Farmers' perceptions and trait preferences for improved non-basmati rice varieties: Insights from an action research in Eastern India
Farmers participation and trait performances for non-basmati rice
58 / 7
Keywords:
Adoption, Demonstration, Perception, Preference, Rice variety, Varietal traitAbstract
Understanding farmers' perceptions and trait preferences is critical for developing rice varieties with high adoption potential. This study adopts an action research approach to evaluate farmer-perceived traits of eight improved rice varieties released within the last decade by Central Rice Research Institute (CRRI), Cuttack, India. Data were collected from 202 farmers (n = 202) across eleven districts in four eastern Indian states - Odisha, West Bengal, Bihar, and Chhattisgarh using household surveys, personal interviews, and focus group discussions conducted after on-farm demonstrations in the farmers' fields. Farmers rated five agronomic traits (tillering capacity, insect and pest resistance, disease resistance, weed competitiveness and lodging resistance) and three market related traits (grain type, cooking quality and marketability) on a 10-point scale. Non-parametric analyses (Kruskal-Wallis H test and Dunn's post hoc test) revealed significant variation in trait perceptions across varieties. CR Dhan 314 was consistently preferred for agronomic performance, while CR Dhan 315 and CR Dhan 510 received the highest ratings for grain type, cooking quality, and marketability. Farmers primarily valued tillering capacity, lodging resistance, and insect-pest resistance in the demonstrated varieties. Demonstration yields were consistent with farmers perceptions of key agronomic traits. The findings indicate that farmers' varietal choices are shaped by a combination of field performance, market potential, and livelihood considerations. Integrating farmer preferences into rice breeding and dissemination strategies following participatory and action research approaches can enhance adoption and impact.
References
Aristya VE, Minarsih S, Kristamtini, Arsana GKD, Samijan Widyayanti S et al. (2025). Participatory rice breeding in rainfed land to sustainable agriculture. Phyton-International Journal of Experimental Botany 94 (7): 2055-2073 https://doi.org/10.32604/phyton.2025.065227
Bhattacharyya P, Chakraborty K, Molla KA, Poonam A, Bhaduri D, Sah RP, Paul S, Hanjagi PS, Basana-Gowda G., Swain P (Eds.) (2022). Climate Resilient Technologies for Rice based Production Systems in Eastern India. ICAR-National Rice Research Institute, Cuttack, Odisha, India pp. 408 ISBN: 818840902-2
Bisen JP, Mondal B, Samal S, Paul S, Sah RP, Anilkumar C et al. (2024). Translating Science for the benefits of society: the direct and indirect impacts of NRRI. NRRI Research Bulletin No. 45. ICAR-NRRI, Cuttack, Odisha, India pp. 48+viii
Chinni D, Rao SV, Kumar RKN, Kumar SM, Suneetha Y, Sreenivasulu KN (2023). An analysis on farmers' preference for rice varietal traits in Godavari districts of Andhra Pradesh. International Journal of Statistics and Applied Mathematics 8(3): 185-188. https://doi.org/10.22271/maths.2023.v8.i3Sc.1018
Custodio MC, Cuevas RP, Ynion J, Laborte AG, Velasco ML, Demont M (2019). Rice quality: how is it defined by consumers, industry, food scientists, and geneticists. Trends in Food Science and Technology 92:122-137 https://10.1016/j.tifs.2019.07.039
Kokate KD, Dubey S, Sah U and Paul S (2016). Tools, policies and practices in farm technology delivery system: a review, International Journal of Current Research 8 (5): 31438-31445
Laborte AG, Paguirigan NC, Moya PF, Nelson A, Sparks AH, Gregorio GB (2015). Farmers' preference for rice traits: insights from farm surveys in central Luzon, Philippines, 1966-2012. PLoS One 10(8): e0136562 https://doi.org/10.1371/journal.pone.0136562
Li R, Li M, Ashraf U, Liu S, Zhang J (2019). Exploring the relationships between yield and yield-related traits for rice varieties released in China from 1978 to 2017. Frontiers in Plant Science 10: 543 https://doi.org/10.3389/fpls.2019.00543
Mallick S, Roy Burman R, Padaria RN, Mahra GS, Aditya K, Shekhawat K, Satyapriya Paul S, Sahu S, Bishnoi S, Singh R, Manjunath KK, Saini S, Mukherjee S (2025). Exploring farmers' psychological perspectives on multimedia-based agro-advisory services. Scientific Reports 15: 8898. https://doi.org/10.1038/s41598-025-92936-3
Mariano MJ, Villano R, Fleming E (2012). Factors influencing farmers' adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems 110: 41-53
Mehar M, Padmaja SS, Prasad N (2022). Coping with climate stress in eastern India: farmers' adoption of stress-tolerant rice varieties. Journal of Agriculture and Development19(1): 43-60. https://doi.org/10.37801/ajad2022.19.1.3Mullangie DP, Thiyagarajan K, Swaminathan M, Ramalingam J, Natarajan S Govindan S (2024). Breeding resilience: exploring lodging resistance mechanisms in rice. Rice Science 31(6): 659-672 https://doi.org/10.1016/j.rsci.2024.08.002
Ogle DH, Doll JC, Wheeler AP, Dinno A (2025). FSA: Simple Fisheries Stock Assessment Methods. https://doi.org/10.32614/CRAN.package.FSA. R package version 0.10.0 https://CRAN.R-project.org/package=FSA
Paul S, Chakraborty D, Tripathi AK (2025). Frontline extension services as a buffer against social vulnerability to climate change: A case study of shifting cultivators in Northeast India. Journal of Environmental Management 377(2025): 124607 https://doi.org/10.1016/j.jenvman.2025.124607
Paul S, Chakraborty D, Tripathi AK and Padaria RN (2023a). A Comparison between climate change perceptions and meteorological observations to improve the understanding of adaptation decisions in shifting cultivation. Theoretical and Applied Climatology. 153: 1139-1155 https://doi.org/10.1007/s00704-023-04521-1
Paul S, Mondal B, Jambhulkar NN, Pradhan A and Kumar GAK (2023b). Impact of minimum support price (MSP) on paddy cultivation: a micro level assessment. Current Science 125 (3): 277 - 282
Paul S, Mridha N, Sangeetha V and Singh P (2021). Development of a Composite Measure for Mapping Rural Food and Nutrition Security: Application and Validation in the Drought-prone Bundelkhand Region of India. Food Security 13: 617-635
Ray SK, Barman KK, Paul S, Chuilo R, Rajkhowa DJ, S Baishya S, Deka BC (2019). Utilization of Rice Fallow through Cluster Frontline Demonstration Programme: An Adaptive Research Trial on Mustard. Journal of Community Mobilization and Sustainable Development 14(3): 439-446
Ray SK, Chatterjee D, Rajkhowa DJ, Baishya SK, Hazarika S and Paul S (2020). Effects of integrated farming system and rainwater harvesting on livelihood improvement in North-Eastern region of India compared to traditional shifting cultivation: evidence from an action research. Agroforestry Systems 94: 451-464
Roy Burman R, Sharma JP, Padaria RN, Gills R, Adhiguru P, Pal PP, Dubey SK, Murai AS and Paul S (2020). Comparative study on extent of adoption and economic impact of NARS paddy varieties in Indo-Gangetic plains of India. Indian Journal of Agricultural Sciences 90 (2): 331-336
Sall S, Norman D, Featherstone AM (2000). Quantitative assessment of improved rice variety adoption: the farmer's perspective. Agricultural Systems 66 (2): 129-144
Sangeetha V, Bishnoi S, Venkatesh P, Singh P, Satyapriya Lenin V, Paul S, Barua S, Murali Krishnan L, Singh S (2018). Rural households' preferences for nutri-cereals supplied through public distribution system: a discrete choice experiment. Agricultural Economics Research Review 31 (Conference No.): 57-63
Sangeetha V, Venkatesh P, Singh P, Satyapriya Lenin V, Paul S, Mahara GS, Muralikrishnan L, Barua S, Sitaram Singh T, Dubey SK and Yadav M (2019). Dietary diversity: Determinants and its relationship with nutritional outcomes in Uttar Pradesh. Indian Journal of Agricultural Economics 74 (3): 444-460
Som S, Roy Burman R, Sharma JP, Singh AK and Paul S (2019). Impact of Mera Gaon Mera Gaurav (MGMG) Programme in Uttar Pradesh and Haryana. Indian Journal of Agricultural Sciences 89 (7): 1115-1120.
Srivastava SK, Kolady D, Paul S (2023). Changing Food Consumption Pattern and Its Implications on Achieving Zero Hunger in India (SDG-2). In: Narula, S.A., Raj, S.P. (eds) Sustainable Food Value Chain Development. Springer, Singapore. https://doi.org/10.1007/978-981-19-6454-1_9
Suvi WT, Shimelis H, Laing M (2021). Farmers' perceptions, production constraints and variety preferences of rice in Tanzania. Journal of Crop Improvement 35(1): 51-68
Zhang B, Cai Y, Hu Z, Xie N and Li J (2025). Research on farmers' willingness to grow high-quality rice based on the TAM-TPB model: evidence from China. Frontiers in Nutrition. 12: 1535720. https://doi.org/10.3389/fnut.2025.1535720
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2026 ORYZA-An International Journal of Rice

This work is licensed under a Creative Commons Attribution 4.0 International License.