Journal article
Genetic control of the leaf angle and leaf orientation value as revealed by ultra-high density maps in three connected maize populations
PloS one, Vol.10(3), pp.e0121624-e0121624
2015
Handle:
https://hdl.handle.net/2376/101039
PMCID: PMC4373667
PMID: 25807369
Abstract
Plant architecture is a key factor for high productivity maize because ideal plant architecture with an erect leaf angle and optimum leaf orientation value allow for more efficient light capture during photosynthesis and better wind circulation under dense planting conditions. To extend our understanding of the genetic mechanisms involved in leaf-related traits, three connected recombination inbred line (RIL) populations including 538 RILs were genotyped by genotyping-by-sequencing (GBS) method and phenotyped for the leaf angle and related traits in six environments. We conducted single population quantitative trait locus (QTL) mapping and joint linkage analysis based on high-density recombination bin maps constructed from GBS genotype data. A total of 45 QTLs with phenotypic effects ranging from 1.2% to 29.2% were detected for four leaf architecture traits by using joint linkage mapping across the three populations. All the QTLs identified for each trait could explain approximately 60% of the phenotypic variance. Four QTLs were located on small genomic regions where candidate genes were found. Genomic predictions from a genomic best linear unbiased prediction (GBLUP) model explained 45±9% to 68±8% of the variation in the remaining RILs for the four traits. These results extend our understanding of the genetics of leaf traits and can be used in genomic prediction to accelerate plant architecture improvement.
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Details
- Title
- Genetic control of the leaf angle and leaf orientation value as revealed by ultra-high density maps in three connected maize populations
- Creators
- Chunhui Li - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaYongxiang Li - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaYunsu Shi - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaYanchun Song - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaDengfeng Zhang - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaEdward S Buckler - Institute for Genomic Diversity, Cornell University, Ithaca, New York, United States of AmericaZhiwu Zhang - Institute for Genomic Diversity, Cornell University, Ithaca, New York, United States of AmericaTianyu Wang - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, ChinaYu Li - Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- Publication Details
- PloS one, Vol.10(3), pp.e0121624-e0121624
- Academic Unit
- Crop and Soil Sciences, Department of
- Publisher
- United States
- Identifiers
- 99900546531901842
- Language
- English
- Resource Type
- Journal article