棉花适宜机采相关性状的SSR标记关联分析及优异等位基因挖掘
[Abstract]:Mechanical harvesting of cotton has high requirements for growth period, plant type and sensitivity to defoliant. In this study, 214 pairs of SSR markers covering the whole genome were used to study the plant height, initial node position and average length of the first fruit branch of 118 germplasm resources with one or more mechanically collected traits. Correlation analysis was carried out for 6 related characters of growth period and defoliation rate. The population structure was analyzed by Structure 2.3.1 software, and combined with 2 points and 12 repeated field phenotypic data for 2 years. The mixed linear model (MLM) of Tassel 5.0 was used to locate the population. Results 460 alleles were detected, involving 905 genotypes. The average genetic diversity index was 0.5151. The average PIC value was 0.4587. There were 99 markers whose genetic diversity index and PIC value were higher than the average. 46.3% of the total number of markers showed that the SSR markers had more allelic variances and higher genetic diversity. 118 tested materials were divided into 4 subgroups by population structure analysis. The results showed that there was no corresponding relationship between the materials and geographical sources. The results of correlation analysis showed that 124 loci related to 6 machine-picking related traits were detected under significant conditions (P0.05) in four environments. The interpretation rate of phenotypic variation was 2.23 and 14.15, among which 20 loci were detected under extremely significant conditions (P0.01), and the interpretation rate of phenotypic variation was 4.84% 14.15%. Based on the results of this study, 11 typical carrier materials were identified, which were line 7, Jinken 9, Y11, Yumian18AY-4K2, Chaoyang Mian2 DZ22, Zhongmiansuo 43C _ 2 and Guan Nongzao B14, respectively. The excellent alleles and parent resources to control cotton suitable for mechanical harvesting can provide theoretical basis for molecular assisted selection breeding of mechanically harvested cotton.
【作者单位】: 新疆农垦科学院棉花研究所/农业部西北内陆区棉花生物学与遗传育种重点实验室;新疆农业大学农学院;
【基金】:新疆生产建设兵团博士资金项目(2013BB001);新疆生产建设兵团重大科技项目(2016AA001-1) 国家自然科学基金项目(31260340)资助~~
【分类号】:S562
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