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首页> 外文期刊>Bangladesh Journal of Botany >Genetic divergence and principle component analysis in upland rainfed rice ( Oryza sativa L.)
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Genetic divergence and principle component analysis in upland rainfed rice ( Oryza sativa L.)

机译:旱稻的遗传差异和主成分分析。

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摘要

Genetic divergence and principle component analysis were worked out in 73 upland rainfed ricegenotypes consisting traditional varieties, local selections, advanced breeding lines and popular varieties forupland rainfed ecology from different regions of India. Based on ten agro-morphological characters, thesegenotypes were grouped into nine clusters. The composition of different clusters varied from 1 to 23genotypes. The maximum number of genotypes (23) was grouped in cluster IV followed by cluster V, I, VIII,II, IX, III, VI and I. Local selection from Marathwada region of Maharashtra exhibited maximum diversityand were represented in all the clusters except cluster VII. However, no parallelism was observed betweengeographic diversity and genetic diversity. Days to 50% flowering contributed maximum towards geneticdivergence (40.64%) followed by effective tillers per m2 (12.21%), yield per hectare (11.72%), spikeletfertility (10.69%) and plant height (8.98%). These could form the basis for selection of parents from distantlypaced cluster to obtain high heterotic combinations. Six principle components, accounting 92.78 of totalvariance were obtained from principle component analysis. First three PCs i.e. PC I, PC II and PC III,contributed 28.71, 20.57 and 14.81% of total variance with the discriminating power of 2.87, 2.57 and 1.48,respectively.
机译:在印度不同地区的73种旱地水稻育种基因型上进行了遗传差异和主成分分析,这些基因型包括传统品种,当地选择,先进育种系和流行的旱地水稻育种。根据十个农业形态学特征,将这些基因型分为九类。不同簇的组成从1到23个基因型变化。基因型的最大数目(23)在群集IV中分组,其次是群集V,I,VIII,II,IX,III,VI和I。马哈拉施特拉邦马拉地瓦达地区的局部选择表现出最大的多样性,并且除群集外在所有群集中都有代表七。但是,在地理多样性和遗传多样性之间没有发现平行性。开花至50%的天数对遗传多样性的贡献最大(40.64%),其次是每平方米的有效分till(12.21%),每公顷产量(11.72%),小穗受精(10.69%)和株高(8.98%)。这些可以构成从遥远的簇中选择亲本以获得高杂种组合的基础。通过主成分分析获得了六个主成分,占总方差的92.78。前三个PC,即PC I,PC II和PC III,分别贡献了28.71%,20.57%和14.81%的总方差,分别具有2.87、2.57和1.48的辨别力。

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