玉米(Zea mays L.)的变异及性状关联分析基因型

Masuma Rahman, A. Hoque, A. Hossain, A. Bari
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引用次数: 7

摘要

在孟加拉国农业大学Mymensingh遗传与植物育种系实验农场,对15个玉米(Zea mays L.)基因型进行了产量性状和产量归因性状的遗传变异、性状关联和差异评估。实验于2015年11月至2016年5月进行,采用随机完全块设计(RCBD),在两个相邻环境中进行3次重复,以观察基因型在相互作用环境中的表现。没有观察到环境的显著变化,这可能是由于它们的距离很近。所研究性状的基因型差异显著。表型变异系数(PCV)均高于基因变异系数(GCV)。千粒重、穗数-1和产量-1的遗传力和遗传推进力均较高。产量株-1与株高、穗长、穗围、壳围、粒长、千粒重、粒数行-1、粒数穗-1呈显著正相关,与开花天数和水分损失率呈显著负相关。通径协效分析表明,千粒重、粒数穗数-1和粒长对产量的直接正向贡献最大,而株高、穗长、穗长、粒数行数-1对产量的直接正向贡献为负,主要是由于几个参数的负间接影响。聚类分析显示出五个不同的群体。在产量和早熟性方面,聚类II表现最好,其次是聚类IV和聚类v。主成分分析(PCA)结果表明,前5个成分占总变异的82.7%。研究结果表明,玉米基因型间存在着丰富的遗传多样性,可为今后玉米种质资源的有效利用提供科学依据。农学家2017;15 (2) 101 - 114
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variability and Traits Association Analyses in Maize ( Zea mays L.) Genotypes
An experiment was conducted at the experimental farm of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh with fifteen maize ( Zea mays L.) genotypes to assess the genetic variability, characters association and divergence among the genotypes for yield and yield attributing traits. The experiment was conducted during November 2015 to May 2016, following Randomized Complete Block Design (RCBD) with three replicates in two adjacent environments to discern the performance of the genotypes in interacting environments. No significant variation was observed for environments, which was perhaps due to their close proximity. The genotypes differed significantly for most of the studied traits. The phenotypic co-efficient of variation (PCV) was higher than genotypic co-efficient of variation (GCV) for all the evaluated traits. High heritability along with high genetic advance was observed for 1000 seed weight, seed numbers ear -1 and yield plant -1 . Yield plant -1 was significantly associated with plant height, ear length, ear girth, husk girth, kernel length, 1000 seed weight, kernel numbers row -1 , seed numbers ear -1 in positive direction and negatively associated with days to anthesis and moisture loss (%). Path co-efficient analysis revealed that the maximum positive direct contribution towards yield was through 1000 seed weight, seed number ear -1 and kernel length whereas plant height, ear girth, ear length, kernel numbers row -1 showed negative direct contribution towards yield due to negative indirect effects of several parameters. Cluster analysis exhibited five distinct groups. Considering mean values Cluster II provided the best result in terms of yield and earliness, followed by Cluster IV and V. The results of principal component analysis (PCA) revealed that first five components accounted for 82.7% of total variation. The findings indicate the presence of ample genetic diversity among maize genotypes which can be exploited in future breeding program for better utilization of maize germplasm. The Agriculturists 2017; 15(2) 101-114
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