NDLI: QTL analysis for yield components and kernel-related traits in maize across multi-environments

Content Provider	Springer Nature Link
Author	Peng, Bo Li, Yongxiang Wang, Yang Liu, Cheng Liu, Zhizhai Tan, Weiwei Zhang, Yan Wang, Di Shi, Yunsu Sun, Baocheng Song, Yanchun Wang, Tianyu Li, Yu
Copyright Year	2011
Abstract	Huangzaosi, Qi319, and Ye478 are foundation inbred lines widely used in maize breeding in China. To elucidate genetic base of yield components and kernel-related traits in these elite lines, two F2:3 populations derived from crosses Qi319 × Huangzaosi (Q/H, 230 families) and Ye478 × Huangzaosi (Y/H, 235 families), as well as their parents were evaluated in six environments including Henan, Beijing, and Xinjiang in 2007 and 2008. Correlation and hypergeometric probability function analyses showed the dependence of yield components on kernel-related traits. Three mapping procedures were used to identify quantitative trait loci (QTL) for each population: (1) analysis for each of the six environments, (2) joint analysis for each of the three locations across 2 years, and (3) joint analysis across all environments. For the eight traits measured, 90, 89, and 58 QTL for Q/H, and 72, 76, and 51 QTL for Y/H were detected by the three QTL mapping procedures, respectively. About 70% of the QTL from Q/H and 90% of the QTL from Y/H did not show significant QTL × environment interactions in the joint analysis across all environments. Most of the QTL for kernel traits exhibited high stability across 2 years at the same location, even across different locations. Seven major QTL detected under at least four environments were identified on chromosomes 1, 4, 6, 7, 9, and 10 in the populations. Moreover, QTL on chr. 1, chr. 4, and chr. 9 were detected in both populations. These chromosomal regions could be targets for marker-assisted selection, fine mapping, and map-based cloning in maize.
Starting Page	1305
Ending Page	1320
Page Count	16
File Format	PDF
ISSN	00405752
Journal	Theoretical and Applied Genetics
Volume Number	122
Issue Number	7
e-ISSN	14322242
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-01
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Agriculture Plant Biochemistry Biotechnology Plant Genetics & Genomics Plant Breeding/Biotechnology Biochemistry
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Biotechnology Agronomy and Crop Science

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