Accelerating wheat breeding for end-use quality with multi-trait genomic predictions incorporating near infrared and nuclear magnetic resonance-derived phenotypes

Theoretical and Applied Genetics

Volumn 130, Issue 12, 2017, Pages 2505-2519

  Hayes, B J ^a,b   Panozzo, J ^c   Walker, C K ^c   Choy, A L ^c   Kant, S ^c   Wong, D ^a   Tibbits, J ^a   Daetwyler, H D ^a,b   Rochfort, S ^a,b   Hayden, M J ^a,b   Spangenberg, G C ^a,b  

^a LA TROBE UNIVERSITY   (Australia)

^b LA TROBE UNIVERSITY   (Australia)

^c Transport and Resources ^*  (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ASSAYS; FORECASTING; GENES; GRAIN (AGRICULTURAL PRODUCT); INFRARED DEVICES;

END-USE QUALITIES; GENOMIC PREDICTIONS; INDUSTRY STANDARDS; KEY MESSAGE; NEAR INFRA RED; NUCLEAR MAGNETIC RESONANCE(NMR); WHEAT BREEDING;

NUCLEAR MAGNETIC RESONANCE;

BIOLOGICAL MODEL; GENETIC SELECTION; GENETICS; GENOMICS; GENOTYPE; NEAR INFRARED SPECTROSCOPY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PHENOTYPE; PLANT BREEDING; PROCEDURES; WHEAT;

GENOMICS; GENOTYPE; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, GENETIC; PHENOTYPE; PLANT BREEDING; SELECTION, GENETIC; SPECTROSCOPY, NEAR-INFRARED; TRITICUM;

EID: 85028320574     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-017-2972-7     Document Type: Article

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