathvariant="italic">NY</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">A comparison of land utilization efficiency (in regard to N production) between monoculture systems and intercropped systems.</td>
<td align="left" valign="middle">If <italic>NLER</italic> &#x003E; 1, the intercropped system has greater land use efficiency for plant N production.</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref39">D&#x00FC;mmer (2018)</xref> and <xref ref-type="bibr" rid="ref123">Szumigalski and Van Acker (2006)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Relative Competitive Ability</td>
<td align="center" valign="middle"><italic>RC</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M18">
<mml:mi mathvariant="italic">RC</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">An indication of the competitive ability of an intercrop component in comparison to its counterpart.</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Relative Weed Biomass</td>
<td align="center" valign="middle"><italic>RWB</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M19">
<mml:mi mathvariant="italic">RWB</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi mathvariant="italic">Ib</mml:mi>
<mml:mrow>
<mml:mi mathvariant="italic">&#x03A3;S</mml:mi>
<mml:msub>
<mml:mi>b</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x2026;</mml:mo>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Indicates the ability of an intercrop to suppress weeds.</td>
<td align="left" valign="middle">If the intercropped system&#x2019;s component crops are suppressing weeds, <italic>RWB</italic> &#x003C; 1.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref89">Nelson et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">System Productivity Index</td>
<td align="center" valign="middle"><italic>SPI</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M20">
<mml:mi mathvariant="italic">SPI</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Standardizes the yield of one intercrop component (secondary species) in terms of the other component (primary species).</td>
<td align="left" valign="middle">N/A</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref92">Odo (1991)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Value Ratio</td>
<td align="center" valign="middle"><italic>VR</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M21">
<mml:mi mathvariant="italic">VR</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>A</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>+</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Y</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
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<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#x00F7;</mml:mo>
</mml:math>
</inline-formula>
<break/>
<inline-formula>
<mml:math id="M22">
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
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<mml:mi>A</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
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<mml:mi>A</mml:mi>
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<mml:mi>Z</mml:mi>
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<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
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</mml:msub>
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</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Accounts for total yield, relative commodity prices, and absolute changes in commodity gross value.</td>
<td align="left" valign="middle">If intercropping is advantageous, <italic>VR</italic> &#x003E; 1.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Yield Ratio</td>
<td align="center" valign="middle"><italic>YR</italic></td>
<td align="left" valign="middle">
<inline-formula>
<mml:math id="M23">
<mml:mi mathvariant="italic">YR</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
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<mml:msub>
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<mml:mrow>
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<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>A</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
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</mml:mrow>
</mml:mfrac>
</mml:math>
</inline-formula>
</td>
<td align="left" valign="middle">Accounts for total yield and absolute changes in yield by comparing an intercropped species with its monoculture counterpart.</td>
<td align="left" valign="middle">If intercropping is advantageous, <italic>YR</italic> &#x003E; 1.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>
</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="3">Equation variables</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">A<sub>A</sub> is the aggressivity index of species A.<break/>ATER<sub>A</sub> and ATER<sub>B</sub> are the ATER values of species A and B, respectively.<break/>AYL<sub>A</sub> and AYL<sub>B</sub> are the actual yield losses of species A and B, respectively.<break/>b<sub>A, A</sub> is the biomass of species A under intraspecific competition.<break/>b<sub>A, B</sub> is the biomass of species A under interspecific competition.<break/>b<sub>B, A</sub> is the biomass of species B under interspecific competition.<break/>b<sub>B, B</sub> is the biomass of species B under intraspecific competition.<break/>b<sub>total</sub> is the total crop and weed biomass.<break/>b<sub>weed</sub> is the weed biomass.<break/>C<sub>A</sub> and C<sub>B</sub> are the variable costs of production for species A and B, respectively.<break/>Cb<sub>Control</sub> is the crop biomass of the intercrop plots receiving weed control during growth.<break/>Cb<sub>No control</sub> is the crop biomass of the intercrop plots receiving no weed control measures.<break/>C<sub>IC</sub> is the variable cost of production for the intercrop mixture.</td>
<td align="left" valign="top">CR<sub>A</sub> and CR<sub>B</sub> are the competitive ratios of species A and B, respectively.<break/>GM<sub>IC</sub> is the gross margin from intercropping.<break/>GM<sub>M</sub> is the gross margin from a monoculture with a similar crop rotation to the intercrop system.<break/>IA<sub>A</sub> and IA<sub>B</sub> are the intercropping advantages of species A and B, respectively.<break/><italic>Ib</italic> represents weed biomass in the intercrop.<break/>K<sub>A</sub> and K<sub>B</sub> are the relative crowding coefficients of species A and B, respectively.<break/>LER represents the land equivalency ratio of the system.<break/>NY<sub>A</sub> and NY<sub>B</sub> are the N yields of species A and B as sole crops.<break/>NY<sub>A, B</sub> is the N yield of species A as an intercrop component.<break/>NY<sub>B, A</sub> is the N yield of species B as an intercrop component.<break/>P<sub>A</sub> and P<sub>B</sub> represent the current market values, or prices, of species A and B, respectively.<break/>P<sub>A and B</sub> represents the combined market value or prices of species A and B.<break/>PLER<sub>A</sub> and PLER<sub>B</sub> are the partial land equivalency ratios of species A and B, respectively.</td>
<td align="left" valign="top">RU<sub>A</sub> and RU<sub>B</sub> are the respective rates of resource capture (resource use) of species A and B.<break/>RU<sub>IC</sub> indicates the rate of resource capture (resource use) of the intercrop.<break/><italic>&#x03A3;Sb<sub>i&#x2026;n</sub>/n</italic> indicates the mean weed biomasses within sole crops of the intercrop&#x2019;s component species.<break/>T1 and T2 represent the time of the first and second samplings, respectively.<break/>T<sub>A</sub> and T<sub>B</sub> are the durations of species A and species B&#x2019;s respective growth cycles.<break/>T<sub>i</sub> is the duration in days of the species with the longest growing period.<break/>Y<sub>A</sub> and Y<sub>B</sub> are the yields of species A and B as sole crops.<break/>Y<sub>A, B</sub> is the yield of species A as an intercrop component.<break/>Y<sub>B, A</sub> is the yield of species B as an intercrop component.<break/>Y<sub>IC</sub> indicates the total yield of the intercrop.<break/>Z<sub>A, B</sub> is the sown proportion of species A in a mixture with species B.<break/>Z<sub>B, A</sub> is the sown proportion of species B in mixture with species A.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Several metrics are used in conjunction with one another to determine the &#x201C;success&#x201D; of the system.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<label>4</label>
<title>Peaola and crop water use efficiency</title>
<p>Intercropped systems are expected to succeed in challenging environments, such as those with limited water availability, poor soil fertility, or significant biotic stressors (<xref ref-type="bibr" rid="ref119">Stomph et al., 2020</xref>). Soil water availability is the most limiting factor for crop growth and yield in the iPNW, and water deficits in dryland cropping systems negatively impact crop WUE (<xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>; <xref ref-type="bibr" rid="ref60">Karimi et al., 2017</xref>). Therefore, risk-averse producers are more likely to include summer fallow periods and wait to plant a cool-season cereal instead of establishing a spring broadleaf crop, even though studies from the iPNW&#x2019;s low-rainfall zone have determined the precipitation use efficiency of a winter wheat-summer fallow rotation averaged less than 30% (<xref ref-type="bibr" rid="ref61">Kaur et al., 2022</xref>; <xref ref-type="bibr" rid="ref60">Karimi et al., 2017</xref>; <xref ref-type="bibr" rid="ref136">Williams et al., 2020a</xref>). Altered weather patterns also affect WUE and play a major role in cropping system decisions (<xref ref-type="bibr" rid="ref60">Karimi et al., 2017</xref>). However, the WUE of peaola has the potential to be greater than the WUE of a pea, canola, or wheat monoculture in water-limited environments, as complementary root structure enables both species to exploit different volumes of soil (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). For example, <xref ref-type="bibr" rid="ref47">Gan et al. (2009)</xref> reported that the roots of oilseed crops can reach depths of 80&#x2013;100&#x202F;cm, whereas that of pulse crops may only grow to 40&#x2013;60&#x202F;cm. Additionally, <xref ref-type="bibr" rid="ref28">Cutforth et al. (2013)</xref> demonstrated that pea and canola crops withdraw their water requirements at different points in the growing season. Reportedly, oilseeds meet their water requirements earlier in the growing season, withdrawing only 42% of their moisture requirement post-anthesis at depths of 90&#x202F;cm or greater, while pulses meet their moisture requirements later, withdrawing 52% of their moisture requirement post-anthesis from the upper 60&#x202F;cm of the soil profile (<xref ref-type="bibr" rid="ref28">Cutforth et al., 2013</xref>). Furthermore, the same study reported that wheat withdrew more water than either the oilseed or pulse crops, meeting nearly half its water requirement post-anthesis (<xref ref-type="bibr" rid="ref28">Cutforth et al., 2013</xref>). However, the claim about intercropping enhancing WUE is based more in ecological theory and less in agronomic practice, as there are no preexisting iPNW-specific investigations that address this topic.</p>
<p>Due to its deep taproot and shallow lateral roots, spring canola may have the ability to redistribute moisture within the soil profile via hydraulic lift (<xref ref-type="fig" rid="fig1">Figure 1</xref>) (<xref ref-type="bibr" rid="ref90">Neumann and Cardon, 2012</xref>; <xref ref-type="bibr" rid="ref65">Koenig et al., 2011</xref>). Canola plants can have a hydraulic conductivity rate of approximately 0.11&#x202F;m&#x202F;min<sup>&#x2212;1</sup> plant<sup>&#x2212;1</sup> at eight bars pressure, or more than double the hydraulic conductivity rate of pea plants (0.05&#x202F;m&#x202F;min<sup>&#x2212;1</sup> plant<sup>&#x2212;1</sup>at eight bars pressure) (<xref ref-type="bibr" rid="ref28">Cutforth et al., 2013</xref>). Reportedly, the extraction of water from deep in the soil, and the subsequent release in upper profiles as a result of changes in matric pressure can redistribute small volumes (less than 1&#x202F;mm) of water per day (<xref ref-type="bibr" rid="ref90">Neumann and Cardon, 2012</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>). While some studies indicate that this redistribution of water may be insignificant (e.g., <xref ref-type="bibr" rid="ref14">Burgess, 2011</xref>), spring peas have a lower water requirement (approximately 350&#x202F;mm) than spring canola (nearly 510&#x202F;mm) (<xref ref-type="bibr" rid="ref118">Stepanovi&#x0107; et al., 2019</xref>; <xref ref-type="bibr" rid="ref9">Bauder, n.d.</xref>; <xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>); in instances of drought, where surface moisture reserves may be depleted, canola could potentially provide a small volume of water to its pea counterpart.</p>
<p>Differences in growth rate also help to stagger periods of high water demand throughout the growing season (<xref ref-type="bibr" rid="ref41">Ehrmann and Ritz, 2014</xref>). Spring peas have aggressive periods of development early in the growing season, which can be beneficial for preliminary weed control via canopy closure, but may be detrimental to spring canola growth and development later in the season (<xref ref-type="table" rid="tab2">Table 2</xref>) (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Concerns from producers regarding spring pea growth and interference with spring canola establishment are valid, and this issue can be alleviated by spring-sowing a winter pea cultivar, as demonstrated by <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref>.</p>
<p>It is thought that peaola may have the ability to improve the WUE of future crops by enhancing water infiltration and retention capabilities of the soil profile (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The enhancement in soil water infiltration is due to the taproots of canola plants, which can grow to depths of nearly 1.2&#x202F;m or greater (<xref ref-type="bibr" rid="ref137">Williams et al., 2020b</xref>; <xref ref-type="bibr" rid="ref65">Koenig et al., 2011</xref>), and create vertical channels for improved infiltration and percolation of precipitation (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Soil organic matter also plays a key role in soil water retention. In intercropped systems, SOM turnover rates are increased by the addition of labile organic matter from crop biomass and residues, as this initiates the rhizosphere priming effect (PE) among local microbial groups (<xref ref-type="bibr" rid="ref11">Blagodatskaya and Kuzyakov, 2008</xref>; <xref ref-type="bibr" rid="ref46">Fuhrmann and Zuberer, 2021</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Recent reports approximate this increased rate of SOM turnover resulting from PE to be nearly 37% on a generalized, global scale (<xref ref-type="bibr" rid="ref139">Xu et al., 2024</xref>). Altogether, the presence of a living, diversified crop stand (and by extension, a diverse rhizosphere), promotes enhanced soil water retention and WUE through the maintenance of soil structure (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>).</p>
</sec>
<sec id="sec7">
<label>5</label>
<title>Impacts of peaola on soil health</title>
<p>Soil health, or the capacity of a soil to function and sustain life, results from the confluence of physical, chemical, and biological factors (<xref ref-type="bibr" rid="ref97">Pepper and Brooks, 2021</xref>). Increased biodiversity, including the addition of multiple plant species, is one way for agricultural producers to positively influence soil health and functioning. While managing interspecific competition between crop species can be challenging, there are many benefits to improving on-farm plant biodiversity (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). For example, by growing both peas and canola (two crops from differing agronomic functional groups), producers can sustainably take advantage of a suite of agroecosystem services in a single growing season (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). To contrast, monoculture crop rotations require strategic considerations of year-to-year nutrient requirements and herbicide applications, in addition to predictive considerations of future weather, pest, and market conditions (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>; <xref ref-type="bibr" rid="ref75">Maitra, 2020</xref>). Monoculture crop rotations are also limited to a narrow scope of agroecosystem services provided in a single growing season (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>; <xref ref-type="bibr" rid="ref75">Maitra, 2020</xref>).</p>
<p>The prevention and reduction of soil erosion is another avenue for the maintenance of soil structure and health. An effectively established intercropped system promotes the growth of a dense plant cover, which prevents precipitation from striking bare soil (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>). By reducing the physical impact of rainfall on the soil surface, the occurrence of clogged surface pores and surface crusting is minimized, thereby promoting permeability and reducing surface runoff (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>; <xref ref-type="bibr" rid="ref68">Lithourgidis et al., 2011</xref>). To add, peas have a high concentration of roots in the upper 30&#x202F;cm of soil, which is beneficial for erosion control and enhancing soil aeration, while deeper-rooted canola serves to create vertically connected pore networks (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>; <xref ref-type="bibr" rid="ref68">Lithourgidis et al., 2011</xref>). An increase in root activity at varying depths in the soil profile has also been demonstrated by <xref ref-type="bibr" rid="ref38">Duchene et al. (2017)</xref> to improve soil aggregation and decrease bulk density, which can be soil health challenges in monoculture systems (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<p>In instance of local soil fertility, studies conducted in the intermediate rainfall zone of the iPNW by <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> determined that, when compared to pea and canola monoculture yields, peaola outyielded both without the addition of fertilizer N. By eliminating the need for an N application, peaola can improve the long-term sustainability of production systems via the reduction of fertilizer (<xref ref-type="bibr" rid="ref120">Stott et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Chai et al., 2014</xref>), as well as decrease nonpoint source pollution from nitrate (NO<sub>3</sub><sup>&#x2212;</sup>) leaching (<xref ref-type="bibr" rid="ref135">Whitmore and Schr&#x00F6;der, 2007</xref>; <xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>). In a balanced system, legumes fix sufficient quantities of plant-available N from atmospheric nitrogen (N<sub>2</sub>) to satisfy their own growth needs. If soil N is a limiting growth factor due to low availability or interspecific competition, the legumes will contribute excess mineral N to the system via the sparing effect (<xref ref-type="bibr" rid="ref19">Chalk et al., 2014</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref41">Ehrmann and Ritz, 2014</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). As a highly competitive crop with an N demand comparable to wheat (<xref ref-type="bibr" rid="ref65">Koenig et al., 2011</xref>), canola may initiate the sparing effect by decreasing the soil inorganic N concentration, thereby stimulating BNF in its pea counterpart (<xref ref-type="bibr" rid="ref110">Schmidtke et al., 2004</xref>; <xref ref-type="bibr" rid="ref88">Naudin et al., 2010</xref>). The sparing effect can improve agroecosystem NUE (<xref ref-type="bibr" rid="ref125">Temesgen et al., 2015</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>), but competition between the canola and peas must reach a state of equilibrium in which BNF can be sustained without dominating the peas&#x2019; ability to symbiotically fix N (<xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>).</p>
<p>In addition to soil N enrichment, root exudates from legumes modify the chemical composition of the rhizosphere and facilitate the availability and mobilization of nutrients, including P, K, and Mg (<xref ref-type="bibr" rid="ref52">Hauggaard-Nielsen et al., 2009</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In the instance of P, phosphatase enzymes and carboxylates exuded by legume roots improve P bioavailability and cycling throughout the soil profile via hydrolysis of organic and inorganic forms of P, rendering P more available for plant uptake under less-than ideal environmental conditions (<xref ref-type="bibr" rid="ref55">Hinsinger et al., 2003</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>). For example, after inducing P-deficient conditions on soybean-wheat intercrops and their respective monocultures, <xref ref-type="bibr" rid="ref8">Bargaz et al. (2017)</xref> reported that soybean nodule acid phosphatase activity at the zero to 15&#x202F;cm layer of soil was significantly stimulated under both the monoculture and intercropped system by 37 and 33%, respectively.</p>
<p>The ability of peas to improve P cycling is especially important in peaola systems, as canola does not benefit from P transport via the common mycorrhizal network (CMN). However, peas maintain the ability to form relationships with AMF and become symbionts in the CMN, shifting nutrients within the rhizosphere along a source-sink gradient from nutrient-rich to nutrient-poor plants (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref37">Drijber and McPherson, 2021</xref>). Cropping systems with diverse plants result in AMF networks that are also diverse and abundant (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>); this not only benefits the plants, but also soil aggregate stability, as the binding nature of the CMN, paired with mycelial glomalin secretions, has been shown to improve soil stability (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref86">Morton, 2021</xref>).</p>
<p>Peaola has also demonstrated the ability to alter the compositions of core microbiomes associated with pea and canola monocultures. According to <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref>, in dryland peaola intercropped systems, canola plants may associate with microorganisms that are not typically found in the core microbiomes of canola monoculture systems. Furthermore, <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> states that the microbiomes of peaola intercrops contain at least 10 bacterial core members that are not typically found in either canola or pea monoculture core microbiomes, suggesting that peaola has the ability to &#x201C;recruit&#x201D; microorganisms, and curate both diverse and niche microbiomes. Similarly, <xref ref-type="bibr" rid="ref8">Bargaz et al. (2017)</xref> determined that members of bacterial families known to contribute to soil N cycling or serve as plant growth-promoting rhizobacteria, including <italic>Bradyrhizobiacaea</italic> and <italic>Rhodospirillaceae</italic>, were present in greater amounts under intercropped treatments than monoculture treatments, regardless of soil P availability.</p>
</sec>
<sec id="sec8">
<label>6</label>
<title>Reducing pest pressure with peaola</title>
<p>Increasing plant biodiversity in a cropping system minimizes disease incidence, insect pressure, and weed pressure, which reduces input costs and boosts crop yield over the short- and long-term (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>). In the iPNW, establishing peaola rotations would help break the insect, pest, and disease cycles by employing the dilution effect, which refers to reducing the number of susceptible host plants (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>; <xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). As a member of the Brassica family, canola produces glucosinolates (GSLs), which act as defense mechanisms against soil-borne pathogens when undergoing hydrolysis in the soil (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>; <xref ref-type="bibr" rid="ref41">Ehrmann and Ritz, 2014</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). It has been determined that, on a per-plant basis, canola is a more effective emitter of allelochemicals&#x2014;producing more GSLs when grown in tandem with a legume species than when grown in a monoculture (<xref ref-type="bibr" rid="ref26">Cou&#x00EB;del et al., 2018</xref>). In their 2018 study, Cou&#x00EB;del et al. calculated GSL<sub>MIX</sub>:GSL<sub>SC</sub>, or the ratio of GSLs produced by a crucifer-legume mixture to the GSLs produced by a sole crop (&#x03BC;mol gDM<sup>&#x2212;1</sup>). Reportedly, the canola-legume mixtures had a total root GSL<sub>MIX</sub>:GSL<sub>SC</sub> value of 1.22, and a total shoot GSL<sub>MIX</sub>:GSL<sub>SC</sub> value of 2.47, both of which were significantly greater than the normalized sole crop GSL value of 1.0 (<xref ref-type="bibr" rid="ref26">Cou&#x00EB;del et al., 2018</xref>). Additionally, when compared to monoculture systems, peaola has been shown to contain greater populations of parasitoid insects (<xref ref-type="bibr" rid="ref23">Clark and Madsen, 2021</xref>) and reduced populations of pest insects, such as pea aphid (<italic>Acyrthosiphon pisum</italic>) (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>; <xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>).</p>
<p>Peaola may also reduce weed pressure, as intercropping two plant species is a more effective way to ensure a crop stand competitively utilizes resources such as light, space, water, and nutrients (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>). By consuming these resources at an increased rate, which may stunt weed growth and vigor, peaola can serve as a form of cultural weed control. Subsequently, weed biomass, abundance, and reproductive vigor are also slowed by the lack of available resources, which, in the long-term, may help to deplete the soil weed seed bank (<xref ref-type="bibr" rid="ref98">Poggio, 2005</xref>; <xref ref-type="bibr" rid="ref126">Thorne et al., 2007</xref>). The variability of peaola growth and development ensures the crop receives adequate sunlight, while shading the soil surface and preventing weed germination (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>). Minimal or no applications of N, paired with the release of allelopathic compounds from the roots of canola plants, also help to suppress weed growth and biomass accumulation (<xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>; <xref ref-type="bibr" rid="ref76">Malezi&#x00E9;ux et al., 2009</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). If needed, applications of herbicides selective to grass weed species can be used in peaola systems for an added control benefit (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>).</p>
</sec>
<sec id="sec9">
<label>7</label>
<title>The ability of peaola to promote drought resilience and sustainability</title>
<p>Peaola rotations, and all intercropped rotations by extension, have the potential to boost productivity, promote on-farm drought resilience, and improve sustainability in the dryland areas of the iPNW by maximizing the use of resources on a per-acre basis (<xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>). In low productivity environments, such as those limited by soil moisture, LER values for intercropped rotations are higher than those of monoculture rotations due to the greater RUE of intercropped systems (<xref ref-type="bibr" rid="ref125">Temesgen et al., 2015</xref>). In a multi-year winter and spring peaola study conducted at two locations in the iPNW&#x2019;s intermediate rainfall zone, <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> calculated the overall LER of intercropped peaola to be 1.63, compared to the normalized 1.00 LER value for both pea and canola monocultures. In the same study, <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> also determined that LER values for peaola will remain relatively stable, even during the transition from a year that received average precipitation to a drought year. Peaola production is low-input and financially sustainable, as LER values have shown that peaola will outyield monoculture systems without the addition of synthetic N (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Little-to-no need for synthetic N applications, paired with a reduction or elimination in pesticide applications, reduces greenhouse gas emissions (<xref ref-type="bibr" rid="ref18">Chai et al., 2014</xref>), promotes system-wide sustainability, and improves the system&#x2019;s adaptive capacity to financial stressors (<xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<p>Ecological stability and drought resilience are achieved with peaola through the reduction of risk. Intercropped systems have been shown to improve crop yield stability and on-farm drought resilience over time and across locations, as demonstrated by the increase in peaola LER values from a normal year to a drought year (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Peaola systems are considered less fragile than their monoculture counterparts under abiotic or biotic stress, as the ability of at least one species to survive harsh conditions and reach reproductive maturity is likely (<xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>; <xref ref-type="bibr" rid="ref135">Whitmore and Schr&#x00F6;der, 2007</xref>). In addition to improving sustainability and on-farm resilience, intercropped systems have the potential to improve cereal production in the iPNW, as wheat-following-canola or wheat-following-legume crops have been reported to exceed yields of wheat-following-wheat by 0.8 and 0.7&#x202F;t&#x202F;ha<sup>&#x2212;1</sup>, respectively (<xref ref-type="bibr" rid="ref5">Angus et al., 2015</xref>). However, it is critical to note that (spring) wheat following (winter) canola has been investigated previously in the iPNW. Results from this multiyear study indicated a slight spring wheat yield hit, which was later linked to changes in microbial community composition and a decrease in microbial biomass under a winter canola crop (<xref ref-type="bibr" rid="ref109">Schillinger and Paulitz, 2018</xref>; <xref ref-type="bibr" rid="ref51">Hansen et al., 2019</xref>). The investigators concluded that the decrease in microbial biomass after winter canola was most likely due to the release of allelopathic compounds, such as GSLs and isothiocyanates (ITCs) from canola root residue (<xref ref-type="bibr" rid="ref51">Hansen et al., 2019</xref>). Ultimately, the authors believe the yield-reduction scenario is not a long-term issue, especially if producers account for these findings when planning crop rotations by including a 13-month fallow period after a canola crop (<xref ref-type="bibr" rid="ref109">Schillinger and Paulitz, 2018</xref>; <xref ref-type="bibr" rid="ref51">Hansen et al., 2019</xref>).</p>
</sec>
<sec id="sec10">
<label>8</label>
<title>Barriers to the adoption of peaola in the inland Pacific Northwest</title>
<p>There are several agronomic, economic, and logistical challenges associated with the adoption of intercropping in the iPNW. One reason as to why peaola and similar systems are yet to be attempted on a large scale in the region is due to the complexity of management required for successful intercropping (<xref ref-type="bibr" rid="ref120">Stott et al., 2023</xref>; <xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Lack of available farmworkers (<xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>), differences in nutrient requirements or applications between crop species (<xref ref-type="bibr" rid="ref36">Dowling et al., 2021</xref>), and compatibility issues with chemical pest control are all considered barriers to adoption (<xref ref-type="bibr" rid="ref78">Mamine and Far&#x00E8;s, 2020</xref>; <xref ref-type="bibr" rid="ref74">Madsen et al., 2022</xref>). Herbicide carryover is a concern in the iPNW, as soil-residual herbicides used to control weeds in cereal crop systems may persist in the environment for several years and negatively impact broadleaf crop production (<xref ref-type="bibr" rid="ref107">Schillinger, 2020</xref>). Intercropped rotations also rely on interspecies competition to reduce weed pressure and promote crop yield. Successful manipulation of these innate plant characteristics requires understanding of plant&#x2013;plant and plant&#x2013;soil interactions (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>), favorable climatic conditions (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>), and the careful selection of crop species and seeding rate (<xref ref-type="bibr" rid="ref38">Duchene et al., 2017</xref>; <xref ref-type="bibr" rid="ref101">Reddy et al., 2023</xref>).</p>
<p>While growing broadleaf crops in the iPNW has been historically viewed as a favorable disease mitigation practice, the establishment of a pea-canola intercrop may enable the development of pest and disease cycles that could affect subsequent wheat crops. Wheat grown in the iPNW is susceptible to root-lesion nematodes, with <italic>Pratylenchus neglectus</italic> and <italic>Pratylenchus thornei</italic> as the two most common species (<xref ref-type="bibr" rid="ref113">Smiley et al., 2014</xref>). In a greenhouse assessment of 30 monocotyledonous and dicotyledonous plant species, <xref ref-type="bibr" rid="ref113">Smiley et al. (2014)</xref> determined that canola was a &#x201C;good&#x201D; to &#x201C;very good&#x201D; host of <italic>P. neglectus</italic>, and that peas were generally &#x201C;very good&#x201D; hosts of <italic>P. thornei</italic>. Consequently, it can be inferred that a stand of peaola would be an effective host of both nematode species. To add, <xref ref-type="bibr" rid="ref96">Paulitz (2006)</xref> states that diseases of wheat, such as Rhizoctonia bare patch and root rot, and Pythium root rot, have wide host ranges, and cannot be controlled with crop rotation alone.</p>
<p>Previously in the iPNW, economic and marketing constraints have limited the production of alternative crops, such as canola (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Although canola is considered a major crop in the iPNW now, any alternative crop that is to be produced on a commercial scale in this region must be agronomically feasible and economically competitive with wheat (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). In the iPNW, producers may choose to grow a &#x201C;less risky&#x201D; crop to maintain relationships with absentee landlords and ensure access to federal financial assistance and crop insurance (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Additionally, growing a &#x201C;risky&#x201D; alternative crop is an issue regarding production, and presents the possibility of a significant financial burden for producers, as the equipment currently owned by a producer may not have the capability to plant, harvest, or process two crop species simultaneously (<xref ref-type="bibr" rid="ref120">Stott et al., 2023</xref>), and there is currently no crop insurance option for intercrops. While recent iPNW peaola research has demonstrated that peaola can gross $143.53&#x202F;ha<sup>&#x2212;1</sup>, topping monoculture pea and canola crops at $137.58&#x202F;ha<sup>&#x2212;1</sup> and $114.62&#x202F;ha<sup>&#x2212;1</sup>, respectively (<xref ref-type="bibr" rid="ref138">Wysocki, 2021</xref>), these figures do not reflect grain sorting costs, which <xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref> estimates to be at least $55 USD ($85 AUD) ton<sup>&#x2212;1</sup>. According to <xref ref-type="bibr" rid="ref138">Wysocki (2021)</xref> and <xref ref-type="bibr" rid="ref120">Stott et al. (2023)</xref>, a peaola crop yielding 1,477&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup> would be assessed with a total commodity separation fee of $88.62&#x202F;ha<sup>&#x2212;1</sup>, or 62% of the peaola crop&#x2019;s gross revenue ha<sup>&#x2212;1</sup>. Furthermore, iPNW warehouses or grain buyers may not have the facilities to dry, separate, and process two intermixed commodities (<xref ref-type="bibr" rid="ref78">Mamine and Far&#x00E8;s, 2020</xref>).</p>
</sec>
<sec id="sec11">
<label>9</label>
<title>The future of peaola in the inland Pacific Northwest: conclusions and recommendations</title>
<p>The successful implementation of sustainable intercropped systems in the iPNW will require collaborative participation from researchers, producers, and government entities. Producers should consider their current management goals and determine which intercropping practices will best suit their farm (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>). Additionally, producers who want to establish farm-scale experiments should consider taking advantage of either state- or federal-funded cost-share programs. Private and public research institutions will also play an important role in the future of intercropping. More region-specific research is needed to evaluate the resource-use dimensions of intercropping, in addition to short- and long-term benefits to the agroecosystem (<xref ref-type="bibr" rid="ref44">Fletcher et al., 2016</xref>).</p>
<p>Research should also be conducted to identify genotypic adaptation within species for intercropping systems, similar to initiatives taken in previous decades to further the production of alternative crops, such as canola, in the iPNW (<xref ref-type="bibr" rid="ref13">Brooker et al., 2015</xref>; <xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Currently, there is interest among producers and stakeholders in the iPNW to continue and ramp up peaola research efforts. For context, the investigation performed by <xref ref-type="bibr" rid="ref74">Madsen et al. (2022)</xref> is considered to be a keystone dryland peaola study among the iPNW research community and has been the inspiration for novel research projects. To add, iPNW producers that want to learn more about intercropping have been engaging in facilitated meetings regarding the use of peaola in iPNW cropping systems. These meetings have discussed topics such as potential barriers to adoption, agronomic logistics, and marketing and processing peaola grain.</p>
<p>Altogether, the ability of producers to successfully integrate intercropped rotations on their farms, and the ability of researchers to conduct intercropping experiments will rely on the actions of policymakers. Historically, in the iPNW, the success of alternative crops has been dependent on factors outside the control of producers and researchers, such as favorable trade policies, access to markets, the establishment of grading standards, levy systems, and the expansion of handling and processing facilities (<xref ref-type="bibr" rid="ref72">Maaz et al., 2018</xref>). Ultimately, policy support for sustainable agriculture practices will promote the adoption of intercropping in the iPNW and provide sufficient funding for research programs and producer resources (<xref ref-type="bibr" rid="ref15">Bybee-Finley and Ryan, 2018</xref>).</p>
<p>The many challenges faced by the iPNW&#x2019;s agricultural community will continue to negatively impact the region&#x2019;s ability to produce high-yielding cereal crops. Peaola, with its potential to promote plant biodiversity, improve soil health, and increase land productivity, may be the solution. However, the implementation of this alternative crop in the iPNW may not look like other peaola systems around the world. Peaola utilization as either a winter or spring crop in the iPNW will likely vary due to the region&#x2019;s three distinct rainfall zones and dynamic microclimates. Furthermore, peaola may not be an ideal grain crop for the region. If this alternative commodity proves to be too difficult to separate and market, peaola grazing or peaola silage production could become attractive, economically favorable contingencies for growers.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec12">
<title>Author contributions</title>
<p>LS: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft. SuS: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing. DW: Writing &#x2013; review &#x0026; editing. GH: Writing &#x2013; review &#x0026; editing. HN: Writing &#x2013; review &#x0026; editing. ShS: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec13">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Washington Oilseed Cropping Systems funded the graduate student assistantship.</p>
</sec>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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