Preferences For Traits Research Articles

Gender, social, household, and ecological factors influencing wheat trait preferences among the women and men farmers in India

Gender, social, household, and ecological factors influencing wheat trait preferences among the women and men farmers in India

Floral Trait Preferences of Three Common wild Bee Species.

The interaction between bees and flowering plants is mediated by floral cues that enable bees to find foraging plants. We tested floral cue preferences among three common wild bee species: Lasioglossum villosulum, Osmia bicornis, and Bombus terrestris. Preferences are well studied in eusocial bees but almost unknown in solitary or non-eusocial generalist bee species. Using standardized artificial flowers altered in single cues, we tested preferences for color hue, achromatic contrast, scent complexity, corolla size, and flower depth. We found common attractive cues among all tested bees. Intensively colored flowers and large floral displays were highly attractive. No preferences were observed in scent complexity experiments, and the number of volatiles did not influence the behavior of bees. Differing preferences were found for color hue. The specific behaviors were probably influenced by foraging experience and depended on the flower choice preferences of the tested bee species. In experiments testing different flower depths of reward presentation, the bees chose flat flowers that afforded low energy costs. The results reveal that generalist wild bee species other than well-studied honeybees and bumblebees show strong preferences for distinct floral cues to find potential host plants. The diverse preferences of wild bees ensure the pollination of various flowering plants.

Identifying selection strategies based on the practices and preferences of small ruminant farmers to improve the sustainability of their breeding systems

Small ruminant farming is of socio-economic and environmental importance to many rural communities around the world. The SMARTER H2020 project aims to redefine genetic selection criteria to increase the sustainability of the sector. The objective of this study was to analyse the selection and breeding management practices of small ruminant producers and breeders, linked with socio-technical elements that shape them. The study is based on farm surveys using semi-structured interviews conducted in five countries (France, Spain, Italy, Greece, and Uruguay) across 272 producers and breeders of 13 sheep and goat breeds, and 15 breed × system combinations. The information was collected in four sections. The first and second sections dealt with general elements of structure and management of the system and the flock/herd. The third section focused on selection and breeding management practices: criteria for culling and replacement of females, selection criteria for males, use of estimated breeding values and global indexes, and preferences for indexing new traits to increase the sustainability of their system. The fourth section aimed to collect socio-technical information. We used a data abstraction method to standardise the representation of these data. A mixed data factor analysis followed by a hierarchical ascending classification allowed the characterisation of three profiles of selection and breeding management: (1) a profile of producers (n = 93) of small flocks/herds, with little knowledge or use of genetic selection and improvement tools (selection index, artificial insemination, performance recording); these farmers do not feel that new traits are needed to improve the sustainability of their system. (2) a profile of producers (n = 34) of multibreed flocks/herds that rely significantly on grazing; they are familiar with genetic tools, they currently use AI; they would like the indexes to include more health and robustness characteristics, to make their animals more resistant and to increase the sustainability of their system. And (3) a profile of producers or breeders (n = 145) of large flocks/herds, with specific culling criteria; these farmers are satisfied with the current indexes to maintain the sustainability of their system. These results are elements that can be used by private breeding companies and associations to support the evolution of selection objectives to increase the resilience of animals and to improve the sustainability of the small ruminant breeding systems.

Exploring natural genetic diversity in a bread wheat multi-founder population: Dual imaging of photosynthesis and stomatal kinetics.

A better understanding of crop phenotype under dynamic environmental conditions will help inform the development of new cultivars with superior adaptation to constantly changing field conditions. Recent research has shown that optimising photosynthetic and stomatal conductance traits holds promise for improved crop performance. However, standard phenotyping tools such as gas-exchange systems are limited by their throughput. In this work, a novel approach based on a bespoke gas-exchange chamber allowing combined measurement of the quantum yield of photosystem II (PSII) with an estimation of stomatal conductance via thermal imaging, was used to phenotype a range of bread wheat (Triticum aestivum L.) genotypes, that were a sub-set of a multi-founder experimental population. Datasets were further supplemented by measurement of photosynthetic capacity and stomatal density. First, we showed that measurement of stomatal traits using our dual imaging system compared to standard IRGA methods showed good agreement between the two methods (R2=0.86) for the rapidity of stomatal opening (Ki), with the dual-imager method resulting in less intra-genotype variation. Using the dual-imaging methods, and traditional approaches we found broad and significant variation in key traits, including photosynthetic CO2 uptake at saturating light and ambient CO2 concentration (Asat), photosynthetic CO2 uptake at saturating light and elevated CO2 concentration (Amax), the maximum velocity of Rubisco for carboxylation (Vcmax), time for stomatal opening (Ki), and leaf evaporative cooling. Anatomical analysis revealed significant variation in flag leaf adaxial stomatal density. Associations between traits highlighted significant relationships between leaf evaporative cooling, leaf stomatal conductance under low (gsmin) and high (gsmax) light intensity, and the operating efficiency of PSII (Fq'/Fm'), highlighting the importance of stomatal conductance and stomatal rapidity in maintaining optimal leaf temperature for photosynthesis in wheat. Additionally, gsmin and gsmax were positively associated, indicating that potential combination of preferable traits (i.e. inherently high gsmax, low Ki and maintained leaf evaporative cooling) are present in wheat. This work highlights for the first time the effectiveness of thermal imaging in screening dynamic stomatal conductance in a large panel of wheat genotypes. The wide phenotypic variation observed suggested the presence of exploitable genetic variability in bread wheat for dynamic stomatal conductance traits and photosynthetic capacity for targeted optimisation within future breeding programs.

Transcriptome dynamics of Gossypium purpurascens in response to abiotic stresses by Iso-seq and RNA-seq data

Gossypium purpurascens is a member of the Malvaceae family, holds immense economic significance as a fiber crop worldwide. Abiotic stresses harm cotton crops, reduce yields, and cause economic losses. Generating high-quality reference genomes and large-scale transcriptomic datasets across diverse conditions can offer valuable insights into identifying preferred agronomic traits for crop breeding. The present research used leaf tissues to conduct PacBio Iso-seq and RNA-seq analysis. We carried out an in-depth analysis of DEGs using both correlations with cluster analysis and principal component analysis. Additionally, the study also involved the identification of both lncRNAs and CDS. We have prepared RNA-seq libraries from 75 RNA samples to study the effects of drought, salinity, alkali, and saline-alkali stress, as well as control conditions. A total of 454.06 Gigabytes of transcriptome data were effectively validated through the identification of differentially expressed genes and KEGG and GO analysis. Overwhelmingly, gene expression profiles and full-length transcripts from cotton tissues will aid in understanding the genetic mechanism of abiotic stress tolerance in G. purpurascens.

Farmers’ production constraints, preferred varietal traits and perceptions on sorghum grain mold in Senegal

Improving sorghum adoption rates by developing adapted varieties that meet end-user preferences is a major challenge in West Africa. In this study, a participatory rural appraisal was undertaken to identify the main sorghum production constraints, farmers’ preferred variety traits and their perceptions on sorghum grain mold. The study was conducted in four representative rural communities located in the main sorghum producing area of Senegal. A total of 260 farmers were interviewed and data were collected through focus group discussions and individual questionnaires. Our results indicated that Striga, insects, poor soil fertility and drought are the major sorghum producing constraints in Senegal. Grain mold was identified as the second most important sorghum disease after the damping-off. Discoloration on grain surface was the most important criteria farmers used to recognize the disease. The most important sorghum traits farmers desired in improved varieties are medium to short plant maturity cycle, medium plant height, large open or semi-compact panicle, big and white grain, and adaptation to local growing conditions. The results showed that the sorghum cropping system is dominated by male farmers who mainly grow local landraces. These results will provide updated recommendations for the breeding products profile to meet end-user preferences in Senegal.

The landscape of abiotic and biotic stress-responsive splice variants with deep RNA-seq datasets in hot pepper

Alternative splicing (AS) is a widely observed phenomenon in eukaryotes that plays a critical role in development and stress responses. In plants, the large number of RNA-seq datasets in response to different environmental stressors can provide clues for identification of condition-specific and/or common AS variants for preferred agronomic traits. We report RNA-seq datasets (350.7 Gb) from Capsicum annuum inoculated with one of three bacteria, one virus, or one oomycete and obtained additional existing transcriptome datasets. In this study, we investigated the landscape of AS in response to environmental stressors, signaling molecules, and tissues from 425 total samples comprising 841.49 Gb. In addition, we identified genes that undergo AS under specific and shared stress conditions to obtain potential genes that may be involved in enhancing tolerance to stressors. We uncovered 1,642,007 AS events and identified 4,354 differential alternative splicing genes related to environmental stressors, tissues, and signaling molecules. This information and approach provide useful data for basic-research focused on enhancing tolerance to environmental stressors in hot pepper or establishing breeding programs.

Durian (Durio zibethinus L.): Nutritional Composition, Pharmacological Implications, Value-Added Products, and Omics-Based Investigations

Durian (Durio zibethinus L.), a tropical fruit celebrated in Southeast Asia for its distinct flavor, is the focus of this comprehensive review. The fruit’s pulp is rich in high-value bioactive compounds, including gamma-glutamylcysteine, a precursor to the essential antioxidant glutathione. With durian cultivation gaining prominence in Southeast Asia due to its economic potential through cultivar enhancement, an in-depth examination of durian-related research becomes crucial. This review explores the health benefits of durian, analyzing the nutritional compositions and bioactive compounds present in the pulp, peel, and seed. It also underscores durian-based food products and the potential for valorizing durian waste. This review encapsulates the significant advancements made in omics-based research, aimed at deciphering the molecular complexities of durian fruit post-harvest ripening and the metabolic shifts impacting its sensory attributes. It is the first to summarize studies across genome, transcriptome, and metabolome levels. Future research should prioritize the development of molecular markers to accelerate the breeding of elite cultivars with preferred traits. It also proposes the exploration of durian waste valorization, including underexplored parts like flowers and leaves for their bioactive compounds, to promote a sustainable bioeconomy. Finally, it suggests the development of innovative durian products catering to the tastes of health-conscious consumers.

Breaking ground: transformative partnerships for inclusive bean breeding in Zimbabwe

Common bean is often considered a woman’s crop because they play important roles from production to marketing. However, breeding programs often focus on farmers without adequate attention to the interconnectedness between gender and other socioeconomic variables and how they influence varietal and trait preferences of other value chain actors. This study analyzed gendered differences in bean production and trade, implications of socioeconomic conditions on bean production and marketing, and the role of partnerships in closing gender gaps in the bean value chain in Zimbabwe. The results obtained from the analysis of survey data collected from 131 farmers and 18 trades revealed beans as a dual-purpose crop for male and female farmers and traders. Varietal and trait preferences were the same for both male and female farmers and traders but were prioritized differently. While female farmers prioritized cooking time, men farmers prioritized biofortification and market traits. Whereas male traders equally preferred price, color, and appearance, female traders prioritized price over color and appearance. Poverty and marital statuses of respondents influenced the number of varieties preferred by male and female farmers. We found that the effectiveness of partnerships in closing gender gaps in marketing is variety specific. While having partners closed the gender gaps in the marketing of the NUA45 variety, such partnerships did not have the same effect on closing gender gaps in the marketing of Cherry, Gloria, and other varieties. The results show that considering socioeconomic characteristics of actors and partnerships can reduce gender disparities in the bean value chain. Therefore, breeding programs should recognize the interconnectedness between socioeconomic variables and gender when developing breeding products.

Gendered trait prioritization and motivations for crop varietal choice among smallholder farmers: The case of sweetpotato in Uganda

To improve productivity, several improved high-yielding sweetpotato varieties have been developed and released by breeders. However, most farmers still grow low-yielding landraces known also as farmers’ varieties. Farmers choose varieties to grow based on their preference for the attributes (traits) embodied in those varieties. Past studies have examined drivers of trait preference using neoclassical economic theory. This study departs from previous ones by applying principles from economic psychology to assess preference for, and prioritization, of sweetpotato traits among male and female sweetpotato farmers. Data used was data collected using focus group discussions and laddering, an in-depth personal interview process, and analysed using descriptive and means-end chain analyses. The study identifies mental constructs associated with farmers’ trait preference and prioritization, namely: the characteristics farmers mentally associate with the prioritized traits, the benefits those traits confer, and the life goals (i.e. values) they enable farmers to attain. Focus group discussions revealed that, among agronomic traits, high root yield is the most preferred/prioritized trait across gender categories and was followed by stress tolerance and underground root storage longevity. The most preferred quality traits across gender groups are root size and mealiness. Women, however, prioritized early maturity over men. The means-end-chain analysis identified several mental constructs farmers mentally associated with trait prioritization. They are increased sales, more income, food security, savings, and investment. These benefits are linked to various life goals (values) farmers aspire for namely, respect, security, achievement, and happiness. These findings imply that farmers’ choice of sweetpotato varieties to grow is driven by the agronomic and quality traits the varieties embody. The findings further imply that psychosocial factors underpin trait preference and prioritization by farmers.

Floral resource partitioning of coexisting bumble bees: Distinguishing species-, colony-, and individual-level effects.

Resource partitioning is considered a key factor in alleviating competitive interactions, enabling coexistence among consumer species. However, most studies have focused on resource partitioning between species, ignoring the potentially critical role of intraspecific variation in resource use. We investigated floral resource partitioning across species, colonies, and individuals in a species-rich bumblebee community in the diversification center of bumblebees. We used a total of 10,598 bumblebees belonging to 13 species across 5 years in the Hengduan Mountains of southwest China. First, we evaluated the influence of a comprehensive set of floral traits, including both those related to attractiveness (flower color and shape) and rewards (pollen, sugar ratio, nectar volume, sugar concentration, and amino acid content) on resource partitioning at the species level in bumblebee-plant networks. Then, we explored intraspecific resource partitioning on the colony and individual levels. Our results suggest that bumblebee species differ substantially in their use of the available floral resources, and that this mainly depends on flower attractiveness (floral color and shape). Interestingly, we also detected floral resource partitioning at the colony level within all commonest bumblebee species evaluated. In general, floral resource partitioning between bumblebee individuals decreased with species- and individual-level variation in body size (intertegular span). These results suggest that bumblebee species may coexist via the flexibility in their preferences for specific floral traits, which filters up to support the co-occurrence of high numbers of species and individuals in this global hotspot of species richness.

Consumer acceptance and valuation of quality‐improved food products derived by genome editing technology. A case study of rice in Vietnam

AbstractUnlike genetic modification, genome editing (GE) technologies can be used to yield transgene‐free outcomes, which is an important aspect in promoting consumer acceptance of GE foods. In addition, with the advent of the clustered regularly interspaced short palindromic repeats/Cas9 (CRISPR/Cas9) system, which is known to be exceptional among genome editing tools, GE has numerous potential applications in plant breeding technology to create diverse desirable traits, especially consumer‐targeted traits such as improved product quality and nutrition. It is expected that the GE foods market will overtake that of genetically modified (GM) foods. Although few GE products have been introduced to the market, some studies have already evaluated consumer acceptance and valuation of GE foods in comparison with GM and conventional foods. However, these studies mainly focused on traits relevant to cultivation efficiency and ignored consumer preferences for desirable traits. Further, it has been shown that consumers evaluate GE foods somewhat higher than GM foods; yet, as observed for GM foods, consumers expect a discounted price for GE foods. GE application for consumer‐targeted traits could, however, have a potentially positive effect on consumer acceptance. This study was conducted to evaluate consumer acceptance and valuation of quality‐improved consumer‐targeted GE products. We defined the determinants and estimated the willingness to pay a price premium for GE rice compared to GM and conventional rice by using the double‐bounded contingent valuation method under different information treatments. The survey was conducted in Vietnam, where consumers have not been exposed to information regarding GE via social media that could lead to a biased perspective. This context is ideal for investigating the effect of information provision during the introductory stage of GE products to the market. Our main findings suggest that consumers will widely accept quality‐improved GE foods targeted at consumer preferences, as well as the positive influence of in‐depth information provision on potential consumer acceptance. [EconLit Citations: Q10: Agriculture: General].

What Do Different People Look for in a Partner? Effects of Sex, Sexual Orientation, and Mating Strategies on Partner Preferences.

Partner preferences are an important differential in relationship formation and evolutionary fitness, and vary according to individual, ecological, and social factors. In this study, we evaluated the variation in preference for intelligence, kindness, physical attractiveness, health, and socioeconomic level among individuals of different sexes and sexual orientations in a Brazilian sample. We analyzed the preference scores of 778 heterosexual, bisexual, and homosexual men and women in three budgeted mate design tasks (low vs. medium vs. high budget) and their association with sociosexuality, attachment styles, homogamy, and willingness to engage in short- and long-term relationships. Results indicated a global trait preference order, with intelligence ranking first, followed by kindness, physical attractiveness, health, and lastly by socioeconomic status. Typical sex differences were observed mostly within the heterosexual group, and specific combinations of sex and sexual orientation were linked to variation in preference for physical attractiveness, kindness, and socioeconomic status. We also found unique associations of the other variables with partner preferences and with willingness to engage in short- or long-term relationships. By exploring the partner preferences of non-heterosexual individuals from a Latin American country, an underrepresented group in evolutionary psychology research, our results help understand the universal and specific factors that guide partner preferences and human sexual behavior.

A scoping review on tools and methods for trait prioritization in crop breeding programmes

Trait prioritization studies have guided research, development and investment decisions for public-sector crop breeding programmes since the 1970s, but the research design, methods and tools underpinning these studies are not well understood. We used PRISMA-ScR (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) to evaluate research on trait ranking for major crops over the past 40 years (1980–2023). Data extraction and descriptive analysis on 657 papers show uneven attention to crops, lack of systematic sex disaggregation and regional bias. The lack of standardized trait data taxonomy across studies, and inconsistent research design and data collection practices make cross-comparison of findings impossible. In addition, network mapping of authors and donors shows patterns of concentration and the presence of silos within research areas. This study contributes to the next generation of innovation in trait preference studies to produce more inclusive, demand-driven varietal design that moves beyond trait prioritization focused on productivity and yield.

Definition of sensory and instrumental thresholds of acceptability for selection of cassava genotypes with improved boiling properties.

Consumers of boiled cassava in Africa, Latin America and Asia use specific preference criteria to evaluate its cooking quality, in terms of texture, colour and taste. To improve adoption rates of improved cassava varieties intended for consumption after boiling, these preference criteria need to be determined, quantified and integrated as post-harvest quality traits in the target product profile of boiled cassava, so that breeding programs may screen candidate varieties based on both agronomic traits and consumer preference traits. Surveys of various end-user groups identified seven priority quality attributes of boiled cassava covering root preparation, visual aspect, taste and texture. Three populations of contrasted cassava genotypes, from good-cooking to bad-cooking, in three countries (Uganda, Benin, Colombia) were then characterized according to these quality attributes by sensory quantitative descriptive analysis (QDA) and by standard instrumental methods. Consumers' preferences of the texture attributes mealiness and hardness were also determined. By analysis of correlations, the consumers' preferences scores were translated into thresholds of acceptability in terms of QDA scores, then in terms of instrumental measurements (water absorption during boiling and texture analysis). The thresholds of acceptability were used to identify among the Colombian and Benin populations promising genotypes for boiled cassava quality. This work demonstrates the steps of determining priority quality attributes for boiled cassava and establishing their corresponding quantitative thresholds of acceptability. The information can then be included in boiled cassava target product profiles used by cassava breeders, for better selection and adoption rates of new varieties. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Demand-side and supply-side factors for accelerating varietal turnover in smallholder soybean farms

The rapid growth of soybean cultivation in the world augurs well for achieving SDG2 of promoting sustainable agriculture, ending hunger, achieving food security, and improving nutrition. India started promoting soybean cultivation in the 1970s to combat dietary protein deficiencies and augment smallholders' incomes. However, soybean yield remains low and plateaued at one ton per hectare for the past three decades. This paper leverages a large primary dataset and explores the speed of soybean varietal change by applying survival functions and analyzing determinants of varietal turnover time employing a dynamic framework and harnessing duration analysis. The results show that adopting leading soybean varieties has reached saturation and that policy intervention can have an immediate impact. The weighted average age of soybean varieties in farmers' fields is relatively high at 15.6 years, implying a slower varietal change rate. The lack of improved varieties with desirable traits, poor information flow, and growers’ preference for traits beyond yield-hamper faster varietal substitution. Further, analysis indicates regional variations in driving the speed of varietal replacement. The findings have significant implications for spurring soybean yields through investments in varietal development, leveraging modern molecular methods for long juvenility and photo-insensitivity, disseminating information, and institutional changes enabling the private sector participation in crop breeding.

Understanding specific gender dynamics in the cowpea value chain for key traits to inform cowpea breeding programs in Malawi, Mozambique and Tanzania.

Cowpea is an important food and nutrition security crop in Malawi, Mozambique and Tanzania and it is mainly produced by women farmers mainly on a subsistence scale. The majority of these farmers use local varieties despite the availability of improved varieties in the region. Low acceptability and adoption of improved varieties have also hampered cowpea breeding efforts. The low adoption, especially among women farmers, has been attributed to the failure by breeding programs to involve farmers in the process of designing and developing improved varieties with a view to meeting their priorities and preferences. Despite women constituting the majority of cowpea farmers in these countries, no comprehensive gender analysis on cowpea value chain had been instituted to understand the traits that are gender and youth responsive and how to incorporate them in the product profiling so that the developed varieties benefit men, women and youth. The main objective of the gender study was, therefore, to identify preferred traits by different gender groups within the whole cowpea value chain to inform cowpea breeding programs in the three countries. The study employed quantitative and qualitative methods to elucidate preferences, including value chain mapping, a quantitative survey of farmers, focus group discussions and key informant interviews targeting farmers/consumers, traders, policymakers and processors. Results showed that the top-ranking traits in order of importance across the countries and gender were; (1) high grain yield, (2) good grain taste, (3) early maturity time, (4) large grain size, (5) good leaf taste and (6) short cooking time. It was further noted that different gender groups preferred almost similar traits though minor variations were noted in terms of prioritization of these traits. These results have had two major influences on our cowpea breeding program: firstly, the breeding program changed the way it prioritizes traits to include ones that reflect the needs of men, women and the youth in the cowpea value chain. Secondly, our breeding objectives are closely aligned to gender differences in the target population of farmers and other users, by incorporating key priority traits that address the needs of both men and women, including the youth. That is to say, product targets and specific product profiles are more gender sensitive. Since the breeding work is ongoing, the expectation is that the development of improved varieties resulting from this gender sensitive process will translate into higher adoption levels of these varieties (compared with previous releases), which might have ripple effects on food, nutrition and income security in the region.

Gender‐differentiated preference for sweetpotato traits and their drivers among smallholder farmers: Implications for breeding

AbstractTo improve sweetpotato (Ipomoea batatas L.) productivity, several improved high‐yielding varieties have been developed by breeders. However, many farmers still grow low‐yielding landraces. Farmers choose varieties to grow based on their preference for the attributes of those varieties. Varietal preferences have been shown to differ between males and females. This study assessed farmer preferences for sweetpotato traits and the factors that drive the choice of most preferred traits. It used a uniquely large data set collected through personal interviews with male and female sweetpotato growers. The study employed multinomial probit regression to examine the drivers of trait preference. It finds a higher preference for production‐oriented traits among farmers in general and especially older ones. This is, however, lower among more educated farmers who mainly prefer risk‐averting traits, and those growing local varieties who mainly prefer quality traits. Hence, alongside production‐oriented traits, other traits critical for the acceptance of new varieties by farmers in their respective contexts should not be ignored.

Data-driven review on gender and rice varietal trait preferences in Bangladesh

In Bangladesh, farmers adapt to changing conditions through the adoption of improved varieties containing new or combined traits. The diverse varietal adoption decisions among farmers stem from gender-based differences in trait preferences. This review synthesizes existing knowledge to assess the nature, extent, and causes of gendered disparities in rice varietal trait preferences among farmers and consumers in Bangladesh. To enhance the data-driven nature of this review, we not only scrutinized secondary articles (45 documents) and databases but also incorporated and analyzed primary data on varietal adoption and trait preferences. The analysis revealed a pronounced need for rice breeding programs in Bangladesh to integrate both market and climate-smart traits, aligning with gender-specific needs in developing optimal rice product profiles. Analysis of primary data unveiled substantial variations in women and men farmers’ varietal trait preferences, influenced by factors like income, access to farming information, household size, land size, and decision-making. Consequently, addressing gender-differentiated trait preferences in the development of improved rice varieties is crucial to curtail farmers’ varietal adoption lag in Bangladesh. The findings underscore the necessity of systematic identification and integration of gender-differentiated varietal trait preferences into rice breeding programs. Failure to account for such preferences may disadvantage the gender-responsiveness of developed varieties and limit the anticipated impact. Therefore, understanding the biophysical, social, and cultural dynamics of diverse farmer groups from a gender perspective is imperative for achieving gender-responsive rice variety development in the context of Bangladesh. This process involves identifying key gender concerns for integration into rice breeding programs, ensuring a comprehensive approach to sustainable agriculture.

Group‐based and citizen science on‐farm variety selection approaches for bean growers in Central America

AbstractParticipatory approaches for crop variety testing can help breeding teams to incorporate traditional knowledge and consider site‐specific sociocultural complexities. However, traditional participatory approaches have drawbacks and are seldom streamlined or scaled. Decentralized on‐farm testing supported by citizen science addresses some of these challenges. In this study, we compare a citizen science on‐farm testing approach — triadic comparisons of technology options (tricot‐PVS) — with the benchmark state‐of‐the‐art group‐based participatory variety testing approach (group‐PVS) over a set of socioeconomic outcomes. We focus on on‐farm testing of common bean (Phaseolus vulgaris L.) in the Trifinio area of Central America. We measure the impact of these two approaches on bean growers in terms of on‐farm diversification and food security. We use data from 1978 smallholder farmers from 140 villages, which were randomly assigned to tricot‐PVS, group‐PVS or control. Utilizing a difference‐in‐difference model with inverse probability weighting and an instrumental variable approach, we observe that farmers involved in group‐PVS, and tricot‐PVS had comparable levels of on‐farm varietal diversification with respect to control farmers. Nonetheless, group‐PVS appears to be significantly more effective in boosting household food security, which can be attributed to improved agronomic management of the crops. This study contributes to the next generation of innovations in exploring trait preferences to produce more inclusive, demand‐driven varietal design that democratize participatory varietal selection programs.