Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments

G3: Genes, Genomes, Genetics

Volumn 2, Issue 11, 2012, Pages 1427-1436

  Windhausen, Vanessa S ^a   Atlin, Gary N ^b   Hickey, John M ^b   Crossa, Jose ^b   Jannink, Jean Luc ^c   Sorrells, Mark E ^c   Raman, Babu ^b   Cairns, Jill E ^b   Tarekegne, Amsal ^b   Semagn, Kassa ^b   Beyene, Yoseph ^b   Grudloyma, Pichet ^d   Technow, Frank ^a   Riedelsheimer, Christian ^a   Melchinger, Albrecht E ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^c Cornell University ^*  (United States)

^d Nakhon Sawan Field Crops Research Center   (Thailand)

Author keywords

GenPred; Grain yield; Maize; Resources; Shared data

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; BREEDING; CHIMERA; ENVIRONMENT; GENETIC VARIABILITY; GENETICS; MAIZE; PLANT GENOME; PROBABILITY; QUANTITATIVE TRAIT; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; BREEDING; CHIMERA; ENVIRONMENT; GENETIC VARIATION; GENETICS; GENOME, PLANT; MODELS, STATISTICAL; PROBABILITY; QUANTITATIVE TRAIT, HERITABLE; ZEA MAYS;

ZEA MAYS;

EID: 84883177912     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.112.003699     Document Type: Article

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