Testcross additive and dominance effects in best linear unbiased prediction of maize single-cross performance

Theoretical and Applied Genetics

Volumn 93, Issue 7, 1996, Pages 1098-1102

  Bernardo, R ^a  

^a Limagrain Genetics ^*  (United States)

Author keywords

Additive variance; Best linear unbiased prediction; Dominance; Maize

Indexed keywords

ZEA MAYS;

EID: 0030475371     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00230131     Document Type: Article

References (10)

1. Bernardo R (1994) Prediction of maize single-cross performance using RFLPs and information from related hybrids. Crop Sci 34:20-25
2. Bernardo R (1995) Genetic models for predicting maize single-cross performance in unbalanced yield trial data. Crop Sci 35:141-147
3. Bernardo R (1996) Best linear unbiased prediction of maize single-cross performance. Crop Sci 36:50-56
4. Chang HLA (1988) Studies on estimation of genetic variances under non-additive gene action. PhD thesis, University of Illinois, Urbana-Champaign (Diss Abstr 50-03B834)
5. Emik LO, Terrill CE (1949) Systematic procedures for calculating inbreeding coefficients. J Hered 40:51-55
6. Hallauer AR, Miranda JB Fo (1981) Quantitative genetics in maize breeding. Iowa State University Press, Ames
7. Henderson CR (1984) Applications of linear models in animal breeding. University of Guelph, Guelph, Ontario, Canada
8. Henderson CR (1985) Best linear unbiased prediction of nonadditive genetic merits in noninbred populations. J Anim Sci 60: 111-117
9. Robson DS, Powers L, Urquahart NS (1967) The proportion of genetic deviates in the tails of a normal population. Der Zucht 37:205-216
10. Stuber CW, Cockerham CC (1966) Gene effects and variances in hybrid populations. Genetics 54:1279-1286