Multienvironment Models Increase Prediction Accuracy of Complex Traits in Advanced Breeding Lines of Rice-Reference-Cited by-同舟云学术

Multienvironment Models Increase Prediction Accuracy of Complex Traits in Advanced Breeding Lines of Rice

Published:2018-06-21 Issue:4 Volume:58 Page:1519-1530
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Monteverde Eliana¹,Rosas Juan E.²³,Blanco Pedro³,Pérez de Vida Fernando³,Bonnecarrère Victoria⁴,Quero Gastón⁵,Gutierrez Lucía⁶,McCouch Susan¹

Affiliation:

1. Plant Breeding and Genetics Section; School of Integrative Plant Science; Cornell Univ.; Ithaca NY 14853

2. Dep. of Statistics; College of Agriculture; Univ. de la República; Garzón 780 Montevideo Uruguay

3. National Rice Research Program; National Institute of Agricultural Research (INIA); INIA Treinta y Tres Villa Sara 33000 Uruguay

4. Biotechnology Unit; National Institute of Agricultural Research (INIA); Estación Experimental Wilson Ferreira Aldunate; Rincón del Colorado 90200 Uruguay

5. Dep. of Plant Biology; College of Agriculture; Univ. de la República; Garzón 809 Montevideo Uruguay

6. Dep. of Agronomy; Univ. of Wisconsin-Madison; 1575 Linden Dr. Madison WI 53706

Funder

Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria

US-UK Fulbright Commission

Agencia Nacional de Investigación e Innovación

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2017.09.0564/fullpdf

Reference57 articles.

1. Selection response in subdivided target regions;Atlin;Crop Sci.,2000

2. Genomic-enabled prediction in maize using kernel models with genotype × environment Interaction;Bandeira e Sousa;G3: Genes, Genomes, Genet.,2017

3. TASSEL: Software for association mapping of complex traits in diverse samples;Bradbury;Bioinformatics,2007

4. Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction;Burgueño;Crop Sci.,2008

5. Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers;Burgueño;Crop Sci.,2012

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