Support vector machine regression for the prediction of maize hybrid performance

Theoretical and Applied Genetics

Volumn 115, Issue 7, 2007, Pages 1003-1013

  Maenhout, S ^a   De Baets, B ^b   Haesaert, G ^a   Van Bockstaele, E ^b,c  

^a UNIVERSITY COLLEGE GHENT   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c INSTITUTE FOR AGRICULTURAL AND FISHERIES RESEARCH ILVO   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; GRAIN (AGRICULTURAL PRODUCT); MATHEMATICAL MODELS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

BREEDING POOL; MAIZE HYBRID PERFORMANCE; SINGLE CROSS HYBRIDS; SUPPORT VECTOR MACHINE REGRESSION;

GENETIC ENGINEERING;

ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; CROSS BREEDING; FORECASTING; GENETIC MARKER; GENETICS; HYBRIDIZATION; MAIZE; PHENOTYPE; PREDICTION AND FORECASTING; REGRESSION ANALYSIS; STATISTICAL MODEL; VALIDATION STUDY;

CROSSES, GENETIC; FORECASTING; GENETIC MARKERS; HYBRIDIZATION, GENETIC; LINEAR MODELS; MODELS, GENETIC; PHENOTYPE; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; ZEA MAYS;

ZEA MAYS;

EID: 35248862454     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-007-0627-9     Document Type: Article

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