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<journal-id journal-id-type="publisher-id">Front. Sociol.</journal-id>
<journal-title>Frontiers in Sociology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sociol.</abbrev-journal-title>
<issn pub-type="epub">2297-7775</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fsoc.2025.1656780</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sociology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The unsung women of citriculture: bridging science and society through macro and micro analysis for improved technology adoption in citrus value chain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bhattacharyya</surname>
<given-names>Sangeeta</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lal</surname>
<given-names>Deepa</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Roy</surname>
<given-names>Arnab</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lal</surname>
<given-names>Priyanka</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Roy</surname>
<given-names>Pinaki</given-names>
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<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Sikdar</surname>
<given-names>Samrat</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn1201"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Dutta</surname>
<given-names>Suchandra</given-names>
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<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<name>
<surname>Bardhan</surname>
<given-names>Tannishtha</given-names>
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<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Agricultural Extension, ICAR-Central Citrus Research Institute</institution>, <addr-line>Nagpur, Maharashtra</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Horticulture, Krishi Vigyan Kendra, ICAR- Central Institute for Cotton Research</institution>, <addr-line>Nagpur, Maharashtra</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>Agricultural Economics, ICAR-Indian Agricultural Statistics Research Institute</institution>, <addr-line>New Delhi</addr-line>, <country>India</country></aff>
<aff id="aff4"><sup>4</sup><institution>Agricultural Economics, ICAR-Indian Institute of Pulses Research</institution>, <addr-line>Kanpur, Uttar Pradesh</addr-line>, <country>India</country></aff>
<aff id="aff5"><sup>5</sup><institution>Krishi Vigyan Kendra</institution>, <addr-line>Sitamarhi, Bihar</addr-line>, <country>India</country></aff>
<aff id="aff6"><sup>6</sup><institution>School of Human Sciences, College of Agriculture and Life Sciences, Mississippi State University</institution>, <addr-line>Starkville, MS</addr-line>, <country>United States</country></aff>
<aff id="aff7"><sup>7</sup><institution>Faculty of Agriculture and Rural Development, Ramakrishna Mission Vivekananda Educational Research Institute</institution>, <addr-line>Kolkata, West Bengal</addr-line>, <country>India</country></aff>
<aff id="aff8"><sup>8</sup><institution>International Cooperation Division, Ministry of Agriculture and Farmers&#x2019; Welfare</institution>, <addr-line>New Delhi</addr-line>, <country>India</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1662762/overview">Eileen Bogweh Nchanji</ext-link>, International Center for Tropical Agriculture, Kenya</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2144997/overview">Hari Harjanto Setiawan</ext-link>, National Research and Innovation Agency (BRIN), Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3143282/overview">Sheela Immanuel</ext-link>, Central Tuber Crops Research Institute (ICAR), India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Sangeeta Bhattacharyya, <email>sangeeta.bhattacharyya2012@gmail.com</email></corresp>
<fn fn-type="other" id="fn0001"><p><sup>&#x2020;</sup>ORCID ID: Sangeeta Bhattacharyya, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-8585-6390">orcid.org/0000-0001-8585-6390</ext-link></p></fn>
<fn fn-type="other" id="fn1201"><p>Samrat Sikdar, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-9206-9053">orcid.org/0000-0001-9206-9053</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>10</volume>
<elocation-id>1656780</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Bhattacharyya, Lal, Roy, Lal, Roy, Sikdar, Dutta and Bardhan.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Bhattacharyya, Lal, Roy, Lal, Roy, Sikdar, Dutta and Bardhan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1001">
<title>Introduction</title>
<p>Women constitute 43% of the global agricultural workforce, and remain largely undocumented in several sectors, especially citrus farming (citriculture). Although citrus fruits are cultivated commercially in more than 150 countries, significant gender disparities exist in citriculture, such as women facing drudgery, lack of access to resources, advisories, technical information, and opportunities for capacity development.</p>
</sec>
<sec id="sec2001">
<title>Methods</title>
<p>In this study, the quantum of documentation done in &#x201C;science&#x201D; on &#x201C;women in citriculture&#x201D; was analyzed through &#x201C;macroanalysis&#x201D; whereby bibliographic assessment and systematic review of literature of 306 articles ranging from 1929 to 2024 available in &#x201C;gender and citrus farming&#x201D; from 35 major citrus producing countries was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and Rayyan Qatar Computing Research Institute (QCRI). A cross-country visualization of gender disparities affecting agricultural technology adoption by women farmers was also done. For validating the findings with &#x201C;society,&#x201D; a &#x201C;microanalysis&#x201D; based on the theoretical grounding of Kabeer&#x2019;s empowerment framework was conducted by interviewing 300 women citrus growers of Nagpur, India, on three dimensions of empowerment, namely, resources, agency, and achievements in the context of technology adoption.</p>
</sec>
<sec id="sec3001">
<title>Results</title>
<p>The macroanalysis revealed 10 major gender disparities of 3 categories on a longitudinal and cross-sectional scale. Only 20% of respondents had a high Technology Adoption Score (4&#x2013;6). Furthermore, respondents with sound technical know-how of citriculture were found to face lesser degrees of socio-personal gender disparities (<italic>t</italic>-value = 2.02, significant at the 0.05 level) than those who lacked technical knowledge.</p>
</sec>
<sec id="sec4001">
<title>Discussion</title>
<p>Systematic strategies for women empowerment, based on Gender Transformative (GT) approaches, were outlined through macroanalysis. These strategies aim to enhance the impact of agricultural technologies, improve livelihoods, and promote sustainable citriculture and social development in line with the achievement of Sustainable Development Goals at microlevel. Developmental Goals achievement of Sustainable Development Goals at microlevel.</p>
</sec>
</abstract>
<kwd-group>
<kwd>women</kwd>
<kwd>citrus value chain</kwd>
<kwd>sustainable citriculture</kwd>
<kwd>gender gap</kwd>
<kwd>science and society</kwd>
<kwd>macro and microanalysis</kwd>
<kwd>technology gap</kwd>
<kwd>women empowerment strategies</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="17"/>
<word-count count="10862"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gender, Sex and Sexualities</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>The world population is expected to reach 9.1 billion by 2050, necessitating a 70% increase in overall food production (<xref ref-type="bibr" rid="ref14">FAO, 2009</xref>) to feed the teeming billions. This challenge rests on the shoulders of the global farming community. Agricultural development and above all the empowerment of &#x201C;primary food producers&#x201D; or the &#x201C;farmers&#x201D;; need to be the topmost priority of nations. At the same time, the global agricultural system suffers from a lack of quality scientific data to evaluate the effectiveness of existing commitments or policies, or to use as a basis for decisions on marketing, investments, or policies (<xref ref-type="bibr" rid="ref55">World Bank, 2010</xref>). In other words, the agricultural &#x201C;science&#x201D; is suffering due to the inadequacy of documentation.</p>
<p>In the already persistent data void, the cornerstone of the global farming community, that is, the &#x201C;women in agriculture,&#x201D; remain as &#x201C;invisible farmers&#x201D; even to date (<xref ref-type="bibr" rid="ref53">Velde et al., 2020</xref>). Women constitute 43% of the global agricultural labor force, even after owning less than 15% of the land (<xref ref-type="bibr" rid="ref5">Babu and Gajanan, 2022</xref>). Women also face discrimination in livestock ownership, equal pay, decision-making, access to credit and financial services, with additional labor of caregiving in the farm household. Her labor remains largely unacknowledged, considered unimportant, ignored, and, most of the time, undocumented. In this backdrop, the one sector of horticulture where women&#x2019;s role remains largely &#x201C;untold&#x201D; or undocumented is perennial fruit farming, in which citrus is a major fruit crop cultivated widely across several nations of the world. Citrus fruits are cultivated commercially in more than 150 countries of the world and rank second in production in the world, accounting for 161.8 million tons produced in more than 10.2 million hectares in 2021 (<xref ref-type="bibr" rid="ref18">Gonzatto and Santos, 2023</xref>).</p>
<sec id="sec2">
<title>Women in citriculture: the unsung in citrus science</title>
<p>In citrus cultivation, or &#x201C;Citriculture,&#x201D; women have long been associated with citrus production, processing, packaging, and marketing. The citrus industry (pre- and post-production and marketing) provides livelihood to a significant number of women workforce all over the world. However, there is no aggregated data available on the number of women&#x2019;s engagements. Since the 1890s, women have comprised the majority of packing house labor in California (<xref ref-type="bibr" rid="ref28">Maier, 2024</xref>). In India, which is the third largest citrus producer in the world, the participation of women was more in the marketing of lemon than in production and decision-making aspects (<xref ref-type="bibr" rid="ref47">Sahu et al., 2018</xref>). There are significant gender disparities in citrus farming globally, with women facing drudgery, pay disparity, lack of access to land ownership, resources, critical inputs, technical information, and opportunities for capacity development. However, a simple search on the internet can reveal the glaring inadequacy of scientific literature, statistical databases, documents, books, or anything written on the topic of &#x201C;women in citriculture&#x201D; across the world to date.</p>
</sec>
<sec id="sec3">
<title>Conceptual and theoretical framework</title>
<p>The inadequacy of scientific research on women in citriculture made the authors conceptualize this study to assess the quantity of research and documentation (science) that has actually been done on women in citriculture, to date, across the globe using the &#x201C;macro&#x201D; level (longitudinal and cross-sectional research) research approach (<ext-link xlink:href="https://saylordotorg.github.io/text_principles-of-sociological-inquiry-qualitative-and-quantitative-methods/s05-01-micro-meso-and-macro-approache.html" ext-link-type="uri">https://saylordotorg.github.io/text_principles-of-sociological-inquiry-qualitative-and-quantitative-methods/s05-01-micro-meso-and-macro-approache.html</ext-link>) (<xref ref-type="bibr" rid="ref17">github, n.d.</xref>). To statistically analyze the data available in public domain related to involvement of women in citrus value chain, a descriptive analysis of bibliographical data, systematic review was done and gender disparities enlisted. The study aimed to identify the gender disparities that affect citrus-based technology adoption by women farmers. For validation of macro findings, the &#x201C;microlevel&#x201D; research approach (<ext-link xlink:href="https://saylordotorg.github.io/" ext-link-type="uri">https://saylordotorg.github.io/</ext-link>) (<xref ref-type="bibr" rid="ref17">github, n.d.</xref>) was adopted to rank the enlisted gender disparities by women citrus growers of Nagpur district of Maharashtra, India, in August 2024. The effect of gender disparities on citrus-based technology adoption by women farmers was then studied in a microanalysis as well. The Gender Transformative (GT) approaches were explored to bridge science and society at the community level. Thereafter, subtle strategies for women empowerment were outlined to improve technology adoption by women in citriculture.</p>
<p>For microanalysis, a theoretical framework was required to construct the data collection instrument. It is a well-known fact that, despite the critical roles women play across agricultural value chains, including citriculture, their access to resources, decision-making authority, and technical capacity remains disproportionately low (<xref ref-type="bibr" rid="ref10">Doss, 2018</xref>; <xref ref-type="bibr" rid="ref32">Meinzen-Dick et al., 2019</xref>). These structural inequalities not only limit women&#x2019;s productivity but also hinder broader development outcomes such as food security and sustainable farming practices. To analyze these gendered disparities in a structured and multidimensional way, the microanalysis section of this study derived its theoretical grounding from Kabeer&#x2019;s empowerment framework (<xref ref-type="bibr" rid="ref20">Kabeer, 1999</xref>). It stems from the understanding that women empowerment is about the process by which those who have been denied the ability to make strategic life choices acquire such an ability. According to <xref ref-type="bibr" rid="ref20">Kabeer (1999)</xref>, the ability to exercise choice incorporates three interrelated dimensions: resources (access and future claims to material, human, and social resources); agency (processes of decision-making); and achievements (wellbeing outcomes). Empowerment is the interrelationship of these three dimensions. Agency is central to empowerment, that is, how a choice is made and put into effect by women in a household; resources are the medium through which agency is exercised, and achievements are outcomes of the agency. Kabeer later emphasized that each of the three resources implied by the indicators&#x2014;access to education, access to paid work, and political representation&#x2014;is essential to achieving gender equality and women empowerment (<xref ref-type="bibr" rid="ref21">Kabeer, 2005</xref>). Drawing on the above theoretical ground, the microanalysis part of this study was formulated to explore the access of women in citriculture to resources like land holding, education, paid work (agricultural or non-agricultural) or unpaid labor; the agency which they command like control over farm and non-farm income, decision-making ability and authority in household, ease of technological adoption, technical knowledge of citrus farming/processing and their achievements like membership in Self-Help Groups (SHGs), contact with extension workers, participation in skill development programs on citrus farming/processing. The data from these dimensions would also reveal the extent of gender disparities that the women respondents were facing.</p>
<p>Thus, the study was conceptualized (<xref ref-type="fig" rid="fig1">Figure 1</xref>) to identify both through macro- and microanalysis, the gender disparities faced by women citrus farmers and processors, the technology adoption level of women respondents, the categories of disparities that influence their technology adoption, and accordingly outline women empowerment strategies for improved technology adoption in the citrus value chain.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Conceptual framework of the study.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating the process of researching gender disparities in citriculture and their effect on technology adoption. It includes macro analysis through PRISMA, ranking disparities with 300 women respondents, and identifying them through micro analysis using personal interviews. The model bridges science and society, focusing on empowering women to improve technology adoption within the citrus value chain.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="materials|methods" id="sec4">
<title>Materials and methods</title>
<sec id="sec5">
<title>Location of the study and sampling plan for microanalysis</title>
<p>For assessing the presence or status of &#x201C;women of citriculture&#x201D; in &#x201C;society,&#x201D; &#x201C;microlevel&#x201D; analysis was done. India is the third largest producer of citrus in the world and the largest producer of limes and lemons specifically (<xref ref-type="bibr" rid="ref9004">Ministry of Agriculture and Farmers Welfare, 2023</xref>). The globally renowned GI-tagged Nagpur mandarin (<italic>Citrus reticulata</italic> Blanco) is named after the Nagpur district of Maharashtra state, India. Accordingly, Nagpur (<xref ref-type="fig" rid="fig2">Figure 2</xref>) was purposively selected for conducting the microanalysis. A sample of 300 women (<italic>n</italic>&#x202F;=&#x202F;300) who were directly or indirectly engaged with citrus farming or processing (making value-added citrus products) and belonged to citrus farming households was selected purposively for the study from two geographical locations, namely, Beltarodi village of Nagpur Rural block of Nagpur district and Sonegaon village of Kalmeshwar block of Nagpur district. The respondents were members of various Self-Help Groups (SHGs) of Nagpur district. The concentration of SHGs is maximum in these two blocks; hence, purposive selection of respondents was done from SHGs of these two regions. Therefore, 150 respondents each from two locations were selected.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Location of microanalysis: Nagpur, India.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Map highlighting Maharashtra, India, with an inset showing its location within the country. The map details district boundaries, with a marked area near Nagpur labeled as the study area. A directional arrow is included.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec6">
<title>Research design and method of data collection for microanalysis</title>
<p>The <italic>ex post facto</italic> research design was followed. A semi-structured interview schedule was developed. The respondents were personally interviewed, and data were collected through Focus Group Discussions (FGDs).</p>
</sec>
<sec id="sec7">
<title>Interview schedule for microanalysis</title>
<p>The schedule (<xref ref-type="table" rid="tab1">Table 1</xref>) included questions about gender issues and their effect on technology adoption in citrus farming and processing among women perceived through the lens of Kabeer&#x2019;s empowerment framework. The content validity and construct validity of the questions/items were checked through a relevancy test during the development of the schedule. Content validity of this variable was ensured by incorporating questions/items about three dimensions of Kabeer&#x2019;s empowerment framework (<xref ref-type="bibr" rid="ref20">Kabeer, 1999</xref>, <xref ref-type="bibr" rid="ref21">2005</xref>). Construct validity was ensured through expert consultation. The questionnaire was sent to 100 experts in sociology, gender, and rural development. Out of 22 items, only 18 items had a relevancy score above 0.80. Hence, these 18 items (Parts I&#x2013;III) were included in the final schedule. The schedule was also pre-tested with non-sample respondents in a pilot study before final data collection.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Interview schedule for microanalysis: Gender disparities and technology adoption through the lens of Kabeer&#x2019;s empowerment framework.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Part I: Resources profile</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Name, age, address, and phone number</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Land holding in their own name (a. Yes; b. No)</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Size (in hectares (ha)) of citrus orchard (irrespective of its own name or not)</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Educational qualification</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Primary Engagement (a. Farming; b. Other job; c. Housewife)</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top">If your primary engagement is farming, does it involve unpaid or paid work?</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Part II: Agency profile</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">What activities are you involved in within the citrus value chain (farming/processing/marketing)?</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Do you have any say in your household in deciding which technology to adopt in the farming/processing of citrus? (a. Yes, I decide&#x202F;=&#x202F;3; b. We jointly decide with husband/father&#x202F;=&#x202F;2; c. I give inputs and my husband/father takes the final decision&#x202F;=&#x202F;1; d. My husband/father does not consult me&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Who has control over the farm or non-farm income of the household? (a. Yes, I have&#x202F;=&#x202F;3; b. We jointly have with husband/father&#x202F;=&#x202F;2; c. I partially have, but my husband/father takes the final decision&#x202F;=&#x202F;1; d. My husband/father does not allow me to control the income&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Who has control over your earnings from farm or non-farm activities? (a. Yes, I have&#x202F;=&#x202F;3; b. We jointly have with husband/father&#x202F;=&#x202F;2; c. I partially have, but my husband/father takes the final decision&#x202F;=&#x202F;1; d. My husband/father does not allow me to control the income&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Who makes major decisions on the healthcare, education, etc. of children or other family members? (a. Yes, I decide&#x202F;=&#x202F;3; b. We jointly decide with husband/father&#x202F;=&#x202F;2; c. I give inputs and my husband/father takes the final decision&#x202F;=&#x202F;1; d. My husband/father does not consult me&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top">Do you face domestic violence? (Yes&#x202F;=&#x202F;0; Sometimes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;2)</td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top">Are you free to move out of your house for necessary activities without seeking anyone&#x2019;s permission or depending on anyone? (Yes&#x202F;=&#x202F;0; Sometimes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;2)</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Part III: Achievements profile</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Do you think you have sound technical know-how of citrus farming/processing? (Yes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Do you have any access to extension or any kind of citrus advisory services? (Yes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Have you received any kind of skill development training from horticulture/agriculture institutes for your involvement in the citrus value chain? (Yes&#x202F;=&#x202F;1;s No&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Are you part of any Self-Help Group (SHG), Farmer Interest Group (FIG), Farmer Producer Organization (FPO), Farmer Producer Company (FPC)? (Yes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;0)</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Are you a representative/worker of any political party? (Yes&#x202F;=&#x202F;1; No&#x202F;=&#x202F;0)</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Part IV: Correlating macro- and microanalysis</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Rank the enlisted gender disparities (from most severe&#x202F;=&#x202F;1 to least severe&#x202F;=&#x202F;10) you face as a woman, which hinder your contribution to the citrus value chain?</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec8">
<title>Influence of gender gap on technology adoption gap</title>
<p>Questions 2 of Part II and questions 1&#x2013;3 of Part III of the interview schedules (<xref ref-type="table" rid="tab1">Table 1</xref>) were designed to tap the decision-making power or role of women in citrus-based technology adoption. If a respondent scores maximum in all three questions, she will score 6. The respondents were then classified into categories according to their obtained Technology Adoption Scores. The analysis was done to reveal the influence of the gender gap on the technology adoption gap in citrus.</p>
</sec>
<sec id="sec9">
<title>Search strategy for macroanalysis</title>
<p>For &#x201C;macrolevel&#x201D; analysis, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to review the scientific literature available on &#x201C;women in citriculture&#x201D; (<xref ref-type="bibr" rid="ref26">Liberati et al., 2009</xref>). An exhaustive literature search was conducted of all peer-reviewed literature that focused on women and gender dimensions of the citrus industry across the world. That included all studies published until 30 June 2024 using a combination of search terms given in <xref ref-type="table" rid="tab2">Table 2</xref>. Seven electronic platforms&#x2014;ISS Web of Science, Scopus, EconLit, JSTOR, Science Direct, and EBSCO&#x2014;were searched. Separate searches were conducted manually on other platforms such as Google Scholar, AgEcon and repositories of organizations such as the Consultative Group on International Agriculture Research (CGIAR), United Nations Food and Agriculture Organization (FAO), World Bank, International Food Policy Research Institute (IFPRI), International Fund for Agricultural Development (IFAD) and Indian Council of Agricultural Research (ICAR) which are closely linked with global and Indian agriculture. A Boolean search approach was followed for searching the databases by combining all the search terms and phrases in a group with the &#x201C;OR&#x201D; operator and the entire search groups with &#x201C;AND&#x201D; operator. As per the requirements of the database, the search query was adjusted. After the search process, the citations were fed into Rayyan QCRI, a web and mobile application that supports the initial screening of abstracts and titles through semi-automation.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Electronic database search terms for gender disparities in citriculture.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Theme</th>
<th align="left" valign="top">Search terms</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Citrus</td>
<td align="left" valign="top">Citrus, lemon, mandarin, orange, and lime</td>
</tr>
<tr>
<td align="left" valign="top">Women and gender</td>
<td align="left" valign="top">Women, women farmers, smallholder farmers, women in gender, women in agriculture, agricultural activity, women&#x2019;s time, time use, the role of women, empowerment of women, level of participation of women, gender gaps, and gender dynamics</td>
</tr>
<tr>
<td align="left" valign="top">Location</td>
<td align="left" valign="top">Any country</td>
</tr>
<tr>
<td align="left" valign="top">Thematic area</td>
<td align="left" valign="top">Agriculture</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<title>Inclusion criteria for macroanalysis</title>
<p>The search resulted in 376 articles. After removing duplicates, a total of 306 articles were included in the descriptive analysis. A significant number of other publication types were also found. Hence, for the systematic review, a total of 193 journal articles that had the keywords of &#x201C;citrus&#x201D; and &#x201C;women.&#x201D; or &#x201C;gender&#x201D; were initially included. However, after further screening of the country-wise articles, it was found that only 14 countries had published more than one research article in journals based on the above-mentioned keywords. The final result was 67 articles from 14 countries dated between 1970 and 2024 composed of keywords, namely, citrus, women, and gender, were subjected to systematic full text review (<xref ref-type="fig" rid="fig3">Figure 3</xref>) for identification/enlisting of gender gaps in the global citrus sector and possible strategies to bridge the gender gaps. Only countries with multiple research articles were selected to maximize the scope of the systematic review, ensuring the accurate assessment of women&#x2019;s involvement in these countries.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Flowchart of macroanalysis.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting a systematic review process on articles about women and citriculture. Starts from electronic databases guided by PRISMA guidelines, yielding 376 articles. After duplicate removal, 306 articles remain. These undergo descriptive analysis, leaving 193 journal articles after removing non-research papers. A country-wise screening results in 67 articles from 14 countries being systematically reviewed.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<title>Cross-country visualization of gender gap influencing technology gap</title>
<p>The similar methodology of PRISMA was adopted for conducting a systematic review of research studies conducted across the world on the theme of gender gaps affecting agricultural technology adoption by women farmers. As specific studies on citricultural technology adoption by women were not available, studies about agricultural technology adoption were included. As the first systematic review pertained only to gender disparities faced by women in citriculture, the second systematic review (<xref ref-type="table" rid="tab3">Table 3</xref>) on gender gaps influencing the technology gap was deemed essential to capture a glimpse of how gender issues hinder technology adoption in agriculture as a whole.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Electronic database search terms for gender gaps influencing technology adoption in agriculture.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Theme</th>
<th align="left" valign="top">Search terms</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Women and gender</td>
<td align="left" valign="top">Women, women farmers, smallholder farmers, women in gender, women in agriculture, agricultural activity, women&#x2019;s time, time use, the role of women, empowerment of women, level of participation of women, gender gaps, gender dynamics, and gender issues</td>
</tr>
<tr>
<td align="left" valign="top">Adoption of technology</td>
<td align="left" valign="top">Adoption, technology, agricultural technology, adoption rate, adoption behavior, extent of adoption, technology gap, factors of adoption, and determinants of adoption</td>
</tr>
<tr>
<td align="left" valign="top">Location</td>
<td align="left" valign="top">Any country</td>
</tr>
<tr>
<td align="left" valign="top">Thematic area</td>
<td align="left" valign="top">Agriculture</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The search across seven electronic platforms yielded 1,054 research studies, of which 996 articles remained after duplication was removed. Since the objective of this analysis was not to depict the inadequacy of research in this topic but to highlight the gender gap&#x2019;s influence on the technology adoption behavior of women farmers across nations, only a systematic review was conducted, and the descriptive analysis of bibliographical data was avoided. However, for a systematic review of full texts, studies from countries with the highest number of research studies on women in citriculture were selected to assess the adoption behavior of women in agriculture in those countries.</p>
</sec>
<sec id="sec12">
<title>Validating macrolevel gender disparities at microlevel</title>
<p>The gender disparities identified through macroanalysis were ranked by respondents in microlevel analysis. The disparities faced by women citrus growers were ranked according to the value of the mean rank. The disparity with the highest mean rank was considered as the most vital constraint for women citrus growers in contributing to the citrus value chain.</p>
<p>Furthermore, an independent sample <italic>t</italic>-test was conducted to find out if there was a significant difference in the degree of disparities faced by women citrus growers who had sound technical know-how of citrus farming or processing, and those who lacked sound technical knowledge.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<title>Results and discussion</title>
<sec id="sec14">
<title>Presence of &#x201C;women in citriculture&#x201D; in &#x201C;science&#x201D;: macroanalysis</title>
<p>During the review (assessment of &#x201C;science&#x201D;) of scientific literature, the majority of publications were found to be journal articles (250), followed by 25 books related to citrus cultivation in specific countries that mentioned women farmers. There were also conference proceedings, theses and book sections (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Categories of publication having &#x201C;citrus&#x201D; and &#x201C;women&#x201D; keywords.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing publication types by quantity. Journal articles lead with 250, followed by books at 25, conference proceedings and theses both at 11, and book sections at 9.</alt-text>
</graphic>
</fig>
<p>A close examination of the publication ranges reveals that citriculture and women&#x2019;s participation in it were documented as early as 1929, albeit not extensively. Mostly around the 1950s and 1970s, the documentation picked up. The inclusion of this theme in mainstream scholarly research, that is, in theses, was done as late as 2007. To assess the consistency in research on the theme, it was found that one author from Pakistan consistently published four articles on citriculture, mentioning women farmers in each of them. Eight authors consistently published three or more articles related to the search terms &#x201C;citrus&#x201D; and &#x201C;women.&#x201D;</p>
<p>After further screening of the 306 articles, only journal articles (250) were considered for further analysis. Among journal articles, only those articles that had the keywords &#x201C;citrus&#x201D; and &#x201C;women&#x201D; mentioned in their titles were selected to analyze the trend of documentation of this topic. A total of 182 such articles were found (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Increasing trend of journal articles with titles having &#x201C;citrus&#x201D; and &#x201C;women&#x201D; keywords.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph showing the number of journal articles with "citrus" and "women" in the title over four periods: 1929-1953 (1 article), 1953-1977 (4 articles), 1977-2001 (35 articles), and 2001 to present (142 articles). There is a significant increase over time.</alt-text>
</graphic>
</fig>
<p>In the first 24&#x202F;years, 1929&#x2013;1953, there was only one article published. The number increased to four between 1953 and 1977 and to 35 between 1977 and 2001. From 2001 to the present date, 142 articles have been published, and the trend can be considered increasing over the years as per the trend graph (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<p>The 182 articles that were shortlisted originated from 35 countries, and most of them were from the regions of sub-Saharan Africa and South Africa, but a considerable amount of documentation has been done in India, Pakistan, and some other Asian countries too (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Countries with more than one research article having keywords &#x201C;citrus&#x201D; and &#x201C;women&#x201D; in their titles.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Radar chart displaying the number of papers with specific keywords across various regions. Numbers range from zero to twelve. Nigeria has the highest count at eleven, while Uganda and Afghanistan are at zero. Other regions include Turkey, South Africa, Pakistan, Nepal, Iran, Indonesia, India, Ghana, Florida, California, and Bangladesh.</alt-text>
</graphic>
</fig>
<p>Among them, a total of 14 countries had research articles with the title having keywords &#x201C;citrus&#x201D; and &#x201C;women&#x201D; (<xref ref-type="fig" rid="fig6">Figure 6</xref>). Among them, Nigeria had the highest number of research articles (11), India the second highest (8), while Pakistan and South Africa (6 each). A total of 67 articles originated from these 14 nations. Thus, it is evident that gender issues in citriculture have been discussed in science and research of developing countries mostly.</p>
</sec>
<sec id="sec15">
<title>Systematic review of &#x201C;science&#x201D;: identification and classification of gender disparities</title>
<p>A final systematic review was done for macroanalysis using the full texts of 67 articles from the 14 countries. Country-wise gender disparities were reported (<xref ref-type="bibr" rid="ref9003">Sahu et al., 2023</xref>; <xref ref-type="bibr" rid="ref47">Sahu et al., 2018</xref>; <xref ref-type="bibr" rid="ref2">Akhtar et al., 2024</xref>; <xref ref-type="bibr" rid="ref29">Manenzhe, 2021</xref>; <xref ref-type="bibr" rid="ref49">Sarker et al., 2017</xref>; <xref ref-type="bibr" rid="ref24">Kilmanun et al., 2023</xref>; <xref ref-type="bibr" rid="ref42">Rana, 2024</xref>; <xref ref-type="bibr" rid="ref30">McBane, 2001</xref>) (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Systematic Review of &#x2018;Science&#x2019; on &#x201C;women in citriculture.&#x201D;</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Text outlines challenges and roles of women in citrus farming across different regions. It highlights restricted access to resources and services in India, barriers faced by women in Pakistan, socio-economic constraints in South Africa, significant roles alongside men in Bangladesh, high labor force participation but low income contribution in Indonesia, marginalization in Nepal, and gender-based work division in California. Each section cites research sources.</alt-text>
</graphic>
</fig>
<p>The descriptive analysis of literature revealed a handful of research/science studies done on women in citriculture. The systematic review further revealed the gender disparities existing in the citrus value chain at a global level and, accordingly, the issues were classified into three broad heads of socio-personal, economic, and technical disparities with sub-heads under each (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Classification of gender disparities in citriculture identified through macroanalysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sl. No.</th>
<th align="left" valign="top">Category of disparities</th>
<th align="left" valign="top">Gender disparities in citrus value chain identified through macroanalysis</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">A</td>
<td align="left" valign="middle" rowspan="4">Socio-personal disparities</td>
<td align="left" valign="top">Sole responsibility of taking care of the family and children</td>
</tr>
<tr>
<td align="left" valign="top">Low decision-making power</td>
</tr>
<tr>
<td align="left" valign="top">Additional burden of household chores</td>
</tr>
<tr>
<td align="left" valign="top">Lack of mobility</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">B</td>
<td align="left" valign="middle" rowspan="3">Economic disparities</td>
<td align="left" valign="top">Financial dependency on males of the family</td>
</tr>
<tr>
<td align="left" valign="top">Low control over income (both farm and non-farm)</td>
</tr>
<tr>
<td align="left" valign="top">Lack of access to resources</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">C</td>
<td align="left" valign="middle" rowspan="3">Technical disparities</td>
<td align="left" valign="top">Lack of training/skill development opportunities</td>
</tr>
<tr>
<td align="left" valign="top">Lack of access to extension and advisory services</td>
</tr>
<tr>
<td align="left" valign="top">Poor technical knowledge on citrus farming</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec16">
<title>Gender disparities and its effect on agricultural technology adoption by women farmers</title>
<p>Gender disparities significantly impact women&#x2019;s adoption of agricultural technologies, often leading to lower productivity and limited participation in farming advancements. Women farmers frequently face barriers in accessing essential resources like land, credit, inputs, and extension services. Traditional gender roles and societal expectations can restrict women&#x2019;s access to information, training, and decision-making power regarding technology adoption. Women often shoulder a disproportionate burden of household and caregiving responsibilities, limiting their time and capacity to engage in new technologies. Agricultural technologies are often designed without considering the specific needs and constraints of women farmers, hindering their adoption. Women farmers often receive fewer visits from extension agents, limiting their access to crucial information and support. High input costs, limited access to credit, and lack of collateral can prevent women from adopting new technologies. Hence, a cross-country visualization was done of 996 studies obtained after a PRISMA search, pertaining to gender disparities and technology adoption by women. Studies from India, Tanzania, Nigeria and other countries of Africa (Burkina Faso, Ghana, Uganda, Zambia, and Malawi) were selected as these countries had maximum studies on women and citriculture as per bibliographic analysis illustrated in <xref ref-type="fig" rid="fig6">Figure 6</xref>. With regard to this fact, research studies conducted in these specific countries on gender gaps affecting technology adoption were selected for the general review. As specific studies on adoption of citriculture technologies by women were not available hence, adoption of agricultural technologies by women was analyzed (<xref ref-type="fig" rid="fig8">Figure 8</xref>) from these countries.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Review of studies on gender disparities affecting agricultural technology adoption by women.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A text-heavy image contains information about technology adoption in agriculture, differentiated by gender in various countries. Key points include: In India, 55 percent of women show medium adoption levels; in Tanzania, men dominate decision-making due to land control; in Ghana, men adopt new technologies more than women; in Nigeria, men adopt improved rice varieties more; Burkina Faso shows women have less bargaining power; Zambia highlights gender differences in technology roles; Malawi states men's access to agricultural inputs is greater, though women are proactive in using fertilizers; and in Uganda, men and women play different roles due to access differences.</alt-text>
</graphic>
</fig>
<p>The macroanalysis of cross-country studies on gender gaps affecting agricultural technology adoption revealed (<xref ref-type="fig" rid="fig8">Figure 8</xref>) that gender-based constraints contribute to lower adoption rates of improved seeds, fertilizers, and other technologies. Limited access to resources and technology leads to lower agricultural yields and reduced income for women farmers. Gender disparities in agricultural technology adoption exacerbate existing inequalities in wealth, income, and access to opportunities. In the long run, women farmers are more vulnerable to climate change impacts and food insecurity due to their limited access to adaptation technologies (<xref ref-type="bibr" rid="ref44">Rawat et al., 2024</xref>; <xref ref-type="bibr" rid="ref37">Nchanji et al., 2025</xref>; <xref ref-type="bibr" rid="ref12">Doss and Morris, 2001</xref>; <xref ref-type="bibr" rid="ref9002">Arimi and Olajide, 2016</xref>; <xref ref-type="bibr" rid="ref38">Obisesan, 2014</xref>; <xref ref-type="bibr" rid="ref25">Koledoye and Olanike, 2015</xref>; <xref ref-type="bibr" rid="ref3">Alao et al., 2014</xref>; <xref ref-type="bibr" rid="ref7">Cashman, 1990</xref>; <xref ref-type="bibr" rid="ref52">Theriault et al., 2017</xref>; <xref ref-type="bibr" rid="ref9001">Aduwo et al., 2017</xref>; <xref ref-type="bibr" rid="ref9">Chomba, 2004</xref>; <xref ref-type="bibr" rid="ref23">Kilic et al., 2014</xref>; <xref ref-type="bibr" rid="ref16">Gilbert et al., 2002</xref>; <xref ref-type="bibr" rid="ref35">Nchanji et al., 2022</xref>; <xref ref-type="bibr" rid="ref51">Tanellari et al., 2014</xref>; <xref ref-type="bibr" rid="ref40">Quisumbing, 1995</xref>).</p>
</sec>
<sec id="sec17">
<title>Status of &#x2018;women in citriculture&#x2019; in the &#x2018;society&#x2019;: microanalysis</title>
<sec id="sec18">
<title>Resources profile</title>
<p>The microanalysis showed that the majority of women citrus growers (65%) were middle aged (30&#x2013;50&#x202F;years) and 98% of them had no land holding in their own name (<xref ref-type="table" rid="tab5">Table 5</xref>), working in the orchards of their husbands or fathers, which were also mostly (65%) 2&#x2013;4&#x202F;ha in size. Only 2% had land in their own name. The <italic>t</italic>-values from an independent sample <italic>t</italic>-test were found to be significant at 1 and 5% levels of significance, indicating the means were significantly different.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Socioeconomic profile of respondents of the microanalysis (<italic>n</italic>&#x202F;=&#x202F;300).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S. No.</th>
<th align="left" valign="top">Socioeconomic Parameters</th>
<th align="center" valign="top">Categories</th>
<th align="center" valign="top">Percent (%) of respondents</th>
<th align="center" valign="top"><italic>t</italic>- value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">1</td>
<td align="left" valign="top" rowspan="3">Age (years)</td>
<td align="center" valign="middle">&#x003C;30</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="top" rowspan="3">2.54&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">30&#x2013;50</td>
<td align="center" valign="middle">65</td>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;50</td>
<td align="center" valign="middle">28</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">2</td>
<td align="left" valign="top" rowspan="2">Land holding (ha)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="top" rowspan="2">3.94&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">98</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">3</td>
<td align="left" valign="top" rowspan="3">Size of citrus orchard (ha) (irrespective of own name or not)</td>
<td align="center" valign="middle">&#x003C;2</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="top" rowspan="3">2.01&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">02&#x2013;04</td>
<td align="center" valign="middle">65</td>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;4</td>
<td align="center" valign="middle">5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">4</td>
<td align="left" valign="top" rowspan="3">Education</td>
<td align="center" valign="middle">Less than or up to class 12</td>
<td align="center" valign="middle">94</td>
<td align="center" valign="top" rowspan="3">3.01&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">Up to graduation</td>
<td align="center" valign="middle">5</td>
</tr>
<tr>
<td align="center" valign="middle">Up to postgraduation and above</td>
<td align="center" valign="middle">1</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">5</td>
<td align="left" valign="top" rowspan="3">Primary engagement</td>
<td align="center" valign="middle">Only citrus farming/processing</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="top" rowspan="3">1.98&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">Citrus farming/processing and household chores</td>
<td align="center" valign="middle">77</td>
</tr>
<tr>
<td align="center" valign="middle">Additional non-farm jobs and household chores</td>
<td align="center" valign="middle">14</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">6.</td>
<td align="left" valign="top" rowspan="2">Access to paid or unpaid farm work</td>
<td align="center" valign="middle">Paid</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="top" rowspan="2">2.05&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">Unpaid</td>
<td align="center" valign="middle">65</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Level of significance at &#x002A;5 and &#x002A;&#x002A;1%.</p>
</table-wrap-foot>
</table-wrap>
<p>This revealed the stark difference in access to resources and inputs between men and women in citriculture. The women were less educated, with 94% being schooled up to class 12, only 5% graduates, and only 1 woman had postgraduation degree. Hence, most middle-aged, less educated ones (77%) were contributing their labor in citrus farming/processing and household chores. A handful (14%) of them were working in some additional non-farm jobs (mostly part-time in nature) after their little bit of farming/processing activities, but they, too, were burdened with household chores. Only nine of them had managed to focus on farming/processing work because they had large joint families where the household chores were mostly handled by other women members who stayed at home. However, even they confessed that they had to dedicate a significant amount of time to caring for their children, helping other women members with household chores, and taking care of the other family members, especially the elderly and men who had less time available. About 35% were agricultural laborers who got paid for their engagement in farm activities, while the remaining 65% were doing unpaid labor on their family farms. Findings are similar to <xref ref-type="bibr" rid="ref43">Raney et al. (2011)</xref>, who reported that women were overrepresented in unpaid, seasonal, and part-time work, often being paid less than men, for the same work. Women&#x2019;s engagements are mostly restricted to unpaid labor, be it in family farming or household caregiving, which leaves them with less time for self-development activities. Similar findings were reported by <xref ref-type="bibr" rid="ref36">Nchanji et al. (2021)</xref> among women bean producers of Kenya.</p>
</sec>
<sec id="sec19">
<title>Agency profile</title>
<p>The indicators of domain agency depict the control or command a woman has in the decision-making process of the household. In citrus farm families, approximately 62% of women reported being engaged with citrus farming activities, such as weeding, intercultural operations in the orchard, harvesting, grading, and sorting, while 27% women were involved in processing activities of citrus, preparing value-added products out of citrus. Only 11% of women took their produce to market to sell it themselves. The data makes it evident that marketing is still looked upon as an activity where women should not venture, as it involves direct interaction with unknown people, dealing with money, and traveling, too. Patriarchal notions like women are meant to be confined to households and should not handle money are the basis of such an attitude toward women. The findings are similar to those of a study conducted on women farmers of Rajasthan, India by <xref ref-type="bibr" rid="ref8">Chayal and Dhaka (2010)</xref>, where women were engaged more in drudgery-prone field activities than marketing.</p>
<p>None of the respondents reported having full control over farm or non-farm income. It was either the men members having full control over farm (54%) and non-farm (32%) income, or the man and woman jointly (25 and 18%, respectively) deciding on them. A significant 21 and 50% of women stated that their husbands/fathers consult them, but the final decision is taken by the men members related to the use of farm and non-farm income, respectively, for meeting household expenses. In decisions related to healthcare or the education of children, women had slightly more decision-making power or say in the household because 23% women reported that they make the decision fully, and only financial expenses are paid by the father. About 70% stated that they jointly decide, only 7% reported that the men members consult, but the final decision is taken by the men. None of them reported that males had full decision-making power with regard to the education or healthcare of children. This shows that even when women lack financial control, they are often consulted on decisions related to family wellbeing and caregiving, especially concerning children, and men rely on their decision-making capabilities in these matters. Findings are in consonance with <xref ref-type="bibr" rid="ref46">Rosada (2016)</xref> and <xref ref-type="bibr" rid="ref19">Herawati et al. (2021)</xref>.</p>
<p>Related to domestic violence, only 8% women reported that they did not face any kind of violence in their households. The majority (approximately 77%) reported that they had witnessed domestic violence in some form or the other at some point of time in their households, while 15% stated that they were active victims of domestic violence. In terms of mobility, 52% reported that they were not independent in moving and had to depend on someone or seek permission for moving out of the house almost always, 46% reported that they had to seek permission or depend on other members sometimes. Only 2% women reported that they enjoyed full freedom of mobility. These women were mostly associated with processing and marketing activities, which required them to move out often. The findings are similar to those of <xref ref-type="bibr" rid="ref54">Wood et al. (2024)</xref>, <xref ref-type="bibr" rid="ref15">Frankenthal and Dutta (2021)</xref>, and <xref ref-type="bibr" rid="ref39">Parveen (2007)</xref> from Saskatchewan, India, and Pakistan.</p>
</sec>
<sec id="sec20">
<title>Achievements profile</title>
<p>The microanalysis revealed that 65% women respondents were part of either SHGs, FIGs, or FPOs, but none were part of any FPC. They also stated that none of them were representatives/workers of political parties, hence political representation was nil in the sample. The findings are similar to those from Australia, where rural women were largely invisible in public areas of influence (<xref ref-type="bibr" rid="ref4">Alston, 2003</xref>) due to the agricultural agenda being largely framed around a masculinist position, and women, even if elected to a position, remain merely as shadowy presences of outraged silence. Women&#x2019;s underrepresentation in the political arena is mostly due to the gendered structure of society.</p>
</sec>
</sec>
<sec id="sec21">
<title>Gender disparities affecting citrus-based technology adoption: cues from agency and achievement profile</title>
<p>The gender disparities faced by women citrus growers were found to affect the extent of scientific technology adoption of citrus. Scientific citriculture, which results in better yield and productivity of citrus, is technology intensive. However, the microanalysis revealed most women (32%) were ignorant of the advanced technologies in citrus production/processing and felt underconfident in expressing their technical expertise (<xref ref-type="table" rid="tab6">Table 6</xref>). However, they were contributing to major operations, including weeding, spraying of pesticides and insecticides, intercultural operations, fertilizer application, harvesting, fresh juice extraction, and selling fruits in local markets. Almost none, except three respondents, had received some skill development training in citrus. So, it became evident that without adequate technical expertise, they were contributing to this sector for decades. As a result, none of them had complete control over the decision-making process of citrus-based technology adoption in their farms or processing ventures. Only 15% of them decided jointly, while 24% gave their inputs, but the final decision was taken by the men family members. A surprising 61% of women citrus growers were not consulted by their men family members when making decisions on technology adoption in their citrus ventures. Only 15% had some kind of contact with extension professionals of the state agriculture or horticulture department or private consultancies. However, that contact too was dependent on when the professionals visited their villages.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Gender disparities and their effect on citrus-based technology adoption by women in different activities of the citrus value chain (n&#x202F;=&#x202F;300).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Technology Adoption Parameters</th>
<th align="center" valign="top" colspan="2">Presence of sound technical know-how of citrus farming/processing</th>
<th align="center" valign="top" colspan="4">Say in the household in deciding which technology to adopt in the farming/processing of citrus</th>
<th align="center" valign="top" colspan="2">Training or facilitation received from horticulture/agriculture extension professionals for involvement in the citrus value chain</th>
<th align="center" valign="top" colspan="2">Do you have any access to extension or any kind of citrus advisory services?</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Categories with scores</td>
<td align="center" valign="middle">Yes&#x202F;=&#x202F;1</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0</td>
<td align="center" valign="middle">Yes I decide&#x202F;=&#x202F;3</td>
<td align="center" valign="top">We jointly decide with husband/father&#x202F;=&#x202F;2</td>
<td align="center" valign="top">I give inputs and my husband/father takes final decision&#x202F;=&#x202F;1</td>
<td align="center" valign="top">My husband/father does not consult me&#x202F;=&#x202F;0</td>
<td align="center" valign="middle">Yes&#x202F;=&#x202F;1</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0</td>
<td align="center" valign="middle">Yes&#x202F;=&#x202F;1</td>
<td align="center" valign="middle">No&#x202F;=&#x202F;0</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">% of respondents</td>
<td align="center" valign="middle">32</td>
<td align="left" valign="middle">68</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">61</td>
<td align="center" valign="middle">3</td>
<td align="left" valign="middle">97</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">85</td>
</tr>
<tr>
<td align="center" valign="top" colspan="10">Maximum obtainable technology adoption score&#x202F;=&#x202F;6 (if any respondent scores 1&#x202F;+&#x202F;3&#x202F;+&#x202F;1&#x202F;+&#x202F;1 in the above 4 parameters)</td>
</tr>
<tr>
<td align="center" valign="top" colspan="3">Technology adoption score (0)</td>
<td align="center" valign="top" colspan="3">Technology adoption score (1&#x2013;3)</td>
<td align="center" valign="top" colspan="4">Technology adoption score<break/>(4&#x2013;6)</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="3">42%</td>
<td align="center" valign="middle" colspan="3">38%</td>
<td align="center" valign="middle" colspan="4">20%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The Technology Adoption Scores were calculated by linear addition of scores obtained on four parameters of technology adoption questions (<xref ref-type="table" rid="tab6">Table 6</xref>). The maximum obtainable score being 6, the majority (42%) of women scored 0, 38% scored 1&#x2013;3, and only 20% scored 4&#x2013;6. The scores represented their extent of contribution in the technology adoption process in their citrus ventures. However, as is evident, a large section of women, though contributing toward citrus farming in different ways, played no to a very insignificant role in technology adoption.</p>
<p>If half of the population involved in a venture does not have any say in the technology adoption process, it clearly presents the gender gap, which ultimately triggers the technology gap in any sector. Lack of knowledge, skill, and decision-making power of women affects the overall technology adoption process of any sector of agriculture, and this finding is in alignment with that of <xref ref-type="bibr" rid="ref50">Shahbaz et al. (2022)</xref>, <xref ref-type="bibr" rid="ref41">Ragasa (2012)</xref>, <xref ref-type="bibr" rid="ref22">Kassie et al. (2020)</xref>, <xref ref-type="bibr" rid="ref11">Doss and Morris (2000)</xref>, and <xref ref-type="bibr" rid="ref34">Mwinuka and Hyera (2022)</xref>. It was reflected vividly through the Technology Adoption Scores.</p>
<p>The relation between socioeconomic parameters and technology adoption parameters were also analyzed (<xref ref-type="table" rid="tab7">Table 7</xref>) through a chi-squared test, which revealed that age of the respondent, size of land holding possessed by the family, size of citrus orchard possessed and education of the respondent were significantly associated (&#x03C7;<sup>2</sup>value significant at 0.05 level of significance) with citrus based technology adoption by women citrus growers. Women of younger age, larger land holdings, orchards, and higher education tended to have higher adoption scores. The findings are similar to technology adoption studies done in vegetable farming and livestock farming, too (<xref ref-type="bibr" rid="ref48">Sanya et al., 2025</xref>; <xref ref-type="bibr" rid="ref45">Rezvanfar, 2007</xref>; <xref ref-type="bibr" rid="ref33">Mohanty et al., 2013</xref>; <xref ref-type="bibr" rid="ref56">Zanu et al., 2012</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Association between socioeconomic parameters and citrus-based technology adoption.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">S. No.</th>
<th align="left" valign="top">Socioeconomic parameters</th>
<th align="center" valign="top">Chi-squared value<break/>(<italic>&#x03C7;</italic><sup>2</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">12.06&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Land holding (ha)</td>
<td align="center" valign="top">10.05&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Size of citrus orchard (ha)</td>
<td align="center" valign="top">5.35&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Education</td>
<td align="center" valign="top">10.03&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Primary engagement</td>
<td align="center" valign="top">1.09</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Level of significance at 5%.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec22">
<title>Correlating macro and microanalysis: bridging science and society</title>
<p>Macroanalysis revealed the primary gender disparities (<xref ref-type="table" rid="tab4">Table 4</xref>) that existed in citrus farming, processing, or, in other words, citrus-based farm households. These gender issues were ranked severity-wise by the respondents of the microanalysis. The results were subjected to a Friedman ranking. It was found that lack of access to basic inputs and resources was the major challenge, and it was adjudged as most severe by almost 98% of respondents (<xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Severity of gender disparities.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sl. no.</th>
<th align="left" valign="top">Items/aspects</th>
<th align="center" valign="top">Friedman mean rank</th>
<th align="center" valign="top">Mean %</th>
<th align="center" valign="top">Overall rank</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">A. Socio-personal disparities</td>
</tr>
<tr>
<td align="left" valign="top">1.</td>
<td align="left" valign="top">Sole responsibility of taking care of family and children</td>
<td align="center" valign="top">2.11</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">X</td>
</tr>
<tr>
<td align="left" valign="top">2.</td>
<td align="left" valign="top">Low decision-making power</td>
<td align="center" valign="top">3.08</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">VIII</td>
</tr>
<tr>
<td align="left" valign="top">3.</td>
<td align="left" valign="top">Additional burden of household chores</td>
<td align="center" valign="top">2.81</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">IX</td>
</tr>
<tr>
<td align="left" valign="top">4.</td>
<td align="left" valign="top">Lack of mobility</td>
<td align="center" valign="top">3.46</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">VII</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">B. Economic disparities</td>
</tr>
<tr>
<td align="left" valign="top">5.</td>
<td align="left" valign="top">Financial dependency on men of the family</td>
<td align="center" valign="top">5.90</td>
<td align="center" valign="top">92</td>
<td align="center" valign="top">II</td>
</tr>
<tr>
<td align="left" valign="top">6.</td>
<td align="left" valign="top">Low control over income (both farm and non-farm)</td>
<td align="center" valign="top">5.18</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="left" valign="top">7.</td>
<td align="left" valign="top">Lack of access to resources</td>
<td align="center" valign="top">5.01</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">IV</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">C. Technical disparities</td>
</tr>
<tr>
<td align="left" valign="top">8.</td>
<td align="left" valign="top">Lack of training/skill development opportunities</td>
<td align="center" valign="top">5.00</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">V</td>
</tr>
<tr>
<td align="left" valign="top">9.</td>
<td align="left" valign="top">Lack of access to extension and advisory services</td>
<td align="center" valign="top">4.89</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">VI</td>
</tr>
<tr>
<td align="left" valign="top">10.</td>
<td align="left" valign="top">Poor technical knowledge of citrus farming</td>
<td align="center" valign="top">5.97</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">I</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>About 95% respondents reported that lack of technical knowledge (5.97) and 92% reported financial dependency (5.90) on men family members were the two most severe gender disparities. Low control over income (86%), Lack of access to resources (82%), Lack of Training (81%), and Lack of access to extension services (76%) were the next big constraints. Lack of mobility (62%), lack of freedom (60%), household chores (55%), and care of families and children (45%) were some other factors that were reported to restrain women. Hence, the gender issues that existed globally in citriculture since 1929 were validated through the microanalysis in 2024. The longitudinal and cross-sectional differences impacted women very little because, irrespective of any part of the world or time, women were still the unsung part of citrus stories.</p>
<p>The results from the independent sample t-test presented in <xref ref-type="table" rid="tab9">Table 9</xref> revealed that there was no significant difference in the degree of economic and technical gender disparities faced by the technically sound and not-so-sound respondents. However, there was a significant difference in the degree of socio-personal constraints faced by the two categories of respondents, as the <italic>t</italic>-value (2.02) was found to be significant at the 0.05 level. It can be inferred from the results that the low technical know-how of the respondents can be attributed to the higher degree of socio-personal disparities that they face.</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Category of gender disparities influencing technical knowledge on citrus.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sl. no.</th>
<th align="left" valign="top">Category of gender disparities</th>
<th align="center" valign="top">Presence of sound technical know-how of citrus farming and processing<break/>(mean %)</th>
<th align="center" valign="top">Lack of sound technical know-how of citrus farming and processing<break/>(mean %)</th>
<th align="center" valign="top"><italic>t</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">A</td>
<td align="left" valign="top">Socio-personal disparities</td>
<td align="center" valign="middle">37.74</td>
<td align="center" valign="middle">62.26</td>
<td align="center" valign="top">2.02&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">B</td>
<td align="left" valign="top">Economic disparities</td>
<td align="center" valign="middle">58.93</td>
<td align="center" valign="middle">41.07</td>
<td align="center" valign="top">1.29<sup>NS</sup></td>
</tr>
<tr>
<td align="left" valign="top">C</td>
<td align="left" valign="top">Technical disparities</td>
<td align="center" valign="middle">57.12</td>
<td align="center" valign="middle">42.88</td>
<td align="center" valign="top">1.77<sup>NS</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NS&#x202F;=&#x202F;non-significant; Level of significance at &#x002A;5 and &#x002A;&#x002A;1%.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec23">
<title>Bridging science and society through a gender transformative approach at the microlevel</title>
<p>The empirical findings of the study have presented the &#x201C;macro&#x201D; and &#x201C;micro&#x201D; picture of women citrus growers in &#x201C;science&#x201D; and &#x201C;society.&#x201D; The macrolevel findings of science bear similarities and relevance even to this date in our microlevel society, as evident through the correlation. The transformation of women citrus growers in this study can be facilitated through the implementation of women empowerment programs by the government or other developmental agencies. However, to break the gender barriers from the root level and empower the women farmers would require adopting an approach that deeply diagnoses the gender dynamics of the society and then changes the local level structural gender barriers, which would automatically empower women with greater mobility, more access to resources, more freedom, and control over financial resources. To break gender disparities at the local level, that is, within households and communities, the Gender Transformative (GT) approaches can be utilized. That is a theoretical framework (science) to deal with a societal disparity, or in other words, science reaching out to society.</p>
<p>A GT approach refers to an approach in development or research and development (R&#x0026;D) that is intentionally oriented, facilitated, and applied with the aim of examining, challenging, and transforming the underlying causes of gender inequality. These causes are rooted in social structures, including the gender norms that underpin imbalances in gender power dynamics, roles, and relations. The guiding theory is that by transforming underlying drivers, the GT approach breaks the cycle of gender barriers and constraints being created and perpetuated over time (<xref ref-type="bibr" rid="ref31">McDougall et al., 2023</xref>). GT methods describe the procedures and practices by which the GT approach is operationalized. There are two types of GT methods that can be applied at the microlevel or at the local level. Formative GT methods can be used during the scoping and design stage of the program. They generate a diagnostic understanding of (intersectional) gender dynamics (interactions, relations, and patterns of behavior) and, specifically, of underlying gender barriers that create those dynamics in particular contexts. They may assess, for example, the gender division of labor, decision-making, and distribution of benefits or burdens, and seek to identify the underlying factors (e.g., norms and belief systems) that drive these. Their primary focus is on generating data to inform the design of catalytic GT strategies (next stage) and to inform overall project design. Catalytic GT methods are then designed to spark and build change during the implementation stages of a project or program. Their primary focus is on catalyzing change in local-scale structural gender barriers, such as constraining gender norms, to lay the foundations for greater equality. Catalytic methods, as used here, are not only about developing interest or commitment for change in support of equality among people of all genders within households, groups, and the wider community, but also operationalizing (piloting, actioning) ideas or strategies for change.</p>
<p>The GT approaches have been applied successfully in various women empowerment programs. <xref ref-type="bibr" rid="ref27">Macnaughton et al. (2016)</xref> reported the integration of empowerment and intersectionality as a Gender Transformative approach for rural indigenous fishing communities in the Bolivian Amazon through the Pecespara la vida (PPV) project (&#x201C;Fish for Life&#x201D;). <xref ref-type="bibr" rid="ref13">Escobar et al. (2017)</xref> indicated the Papa Andina initiative, as implemented by the International Potato Center (CIP) in Peru, as a Gender Transformative approach. Papa Andina supported peasant women producers in participating in new processes of institutional, organizational, commercial, technological, and social innovation. Toward the end of the program, Papa Andina became more responsive to resource-poor women, acknowledging gender dynamics within some coalitions and gender gaps within innovation processes, particularly in terms of gendered access to and control over resources and assets for native potato value chains. Mobility and participation in the decision-making processes allowed women and men to gain self-confidence and respect inside the Papa Andina project, their communities, and their own households.</p>
</sec>
<sec id="sec24">
<title>Strategies for empowering women citrus farmers</title>
<p>Formulating and implementing strategies to bridge the existing gender gap in the citrus sector is the need of the hour. The following strategies, ranked by the severity of gender disparities (as mentioned in <xref ref-type="table" rid="tab8">Table 8</xref>), are suggested to reduce the gender discrepancies found in the study. These strategies provide focused and effective interventions by addressing the socio-personal, economic, and technical inequalities that women in citrus farming confront (<xref ref-type="fig" rid="fig9">Figure 9</xref>).</p>
<list list-type="alpha-lower">
<list-item>
<p>Addressing socio-personal constraints through community engagement</p>
</list-item>
</list>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Strategies for empowering women citrus farmers.</p>
</caption>
<graphic xlink:href="fsoc-10-1656780-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart with six interconnected sections: 1. Addressing socio-personal constraints through community engagement.2. Promoting financial independence through SHGs and FPOs.3. Improving resource access through policy advocacy.4. Building scientific and business capacity.5. Strengthening gender-sensitive extension services.6. Enhancing accessibility through local infrastructure. Each section includes a dedicated symbol representing its focus.</alt-text>
</graphic>
</fig>
<p>Implementing time-saving technologies can reduce the strain of family chores, freeing up more time for women to engage in citrus farming. Additionally, running community awareness programs can encourage shared household responsibilities and promote gender equity in decision-making.</p>
<list list-type="alpha-lower">
<list-item>
<p>Promoting financial independence through SHGs and FPOs</p>
</list-item>
</list>
<p>Although this study involved women citrus growers who were members of Self-Help Groups (SHGs), control of their husbands or men of their families over their earnings from SHGs curbed their financial freedom. In this case, the men members of households can be made a part of the same SHGs so that both men and women farmers of a farm household can have some disposable income, access to loans, etc. Participation in Farmer Producer Organizations (FPOs), Farmer Interest Groups (FIGs), and Self-Help Groups (SHGs) can give them access to low-interest loans and microfinance for citrus farming inputs, reducing the women&#x2019;s reliance on the man of the household and addressing economic inequality.</p>
<list list-type="alpha-lower">
<list-item>
<p>Improving resource access through policy advocacy</p>
</list-item>
</list>
<p>Encouraging gender-sensitive policies to guarantee women farmers&#x2019; fair access to financial services and agricultural inputs through targeted subsidies; utilizing programs, such as the <italic>Namo Drone Didi Initiative</italic> and the <italic>Mahila Kisan Sashaktikaran Pariyojana</italic> (MKSP), to increase women&#x2019;s involvement in agriculture in India. Inequalities in resource access can be addressed by facilitating access to instruments appropriate for citrus cultivation, such as precision pruning tools and battery-operated sprayers, which can enhance their independence and productivity.</p>
<list list-type="alpha-lower">
<list-item>
<p>Building scientific and business capacity</p>
</list-item>
</list>
<p>By providing business planning and computer literacy workshops, as well as training programs on scientific citrus farming that are targeted at women and cover a varied range of topics like soil health, plant nutrition, and best practices, we can help close the technological gap in agriculture by enhancing technical knowledge and decision-making abilities.</p>
<list list-type="alpha-lower">
<list-item>
<p>Strengthening gender-sensitive extension services</p>
</list-item>
</list>
<p>Encouraging the use of mobile-based platforms and easily navigable expert systems to improve access to timely information and close gaps in mobility and extension services; encouraging the participation of women extension workers from state agricultural universities, public and private research institutes, and non-governmental organizations to provide context-specific advisory services on citrus farming.</p>
<list list-type="alpha-lower">
<list-item>
<p>Enhancing accessibility through local infrastructure</p>
</list-item>
</list>
<p>Supporting women with limited mobility and family care responsibilities by promoting community-based transportation options and creating local resource hubs connected to government agencies, private input dealers, and non-governmental organizations to offer market access, training, and advice.</p>
<p>By increasing citrus-cultivating women farmers&#x2019; access to resources, information, technology, and support networks, these policies collectively seek to empower women farmers, advance gender parity, and strengthen their position in sustainable citrus production.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec25">
<title>Conclusion</title>
<p>The results of the study indicate that the quantum of research done on women in citriculture requires a major boost. Stories of women need to be told, documented, researched upon and actionable policies formulated as part of addressing the gender disparities that exist. As socio-personal gender disparities and socio-economic parameters have a strong association with the technical knowledge and technology adoption parameters, emphasis should be given to addressing the socio-personal gender issues as a priority through social security, education, and capacity-building interventions. Assessment of women&#x2019;s role, contribution, level of participation, and decision-making is essential in citrus farming. Women empowerment is considered a &#x2018;prerequisite&#x2019; to achieving global food security, and country-specific gender intervention frameworks are necessary to overcome gender gaps in agriculture. Gender-sensitive strategies for financial, legal, economic, and social empowerment of women farmers should be the priorities of policymakers to achieve the targets of Sustainable Development Goals of the UN set for every country. Both gender equality and equity are the crux of social development globally. At the foundation of this step lies the essential need to &#x201C;tell&#x201D; their stories, acknowledge the gender gaps, and act to bridge the gaps.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec27">
<title>Author contributions</title>
<p>SB: Writing &#x2013; review &#x0026; editing, Conceptualization, Writing &#x2013; original draft, Visualization. DL: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation. AR: Writing &#x2013; review &#x0026; editing, Software, Methodology, Formal Analysis, Writing &#x2013; original draft. PL: Formal Analysis, Investigation, Writing &#x2013; review &#x0026; editing, Software, Writing &#x2013; original draft. PR: Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Supervision. SS: Writing &#x2013; original draft, Resources, Writing &#x2013; review &#x0026; editing. SD: Resources, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. TB: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Resources.</p>
</sec>
<sec sec-type="funding-information" id="sec28">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>The authors are thankful to the respondents of the study and the institutes, ICAR &#x2013; Central Citrus Research Institute, Nagpur, and ICAR &#x2013; Central Institute of Cotton Research, Nagpur, for logistics support during the field survey.</p>
</ack>
<sec sec-type="COI-statement" id="sec29">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec30">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was 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="sec31">
<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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