{"title":"Performance, adaptability, and multi-trait stability of rice varieties (Oryza sativa L.) in rainfed conditions","authors":"Md. Kawsar Alam Nadim, Motabber Rahman, Md. Rayhan Sikder, Sourav Adhikary, Nusrat Binta Atiq, Md. Mahbubul Alam, Mariom Mitu, Tasnim Zerin Khan, Md. Rashedul Islam, Zakaria Alam, Sanjida Akter","doi":"10.1002/agg2.70038","DOIUrl":null,"url":null,"abstract":"<p>Rainfed rice (<i>Oryza sativa</i> L.) cultivation is crucial for meeting food demand in regions like Bangladesh, where irrigation resources are scarce. A study was conducted in five rainfed districts during the 2022 Aman season. The objective was to assess grain yield performance, adaptation patterns, and identify a stable rice variety using multiple trait evaluations. The results showed that Binadhan-17 produced the highest grain yield, reaching 5.58 t/ha, with its maximum yield recorded in Gopalganj at 6.12 t/ha. Heritability estimates from a linear mixed model were high for plant height (0.93) and grain yield (0.65), with genotypic variance contributing 92.70% and 64.84% to these traits, respectively. A negative correlation (<i>r</i> = −0.43) indicated that shorter varieties tend to perform better for grain yield. Stability analysis using weighted average absolute scores and best linear unbiased prediction identified Binadhan-17 as the most stable for grain yield, while the genotype–genotype environment biplot confirmed its adaptability across all locations. Factor analysis of the multi-trait stability index showed stability across traits, with selection gains from 1.49% to 6.99%. Binadhan-22 was identified as the most stable for average performance and multi-trait stability. Given its high yield and consistent performance across environments, Binadhan-17 is recommended for large-scale cultivation, while Binadhan-22 offers a reliable, stable alternative across various traits.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70038","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agrosystems, Geosciences & Environment","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/agg2.70038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Rainfed rice (Oryza sativa L.) cultivation is crucial for meeting food demand in regions like Bangladesh, where irrigation resources are scarce. A study was conducted in five rainfed districts during the 2022 Aman season. The objective was to assess grain yield performance, adaptation patterns, and identify a stable rice variety using multiple trait evaluations. The results showed that Binadhan-17 produced the highest grain yield, reaching 5.58 t/ha, with its maximum yield recorded in Gopalganj at 6.12 t/ha. Heritability estimates from a linear mixed model were high for plant height (0.93) and grain yield (0.65), with genotypic variance contributing 92.70% and 64.84% to these traits, respectively. A negative correlation (r = −0.43) indicated that shorter varieties tend to perform better for grain yield. Stability analysis using weighted average absolute scores and best linear unbiased prediction identified Binadhan-17 as the most stable for grain yield, while the genotype–genotype environment biplot confirmed its adaptability across all locations. Factor analysis of the multi-trait stability index showed stability across traits, with selection gains from 1.49% to 6.99%. Binadhan-22 was identified as the most stable for average performance and multi-trait stability. Given its high yield and consistent performance across environments, Binadhan-17 is recommended for large-scale cultivation, while Binadhan-22 offers a reliable, stable alternative across various traits.