雨养环境下旱稻品种形态与遗传多样性研究

Bantalem Zeleke, Fisseha Worede
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引用次数: 0

摘要

在西北阿姆哈拉地区的Fogera进行了20个旱稻品种(9个NERICA和11个亲本)的形态性状变异研究。在每个小区随机选择10个植株(株高、穗长、茎长、旗叶长、每穗小穗数、每穗粒数、每穗实粒数、每株可育分蘖数、单株产量)和以小区为基础(抽穗天数、成熟期天数、灌浆期、千粒重、生物量产量、籽粒产量和收获指数)收集数据。主成分分析的结果表明,4个成分占总变异的76.7%,清楚地说明了所分析变量的结构。采用基于算术平均连锁(UWPGMA)的非加权对群方法进行聚类分析,将20个品种划分为5个不同的类群。最大簇间距离为;I类和V类之间的记录为8.05,I类和IV类之间的记录为6.67;聚类I和聚类III的杂种优势系数为5.5,表明这两个聚类的个体杂交可能产生高杂种优势。主成分分析结果与聚类分析结果吻合较好。这项研究为评价水稻品种的遗传多样性提供了有用的信息,并将为植物育种家筛选大种群和制定水稻改良的新育种方案指明道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphological and Genetic Diversity Study of Upland Rice Varieties under Rain-fed Environment
A field experiment was conducted at Fogera Northwest Amhara region to study the morphological traits to variability in 20 upland rice varieties, consisting of nine NERICA and eleven parents. The data were collected from ten randomly selected plants of each plot (plant height, panicle length, culm length, flag-leaf length, number of spikelet per panicle, number of grains per panicle, number of filled grains per panicle, numbers of fertile tillers per plant, yield per plant) and from plot bases (days to heading, days to maturity, grain-filling period, thousand-seed weight, biomass yield, grain yield, and harvest index). The results of the principal component analysis showed that four components account for 76.7% of the total variation, giving a clear idea of the structure underlying the variables analysed. Cluster analysis using un-weighted Pair Group Method using Arithmetic Average linkage (UWPGMA) classified the twenty varieties into five distinct groups. The maximum inter-cluster distances were; recorded 8.05 between cluster I & V, 6.67 between cluster I and IV; and 5.5 between Cluster I and III, indicating that the possibility of high heterosis if individuals from these clusters are cross bred. The results of the principal component analysis were closely in line with those of the cluster analysis. This study has provided useful information, on evaluation of genetic diversity of rice varieties and will indicate the way, how plant breeders screen out large populations and to develop new breeding protocols for rice improvement.
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