Division of Genetics and Plant Breeding, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, J&K, 193201, India.
Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, (SKUAST-K), Shalimar, J&K, 190025, India.
Mol Biol Rep. 2022 Jul;49(7):7145-7155. doi: 10.1007/s11033-022-07609-5. Epub 2022 Jun 18.
Characterization and evaluation of plant genetic resources play an important role for their utilization in the crop improvement programmes.
This study involves the agro-morphological and cooking quality besides, molecular characterization of 51 genotypes/advance breeding lines of rice from Kashmir Himalayas. Significant variability was observed for all agro-morphological and cooking quality traits among all the studied genotypes. Cluster analysis using UPGMA method divided the genotypes into two major clusters having 15 and 36 genotypes. Thirty eight genotypes screened using 24 SSR markers detected 48 alleles with 2.0 alleles for each locus with average polymorphism information content (PIC) of 0.37. High polymorphism information content (PIC) values was observed for the primers RM263 (0.67), RM159 (0.59) and RM333 (0.50). Furthermore, out of 38 SSR markers screened on 192 temperate rice germpalsm lines, R4M17 accurately differentiated indica and temperate japonica genotypes amplifying 220 bp and 169 bp, respectively. Accordingly, 15 genotypes were reported as indica and 28 temperate japonica in addition to 149 genotypes as intermediate types.
The information on marker-based diversity and performance based on cooking quality and agronomic traits helped to select the most divergent lines for crossing. Also the analysis was useful to classify the temperate germplasm into indica and temperate japonica. The classification could be helpful to devise a strategy for inter-sub species hybridization to breed for improved rice varieties.
植物遗传资源的特征描述和评估对于其在作物改良计划中的利用至关重要。
本研究涉及来自克什米尔喜马拉雅山的 51 个水稻基因型/先进育种系的农艺形态和烹饪品质特征，以及分子特征。所有研究基因型的所有农艺形态和烹饪品质特征均表现出显著的可变性。使用 UPGMA 方法的聚类分析将基因型分为两个主要聚类，每个聚类包含 15 和 36 个基因型。使用 24 个 SSR 标记筛选的 38 个基因型检测到 48 个等位基因，每个位点有 2.0 个等位基因，平均多态性信息含量 (PIC) 为 0.37。引物 RM263（0.67）、RM159（0.59）和 RM333（0.50）表现出较高的多态性信息含量 (PIC) 值。此外，在对 192 个温带水稻种质系进行的 38 个 SSR 标记筛选中，R4M17 准确地区分了籼稻和温带粳稻基因型，分别扩增出 220 bp 和 169 bp。据此，有 15 个基因型被报告为籼稻，28 个为温带粳稻，此外还有 149 个为中间类型。
基于标记的多样性信息和基于烹饪品质和农艺性状的表现有助于选择最具差异的系进行杂交。此外，该分析有助于将温带种质分为籼稻和温带粳稻。这种分类可以帮助制定亚种间杂交的策略，以培育改良的水稻品种。
