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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
07/07/2017 |
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Data da última atualização: |
27/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PADILHA, A. H.; COSTA, C. N.; NETO, J. B.; DALTRO, D. dos S.; COBUCI, J. A. |
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Afiliação: |
Alessandro Haiduck Padilha, Universidade Federal do Rio Grande do Sul; CLAUDIO NAPOLIS COSTA, CNPGL; José Braccini Neto, Universidade Federal do Rio Grande do Sul; Darlene dos Santos Daltro, Universidade Federal do Rio Grande do Sul; Jaime Araújo Cobuci, Universidade Federal do Rio Grande do Sul. |
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Título: |
Selecting random regression models under different minimum number of test day records. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Livestock Science, v. 199, p. 69-73, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to compare EBVs, reliability and genetic parameters in random regression models with Legendre polynomials using structures of data sets with different minimum number of test days in lactation. The original data base was edited in order to prepare for subsets by deleting cows that did not have at least 4, 6, 8 or 10 test day (TD) records in lactation. The original intervals between monthly TD were used. Random regression models with third (M3), fourth (M4) and fifth-order (M5) Legendre polynomial were used. The lowest values of AIC, BIC, −2LogL and RV was found in the models with highest Legendre polynomials orders within structure with 6, 8 and 10 TD and lowest in structure with 4 TD. The eigenvalues indicated models with lowest Legendre polynomial orders as M3 and M4 in all structures. Heritability on days in milk ranged from 0.24 to 0.48 for M3 and from 0.17 to 0.31 for M4 and M5. Spearman correlations of EBVs of bulls and cows between M3, M4 and M5 were higher than 0.99 in all structures. Average reliability of EBVs of a group of bulls in common was around 0.82, 0.82, 0.80 and 0.63 in structures with at least 4, 6, 8 and 10 TD, respectively. Results indicate M3 and M4 as sufficient for genetic evaluations in all data sets of Holstein cattle. Random regression models will have similar reliability and ranks of EBVs in data sets with a minimum of 4, 6 or 8 TD. |
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Palavras-Chave: |
Genetic correlations; Legendre polynomial; Test day milk yield. |
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Thesaurus Nal: |
reliability. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02054naa a2200217 a 4500
001 2072290
005 2023-01-27
008 2017 bl uuuu u00u1 u #d
100 1 $aPADILHA, A. H.
245 $aSelecting random regression models under different minimum number of test day records.$h[electronic resource]
260 $c2017
520 $aThe objective of this study was to compare EBVs, reliability and genetic parameters in random regression models with Legendre polynomials using structures of data sets with different minimum number of test days in lactation. The original data base was edited in order to prepare for subsets by deleting cows that did not have at least 4, 6, 8 or 10 test day (TD) records in lactation. The original intervals between monthly TD were used. Random regression models with third (M3), fourth (M4) and fifth-order (M5) Legendre polynomial were used. The lowest values of AIC, BIC, −2LogL and RV was found in the models with highest Legendre polynomials orders within structure with 6, 8 and 10 TD and lowest in structure with 4 TD. The eigenvalues indicated models with lowest Legendre polynomial orders as M3 and M4 in all structures. Heritability on days in milk ranged from 0.24 to 0.48 for M3 and from 0.17 to 0.31 for M4 and M5. Spearman correlations of EBVs of bulls and cows between M3, M4 and M5 were higher than 0.99 in all structures. Average reliability of EBVs of a group of bulls in common was around 0.82, 0.82, 0.80 and 0.63 in structures with at least 4, 6, 8 and 10 TD, respectively. Results indicate M3 and M4 as sufficient for genetic evaluations in all data sets of Holstein cattle. Random regression models will have similar reliability and ranks of EBVs in data sets with a minimum of 4, 6 or 8 TD.
650 $areliability
653 $aGenetic correlations
653 $aLegendre polynomial
653 $aTest day milk yield
700 1 $aCOSTA, C. N.
700 1 $aNETO, J. B.
700 1 $aDALTRO, D. dos S.
700 1 $aCOBUCI, J. A.
773 $tLivestock Science$gv. 199, p. 69-73, 2017.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
11/12/2008 |
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Data da última atualização: |
03/04/2012 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
HILBECK, A.; ARPAIA, S.; BIRCH, A. N. E.; CHEN, Y.; FONTES, E. M. G.; LANG, A.; LÊ, T. T. H.; LÖVEI, G. L.; NANACHICHI, B.; NGUYEN, T. T. C.; NGUYEN, V. H.; NGUYEN, V. T.; PHAM, V. L.; PHAM, V. T.; PIRES, C. S. S.; SUJII, E. R.; TRÀC, K. L.; UNDERWOOD, E.; WHEATLEY, R. E.; WILSON, L. J.; ZWAHLEN, C.; ANDOW, D. A. |
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Afiliação: |
Angelika Hilbeck, Swiss Federal Institute of Technology ETHZ; Salvatore Arpaia Italian National Agency for New Technologies Energy and Environment Research Centre Trisais; A. Nicholas E. Birch SCRI Scotland; Yolanda H. Chen, International Rice Research Institute (IRRI); Eliana Maria Gouveia Fontes, Embrapa Recursos Genéticos e Biotecnologia; Andreas Lang, Unifersity of Basel; Lê Thi Thu Hong, Southern Fruit Research Institute (SOFRI); Gabor L. Lövei, University of Arhus; Barbara Manachini, University of Palermo; Nguyen Thi Thu Cúc, Can Tho University; Nguyen Van Huýnh, Can Tho University; Nguyen Van Tuat, Food Crops Research Institute (FCRI); Pham Van Lam, Plant Protection Research Institute (PPRI); Pham Van Toan, Vietnam Ministry of Agriculture and Rural Development (MARD); Carmen Silva Soares Lima, Embrapa Recursos Genéticos e Biotecnologia; Edison Ryoiti Sujii, Embrapa Recursos Genéticos e Biotecnologia; Tràc Khu'o'ng Lai, Southern Fruit Research Institute (SOFRI); Evelyn Underwood, Swiss Federal Institute of Science and Technology ETHZ; Ron E. Wheatley SCRI Scotland; Lewis J. Wilson, CSIRO Plant Industry and Programme Leader; Claudia Zwahlen, University of Neuchâtel; David A. Andow, University of Minnesota. |
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Título: |
Non-target and biological diversity risk assessment. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: ANDOW, D. A.; HILBECK, A.; TUAT, N. V. (Ed.) Environmental risk assessment of genetically modified organisms: challenges and opportunities with BT cotton in Vietnam. Wallingford, UK: CABI Publishing, 2008. v. 4 360 p. (Environmental risk assessment of genetically modified organisms series, v. 4). p. 115-137. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Diversidade biológica. |
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Thesagro: |
Algodão. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01256naa a2200385 a 4500
001 1190301
005 2012-04-03
008 2008 bl uuuu u00u1 u #d
100 1 $aHILBECK, A.
245 $aNon-target and biological diversity risk assessment.
260 $c2008
650 $aAlgodão
653 $aDiversidade biológica
700 1 $aARPAIA, S.
700 1 $aBIRCH, A. N. E.
700 1 $aCHEN, Y.
700 1 $aFONTES, E. M. G.
700 1 $aLANG, A.
700 1 $aLÊ, T. T. H.
700 1 $aLÖVEI, G. L.
700 1 $aNANACHICHI, B.
700 1 $aNGUYEN, T. T. C.
700 1 $aNGUYEN, V. H.
700 1 $aNGUYEN, V. T.
700 1 $aPHAM, V. L.
700 1 $aPHAM, V. T.
700 1 $aPIRES, C. S. S.
700 1 $aSUJII, E. R.
700 1 $aTRÀC, K. L.
700 1 $aUNDERWOOD, E.
700 1 $aWHEATLEY, R. E.
700 1 $aWILSON, L. J.
700 1 $aZWAHLEN, C.
700 1 $aANDOW, D. A.
773 $tIn: ANDOW, D. A.; HILBECK, A.; TUAT, N. V. (Ed.) Environmental risk assessment of genetically modified organisms: challenges and opportunities with BT cotton in Vietnam. Wallingford, UK: CABI Publishing, 2008.$gv. 4 360 p. (Environmental risk assessment of genetically modified organisms series, v. 4). p. 115-137.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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