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Functional mapping of genotype-environment interactions for soybean growth by a semiparametric approach
Authors:Qin Li  Zhongwen Huang  Meng Xu  Chenguang Wang  Junyi Gai  Youjun Huang  Xiaoming Pang  Rongling Wu
Institution:(1) Department of Statistics, University of Florida, Gainesville, FL 32611, USA;(2) Department of Agronomy, Henan Institute of Science and Technology, Xinxiang, Henan, 453003, China;(3) National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China;(4) Key Laboratory of Forest Genetics and Tree Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, 210037, China;(5) School of Forestry and Biotechnology, Zhejiang Forestry University, Lin'an, Zhejiang, 311300, China;(6) Center for Computational Biology, Beijing Forestry University, Beijing, 100083, China;(7) National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Beijing Forestry University, Beijing, 100083, China
Abstract:

Background  

Functional mapping is a powerful approach for mapping quantitative trait loci (QTLs) that control biological processes. Functional mapping incorporates mathematical aspects of growth and development into a general QTL mapping framework and has been recently integrated with composite interval mapping to build up a so-called composite functional mapping model, aimed to separate multiple linked QTLs on the same chromosomal region.
Keywords:
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