Genomic prediction for grain yield in a barley breeding program using genotype × environment interaction clusters
Author:
Affiliation:
1. Agriculture Victoria, AgriBio Centre for AgriBioscience Bundoora VIC 3083 Australia
2. InterGrain 19 Ambitious Link Bibra Lake WA 6163 Australia
3. School of Applied Systems Biology La Trobe University Bundoora VIC 3083 Australia
Publisher
Wiley
Subject
Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20460
Reference46 articles.
1. CIMMYT's approach to breeding for wide adaptation;Braun H. J.;Euphytica,1996
2. Genomic prediction of breeding values when modeling genotype x environment interaction using pedigree and dense molecular markers;Burgueño J.;Crop Science,2012
3. Environment characterization as an aid to wheat improvement: interpreting genotype‐environment interactions by modelling water‐deficit patterns in North‐Eastern Australia;Chenu K.;Journal of Experimental Botany,2011
4. Large‐scale characterization of drought pattern: A continent‐wide modelling approach applied to the Australian wheatbelt spatial and temporal trends;Chenu K.;New Phytologist,2013
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