面包小麦(Triticum aestivum L. em. Thell)基因型的遗传多样性估计

Sivendra Joshi, J. Jaiswal, Anil Kumar
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摘要

Triticum aestivum L. em.面包小麦(Triticum aestivum L.em)是全球重要的主食作物,对热量和蛋白质的摄入有重要贡献。它的六倍体性质由三个基因组(AA、BB、DD)组成,是自然杂交的结果,提高了其农业意义。绿色革命期间出现的高产栽培品种大幅提高了小麦产量,其适应性和自花授粉特性进一步巩固了其在粮食生产中的重要性。小麦的遗传多样性对于提高抗逆性和产量等性状至关重要。本研究利用 24 个基因型,强调了估计小麦基因型遗传变异的必要性。研究评估了面包小麦基因型的遗传参数和各种形态生理性状的多样性,重点关注其变异性和遗传改良潜力。研究估算了打顶日数、株高、花序梗长度和谷物产量等性状的主要遗传参数,包括变异系数(CV)、基因型变异系数(GCV)、表型变异系数(PCV)和遗传进展占平均值的百分比(GAM)。打顶天数的变异性较低,而株高的遗传变异较大,这表明小麦具有良好的改良潜力。根据 Mahalanobis 分歧和 Tocher 方法,小麦基因型被分为五个不同的群组,显示出显著的遗传多样性。由 18 个基因型组成的簇 I 显示出最大的簇内距离,而簇 III 和簇 V 则显示出最大的簇间距离。对不同聚类的性状分析突出显示了小麦在打顶天数、株高、谷物产量和其他性状方面的差异,强调了小麦的遗传多样性和选择性育种的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Genetic Diversity among Bread Wheat (Triticum aestivum L. em. Thell) Genotypes
Triticum aestivum L. em. Thell, known as bread wheat, is a vital staple crop globally, contributing significantly to caloric and protein intake. Its hexaploid nature, comprising three genomes (AA, BB, DD), resulted from natural hybridization, enhancing its agricultural significance. The advent of high-yielding cultivars during the Green Revolution drastically increased wheat yields, and its adaptability and self-pollinating characteristics further solidified its importance in food production. Genetic diversity within Triticum aestivum is crucial for improving traits such as stress tolerance and yield. This study highlights the necessity of estimating genetic variability among wheat genotypes, utilizing 24 genotypes. The study assesses the genetic parameters and diversity of various morpho-physiological traits in bread wheat genotypes, focusing on their variability and potential for genetic improvement. Key genetic parameters including the coefficient of variation (CV), genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), and genetic advance as a percentage of mean (GAM) were estimated for traits such as days to heading, plant height, peduncle length, and grain yield. Days to heading exhibited low variability, while plant height showed considerable genetic variation, indicating a good potential for improvement. The wheat genotypes were grouped into five distinct clusters based on Mahalanobis divergence and Tocher's method, revealing significant genetic diversity. Cluster I, comprising eighteen genotypes, displayed the highest intra-cluster distance, while Clusters III and V showed the greatest inter-cluster distance. Trait analysis across clusters highlighted variations in days to heading, plant height, grain yield, and other traits, emphasizing the genetic diversity and potential for selective breeding in wheat.
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