Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat

Theoretical and Applied Genetics

Volumn 130, Issue 7, 2017, Pages 1415-1430

  Juliana, Philomin ^a   Singh, Ravi P ^b   Singh, Pawan K ^b   Crossa, Jose ^b   Huerta Espino, Julio ^c   Lan, Caixia ^b   Bhavani, Sridhar ^d   Rutkoski, Jessica E ^a,b   Poland, Jesse A ^e   Bergstrom, Gary C ^a   Sorrells, Mark E ^a  

^a Department of Obstetrics Gynecology   (United States)

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

^c INSTITUTO NACIONAL DE INVESTIGACIONES FORESTALES   (Mexico)

^d WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

^e KANSAS STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; PLANTS (BOTANY);

ADULT PLANT RESISTANCES; BEST LINEAR UNBIASED PREDICTIONS; GENOMIC PREDICTIONS; LEAST-SQUARES APPROACH; PREDICTION ACCURACY; REPRODUCING KERNEL HILBERT SPACES; RUST RESISTANCE GENES; WHEAT (TRITICUM AESTIVUM L.);

GENES;

GENETIC MARKER;

BASIDIOMYCETES; BIOLOGICAL MODEL; DISEASE RESISTANCE; GENETIC MARKER; GENETICS; GENOMICS; GENOTYPE; MICROBIOLOGY; PHENOTYPE; PLANT DISEASE; PROCEDURES; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL; WHEAT;

BASIDIOMYCOTA; DISEASE RESISTANCE; GENETIC MARKERS; GENOMICS; GENOTYPE; LINEAR MODELS; MODELS, GENETIC; PHENOTYPE; PLANT DISEASES; QUANTITATIVE TRAIT LOCI; TRITICUM;

EID: 85017109247     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-017-2897-1     Document Type: Article

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