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 , Fahamida Akter , Md. Abu Syed , Mohammad Rafiqul Islam , Md. Rokebul Hasan , Md. Adil , Md. Ruhul Amin Sarker , Biswajit Karmakar , 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 (<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 , Fahamida Akter , Md. Abu Syed , Mohammad Rafiqul Islam , Md. Rokebul Hasan , Md. Adil , Md. Ruhul Amin Sarker , Biswajit Karmakar , 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 (<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}
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.
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.