Kader Md Abdul, Majumder Ratna Rani, Hore Tapas Kumer, Shaha Urmi Rani, Shalahuddin A K M, Akter Sanjida, Alam Zakaria, Kamruzzaman Mohammad
Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur 171, Bangladesh.
Entomology Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.
Data Brief. 2024 Jul 16;55:110757. doi: 10.1016/j.dib.2024.110757. eCollection 2024 Aug.
This dataset offers a comprehensive analysis of rice grain yield and quality traits over a period of three years, spanning 27 different environments in Bangladesh. The focus is on evaluating the performance of various genotypes (G), environments (E), and their interactions (GEI). The study's goal is to identify a stable and adaptive rice genotype that not only exhibits high-quality traits but also has a low glycemic index. The combined ANOVA showed significant effects of G, E, and GEI on grain yield ( ≤ 0.001). Genotype BRC266-5-1-1-1 achieved the highest average yield at 7.62 t/ha, while BRRI dhan28 had the lowest yield at 6.87 t/ha. In the Y2E4 environment, genotype BRC266-5-1-1-1 reached the highest yield at 8.86 t/ha. Genetic parameter estimation revealed significant effects of G, E, and GEI ( < 0.05), with GEI accounting for 82.85 % of the variance. The broad-sense heritability was low at 12 %, but the heritability of means was 0.80, indicating high selection accuracy (0.89). AMMI analysis showed significant effects from E (62.62 %) and GEI (16.19 %), with the first two principal components explaining 100 % of the variance. AMMI-based stability analysis identified BRC266-5-1-1-1 as the most stable genotype, with the highest AMMI-based stability parameter (ASTAB) at 2.11 and AMMI stability value (ASV) at 3.04. GGE biplot analysis revealed that BRC266-5-1-1-1 performed best in 14 environments. Quality trait analysis showed that BR16 and BRC266-5-1-1-1 had the highest milling outturn (70.90 %), with BRC266-5-1-1-1 also having the highest head rice yield (66.5 %). BRRIdhan28 had the highest glycemic index value (GIV) at 75.7, followed by BRC266-5-1-1-1 (55.04). These findings emphasize the significance of choosing appropriate genotypes for varietal release and taking environmental factors into account in rice breeding programs.
该数据集提供了对孟加拉国27个不同环境下三年水稻籽粒产量和品质性状的综合分析。重点是评估各种基因型（G）、环境（E）及其互作（GEI）的表现。该研究的目标是鉴定出一种稳定且适应性强的水稻基因型，其不仅具有高品质性状，而且血糖生成指数低。联合方差分析表明G、E和GEI对籽粒产量有显著影响（≤0.001）。基因型BRC266 - 5 - 1 - 1 - 1的平均产量最高，为7.62吨/公顷，而BRRI dhan28的产量最低，为6.87吨/公顷。在Y2E4环境中，基因型BRC266 - 5 - 1 - 1 - 1的产量最高，为8.86吨/公顷。遗传参数估计显示G、E和GEI有显著影响（<0.05），其中GEI占变异的82.85%。广义遗传力较低，为12%，但均值遗传力为0.80，表明选择准确性较高（0.89）。AMMI分析表明E（62.62%）和GEI（16.19%）有显著影响，前两个主成分解释了100%的变异。基于AMMI的稳定性分析确定BRC266 - 5 - 1 - 1 - 1是最稳定的基因型，其基于AMMI的稳定性参数（ASTAB）最高，为2.11，AMMI稳定性值（ASV）为3.04。GGE双标图分析表明BRC266 - 5 - 1 - 1 - 1在14个环境中表现最佳。品质性状分析表明，BR16和BRC266 - 5 - 1 - 1 - 1的出糙率最高（70.90%），BRC266 - 5 - 1 - 1 - 1的整精米率也最高（66.5%）。BRRIdhan28的血糖生成指数值（GIV）最高，为75.7，其次是BRC266 - 5 - 1 - 1 - 1（55.04）。这些发现强调了在水稻育种计划中选择合适的基因型用于品种发布并考虑环境因素的重要性。
