摘要
定位不同环境和遗传背景下稳定表达的数量性状基因位点是分子标记辅助选择的前提和基础。本研究应用NX531×M531和郑22×丹599分别构建2套F2:3群体(分别以N/M群体和Z/D群体代表),利用SSR标记,在不同环境下对11个产量及相关性状进行QTL检测。N/M群体共定位到QTL 144个,其中环境钝感QTL 42个;Z/D群体定位到QTL 62个,其中环境钝感QTL 4个。2个F2:3群体间共检测到5个遗传背景"一致性"QTLs和7个QTL富集区。这些在不同环境或不同遗传背景下检测到的QTLs,为进一步精细定位和基因克隆奠定了基础,也为分子标记辅助选择的应用提供了借鉴。
The expression of quantitative traits loci （QTL） are influenced by genetic back- ground （GB） and environment. In this research, two F2,3 populations which derived from 4 elite maize inbred lines （NX531）〈 M531 and Zheng22 ）〈 Dan598） were constructed and eleven maize yield and related traits were investigated using the two F2：3 populations in Handan and Baoding in 2012 and 2013 respectively. The QTLs for the traits were detected by two genetic linkage maps with SSR makers and totally 144 and 62 QTLs were detected for N/M and Z/D populations respectively. For N/M population, 42 QTLs were identified consistently in different environments while for Z/D population the consistent QTLs were 4. By comparing of the results, 5 coincident QTLs and 7 QTL clusters were detected among the two genetic back- grounds in the four environments. These QTLs identified in different genetic backgrounds and different environments could be useful for further study of QTL fine mapping and map based cloning, and they would also provide assistance for the marker-assisted selection （MAS） in breeding.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2016年第1期1-8,共8页
Journal of Hebei Agricultural University
基金
教育部博士点青年教师基金(20131302120001)
河北省现代农业技术体系玉米创新团队项目
关键词
玉米
产量性状
QTL
遗传背景
maize
yield components
QTL
genetic background
