Optimization of multi-environment trials for genomic selection based on crop models

Theoretical and Applied Genetics

Volumn 130, Issue 8, 2017, Pages 1735-1752

  Rincent, R ^a,b   Kuhn, E ^c   Monod, H ^c   Oury, F X ^a,b   Rousset, M ^a,b   Allard, V ^a,b   Le Gouis, J ^a,b  

^a Diversity and Ecophysiology of Cereals   (France)

^b UNIVERSITÉ CLERMONT AUVERGNE   (France)

^c INRA Institut National de la Recherche Agronomique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; FORECASTING; GENES;

CROP GROWTH MODEL; GENETIC PARAMETERS; MULTI-ENVIRONMENTS; OPTIMAL EXPERIMENTAL CONDITIONS; PARAMETER ESTIMATE; PREDICTION ACCURACY; SELECTION MODEL; STATISTICAL CRITERION;

PARAMETER ESTIMATION;

BAYES THEOREM; BIOLOGICAL MODEL; CROP; ENVIRONMENT; GENETIC SELECTION; GENETICS; GENOTYPE; PHENOTYPE; PLANT BREEDING; PROCEDURES; STATISTICAL MODEL; WHEAT;

BAYES THEOREM; CROPS, AGRICULTURAL; ENVIRONMENT; GENOTYPE; MODELS, GENETIC; MODELS, STATISTICAL; PHENOTYPE; PLANT BREEDING; SELECTION, GENETIC; TRITICUM;

EID: 85019541505     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-017-2922-4     Document Type: Article

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