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甜玉米小斑病抗性主效QTL挖掘
蒋锋1,陈趣2,陈青春1,张姿丽1,孙伟1,王晓明1,刘鹏飞1*
1.仲恺农业工程学院 农业与生物学院, 广州 510225;2.湛江市霞山区农业技术推广中心, 广东 湛江 524000
摘要:
为对玉米小斑病抗性进行QTL定位,以甜玉米杂交组合‘T8’בT33’ 的200个F2代单株为遗传作图群体,构建遗传连锁图谱,通过对各单株叶片进行图像扫描进行抗病鉴定,定位QTL。结果表明,构建了全长1 270.2 cM 的玉米分子标记遗传连锁图谱,含214个SSR位点,标记间平均间距5.9 cM。以全株、穗三叶和穗位叶的病斑面积比作为各单株小斑病抗性表型值,应用复合区间作图法共检测到11个小斑病抗性QTL,分布于第3、4、5、6和9染色体上,单个QTL可解释5.08%~19.67%的表型变异。在第3染色体umc1746~bnlg1523和第5染色体bnlg603~mmc0081均同时检测到3个抗性指标的主效QTL,各主效QTL的贡献率均>10.00%。在第3染色体umc1399~umc1307同时检测到穗三叶和穗位叶病斑面积比相关QTL,贡献率分别为5.08%和9.49%。
关键词:  甜玉米  小斑病  病斑图像识别  QTL
DOI:10.11841/j.issn.1007-4333.2021.10.03
分类号:
基金项目:广东省鲜食玉米遗传育种工程技术研究中心项目(粤科产学研[2016]176号);广东省农业厅种业提升项目(粤财农[2014]492号);广东省重点领域研发计划(2018B020202013);广州国家现代农业产业科技创新中心创建项目(2018KCZX02)
Major QTL mapping for southern leaf blight resistance in sweet corn
JIANG Feng1,CHEN Qu2,CHEN Qingchun1,ZHANG Zili1,SUN Wei1,WANG Xiaoming1,LIU Pengfei1*
1.College of Agronomy and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China;2.Zhanjiang Xiashan District Agricultural Technology Extension Center, Zhanjiang 524000, China
Abstract:
For QTL mapping of southern leaf blight resistance in maize, 200 F2 individuals of sweet corn combination ‘T8'בT33' were used as genetic mapping population to construct genetic linkage map. Image scanning was performed on the leaves of individual plants for resistance identification and for further QTL mapping. The results showed that: A linkage genetic map with a total length of 1 270. 2 cM was constructed by 214 SSR marker loci, and the average distance between individual markers was 5. 9 cM. A total of 11 QTL of southern leaf blight resistance were detected on chromosomes 3, 4, 5, 6 and 9 using composite interval mapping and lesion image recognition technology. A single QTL accounted for 5. 08%-19. 67% of phenotypic variation. The major QTL of three resistance indexes were detected simultaneously in the marker interval of umc1746-bnlg1523 on chromosome 3 and bnlg603-mmc0081 on chromosome 5, and the contribution rate of each major QTL was more than 10. 00%. In addition, QTL for leaf blight coefficient of three leaves nearest from ear and ear leaf were detected simultaneously in umc1399-umc1307 interval on chromosome 3, and the contribution rates were 5. 08% and 9. 49%, respectively.
Key words:  sweet corn  southern leaf blight  lesion image recognition  QTL
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