Best linear unbiased prediction and optimum allocation of test resources in maize breeding with doubled haploids

Theoretical and Applied Genetics

Volumn 123, Issue 1, 2011, Pages 1-10

  Mi, Xuefei ^a   Wegenast, Thilo ^a   Utz, H Friedrich ^a   Dhillon, Baldev S ^a   Melchinger, Albrecht E ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL SOLUTIONS; APPLIED THEORY; BEST LINEAR UNBIASED PREDICTIONS; DOUBLED HAPLOID; GRAIN YIELD; MAIZE BREEDING; MATRIX INVERSIONS; MIXED MODELS; MONTE CARLO SIMULATION; OPTIMIZATION CRITERIA; OPTIMUM ALLOCATION; OPTIMUM NUMBER; SELECTION BASED; TEST CANDIDATES; TEST LOCATION; TWO STAGE; VARIANCE COMPONENTS;

COMPUTER SIMULATION; MONTE CARLO METHODS; OPTIMIZATION;

TESTING;

ARTICLE; BIOLOGICAL MODEL; BREEDING; CROSS BREEDING; GENETIC SELECTION; GENETICS; GENOTYPE; HAPLOIDY; MAIZE; MONTE CARLO METHOD; PHENOTYPE; STATISTICAL MODEL;

BREEDING; CROSSES, GENETIC; GENOTYPE; HAPLOIDY; LINEAR MODELS; MODELS, GENETIC; MONTE CARLO METHOD; PHENOTYPE; SELECTION, GENETIC; ZEA MAYS;

ZEA MAYS;

EID: 79952271763     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-011-1561-4     Document Type: Article

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