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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
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<issn pub-type="epub">2571-581X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2026.1769950</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>Preserving agrobiodiversity: socio-cultural and economic drivers of landrace conservation in Odisha, India</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yadav</surname>
<given-names>Preeti</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Padaria</surname>
<given-names>R. N.</given-names>
</name>
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<surname>Sarkar</surname>
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<given-names>Soora Naresh</given-names>
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<surname>Shravani</surname>
<given-names>Kotha</given-names>
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<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
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<surname>Roy</surname>
<given-names>Surjya Kanta</given-names>
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<surname>Gorai</surname>
<given-names>Sudip</given-names>
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<surname>Pundir</surname>
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<surname>Singh</surname>
<given-names>Raghwendra</given-names>
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<surname>Singh</surname>
<given-names>Ajay Kumar</given-names>
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<surname>Yadav</surname>
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<aff id="aff1"><label>1</label><institution>ICAR- Agricultural Technology Application Research Institute, Zone III</institution>, <city>Kanpur</city>, <country country="in">India</country></aff>
<aff id="aff2"><label>2</label><institution>Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute</institution>, <city>New Delhi</city>, <country country="in">India</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Agricultural Research and Education (DARE), ADG (Agricultural Extension), Indian Council of Agricultural Research (ICAR)</institution>, <city>New Delhi</city>, <country country="in">India</country></aff>
<aff id="aff4"><label>4</label><institution>Division of Sample Surveys, ICAR-Indian Agricultural Statistics Research Institute</institution>, <city>New Delhi</city>, <country country="in">India</country></aff>
<aff id="aff5"><label>5</label><institution>Division of Genetics, ICAR-Indian Agricultural Research Institute</institution>, <city>New Delhi</city>, <country country="in">India</country></aff>
<aff id="aff6"><label>6</label><institution>Division of Environment Science, ICAR-Indian Agricultural Research Institute</institution>, <city>New Delhi</city>, <country country="in">India</country></aff>
<aff id="aff7"><label>7</label><institution>ICAR-Krishi Vigyan Kendra</institution>, <city>East Sikkim</city>, <country country="in">India</country></aff>
<aff id="aff8"><label>8</label><institution>ICAR- Agricultural Technology Application Research Institute, Zone V</institution>, <city>Kolkata</city>, <country country="in">India</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Preeti Yadav, <email xlink:href="mailto:yadavpreeti1704@gmail.com">yadavpreeti1704@gmail.com</email>; R. N. Padaria, <email xlink:href="mailto:rabindrapadaraia@gmail.com">rabindrapadaraia@gmail.com</email>,;<email>rabi64@gmail.com</email>; Kotha Shravani, <email xlink:href="mailto:Kothashravanireddy@gmail.com">Kothashravanireddy@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-19">
<day>19</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>10</volume>
<elocation-id>1769950</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Yadav, Padaria, Burman, Sarkar, Biswas, Yadav, Kumar, Shravani, Roy, Gorai, Pundir, Singh, Singh and Yadav.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yadav, Padaria, Burman, Sarkar, Biswas, Yadav, Kumar, Shravani, Roy, Gorai, Pundir, Singh, Singh and Yadav</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-19">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>Paddy landraces play a vital role in sustaining agrobiodiversity, climate resilience, and the socio-cultural heritage of farming communities. Odisha is recognized as one of India&#x2019;s richest regions for traditional rice diversity, with the highest registration of landraces and farmer varieties. Understanding their conservation status and socio-economic importance is essential for designing strategies that strengthen both livelihoods and biodiversity conservation.</p>
</sec>
<sec>
<title>Methods</title>
<p>The study was conducted in Odisha state of India. Odisha ranks first in maximum registration of landraces and farmer varieties. Two regions, western and eastern, were selected, with five villages randomly chosen from each region. For focus group discussions and four-square analysis, 15 custodian farmers were selected from each village, totalling 150 in Odisha. The study evaluates the conservation status and socio-economic significance of paddy landraces across Western and Eastern Odisha using a multi-criteria sampling approach. Four-Square Analysis, Focus Group Discussions, and a Value-Added Quantitative Score (AddValQS) were employed to assess biodiversity patterns and economic significance.</p>
</sec>
<sec>
<title>Results</title>
<p>The research identifies distinct regional biodiversity patterns: Western Odisha maintains a diverse array of specialized varieties (e.g., Kalabati, Kusumkali) valued for medicinal and physiological traits, while Eastern Odisha shows stronger market integration with high-demand varieties like Kalajeera and Haldichudi. Findings reveal that nearly half of the custodian farmers in both regions achieve high economic significance, though Eastern Odisha exhibits a more robust medium-to-high economic profile (94.67%) compared to the West. Multivariate analysis highlights that cultural significance and ease of harvesting are universal drivers for conservation, while Eastern Odisha farmers leverage GI recognition and retail market sales more effectively.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Conversely, many Western Odisha landraces remain &#x201C;rare&#x201D; or &#x201C;isolated,&#x201D; primarily conserved for home consumption and specific ritualistic uses, signalling a need for targeted policy interventions to prevent the risk of farm loss in these niches. Strengthening market linkages, value addition, and institutional support could enhance both conservation outcomes and farmers&#x2019; livelihoods while safeguarding traditional rice biodiversity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>conservation</kwd>
<kwd>criteria</kwd>
<kwd>economic</kwd>
<kwd>landraces</kwd>
<kwd>matrix ranking</kwd>
<kwd>multivariate analysis</kwd>
<kwd>Odisha</kwd>
<kwd>socio-cultural</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="12"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="18"/>
<word-count count="11930"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Land, Livelihoods and Food Security</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>The Indian subcontinent is globally recognized for its rich biological and agro-ecological diversity, harboring approximately 49,000 plant species, including around 17,500 higher plant species (<xref ref-type="bibr" rid="ref31">Nayar et al., 2009</xref>). However, agricultural intensification, especially following the Green Revolution, has significantly altered the genetic composition of cropping systems. The widespread shift from traditional landraces to modern high-yielding varieties (HYVs) has led to extensive farm loss, with more than 90% of crop varieties disappearing over the last century (<xref ref-type="bibr" rid="ref12">FAO, 2019</xref>). Presently, just nine plant species account for 66% of global crop production, threatening global food and nutritional security by narrowing the genetic base (<xref ref-type="bibr" rid="ref21">Khoury et al., 2014</xref>; <xref ref-type="bibr" rid="ref12">FAO, 2019</xref>). Crop genetic resources (CGRs), encompassing modern cultivars, landraces, wild relatives, and farmer-bred varieties, represent a vital reservoir of traits critical for crop improvement and agricultural resilience (<xref ref-type="bibr" rid="ref39">Smale et al., 1999</xref>; <xref ref-type="bibr" rid="ref38">Singh et al., 2020</xref>). Among them, landraces hold a unique position due to their dynamic evolution, local adaptation, and historical co-development with farmers&#x2019; cultural practices (<xref ref-type="bibr" rid="ref45">Zeven, 1998</xref>; <xref ref-type="bibr" rid="ref43">Villa et al., 2005</xref>). These varieties embody not only agronomic value but also culinary, medicinal, spiritual, and socio-cultural significance, particularly in traditional and indigenous farming systems (<xref ref-type="bibr" rid="ref20">Jarvis et al., 2011</xref>; <xref ref-type="bibr" rid="ref19">Jackson et al., 2010</xref>). Farmers, especially those operating in smallholder and marginal systems, play a central role in the cultivation, selection, and conservation of landraces through informal seed systems, seed exchange networks, and community-level knowledge transfer (<xref ref-type="bibr" rid="ref4">Bellon et al., 1997</xref>; <xref ref-type="bibr" rid="ref6">Brush, 2008</xref>). This on-farm management ensures continued adaptation of landraces to changing ecological conditions, often outperforming improved varieties under low-input or stress-prone environments (<xref ref-type="bibr" rid="ref10">Dwivedi et al., 2016</xref>; <xref ref-type="bibr" rid="ref24">Korpetis et al., 2023</xref>). Despite this, the persistence of landrace diversity is under increasing threat from land-use change, urbanization, promotion of genetically uniform cultivars, climate change, shifts in food preferences, inadequate policy support, and underinvestment in research and development (<xref ref-type="bibr" rid="ref5">Bisht et al., 2007</xref>; <xref ref-type="bibr" rid="ref13">Furman et al., 2021</xref>; <xref ref-type="bibr" rid="ref1">Adhikari et al., 2022</xref>). Genetic erosion not only diminishes the resilience of food systems but also results in the erosion of local cultural identities and knowledge systems intimately linked to these varieties (<xref ref-type="bibr" rid="ref32">Nazarea, 2005</xref>). Consequently, landraces risk extinction if not actively conserved either ex-situ in gene banks or in-situ by farming communities. Ex-situ conservation strategies, such as gene banks and seed repositories, offer long-term preservation but often lack the dynamic evolutionary context in which landraces develop (<xref ref-type="bibr" rid="ref27">Maxted et al., 2002</xref>; <xref ref-type="bibr" rid="ref11">Engels and Ebert, 2021</xref>). In contrast, on-farm conservation promotes continued evolution, allowing landraces to adapt to local climatic, soil, and biotic conditions through farmers&#x2019; recurrent selection practices such as mass selection, bulk harvesting, and hybridization (<xref ref-type="bibr" rid="ref9008">Cleveland et al., 2000</xref>; <xref ref-type="bibr" rid="ref3">Bellon et al., 2015</xref>). Agrobiodiversity, particularly in the form of landraces, represents a vital resource for ensuring sustainable food systems, climate resilience, and local food sovereignty (<xref ref-type="bibr" rid="ref9007">Altieri et al., 2012</xref>). Landraces are genetically diverse, locally adapted varieties shaped by farmers over generations and serve as critical components of both biological and cultural heritage (<xref ref-type="bibr" rid="ref43">Villa et al., 2005</xref>). The erosion of crop genetic diversity has become a global concern due to over-reliance on a narrow genetic base of high-yielding varieties (<xref ref-type="bibr" rid="ref12">FAO, 2019</xref>). Studies by <xref ref-type="bibr" rid="ref3">Bellon et al. (2015)</xref> emphasized that on-farm conservation of landraces supports evolutionary processes and provides a renewable resource for future crop improvement. Sustainable food systems depend on this agrobiodiversity to buffer against pests, diseases, and climate shocks. Moreover, <xref ref-type="bibr" rid="ref46">Zimmerer et al. (2019)</xref> stressed that landraces maintained under traditional farming systems often require fewer external inputs and align closely with agro-ecological principles, making them crucial for low-input, ecologically sustainable agriculture. The cultural embeddedness of landraces is one of the strongest drivers of their conservation. <xref ref-type="bibr" rid="ref30">Nabhan (2009)</xref> describes how food culture, rituals, and spiritual practices can sustain the cultivation of traditional varieties. In Odisha, landraces like <italic>Kalajeera</italic>, <italic>Khandagiri</italic>, and <italic>Bali</italic> paddy are preserved partly due to their ceremonial and culinary roles (<xref ref-type="bibr" rid="ref28">Mishra, 2009</xref>). Ethnobotanical research by <xref ref-type="bibr" rid="ref22">King et al. (2015)</xref> found that women, elders, and tribal communities are often the custodians of such genetic resources, making their knowledge and participation central to conservation policies. Odisha&#x2019;s tribal regions show a deep-rooted association between identity and landrace cultivation (<xref ref-type="bibr" rid="ref44">Yadav et al., 2024</xref>). Economic viability is another crucial factor. Studies by <xref ref-type="bibr" rid="ref6">Brush (2008)</xref> and <xref ref-type="bibr" rid="ref14">Gauchan et al. (2005)</xref> suggested that when landraces provide economic returns through niche markets, processing, or seed exchange, they are more likely to be conserved. In Odisha, Recent initiatives like Geographical Indication (GI) tagging of <italic>Kalajeera</italic> rice (<xref ref-type="bibr" rid="ref16">Geographical Indications Registry, 2023</xref>) and promotion of millets through the Odisha Millet Mission have reinvigorated interest in traditional crops by linking them to economic incentives and government procurement systems (<xref ref-type="bibr" rid="ref9009">Government of Odisha, 2020</xref>). Despite their importance, landraces face multiple threats, including market-driven varietal replacement, loss of traditional knowledge, and policy neglect (<xref ref-type="bibr" rid="ref3">Bellon et al., 2015</xref>; <xref ref-type="bibr" rid="ref6">Brush et al., 2008</xref>). Odisha is not immune; HYVs introduced through subsidy schemes often displace landraces even in tribal belts. Fragmentation of landholdings, shifting diets, and youth migration further exacerbate the loss. <xref ref-type="bibr" rid="ref20">Jarvis et al. (2011)</xref> highlight that linking on-farm conservation with ex-situ support systems strengthens farmer and food-system resilience. Landraces form the genetic backbone of sustainable, equitable, and nutrition-sensitive food systems. Their contribution to dietary diversity, climate adaptation, and agro-ecological farming has been well recognized in frameworks like the UN Decade on Biodiversity and FAO&#x2019;s agrobiodiversity strategy (<xref ref-type="bibr" rid="ref42">United Nations, 1992</xref>; <xref ref-type="bibr" rid="ref26">Mansur, 2021</xref>). In Odisha, millet-based farming systems, rich in landraces, have been recognized for their low carbon footprint, drought resilience, and contribution to local nutrition security (<xref ref-type="bibr" rid="ref2">Behera and Penthoi, 2017</xref>). These traditional systems exemplify how conserving agrobiodiversity can support both environmental and human well-being. Understanding the motivations, practices, and socio-ecological contexts under which farmers continue to cultivate and conserve landraces is therefore essential. Such knowledge can inform more effective and culturally sensitive conservation strategies (<xref ref-type="bibr" rid="ref18">Guillem et al., 2015</xref>; <xref ref-type="bibr" rid="ref41">Thomas et al., 2011</xref>). However, despite growing recognition of farmer-led conservation, there remains a critical research gap in the systematic integration of agronomic performance, socio-cultural significance, and economic valuation of landraces within a single analytical framework. Existing studies often address these dimensions in isolation, with limited empirical evidence on how farmers&#x2019; prioritization criteria and livelihood considerations jointly influence the sustained cultivation of landraces. This study conceptualizes landraces as dynamic and evolving entities that function as reservoirs of agrobiodiversity and carriers of socio-cultural identity within farming communities. Accordingly, the research was designed to (i) systematically examine the management and utilization of paddy landraces under farmer-led systems, (ii) identify the key agronomic, socio-cultural, and economic drivers and constraints influencing their continued cultivation and conservation.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study area</title>
<p>The participatory study was conducted in the western and eastern parts of Odisha. Odisha has long been a pioneer in promoting agro-biodiversity. The state is among the leading conservators of rice germplasm in India. The state has registered over 900 farmers&#x2019; varieties with the Protection of Plant Varieties and Farmers&#x2019; Rights Authority. Landraces from more than 500 remote villages have been mapped and documented under flagship programmes such as <italic>Shree Anna Abhiyan</italic> and the Special Programme for the Promotion of Integrated Farming in Tribal Areas (<xref ref-type="bibr" rid="ref8">Department of Agriculture and Farmers&#x2019; Empowerment, Odisha Millet Mission, 2020</xref>). Odisha is home to 64 tribal communities and 13 Particularly Vulnerable Tribal Groups (PVTGs), constituting 23% of the state&#x2019;s population (<xref ref-type="bibr" rid="ref35">Ota et al., 2020</xref>). These communities traditionally practice mixed farming systems, cultivating native varieties of millets, pulses, rice, oilseeds, tubers, and vegetables (see <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study area showing sampling locations in Western and Eastern Odisha, India.</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Composite map showing India&#x2019;s states in different colors on the left, with Odisha highlighted. On the right, a detailed map of Odisha&#x2019;s districts is shown with red arrows indicating study sites: Sundargarh, Jharsuguda, Bargarh, and Koraput, including their coordinates. Two north compass roses are present; the maps are labeled as not to scale.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Sampling plan for focus group discussion and four-square analysis in Odisha</title>
<p>For the purpose of this study, custodian farmers are defined as farmers who actively conserve, cultivate, and maintain indigenous crop landraces over multiple seasons, primarily through on-farm conservation. These farmers save their own seed, participate in seed exchange or community seed bank activities, and possess experiential knowledge related to the agronomic, cultural, and ecological significance of landraces. In contrast, non-custodian farmers are those who do not cultivate or conserve indigenous landraces and predominantly rely on modern or commercially available varieties.</p>
<p>Tribal community farmers were not explicitly stratified or separately identified during sampling; however, the study was conducted in regions with a high prevalence of tribal and traditional farming communities, particularly in eastern Odisha (Jeypore tract, Koraput district), a well-recognised agrobiodiversity hotspot. The selected villages were <italic>Umuri, Nauguada, Machhara, Sanuguadi, and Patraput</italic>, which are predominantly inhabited by tribal communities such as the Kondh, Paraja, and Gadaba, who traditionally practice landrace-based cultivation and on-farm seed conservation. In western Odisha, the study covered the districts of Jharsuguda, Sundargarh, and Bargarh. Although parts of these districts are experiencing increasing urbanisation and agricultural intensification, pockets of traditional farming communities, but not tribal farmers, continue to conserve indigenous crop landraces. In particular, Bargarh district has emerged as an important centre for landrace conservation, where several custodian farmers have adopted conservation-oriented practices inspired by local innovators. According to local seed bank <italic>Desi Bihan Surakhya Samiti</italic>, farmers in the district have collectively documented and conserved 925 local paddy germplasm accessions since 2014. Furthermore, of the 30 black rice landraces reported in India, six varieties are conserved within the indigenous seed germplasm of Bargarh district, underscoring the region&#x2019;s continued relevance in agrobiodiversity conservation.</p>
<sec id="sec5">
<label>2.2.1</label>
<title>Selection of villages</title>
<sec id="sec6">
<label>2.2.1.1</label>
<title>Western Odisha</title>
<p>In western Odisha, a total of five villages were selected as study sites: Kattipali village in Bargarh district; Pandemal and Kaintara villages in Sundargarh district; and Katikhela and Baghdihi villages in Jharsuguda district. The selection of these villages was based on a sampling frame derived from custodian farmers associated with a formal community seed bank system operating in western Odisha, namely the Desi Bihan Surakhya Samiti (DBSS). DBSS has approximately 1,200 farmer associates across Odisha, of which around 250 farmers in western Odisha are actively engaged in the conservation of native paddy landrace seeds. A substantial proportion of these landrace-conserving farmers are concentrated in Jharsuguda, Sundargarh, and Bargarh districts, making these districts appropriate for the study. Villages with a higher concentration of DBSS-associated custodian farmers were therefore selected to ensure adequate representation of indigenous seed conservation practices.</p>
</sec>
<sec id="sec7">
<label>2.2.1.2</label>
<title>Eastern Odisha (Jeypore tract, Koraput district)</title>
<p>In eastern Odisha, the study was conducted in the Jeypore tract of Koraput district, a recognized hotspot of agricultural biodiversity. Five villages&#x2014;Umuri, Nauguada, Machhara, Sanuguadi, and Patraput were purposively selected based on their documented engagement in landrace conservation activities. These villages fall within the operational jurisdiction of the MSSRF&#x2013;Biju Patnaik Agrobiodiversity Centre, Jeypore tract, Koraput, which has implemented long-term interventions related to on-farm conservation, community seed systems, and agrobiodiversity management. The purposive selection of these villages enabled the inclusion of custodian farmers with sustained experience in landrace conservation under institutional facilitation.</p>
</sec>
</sec>
<sec id="sec8">
<label>2.2.2</label>
<title>Focused group discussion</title>
<p>In western Odisha As shown in <xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>, Focused group discussions were conducted with custodian farmers from each sampled village, and a total of 15 custodian farmers were selected from each village in eastern Odisha and western Odisha to facilitate a comprehensive four-square analysis. Therefore, 75 custodian farmers from western Odisha and 75 custodian farmers from eastern Odisha were involved in the focus group discussion.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Socio-demographic profile of custodian and non-custodian farmers in Western and Eastern Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top">Western Odisha (<italic>n</italic> =&#x202F;75)</th>
<th align="center" valign="top">Eastern Odisha (<italic>n</italic> =&#x202F;75)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender (percentage of farmers)</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">100.00</td>
<td align="center" valign="top">73.33</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">26.67</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Age (years)</td>
<td align="left" valign="top">Average age</td>
<td align="center" valign="top">50.52</td>
<td align="center" valign="top">50.33</td>
</tr>
<tr>
<td align="left" valign="top">Standard deviation</td>
<td align="center" valign="top">11.92</td>
<td align="center" valign="top">9.92</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">32&#x2013;80</td>
<td align="center" valign="top">32&#x2013;80</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education level (years)</td>
<td align="left" valign="top">Average years of schooling</td>
<td align="center" valign="top">10.77</td>
<td align="center" valign="top">6.88</td>
</tr>
<tr>
<td align="left" valign="top">Standard Deviation</td>
<td align="center" valign="top">2.79</td>
<td align="center" valign="top">3.66</td>
</tr>
<tr>
<td align="left" valign="top">Range</td>
<td align="center" valign="top">03&#x2013;15</td>
<td align="center" valign="top">0&#x2013;15</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Experience in traditional/farming practices (years)</td>
<td align="left" valign="top">&#x2264;10</td>
<td align="center" valign="top">10.67</td>
<td align="center" valign="top">13.33</td>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;20</td>
<td align="center" valign="top">33.33</td>
<td align="center" valign="top">36.00</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;20</td>
<td align="center" valign="top">56.00</td>
<td align="center" valign="top">50.67</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The sample size of 15 custodian farmers per village was determined based on established methodological guidance for focus group discussions (FGDs) and participatory research in agrobiodiversity conservation. The Agrobiodiversity Toolkit (<xref ref-type="bibr" rid="ref40">Sthapit et al., 2006</xref>) recommends FGD sizes of 6&#x2013;12 participants, particularly to ensure inclusion of knowledgeable elders and active seed savers. Similarly, <xref ref-type="bibr" rid="ref15">Gauchan et al. (2003)</xref> successfully employed participatory methods with 10&#x2013;12 custodian farmers to assess rice landrace diversity in Nepal. Furthermore, a comprehensive methodological review by <xref ref-type="bibr" rid="ref33">Nyumba et al. (2018)</xref>, based on an analysis of 170 peer-reviewed studies published in Methods in Ecology and Evolution, reported that although 6&#x2013;10 participants are commonly suggested in social science research, focus group sizes in conservation and community-based natural resource management studies are more flexible, ranging from 3 to 21 participants. The review also noted that larger group sizes (up to 15 participants) are frequently adopted to ensure broader representation across gender, age, and socio-economic categories. Any disagreements arising during group discussions were addressed through facilitated consensus-building. When differences of opinion persisted, the issue was discussed in consultation with the respective community seed bank head, who is a recognized and trusted local authority with long-term experience in seed conservation. The seed bank head assisted in clarifying historical practices and cross-checking claims, helping the group arrive at a consensus (see <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Sampling plan for focus group discussion and four-square analysis in Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sampled region (villages)</th>
<th align="center" valign="top">Number of custodian farmers</th>
<th align="left" valign="top">Topics discussed</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1. Western Odisha</td>
<td align="center" valign="top"><italic>N</italic><sub>1</sub> =&#x202F;75</td>
<td align="left" valign="top" rowspan="12">1. Landraces grown in the region.<break/><list list-type="bullet">
<list-item>
<p>Households cultivating each landrace</p>
</list-item>
<list-item>
<p>Area under cultivation</p>
</list-item>
</list>2. Perceived characteristics of landraces by farmers<break/><list list-type="bullet">
<list-item>
<p>Taste and aroma</p>
</list-item>
<list-item>
<p>Drought/flood tolerance</p>
</list-item>
<list-item>
<p>Pest resistance</p>
</list-item>
<list-item>
<p>Yield and quality</p>
</list-item>
<list-item>
<p>Suitability to local cuisine</p>
</list-item>
</list>3. Extracting out different important criteria for growing landrace.<break/><list list-type="bullet">
<list-item>
<p>Cultural significance</p>
</list-item>
<list-item>
<p>Seed exchange</p>
</list-item>
<list-item>
<p>Niche market value</p>
</list-item>
<list-item>
<p>Low-input requirement</p>
</list-item>
</list></td>
</tr>
<tr>
<td align="left" valign="top">Kattipali</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Kaintara</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Pandemal</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Baghdihi</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Katikhela</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">2. Eastern Odisha</td>
<td align="center" valign="top"><italic>N</italic><sub>2</sub> =&#x202F;75</td>
</tr>
<tr>
<td align="left" valign="top">Umuri</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Sanokaudi</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Machhara</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Nauguada</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
<tr>
<td align="left" valign="top">Patraput</td>
<td align="center" valign="top"><italic>n</italic> =&#x202F;15</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="sec9">
<label>2.2.2.1</label>
<title>Validation framework for focused group discussions</title>
<p>The study followed a Three-Tier Validation framework comprising tool validation, field pre-testing, and participatory triangulation, consistent with the <italic>Good Practices</italic> framework outlined by <xref ref-type="bibr" rid="ref40">Sthapit et al. (2006)</xref>. First, a structured and pre-tested interview schedule was developed based on established agrobiodiversity indicators. The draft tool underwent expert validation by subject-matter specialists (including agronomists, plant breeders, and social scientists), ensuring technical accuracy in landrace identification, use-values, and conservation criteria. Second, the tool was pre-tested in non-sampled villages from other districts of Odisha to ensure contextual relevance and clarity. This pilot exercise facilitated refinement of local terminology (e.g., Odia names of landraces, soil types, and customary measurement units) and improved the sensitivity of questions capturing socio-economic and cultural drivers of landrace conservation. Third, Focus Group Discussions (FGDs) were conducted following participatory protocols recommended for agrobiodiversity research.</p>
</sec>
</sec>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Four square analysis</title>
<p>To gain deeper insights into the &#x201C;Who&#x201D; and &#x201C;Why&#x201D; behind the conservation and continued cultivation of landraces by certain sections of farmers, we employed the Four Square Analysis (FSA) approach. Focused group discussions (FGDs) were conducted with custodian farmers to collect both qualitative and quantitative data, which were further analysed using appropriate statistical techniques. This method enabled us to assess the extent and distribution of various landraces across the study regions (<xref ref-type="bibr" rid="ref17">Grum et al., 2008</xref>). It effectively captured the localized spread of farmer-managed landraces, which are typically unequally distributed both among farms (households) and within farms (cultivated area). The analysis was carried out through the following structured steps:</p>
<p>Step 1: Group Formation and Landrace Listing.</p>
<p>Custodian farmers from each village were organized into focus groups. Each group collaboratively developed a comprehensive list of landraces currently cultivated and conserved in their village.</p>
<p>Step 2: Physical Layout of the Four-Square Grid.</p>
<p>A 2&#x202F;m&#x202F;&#x00D7;&#x202F;2&#x202F;m grid was marked on the ground to create a visual four-quadrant structure. The two axes of the square represented:<list list-type="bullet">
<list-item>
<p>Horizontal Axis (X-axis): Area under cultivation (large vs. small)</p>
</list-item>
<list-item>
<p>Vertical Axis (Y-axis): Number of households cultivating the landrace (many vs. few)</p>
</list-item>
</list></p>
<p>Visual markers were used to facilitate comprehension:<list list-type="bullet">
<list-item>
<p>The top two quadrants represented landraces cultivated by many households</p>
</list-item>
<list-item>
<p>Bottom two quadrants indicated landraces grown by few households</p>
</list-item>
<list-item>
<p>Left quadrants were used for landraces cultivated on large areas</p>
</list-item>
<list-item>
<p>The right quadrants were reserved for those cultivated on small areas</p>
</list-item>
</list></p>
<p>Stones/Icons were used for illustration:<list list-type="bullet">
<list-item>
<p>Multiple house symbols/Multiple Stones in the top quadrants denoted many households</p>
</list-item>
<list-item>
<p>A single house symbol/Single Stone in the lower quadrants denoted a few households</p>
</list-item>
<list-item>
<p>Large circles symbolized large area cultivation</p>
</list-item>
<list-item>
<p>Small circles indicated small area cultivation</p>
</list-item>
</list></p>
<p>Step 3: Participatory Classification of Landraces.</p>
<p>During the session, the facilitator stood at the centre of the square, held up the name of a landrace, and asked participants whether the variety was cultivated by many or few households. Based on the group&#x2019;s consensus, the facilitator moved to the corresponding vertical half of the square.</p>
<p>Step 4: Area-Based Categorization.</p>
<p>The facilitator then inquired whether the same landrace was grown on large or small plots of land. Based on the response, the landrace was placed into one of the four quadrants:<list list-type="order">
<list-item>
<p>Many households &#x2013; Large area</p>
</list-item>
<list-item>
<p>Many households &#x2013; Small area</p>
</list-item>
<list-item>
<p>Few households &#x2013; Large area</p>
</list-item>
<list-item>
<p>Few households &#x2013; Small area</p>
</list-item>
</list></p>
<p>The process was repeated for each identified landrace until all were positioned accordingly in the matrix. This information was effectively visualized using a heat map, which indicated the presence, spread, and conservation status of each landrace (e.g., common, intermediate, or rare) in the sampled villages. A cut-off of 46.67% (equivalent to 7 out of 15 households) was used to classify landraces as either being cultivated by &#x201C;many households&#x201D; or &#x201C;few households.&#x201D; In each village, 15 landrace-conserving households were surveyed. During participatory discussions with custodian farmers, it was agreed that a threshold close to half of the sampled households would provide a meaningful distinction between commonly cultivated and sparsely cultivated landraces. Accordingly, landraces grown by seven or more households were categorized as being cultivated by many households, while those grown by fewer than seven households were classified as being cultivated by few households. According to <xref ref-type="bibr" rid="ref40">Sthapit et al. (2006)</xref>, &#x201C;The cut-off point is a relative measure. The objective is to facilitate a consensus among custodian farmers to categorize their own diversity. If the group agrees that a 50% distribution (e.g., 7 or 8 out of 15) distinguishes common varieties from those held by only a few &#x2018;custodians,&#x2019; this consensus provides the scientific basis for the classification.&#x201D;</p>
<p>Similarly, cultivation area was categorized as &#x201C;small&#x201D; if less than 1 acre and &#x201C;large&#x201D; if more than 1 acre. The scoring for the Four-Square analysis has been discussed in <xref ref-type="table" rid="tab3">Table 3</xref>. According to <xref ref-type="bibr" rid="ref15">Gauchan et al. (2003)</xref>, the area threshold is often set based on the minimum land required to meet a family&#x2019;s food security for a specific period or the average plot size of the locality. In many smallholder systems, 0.5 hectares (approx. 1.2 acres) or 1 acre serves as the dividing line between a &#x201C;niche&#x201D; crop and a &#x201C;mainstream&#x201D; crop.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Scoring used in four square analysis for heat map.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Value</th>
<th align="left" valign="top">Meaning</th>
<th align="left" valign="top">Implication</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">4</td>
<td align="left" valign="top">Many households, large area</td>
<td align="left" valign="top">Highly popular and widely cultivated&#x2014;a strong custodian case.</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">Few households, large area</td>
<td align="left" valign="top">Concentrated effort by a few&#x2014;likely niche custodians.</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Many households, small area</td>
<td align="left" valign="top">Popular but possibly constrained by land or other factors.</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Few households, small area</td>
<td align="left" valign="top">Rare/neglected&#x2014;at risk of erosion.</td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">Not found</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>Matrix ranking</title>
<p>During the Four Square Analysis exercise, discussions with custodian farmers revealed a set of key characteristics that influenced their decisions to cultivate and conserve specific landraces. These characteristics were subsequently grouped into 10 major criteria: physiological traits, medicinal/nutritional value, adaptive capacity, commercial potential, social significance, cultural relevance, mystic-religious beliefs, agronomic benefits, food and culinary quality, and harvest and processing ease. To prioritize these criteria, a matrix ranking exercise was conducted involving selected custodian farmers who were actively cultivating and conserving landraces. Ten criteria, identified through earlier focus group discussions, were used for the ranking process. Locally available materials such as stones, pebbles, and sticks were employed as scoring tools. Each farmer was provided with 10 stones per landrace or cultivar and was asked to allocate them across the 10 criteria based on perceived importance-placing more stones on highly preferred criteria (10 indicating the highest preference and 1 the least). This participatory approach allowed custodian farmers to express their priorities in a tangible manner. The criteria receiving the highest total scores were assigned the top ranks, thereby reflecting the most influential factors guiding landrace conservation and cultivation. For the matrix ranking exercise, although the discussion was facilitated in a group setting, scores were elicited from each key informant individually. Each informant independently assigned scores to the ranking criteria based on their own knowledge and experience. These individual-level scores were then compiled to generate the final matrix rankings. Accordingly, the scores were treated as independent observations for statistical analysis.</p>
<p>Following the matrix ranking exercise, the mean preference scores for each of the 10 criteria were calculated to assess the overall importance attributed to them by custodian farmers. Matrix-ranking data in this study were derived from structured participatory scoring exercises in which respondents assigned numerical scores to predefined criteria. These scores were treated as quasi-continuous variables, a practice commonly adopted in agricultural extension and participatory research when ordinal rankings are converted into standardized numerical scales. Matrix-ranking data were analysed following the <xref ref-type="bibr" rid="ref7">De Villiers (1996)</xref> (QuIK) approach, which permits the transformation of participatory rankings into quantitative scores suitable for ANOVA and DMRT under quasi-continuous assumptions. To statistically validate the differences among these criteria, the data were subjected to a one-way Analysis of Variance (ANOVA), followed by Duncan&#x2019;s Multiple Range Test (DMRT) as modified by <xref ref-type="bibr" rid="ref25">Kramer (1957)</xref>. This <italic>post hoc</italic> test, originally proposed by <xref ref-type="bibr" rid="ref9">Duncan (1955)</xref>, is commonly employed after ANOVA when significant differences among group means are detected, enabling researchers to identify which specific groups differ. The procedure was conducted using the Statistical Package for Social Sciences (SPSS). Initially, ANOVA was performed to determine whether significant variation existed among the mean ranks of the 10 criteria. A significance level (<italic>&#x03B1;</italic>) of 0.05 was set for the analysis. DMRT then sorted the group means in ascending order and systematically compared each pair to assess whether the observed differences were statistically significant. The test calculated a critical range (least significant difference) based on the significance level, number of groups, and degrees of freedom obtained from ANOVA. Pairs of criteria whose mean differences exceeded this critical range were considered significantly different, while those within the range were grouped. The resulting groupings allowed for the classification of criteria into statistically distinct or overlapping categories, thereby offering empirical insight into the most influential factors that guide the cultivation and conservation of landraces. A further box plot was constructed to see which is the highly preferred criterion.</p>
<p>To visually interpret the variability and central tendency in the overall preference scores assigned to each criterion, a box plot was constructed. The box plot allowed for a clear comparison of the 10 criteria based on their median preference scores, interquartile ranges, and potential outliers. It provided a visual summary of how custodian farmers prioritised each criterion in relation to landrace cultivation and conservation. Criteria with higher medians and narrower interquartile ranges would be more consistently preferred, as indicated by their groupings labelled &#x201C;a&#x201D;, &#x201C;b&#x201D;, and &#x201C;c&#x201D; through the DMRT grouping. Criteria showing lower median preferences and broader ranges, suggesting greater variability in farmer responses.</p>
</sec>
<sec id="sec12">
<label>2.5</label>
<title>Economic significance of landraces: landrace added value score (AddValQS)</title>
<p>To systematically assess the economic importance of conserved landraces, a Landrace Added Value Score (AddValQS) was computed, adapting the framework proposed by <xref ref-type="bibr" rid="ref37">Raggi et al. (2021)</xref>. This composite index quantifies economic value based on multiple factors reflecting market engagement, institutional recognition, and income generation. Each component was scored using a weighted system (see <xref ref-type="table" rid="tab4">Table 4</xref>), reflecting increasing levels of economic engagement. While the original weighting structure was retained, additional components, sale to retail markets and value-addition activities were included based on participatory consultations with experienced custodian farmers and field experts involved in landrace cultivation and marketing during our pilot survey, a method recognized for enhancing the content validity of socio-economic indices (<xref ref-type="bibr" rid="ref29">Munda, 2004</xref>). Although formal statistical sensitivity analysis was not conducted, consistency of AddValQS outcomes was cross-checked through qualitative triangulation with Focused Group Discussions and household-level data, ensuring contextual robustness of the index. This approach aligns with the mixed-methods framework outlined by <xref ref-type="bibr" rid="ref34">O&#x2019;Cathain et al. (2010)</xref>, who describe triangulation as a rigorous technique for validating findings through the convergence of results derived from different methodological lenses.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Categories, categorical values, and weights used to calculate AddValQS.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Categorical value</th>
<th align="center" valign="top">Weighted score</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">1. Income from landrace</td>
<td align="left" valign="top">Low (&#x003C;10%)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">Medium (10&#x2013;50%)</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">High (&#x003E;50%)</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">2. Marketed output</td>
<td align="left" valign="top">Low (&#x003C;25%)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">Medium (25&#x2013;50%)</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">High (&#x003E;50%)</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">3. GI recognition</td>
<td align="left" valign="top">No GI</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">Recognized/Registered</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">4. Commercial label</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">5. Retail market sales</td>
<td align="left" valign="top">Low (&#x003C;15%)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">Medium (15&#x2013;50%)</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">High (&#x003E;50%)</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">6. Value-added product sales</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Six key components were considered:<list list-type="order">
<list-item>
<p>Annual Income from Landrace Cultivation: Percentage contribution of landrace cultivation to total annual farm income.</p>
</list-item>
<list-item>
<p>Marketed Output Share: Proportion of landrace output sold in the market.</p>
</list-item>
<list-item>
<p>Geographical Indication (GI): Whether the landrace is recognized or registered under GI or the Protection of Plant Varieties and Farmers&#x2019; Rights (PPV&#x0026;FR) Act.</p>
</list-item>
<list-item>
<p>Presence of Local or Commercial Labels: Existence of branding or labeling enhancing consumer trust and distinctiveness.</p>
</list-item>
<list-item>
<p>Sale to Retail Market: Share of landrace produce sold in direct retail markets.</p>
</list-item>
<list-item>
<p>Value-Addition Activities: Involvement in marketing of processed or value-added products derived from landraces.</p>
</list-item>
</list></p>
<p>Factors Influencing Landrace Added Value: To determine the factors influencing the AddValQS, a multivariate analysis was conducted using binary categorical variables. The following independent variables were included:<list list-type="bullet">
<list-item>
<p>Marginal Land Use (1&#x202F;=&#x202F;&#x003C;50% of farm under landrace, 0&#x202F;=&#x202F;&#x2265;50%)</p>
</list-item>
<list-item>
<p>Promotion Level (1&#x202F;=&#x202F;maintained by custodian farmers/local actors; 0&#x202F;=&#x202F;promoted by NGOs/KVKs)</p>
</list-item>
<list-item>
<p>Primary Use (1&#x202F;=&#x202F;home consumption; 0&#x202F;=&#x202F;market-oriented)</p>
</list-item>
<list-item>
<p>Multiplication Actor (1&#x202F;=&#x202F;multiplied by custodian farmers; 0&#x202F;=&#x202F;institutions or seed banks)</p>
</list-item>
<list-item>
<p>Formal On-Farm Management Plan (1&#x202F;=&#x202F;present; 0&#x202F;=&#x202F;absent)</p>
</list-item>
</list></p>
<p>These variables were regressed against AddValQS to identify significant determinants of economic value (see <xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Binary variables used in multivariate analysis of AddValQS.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="left" valign="top">Description</th>
<th align="left" valign="top">Values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Marginal land</td>
<td align="left" valign="top">Cultivated on &#x003C;50% area</td>
<td align="left" valign="top">1&#x202F;=&#x202F;Yes; 0&#x202F;=&#x202F;No</td>
</tr>
<tr>
<td align="left" valign="top">Promotion</td>
<td align="left" valign="top">Maintained by farmers only</td>
<td align="left" valign="top">1&#x202F;=&#x202F;Yes; 0&#x202F;=&#x202F;No</td>
</tr>
<tr>
<td align="left" valign="top">Use</td>
<td align="left" valign="top">Primarily for home supply</td>
<td align="left" valign="top">1&#x202F;=&#x202F;Yes; 0&#x202F;=&#x202F;No</td>
</tr>
<tr>
<td align="left" valign="top">Multiplication actor</td>
<td align="left" valign="top">Multiplied by farmers</td>
<td align="left" valign="top">1&#x202F;=&#x202F;Yes; 0&#x202F;=&#x202F;No</td>
</tr>
<tr>
<td align="left" valign="top">Formal conservation plan</td>
<td align="left" valign="top">On-farm management plan exists</td>
<td align="left" valign="top">1&#x202F;=&#x202F;Yes; 0&#x202F;=&#x202F;No</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Result and discussion</title>
<sec id="sec14">
<label>3.1</label>
<title>Socio-demographic profile of sampled area</title>
<p>Custodian farmers in both western and eastern Odisha were predominantly middle-aged to elderly, with mean ages ranging from approximately 49 to 51&#x202F;years, supporting the assertion that landrace conservation knowledge is largely held by experienced farmers. Regarding gender, women farmers were included in both custodian and non-custodian categories; however, consistent with local landholding and household headship patterns, the majority of identified custodians were male. This limitation is now explicitly acknowledged, and the manuscript clarifies that while women play a crucial role in seed selection, storage, and knowledge transmission, formal recognition as &#x201C;custodian farmers&#x201D; often remains male-biased due to socio-institutional norms. This is discussed in relation to earlier ethno-botanical findings (e.g., <xref ref-type="bibr" rid="ref22">King et al. 2015</xref>; <xref ref-type="bibr" rid="ref36">Panda and Pandey, 2021</xref>).</p>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Documentation of landraces and their perceived characteristics grown in Odisha</title>
<p>The study documented a total of 56 landraces of paddy and 10 millet landraces that were cultivated and conserved by custodian farmers in western and eastern agro-ecological regions of Odisha. A total of 30 paddy landraces were recorded in Western Odisha. The characteristics of these landraces were deeply rooted in custodian farmers&#x2019; traditional knowledge and were primarily associated with nutritional quality, stress tolerance, cultural importance, and culinary attributes. Landrace like <italic>Kalabati</italic> was noted for its sugar-free property despite having 78% carbohydrate content and was known to be persistently cultivated for over 6&#x2013;7&#x202F;years. <italic>Katia, Kala Maliphul,</italic> and <italic>Brahma Black</italic> were rich in iron and calcium, indicating their nutritional superiority. Landraces like <italic>Kusumkali</italic> and <italic>Sonagathi</italic> were believed to possess medicinal properties, particularly effective for joint pains and eye health, respectively. <italic>Talmuli</italic> was recognised for its resistance to Brown Plant Hopper, a serious pest of rice. <italic>Jalgudi</italic> was appreciated for its ability to survive in submerged conditions, highlighting its suitability in flood-prone areas. In terms of consumption, varieties like <italic>Bahal, Bhajna, Annapurna</italic>, and <italic>Kandhsagar</italic> were preferred due to their taste and cultural relevance, especially for traditional dishes such as <italic>Pakhala Bhat</italic> and <italic>Kanika</italic>. In Eastern Odisha, 16 paddy and 10 millet landraces were documented. These landraces reflected a blend of market relevance, agronomic resilience, and traditional use. Paddy landraces like <italic>Umuriachundi</italic>, <italic>Machhakanta</italic>, and <italic>Haldichudi</italic> had high market demand and were used in religious and cultural rituals. <italic>Dangarbasumati</italic> was notable for its high yield and resistance to insect-pest attacks, making it suitable for low-input agriculture. Landraces such as <italic>Dodikaburi</italic> and <italic>Paradhan</italic> displayed drought resistance, weed-suppressing abilities, and required minimal fertilizer input. Culturally significant landraces such as <italic>Sapuri</italic> and <italic>Gothia</italic> were used in marriage rituals and festivals. Among millets, Finger millet (<italic>Mandia</italic>) varieties like <italic>Batimandia</italic>, <italic>Dusseramandia</italic>, and <italic>Telenga Mandia</italic> were found to be climate-resilient, nutritious, and suitable for the preparation of local dishes such as <italic>Mandia Pitha</italic> and <italic>Pej</italic>. <italic>Seetadai</italic> (<italic>Little millet</italic>) and <italic>Santarah</italic> were specifically noted for their use in field meals and summer beverages, respectively. The detailed characteristics of landraces conserved in Western Odisha and Eastern Odisha are elaborated upon in <xref ref-type="table" rid="tab6">Tables 6</xref>, <xref ref-type="table" rid="tab7">7</xref>, respectively. The graphical analysis of perceived traits among paddy landraces conserved in both regions of Odisha revealed that attributes such as market demand, suitability for home consumption, aromatic quality, and resistance to pests were most frequently valued by custodian farmers. A comparative trait-wise assessment between Eastern and Western Odisha showed that market demand and suitability for puffed rice were more prevalent in Eastern Odisha, whereas traits like black rice, quicker cooking time, and pest resistance were more prominent in Western Odisha. Notably, home consumption and nutritional value emerged as significant criteria across both regions. These insights were derived from Focus Group Discussions (FGDs) with custodian farmers. To validate these findings, matrix ranking was conducted and supported by rigorous statistical analysis using Analysis of Variance (ANOVA) and Duncan&#x2019;s Multiple Range Test (DMRT), which helped identify and prioritize the most important criteria for the conservation of traditional landraces.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>List of paddy landraces and their characteristics conserved in western Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S. no.</th>
<th align="left" valign="top">Varieties</th>
<th align="left" valign="top">Prominent characteristics perceived by farmers</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top"><italic>Kalabati</italic></td>
<td align="left" valign="top">78% Carbohydrate but 100% Sugar-free; Black rice; Continuously grown in the field without getting destroyed (6&#x2013;7) years</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top"><italic>Katia</italic></td>
<td align="left" valign="top">Black rice; Rich in calcium and iron</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top"><italic>Kala maliphul</italic></td>
<td align="left" valign="top">Black rice; Rich in calcium and iron; 100% bran</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top"><italic>Brahma Black</italic></td>
<td align="left" valign="top">Black rice; Rich in calcium and iron</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top"><italic>Madabaru (sub)</italic></td>
<td align="left" valign="top">Black rice; Rich in calcium and iron; unique flavor, aroma</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top"><italic>Megadabral</italic></td>
<td align="left" valign="top">Black rice; Rich in calcium and iron</td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top"><italic>Karaini</italic></td>
<td align="left" valign="top">Cooking time is less</td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="left" valign="top"><italic>Kalasu</italic></td>
<td align="left" valign="top">Cooking time is less</td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="left" valign="top"><italic>Sonagathi</italic></td>
<td align="left" valign="top">Use in eye treatment, thick grains</td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="left" valign="top"><italic>Kusum</italic></td>
<td align="left" valign="top">For pregnant women; Joints pain</td>
</tr>
<tr>
<td align="left" valign="top">11.</td>
<td align="left" valign="top"><italic>Talmuli</italic></td>
<td align="left" valign="top">Free from the attack of Brown Plant hopper</td>
</tr>
<tr>
<td align="left" valign="top">12.</td>
<td align="left" valign="top"><italic>Barumai</italic></td>
<td align="left" valign="top" rowspan="3">Cannot give fertilizers otherwise lodging, good taste</td>
</tr>
<tr>
<td align="left" valign="top">13.</td>
<td align="left" valign="top"><italic>Kushika</italic></td>
</tr>
<tr>
<td align="left" valign="top">14.</td>
<td align="left" valign="top"><italic>Kurumandal</italic></td>
</tr>
<tr>
<td align="left" valign="top">15.</td>
<td align="left" valign="top"><italic>Kusum kali</italic></td>
<td align="left" valign="top">Resistant to the attack of Brown Plant Hopper; No fertilizer application, good taste</td>
</tr>
<tr>
<td align="left" valign="top">16.</td>
<td align="left" valign="top"><italic>Bathrash</italic></td>
<td align="left" valign="top">Red rice has, a good taste</td>
</tr>
<tr>
<td align="left" valign="top">17.</td>
<td align="left" valign="top"><italic>Congvani</italic></td>
<td align="left" valign="top">Red rice</td>
</tr>
<tr>
<td align="left" valign="top">18.</td>
<td align="left" valign="top"><italic>Congedemay</italic></td>
<td align="left" valign="top">Red rice</td>
</tr>
<tr>
<td align="left" valign="top">19.</td>
<td align="left" valign="top"><italic>Jalgudi</italic></td>
<td align="left" valign="top">Red rice, more tillers, harvesting in submerged conditions</td>
</tr>
<tr>
<td align="left" valign="top">20.</td>
<td align="left" valign="top"><italic>Bahal</italic></td>
<td align="left" valign="top">Jagannath <italic>boj</italic>, good taste, preferred for <italic>Pakkhal Bhat</italic></td>
</tr>
<tr>
<td align="left" valign="top">21.</td>
<td align="left" valign="top"><italic>Bojni</italic></td>
<td align="left" valign="top">Taste, low input required, <italic>Pakhala bhat</italic></td>
</tr>
<tr>
<td align="left" valign="top">22.</td>
<td align="left" valign="top"><italic>Bhajna</italic></td>
<td align="left" valign="top"><italic>Jaggannath boj</italic>, good taste, <italic>Pakhala baht</italic></td>
</tr>
<tr>
<td align="left" valign="top">23.</td>
<td align="left" valign="top"><italic>Kalahans</italic></td>
<td align="left" valign="top">&#x201C;<italic>Kanika</italic>&#x201D; (a sweet rice dish) and &#x201C;<italic>Pakhala</italic>&#x201D; (fermented rice), a pleasing aroma</td>
</tr>
<tr>
<td align="left" valign="top">24.</td>
<td align="left" valign="top"><italic>Annapurna</italic></td>
<td align="left" valign="top">Home consumption</td>
</tr>
<tr>
<td align="left" valign="top">25.</td>
<td align="left" valign="top"><italic>Kandhsagar</italic></td>
<td align="left" valign="top">Home consumption</td>
</tr>
<tr>
<td align="left" valign="top">26.</td>
<td align="left" valign="top"><italic>Pratiksha</italic></td>
<td align="left" valign="top">Good yield</td>
</tr>
<tr>
<td align="left" valign="top">27.</td>
<td align="left" valign="top"><italic>Jagbandhu</italic></td>
<td align="left" valign="top">Rice cake</td>
</tr>
<tr>
<td align="left" valign="top">28.</td>
<td align="left" valign="top"><italic>Machhakanta</italic></td>
<td align="left" valign="top">Medium-sized and possesses good cooking quality, Scented, suitable for rice pudding</td>
</tr>
<tr>
<td align="left" valign="top">29.</td>
<td align="left" valign="top"><italic>Manipuri Black rice</italic></td>
<td align="left" valign="top">Unique black/purple color and nutty flavor, short duration can be grown thrice in a year</td>
</tr>
<tr>
<td align="left" valign="top">30.</td>
<td align="left" valign="top"><italic>Purutin</italic></td>
<td align="left" valign="top">Home consumption</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>List of paddy landraces and their perceived characteristics conserved in Eastern Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S. no.</th>
<th align="left" valign="top">Varieties</th>
<th align="left" valign="top">Prominent characteristics perceived by farmers</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top"><italic>Umuriachundi</italic></td>
<td align="left" valign="top">Market demand, pop rice is good, use in rituals (<italic>chaitaparab</italic>)</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top"><italic>Kalajeera</italic></td>
<td align="left" valign="top">Market demand, strong aroma last for months, short grains suitable for special dishes</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top"><italic>Machhakanta</italic></td>
<td align="left" valign="top">Narrow and sharp grains with a delightful taste, used in <italic>laxmi puja</italic>, resistant to lodging, market demand and high-yielding</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top"><italic>Haldichudi</italic></td>
<td align="left" valign="top">High commercial demand, medium slender grains, delightful taste, and suitability for preparing value-added products</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top"><italic>Sapuri</italic></td>
<td align="left" valign="top">Given to brides during weddings, lodging-resistant, suitable for making popped rice during marriage ceremonies, market demand</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top"><italic>Pokia Dhan</italic></td>
<td align="left" valign="top">Cooking quality is good, suitable for upland sowing, no fertilizer application</td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top"><italic>Dangarbasumati</italic></td>
<td align="left" valign="top">Hardy nature, rice is soft and aromatic, ideal for preparing special dishes. Exhibits resistance to insects and pestsand high yielding</td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="left" valign="top"><italic>Pandkagura</italic></td>
<td align="left" valign="top">Home consumption, high nutritive property</td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="left" valign="top"><italic>Para dhan</italic></td>
<td align="left" valign="top">Weed suppressor (agronomic), nutritious red rice, disease and pest resistant, produces quality flakesof rice</td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="left" valign="top"><italic>Mati Dhan</italic></td>
<td align="left" valign="top">Grows well in different types of soil. Nutritious rice is suitable for making rice flakes</td>
</tr>
<tr>
<td align="left" valign="top">11.</td>
<td align="left" valign="top"><italic>Gothia</italic></td>
<td align="left" valign="top">Home consumption, good in taste, used in festivals</td>
</tr>
<tr>
<td align="left" valign="top">15.</td>
<td align="left" valign="top"><italic>Bhudei</italic></td>
<td align="left" valign="top">Fine rice, home consumption</td>
</tr>
<tr>
<td align="left" valign="top">16.</td>
<td align="left" valign="top"><italic>Dodikaburi</italic></td>
<td align="left" valign="top">Drought-resistant, weed suppressor, white, long rice with excellent taste, shorter cooking time, suitable for puffed rice</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>Extent and distribution of landraces cultivated and conserved in Odisha</title>
<p>In Western Odisha, a diverse distribution pattern of landraces was observed across five villages: <italic>Kattipali</italic>, <italic>Baghdihi</italic>, <italic>Kaitara</italic>, <italic>Pandemal</italic>, and <italic>Katikhela,</italic> as shown in <xref ref-type="table" rid="tab8">Table 8</xref>. Some landraces, such as <italic>Kalabati,</italic> were found to be widely cultivated across multiple villages, particularly in large areas but by fewer households, highlighting their potential for broader dissemination. In contrast, <italic>Katia, Brahma Black,</italic> and <italic>Jalgudi</italic> were grown in small areas and by fewer households, marking them as rare and potentially threatened. Other landraces, such as <italic>Talmuli</italic>, <italic>Kurumandal</italic>, and <italic>Kusumkali,</italic> showed intermediate distribution, being cultivated in large areas but by fewer households in selected villages. Additionally, a significant number of landraces were found to be restricted to single villages, including <italic>Madabaru</italic>, <italic>Megadabral</italic>, <italic>Karaini</italic>, <italic>Kala Maliphul</italic>, <italic>Bathrash</italic>, and <italic>Purutin</italic>, indicating high localisation and vulnerability. These landraces were mostly maintained by a few households over small patches, qualifying them as rare or isolated varieties in urgent need of conservation. To enhance the interpretability of data on the extent and distribution of landraces across villages in Western Odisha, a heat map was constructed (<xref ref-type="fig" rid="fig2">Figure 2</xref>). This visualization captures the intensity of landrace cultivation based on both the number of cultivating households and the area under cultivation. Darker shades indicate higher intensity, representing landraces grown by a greater number of households and/or over larger areas. For instance, landraces such as <italic>Kusumkali</italic> and <italic>Kalabati</italic> show a strong presence across multiple villages, highlighted by consistently darker cells. In contrast, landraces like <italic>Talmuli</italic> and <italic>Brahma Black</italic> appear sparsely distributed and with lower cultivation intensity (<xref ref-type="table" rid="tab7">Tables 7</xref>&#x2013;<xref ref-type="table" rid="tab9">9</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Four square analysis: results of extent and distribution of landraces in Western Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Landrace/village</th>
<th align="center" valign="top">Kattipali</th>
<th align="center" valign="top">Baghdihi</th>
<th align="center" valign="top">Kaitara</th>
<th align="center" valign="top">Pandemal</th>
<th align="center" valign="top">Katikhela</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Kalabati</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold> (Few HH, Large Area)</td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold> (Many HH, small area)</td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Katia</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold> (Few HH, Small area)</td>
<td align="center" valign="top"><bold>&#x2666;&#x2660; (</bold>Few HH, Small area)</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Brahma Black</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Jalgudi</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Sonagathi</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Talmuli</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Kurumandal</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Kusumkali</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2666;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x25A0;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Bahal</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="order">
<list-item>
<p>
<italic>Bojni</italic>
</p>
</list-item>
</list>
</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2666;&#x2660;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x25D9;&#x2660;</bold></td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Other Rare/isolated landraces (single village only)</th>
</tr>
<tr>
<th align="left" valign="top">Landraces</th>
<th align="left" valign="top">Village (Occurrence)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>Madabaru</italic>, <italic>Megadabral</italic>, <italic>Karaini</italic>, <italic>Kalasu</italic>, <italic>Kusum</italic>, <italic>Kushika</italic>, <italic>Congvani</italic>, <italic>Congedemay</italic></td>
<td align="left" valign="top">Kattipali (Rare)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Bathrash</italic>, <italic>Chini Chira</italic>, <italic>Annapurna</italic>, <italic>Kandhsagar</italic></td>
<td align="left" valign="top">Pandemal/Katikhela (Rare)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Machhakanta</italic>, <italic>Purutin</italic>, <italic>Manipuri Black Rice</italic></td>
<td align="left" valign="top">Baghdihi (Rare)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Kala Maliphul</italic>, <italic>Karaini</italic>, <italic>Kalasu</italic></td>
<td align="left" valign="top">Katikhela (Rare)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Jagbandhu</italic>, <italic>Bajna</italic>, <italic>Bhajna</italic>, <italic>Bahal Dhan</italic></td>
<td align="left" valign="top">Kaitara/Pandemal (Single household/area)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x25D9;, Many Households; &#x2666;, Few Households; &#x25A0;, Large Area; &#x2660;, Small Area; &#x2013;, Not found in village; &#x2666;&#x2660;, Rare varieties; &#x25D9;&#x25A0;, Common varieties.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Heat map: extent and distribution of landraces in Western Odisha.</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heat map illustrating the extent and distribution intensity (scale zero to four) of various landraces across five villages in Western Odisha, with darker shades indicating higher values and a color bar for intensity reference.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Four square analysis: results of extent and distribution of landraces in Eastern Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Landrace</th>
<th align="center" valign="top">Umuri</th>
<th align="center" valign="top">Sanokaudi</th>
<th align="center" valign="top">Nauguada</th>
<th align="center" valign="top">Macchra</th>
<th align="center" valign="top">Patraput</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>Kalajeera</italic></td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Machhakanta</italic></td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2666;&#x25A0;</td>
<td align="center" valign="top">&#x2666;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Haldichudi</italic></td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Sapuri</italic></td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x2666;&#x25A0;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Pokia Dhan</italic></td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Dangarbasumati</italic></td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Umuriachundi</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x25A0;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Lhalat</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Pandkagura</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Mugudi</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Para Dhan</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Mati Dhan</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x25D9;&#x2660;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Gothia</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Bhudei</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Dodikaburi</italic></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2666;&#x2660;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x25D9;, Many Households; &#x2666;, Few Households; &#x25A0;, Large Area; &#x2660;, Small Area; &#x2212;, Not Found; &#x2666;&#x2660;, Rare Variety; &#x25D9;&#x25A0;, Common Variety; &#x2666;&#x25A0; or &#x25D9;&#x2660;, Intermediate Variety.</p>
</table-wrap-foot>
</table-wrap>
<p>In Eastern Odisha, landraces such as <italic>Kalajeera</italic>, <italic>Haldichudi</italic>, and <italic>Umuriachundi</italic> were widely cultivated across multiple villages like Umuri, Sanokaudi, Nauguada, and Macchra. These were typically grown by many households and on large areas, making them <italic>common</italic> var<italic>ieties</italic> with strong cultural and culinary relevance. Landraces such as <italic>Machhakanta</italic>, <italic>Sapuri</italic>, and <italic>Dangarbasumati</italic> exhibited intermediate characteristics being cultivated by fewer households or on smaller plots&#x2014;suggesting a declining trend in popularity or area. Other landraces like <italic>Pokia Dhan</italic>, <italic>Pandkagura</italic>, <italic>Para Dhan</italic>, <italic>Mati Dhan</italic>, and <italic>Dodikaburi</italic> were found in very limited geographies and in very small areas, classifying them as <italic>rare</italic> and highlighting the need for targeted conservation efforts. The color intensity in the map corresponds to the level of conservation: darker shades indicate landraces that are more extensively cultivated or maintained by a higher number of households. Prominently, <italic>Kalajeera</italic>, <italic>Machhakanta</italic>, <italic>Haldichudi</italic>, <italic>Sapuri</italic>, and <italic>Umuriachundi</italic> showed higher conservation scores, particularly in Nauguada and Macchra villages. These landraces exhibited sustained conservation due to a combination of market demand, cultural relevance, and culinary value. In particular, <italic>Umuriachundi</italic> scored consistently high across four villages, signifying its widespread cultivation and cultural utility. Conversely, landraces such as <italic>Para Dhan</italic>, <italic>Mati Dhan</italic>, <italic>Gothia</italic>, <italic>Bhudei</italic>, and <italic>Dodikaburi</italic> had low conservation scores, often limited to a single village with minimal household participation. These varieties may be at risk of farm loss and represent candidates for urgent conservation attention (see <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Heatmap of paddy landrace conservation across villages.</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmap showing conservation scores of different paddy landraces across five villages, with color intensity indicating score values from zero to four based on the legend at right.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<label>3.4</label>
<title>Farmers&#x2019; criteria for prioritization and conservation of landraces in Odisha</title>
<p>To better understand why certain landraces are conserved by many households while others are maintained only in small areas, matrix ranking was performed to assess custodian farmers&#x2019; preferences for conserving specific landraces. This approach also helps explain why some landraces are grown by many households but only on small plots, and why others are conserved by few households and on limited areas. Understanding these preferences is essential for identifying how such landraces can be protected and promoted. As shown in <xref ref-type="table" rid="tab10">Table 10</xref>, in Western Odisha, paddy landrace <italic>Kusumkali</italic>, the most preferred criterion was its adaptive capacity. Custodian Farmers noted that <italic>Kusumkali</italic> was resistant to the attack of Brown Plant Hopper (<italic>Nilaparvata lugens</italic>), resulting in decreased yield losses compared to modern cultivars. This resilience resulted in high market demand for the black rice landraces, which led to prices ranging from Rs 60 to 250 per kilogram in retail shops, especially in villages like Baghdihi and Kattipali. Custodian farmers in Baghdihi were even able to obtain the Maximum Retail Price for <italic>Kusumkali</italic> in state mandis, emphasizing the commercial value as the second most preferred criterion. Similarly, due to its nutritional attributes, the <italic>Kalabati</italic> landrace had significant demand within local and state markets. According to custodian farmers, it is a sugar-free but rich source of carbohydrates, iron and calcium. The results align with <xref ref-type="bibr" rid="ref9006">Savitha and Kumari&#x2019;s (2016)</xref> study, indicating medicinal paddy landraces were highly nutritious and rich in iron and zinc. Consequently, the foremost and third most prioritized criteria for conserving <italic>Kalabati</italic> were its commercial value and nutritious properties. The results are similar to the findings of <xref ref-type="bibr" rid="ref23">Kinho&#x00E9;gb&#x00E8; et al. (2020)</xref>, where the majority of the custodian farmers were conserving landraces due to their market value and nutritional value. Furthermore, the adaptability of this landrace to the local environmental conditions contributed to its consistent yield ranging from 20 to 30 quintals per acre. This proficiency in adapting to the climate and consistent yield positioned physiological ability as the second most preferred criterion, while adaptive capacity followed closely as the third. Custodian farmers engaged in <italic>Talmuli</italic> paddy cultivation made a noteworthy observation: <italic>Talmuli</italic> exhibited complete resistance to Brown Plant Hopper infestations, a contrast to the susceptibility observed in the modern cultivar. Furthermore, the <italic>Talmuli</italic> landrace showed a good yield ranging from 22 to 25 quintals per acre, unaffected by pest infestations. <italic>Sonagathi</italic> was preferred for its medicinal properties; it was used for eye treatment and to cure infections. The rice water of <italic>Sonagathi</italic> was used as eye drops for treating eye infections, and its consumption was also considered beneficial for maintaining optimal eye health. <italic>Bahal</italic> was cultivated for household consumption due to its good taste and, hence preferred for food and culinary purposes. In modern cultivars, the most preferred criterion was the commercial value in the market. The easy availability of modern cultivars in nearby input shops and local markets, as well as easy sale in state <italic>mandis</italic> on MSP, made it commercially valuable. The yield was also more than that of landraces; hence, the physiological ability of the modern cultivar was the second preferred criterion. If we see the overall preference in <xref ref-type="fig" rid="fig4">Figure 4</xref> for cultivating and growing paddy landraces in western Odisha, the most favored criterion was the adaptive capacity of these landraces. This adaptability was evident in cases like <italic>Kusumkali, Talmuli</italic>, <italic>Sonagathi,</italic> etc., which resist pests, show adaptability to local conditions, minimise yield losses and drive high market demand. The high market demand was the second most preferred criterion for prioritization and conservation of landraces. Farmers value landraces that possess adaptive traits, such as drought resistance, disease tolerance, and stable yields, which allow crops to flourish in the local environment (<xref ref-type="bibr" rid="ref6">Brush, 2008</xref>; <xref ref-type="table" rid="tab11">Table 11</xref>).</p>
<table-wrap position="float" id="tab10">
<label>Table 10</label>
<caption>
<p>Farmers&#x2019; criteria for prioritization and conservation of landraces of paddy landraces in Western Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">S. no.</th>
<th align="left" valign="top">Landraces</th>
<th align="center" valign="top">
<italic>Kusumkali</italic>
</th>
<th align="center" valign="top">
<italic>Kalabati</italic>
</th>
<th align="center" valign="top">
<italic>Bahal/Bajna</italic>
</th>
<th align="center" valign="top">
<italic>Talmuli</italic>
</th>
<th align="center" valign="top">
<italic>Sonagathi</italic>
</th>
<th align="center" valign="top">Modern cultivar</th>
<th align="center" valign="top">Overall preference</th>
</tr>
<tr>
<th align="left" valign="top">Criteria</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Physiological</td>
<td align="center" valign="top">4.87&#x202F;&#x00B1;&#x202F;0.23<sup>d</sup></td>
<td align="center" valign="top">2.15&#x202F;&#x00B1;&#x202F;0.14<sup>b</sup></td>
<td align="center" valign="top">7.73&#x202F;&#x00B1;&#x202F;1.22<sup>e</sup></td>
<td align="center" valign="top">1.75&#x202F;&#x00B1;&#x202F;0.87<sup>a</sup></td>
<td align="center" valign="top">9.15&#x202F;&#x00B1;&#x202F;0.13<sup>g</sup></td>
<td align="center" valign="top">2.12&#x202F;&#x00B1;&#x202F;0.09<sup>b</sup></td>
<td align="center" valign="top">4.63&#x202F;&#x00B1;&#x202F;0.06<sup>d</sup></td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Medicinal</td>
<td align="center" valign="top">7.79&#x202F;&#x00B1;&#x202F;0.14<sup>g</sup></td>
<td align="center" valign="top">3.31&#x202F;&#x00B1;&#x202F;0.01<sup>c</sup></td>
<td align="center" valign="top">7.71&#x202F;&#x00B1;&#x202F;1.40<sup>e</sup></td>
<td align="center" valign="top">8.11&#x202F;&#x00B1;&#x202F;0.36<sup>g</sup></td>
<td align="center" valign="top">1.16&#x202F;&#x00B1;&#x202F;0.43<sup>a</sup></td>
<td align="center" valign="top">9.79&#x202F;&#x00B1;&#x202F;0.04<sup>i</sup></td>
<td align="center" valign="top">6.31&#x202F;&#x00B1;&#x202F;0.04<sup>g</sup></td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Adaptive capacity</td>
<td align="center" valign="top">1.49&#x202F;&#x00B1;&#x202F;0.09<sup>a</sup></td>
<td align="center" valign="top">3.11&#x202F;&#x00B1;&#x202F;0.13<sup>c</sup></td>
<td align="center" valign="top">4.75&#x202F;&#x00B1;&#x202F;0.11<sup>d</sup></td>
<td align="center" valign="top">1.63&#x202F;&#x00B1;&#x202F;0.56<sup>a</sup></td>
<td align="center" valign="top">2.61&#x202F;&#x00B1;&#x202F;0.15<sup>b</sup></td>
<td align="center" valign="top">7.29&#x202F;&#x00B1;&#x202F;0.12<sup>g</sup></td>
<td align="center" valign="top">3.48&#x202F;&#x00B1;&#x202F;0.04<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Commercial</td>
<td align="center" valign="top">2.36&#x202F;&#x00B1;&#x202F;0.11<sup>b</sup></td>
<td align="center" valign="top">2.05&#x202F;&#x00B1;&#x202F;0.14<sup>a</sup></td>
<td align="center" valign="top">8.75&#x202F;&#x00B1;&#x202F;0.15<sup>f</sup></td>
<td align="center" valign="top">2.83&#x202F;&#x00B1;&#x202F;0.12<sup>b</sup></td>
<td align="center" valign="top">6.45&#x202F;&#x00B1;&#x202F;0.27<sup>e</sup></td>
<td align="center" valign="top">1.29&#x202F;&#x00B1;&#x202F;0.05<sup>a</sup></td>
<td align="center" valign="top">3.96&#x202F;&#x00B1;&#x202F;0.05<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Social</td>
<td align="center" valign="top">5.88&#x202F;&#x00B1;&#x202F;0.18e</td>
<td align="center" valign="top">4.79&#x202F;&#x00B1;&#x202F;0.17<sup>d</sup></td>
<td align="center" valign="top">4.51&#x202F;&#x00B1;&#x202F;0.18<sup>cd</sup></td>
<td align="center" valign="top">6.20&#x202F;&#x00B1;&#x202F;0.46<sup>e</sup></td>
<td align="center" valign="top">5.03&#x202F;&#x00B1;&#x202F;0.19<sup>d</sup></td>
<td align="center" valign="top">4.56<sup>e</sup> &#x00B1;&#x202F;0.06</td>
<td align="center" valign="top">5.16&#x202F;&#x00B1;&#x202F;0.05<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top">Cultural</td>
<td align="center" valign="top">6.67&#x202F;&#x00B1;&#x202F;0.22 <sup>f</sup></td>
<td align="center" valign="top">5.95&#x202F;&#x00B1;&#x202F;0.09<sup>e</sup></td>
<td align="center" valign="top">2.40&#x202F;&#x00B1;&#x202F;0.13<sup>b</sup></td>
<td align="center" valign="top">7.29&#x202F;&#x00B1;&#x202F;0.73<sup>f</sup></td>
<td align="center" valign="top">4.69&#x202F;&#x00B1;&#x202F;0.10<sup>d</sup></td>
<td align="center" valign="top">9.05&#x202F;&#x00B1;&#x202F;0.57<sup>h</sup></td>
<td align="center" valign="top">6.01&#x202F;&#x00B1;&#x202F;0.06<sup>f</sup></td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top">Mystic religious</td>
<td align="center" valign="top">8.39&#x202F;&#x00B1;&#x202F;0.13<sup>h</sup></td>
<td align="center" valign="top">7.64&#x202F;&#x00B1;&#x202F;0.14<sup>f</sup></td>
<td align="center" valign="top">4.72&#x202F;&#x00B1;&#x202F;0.22<sup>d</sup></td>
<td align="center" valign="top">8.40&#x202F;&#x00B1;&#x202F;0.14<sup>h</sup></td>
<td align="center" valign="top">7.69&#x202F;&#x00B1;&#x202F;0.11f</td>
<td align="center" valign="top">7.55&#x202F;&#x00B1;&#x202F;0.08&#x202F;g</td>
<td align="center" valign="top">7.40&#x202F;&#x00B1;&#x202F;0.07<sup>h</sup></td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="left" valign="top">Agronomic benefit</td>
<td align="center" valign="top">4.64&#x202F;&#x00B1;&#x202F;0.15<sup>d</sup></td>
<td align="center" valign="top">8.32&#x202F;&#x00B1;&#x202F;0.12<sup>g</sup></td>
<td align="center" valign="top">4.22&#x202F;&#x00B1;&#x202F;0.17<sup>c</sup></td>
<td align="center" valign="top">4.03&#x202F;&#x00B1;&#x202F;0.82<sup>c</sup></td>
<td align="center" valign="top">5.15&#x202F;&#x00B1;&#x202F;0.16<sup>d</sup></td>
<td align="center" valign="top">5.41<sup>f</sup> &#x00B1;&#x202F;0.14</td>
<td align="center" valign="top">5.29&#x202F;&#x00B1;&#x202F;0.06<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="left" valign="top">Food and culinary</td>
<td align="center" valign="top">3.21&#x202F;&#x00B1;&#x202F;0.17<sup>c</sup></td>
<td align="center" valign="top">8.67&#x202F;&#x00B1;&#x202F;1.50<sup>gh</sup></td>
<td align="center" valign="top">1.20&#x202F;&#x00B1;&#x202F;0.50<sup>a</sup></td>
<td align="center" valign="top">4.76&#x202F;&#x00B1;&#x202F;0.50<sup>d</sup></td>
<td align="center" valign="top">3.97&#x202F;&#x00B1;&#x202F;0.26<sup>c</sup></td>
<td align="center" valign="top">3.77&#x202F;&#x00B1;&#x202F;0.20<sup>c</sup></td>
<td align="center" valign="top">4.26&#x202F;&#x00B1;&#x202F;0.07<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="left" valign="top">Easy to harvest and thresh</td>
<td align="center" valign="top">9.67&#x202F;&#x00B1;&#x202F;0.60<sup>i</sup></td>
<td align="center" valign="top">9.01&#x202F;&#x00B1;&#x202F;0.13<sup>h</sup></td>
<td align="center" valign="top">9.24&#x202F;&#x00B1;&#x202F;0.14<sup>g</sup></td>
<td align="center" valign="top">4.76&#x202F;&#x00B1;&#x202F;0.50<sup>d</sup></td>
<td align="center" valign="top">9.11&#x202F;&#x00B1;&#x202F;0.09<sup>g</sup></td>
<td align="center" valign="top">4.15<sup>d</sup> &#x00B1;&#x202F;0.16</td>
<td align="center" valign="top">7.66&#x202F;&#x00B1;&#x202F;0.05<sup>i</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean with different superscripts in column differ significantly at a 5% level of significance. Multiple comparison was based on Duncan Multiple Range Test (DMRT).</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Farmers&#x2019; criteria for prioritization and conservation of paddy landraces in Western Odisha (overall preference).</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Box plot comparing overall preference scores for nine criteria, with each box labeled a to i and color-coded. Criteria include physiological, medicinal, adaptive management, commercial, social, cultural, mystic religious, agronomic benefit, food and culinary, and ease in harvesting. Preference scores and sample sizes are indicated, showing variation and central tendency for each criterion.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab11">
<label>Table 11</label>
<caption>
<p>Farmers&#x2019; criteria for prioritization and conservation of paddy landraces in eastern Odisha.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">S. no.</th>
<th align="left" valign="top">Landraces</th>
<th align="center" valign="top">
<italic>Kalajeera</italic>
</th>
<th align="center" valign="top">
<italic>Para dhan</italic>
</th>
<th align="center" valign="top">
<italic>Sapuri</italic>
</th>
<th align="center" valign="top">
<italic>Dangarbasumati</italic>
</th>
<th align="center" valign="top">
<italic>Umuriachundi</italic>
</th>
<th align="center" valign="top">Modern cultivar</th>
<th align="center" valign="top">Overall preference</th>
</tr>
<tr>
<th align="left" valign="top">Criteria</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
<th align="center" valign="top">Mean &#x00B1; S. E.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Physiological</td>
<td align="center" valign="top">4.17&#x202F;&#x00B1;&#x202F;0.10<sup>d</sup></td>
<td align="center" valign="top">7.37&#x202F;&#x00B1;&#x202F;0.21<sup>e</sup></td>
<td align="center" valign="top">4.43&#x202F;&#x00B1;&#x202F;0.06<sup>b</sup></td>
<td align="center" valign="top">4.29&#x202F;&#x00B1;&#x202F;0.06<sup>d</sup></td>
<td align="center" valign="top">4.37&#x202F;&#x00B1;&#x202F;0.06<sup>d</sup></td>
<td align="center" valign="top">2.53&#x202F;&#x00B1;&#x202F;0.16<sup>b</sup></td>
<td align="center" valign="top">4.53&#x202F;&#x00B1;&#x202F;0.07<sup>d</sup></td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Medicinal</td>
<td align="center" valign="top">7.57&#x202F;&#x00B1;&#x202F;0.09<sup>g</sup></td>
<td align="center" valign="top">8.41&#x202F;&#x00B1;&#x202F;0.12<sup>f</sup></td>
<td align="center" valign="top">8.97&#x202F;&#x00B1;&#x202F;0.03<sup>e</sup></td>
<td align="center" valign="top">9.00&#x202F;&#x00B1;&#x202F;0.00<sup>h</sup></td>
<td align="center" valign="top">6.39&#x202F;&#x00B1;&#x202F;0.08<sup>e</sup></td>
<td align="center" valign="top">9.00&#x202F;&#x00B1;&#x202F;0.07<sup>h</sup></td>
<td align="center" valign="top">8.22&#x202F;&#x00B1;&#x202F;0.03<sup>h</sup></td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Adaptive advantage</td>
<td align="center" valign="top">7.03&#x202F;&#x00B1;&#x202F;0.11<sup>f</sup></td>
<td align="center" valign="top">1.93&#x202F;&#x00B1;&#x202F;0.04<sup>b</sup></td>
<td align="center" valign="top">2.17&#x202F;&#x00B1;&#x202F;0.01<sup>a</sup></td>
<td align="center" valign="top">3.03&#x202F;&#x00B1;&#x202F;0.03<sup>c</sup></td>
<td align="center" valign="top">3.29&#x202F;&#x00B1;&#x202F;0.19<sup>c</sup></td>
<td align="center" valign="top">9.84&#x202F;&#x00B1;&#x202F;0.04<sup>i</sup></td>
<td align="center" valign="top">4.55&#x202F;&#x00B1;&#x202F;0.04<sup>d</sup></td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Commercial</td>
<td align="center" valign="top">1.68&#x202F;&#x00B1;&#x202F;0.08<sup>a</sup></td>
<td align="center" valign="top">9.00&#x202F;&#x00B1;&#x202F;0.15<sup>g</sup></td>
<td align="center" valign="top">4.21&#x202F;&#x00B1;&#x202F;0.13<sup>b</sup></td>
<td align="center" valign="top">4.72&#x202F;&#x00B1;&#x202F;0.07<sup>e</sup></td>
<td align="center" valign="top">1.80&#x202F;&#x00B1;&#x202F;0.09<sup>a</sup></td>
<td align="center" valign="top">1.40&#x202F;&#x00B1;&#x202F;0.06<sup>a</sup></td>
<td align="center" valign="top">3.80&#x202F;&#x00B1;&#x202F;0.05<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Social</td>
<td align="center" valign="top">4.45&#x202F;&#x00B1;&#x202F;0.17<sup>d</sup></td>
<td align="center" valign="top">4.47&#x202F;&#x00B1;&#x202F;0.06<sup>d</sup></td>
<td align="center" valign="top">2.05&#x202F;&#x00B1;&#x202F;0.12<sup>a</sup></td>
<td align="center" valign="top">7.53&#x202F;&#x00B1;&#x202F;0.06<sup>g</sup></td>
<td align="center" valign="top">6.75&#x202F;&#x00B1;&#x202F;0.05<sup>f</sup></td>
<td align="center" valign="top">3.07&#x202F;&#x00B1;&#x202F;0.12<sup>c</sup></td>
<td align="center" valign="top">4.72&#x202F;&#x00B1;&#x202F;0.04<sup>e</sup></td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top">Cultural</td>
<td align="center" valign="top">2.16&#x202F;&#x00B1;&#x202F;0.12<sup>b</sup></td>
<td align="center" valign="top">4.49&#x202F;&#x00B1;&#x202F;0.07<sup>d</sup></td>
<td align="center" valign="top">2.15&#x202F;&#x00B1;&#x202F;0.10<sup>a</sup></td>
<td align="center" valign="top">5.97&#x202F;&#x00B1;&#x202F;0.03<sup>f</sup></td>
<td align="center" valign="top">3.16&#x202F;&#x00B1;&#x202F;0.15<sup>c</sup></td>
<td align="center" valign="top">7.00&#x202F;&#x00B1;&#x202F;0.00 <sup>f</sup></td>
<td align="center" valign="top">4.16&#x202F;&#x00B1;&#x202F;0.03<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top">Mystic religious</td>
<td align="center" valign="top">6.08&#x202F;&#x00B1;&#x202F;0.08<sup>e</sup></td>
<td align="center" valign="top">7.21&#x202F;&#x00B1;&#x202F;0.09<sup>e</sup></td>
<td align="center" valign="top">7.01&#x202F;&#x00B1;&#x202F;0.01<sup>d</sup></td>
<td align="center" valign="top">7.44&#x202F;&#x00B1;&#x202F;0.06<sup>g</sup></td>
<td align="center" valign="top">7.80&#x202F;&#x00B1;&#x202F;0.09<sup>g</sup></td>
<td align="center" valign="top">8.16&#x202F;&#x00B1;&#x202F;0.04<sup>g</sup></td>
<td align="center" valign="top">7.28&#x202F;&#x00B1;&#x202F;0.03<sup>g</sup></td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="left" valign="top">Agronomic benefit</td>
<td align="center" valign="top">9.39&#x202F;&#x00B1;&#x202F;0.07<sup>h</sup></td>
<td align="center" valign="top">1.12&#x202F;&#x00B1;&#x202F;0.04<sup>a</sup></td>
<td align="center" valign="top">8.74&#x202F;&#x00B1;&#x202F;0.11<sup>e</sup></td>
<td align="center" valign="top">1.00&#x202F;&#x00B1;&#x202F;0.00<sup>a</sup></td>
<td align="center" valign="top">9.16&#x202F;&#x00B1;&#x202F;0.06<sup>h</sup></td>
<td align="center" valign="top">5.64 &#x00B1; 0.06<sup>e</sup></td>
<td align="center" valign="top">5.84&#x202F;&#x00B1;&#x202F;0.03<sup>f</sup></td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="left" valign="top">Food and culinary</td>
<td align="center" valign="top">2.89&#x202F;&#x00B1;&#x202F;0.14<sup>c</sup></td>
<td align="center" valign="top">2.99&#x202F;&#x00B1;&#x202F;0.01<sup>c</sup></td>
<td align="center" valign="top">5.99&#x202F;&#x00B1;&#x202F;0.11<sup>c</sup></td>
<td align="center" valign="top">2.01&#x202F;&#x00B1;&#x202F;0.01<sup>b</sup></td>
<td align="center" valign="top">2.40&#x202F;&#x00B1;&#x202F;0.12<sup>b</sup></td>
<td align="center" valign="top">5.37 &#x00B1; 0.06<sup>d</sup></td>
<td align="center" valign="top">3.61&#x202F;&#x00B1;&#x202F;0.03<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="left" valign="top">Easy to harvest and thresh</td>
<td align="center" valign="top">9.56&#x202F;&#x00B1;&#x202F;0.06<sup>h</sup></td>
<td align="center" valign="top">8.00&#x202F;&#x00B1;&#x202F;0.15<sup>h</sup></td>
<td align="center" valign="top">9.25&#x202F;&#x00B1;&#x202F;0.11<sup>f</sup></td>
<td align="center" valign="top">10. 00&#x202F;&#x00B1;&#x202F;0.00<sup>i</sup></td>
<td align="center" valign="top">9.80&#x202F;&#x00B1;&#x202F;0.05<sup>i</sup></td>
<td align="center" valign="top">3.00&#x202F;&#x00B1;&#x202F;0.00<sup>c</sup></td>
<td align="center" valign="top">8.27&#x202F;&#x00B1;&#x202F;0.04<sup>h</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean with different superscripts in column differ significantly at a 5% level of significance. Multiple comparisons were based on Duncan Multiple Range Test (DMRT).</p>
</table-wrap-foot>
</table-wrap>
<p>In Eastern Odisha, paddy landrace <italic>Kalajeera</italic> was most preferred due to its commercial value in the market chain and the initiatives of Odisha Rural Development and Marketing Society (ORMAS), which have created a high demand for <italic>Kalajeera</italic> in the state and even the national market. <italic>Kalajeera</italic> rice, which is also known as the &#x201C;Prince of Rice&#x201D; is an aromatic landrace of rice with a unique black cumin-like appearance. With the assistance of ORMAS and the district administration of Koraput, <italic>Kalajeera</italic> rice from Macchra village is being marketed and sold in New Delhi. Additionally, it is packaged and available for purchase in local retail stores with retail price going up to Rs 300 per kg. Due to this, the landraces that used to be grown by a few custodian farmers in Machhara village have passed on to other villages because of the consumer demand, higher prices in the market and scope for value addition and processing. The second most preferred criterion was its cultural significance in the farming community. <italic>Kalajeera</italic> has been cultivated in Koraput from time immemorial due to its unique aroma and taste and significance in various festivals, where dishes from <italic>Kalajeera</italic> rice were being prepared. Hence, the second and third most preferred criteria for cultivating <italic>Kalajeera</italic> were cultural significance and food and culinary habits, respectively. Similarly, by efforts of MSSRF, Jeypore and ORMAS, systematic indigenous practices were performed both in <italic>Kalajeera</italic> and <italic>Umuriachundi,</italic> leading to their higher yield and easy processing of paddy and high demand in local, state and national markets. Hence, <italic>Umuriachundi</italic> cultivation was growing too due to its commercial value created by the efforts of external agencies. The quality of pop rice made from <italic>Umuriachundi</italic> also fetched good prices in the retail market and was preferred as an evening snack at home. The rice is also used in the <italic>Chaita Parva Purab</italic> festival, a three-day religious festival of the tribes of Koraput. Therefore, the second and third preferred criteria were food culinary preference and cultural value of the landrace. <italic>Para Dhan</italic> and <italic>Dangarbasumati</italic> were most preferred for their agronomic benefits in the field. <italic>Para dhan</italic> has weed suppressor properties while growing on the field and was also disease and pest-resistant, hence the two most preferred criteria were agronomic benefits (weed suppressing) and adaptive advantage (resistant to disease and pest. It is also preferred for the food and culinary habits of households, as the rice is suitable for making rice flakes. <italic>Dangarbasumati</italic> is known for its hardy nature (agronomic benefits) and natural resistance to insects and pests (adaptive advantage). The rice itself is soft and aromatic, making it ideal for preparing special dishes. The landrace of <italic>Sapuri</italic> was cultivated for various reasons. It was historically gifted to brides during weddings, symbolizing social status. Additionally, it is well-suited for producing popped rice during marriage ceremonies. The market demand for the <italic>Sapuri</italic> landrace surges during the wedding season due to these cultural practices. Moreover, <italic>Sapuri</italic> is known for its resistance to lodging. Consequently, social value, cultural value, and adaptive advantage emerged as the most favoured criteria for its cultivation. In modern cultivars, the most preferred criterion was the commercial value in the market, and the second one was their higher yield, but the input cost for cultivating these varieties is higher. Overall, the most favoured criteria for conserving landraces were food and culinary preference, closely followed by the commercial value in local and state markets. This highlights the intricate interplay of economic, cultural, and practical considerations in guiding custodian farmers&#x2019; choices for preserving these diverse landraces, as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Farmers&#x2019; criteria for prioritization and conservation of paddy landraces in eastern Odisha (overall preference).</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Boxplot chart displaying overall preferences for ten criteria on the y-axis, including Agronomic benefit, Mystic religious, Easy in harvesting, Medicinal, Commercial, Food and Culinary, Social, Adaptive Advantage, Physiological, and Cultural, each labeled a to h. Median values and outlier numbers are visible for several categories.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec18">
<label>3.5</label>
<title>Factors affecting the economic significance of landraces in Odisha</title>
<p>A total of 48.33% of custodian farmers grew landraces with a high level of economic significance. Approximately 30.67% of custodian farmers cultivated landraces with a medium level of economic significance. The remaining 21% of custodian farmers grew landraces with a low level of economic significance. The mean AddValQS for these landraces was 14.49, with a standard deviation of 6.65. AddValQS scores range from 3 to 26. In the economic analysis of landraces in western Odisha, it was observed that the majority of custodian farmers who cultivated these landraces exhibited a high level of economic significance (<xref ref-type="table" rid="tab12">Table 12</xref>). This observation strongly indicated that these landraces held substantial economic and commercial value in the region. The average mean score for these landraces was notably high, and the range extended up to 26, with a maximum score of 27. This wide range of scores implied that these landraces found their place in both local and state markets. Specifically, landraces like <italic>Kalabati</italic> and <italic>Kusumkali</italic> in Western Odisha had gained recognition and protection under the Plant Varieties and Farmers&#x2019; Rights (PPVFR) Act. Furthermore, the value-added products derived from these landraces had a market presence, indicating that there was a demand for these products among consumers. Notably, black rice, a popular landrace, was directly sold in the retail market, further underlining its economic significance. These findings collectively illustrated the substantial economic value and market potential of landraces in western Odisha. The results indicated that the Added Value Quantitative Score (AddValQS) of landraces tended to increase when the primary use of the landrace was intended for the market. This suggests that landraces primarily cultivated for self-supply were less likely to attain higher levels of economic significance. In contrast, landraces geared towards commercial markets exhibited greater economic value (<xref ref-type="table" rid="tab10">Table 10</xref>). It is worth noting that formal seed banks like the Anubhav seed bank in Kattipali village and Baghdihi, along with formal NGOs such as Abhinav Krishi in Bargarh, Odisha, played a significant role in driving these promotional initiatives. Their organized efforts contributed to the increased economic significance and market presence of the landraces under consideration.</p>
<table-wrap position="float" id="tab12">
<label>Table 12</label>
<caption>
<p>Classification of economic significance of landraces based on AddValQS among custodian farmers in Western and Eastern Odisha (<italic>N</italic>&#x202F;=&#x202F;75 each).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">Economic significance</th>
<th align="center" valign="top">% of custodian farmers</th>
<th align="center" valign="top">AddValQS range</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Western Odisha</td>
<td align="left" valign="top">High</td>
<td align="center" valign="top">48.33%</td>
<td align="center" valign="top">&#x2265;21.14 (14.49&#x202F;+&#x202F;6.65)</td>
</tr>
<tr>
<td align="left" valign="top">Medium</td>
<td align="center" valign="top">30.67%</td>
<td align="center" valign="top">&#x2248; 14.49</td>
</tr>
<tr>
<td align="left" valign="top">Low</td>
<td align="center" valign="top">21.00%</td>
<td align="center" valign="top">&#x2264;7.84 (14.49&#x2013;6.65)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Eastern Odisha</td>
<td align="left" valign="top">High</td>
<td align="center" valign="top">49.34%</td>
<td align="center" valign="top">&#x2265;22.92 (16.95&#x202F;+&#x202F;5.97)</td>
</tr>
<tr>
<td align="left" valign="top">Medium</td>
<td align="center" valign="top">45.33%</td>
<td align="center" valign="top">&#x2248; 16.95</td>
</tr>
<tr>
<td align="left" valign="top">Low</td>
<td align="center" valign="top">5.33%</td>
<td align="center" valign="top">&#x2264;10.98 (16.95&#x2013;5.97)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In Eastern Odisha, 49.34% of custodian farmers were found to be cultivating landraces with a high level of economic significance. 45.33%, cultivated landraces with a medium level of economic significance. A smaller proportion, 5.33% of custodian farmers, focused on landraces with a low level of economic significance. These landraces showed an average AddValQS of 16.95, with a relatively low standard deviation of 5.97 (<xref ref-type="table" rid="tab12">Table 12</xref>). Among these paddy landraces of Koraput (Eastern Odisha), varieties such as <italic>Kalajeera, Machhakanta, Haldichudi, Umuriachundi</italic>, and <italic>Sapuri</italic> were particularly in high demand within the market. Additionally, value-added products derived from <italic>Machhakanta</italic> and <italic>Haldichudi</italic> were successfully marketed under local farmer labels, with support provided by ORMAS (Odisha Rural Development and Marketing Society). This evidence suggested that these landraces held substantial economic value and commercial appeal. Their popularity and market success could be attributed to external support systems, such as ORMAS, which facilitated the marketing and promotion of these landraces and their related products. The variable &#x201C;Use&#x201D; and the variable &#x201C;Multiplication Actor&#x201D; were found to be statistically significant (<italic>p</italic>&#x202F;=&#x202F;0.000). In particular, the Added Value Quantitative Score (AddValQS) of landraces increases when the use of the landrace was mainly intended for the market, meaning that it was rather difficult for a landrace used for self-supply to hold a geographical or a commercial label, or to have a higher economic significance (<xref ref-type="table" rid="tab10">Table 10</xref>). These organized groups were actively involved in multiplying seeds, utilizing diversity blocks, and establishing demonstration plots within designated areas allocated for community cultivation under the seed bank.</p>
<p>The economic significance (AddValQS) of landraces reflected in <xref ref-type="fig" rid="fig6">Figure 6</xref> can be explained by region-specific socio-economic and institutional dynamics. The strong negative effect of Use in both regions, particularly in Western Odisha, highlights a subsistence&#x2013;market trade-off: landraces primarily retained for household consumption reduce marketable surplus and opportunities for value addition, thereby lowering economic value scores. The divergent effect of Promotion reflects differences in market maturity and institutional support. In Western Odisha, promotional efforts are largely conservation-oriented and have yet to translate into measurable economic gains, resulting in a negative association. In contrast, in Eastern Odisha, structured promotion by institutions such as MSSRF, along with GI recognition for landraces like <italic>Kalajeera</italic>, enhances market visibility and demand, leading to a positive effect on economic value. The effect of Multiplication Actor underscores the importance of local control over seed systems. In Eastern Odisha, increased involvement of external actors in seed multiplication may dilute household-level economic benefits, producing a negative effect, whereas in Western Odisha, community-based seed banks focused on conservation rather than commercialization exert a neutral influence on AddValQS. Other socio-economic variables exhibit limited or inconsistent effects, as the economic value of landraces is shaped more by niche markets, institutional recognition (e.g., PPVFR protection), and value-chain integration than by conventional farmer characteristics.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Factors affecting economic significance of landraces (western v/s eastern Odisha).</p>
</caption>
<graphic xlink:href="fsufs-10-1769950-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Scatter plot with error bars comparing regression coefficients for factors affecting the economic significance of landraces in Western and Eastern Odisha across five categories: Formal Plan, Multiplication Actor, Promotion, Use, and Marginal Area.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<label>3.6</label>
<title>Limitation of the study</title>
<p>Farmer-reported data may be influenced by recall bias, subjective experience, and contextual variability, and therefore cannot fully substitute for controlled experimental trials. These limitations are acknowledged and were mitigated through pilot testing of instruments, triangulation across multiple data sources (custodian farmers, institutions, literature), and the use of statistical validation techniques to reduce subjectivity. Importantly, perception-based methods are treated not as proxies for experimental agronomy but as complementary evidence essential for understanding decision-making, adoption behaviour, and the socio-ecological rationale underlying landrace conservation. While a comprehensive statistical validation of agronomic traits using multivariate techniques (e.g., Principal Component Analysis) was undertaken as part of the larger study, the detailed results are not presented in this paper due to constraints of scope and the need to maintain thematic focus. Instead, this manuscript emphasizes farmer-perceived agronomic performance, which reflects real-world, on-farm outcomes and aligns with the study&#x2019;s primary objectives of documenting landraces and analysing their socio-cultural and economic significance.</p>
</sec>
<sec id="sec20">
<label>3.7</label>
<title>Implication of the study</title>
<p>Given that paddy is a staple crop across India and traditional rice landraces persist in many states, the Odisha model-linking landrace characterization with economic valuation and value addition offers a transferable framework. Other states can adapt this approach by identifying region-specific landraces and integrating them into local agro-processing, nutrition, and sustainable farming initiatives. Understanding custodian farmers&#x2019; prioritization criteria enables extension agencies to promote landraces with high ecological adaptability and socio-economic value through targeted interventions, including training on post-harvest processing, branding, and quality standards. Tools such as AddValQS demonstrate how marketability, processing potential, and cultural demand can enhance conservation sustainability by reducing custodian farmers&#x2019; opportunity costs, thereby reinforcing the integration of biodiversity conservation with rural enterprise development.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec21">
<label>4</label>
<title>Conclusion</title>
<p>Overall, the findings underscore the multi-dimensional decision-making processes of custodian farmers, where ecological adaptability and market compatibility serve as primary filters for landrace conservation and use. These preferences reflect a blend of traditional knowledge, economic rationality, and agro-ecological context. The analysis revealed clear spatial variation in the extent and distribution of paddy landraces across Odisha. While some landraces enjoy wider popularity and cultivation (e.g., <italic>Kalajeera</italic>, <italic>Kalabati</italic>), many are on the verge of extinction due to limited household involvement and shrinking cultivation areas. The classification into rare, intermediate, and common varieties helps identify priority landraces for conservation and targeted promotion to enhance on-farm agrobiodiversity.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec22">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec23">
<title>Ethics statement</title>
<p>Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec24">
<title>Author contributions</title>
<p>PY: Visualization, Data curation, Software, Formal analysis, Writing &#x2013; review &#x0026; editing, Conceptualization, Writing &#x2013; original draft, Methodology. RP: Writing &#x2013; original draft, Investigation, Conceptualization, Validation, Supervision, Writing &#x2013; review &#x0026; editing. RB: Writing &#x2013; review &#x0026; editing, Conceptualization, Software, Supervision, Writing &#x2013; original draft. SS: Formal analysis, Writing &#x2013; review &#x0026; editing, Software, Validation. AB: Conceptualization, Formal analysis, Validation, Writing &#x2013; review &#x0026; editing, Software. RY: Writing &#x2013; review &#x0026; editing, Conceptualization, Supervision. SK: Writing &#x2013; review &#x0026; editing. KS: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. SR: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. SG: Validation, Writing &#x2013; review &#x0026; editing, Formal analysis. SP: Writing &#x2013; review &#x0026; editing, Validation. RS: Validation, Writing &#x2013; review &#x0026; editing, Supervision. AS: Validation, Writing &#x2013; review &#x0026; editing. SY: Writing &#x2013; review &#x0026; editing, Validation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors sincerely acknowledge Shri Sudam Sahoo, Head of the Desi Bihan Surakhya Samiti (DBSS), and the MSSRF&#x2013;Biju Patnaik Agrobiodiversity Centre, Jeypore, Koraput, Odisha, for their guidance and institutional support during the study. The authors are also deeply grateful to all the custodian farmers who participated in the study for generously sharing their time, knowledge, and experiences.</p>
</ack>
<sec sec-type="COI-statement" id="sec25">
<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 sec-type="ai-statement" id="sec26">
<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 sec-type="disclaimer" id="sec27">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/749028/overview">Olutosin Ademola Otekunrin</ext-link>, University of Ibadan, Nigeria</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2783848/overview">Parvathy G. Nair</ext-link>, Central Council for Research in Ayurvedic Science, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3167296/overview">Vicky Yadav</ext-link>, Banaras Hindu University, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3337471/overview">Yohanes Purwanto</ext-link>, National Research and Innovation Agency (BRIN), Indonesia</p>
</fn>
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