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Application of molecular markers to find out classificatory determinants of rice (Oryza sativa L.)

机译:应用分子标记物找出大米的分类决定因素(Oryza sativa L.)

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The present communication is aimed to find out determinants of molecular marker based classification of rice (Oryza sativa L) germplasm using the available data from an experiment conducted for development of molecular fingerprints of diverse varieties of Basmati and non Basmati rice adapted to irrigated and aerobic agro-eco systems. The distance-matrix based dendrogram was developed following UPGMA method that grouped all the 44 varieties agro-eco systems wise. We examined the clustering of Basmati and non- Basmati varieties in detail. The results suggest that the easily distinguishable simple characters viz. plant height, photosensitivity, leaf color, awn’s color, awns’ number etc., governed by major genes did not contribute significantly towards classification of rice genotypes used. The complex characters such as adaptation to agro-eco systems and rice quality may play vital role in determination of molecular marker based classification of rice genotypes.?Key word: Basmati rice, molecular markers, genetic diversity, agro-eco systems, rice quality.
机译:本交流旨在利用为开发适合灌溉和需氧农业的不同类型的印度香米和非印度香米的分子指纹开发实验而获得的可用数据,找出基于分子标记的水稻(Oryza sativa L)种质分类的决定因素。 -生态系统。基于距离矩阵的树状图是根据UPGMA方法开发的,该方法将所有44个变种的农业生态系统进行了明智的分组。我们详细研究了印度香米和非印度香米的聚类。结果表明,容易区分的简单字符即。由主要基因决定的株高,光敏性,叶色,芒的颜色,芒的数量等对所用水稻基因型的分类没有显着贡献。适应农业生态系统和稻米质量等复杂特征可能在确定基于分子标记的水稻基因型分类中起着至关重要的作用。关键词:印度香米,分子标记,遗传多样性,农业生态系统,稻米质量

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