Integrating crop growth models with whole genome prediction through approximate Bayesian computation

PLoS ONE

Volumn 10, Issue 6, 2015, Pages

  Technow, Frank ^a   Messina, Carlos D ^b   Totir, L Radu ^a   Cooper, Mark ^b  

^a Breeding Technologies DuPont Pioneer   (United States)

^b DuPont Pioneer   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; APPROXIMATE BAYESIAN COMPUTATION; AREA OF LARGEST LEAF; ARTICLE; BIOLOGICAL TRAIT; CONTROLLED STUDY; CROP GROWTH MODEL; GENETIC CORRELATION; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; GRAIN YIELD; PREDICTION; SOLAR RADIATION USE EFFICIENCY; THERMAL UNITS TO PHYSIOLOGICAL MATURITY; TOTAL LEAF NUMBER; WHOLE GENOME PREDICTION; ANATOMY AND HISTOLOGY; BAYES THEOREM; BIOMASS; COMPUTER SIMULATION; CROP; GENETICS; GROWTH, DEVELOPMENT AND AGING; HAPLOIDY; ILLINOIS; PLANT GENOME; PLANT LEAF; PLANT SEED; SUNLIGHT; TEMPERATURE; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; BIOMASS; COMPUTER SIMULATION; CROPS, AGRICULTURAL; GENOME, PLANT; HAPLOIDY; ILLINOIS; MODELS, THEORETICAL; PLANT LEAVES; SEEDS; SUNLIGHT; TEMPERATURE;

EID: 84938717555     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0130855     Document Type: Article

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