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关于培育适合孟加拉国部分灌溉生态系统的气候智能型移植水稻品种BRRI dhan98的数据集。

Dataset on developing climate-smart transplanted rice variety BRRI dhan98 suitable for partially irrigated ecosystem in Bangladesh.

作者信息

Debsharma Sanjoy K, Akter Fahamida, Syed Md Abu, Islam Mohammad Rafiqul, Hasan Md Rokebul, Adil Md, Sarker Md Ruhul Amin, Karmakar Biswajit, Khatun Mahmuda

机构信息

Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.

Adaptive Research Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh.

出版信息

Data Brief. 2024 Nov 8;57:111092. doi: 10.1016/j.dib.2024.111092. eCollection 2024 Dec.

DOI:10.1016/j.dib.2024.111092
PMID:39640406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11617962/
Abstract

This dataset provides an in-depth analysis of rice yield and grain quality attributes in four successive four years across 27 diverse environments in Bangladesh. The analysis emphasizes assessing the performance of studied genotypes (GEN), environments (ENV), and their interrelations (GEI). The research aim is to detect a stable and adaptive rice cultivar that not only displays high yield, and better grain quality but also has molecular data to know favorable alleles and biotic and abiotic stress-related traits. The combined ANOVA revealed significant GEN, ENV, and GEI effects on grain yield ( ≤ 0.001). Cultivar BR9011-67-4-1 produced the highest mean yield at 4.77 t/ha, whereas BRRI dhan48 had the lowest yield at 4.66 t/ha. In the C1E2 environment, BR9011-67-4-1 exhibited the highest yield at 6.06 t/ha. The broad-sense heritability was found at 0.481 and selection accuracy was accounted (0.985). AMMI analysis displayed significant effects on yield from ENV, GEN, and GEI (<0.0001), with the first two principal components elucidating 100 % of the variance. BR9011-67-4-1 was found the most stable cultivar based on AMMI stability analysis, with the highest AMMI-based stability parameter (ASTAB), AMMI stability value (ASV), and AMMI stability index (ASI). Based on the GGE biplot, BR9011-67-4-1 performed better in eleven environments. In the grain quality analysis, BR9011-67-4-1 had the highest amylose (27.9 %) and protein content (9.5 %) compared to BR26 and BRRI dhan48. Head rice yield positively correlated with milled rice breadth and thousand seed weight. Based on single nucleotide polymorphism (SNP) markers, BR9011-67-4-1 possessed 9 significant QTLs having grain qualities traits (amylose content, chalkiness, and grain number), abiotic stress (salt and cold tolerance, drought), and biotic stress (blast, BLB, BPH) compare to other cultivars. Finally, the genotype BR9011-67-4-1 has been released as BRRI dhan98 in the year of 2020 by 103th National Seed Board committee and its outcome highlight the importance of selecting suitable cultivar for the commercial rice production throughout Bangladesh and accounting for environmental conditions in rice breeding programs

摘要

该数据集对孟加拉国27个不同环境下连续四年的水稻产量和谷物品质属性进行了深入分析。分析重点在于评估所研究基因型(GEN)、环境(ENV)及其相互关系(GEI)的表现。研究目的是检测出一个稳定且适应性强的水稻品种,该品种不仅产量高、谷物品质好,还拥有分子数据以了解有利等位基因以及与生物和非生物胁迫相关的性状。联合方差分析显示,GEN、ENV和GEI对谷物产量有显著影响(≤0.001)。品种BR9011 - 67 - 4 - 1的平均产量最高,为4.77吨/公顷,而BRRI dhan48的产量最低,为4.66吨/公顷。在C1E2环境中,BR9011 - 67 - 4 - 1的产量最高,为6.06吨/公顷。广义遗传力为0.481,选择准确性为0.985。AMMI分析显示ENV、GEN和GEI对产量有显著影响(<0.0001),前两个主成分解释了100%的变异。基于AMMI稳定性分析,BR9011 - 67 - 4 - 1被发现是最稳定的品种,具有最高的基于AMMI的稳定性参数(ASTAB)、AMMI稳定性值(ASV)和AMMI稳定性指数(ASI)。基于GGE双标图,BR9011 - 67 - 4 - 1在11个环境中表现更好。在谷物品质分析中,与BR26和BRRI dhan48相比,BR9011 - 67 - 4 - 1的直链淀粉含量最高(27.9%),蛋白质含量最高(9.5%)。整精米率与糙米宽度和千粒重呈正相关。基于单核苷酸多态性(SNP)标记,与其他品种相比,BR9011 - 67 - 4 - 1拥有9个与谷物品质性状(直链淀粉含量、垩白度和粒数)、非生物胁迫(耐盐性、耐寒性、耐旱性)和生物胁迫(稻瘟病、白叶枯病、褐飞虱)相关的显著数量性状位点(QTL)。最后,基因型BR9011 - 67 - 4 - 1于2020年被第103届国家种子委员会委员会发布为BRRI dhan98,其结果突出了为孟加拉国各地的商业水稻生产选择合适品种以及在水稻育种计划中考虑环境条件的重要性

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/a06558f3080b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/01fb64762651/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/5962988d5759/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/9d493746b08f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/a06558f3080b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/01fb64762651/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/5962988d5759/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/9d493746b08f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff51/11617962/a06558f3080b/gr4.jpg

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