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Volumn 81, Issue 4, 2003, Pages 927-932

Genetic evaluation of growth in Nellore cattle by multiple-trait and random regression models

Author keywords

Beef Cattle; Genetic Analysis; Regression Analysis

Indexed keywords

BOS TAURUS;

EID: 0042128357     PISSN: 00218812     EISSN: None     Source Type: Journal    
DOI: 10.2527/2003.814927x     Document Type: Article
Times cited : (23)

References (13)
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    • Albuquerque, L.G.1    Meyer, K.2
  • 3
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    • Comparison of two computing algorithms for solving mixed model equations for multiple trait random regression test day models
    • Jamrozik, J., and L. R. Schaeffer. 2000. Comparison of two computing algorithms for solving mixed model equations for multiple trait random regression test day models. Livest. Prod. Sci. 67:143-153.
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    • Jamrozik, J.1    Schaeffer, L.R.2
  • 4
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    • Solving large test-day models by iteration on data and preconditioned conjugate gradient
    • Lidauer, M., I. Stradén, E. A. Mäntysaari, J. Pösö, and A. Kettunen. 1999. Solving large test-day models by iteration on data and preconditioned conjugate gradient. J. Dairy Sci. 82:2788-2796.
    • (1999) J. Dairy Sci. , vol.82 , pp. 2788-2796
    • Lidauer, M.1    Stradén, I.2    Mäntysaari, E.A.3    Pösö, J.4    Kettunen, A.5
  • 5
    • 0034030677 scopus 로고    scopus 로고
    • Random regression to model phenotypic variation in monthly weights of Australian beef cows
    • Meyer, K. 2000. Random regression to model phenotypic variation in monthly weights of Australian beef cows. Livest. Prod. Sci. 65:19-38.
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    • Meyer, K.1
  • 6
    • 2342579230 scopus 로고    scopus 로고
    • Accuracy of genetic evaluation of beef cattle for growth fitting a random regression model in genetic evaluation
    • Meyer, K. 2002. Accuracy of genetic evaluation of beef cattle for growth fitting a random regression model in genetic evaluation. J. Anim. Sci. 80(Suppl. 1):49.
    • (2002) J. Anim. Sci. , vol.80 , Issue.1 SUPPL. , pp. 49
    • Meyer, K.1
  • 7
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    • Complex models, more data: Simpler programming?
    • Proc. Inter. Workshop Comput. Cattle Breed, Tuusala, Finland
    • Misztal, I. 1999. Complex models, more data: Simpler programming? Proc. Inter. Workshop Comput. Cattle Breed, Tuusala, Finland. Interbull Bul. 20:33-42.
    • (1999) Interbull Bul. , vol.20 , pp. 33-42
    • Misztal, I.1
  • 8
    • 2342451039 scopus 로고    scopus 로고
    • A Fortran 90 interface to sparse matrix package FSPAK with dynamic memory allocation and sparse matrix structure
    • Armidale, Australia
    • Misztal, I., and M. Perez-Enciso. 1998. A Fortran 90 interface to sparse matrix package FSPAK with dynamic memory allocation and sparse matrix structure. Proc. 6th World Cong. Genet. Appl. Livest. Prod., Armidale, Australia 22:77-78.
    • (1998) Proc. 6th World Cong. Genet. Appl. Livest. Prod. , vol.22 , pp. 77-78
    • Misztal, I.1    Perez-Enciso, M.2
  • 11
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    • Reduction of the number of parameters needed for a polynomial random regression test day model
    • Pool, M. H., and T. H. E. Meuwissen. 2000. Reduction of the number of parameters needed for a polynomial random regression test day model. Livest. Prod. Sci. 64:133-145.
    • (2000) Livest. Prod. Sci. , vol.64 , pp. 133-145
    • Pool, M.H.1    Meuwissen, T.H.E.2
  • 12
    • 0035347226 scopus 로고    scopus 로고
    • Use of preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications
    • Tsuruta, S., I. Misztal, and I. Strandén. 2001. Use of preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications. J. Anim. Sci. 79:116-1172.
    • (2001) J. Anim. Sci. , vol.79 , pp. 116-1172
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  • 13
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    • Multiple trait genetic analysis of underlying biological variables of production functions
    • Varona, L., C. Moreno, L. A. Garcia Cortes, and J. Altarriba. 1997. Multiple trait genetic analysis of underlying biological variables of production functions. Livest. Prod. Sci. 47:201-209.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.