Association Analysis for Yield and its Attributing Components in Rice (Oriza sativa L) under Two Environments

Anjali Singh, O. Verma, A. Singh, A. Choudhary
{"title":"Association Analysis for Yield and its Attributing Components in Rice (Oriza sativa L) under Two Environments","authors":"Anjali Singh, O. Verma, A. Singh, A. Choudhary","doi":"10.56228/jart.2022.sp101","DOIUrl":null,"url":null,"abstract":"To enhance the yield potential of existing varieties along with creation of new varieties with stable and high yield potential is the basic aim of plant breeders. Keeping these points in view, his experiment was carried out to study the comparative performance and association of yield attributing characters with grain yield including path analysis in seventy three diverse rice genotypes at two research farms with different sodicity levels. The correlation coefficient analysis revealed the positively and significantly associated with productive tillers plant-1, fertile spikelet panicle-1, spikelet fertility %, biological yield plant-1 and 1000 grain weight while Path analysis showed biological yield plant-1, harvest index, chlorophyll content and 1000- grains weight had positive and high direct effect on grain yield respectively at both sodicity levels. Hence direct selection of any traits namely biological yield plant-1, harvest index, chlorophyll content and 1000 grain weight can be effective for future breeding programs to improve yield trait. Improvement in these traits will result in simultaneous improvement of yield.","PeriodicalId":418512,"journal":{"name":"Journal of Agriculture Research and Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agriculture Research and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56228/jart.2022.sp101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To enhance the yield potential of existing varieties along with creation of new varieties with stable and high yield potential is the basic aim of plant breeders. Keeping these points in view, his experiment was carried out to study the comparative performance and association of yield attributing characters with grain yield including path analysis in seventy three diverse rice genotypes at two research farms with different sodicity levels. The correlation coefficient analysis revealed the positively and significantly associated with productive tillers plant-1, fertile spikelet panicle-1, spikelet fertility %, biological yield plant-1 and 1000 grain weight while Path analysis showed biological yield plant-1, harvest index, chlorophyll content and 1000- grains weight had positive and high direct effect on grain yield respectively at both sodicity levels. Hence direct selection of any traits namely biological yield plant-1, harvest index, chlorophyll content and 1000 grain weight can be effective for future breeding programs to improve yield trait. Improvement in these traits will result in simultaneous improvement of yield.
两种环境下水稻产量及其归因因子的关联分析
提高现有品种的产量潜力,培育具有稳产和高产潜力的新品种,是植物育种的基本目标。基于这些观点,他在两个不同酸度水平的研究农场对73种不同水稻基因型进行了通径分析,研究了产量归因性状与籽粒产量的比较表现和关联。相关系数分析显示,在两种浓度水平下,有效分蘖株-1、可育小穗穗-1、小穗育性%、生物产量株-1和千粒重分别与产量呈显著正相关和极显著正相关;通径分析显示,生物产量株-1、收获指数、叶绿素含量和千粒重分别对产量有显著正相关和高直接影响。因此,直接选择任何性状,如生物产量植株1号、收获指数、叶绿素含量和千粒重,都可以有效地用于未来的育种计划,以提高产量性状。这些性状的改善将导致产量的同时提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信