Suman K, Madhubabu P, Rathod Ramya, Sanjeeva Rao D, Rojarani A, Prashant S, Subbarao L V, Ravindrababu V, Neeraja C N
Indian Institute of Rice Research, Rajendra Nagar, Hyderabad 500 030, India.
J Genet. 2020;99.
A set of 24 genotypes were studied for 17 grain quality characters and validated with the reported associated rice microsatellite markers with grain quality characters. Using 23 polymorphic markers distributed across 11 chromosomes marker-trait associations were studied. The percentage of polymorphism information content (PIC) of the markers ranged between 54.0 and 86.7. Eight markers with >80% and seven markers with >70% of PIC were found to be efficient in differentiating the studied grain quality characters. A total of 37 significant marker-trait associations (P ≤ 0.09) were found with ranging from 4.70% to 43.80%. Eight markers a (RM246, RM11, RM241, RM16427, RM421, RM3, RM234 and RM257) showed association with more than one character suggesting their utility for the selection for grain quality characters which can be deployed in the rice crop improvement programmes.
对24种基因型进行了17个籽粒品质性状的研究，并用已报道的与籽粒品质性状相关的水稻微卫星标记进行了验证。利用分布在11条染色体上的23个多态性标记研究了标记-性状关联。这些标记的多态性信息含量（PIC）百分比在54.0至86.7之间。发现8个PIC>80%的标记和7个PIC>70%的标记在区分所研究的籽粒品质性状方面是有效的。共发现37个显著的标记-性状关联（P≤0.09），贡献率在4.70%至43.80%之间。8个标记（RM246、RM11、RM241、RM16427、RM421、RM3、RM234和RM257）与多个性状相关，表明它们在籽粒品质性状选择中的实用性，可用于水稻作物改良计划。
