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Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments
Plant Breeding
  • Langlang Ma, Sichuan Agricultural University
  • Zhongrong Guan, Sichuan Agricultural University
  • Zhiteng Zhang, Sichuan Agricultural University
  • Xiaoxiang Zhang, Sichuan Agricultural University
  • Yanling Zhang, Sichuan Agricultural University
  • Chaoying Zou, Sichuan Agricultural University
  • Huanwei Peng, Sichuan Agricultural University
  • Guangtang Pan, Sichuan Agricultural University
  • Michael Lee, Iowa State University
  • Yaou Shen, Sichuan Agricultural University
  • Thomas Lubberstedt, Iowa State University
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
2-25-2018
DOI
10.1111/pbr.12566
Abstract

Leaf-related traits (leaf length, leaf width, leaf area and leaf angle) are very important for the yield of maize (Zea mays L) due to their influence on plant type. Therefore, it is necessary to identify quantitative trait loci (QTLs) for leaf-related traits. In this report, 221 doubled haploid lines (DHLs) of an IBM Syn10 DH population were provided for QTL mapping. In total, 54 QTLs were detected for leaf-related traits in single environments using a high-density genetic linkage map. Among them, only eight common QTLs were identified across two or three environments, and the common QTLs for the four traits explained 4.38%-19.99% of the phenotypic variation. qLL-2-1 (bin 2.09), qLW-2-2 (bin 2.09), qLW-6-3(bin 6.07) and qLA-5-2 (bin 2.09) were detected in previous studies, and qLL-1-1, qLAr-1-1, qLAr-2-1 and qLA-7-1 may be new QTLs. Notably, qLW-6-3 and qLA-5-2 were found to be major QTLs explaining 19.99% and 10.96% of the phenotypic variation, respectively. Interestingly, we found three pairs of QTLs (qLW-2-2 and qLAr-2-1, qLW-8-1 and qLL-8-2, qLL-3-3 and qLAr-3-3) that control different traits and that were located on the same chromosome or in a nearby location. Moreover, nine pairs of loci with epistatic effects were identified for the four traits. These results may provide the foundation for QTL fine-mapping and for an understanding of the genetic basis of variation in leaf-related traits.

Comments

This is the peer reviewed version of the following article: Ma L, Guan Z, Zhang Z, et al. Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments. Plant Breed. 2018, which has been published in final form at doi: 10.1111/pbr.12566. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

Copyright Owner
Blackwell Verlag GmbH
Language
en
File Format
application/pdf
Citation Information
Langlang Ma, Zhongrong Guan, Zhiteng Zhang, Xiaoxiang Zhang, et al.. "Identification of quantitative trait loci for leaf-related traits in an IBM Syn10 DH maize population across three environments" Plant Breeding (2018)
Available at: http://works.bepress.com/thomas-lubberstedt/67/