| Identification of drought resistance and SNP correlation analysis of wheat seedling introduced from ICARDA |
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| DOI：10.7606/j.issn.1000-7601.2024.03.03 |
| Key Words: wheat drought resistance identification SNP association analysis |
| Author Name | Affiliation | | LI Yunxiang | College of Eco\|Environmental Engineering, Qinghai University, Xining, Qinghai 810016, China | | HOU Wanwei | Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China
National Crop Germplasm Resources Duplex Database, Xining, Qinghai 810016, China | | ZHANG Xiaojuan | College of Eco\|Environmental Engineering, Qinghai University, Xining, Qinghai 810016, China |
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| Abstract: |
| 160 wheat samples imported from the International Center for Agricultural Research in the Dry Areas (ICARDA) were used as the research objects. Treating with 20% PEG-6000 simulated drought conditions at the seedling stage, and the effects of arid environment on seven seedling related traits (plant height, maximum root length, root number, straw fresh mass, straw dry mass, root fresh mass and root dry mass) were analyzed by using the comprehensive evaluation values, and the drought resistance coefficients of drought\|related traits at the seedling stage of 159 (excluded one unqualified sample) wheat were analyzed by combining 55K SNP markers. The results of drought resistance identification showed that the correlation of each seedling stage under drought treatment was lower than the normal treatment level. According to the comprehensive evaluation value and systematic clustering, 160 wheat samples were divided into four categories: high drought resistance (5 samples), medium drought resistance (53 samples), low drought resistance (97 samples), and drought sensitivity (5 samples). Five high drought resistant varieties were selected during the seedling stage, including ICARDA69, ICARDA51, ICARDA49, ICARDA83, and ICARDA84,and their D values were 0.823, 0.813, 0.765, 0.722, and 0.711, respectively. The association analysis results showed that a total of 227 drought resistance related markers were located at the P≤0.001 level using 24151 SNP marker loci combined with seedling related traits, distributed on 17 chromosomes except 1B, 2D, 4D, and 6D, which explained phenotypic variations of 7.13%~14.68%. Three multiple effector loci were detected, located on chromosomes 4B, 5B, and 6A respectively, which explained phenotypic variations ranging from 9.31%~13.28%. Among them, AX-108789337 located on chromosome 4B was significantly associated with straw dry mass and root dry mass, which explained 10.44%~13.28% of phenotypic variations. Located on the 5B chromosome, AX-109353092 was significantly associated with plant height and root fresh mass, which explained phenotypic variations ranging from 9.31%~10.93%. Located on chromosome 6A, AX-110432128 was significantly associated with plant height and root fresh mass, which explained phenotypic variations ranging from 9.95%~9.99%. |
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