NDLI: Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments

Content Provider	Springer Nature Link
Author	Liu, Ying Wang, Liwei Sun, Chuanlong Zhang, Zuxin Zheng, Yonglian Qiu, Fazhan
Copyright Year	2014
Abstract	Twelve major QTL in five optimal clusters and several epistatic QTL are identified for maize kernel size and weight, some with pleiotropic will be promising for fine-mapping and yield improvement. Kernel size and weight are important target traits in maize (Zea mays L.) breeding programs. Here, we report a set of quantitative trait loci (QTL) scattered through the genome and significantly controlled the performance of four kernel traits including length, width, thickness and weight. From the cross V671 (large kernel) × Mc (small kernel), 270 derived F2:3 families were used to identify QTL of maize kernel-size traits and kernel weight in five environments, using composite interval mapping (CIM) for single-environment analysis along with mixed linear model-based CIM for joint analysis. These two mapping strategies identified 55 and 28 QTL, respectively. Among them, 6 of 23 coincident were detected as interacting with environment. Single-environment analysis showed that 8 genetic regions on chromosomes 1, 2, 4, 5 and 9 clustered more than 60 % of the identified QTL. Twelve stable major QTLs accounting for over 10 % of phenotypic variation were included in five optimal clusters on the genetic region of bins 1.02–1.03, 1.04–1.06, 2.05–2.07, 4.07–4.08 and 9.03–9.04; the addition and partial dominance effects of significant QTL play an important role in controlling the development of maize kernel. These putative QTL may have great promising for further fine-mapping with more markers, and genetic improvement of maize kernel size and weight through marker-assisted breeding.
Starting Page	1019
Ending Page	1037
Page Count	19
File Format	PDF
ISSN	00405752
Journal	Theoretical and Applied Genetics
Volume Number	127
Issue Number	5
e-ISSN	14322242
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-02-20
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Plant Breeding/Biotechnology Plant Genetics & Genomics Agriculture Plant Biochemistry Biochemistry Biotechnology
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Biotechnology Agronomy and Crop Science

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