香稻基因型产量与品质性状的遗传参数、相关及通径分析研究

R. Kondi, S. Kar, N. Mandawi
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引用次数: 2

摘要

在2020年秋季,巴斯塔尔Jagdalpur农业研究站S.G.学院遗传和植物育种科对41种优质香米基因型进行了21种产量、产量贡献和质量参数的研究。对于所有被调查的性状,方差分析表明基因型之间存在相当大的差异。发现PCV水平略大于GCV值,表明环境对字符表达有影响。株高、试重、抽穗恢复、粒长、粒宽、粒L:B、粒长、粒宽、粒L:B、碱扩散值、凝胶稠度、直链淀粉含量均具有较强的遗传力和GAM,表现为加性基因作用。籽粒产量plot-1与穗长、每穗实粒数、收获指数、试验重、粒宽、粒宽、直链淀粉含量、碱扩散值、籽粒伸长率、有效分蘖数、开花至50%的天数显著相关。直链淀粉含量与碱扩散值和籽粒伸长率呈正相关,与凝胶浓度呈负相关。遗传水平上通径分析表明,收获指数、有效分蘖数-1、粒宽、分蘖数- m2 -1、开花至50%天数、粒宽等性状与籽粒产量图-1存在显著相关性。在表型水平上,穗长、试重、有效分蘖数、籽粒宽度、开花至50%的天数、收获指数和籽粒伸长比都与籽粒产量表现出真实的关系。因此,从长远来看,选择这些参数将提高粮食产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of genetic parameters, correlation and path analysis for yield and quality characters in fine scented rice genotypes
During kharif 2020, the Section of Genetics and Plant Breeding at S.G. College of Agriculture and Research Station, Jagdalpur, Bastar (C.G.), examined 41 fine scented rice genotypes for 21 yield, yield contributing, and quality parameters. For all of the characters investigated, ANOVA demonstrated that there was considerable variation among genotypes. PCV levels were discovered to be slightly greater than GCV values, indicating that the environment has an impact on character expression. Plant height, test weight, head rice recovery, grain length, grain width, grain L:B, kernel length, kernel width, kernel L:B, alkali spreading value, gel consistency, and amylose content all had strong heritability and GAM, showing additive gene action. Grain yield plot-1 was significantly correlated with panicle length, total number of filled grains per panicle-1, harvest index, test weight, grain width, kernel width, amylose content, alkali spreading value, kernel elongation ratio, number of effective tillers plant-1, and days to 50% flowering. Amylose content was found to have a positive relationship with alkali spreading value and kernel elongation ratio, but a negative relationship with gel consistency.At the genetic level, path coefficient analysis revealed that traits such as harvest index, number of effective tillers plant-1, grain width, number of tillers square meter-1, days to 50% blooming, and kernel width had true associations with grain yield plot-1. At the phenotypic level, panicle length, test weight, number of effective tillers plant-1, kernel width, days to 50% flowering, harvest index, and kernel elongation ratio all showed a genuine relationship with grain yield plot-1. As a result, selecting these parameters will boost grain yield in the long run.
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