开发适合孟加拉国部分灌溉生态系统的气候智能型移栽 Aus 稻品种 BRRI dhan98 的数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-08 DOI:10.1016/j.dib.2024.111092
Sanjoy K. Debsharma , Fahamida Akter , Md. Abu Syed , Mohammad Rafiqul Islam , Md. Rokebul Hasan , Md. Adil , Md. Ruhul Amin Sarker , Biswajit Karmakar , Mahmuda Khatun
{"title":"开发适合孟加拉国部分灌溉生态系统的气候智能型移栽 Aus 稻品种 BRRI dhan98 的数据集","authors":"Sanjoy K. Debsharma ,&nbsp;Fahamida Akter ,&nbsp;Md. Abu Syed ,&nbsp;Mohammad Rafiqul Islam ,&nbsp;Md. Rokebul Hasan ,&nbsp;Md. Adil ,&nbsp;Md. Ruhul Amin Sarker ,&nbsp;Biswajit Karmakar ,&nbsp;Mahmuda Khatun","doi":"10.1016/j.dib.2024.111092","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>p</em> ≤ 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 (&lt;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<em>.</em></div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"Article 111092"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dataset on developing climate-smart transplanted Aus rice variety BRRI dhan98 suitable for partially irrigated ecosystem in Bangladesh\",\"authors\":\"Sanjoy K. Debsharma ,&nbsp;Fahamida Akter ,&nbsp;Md. Abu Syed ,&nbsp;Mohammad Rafiqul Islam ,&nbsp;Md. Rokebul Hasan ,&nbsp;Md. Adil ,&nbsp;Md. Ruhul Amin Sarker ,&nbsp;Biswajit Karmakar ,&nbsp;Mahmuda Khatun\",\"doi\":\"10.1016/j.dib.2024.111092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (<em>p</em> ≤ 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 (&lt;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<em>.</em></div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"57 \",\"pages\":\"Article 111092\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340924010540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340924010540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

该数据集深入分析了孟加拉国 27 种不同环境下连续四年的水稻产量和谷物品质属性。分析的重点是评估所研究的基因型(GEN)、环境(ENV)及其相互关系(GEI)的表现。研究的目的是发现一种稳定的、适应性强的水稻栽培品种,这种品种不仅产量高、谷物品质好,而且还能通过分子数据了解有利等位基因以及与生物和非生物胁迫相关的性状。综合方差分析显示,GEN、ENV 和 GEI 对谷物产量有显著影响(p ≤ 0.001)。栽培品种 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 产量最高,为 6.06 吨/公顷。广义遗传力为 0.481,选择精确度为 0.985。AMMI分析显示,ENV、GEN和GEI对产量有显著影响(<0.0001),前两个主成分阐明了100%的方差。根据 AMMI 稳定性分析,BR9011-67-4-1 是最稳定的栽培品种,其基于 AMMI 的稳定性参数(ASTAB)、AMMI 稳定性值(ASV)和 AMMI 稳定性指数(ASI)均最高。根据 GGE 双图,BR9011-67-4-1 在 11 种环境中表现较好。在谷粒品质分析中,与 BR26 和 BRRI dhan48 相比,BR9011-67-4-1 的直链淀粉含量(27.9%)和蛋白质含量(9.5%)最高。头米产量与碾米宽度和千粒重呈正相关。根据单核苷酸多态性(SNP)标记,与其他品种相比,BR9011-67-4-1 在谷粒品质性状(直链淀粉含量、垩白度和粒数)、非生物胁迫(耐盐性和耐寒性、干旱)和生物胁迫(稻瘟病、白叶枯病、BPH)方面具有 9 个显著的 QTLs。最后,BR9011-67-4-1 基因型已于 2020 年由第 103 届国家种子委员会发布为 BRRI dhan98,其结果突显了为孟加拉国商业化水稻生产选择合适的栽培品种以及在水稻育种计划中考虑环境条件的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dataset on developing climate-smart transplanted Aus rice variety BRRI dhan98 suitable for partially irrigated ecosystem in Bangladesh
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 (p ≤ 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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
期刊最新文献
Characterization of the complete mitogenome data of collared peccary, Dicotyles tajacu (Linnaeus, 1758) (Suina: Tayassuidae) from Ucayali, Peru Microbial community assembly across agricultural soil mineral mesocosms revealed by 16S rRNA gene amplicon sequencing data Climate impact dataset of 1233 ingredients to promote sustainability of food service operators in Finland BD-freshwater-fish: An image dataset from Bangladesh for AI-powered automatic fish species classification and detection toward smart aquaculture Interactive plant growth regulator and fertilizer application dataset on growth and yield attributes of tomato (Solanum lycopersicum L.)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1