文献类型： 外文期刊

作者： Cheng, Yan ¹ ; Wang, Qian ¹ ; Ban, Qingyu ¹ ; Geng, Jianfeng ² ; Zhang, Xiao Wei ² ; Yi, Ying ¹ ; Hou, Xilin ¹ ;

作者机构： 1.Nanjing Agr Univ, Hort Coll, State Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Jiangsu, Peoples R China

2.Henan Acad Agr Sci, Inst Hort, Zhengzhou 450002, Peoples R China

3.Minist Agr, Key Lab So Vegetable Crop Genet Improvement, Nanjing 210095, Peoples R China

关键词： plant height;plant development;phenotypic variation

期刊名称：HORTSCIENCE （ 影响因子：1.455； 五年影响因子：1.617 ）

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收录情况： SCI

摘要： Quantitative trait loci (QTLs) identified so far in Brassica were mainly generated in the final stage of plant development, which did not apply to the exploitation of genetic effects that were expressed during a specific developmental stage. Thus, the objective of this stud), was to simultaneously identify unconditional and conditional QTL associated with plant height at various stages of nonheading Chinese cabbage. One hundred twelve doubled haploid (DH) lines developed from the cross between nonheading Chinese cabbage lines 'SW-13' and 'SU-124' were used for QTL analysis of plant height by the composite interval mapping method combined with mixed genetic model. The map we used for QTL analysis was an updated version of the first genetic map of nonheading Chinese cabbage with 48 additional markers to the same DH population. With data from 2 years, a total of I I unconditional QTLs in six linkage groups and 23 conditional QTLs in eight linkage groups were identified for plant height. The results indicated that the number and type of QTLs and their genetic effects for plant height were different in a series of measuring stages. Each QTL can explain 7.92% to 28.25% of the total phenotypic variation. Two QTLs (ph8-4 and ph8-5) were identified to be associated with plant height using both unconditional and conditional mapping methods simultaneously in 2 years. These results demonstrated that it is highly effective for mapping QTL of developmental traits using the unconditional and conditional analysis methodology.