Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids-Reference-Cited by-同舟云学术

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Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids

Published:2017-04-11 Issue:7 Volume:130 Page:1431-1440
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Acosta-Pech Rocío,Crossa José,de los Campos Gustavo,Teyssèdre Simon,Claustres Bruno,Pérez-Elizalde Sergio,Pérez-Rodríguez Paulino

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

http://link.springer.com/article/10.1007/s00122-017-2898-0/fulltext.html

Reference37 articles.

1. Bernardo R (1994) Prediction of maize single-cross performance using RFLPs and information from related hybrids. Crop Sci 34:20–25

2. Bernardo R (1996a) Best linear unbiased prediction of maize single-cross performance. Crop Sci 36:50–56. doi: 10.2135/cropsci1996.00111183X003600010009x

3. Bernardo R (1996b) Best linear unbiased prediction of the performance of crosses in maize. Crop Sci 41:68–71. doi: 10.2135/cropsci2001.41168x

4. Bernardo R (1999) Marker-assisted best linear unbiased prediction of single-cross performance. Crop Sci 39:1277–1282

5. Bernardo R (2002) Breeding for quantitative traits in plants. Stemma Press, Woodbury

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