Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions-Reference-Cited by-同舟云学术

Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions

Published:2013-11-22 Issue:2 Volume:127 Page:463-480
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Heslot Nicolas,Akdemir Deniz,Sorrells Mark E.,Jannink Jean-Luc

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s00122-013-2231-5.pdf

Reference80 articles.

1. Akdemir D, Heslot N (2012) Soft rule ensembles for statistical learning. Arxiv Prepr Arxiv 1205:4476

2. Boer MP, Wright D, Feng L et al (2007) A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize. Genetics. doi: 10.1534/genetics.107.071068

3. Brancourt-Hulmel M, Lecomte C, Meynard JM (1999) A diagnosis of yield-limiting factors on probe genotypes for characterizing environments in winter wheat trials. Crop Sci. doi: 10.2135/cropsci1999.3961798x

4. Brancourt-Hulmel M, Denis JB, Lecomte C (2000) Determining environmental covariates which explain genotype environment interaction in winter wheat through probe genotypes and biadditive factorial regression. Theor Appl Genet. doi: 10.1007/s001220050038

5. Breiman L (2001) Random forests. Mach Learn. doi: 10.1023/A:1010933404324

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