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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
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Fecha : |
24/09/2014 |
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Actualizado : |
25/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
LEMA, O.M.; GIMENO, D.; DIONELLO, N.J.L .; NAVAJAS, E.A. |
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Afiliación : |
OSCAR MARIO LEMA QUEIJO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; ELLY ANA NAVAJAS VALENTINI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Pre-weaning performance of Hereford, Angus, Salers and Nellore crossbred calves: individual and maternal additive and non-additive effects. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
Livestock Science , v. 142. n. 1-3, p. 288-297, 2011. |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2011.08.007 |
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Idioma : |
Inglés |
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Notas : |
Article history: received 14 January 2011; received in revised form 8 August 2011; accepted 9 August 2011. |
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Contenido : |
Abstract:
Individual and maternal additive and non-additive effects for gestation length (GL), birth (BW) and weaning weights (WW) were estimated in Hereford (H/H), Aberdeen Angus (A/A), Salers (S/S) and Nellore (N/N) breeds. Data were recorded on 4474 calves of 39 genotypes (pureand cross-bred) which were sired by 141 bulls and born in two connected crossbreeding experiments carried out between 1993 and 2004. Five crossbreeding parameter models were compared. The best fit, assessed by the Akaike Information Criterion, was obtained by the additive model for GL and by the Dickerson full model for BW and WW. The individual additive
effect of N/N increased GL by 12.0 days compared to H/H, whilst the maternal additive effect reduced it by 3.1 days. The individual additive effects of A/A and N/N for BW were +1.8 kg and ?2.3 kg, respectively. Maternal effects had opposite sign to the individual effects (A/A, +3.6 kg; N/N, ?8.3 kg). Additive effects of S/S were not significant (PN0.10). Maternal heterosis increased BW in all crosses with H/H (from +1.8 to +5.1 kg) but the individual heterosis was only significant in the crosses with N/N (2.3 kg). In the case of WW, maternal additive effects as well as individual and maternal heterosis improved WW by 18.5, 5.3 and 11.9 kg, respectively.
Additive effects of N/N decreased WW (individual, ?12.1 kg; maternal, ?34.6 kg) whilst the individual and maternal heterosis had a favourable effect (+20.2 kg; +63.1 kg). In both N/N and S/S breeds, maternal recombination losses increased WW (30.7 and 48.2 kg) and individual recombination losses have the opposite effect (from ?12.1 to ?27.0 kg). In general terms, additive and non-additive effect of European breeds did not increase GL or have any effect on BW. However, increasing proportions of Nellore were associated with longer GL compared to H/ H. The use of Nellore as paternal breed may be related to heavier BW which may increase the incidence of dystocia. Positive effects of crossbreeding on WW were mainly due to the use of crossbred dams given the significant magnitude of maternal heterosis. The best combination of individual additive effects came from the utilisation of European breeds, whilst the greater magnitudes of both heterosis and recombination losses were observed in the Nellore crosses. MenosAbstract:
Individual and maternal additive and non-additive effects for gestation length (GL), birth (BW) and weaning weights (WW) were estimated in Hereford (H/H), Aberdeen Angus (A/A), Salers (S/S) and Nellore (N/N) breeds. Data were recorded on 4474 calves of 39 genotypes (pureand cross-bred) which were sired by 141 bulls and born in two connected crossbreeding experiments carried out between 1993 and 2004. Five crossbreeding parameter models were compared. The best fit, assessed by the Akaike Information Criterion, was obtained by the additive model for GL and by the Dickerson full model for BW and WW. The individual additive
effect of N/N increased GL by 12.0 days compared to H/H, whilst the maternal additive effect reduced it by 3.1 days. The individual additive effects of A/A and N/N for BW were +1.8 kg and ?2.3 kg, respectively. Maternal effects had opposite sign to the individual effects (A/A, +3.6 kg; N/N, ?8.3 kg). Additive effects of S/S were not significant (PN0.10). Maternal heterosis increased BW in all crosses with H/H (from +1.8 to +5.1 kg) but the individual heterosis was only significant in the crosses with N/N (2.3 kg). In the case of WW, maternal additive effects as well as individual and maternal heterosis improved WW by 18.5, 5.3 and 11.9 kg, respectively.
Additive effects of N/N decreased WW (individual, ?12.1 kg; maternal, ?34.6 kg) whilst the individual and maternal heterosis had a favourable effect (+20.2 kg; +63.1 kg). In both N/N and S/S breeds, ... Presentar Todo |
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Palabras claves : |
ADDITIVE EFFECTS; BEEF CATTLE; CARACTERÍSTICAS DE PREDESTETE; CROSSBREEDING GENETIC PARAMETERS; CRUZAMIENTO GENÉTICO ANIMAL; EFECTOS ADITIVOS; EFECTOS NO ADITIVOS; NON-ADDITIVE EFFECTS; PRE-WEANING TRAITS. |
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Thesagro : |
GANADO DE CARNE. |
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Asunto categoría : |
L10 Genética y mejoramiento animal
L51 Fisiología Animal - Nutrición |
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Marc : |
LEADER 03418naa a2200313 a 4500
001 1050510
005 2018-09-25
008 2011 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $a10.1016/j.livsci.2011.08.007$2DOI
100 1 $aLEMA, O.M.
245 $aPre-weaning performance of Hereford, Angus, Salers and Nellore crossbred calves$bindividual and maternal additive and non-additive effects.$h[electronic resource]
260 $c2011
500 $aArticle history: received 14 January 2011; received in revised form 8 August 2011; accepted 9 August 2011.
520 $aAbstract: Individual and maternal additive and non-additive effects for gestation length (GL), birth (BW) and weaning weights (WW) were estimated in Hereford (H/H), Aberdeen Angus (A/A), Salers (S/S) and Nellore (N/N) breeds. Data were recorded on 4474 calves of 39 genotypes (pureand cross-bred) which were sired by 141 bulls and born in two connected crossbreeding experiments carried out between 1993 and 2004. Five crossbreeding parameter models were compared. The best fit, assessed by the Akaike Information Criterion, was obtained by the additive model for GL and by the Dickerson full model for BW and WW. The individual additive effect of N/N increased GL by 12.0 days compared to H/H, whilst the maternal additive effect reduced it by 3.1 days. The individual additive effects of A/A and N/N for BW were +1.8 kg and ?2.3 kg, respectively. Maternal effects had opposite sign to the individual effects (A/A, +3.6 kg; N/N, ?8.3 kg). Additive effects of S/S were not significant (PN0.10). Maternal heterosis increased BW in all crosses with H/H (from +1.8 to +5.1 kg) but the individual heterosis was only significant in the crosses with N/N (2.3 kg). In the case of WW, maternal additive effects as well as individual and maternal heterosis improved WW by 18.5, 5.3 and 11.9 kg, respectively. Additive effects of N/N decreased WW (individual, ?12.1 kg; maternal, ?34.6 kg) whilst the individual and maternal heterosis had a favourable effect (+20.2 kg; +63.1 kg). In both N/N and S/S breeds, maternal recombination losses increased WW (30.7 and 48.2 kg) and individual recombination losses have the opposite effect (from ?12.1 to ?27.0 kg). In general terms, additive and non-additive effect of European breeds did not increase GL or have any effect on BW. However, increasing proportions of Nellore were associated with longer GL compared to H/ H. The use of Nellore as paternal breed may be related to heavier BW which may increase the incidence of dystocia. Positive effects of crossbreeding on WW were mainly due to the use of crossbred dams given the significant magnitude of maternal heterosis. The best combination of individual additive effects came from the utilisation of European breeds, whilst the greater magnitudes of both heterosis and recombination losses were observed in the Nellore crosses.
650 $aGANADO DE CARNE
653 $aADDITIVE EFFECTS
653 $aBEEF CATTLE
653 $aCARACTERÍSTICAS DE PREDESTETE
653 $aCROSSBREEDING GENETIC PARAMETERS
653 $aCRUZAMIENTO GENÉTICO ANIMAL
653 $aEFECTOS ADITIVOS
653 $aEFECTOS NO ADITIVOS
653 $aNON-ADDITIVE EFFECTS
653 $aPRE-WEANING TRAITS
700 1 $aGIMENO, D.
700 1 $aDIONELLO, N.J.L .
700 1 $aNAVAJAS, E.A.
773 $tLivestock Science$gv. 142. n. 1-3, p. 288-297, 2011.
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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/01/2020 |
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Actualizado : |
29/05/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
SILVA, D.A.; COSTA, C.N.; SILVA, A.A.; SILVA, H.T.; LOPES, P.S.; SILVA, F.F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. |
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Afiliación : |
DELVAN ALVES SILVA, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; CLAUDIO NÁPOLIS COSTA, Embrapa Dairy Cattle, Juiz de Fora, Brazil; ALESSANDRA ALVES SILVA, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; HUGO TEIXEIRA SILVA, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; PAULO SÁVIO LOPES, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; FABYANO FONSECA SILVA, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; RENATA VERONEZE, Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Brazil; GERTRUDE THOMPSON, Research Center in Biodiversity and Genetic Resources (CIBIO-InBio), University of Porto, Vairão, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Vairão, Portugal; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JÚLIO CARVALHEIRA, Research Center in Biodiversity and Genetic Resources (CIBIO-InBio), University of Porto, Vairão, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Vairão, Portugal. |
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Título : |
Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 1 May 2020, Volume 137, Issue 3, Pages 305-315. Doi: https://doi.org/10.1111/jbg.12459 |
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ISSN : |
0931-2668 |
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DOI : |
10.1111/jbg.12459 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 10 July 2019 / Revised: 31 October 2019 / Accepted: 3 November 2019 / First published: 08 December 2019.
Funding information: The authors acknowledge the Brazilian Holstein Cattle Breeders Association (ABCBRH) for providing data for this study. This study was partially financed by Coordination for the Improvement of Higher Education Personnel and Portuguese National Funding Agency for Science, Research and Technology (CAPES/FCT, nº 99999.008462/2014‐03 and 88887.125450/2016‐00), and National Council of Technological and Scientific Development (CNPq 465377/2014‐9 ‐ PROGRAMA INCT and CNPq 142467/20154). |
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Contenido : |
ABSTRACT.
Autoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and −0.019 (−0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and −0.022 (−0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder.
© 2019 Blackwell Verlag GmbH |
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Palabras claves : |
Autoregression; Dairy cattle; Legendre polynomials; Random regression. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 03092naa a2200313 a 4500
001 1060695
005 2020-05-29
008 2020 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $a10.1111/jbg.12459$2DOI
100 1 $aSILVA, D.A.
245 $aAutoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 10 July 2019 / Revised: 31 October 2019 / Accepted: 3 November 2019 / First published: 08 December 2019. Funding information: The authors acknowledge the Brazilian Holstein Cattle Breeders Association (ABCBRH) for providing data for this study. This study was partially financed by Coordination for the Improvement of Higher Education Personnel and Portuguese National Funding Agency for Science, Research and Technology (CAPES/FCT, nº 99999.008462/2014‐03 and 88887.125450/2016‐00), and National Council of Technological and Scientific Development (CNPq 465377/2014‐9 ‐ PROGRAMA INCT and CNPq 142467/20154).
520 $aABSTRACT. Autoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and −0.019 (−0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and −0.022 (−0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder. © 2019 Blackwell Verlag GmbH
653 $aAutoregression
653 $aDairy cattle
653 $aLegendre polynomials
653 $aRandom regression
700 1 $aCOSTA, C.N.
700 1 $aSILVA, A.A.
700 1 $aSILVA, H.T.
700 1 $aLOPES, P.S.
700 1 $aSILVA, F.F.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aAGUILAR, I.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Animal Breeding and Genetics, 1 May 2020, Volume 137, Issue 3, Pages 305-315. Doi: https://doi.org/10.1111/jbg.12459
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