Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials-Reference-Cited by-同舟云学术

Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials

Published:2021-09-12 Issue:3 Volume:14 Page:
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:Plant Genome

Author:

Crespo‐Herrera Leonardo¹,Howard Reka²,Piepho Hans‐Peter³,Pérez‐Rodríguez Paulino⁴^ORCID,Montesinos‐Lopez Osval⁵,Burgueño Juan¹,Singh Ravi¹,Mondal Suchismita¹,Jarquín Diego²,Crossa Jose¹⁴^ORCID

Affiliation:

1. International Maize and Wheat Improvement Center (CIMMYT) Km. 45, Carretera México‐Veracruz, El Batán, Texcoco, Edo. de México, CP El Batan 56130 Mexico

2. Univ. of Nebraska–Lincoln Lincoln NE 68583 USA

3. Biostatistics Unit Univ. of Hohenheim Fruwirthstrasse 23 Stuttgart 70599 Germany

4. Colegio de Postgraduados Montecillos, Edo. de Mexico Mexico

5. Univ. de Colima Colima Mexico

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tpg2.20151

Reference32 articles.

1. Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers

2. Target population of environments for wheat breeding in India: definition, prediction, and genetic gains. frontier in plant science;Crespo‐Herrera L. A.;Frontiers in Plant Science,2021

3. Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers

4. Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

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