Use of Crop Growth Models with Whole-Genome Prediction: Application to a Maize Multienvironment Trial-Reference-Cited by-同舟云学术

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Use of Crop Growth Models with Whole-Genome Prediction: Application to a Maize Multienvironment Trial

Published:2016-09 Issue:5 Volume:56 Page:2141-2156
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Cooper Mark¹,Technow Frank²,Messina Carlos¹,Gho Carla³,Totir L. Radu⁴

Affiliation:

1. DuPont Pioneer; 7250 NW 62nd Avenue Johnston IA 50131

2. DuPont Pioneer; 596779 County Road 59N Woodstock Ontario N4S 7W1 Canada

3. DuPont Pioneer; Semillas Pioneer Chile Ltda; Santa Filomena 1609-Buin, PO Box 267 Chile

4. DuPont Pioneer; 8305 NW 62nd Avenue Johnston IA 50131

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2015.08.0512/fullpdf

Reference38 articles.

1. Molecular markers and selection for complex traits in plants: Learning from the last 20 years;Bernardo;Crop Sci.,2008

2. 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;Boer;Genetics,2007

3. Seed dry weight response to source-sink manipulations in wheat, maize and soybean: A quantitative reappraisal;Borras;Field Crops Res.,2004

4. Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments;Chapman;Aust. J. Agric. Res.,2002

5. Evaluating plant breeding strategies by simulating gene action and dryland environment effects;Chapman;Agron. J.,2003

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