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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1731490</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Optimising plant growth, biomass partitioning, and nitrogen use efficiency in taro (<italic>Colocasia esculenta</italic> (L.) Schott)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Steel</surname><given-names>Laura</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="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Antille</surname><given-names>Diogenes L.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<name><surname>Gleadow</surname><given-names>Roslyn M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>School of Biological Sciences, Monash University</institution>, <city>Melbourne</city>, <state>VIC</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Ecological, Plant and Animal Sciences, La Trobe Institute for Sustainable Agriculture and Food, School of Agriculture, Biomedicine and Environment, La Trobe University</institution>, <city>Bundoora</city>, <state>VIC</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff3"><label>3</label><institution>CSIRO Agriculture and Food</institution>, <city>Canberra</city>, <state>ACT</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff4"><label>4</label><institution>Engineering Department, Harper Adams University</institution>, <city>Newport</city>, <state>Shropshire</state>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff5"><label>5</label><institution>Institute for Climate, Energy &amp; Disaster Solutions, Australian National University</institution>, <city>Canberra</city>, <state>ACT</state>,&#xa0;<country country="au">Australia</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Roslyn M. Gleadow, <email xlink:href="mailto:ros.gleadow@monash.edu">ros.gleadow@monash.edu</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>ORCID: Laura Steel, <uri xlink:href="https://orcid.org/0000-0003-3380-8180">orcid.org/0000-0003-3380-8180</uri>; Diogenes L. Antille, <uri xlink:href="https://orcid.org/0000-0002-4924-9689">orcid.org/0000-0002-4924-9689</uri>; Roslyn M. Gleadow, <uri xlink:href="https://orcid.org/0000-0003-4756-0411">orcid.org/0000-0003-4756-0411</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-29">
<day>29</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1731490</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Steel, Antille and Gleadow.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Steel, Antille and Gleadow</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-29">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Taro (<italic>Colocasia esculenta</italic>) is the fourth most important root crop globally, yet it remains understudied. Productivity is frequently constrained by nutrient-depleted soils. This study investigates how varying nitrogen (N) levels affect taro growth, particularly biomass accumulation, sucker production, and the formation of calcium oxalate raphides, which can be harmful when ingested. We hypothesized that: (1) Growth and photosynthetic rate are highest in plants receiving the highest concentration of nitrogen; (2) Optimal corm development occurs when N is neither deficient nor excessive; (3) Sucker production increases when corm N needs are met; (4) Tissue calcium concentration (a proxy for calcium oxalate) rises when growth is limited by N.</p>
</sec>
<sec>
<title>Methods</title>
<p>Taro plants were grown using nutrient solutions with N concentrations ranging from 2.5 to 20 mM N. Plants were harvested at different growth stages up to 10 months to capture corm formation, filling, maturity and post-maturity stages. Biomass and nutrient concentrations were measured and nitrogen use efficiency indices were calculated.</p>
</sec>
<sec>
<title>Results</title>
<p>The highest overall biomass was at 15 mM N, but corm biomass was highest in plants grown at the 5 and 10 mM N treatments. Sucker number and biomass increased with N concentration. Calcium concentration showed a strong positive correlation with N in corms but a weak negative correlation in leaves.</p>
</sec>
<sec>
<title>Discussion/conclusion</title>
<p>Hypotheses 2 and 3 were supported; Hypothesis 1 was not. The optimal N level for maximizing corm biomass without compromising nutritional quality is around 10 mM N. These findings will inform biophysical models for taro to help its development as a food and nutrition security crop.</p>
</sec>
</abstract>
<kwd-group>
<kwd>aroid lilies</kwd>
<kwd>calcium oxalate</kwd>
<kwd>climate change adaptation</kwd>
<kwd>corm</kwd>
<kwd>food security</kwd>
<kwd>Pacific Islands</kwd>
<kwd>raphides</kwd>
<kwd>resource allocation</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared financial support was received for this work and/or its publication. This project was funded in part through the Australian Centre for International Agricultural Research (PC-2012-011) &#x201c;Understanding the response of taro and cassava to climate change&#x201d; and The Department of Foreign Affairs and Trade (DFAT, Australian Government, https://www.dfat.gov.au/), as part of their SciTech4Climate Indo-Pacific Climate-Smart Agriculture Initiative (https://research.csiro.au/pcra/), which enabled the data contained herein to be consolidated and reported.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="3"/>
<ref-count count="55"/>
<page-count count="14"/>
<word-count count="8766"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Plant Nutrition</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Crops with underground storage organs are the second most important source of carbohydrates globally, after cereals (<xref ref-type="bibr" rid="B53">Villordon et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B22">Gregory and Wojciechowski, 2020</xref>; <xref ref-type="bibr" rid="B55">Zierer et&#xa0;al., 2020</xref>). One such crop is taro (<italic>Colocasia esculenta</italic> L., Schott), a tropical, perennial plant eaten by over 200 million people in the Indo-Pacific region (<xref ref-type="bibr" rid="B32">Lebot, 2009</xref>; <xref ref-type="bibr" rid="B28">Kaushal et&#xa0;al., 2015</xref>). Taro is an aroid lily (Araceae) with a swollen underground stem known as a corm. All parts of the plant are edible except for the peel of the corm and the roots (<xref ref-type="bibr" rid="B41">Mergedus et&#xa0;al., 2015</xref>). Taro is a major staple in the Pacific Islands where it has been cultivated for many thousands of years and holds great cultural significance (<xref ref-type="bibr" rid="B8">Bradbury and Holloway, 1988</xref>; <xref ref-type="bibr" rid="B30">Kinaston et&#xa0;al., 2014</xref>). Across the Pacific region, food production has declined by 5-37% per capita this century due to factors associated with climate change, such as; increasingly erratic or less reliable rainfall (<xref ref-type="bibr" rid="B11">CSIRO et&#xa0;al., 2015</xref>), outbreaks of pests and diseases (<xref ref-type="bibr" rid="B48">Singh et&#xa0;al., 2012</xref>), rising sea levels (<xref ref-type="bibr" rid="B44">Myrans et&#xa0;al., 2024</xref>), and declining soil fertility (<xref ref-type="bibr" rid="B3">Antille et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B50">Susumu et&#xa0;al., 2023</xref>). Other contributing factors are a decline in the farm labor force and lack of mechanization in some systems (<xref ref-type="bibr" rid="B40">Meier et&#xa0;al., 2023</xref>). Reversing this decline in food and nutrition security in the region is intimately interwoven with taro productivity, yet research examining ways to increase taro production and quality is limited (<xref ref-type="bibr" rid="B34">Lebot et&#xa0;al., 2018</xref>).</p>
<p>Taro has the lowest field productivity of all root and tuber crops in Oceania, producing 6&#x2013;7 tons fresh weight per hectare compared to 10&#x2013;12 tons for other storage organ crops, such as cassava and sweet potato (<xref ref-type="bibr" rid="B15">FAOSTAT, 2023</xref>). Studies in Samoa and Fiji have reported significant yield gaps in taro, as determined by the difference between actual and attainable corm yields under current and best management practices, respectively (<xref ref-type="bibr" rid="B4">Antille et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B6">Beletse et&#xa0;al., 2025</xref>). While the area harvested globally has doubled this century (from approximately one to two million ha), the area under taro cultivation in Oceania has remained at around 50,000 ha (<xref ref-type="bibr" rid="B15">FAOSTAT, 2023</xref>). Recent reviews have identified that taro remains an under researched, &#x2018;orphan crop&#x2019; (<xref ref-type="bibr" rid="B2">Aditika et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Lebot and Ivan&#x10d;i&#x10d;, 2022</xref>; <xref ref-type="bibr" rid="B16">Ferdaus et&#xa0;al., 2023</xref>), with a need to explore the optimization of micropropagation conditions and biotechnology (<xref ref-type="bibr" rid="B13">Deo et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B34">Lebot et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B37">Manju et&#xa0;al., 2023</xref>).</p>
<p>Crop models can be used to predict how variables such as climate, soil, water, and nutrients influence yield and inform pathways for crop improvement (<xref ref-type="bibr" rid="B29">Keating et&#xa0;al., 2003</xref>). <xref ref-type="bibr" rid="B6">Beletse et&#xa0;al. (2025)</xref> expanded the capability of biophysical models such as APSIM (<ext-link ext-link-type="uri" xlink:href="https://www.apsim.info/">https://www.apsim.info/</ext-link>) by incorporating the APSIM-Taro module (<xref ref-type="bibr" rid="B10">Crimp et&#xa0;al., 2017</xref>) into the APSIM Next Gen framework (<xref ref-type="bibr" rid="B26">Holzworth et&#xa0;al., 2018</xref>) for select taro varieties. Taro is considered to prefer fertile soil that is high in nitrogen (<xref ref-type="bibr" rid="B8">Bradbury and Holloway, 1988</xref>; <xref ref-type="bibr" rid="B38">Manrique, 1994</xref>). However, data concerning the impact of fertilizers on taro productivity, growth rate, time to maturity, nutrient recovery, and corm biomass is lacking (<xref ref-type="bibr" rid="B12">Deenik et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B39">Matthews and Ghanem, 2021</xref>; <xref ref-type="bibr" rid="B4">Antille et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B16">Ferdaus et&#xa0;al., 2023</xref>). Traditional taro farmers rarely use fertilizers or organic amendments and broad recommendations are largely unavailable, with some exceptions (e.g (<xref ref-type="bibr" rid="B43">Moles et&#xa0;al., 1984</xref>; <xref ref-type="bibr" rid="B12">Deenik et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B42">Moa, 2018</xref>). Official recommendations for nutrient management in Pacific taro-based systems may not be reliable, as they do not reflect recent developments in plant breeding (<xref ref-type="bibr" rid="B3">Antille et&#xa0;al., 2022</xref>).</p>
<p>In other crops with underground storage organs, increasing N supply can result in the allocation of biomass away from the storage organs and towards the shoots (<xref ref-type="bibr" rid="B22">Gregory and Wojciechowski, 2020</xref>; <xref ref-type="bibr" rid="B55">Zierer et&#xa0;al., 2020</xref>). Therefore, increasing N supply alone may not increase the production of corm biomass in taro. From an agronomic perspective, a convenient way to determine the &#x2018;optimum&#x2019; N application rate is to identify the point at which the ratio of corm biomass to nitrogen applied is maximized (nitrogen use efficiency). Two useful indices of nitrogen use efficiency (NUE) are the apparent fertilizer N recovery (AFNR) and the partial factor productivity of applied N (PFP<sub>N</sub>). Both indicators can be directly derived from the data collected in controlled environments or the field in a relatively straightforward manner (<xref ref-type="bibr" rid="B5">Antille and Moody, 2021</xref>). To determine the optimum rate of N fertilizer and calculate NUE, taro plants were grown under controlled environmental conditions using a complete fertilizer containing one of five different nitrogen concentrations (2.5, 5, 10, 15 and 20 mM N). N was supplied as nitrate and ammonium (5:1, mole:mole). Plants were harvested at regular intervals for 10 months to capture corm formation (Harvest 1-2), corm filling (Harvests 2-3), maturity (Harvest 3) and post-maturity (Harvest 4). All other nutrients were held constant and were not limiting for growth. To quantify the downstream effects of nitrogen supply on the composition of taro leaves and corms, a range of macro- and micronutrients were measured alongside total N and the C:N ratio (as an indicator of sink strength).</p>
<p>Like all Aroid lilies, taro plants are &#x2018;acrid&#x2019;, containing raphides of calcium oxalate (CaOx), which must be removed through processing before consumption (<xref ref-type="bibr" rid="B8">Bradbury and Holloway, 1988</xref>; <xref ref-type="bibr" rid="B51">Temesgen and Retta, 2015</xref>). Reducing calcium oxalate content is an important consideration for taro breeders (<xref ref-type="bibr" rid="B31">Kristl et&#xa0;al., 2021</xref>) that may also be affected by altered fertilizer regimes. To assess whether changes in N supply would result in a change in acridity, calcium concentrations of leaves and corms were determined as a proxy for calcium oxalate (<xref ref-type="bibr" rid="B35">Lloyd et&#xa0;al., 2021</xref>).</p>
<p>It was hypothesised that:</p>
<list list-type="order">
<list-item>
<p>Growth and photosynthetic rate would be highest in plants receiving the highest concentration of nitrogen.</p></list-item>
<list-item>
<p>Corm biomass would be greatest in plants supplied with 5&#x2013;15 mM N, as optimal corm development occurs when N is neither deficient nor excessive.</p></list-item>
<list-item>
<p>Sucker production would increase with increasing N supply, once the corm N requirement was met.</p></list-item>
<list-item>
<p>Calcium concentration of leaves and tubers would be higher (as an estimate of acridity) where N supply limited growth.</p></list-item>
</list>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant material and growing conditions</title>
<p>Taro plants were grown following <xref ref-type="bibr" rid="B35">Lloyd et&#xa0;al. (2021)</xref>. Bare-rooted plantlets (~20 cm tall) of 110 two-week-old taro plants (<italic>cv</italic>. Bun Long, an eddoe variety) were purchased from Tropical Exotics Wholesale Nursery, Ningi (Queensland, Australia) and transplanted into individual pots (diameter = 250 mm, capacity = 8 L) containing Debco Seed &amp; Cutting Premium Germinating Mix (Evergreen Garden Care Australia). To ensure establishment, plantlets were watered to saturation daily and provided with liquid fertilizer once per week for seven weeks (All-Purpose Thrive<sup>&#xae;</sup>, N:P:K ratios of 25:5:8.8). After this, plants were randomly allocated to one of five treatment groups, each receiving a modified Hoagland&#x2019;s Solution, differing only in nitrogen concentration (2.5, 5, 10, 15, and 20 mM N). The doses of nitrogen were chosen to extend from deficiency to excess nitrogen (<xref ref-type="bibr" rid="B38">Manrique, 1994</xref>; <xref ref-type="bibr" rid="B47">Reuter and Robinson, 1997</xref>). Nitrogen was supplied as nitrate and ammonium, in a 5:1 mole:mole ratio with sodium as the balancing cation, following <xref ref-type="bibr" rid="B17">Gleadow et&#xa0;al. (1998)</xref>. Ammonia was included because it is common source of N, particularly in swampy conditions where taro is often grown (<xref ref-type="bibr" rid="B12">Deenik et&#xa0;al., 2013</xref>). Other nutrient concentrations remained constant and non-limiting for growth (<xref ref-type="bibr" rid="B17">Gleadow et&#xa0;al., 1998</xref>): 6.2 mM KCl, 6.2 mM CaCl<sub>2</sub>, 0.25 mM MgSO<sub>4</sub>, 0.125 mM KH<sub>2</sub>PO<sub>4</sub>, 4 &#xb5;M FeEDTA; Micronutrients were 20 &#xb5;M H<sub>3</sub>BO<sub>3</sub>, 46 &#xb5;M MnSO<sub>4</sub>, 15 &#xb5;M CuSO<sub>4</sub>, 46 &#xb5;M ZnSO<sub>4</sub>.7H<sub>2</sub>0 and 26.5 &#xb5;M NH<sub>4</sub>Mo<sub>7</sub>O<sub>4</sub>.4H<sub>2</sub>O.</p>
<p>The overall N:P ratio (mole:mole) increased as follows with increasing nitrogen concentration: 1.5, 8.5, 17, 25.5 and 34 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Each plant received 1 L of nutrient solution twice per week. Pots were flushed once per week with 1 L of fresh water to prevent the accumulation of salts. Given that taro prefers moist or even wet soil conditions, plants were also watered using a sprinkler for one minute each day (~500 mL). Plants received a combined total of ~6.5 L of water and nutrient solution each week. The pH of the nutrient solution before application to the pots was 3.6 and not significantly different between treatments (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). The pH of the potting mix ranged from 6.13 &#xb1; 0.17 to 5.24 &#xb1; 0.07 with an overall mean of 5.6 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>).</p>
<p>Plants were grown under natural light in the greenhouse at Monash University, Melbourne (37&#xb0;54&#x2019;28.0908&#x2019;&#x2019; S and 145&#xb0;8&#x2019;2.2452&#x2019;&#x2019; E). Three months after planting (January), the taro plants from each treatment group were transplanted to 14 L pots. Plants were grown for an additional seven months post-transplant and destructively harvested at intervals (outlined below). The mean temperature and relative humidity were 23.5/21.9&#xb0;C (day/night) and 70.7/77.6% (day/night), respectively. From March, the natural photoperiod was extended to 14 hours with supplemental lighting (MK-1 Just-a14 shade, Ablite, Melbourne, Australia). Pot positions were randomized and rotated weekly to minimize microenvironment effects. Photosynthetically Active Radiation (PAR) was measured at three positions in the canopy (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>) and the data were used to determine the PAR used in the photosynthesis measurements (see below).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Phenology, harvesting protocol and growth analysis</title>
<p>Four destructive harvests were conducted to capture different taro growth phases (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Harvest 1 took place 35 days after planting (DAP) and ~2 weeks before the imposition of the treatments began (n = 12). The remaining harvests were as follows; Harvest 2 (124&#x2013;125 DAP, ~4 months, n = 30, 6 plants/treatment), Harvest 3 (245&#x2013;265 DAP, ~8 months, n = 30, 6 plants/treatment), and Harvest 4 (298&#x2013;305 DAP, ~10 months, n = 40, 6&#x2013;9 plants/treatment). The period between Harvest 1&#x2013;2 spanned corm formation, Harvest 2&#x2013;3 encompassed the corm filling period and Harvest 4 was post-maturity. Taro is usually harvested for consumption when the plants are at the stage captured in Harvest 3 (maturity). Plant height and leaf number were recorded prior to each harvest.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Nitrogen treatment and harvest timeline for taro plants. Harvest 1 took place 35 days after planting (DAP) and 16 days before the imposition of treatments began (n = 12). Plants were randomly assigned to one of five treatment groups, varying only in nitrogen content: 2.5, 5, 10, 15 and 20 mM N. The remaining harvests were as follows; Harvest 2, (124&#x2013;125 DAP, ~4 months, n = 30, 6 plants/treatment), Harvest 3 (245&#x2013;265 DAP, ~8 months, n = 30, 6 plants/treatment), and Harvest 4 (298&#x2013;305 DAP, ~10 months, n = 40, 6&#x2013;9 plants/treatment).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g001.tif">
<alt-text content-type="machine-generated">Timeline illustrating a nitrogen treatment period from 51 to 305 days after planting (DAP), segmented into five phases: pre-treatment, corm formation, corm filling, maturity, and post-maturity. Harvest 1 occurs at 35 DAP with twelve plants, Harvest 2 at 124-125 DAP with thirty plants, Harvest 3 at 245-265 DAP with thirty plants, and Harvest 4 at 298-305 DAP with forty plants. Below, illustrations show plant growth stages corresponding to each harvest, from small to mature plants.</alt-text>
</graphic></fig>
<p>When harvesting, first the suckers (side shoots and associated cormels) were separated from the main plant. The main plant was then divided into roots, corm, petioles, and leaf blades (&#x2018;leaves&#x2019; hereafter). Leaf area of the expanded leaves was determined using a leaf area meter (LI-3000 Portable Area Meter LI-COR, Nebraska, USA). Roots, corms and cormels were washed to remove soil attached to the harvested plant material. Harvested material was placed in paper bags and oven dried at 60&#xb0;C for at least one week until a stable mass was reached. Relative growth rate (RGR, g g<sup>-1</sup> day<sup>-1</sup>) was calculated relative to the mean biomass of the main plant before treatments (Harvest 1) as follows (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>):</p>
<disp-formula id="eq1"><label>(1)</label>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>R</mml:mi><mml:mi>G</mml:mi><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>l</mml:mi><mml:mi>n</mml:mi><mml:mo>&#xa0;</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mi>l</mml:mi><mml:mi>n</mml:mi><mml:mo>&#xa0;</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>T</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where: W<sub>1</sub> and W<sub>2</sub> are the average total plant biomass (g) at Harvest 1 (Time 1, T<sub>1</sub>) and the biomass of individual plants at Harvest 2, 3 or 4 (Time 2, T<sub>2</sub>). Time (T) is expressed in days.</p>
<p>In addition to the four harvests, plant height, total number of leaves and leaf area of the first fully expanded leaf were estimated every two weeks on the same plants in each treatment group. Leaf size of the first fully expanded leaf was estimated using leaf length and width at the notch following <xref ref-type="bibr" rid="B36">Lu et&#xa0;al. (2004)</xref> as modified by <xref ref-type="bibr" rid="B10">Crimp et&#xa0;al. (2017)</xref>. Additional phenological data are available on-line at the Monash Bridges (DOI: 10.26180/30423973).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Photosynthetic parameters</title>
<p>The rate of photosynthesis (A) was measured on the youngest fully expanded leaf of each plant (n = 5-7) in the week prior to the Harvest 3 (20&#x2013;27 June 2015). Measurements were taken with a LI-COR LI-6400 Portable Photosynthesis Machine (LI-COR Nebraska, USA) under glasshouse conditions as follows; relative humidity = 55-60%, temperature = 25&#xb0;C, CO<sub>2</sub> = 400 ppm, and PAR = 500 &#xb5;mol quanta m<sup>-2</sup> s<sup>-2</sup> (with 10% blue light). Measurements were taken from the middle of the side of the lamina, avoiding the midrib and prominent veins. Additional environmental data are available on-line at the Monash Bridges (DOI: 10.26180/30423973).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Nutrient analysis and nitrogen use efficiency</title>
<p>The oven-dried (60&#xb0;C) samples of a subset of leaves and corms from Harvest 3 (245&#x2013;265 DAP) were ground to a fine powder for nutrient analysis. Total elemental N and Carbon (C) were determined using a LECO CNS2000 analyzer (Monash University) (n = 4). Other elements (P, K, S, Ca, Mg, Na, Cu, Zn, Mn, Fe, Bo, Mo, Co, Si) were measured on microwave-digested samples using inductively coupled plasma mass spectrometry (ICPMS; Environmental Analysis Laboratories, Southern Cross University, NSW) (n = 3). Protein was estimated using total N and S concentrations.</p>
<p>Nitrogen use efficiency (NUE) is reported using the following two NUE indicators (<xref ref-type="disp-formula" rid="eq2">Equations 2</xref>, <xref ref-type="disp-formula" rid="eq3">3</xref>, adapted from (<xref ref-type="bibr" rid="B5">Antille and Moody, 2021</xref>).</p>
<disp-formula id="eq2"><label>(2)</label>
<mml:math display="block" id="M2"><mml:mrow><mml:mi>A</mml:mi><mml:mi>F</mml:mi><mml:mi>N</mml:mi><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>C</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>m</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>b</mml:mi><mml:mi>i</mml:mi><mml:mi>o</mml:mi><mml:mi>m</mml:mi><mml:mi>a</mml:mi><mml:mi>s</mml:mi><mml:mi>s</mml:mi><mml:mo>&#xd7;</mml:mo><mml:mo stretchy="false">[</mml:mo><mml:mi>N</mml:mi><mml:mo stretchy="false">]</mml:mo><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>R</mml:mi></mml:msub></mml:mrow></mml:mfrac><mml:mo>&#xa0;</mml:mo><mml:mo>&#xa0;</mml:mo></mml:mrow></mml:math>
</disp-formula>
<p>where AFNR is the apparent fertilizer nitrogen (N) recovery in corm (kg kg<sup>-1</sup>) and the corm biomass is the corm dry matter (expressed as kg per pot). [N] is the nitrogen concentration in the corm (%, w/w) and N<sub>R</sub> is the nitrogen application rate (expressed as kg per pot).</p>
<disp-formula id="eq3"><label>(3)</label>
<mml:math display="block" id="M3"><mml:mrow><mml:mi>P</mml:mi><mml:mi>F</mml:mi><mml:msub><mml:mi>P</mml:mi><mml:mi>N</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi>C</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>m</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>b</mml:mi><mml:mi>i</mml:mi><mml:mi>o</mml:mi><mml:mi>m</mml:mi><mml:mi>a</mml:mi><mml:mi>s</mml:mi><mml:mi>s</mml:mi></mml:mrow><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>R</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where corm biomass and N<sub>R</sub> are as defined in <xref ref-type="disp-formula" rid="eq2">Equation 2</xref>.</p>
<p>While both NUE expressions are similar, <xref ref-type="disp-formula" rid="eq3">Equation 3</xref> denotes the amount of nitrogen taken up by the corm from a specified rate of applied N fertilizer, whereas <xref ref-type="disp-formula" rid="eq2">Equation 2</xref> denotes dry matter accumulated by the corm at harvest (yield) from a specified rate of applied N fertilizer.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Statistical analyses were undertaken with GenStat Release 22<sup>nd</sup> Edition (VSN International Ltd., 2025). ANOVA was used to compare treatments within harvests. The least significant differences (LSD) were used to compare means with a probability level of 5% (p &lt; 0.05). Statistical analyses were graphically assessed by means of residual plots and normalization of the data was not required, unless otherwise stated. Tukey&#x2019;s HSD tests were performed using RStudio (Version 0.99.446) and used to detect significant differences between treatment means (p &lt; 0.05). Values in the text, tables and graphs are Means &#xb1; 1 Standard Error, unless otherwise stated.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Phenology, leaf area and photosynthesis</title>
<p>Leaf number and plant height were relatively consistent between treatment groups over time. (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>). Across harvests, leaf area of fully expanded leaves was highest in 15mM N-treated plants at Harvest 2 (H2, during corm filling) with an area of 1055.9 &#xb1; 133.5 cm<sup>2</sup>, compared to 259.98 &#xb1; 69.52 cm<sup>2</sup> in plants from the same treatment at Harvest 4 (H4, Post maturity) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In contrast, the total leaf area of plants from the lowest, 2.5 mM N treatment group was significantly smaller than that of the 15 mM N-treated plants at H2 (509.81 &#xb1; 59.79 cm<sup>2</sup>) but larger at H4 (689.00 &#xb1; 171.20 cm<sup>2</sup>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Taro plants (<italic>Colocasia esculenta</italic>) supplied with fertilizer containing five different concentrations of nitrogen (2.5, 5, 10, 15, 20 mM N) at Harvest 3 (245&#x2013;265 DAP), approx. 7 months after treatments began.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g002.tif">
<alt-text content-type="machine-generated">Five potted plants are displayed in a row, each subjected to different nitrogen concentrations: 2.5 mM, 5 mM, 10 mM, 15 mM, and 20 mM. The plants vary in size and leaf density, with the 15 mM plant appearing the most robust and leafy, while the 2.5 mM and 20 mM plants are smaller with fewer leaves. The background is a plain wall, and all pots rest on a speckled floor.</alt-text>
</graphic></fig><table-wrap-group id="T1" position="float"><label>Table&#xa0;1</label>
<caption>
<p>Total biomass (dry weight, g dw), Relative Growth Rate (RGR), height, leaf area, leaf number, and number of suckers for taro plants from five different nitrogen treatment groups (2.5, 5, 10, 15 and 20mM N) harvested at intervals (Harvests 1-4).</p>
</caption>
<table-wrap>
<label>(a)</label>
<caption>
<p>
Harvest 1: approx. 2 weeks before treatments began (35 DAP).</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<td valign="middle" align="left">Total biomass (g dw)</td>
<td valign="middle" align="center">4.91 &#xb1; 0.52</td>
</tr>
<tr>
<td valign="middle" align="left">Height (cm)</td>
<td valign="middle" align="center">31.2 &#xb1; 1.32</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf number</td>
<td valign="middle" align="center">3.25 &#xb1; 0.20</td>
</tr>
<tr>
<td valign="middle" align="left">Number of suckers</td>
<td valign="middle" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap>
<label>(b)</label>
<caption>
<p>
Harvest 2: approx. 2.5 months after treatments began (124&#x2013;125 DAP).</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">2.5 mM</th>
<th valign="middle" align="center">5 mM</th>
<th valign="middle" align="center">10 mM</th>
<th valign="middle" align="center">15 mM</th>
<th valign="middle" align="center">20 mM</th>
<th valign="middle" align="center">p value</th>
</tr>
<tr>
<td valign="middle" align="left">Total biomass (g dw)</td>
<td valign="middle" align="center">20.70 &#xb1; 2.93</td>
<td valign="middle" align="center">24.52 &#xb1; 8.69</td>
<td valign="middle" align="center">27.11 &#xb1; 5.93</td>
<td valign="middle" align="center">28.85 &#xb1; 2.86</td>
<td valign="middle" align="center">17.20 &#xb1; 2.44</td>
<td valign="middle" align="center">0.510</td>
</tr>
<tr>
<td valign="middle" align="left">RGR (g g<sup>-1</sup> day<sup>-1</sup>)</td>
<td valign="middle" align="center">0.0068 &#xb1; 0.0006</td>
<td valign="middle" align="center">0.0063 &#xb1; 0.0018</td>
<td valign="middle" align="center">0.0079 &#xb1; 0.0009</td>
<td valign="middle" align="center">0.0085 &#xb1; 0.0006</td>
<td valign="middle" align="center">0.0058 &#xb1; 0.0009</td>
<td valign="middle" align="center">0.359</td>
</tr>
<tr>
<td valign="middle" align="left">Height (cm)</td>
<td valign="middle" align="center">49.1 &#xb1; 3.1</td>
<td valign="middle" align="center">52.9 &#xb1; 3.8</td>
<td valign="middle" align="center">53.0 &#xb1; 2.5</td>
<td valign="middle" align="center">56.8 &#xb1; 2.2</td>
<td valign="middle" align="center">55.3 &#xb1; 2.2</td>
<td valign="middle" align="center">0.390</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf area (cm<sup>2</sup>)</td>
<td valign="middle" align="center">509.81 &#xb1; 59.79<sup>A</sup></td>
<td valign="middle" align="center">656.03 &#xb1; 143.33<sup>AB</sup></td>
<td valign="middle" align="center">768.02 &#xb1; 106.25<sup>BC</sup></td>
<td valign="middle" align="center">1055.55 &#xb1; 133.51<sup>C</sup></td>
<td valign="middle" align="center">476.50 &#xb1; 103.39<sup>A</sup></td>
<td valign="middle" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf number</td>
<td valign="middle" align="center">3.2 &#xb1; 0.2<sup>A</sup></td>
<td valign="middle" align="center">3.2 &#xb1; 0.3<sup>A</sup></td>
<td valign="middle" align="center">3.8 &#xb1; 0.3<sup>AB</sup></td>
<td valign="middle" align="center">4.2 &#xb1; 0.3<sup>B</sup></td>
<td valign="middle" align="center">3.2 &#xb1; 0.2<sup>A</sup></td>
<td valign="middle" align="center">0.027</td>
</tr>
<tr>
<td valign="middle" align="left">Number of suckers</td>
<td valign="middle" align="center">0.0</td>
<td valign="middle" align="center">0.5 &#xb1; 0.5</td>
<td valign="middle" align="center">0.3 &#xb1; 0.3</td>
<td valign="middle" align="center">0.5 &#xb1; 0.3</td>
<td valign="middle" align="center">0.2 &#xb1; 0.2</td>
<td valign="middle" align="center">0.759</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap>
<label>(c)</label>
<caption>
<p>
Harvest 3: approx. 7 months after treatments began (245&#x2013;265 DAP).</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">2.5 mM</th>
<th valign="middle" align="center">5 mM</th>
<th valign="middle" align="center">10 mM</th>
<th valign="middle" align="center">15 mM</th>
<th valign="middle" align="center">20 mM</th>
<th valign="middle" align="center">p value</th>
</tr>
<tr>
<td valign="middle" align="left">Total biomass (g dw)</td>
<td valign="middle" align="center">49.72 &#xb1; 7.72<sup>A</sup></td>
<td valign="middle" align="center">113.17 &#xb1; 5.18<sup>B</sup></td>
<td valign="middle" align="center">115.89 &#xb1; 24.38<sup>B</sup></td>
<td valign="middle" align="center">60.91 &#xb1; 4.20<sup>A</sup></td>
<td valign="middle" align="center">39.32 &#xb1; 10.64<sup>A</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">RGR (g g<sup>-1</sup> day<sup>-1</sup>)</td>
<td valign="middle" align="center">0.0043 &#xb1; 0.0003<sup>A</sup></td>
<td valign="middle" align="center">0.0059 &#xb1; 0.0001<sup>B</sup></td>
<td valign="middle" align="center">0.0058 &#xb1; 0.0004<sup>B</sup></td>
<td valign="middle" align="center">0.0048 &#xb1; 0.0001<sup>AB</sup></td>
<td valign="middle" align="center">0.0036 &#xb1; 0.0005<sup>A</sup></td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">Height (cm)</td>
<td valign="middle" align="center">52.5 &#xb1; 1.9</td>
<td valign="middle" align="center">51.9 &#xb1; 4.8</td>
<td valign="middle" align="center">58.3 &#xb1; 4.8</td>
<td valign="middle" align="center">47.5 &#xb1; 3.0</td>
<td valign="middle" align="center">44.3 &#xb1; 5.3</td>
<td valign="middle" align="center">0.202</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf area (cm<sup>2</sup>)</td>
<td valign="middle" align="center">696.95 &#xb1; 156.58<sup>A</sup></td>
<td valign="middle" align="center">381.95 &#xb1; 66.45<sup>BC</sup></td>
<td valign="middle" align="center">496.28 &#xb1; 125.35<sup>BC</sup></td>
<td valign="middle" align="center">196.06 &#xb1; 41.89<sup>D</sup></td>
<td valign="middle" align="center">270.08 &#xb1; 71.79<sup>CD</sup></td>
<td valign="middle" align="center">0.015</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf number</td>
<td valign="middle" align="center">2.3 &#xb1; 0.3</td>
<td valign="middle" align="center">2.2 &#xb1; 0.31</td>
<td valign="middle" align="center">4.0 &#xb1; 1.5</td>
<td valign="middle" align="center">2.3 &#xb1; 0.6</td>
<td valign="middle" align="center">1.7 &#xb1; 0.3</td>
<td valign="middle" align="center">0.271</td>
</tr>
<tr>
<td valign="middle" align="left">Number of suckers</td>
<td valign="middle" align="center">2.7 &#xb1; 0.9<sup>A</sup></td>
<td valign="middle" align="center">5.00 7&#xb1; 0.7<sup>AB</sup></td>
<td valign="middle" align="center">7.3 &#xb1; 0.8<sup>B</sup></td>
<td valign="middle" align="center">5.50 &#xb1; 0.6<sup>B</sup></td>
<td valign="middle" align="center">3.5 &#xb1; 1.2<sup>A</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap>
<caption>
<p><bold>(d)</bold> Harvest 4: approx. 8.5 months after treatments began (298&#x2013;305 DAP).</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">2.5 mM</th>
<th valign="middle" align="center">5 mM</th>
<th valign="middle" align="center">10 mM</th>
<th valign="middle" align="center">15 mM</th>
<th valign="middle" align="center">20 mM</th>
<th valign="middle" align="center">p value</th>
</tr>
<tr>
<td valign="middle" align="left">Total biomass (g dw)</td>
<td valign="middle" align="center">74.77 &#xb1; 10.12<sup>A</sup></td>
<td valign="middle" align="center">147.32 &#xb1; 10.93<sup>BC</sup></td>
<td valign="middle" align="center">168.72 &#xb1; 13.78<sup>C</sup></td>
<td valign="middle" align="center">102.91 &#xb1; 11.03<sup>AB</sup></td>
<td valign="middle" align="center">66.49 &#xb1; 12.58<sup>A</sup></td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">RGR (g g<sup>-1</sup> day<sup>-1</sup>)</td>
<td valign="middle" align="center">0.0043 &#xb1; 0.0002<sup>A</sup></td>
<td valign="middle" align="center">0.0055 &#xb1; 0.0001<sup>B</sup></td>
<td valign="middle" align="center">0.0057 &#xb1; 0.0001<sup>B</sup></td>
<td valign="middle" align="center">0.0048 &#xb1; 0.0002<sup>A</sup></td>
<td valign="middle" align="center">0.0041 &#xb1; 0.0003<sup>A</sup></td>
<td valign="middle" align="center">0. 004</td>
</tr>
<tr>
<td valign="middle" align="left">Height (cm)</td>
<td valign="middle" align="center">58.4 &#xb1; 1.9</td>
<td valign="middle" align="center">61.6 &#xb1; 2.6</td>
<td valign="middle" align="center">51.1 &#xb1; 6.3</td>
<td valign="middle" align="center">56.8 &#xb1; 3.9</td>
<td valign="middle" align="center">44.1 &#xb1; 3.9</td>
<td valign="middle" align="center">0. 067</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf area (cm<sup>2</sup>)</td>
<td valign="middle" align="center">689.00 &#xb1; 171.20<sup>A</sup></td>
<td valign="middle" align="center">498.90 &#xb1; 100.10<sup>A</sup></td>
<td valign="middle" align="center">170.94 &#xb1; 44.40<sup>B</sup></td>
<td valign="middle" align="center">259.98 &#xb1; 69.52<sup>AB</sup></td>
<td valign="middle" align="center">41.88 &#xb1; 20.55<sup>C</sup></td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf number</td>
<td valign="middle" align="center">2.3 &#xb1; 0.7</td>
<td valign="middle" align="center">1.7 &#xb1; 0.4</td>
<td valign="middle" align="center">2.3 &#xb1; 0.6</td>
<td valign="middle" align="center">2.2 &#xb1; 0.5</td>
<td valign="middle" align="center">2.5 &#xb1; 0.6</td>
<td valign="middle" align="center">0.926</td>
</tr>
<tr>
<td valign="middle" align="left">Number of suckers</td>
<td valign="middle" align="center">2.7 &#xb1; 0.6<sup>A</sup></td>
<td valign="middle" align="center">6.1 &#xb1; 0.4<sup>BC</sup></td>
<td valign="middle" align="center">8.0 &#xb1; 0.5<sup>C</sup></td>
<td valign="middle" align="center">5.9 &#xb1; 0.8<sup>B</sup></td>
<td valign="middle" align="center">5.0 &#xb1; 0.7<sup>AB</sup></td>
<td valign="middle" align="center">0.016</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RGR is calculated relative to Harvest 1 (35 DAP, two weeks before treatments were imposed). Leaf area is the area of fully expanded leaves only. Means are the average of 6&#x2013;9 replicates &#xb1; 1 SE. Means in rows with the same letter superscript are not significantly different at p &lt; 0.05. See <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref> for additional data.</p></fn>
</table-wrap-foot>
</table-wrap></table-wrap-group>
<p>Assimilation rates were measured in the week prior to Harvest 3 when plants were ~7 months old. Photosynthetic rates ranged from 4.90 &#xb1; 0.62 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup> to 6.55 &#xb1; 0.68 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup> in plants from the 2.5 mM and 15 mM N treatments; however, no significant differences were detected (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Assimilation rate as average &#x3bc;mol CO<sub>2</sub> m<sup>-2</sup>s<sup>-1</sup> for the first fully expanded leaf per plant for each of the five nitrogen treatment groups at ~250 DAP.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">N treatment</th>
<th valign="middle" align="center">&#xb5;mol CO<sub>2</sub> m<sup>-2</sup>s<sup>-1</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">2.5 mM</td>
<td valign="middle" align="center">6.55 &#xb1; 0.68</td>
</tr>
<tr>
<td valign="middle" align="center">5 mM</td>
<td valign="middle" align="center">6.12 &#xb1; 0.68</td>
</tr>
<tr>
<td valign="middle" align="center">10 mM</td>
<td valign="middle" align="center">5.23 &#xb1; 0.80</td>
</tr>
<tr>
<td valign="middle" align="center">15 mM</td>
<td valign="middle" align="center">4.90 &#xb1; 0.62</td>
</tr>
<tr>
<td valign="middle" align="center">20 mM</td>
<td valign="middle" align="center">4.97 &#xb1; 0.29</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Each mean is the average of 5&#x2013;7 replicates &#xb1; 1 SE. Means are not statistically significant (p &gt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Growth and biomass partitioning</title>
<p>Total biomass increased for each treatment group over the duration of the study, but the rate of increase and the partitioning between different organs varied significantly with the amount of N supplied (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>). By the third harvest (H3, ~7 months after treatments began), the RGR was significantly higher in plants from the 5 mM and 10 mM N treatment groups (p &lt; 0.001) and lowest in plants grown at 2.5 mM and 20 mM N (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Mean dry biomass of taro plants (<italic>Colocasia esculenta</italic>) grown at five different concentrations of nitrogen and destructively harvested at intervals. <bold>(A)</bold> Total Biomass, <bold>(B)</bold> Mass of the corm on the main plant, <bold>(C)</bold> Mass of all suckers (side shoots) including cormels, <bold>(D)</bold> Shoot mass (leaf blade plus petiole biomass). Four harvests were conducted: Harvest 1 (35 DAP and before treatments began); Harvest 2 (124&#x2013;125 DAP); Harvest 3 (245&#x2013;265 DAP); and Harvest 4 (298&#x2013;305 DAP). Values are the mean of at least 6 replicates &#xb1; 1 SE. Additional data on plant growth can be found in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g003.tif">
<alt-text content-type="machine-generated">Bar graphs displaying plant biomass data across four harvests. (A) Total Biomass shows an increase with higher concentrations. (B) Main corm data follows a similar trend. (C) Suckers exhibit growth for mid-range concentrations. (D) Leaf blade and petiole increase with higher concentrations, with all graphs using varying shades to represent concentration levels from two point five to twenty millimolar.</alt-text>
</graphic></fig>
<p>At the first harvest, 1 month after planting and before treatments commenced, more than half of the plant biomass was in the developing corm (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1A</bold></xref>). Over the next two months the proportion of biomass in the corm of the main plant decreased, with plants in all treatment allocating greater biomass to the leaves and petioles (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1B</bold></xref>). As plants neared maturity, resource allocation reverted to corm biomass, with ~50% of biomass attributed to the corm by Harvests 3 and 4. Corm biomass of the main plant was highest in absolute terms and as a proportion of total biomass in 5 mM and 10 mM N-treated plants at all post-treatment harvests (p &lt; 0.05). Plants grown at 2.5 mM N were smaller and had the highest proportion of biomass allocated to the roots.</p>
<p>There were clear differences in the number and mass of the suckers, with significant differences across treatment and time of harvest (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). There were no suckers or cormels on young plants at the first harvest (35 DAP), reaching 2&#x2013;10 cormels per plant at Harvest 3 (~250 DAP), depending on N level. Cormel biomass similarly varied with treatment and time. At Harvest 3, when plants were at the typical age for harvesting, sucker biomass was significantly higher in the 5 mM and 10 mM N groups (42.06 &#xb1; 9.48 and 41.47 &#xb1; 6.42 g) compared to the 2.5 mM N group (12.18 &#xb1; 4.05 g).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Nutrient analysis</title>
<p>Elemental analysis was performed on the leaves and corms of the main plant from Harvest 3, when plants were at maturity (~250 DAP) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Nitrogen was the only element where highly significant differences between treatments were detected in both leaves and corms: foliar elemental nitrogen increased with increasing N supply from 3.89 &#xb1; 0.19% to 5.26 &#xb1; 0.14% (p &lt; 0.001) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>; <xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>). The increase in tissue nitrogen concentration with treatment was even more pronounced in the corms, increasing four-fold from 0.51 &#xb1; 0.03% to 2.06 &#xb1; 0.29% with increasing N supply (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3B</bold></xref>; p &lt; 0.001). Elemental ratios of physiological interest (N:P and C:N) reflected the differences in tissue nitrogen. The C:N ratio was significantly higher in leaves from the 2.5 mM N treatment group (p &lt; 0.001), while in corms C:N ratios were higher in both the 2.5 and 5 mM N treatment groups (p &lt; 0.0001). The N:P ratios in the leaves were not significantly different between treatments, but corm N:P was nearly four times greater in plants grown 20 mM N compared to those grown at 2.5 mM N (p &lt; 0.001).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3A</label>
<caption>
<p>Concentration of macro- (% dry weight, dw) and micronutrients (mg kg<sup>-1</sup> dw) in the expanded leaves of plants from five different nitrogen treatment groups (2.5, 5, 10, 15 and 20mM N).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Macronutrients</th>
<th valign="middle" colspan="5" align="center">N treatment</th>
<th valign="middle" rowspan="2" align="center">p value</th>
</tr>
<tr>
<th valign="middle" align="center">2.5 mM</th>
<th valign="middle" align="center">5 mM</th>
<th valign="middle" align="center">10 mM</th>
<th valign="middle" align="center">15 mM</th>
<th valign="middle" align="center">20 mM</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Macronutrients (% dw)</th>
</tr>
<tr>
<td valign="middle" align="left">Nitrogen</td>
<td valign="middle" align="center">3.89 &#xb1; 0.19<sup>A</sup></td>
<td valign="middle" align="center">4.71 &#xb1; 0.10<sup>AB</sup></td>
<td valign="middle" align="center">4.75 &#xb1; 0.20<sup>B</sup></td>
<td valign="middle" align="center">5.17 &#xb1; 0.11<sup>B</sup></td>
<td valign="middle" align="center">5.26 &#xb1; 0.14<sup>B</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Phosphorus</td>
<td valign="middle" align="center">0.35 &#xb1; 0.04</td>
<td valign="middle" align="center">0.37 &#xb1; 0.03</td>
<td valign="middle" align="center">0.30 &#xb1; 0.03</td>
<td valign="middle" align="center">0.39 &#xb1; 0.02</td>
<td valign="middle" align="center">0.38 &#xb1; 0.04</td>
<td valign="middle" align="center">0.301</td>
</tr>
<tr>
<td valign="middle" align="left">Potassium</td>
<td valign="middle" align="center">3.64 &#xb1; 0.39</td>
<td valign="middle" align="center">4.26 &#xb1; 0.21</td>
<td valign="middle" align="center">3.63&#xb1; 0.38</td>
<td valign="middle" align="center">4.06 &#xb1; 0.17</td>
<td valign="middle" align="center">4.05 &#xb1; 0.19</td>
<td valign="middle" align="center">0.472</td>
</tr>
<tr>
<td valign="middle" align="left">Sulphur</td>
<td valign="middle" align="center">0.31 &#xb1; 0.01<sup>A</sup></td>
<td valign="middle" align="center">0.35 &#xb1; 0.01<sup>AB</sup></td>
<td valign="middle" align="center">0.40 &#xb1; 0.03<sup>B</sup></td>
<td valign="middle" align="center">0.41 &#xb1; 0.01<sup>B</sup></td>
<td valign="middle" align="center">0.39 &#xb1; 0.01<sup>AB</sup></td>
<td valign="middle" align="center">0.025</td>
</tr>
<tr>
<td valign="middle" align="left">Carbon</td>
<td valign="middle" align="center">41.10 &#xb1; 0.44</td>
<td valign="middle" align="center">41.61 &#xb1; 0.46</td>
<td valign="middle" align="center">41.11 &#xb1; 0.24</td>
<td valign="middle" align="center">41.75 &#xb1; 0.48</td>
<td valign="middle" align="center">41.94&#xb1; 0.28</td>
<td valign="middle" align="center">0.395</td>
</tr>
<tr>
<td valign="middle" align="left">Calcium</td>
<td valign="middle" align="center">1.68 &#xb1; 0.03</td>
<td valign="middle" align="center">1.32 &#xb1; 0.12</td>
<td valign="middle" align="center">1.65 &#xb1; 0.13</td>
<td valign="middle" align="center">1.37 &#xb1; 0.08</td>
<td valign="middle" align="center">1.27 &#xb1; 0.13</td>
<td valign="middle" align="center">0.068</td>
</tr>
<tr>
<td valign="middle" align="left">Magnesium</td>
<td valign="middle" align="center">0.32 &#xb1; 0.02</td>
<td valign="middle" align="center">0.34 &#xb1; 0.01</td>
<td valign="middle" align="center">0.42 &#xb1; 0.03</td>
<td valign="middle" align="center">0.39 &#xb1; 0.02</td>
<td valign="middle" align="center">0.34 &#xb1; 0.02</td>
<td valign="middle" align="center">0.060</td>
</tr>
<tr>
<td valign="middle" align="left">Sodium</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">0.03 &#xb1; 0.01</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Micronutrients (mg kg<sup>-1</sup>)</th>
</tr>
<tr>
<td valign="middle" align="left">Copper</td>
<td valign="middle" align="center">5.94 &#xb1; 0.73</td>
<td valign="middle" align="center">5.26 &#xb1; 0.30</td>
<td valign="middle" align="center">5.66 &#xb1; 2.08</td>
<td valign="middle" align="center">5.89 &#xb1; 0.37</td>
<td valign="middle" align="center">5.35 &#xb1; 0.48</td>
<td valign="middle" align="center">0.999</td>
</tr>
<tr>
<td valign="middle" align="left">Zinc</td>
<td valign="middle" align="center">20.83&#xb1; 3.17</td>
<td valign="middle" align="center">31.05 &#xb1; 1.47</td>
<td valign="middle" align="center">24.39 &#xb1; 3.98</td>
<td valign="middle" align="center">29.16 &#xb1; 1.32</td>
<td valign="middle" align="center">34.73 &#xb1; 7.67</td>
<td valign="middle" align="center">0.492</td>
</tr>
<tr>
<td valign="middle" align="left">Manganese</td>
<td valign="middle" align="center">165.17 &#xb1; 4.85</td>
<td valign="middle" align="center">88.91 &#xb1; 18.87</td>
<td valign="middle" align="center">95.51 &#xb1; 14.87</td>
<td valign="middle" align="center">73.78 &#xb1; 9.60</td>
<td valign="middle" align="center">63.25 &#xb1; 6.69</td>
<td valign="middle" align="center">0.892</td>
</tr>
<tr>
<td valign="middle" align="left">Iron</td>
<td valign="middle" align="center">104.66 &#xb1; 12.19</td>
<td valign="middle" align="center">101.48 &#xb1; 1.90</td>
<td valign="middle" align="center">114.49 &#xb1; 17.20</td>
<td valign="middle" align="center">115.76 &#xb1; 3.33</td>
<td valign="middle" align="center">128.68 &#xb1; 12.51</td>
<td valign="middle" align="center">0.538</td>
</tr>
<tr>
<td valign="middle" align="left">Boron</td>
<td valign="middle" align="center">50.24 &#xb1; 9.84</td>
<td valign="middle" align="center">65.95 &#xb1; 9.26</td>
<td valign="middle" align="center">65.11 &#xb1; 12.33</td>
<td valign="middle" align="center">57.71 &#xb1; 2.48</td>
<td valign="middle" align="center">43.37 &#xb1; 4.05</td>
<td valign="middle" align="center">0.224</td>
</tr>
<tr>
<td valign="middle" align="left">Molybdenum</td>
<td valign="middle" align="center">2.60 &#xb1; 0.88</td>
<td valign="middle" align="center">1.51 &#xb1; 0.14</td>
<td valign="middle" align="center">2.24 &#xb1; 0.19</td>
<td valign="middle" align="center">1.54 &#xb1; 0.14</td>
<td valign="middle" align="center">1.970 &#xb1; 0.15</td>
<td valign="middle" align="center">0.225</td>
</tr>
<tr>
<td valign="middle" align="left">Cobalt</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">0.33</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="left">Silicon</td>
<td valign="middle" align="center">259.22 &#xb1; 9.02</td>
<td valign="middle" align="center">270.27 &#xb1; 3.67</td>
<td valign="middle" align="center">242.92 &#xb1; 23.30</td>
<td valign="middle" align="center">295.41&#xb1; 32.97</td>
<td valign="middle" align="center">323.42 &#xb1; 32.45</td>
<td valign="middle" align="center">0.263</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Elemental ratios</th>
</tr>
<tr>
<td valign="middle" align="left">C:N</td>
<td valign="middle" align="center">10.62 &#xb1; 0.66<sup>A</sup></td>
<td valign="middle" align="center">8.85 &#xb1; 0.24<sup>B</sup></td>
<td valign="middle" align="center">8.70 &#xb1; 0.34<sup>B</sup></td>
<td valign="middle" align="center">8.08 &#xb1; 0.18<sup>B</sup></td>
<td valign="middle" align="center">8.0 &#xb1; 0.24<sup>B</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">N:P</td>
<td valign="middle" align="center">11.23 &#xb1; 0.83</td>
<td valign="middle" align="center">12.98 &#xb1; 1.04</td>
<td valign="middle" align="center">16.78 &#xb1; 2.09</td>
<td valign="middle" align="center">13.28 &#xb1; 0.76</td>
<td valign="middle" align="center">14.06 &#xb1; 1.05</td>
<td valign="middle" align="center">0.117</td>
</tr>
<tr>
<td valign="middle" align="left">Crude protein (%)</td>
<td valign="middle" align="center">24.33 &#xb1; 1.19<sup>A</sup></td>
<td valign="middle" align="center">29.43 &#xb1; 0.63<sup>B</sup></td>
<td valign="middle" align="center">29.69 &#xb1; 1.23<sup>B</sup></td>
<td valign="middle" align="center">32.31 &#xb1; 0.69<sup>B</sup></td>
<td valign="middle" align="center">32.85 &#xb1; 0.87<sup>B</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Each mean is the average of four replicates &#xb1; 1 SE. Means in rows with the same letter superscript are not significantly different (p &gt; 0.05). N/A indicates where it was not possible to calculate probabilities as values were below the limit of detection.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;3B.</label>
<caption>
<p>Concentration of macro- (% dry weight) and micronutrients (mg kg<sup>-1</sup> dw) in the main corms of plants from five different nitrogen treatment groups (2.5, 5, 10, 15 and 20mM N).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Macronutrients</th>
<th valign="middle" colspan="5" align="center">N Treatment</th>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">2.5 mM</th>
<th valign="middle" align="center">5 mM</th>
<th valign="middle" align="center">10 mM</th>
<th valign="middle" align="center">15 mM</th>
<th valign="middle" align="center">20 mM</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Macronutrients (% dw)</th>
</tr>
<tr>
<td valign="middle" align="left">Nitrogen</td>
<td valign="middle" align="center">0.51 &#xb1; 0.03<sup>A</sup></td>
<td valign="middle" align="center">0.60 &#xb1; 0.05<sup>A</sup></td>
<td valign="middle" align="center">1.18 &#xb1; 0.09<sup>AB</sup></td>
<td valign="middle" align="center">1.91 &#xb1; 0.26<sup>B</sup></td>
<td valign="middle" align="center">2.06 &#xb1; 0.29<sup>B</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Phosphorus</td>
<td valign="middle" align="center">0.16 &#xb1; 0.02</td>
<td valign="middle" align="center">0.15 &#xb1; 0.01</td>
<td valign="middle" align="center">0.09 &#xb1; 0.01</td>
<td valign="middle" align="center">0.19 &#xb1; 0.04</td>
<td valign="middle" align="center">0.17 &#xb1; 0.04</td>
<td valign="middle" align="center">0.118</td>
</tr>
<tr>
<td valign="middle" align="left">Potassium</td>
<td valign="middle" align="center">1.25 &#xb1; 0.15</td>
<td valign="middle" align="center">1.31 &#xb1; 0.13</td>
<td valign="middle" align="center">1.30 &#xb1; 0.14</td>
<td valign="middle" align="center">1.48 &#xb1; 0.13</td>
<td valign="middle" align="center">1.15 &#xb1; 0.05</td>
<td valign="middle" align="center">0.471</td>
</tr>
<tr>
<td valign="middle" align="left">Sulphur</td>
<td valign="middle" align="center">0.09 &#xb1; 0.00<sup>A</sup></td>
<td valign="middle" align="center">0.09 &#xb1; 0.00<sup>A</sup></td>
<td valign="middle" align="center">0.14 &#xb1; 0.02<sup>AB</sup></td>
<td valign="middle" align="center">0.17 &#xb1; 0.03<sup>AB</sup></td>
<td valign="middle" align="center">0.19 &#xb1; 0.02<sup>B</sup></td>
<td valign="middle" align="center">0.012</td>
</tr>
<tr>
<td valign="middle" align="left">Carbon</td>
<td valign="middle" align="center">40.67 &#xb1; 0.31</td>
<td valign="middle" align="center">40.12 &#xb1; 0.08</td>
<td valign="middle" align="center">39.54 &#xb1; 2.02</td>
<td valign="middle" align="center">41.66 &#xb1; 0.24</td>
<td valign="middle" align="center">41.76 &#xb1; 0.39</td>
<td valign="middle" align="center">0.506</td>
</tr>
<tr>
<td valign="middle" align="left">Calcium</td>
<td valign="middle" align="center">0.18 &#xb1; 0.02<sup>A</sup></td>
<td valign="middle" align="center">0.17 &#xb1; 0.02<sup>AB</sup></td>
<td valign="middle" align="center">0.22 &#xb1; 0.02<sup>AB</sup></td>
<td valign="middle" align="center">0.27 &#xb1; 0.01<sup>AB</sup></td>
<td valign="middle" align="center">0.33 &#xb1; 0.07<sup>B</sup></td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">Magnesium</td>
<td valign="middle" align="center">0.12 &#xb1; 0.01</td>
<td valign="middle" align="center">0.12 &#xb1; 0.01</td>
<td valign="middle" align="center">0.21 &#xb1; 0.06</td>
<td valign="middle" align="center">0.16 &#xb1; 0.02</td>
<td valign="middle" align="center">0.17 &#xb1; 0.02</td>
<td valign="middle" align="center">0.414</td>
</tr>
<tr>
<td valign="middle" align="left">Sodium</td>
<td valign="middle" align="center">0.02 &#xb1; 0.00<sup>A</sup></td>
<td valign="middle" align="center">0.04 &#xb1; 0.01<sup>A</sup></td>
<td valign="middle" align="center">0.15 &#xb1; 0.08<sup>AB</sup></td>
<td valign="middle" align="center">0.17 &#xb1; 0.01<sup>AB</sup></td>
<td valign="middle" align="center">0.24 &#xb1; 0.04<sup>B</sup></td>
<td valign="middle" align="center">0.016</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Micronutrients (mg kg<sup>-1</sup>)</th>
</tr>
<tr>
<td valign="middle" align="left">Copper</td>
<td valign="middle" align="center">3.86 &#xb1; 0.40</td>
<td valign="middle" align="center">2.72 &#xb1; 0.34</td>
<td valign="middle" align="center">7.31 &#xb1; 4.59</td>
<td valign="middle" align="center">4.03 &#xb1; 1.13</td>
<td valign="middle" align="center">5.46 &#xb1; 1.75</td>
<td valign="middle" align="center">0.740</td>
</tr>
<tr>
<td valign="middle" align="left">Zinc</td>
<td valign="middle" align="center">26.74 &#xb1; 1.47</td>
<td valign="middle" align="center">21.75 &#xb1; 4.43</td>
<td valign="middle" align="center">18.33 &#xb1; 7.37</td>
<td valign="middle" align="center">11.94 &#xb1; 3.15</td>
<td valign="middle" align="center">15.04 &#xb1; 4.08</td>
<td valign="middle" align="center">0.306</td>
</tr>
<tr>
<td valign="middle" align="left">Manganese</td>
<td valign="middle" align="center">21.27 &#xb1; 2.52</td>
<td valign="middle" align="center">17.92 &#xb1; 4.33</td>
<td valign="middle" align="center">16.07 &#xb1; 2.88</td>
<td valign="middle" align="center">19.28 &#xb1; 1.56</td>
<td valign="middle" align="center">19.42 &#xb1; 4.12</td>
<td valign="middle" align="center">0.892</td>
</tr>
<tr>
<td valign="middle" align="left">Iron</td>
<td valign="middle" align="center">53.76 &#xb1; 2.09</td>
<td valign="middle" align="center">55.92 &#xb1; 2.98</td>
<td valign="middle" align="center">64.97 &#xb1; 4.51</td>
<td valign="middle" align="center">63.82 &#xb1; 5.61</td>
<td valign="middle" align="center">79.62 &#xb1; 18.24</td>
<td valign="middle" align="center">0.297</td>
</tr>
<tr>
<td valign="middle" align="left">Boron</td>
<td valign="middle" align="center">5.22</td>
<td valign="middle" align="center">5.65 &#xb1; 0.14</td>
<td valign="middle" align="center">14.99 &#xb1; 8.68</td>
<td valign="middle" align="center">7.27 &#xb1; 0.86</td>
<td valign="middle" align="center">8.61 &#xb1; 1.64</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="left">Molybdenum</td>
<td valign="middle" align="center">0.61 &#xb1; 0.08</td>
<td valign="middle" align="center">0.43 &#xb1; 0.10</td>
<td valign="middle" align="center">0.57 &#xb1; 0.19</td>
<td valign="middle" align="center">0.97 &#xb1; 0.28</td>
<td valign="middle" align="center">1.21 &#xb1; 0.44</td>
<td valign="middle" align="center">0.327</td>
</tr>
<tr>
<td valign="middle" align="left">Cobalt</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">0.28</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="middle" align="center">0.14 &#xb1; 0.02</td>
<td valign="middle" align="center">N/A</td>
</tr>
<tr>
<td valign="middle" align="left">Silicon</td>
<td valign="middle" align="center">143.57 &#xb1; 12.05</td>
<td valign="middle" align="center">152.31 &#xb1; 6.03</td>
<td valign="middle" align="center">164.06 &#xb1; 6.48</td>
<td valign="middle" align="center">168.40 &#xb1; 3.65</td>
<td valign="middle" align="center">135.18 &#xb1; 18.35</td>
<td valign="middle" align="center">0.145</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Elemental ratios</th>
</tr>
<tr>
<td valign="middle" align="left">C:N</td>
<td valign="middle" align="center">81.21 &#xb1; 4.27<sup>A</sup></td>
<td valign="middle" align="center">68.38 &#xb1; 5.12<sup>A</sup></td>
<td valign="middle" align="center">37.08 &#xb1; 4.32<sup>B</sup></td>
<td valign="middle" align="center">22.88 &#xb1; 2.45<sup>BC</sup></td>
<td valign="middle" align="center">21.60 &#xb1; 2.32<sup>C</sup></td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">N:P</td>
<td valign="middle" align="center">3.09 &#xb1; 0.18<sup>A</sup></td>
<td valign="middle" align="center">3.96 &#xb1; 0.26<sup>A</sup></td>
<td valign="middle" align="center">12.80 &#xb1; 8.54<sup>B</sup></td>
<td valign="middle" align="center">10.57 &#xb1; 0.56 <sup>AB</sup></td>
<td valign="middle" align="center">12.90 &#xb1; 1.38<sup>B</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Crude protein (%)</td>
<td valign="middle" align="center">3.16 &#xb1; 0.18<sup>A</sup></td>
<td valign="middle" align="center">3.73 &#xb1; 0.29<sup>AB</sup></td>
<td valign="middle" align="center">7.37 &#xb1; 1.54<sup>BC</sup></td>
<td valign="middle" align="center">11.91 &#xb1; 1.64<sup>CD</sup></td>
<td valign="middle" align="center">12.86 &#xb1; 1.84<sup>D</sup></td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Each mean is the average of four replicates &#xb1; 1 SE. Means in rows with the same letter superscript are not significantly different (p &gt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Calcium concentration plotted relative to total nitrogen for <bold>(A)</bold> Leaf and <bold>(B)</bold> Corm of taro plants (<italic>Colocasia esculenta</italic>) grown at five different concentrations of nitrogen (2.5, 5, 10, 15, 20 mM N). Values represent one plant and are expressed as % dry weight (dw). Data are for Harvest 3 (245&#x2013;265 DAP). Regression lines are significant (p &lt; 0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g004.tif">
<alt-text content-type="machine-generated">Scatter plots showing relationships between calcium and nitrogen percentages. Panel A: Leaf, with a negative correlation (R²=0.33, p&lt;0.01). Panel B: Corm, with a positive correlation (R²=0.68, p&lt;0.0001). Data points vary in color.</alt-text>
</graphic></fig>
<p>Corm calcium (Ca) concentration was significantly higher in 20mM N-treated plants compared to 2.5mM N-treated plants (p = 0.050). A highly significant correlation was present between leaf nitrogen and leaf calcium (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>; p &lt; 0.001). In contrast, corm N and Ca concentrations were negatively correlated (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). Additionally, Sulphur (S) concentration was highest in the leaves of plants grown in the middle treatments (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>; 5&#x2013;15 mM N; p = 0.025) and sodium (Na) concentration increased in corms with
increasing levels of N in the nutrient solution (<xref ref-type="table" rid="T4"><bold>Table&#xa0;3B</bold></xref>; p = 0.002). No treatment effect was detected in potassium (K) concentrations of leaves or corms.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Nitrogen use efficiency indices</title>
<p>There were significant N application rate effects on both NUE indicators; the applied fertilizer N recovery (AFNR) in corm biomass and the partial factor productivity of applied N (PFP<sub>N</sub>) (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5</bold></xref>, <xref ref-type="fig" rid="f6"><bold>6</bold></xref>; <xref ref-type="table" rid="T5"><bold>Table&#xa0;4</bold></xref>; p-values &lt; 0.001). On average, AFNR and PFP<sub>N</sub> were the highest when N was
applied at a rate of 4.2 g per pot (9.80%, w/w and 14.54 kg kg<sup>-1</sup>, respectively). NUE decreased when N was applied either above or below 4.2 g per pot. Across all N application rates, the AFNR and PFP<sub>N</sub> were 6% (w/w) and 7.56 kg kg<sup>-1</sup>, respectively (<xref ref-type="table" rid="T5"><bold>Table&#xa0;4</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Nitrogen use efficiency (NUE) expressed as the apparent fertilizer nitrogen (N) recovery (AFNR) in corm biomass (%, w/w) as a function of N applied (g N per plant or pot). The box spans the interquartile range of the values in the variate (Q3&#x2013;Q1). Whiskers extend to the most extreme data values within the inner &#x2018;fences&#x2019;, which are at 1.5 times the interquartile range beyond the quartiles (or the maximum value where that is smaller).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g005.tif">
<alt-text content-type="machine-generated">Box plot showing apparent fertilizer nitrogen recovery percentage against nitrogen applied in grams per plant. Five data points: 2.1, 4.2, 8.4, 12.6, and 16.8 grams, indicating decreasing nitrogen recovery with increased application.</alt-text>
</graphic></fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Nitrogen use efficiency expressed as the partial factor productivity of applied fertilizer N (PFP<sub>N</sub>, w/w) as a function of N applied (g N per plant or pot). The box spans the interquartile range of the values in the variate (Q3&#x2013;Q1), with the middle line indicating the median (Q2). Whiskers extend to the most extreme data values within the inner &#x2018;fences&#x2019;, which are at 1.5 times the interquartile range beyond the quartiles (or the maximum value if that is smaller). Individual outliers are identified with a white circle.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1731490-g006.tif">
<alt-text content-type="machine-generated">Box plot showing the partial factor productivity of applied nitrogen (w/w) against nitrogen applied in grams per plant. Productivity decreases as nitrogen application increases from 2.1 to 16.8 grams per plant, with values ranging from about 18 to 2.5. Outliers are present at lower nitrogen levels.</alt-text>
</graphic></fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The Apparent Fertilizer Nitrogen Rate (AFNR) and Partial Factor Productivity of applied N (PFP<sub>N</sub>) for taro main plants calculated using the biomass at Harvest 3 (245&#x2013;265 DAP), the total amount of nitrogen applied between Harvests 1 and Harvest 3, and (for AFNR) corm nitrogen concentration.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">N treatment</th>
<th valign="middle" align="center">AFNR %</th>
<th valign="middle" align="center">PFP<sub>N</sub> g g<sup>-1</sup> se</th>
<th valign="middle" align="center">N applied (g)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">2.5 mM</td>
<td valign="middle" align="center">7.36 &#xb1; 1.11</td>
<td valign="middle" align="center">13.59 &#xb1; 2.21</td>
<td valign="middle" align="center">2.1</td>
</tr>
<tr>
<td valign="middle" align="center">5 mM</td>
<td valign="middle" align="center">9.80 &#xb1; 0.80</td>
<td valign="middle" align="center">14.54 &#xb1; 1.76</td>
<td valign="middle" align="center">4.2</td>
</tr>
<tr>
<td valign="middle" align="center">10 mM</td>
<td valign="middle" align="center">5.91 &#xb1; 0.62</td>
<td valign="middle" align="center">6.23 &#xb1; 0.55</td>
<td valign="middle" align="center">8.4</td>
</tr>
<tr>
<td valign="middle" align="center">15 mM</td>
<td valign="middle" align="center">4.72 &#xb1; 0.97</td>
<td valign="middle" align="center">2.24 &#xb1; 0.22</td>
<td valign="middle" align="center">12.6</td>
</tr>
<tr>
<td valign="middle" align="center">20 mM</td>
<td valign="middle" align="center">2.23 &#xb1; 0.35</td>
<td valign="middle" align="center">1.18 &#xb1; 0.27</td>
<td valign="middle" align="center">16.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are means of all replicate plants &#xb1; 1 SE.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The key to future food security may lie in the untapped potential of widely grown but under-researched crops, such as taro (<xref ref-type="bibr" rid="B39">Matthews and Ghanem, 2021</xref>; <xref ref-type="bibr" rid="B2">Aditika et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Lebot and Ivan&#x10d;i&#x10d;, 2022</xref>). Fundamental to this is the development of crop recommendations to recover fertilizer in harvested plant material and maximize the economic return from applied nutrients. In doing so, the risk of nutrient losses to the environment due to poor use efficiency is minimized (<xref ref-type="bibr" rid="B4">Antille et&#xa0;al., 2023</xref>). Here, the response of taro to different applications of N fertilizer (ranging from 2.5mM to 20 mM N) was assessed under controlled environmental conditions to determine optimum levels for plant growth, biomass partitioning and indicators of nutritional composition. The work aids the development of management strategies aimed at optimizing yields, improving nitrogen use efficiency and generating baseline data for further nutrient experiments.</p>
<sec id="s4_1">
<label>4.1</label>
<title>N supply effects on growth are driven by leaf area rather than photosynthesis</title>
<p>Nitrogen is the most limiting nutrient in most non-fertilized systems (<xref ref-type="bibr" rid="B55">Zierer et&#xa0;al., 2020</xref>). We hypothesized that growth and photosynthetic rate would be highest in plants receiving nutrient solutions with the highest concentration of nitrogen (Hypothesis 1). This hypothesis was not supported, as total biomass and relative growth rates were optimal when plants were supplied with mid-levels of N (5&#x2013;15 mM N). Further increases in N supply did not translate into additional biomass (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>).</p>
<p>Growth rates appeared to be primarily driven by differences in the total area of expanded leaves rather than assimilation rates (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Rates of photosynthesis on a per area basis in leaves of the same age tended to increase with N concentration but the differences were not significant (<xref ref-type="table" rid="T1"><bold>Tables&#xa0;1</bold></xref>, <xref ref-type="table" rid="T2"><bold>2</bold></xref>). Leaf area was estimated using the leaf width and length of fully expanded leaves and, although this was not an absolute measure, the differences between groups were consistent with published work on taro (<xref ref-type="bibr" rid="B27">Jacobs and Clarke, 1993</xref>; <xref ref-type="bibr" rid="B54">Vos and van der Putten, 1998</xref>; <xref ref-type="bibr" rid="B41">Mergedus et&#xa0;al., 2015</xref>). While it is possible that photosynthetic rates may have differed in plants at other stages of development, the large treatment effects on total leaf area are likely to be the dominant influence. Profuse leaf area is common in taro plants grown at high nitrogen, whereas lower levels of nitrogen are optimal for maximal corm growth (<xref ref-type="bibr" rid="B23">Hartemink et&#xa0;al., 2000</xref>). Here, the highest area of expanded leaves in plants was from the 15 mM N treatment at Harvest 2, during the early stages of corm filling, supporting the observations of <xref ref-type="bibr" rid="B27">Jacobs and Clarke (1993)</xref> that higher nitrogen availability benefits leaf size in the early stage of growth. At the final harvest (H4), expanded leaf area was highest in 2.5 mM N-treated plants, greater than that of 5&#x2013;15 mM N-treated plants, which were entering or past maturity (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>). The limited availability of nitrogen in the 2.5mM N treatment group likely resulted in developmental delays that favored allocation of resources to vegetative growth (<xref ref-type="bibr" rid="B9">Craswell et&#xa0;al., 1996</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Early biomass partitioning patterns are treatment-dependent and linked to N ratios</title>
<p>Differences in biomass partitioning between roots, shoots, corms and the growth of suckers were established early in development (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>). Plants from the 2.5 mM and 5mM N treatment groups showed the greatest allocation of resources to the roots. This is not surprising since plants that are nitrogen deficient often priorities root growth in an attempt to improve nutrient uptake (<xref ref-type="bibr" rid="B24">Hermans et&#xa0;al., 2006</xref>). Taro root systems develop substantially in the early stage of plant growth in order to facilitate the uptake of essential nutrients (<xref ref-type="bibr" rid="B20">Goenaga, 1995</xref>; <xref ref-type="bibr" rid="B32">Lebot, 2009</xref>). There were no suckers or cormels on young plants at the first harvest (35 DAP), while plants at Harvest 3 (~250 DAP) had 2&#x2013;10 cormels. Plants grown at 2.5 mM N had the fewest suckers, consistent with Hypothesis 3, likely due to low assimilate supply and nitrogen deficiency (<xref ref-type="table" rid="T1"><bold>Tables&#xa0;1</bold></xref>, <xref ref-type="table" rid="T3"><bold>3</bold></xref>).</p>
<p>As hypothesized (Hypothesis 2), corm biomass (absolute and proportional) was highest at mid-level N (5&#x2013;15 mM), with some maturity-dependent variation (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>). In the field, corm formation peaks at 6-8 months after planting and then decreases (<xref ref-type="bibr" rid="B45">Onwueme, 1999</xref>; <xref ref-type="bibr" rid="B32">Lebot, 2009</xref>), with harvests coinciding with maximum corm mass. Corms of plants grown at 2.5 mM N developed slowly, with very little increase in the early corm development phase. The lower concentrations of tissue N and high C:N ratios in these plants (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>) are indicative of a N deficiency, leading to delayed development (<xref ref-type="bibr" rid="B47">Reuter and Robinson, 1997</xref>; <xref ref-type="bibr" rid="B55">Zierer et&#xa0;al., 2020</xref>). Corm growth was also inhibited in plants grown at the highest level of N (20 mM N). In potato, tuber development is suppressed at high N supply (<xref ref-type="bibr" rid="B23">Hartemink et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B55">Zierer et&#xa0;al., 2020</xref>). The mechanism for this is thought to be linked to the inhibition of gibberellic acid (GA) production when tissue N is high relative to C, which prevents tuber induction, initiation and growth (<xref ref-type="bibr" rid="B1">Abelenda et&#xa0;al., 2011</xref>). Plants grown at 20 mM N had very low C:N ratios in leaves and corms (i.e., relatively high N, <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), which may account for the low corm biomass, however, shoot growth was also stunted. In Samoa, an imbalance between N and P has also been reported to affect taro growth (<xref ref-type="bibr" rid="B4">Antille et&#xa0;al., 2023</xref>). Here, higher N:P ratios were detected in the corms 20 mM N-treated plants, suggesting that N was vastly in excess of P during the corm filling period and may have adversely affected growth. However, the small, non-significant difference in N relative to P with increasing N supply in the leaves (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>) was unlikely to have affected assimilation or growth overall (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>).</p>
<p>Another explanation for the reduced growth of corms in plants grown at 20 mM N could be the sensitivity of taro to ammonia (NH<sub>4</sub><sup>+</sup>). However, the fixed proportion of the nitrogen supplied as NH<sub>4</sub><sup>+</sup> in our nutrient solution here was only 16%, and <xref ref-type="bibr" rid="B46">Osorio et&#xa0;al. (2003)</xref> found no detrimental effect on growth or yield with NH<sub>4</sub><sup>+</sup> as high as 50%. High NH<sub>4</sub><sup>+</sup> concentrations also reduce pH, which has the potential to affect the uptake of nutrients necessary for root growth and development, such as P (pH 5.5-6.5) and N (pH 6.0-8.0) (<xref ref-type="bibr" rid="B12">Deenik et&#xa0;al., 2013</xref>). The optimum soil pH for taro is between 6.0 and 7.0 (<xref ref-type="bibr" rid="B12">Deenik et&#xa0;al., 2013</xref>). Lower soil pH may restrict the healthy growth and development of taro root systems and consequently limit biomass production. In this study, soil pH was approximately one point lower, ranging from 6.1 in soil sampled from pots in the lowest 2.5 mM N treatment group down to 5.2 in soil sampled from pots in the 20 mM N treatment group (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). As such, lower soil pH may have limited root growth and development in 20 mM N-treated plants.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Nutrient composition varied with plant size, nutrient status and minor allocation trade-offs</title>
<p>Macro- and micronutrient concentrations were largely typical of the expected range for taro and storage organ crops, with higher concentrations in the leaves than in the corms (<xref ref-type="bibr" rid="B9">Craswell et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B47">Reuter and Robinson, 1997</xref>; <xref ref-type="bibr" rid="B46">Osorio et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B41">Mergedus et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B35">Lloyd et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Aditika et&#xa0;al., 2022</xref>). All indicators were consistent with those of well-fertilized plants with no signs of deficiencies (<xref ref-type="bibr" rid="B47">Reuter and Robinson, 1997</xref>), except for signs of nitrogen limitation in the 2.5 mM N-treated plants (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>).</p>
<p>Taro contains raphides of calcium oxalate (CaOx), which must be removed by washing before consumption (<xref ref-type="bibr" rid="B31">Kristl et&#xa0;al., 2021</xref>). Hypothesis 4 proposed that calcium oxalate per mass would be higher when growth was limited by N, consistent with plant defense-growth theories (<xref ref-type="bibr" rid="B25">Herms and Mattson, 1992</xref>). <xref ref-type="bibr" rid="B35">Lloyd et&#xa0;al. (2021)</xref> found higher concentrations of both Ca and Oxalate in plants whose growth was stunted at high salinity. Here, Ca decreased from 1.68% to 1.27% with increasing N in leaves (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3A</bold></xref>; p = 0.068), consistent with our hypothesis and similar to the results reported by <xref ref-type="bibr" rid="B49">Sunell and Healey (1985)</xref>. However, unlike <xref ref-type="bibr" rid="B49">Sunell and Healey (1985)</xref> and contrary to our hypothesis, corm Ca increased significantly (from 0.18 to 0.33%) with increasing N (<xref ref-type="table" rid="T4"><bold>Table&#xa0;3B</bold></xref>; p = 0.05). It could be that rather than allocation of resources to CaOx (i.e. defense) reducing with increased resource supply, as proposed by <xref ref-type="bibr" rid="B25">Herms and Mattson (1992)</xref>, plants instead diverted excess resources to Ca and oxalate during the latter stages of corm filling. <xref ref-type="bibr" rid="B8">Bradbury and Holloway (1988)</xref> and <xref ref-type="bibr" rid="B32">Lebot (2009)</xref> report much higher concentrations of calcium in the corms than observed here, ranging from 0.5 to 4%. Both measurements were made on field grown taro and it is possible that more variable conditions could drive the allocation of resources to defense. In several other species unrelated to taro, CaOx is stored and remobilized as an internal source of carbon under various environmental conditions (<xref ref-type="bibr" rid="B52">Tooulakou et&#xa0;al., 2016</xref>). It is possible that taro similarly stores CaOx in reserve when the requirements for growth are met at higher levels of N supply. It is worth noting that high NH<sub>4</sub><sup>+</sup> can result in reduced uptake or translocation of cations, especially Ca<sup>2+</sup>, Mg<sup>2+</sup>, Mn<sup>2+</sup> (<xref ref-type="bibr" rid="B46">Osorio et&#xa0;al., 2003</xref>). Given the relatively high levels of NH<sub>4</sub><sup>+</sup> in the 15 and 20 mM N nutrient solutions used here, any direct effect on CaOx may have been masked. While not definitive, the results presented here indicate that breeding for low CaOx is likely preferrable to attempting to manipulate raphide production via nutrient supply (<xref ref-type="bibr" rid="B33">Lebot and Ivan&#x10d;i&#x10d;, 2022</xref>).</p>
<p>Many edible aroids are known to be cyanogenic (<xref ref-type="bibr" rid="B18">Gleadow and M&#xf8;ller, 2014</xref>). <xref ref-type="bibr" rid="B7">Bradbury et&#xa0;al. (1995)</xref> recorded low levels of the cyanogenic glucoside triglochinin in taro and several other yams. However, no hydrogen cyanide was detected in the leaves or corms of the taro plants in this study, consistent with <xref ref-type="bibr" rid="B35">Lloyd et&#xa0;al. (2021)</xref>.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Nitrogen use efficiency and implications for agricultural systems</title>
<p>Nitrogen use efficiency calculations showed relatively low N recoveries in corm biomass (&lt; 10% w/w) and low conversion efficiency of N applied as fertilizer (&lt; 15 kg corm biomass per kg N). These results are in close agreement with data from previous studies [e.g (<xref ref-type="bibr" rid="B21">Goenaga and Chardon, 1995</xref>; <xref ref-type="bibr" rid="B14">Fa&#x2019;amatuainu et&#xa0;al., 2016</xref>)] and together suggest that taro is physiologically sensitive to N fertilization. Either sub- or supra-optimal N rates can negatively affect corm yield and encourage vegetative growth (<xref ref-type="bibr" rid="B46">Osorio et&#xa0;al., 2003</xref>). Future research on taro should consider the timing of N application and split applications based on NUE, particularly during the first three to four months following crop establishment, given the sensitivity of the crop to N during this phase of development (<xref ref-type="bibr" rid="B27">Jacobs and Clarke, 1993</xref>; <xref ref-type="bibr" rid="B20">Goenaga, 1995</xref>; <xref ref-type="bibr" rid="B6">Beletse et&#xa0;al., 2025</xref>). Our research also indicates that increasing N supply has the potential to change the partitioning of dry matter and N content between parts of the plant in favor of above-ground components or cormels. Limiting N supply during corm initiation while maintaining an adequate and balanced supply of P and K, and then moderately increasing supply during corm filling could be an effective and economic way to limit the allocation of biomass to cormels and shoots while promoting the growth of a single corm.</p>
<p>Nitrogen is often the most limiting mineral nutrient for taro growth in farmer managed systems. Therefore, it is vital that any adaptations to crop management consider the potential effects of nitrogen on taro development. Management strategies for improving corm yield should consider the equivalent of 10 mM N in order to maximize total biomass production without compromising nutritional quality. However, such response to nitrogen is contingent on adequate supplies of both phosphorus and potassium. In this study, partitioning of biomass to the corms was reduced at high N levels (20 mM N) and plant growth was restricted, possibly due to nutrient imbalances. The timing of N application to taro crops may also be important. Here, lower rates of fertilizers during corm formation favored root development and limited the number of suckers. Higher rates were more beneficial during corm filling, but not beyond, when allocation reverted to the leaves. The dataset generated by this study will support the development of the taro module within the APSIM modelling framework, such as the one presented in <xref ref-type="bibr" rid="B6">Beletse et&#xa0;al. (2025)</xref>, to improve management strategies that will optimize yields and promote adaptation of taro cropping systems to climate change. Further studies of the physiological responses of under studied crops, such as taro, to different environmental conditions are urgently needed to help improve, achieve and maintain food security. This is an important consideration for Pacific Island countries where food shortages are common as a result of recurrent climate-related disasters.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The results of this study indicate that nitrogen availability is a key determinant of biomass production, partitioning and nutritional composition in taro. Relative growth rate and main corm biomass were highest in plants supplied with 5 and 10 mM N, with some variation from harvest to harvest. Biomass accumulation and the number of cormels were limited by very low nitrogen (2.5 mM N). Growth was also suppressed when nitrogen supply was high (20 mM N), possibly due to nutrient imbalances. Given the high cost of fertilizers, we conclude that applying modest amounts of nitrogenous fertilizer (i.e. 10 mM N nutrient solution, or approximately 8&#x2013;9 g per plant), is sufficient to promote the growth of the main corm. This work aids the development of management strategies for taro aimed at optimizing yields, improving nitrogen use efficiency and generating baseline data for further nutrient experiments.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in this study can be found online at <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.26180/30423973">https://doi.org/10.26180/30423973</ext-link> (<xref ref-type="bibr" rid="B19">Gleadow et al., 2025</xref>).</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LS: Conceptualization, Data curation, Formal analysis, Investigation, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DA: Formal analysis, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RG: Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Dr Poasa Nauluvula (The University of the South Pacific and the South Pacific Community) for helpful discussions regarding taro cultivation, Dr Steven Crimp (CSIRO, ANU) for overall leadership of the ACIAR project, and Max Cowan, Emily Clow, and Jacinta Dela Cruz (Monash Plant Ecophysiology Group) for assistance with plant maintenance and harvesting. Google Gemini 3 was used to generate the taro developmental stage cartoons in <xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1731490/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1731490/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/378645">Anoop Kumar Srivastava</ext-link>, Central Citrus Research Institute (ICAR), India</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1861496">Heiplanmi Rymbai</ext-link>, ICAR Research Complex for NEH Region, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2712430">Thirugnanavel Anbazhagan</ext-link>, Central Citrus Research Institute (ICAR), India</p></fn>
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