花生关联分析群体构建及抗旱相关分子标记研究
[Abstract]:Arachis hypogaea L. is an important oil and economic crop, widely cultivated in the world. The flower production areas are mainly distributed in arid and semi-arid areas. Drought stress is the primary limiting factor affecting the yield and quality of peanuts. Drought resistance is a complex quantitative trait, influenced by the effect of micro gene and environment, therefore, developing flowers. Drought resistance related molecular markers were of great significance to improve the efficiency of drought resistant breeding by using marker assisted breeding technology. This study constructed the peanut association analysis group, and evaluated the population phenotype and genetic variation. At the same time, the drought resistance of population germplasm and agronomic and Yield Related drought resistance traits were systematically identified, and the correlation analysis was obtained by correlation analysis. A series of SSR markers associated with drought resistance and drought resistance were found and the phenotypic effects of allelic variation of associated markers were analyzed. A series of drought resistant alleles were obtained. A number of excellent drought resistant germplasms were screened and the allelic variations carried by excellent germplasms were preliminarily analyzed. The main results were as follows: (1) screening and constructing the package The results of phenotypic variation assessment of 268 germplasms showed that the variation coefficient of yield and quality related traits was between 20 important agronomy and 4.36%-49.94%; the traits were continuously distributed and conformed to the distribution characteristics of quantitative traits. The genetic diversity of genetic variation showed that the genetic diversity of the intermediate germplasm was more than that of the other classes. The group structure analysis was consistent with the genetic clustering results, which were closely related to the germplasm type and geographical distribution, and the genomic LD level analysis showed that the average R2 of the collinear locus of LD (P0.01) was 0.1453. The results of the model comparison showed that Q+K model was used in the analysis of the association between the sex and molecular markers of the population. The most suitable correlation analysis model. (2) the analysis of drought resistance and drought resistance of population germplasm showed that the variation range of drought resistance coefficient (DC) and drought resistance index (DI) were 0.76-1.33 and 0.28-1.59 respectively, and there was significant difference in drought resistance among germplasm, and the variation coefficient of yield and drought resistance was between 8.38%-50.97% and drought under different water conditions. Under stress, the variation range of 100 fruit weight, 100 kernel weight and kernel rate decreased, yield, single plant productivity, 500g fruit number, and higher traits of main stem increased; 13 personality traits could be grouped into two categories, yield, single plant productivity, 100 fruit weight, 100 kernel weight, fruit satiety rate, kernel rate, single plant result number traits and drought resistance, 500g fruit number, main stem height The number of branches, the number of branches and the effective branch length were negatively correlated with the drought resistance. (3) the 260 SSR markers covered about 75% of the genome of the germplasm genotypes were detected, and 1270 alleles were detected. The average number of alleles of the single marker was 2-15, and the average of the main allele frequency (MAF) was 0.194-0.989, The average variation in genetic diversity (GD) was 0.022-0.864, with an average of 0.488, and the variation of polymorphism information content (PIC) was 0.022-0.853, and the correlation analysis between 0.424. (4) markers and drought resistance and drought resistance showed that 8 markers were closely related to DC and DI, in which the markers AHGS1525 and AHGS1422 could be retested repeatedly, and The explanatory rate of phenotypic variation was 7.87%-13.66%; 27 markers were specific markers for drought stress, and 11 markers explained more than 5% for phenotypic variation; 27 markers were associated with yield and drought resistance under two water conditions, and 19 markers could be detected steadily in 3 or more environments and 18 markers to phenotypes. The interpretation rate of variation was greater than 5%; the relative values of 56 markers were significantly correlated with drought resistance, and 12 markers could be retested. Comprehensive analysis, 42 important markers of drought resistance related molecules were obtained, and clustered and unevenly distributed on the genetic linkage map of peanuts, among which the number of significant correlation markers in B06 groups was the most. (5) allelic variation of associated markers. The analysis showed that 11 drought stress specific markers were obtained 14 drought resistant and 18 drought resistant alleles respectively, and 27 individual stable association markers were respectively obtained 45 drought resistance and 53 drought adverse alleles, and 9 drought resistant trait relative markers had 7 drought resistance and 6 drought resistance respectively. 113 drought resistance related alleles were obtained by 42 drought resistant molecular markers, of which 52 were favorable alleles for drought resistance and 61 were adverse alleles of drought resistance. (6) Luhua11 (DC=1.00, DI=1.20) was the standard variety with strong drought resistance, and 47 excellent stable and stable germplasms were selected according to DC and DI. The 31 germplasm is a peanut variety or important breeding parent planted in a large area, and there are differences in allelic variation among different drought resistant germplasm carriers.
【学位授予单位】:山东农业大学
【学位级别】:博士
【学位授予年份】:2017
【分类号】:S565.2
【参考文献】
相关期刊论文 前10条
1 Hui Wang;Pawan Khera;Bingyan Huang;Mei Yuan;Ramesh Katam;Weijian Zhuang;Karen Harris-Shultz;Kim M.Moore;Albert K.Culbreath;Xinyou Zhang;Rajeev K.Varshney;Lianhui Xie;Baozhu Guo;;Analysis of genetic diversity and population structure of peanut cultivars and breeding lines from China, India and the US using simple sequence repeat markers[J];Journal of Integrative Plant Biology;2016年05期
2 龙海涛;李丽梅;谢泽虹;刘帅;李晓云;邓斌;刘海燕;李玲;;综合隶属函数法评价花生品种抗旱性与AhNCED1基因表达的关系[J];植物学报;2015年06期
3 严玫;张新友;韩锁义;黄冰艳;董文召;刘华;孙子淇;张忠信;汤丰收;;花生重要农艺及产量性状的全基因组关联分析[J];植物学报;2015年04期
4 Xiurong Zhang;Qian Wan;Fengzhen Liu;Kun Zhang;Aiqing Sun;Bing Luo;Li Sun;Yongshan Wan;;Molecular analysis of the chloroplast Cu/Zn-SOD gene(AhCSD2) in peanut[J];The Crop Journal;2015年03期
5 张俊;汤丰收;刘娟;臧秀旺;董文召;张忠信;徐静;苗利娟;;利用隶属函数法对不同花生品种的抗旱性评价[J];湖南农业科学;2014年23期
6 李文;万千;刘风珍;张昆;张秀荣;厉广辉;万勇善;;花生转录因子基因NAC4的等位变异分析[J];作物学报;2015年01期
7 曲杰;;干旱胁迫对不同类型花生根冠比和产量及品质的影响[J];农业科技通讯;2014年06期
8 厉广辉;张昆;刘风珍;刘丹丹;万勇善;;不同抗旱性花生品种的叶片形态及生理特性[J];中国农业科学;2014年04期
9 Huifang Jiang;Li Huang;Xiaoping Ren;Yuning Chen;Xiaojing Zhou;Youlin Xia;Jiaquan Huang;Yong Lei;Liying Yan;Liyun Wan;Boshou Liao;;Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection[J];Journal of Integrative Plant Biology;2014年02期
10 厉广辉;万勇善;刘风珍;张昆;;不同抗旱性花生品种根系形态及生理特性[J];作物学报;2014年03期
相关博士学位论文 前2条
1 闫彩霞;栽培花生遗传多样性及产量品质性状的关联分析[D];山东农业大学;2015年
2 任小平;中国主要花生改良品种遗传多样性及品质性状关联分析[D];中国农业科学院;2013年
相关硕士学位论文 前4条
1 张莹;干旱条件下小麦苗期和花后生物量QTL定位及抗旱性种质资源筛选[D];山东农业大学;2016年
2 姜雪;水稻苗期耐旱性基因位点的发掘[D];华中农业大学;2015年
3 李兰周;利用SSR标记构建花生遗传图谱及农艺性状的QTL分析[D];山东农业大学;2013年
4 王晓鹏;玉米抗旱性及产量相关性状的QTL分析[D];山东农业大学;2011年
,本文编号:2144978
本文链接:https://www.wllwen.com/shoufeilunwen/nykjbs/2144978.html