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| Registros recuperados : 15 | |
| 1. |  | PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; BALDI, F. Effect of growth path on the performance and carcass traits of Hereford steers finished either on pasture or in feedlot. Animal Production Science, 2018, v. 58, p. 1341-1348. https://doi.org/10.1071/AN16061 Article history: Received: 2 February 2016 // Accepted: 2 December 2016 // Published online: 28 February 2017. Corresponding author. Email: elisa_peripolli@hotmail.com| Biblioteca(s): INIA Tacuarembó. |
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| 2. | | RODRÍGUEZ, J.D.; PERIPOLLI, E.; LONDOÑO-GIL, M.; ESPIGOLAN, R.; LÔBO, R. B.; LÓPEZ-CORREA, R.; AGUILAR, I.; BALDI, F. Effect of minor allele frequency and density of single nucleotide polymorphism marker arrays on imputation performance and prediction ability using the single-step genomic Best Linear Unbiased Prediction in a simulated beef cattle population. Research paper. Animal Production Science. 2023, volume 63, issue 9, p. 844-852. https://doi.org/10.1071/AN21581 Article history: Submitted 1 December 2021, Accepted 1 March 2023, Published 4 April 2023. -- Correspondence to: Juan Diego Rodríguez,
Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrarias e Veterinárias, Departamento...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | BRUNES, L.C.; FARIA, C.U.D.; MAGNABOSCO, C.U.; LOBO, R.B.; PERIPOLLI, E.; AGUILAR, I.; BALDI, F. Genomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle. Journal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8 Article history: Received 25 February 2022; Revised 3 September 2022; Accepted 26 October 2022; Published online 15 November 2022; Published February 2023. -- Corresponding author: Brunes, L.C.; Animal Performance Center, Embrapa...| Biblioteca(s): INIA Las Brujas. |
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| 4. | | FERRINHO, A.M.; PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; BALDI, F. Effect of growth rate on beef fatty acid profile from Hereford steers finished either on pasture or in feedlot. Journal of Animal Science, 2017, v.95, suppl.4. p.180-181. Article history: Published online: August 10, 2017.| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 5. | | LONDOÑO-GIL, M.; CARDONA-CIFUENTES, D.; ESPIGOLAN, R.; PERIPOLLI, E.; LÔBO, R. B.; PEREIRA, A. S. C.; AGUILAR, I.; BALDI, F. Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle. Tropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4 Article history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de...| Biblioteca(s): INIA Las Brujas. |
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| 6. | | BERTON, MP.; DE OLIVEIRA SILVA, RM.; PERIPOLLI, E.; STAFUZZA ,NB.; MARTIN, JF.; ÁLVAREZ, MS.; GAVINÃ, BV.; TORO, MA.; BANCHERO, G.; OLIVEIRA ,PS.; ELER, JP.; BALDI, F.; FERRAZ, JB. Genomic regions and pathways associated with gastrointestinal parasites resistance in Santa Inês breed adapted to tropical climate. Journal of Animal Science and Biotechnology , v.8.p. 73.OPEN ACCESS. Received: 7 December 2016 Accepted: 12 June 2017 Published: 4 September 2017. Article history: Received: 7 December 2016 //Accepted: 12 June 2017 //Published: 4 September 2017. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and...| Biblioteca(s): INIA La Estanzuela. |
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| 7. | | RODRÍGUEZ NEIRA, J.D.; PERIPOLLI, E.; DE NEGREIROS M.P.M.; ESPIGOLAN, R.; LÓPEZ-CORREA R.; AGUILAR, I.; LOBO R.B.; BALDI, F. Prediction ability for growth and maternal traits using SNP arrays based on different marker densities in Nellore cattle using the ssGBLUP. Journal of Applied Genetics, 2022, Volume 63, Issue 2, pages 389-400. doi: https://doi.org/10.1007/s13353-022-00685-0 Article history: Received 26 September 2021; Revised 25 January 2022; Accepted 2 February 2022.
Corresponding author: Rodriguez Neira, J.D.; Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Universidade...| Biblioteca(s): INIA Las Brujas. |
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| 8. | | TONUSSI, R.L.; LONDOÑO-GIL, M.; DE OLIVEIRA SILVA, R.M.; MAGALHÃES, A.F.B.; AMORIM, S:T.; KLUSKA, S.; ESPIGOLAN, R.; PERIPOLLI, E.; PEREIRA, A.S.C.; LÔBO, R.B.; AGUILAR, I.; LOURENÇO, D.A.L.; BALDI, F. Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information. Tropical Animal Health and Production, 2021, Volume 53, Issue 4, Article number 432. doi: https://doi.org/10.1007/s11250-021-02879-w Article history: Received 19 March 2021; Accepted 30 July 2021; Published online 10 August 2021.
Corresponding author: Londoño-Gil, M.; Grupo de Melhoramento Animal, Faculdade de Ciências Agrárias E Veterinárias, Universidade Estadual...| Biblioteca(s): INIA Las Brujas. |
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| 9. | | FERRINHO, A.M.; PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; KLUSKA, S.; MUELLER, L.F.; BERCHIELLI, T.T.; BALDI, F. Effect of growth path on carcass and meat-quality traits of Hereford steers finished on pasture or in feedlot. Animal Production Science, 2020, Volume 60, Issue 2, Pages 323-332. Doi: https://doi.org/10.1071/AN18075 Article history: Received 30 January 2018 / Accepted 14 May 2019 / Published online 4 December 2019.
Funding information:
This work was supported by Sao Paulo Research Foundation (FAPESP grant #2016/22022-4 and #2011/21241-0), Brazil,...| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 10. | | BERTON, MP.; DE OLIVEIRA SILVA, R.M.; PERIPOLLI, E.; STAFUZZA, N.B.; FERNÁNDEZ, J.; SAURA, S.; VILLANUEVA, B.; TORO, M.A.; BANCHERO, G.; OLIVEIRA, P.S.; ELER, J.P.; BALDI, F.; FERRAZ, J.B.S. Genomic regions and pathways associated with resistance to gastrointestinal parasites in tropical sheep breed. Journal of Animal Science, 2017, v.95, suppl.4.p.107.| Biblioteca(s): INIA La Estanzuela. |
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| 11. | | TONUSSI, R.L.; SILVA, R.M.O.; MAGALHÃES, A.F.B.; PERIPOLLI , E.; OLIVIERI, B.F.; FEITOSA, F.L.B.; PEREIR, A.S.C.; LÔBO, R.B.; MAGNABOSCO, C.U.; AGUILAR, I.; BALDI, F. Impact of multiple sire mating system on the accuracy of genomic breeding value prediction in a beef cattle population under selection . [abstract 206]. Issue Section: Breeding and Genetics. Journal of Animal Science. 2017, Volume 95, Issue Supplement 4, Page 102. https://doi.org/10.2527/asasann.2017.206 Article history: Published 01 August 2017. --| Biblioteca(s): INIA Las Brujas. |
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| 12. | | TONUSSI, R. L.; SILVA, R. M. D. O.; MAGALHÃES, A.F.B.; ESPIGOLAN, R.; PERIPOLLI, E.; OLIVIERI, B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LÔBO, R. B.; BEZERRA, L. A. F.; MAGNABOSCO, C. D. U.; LOURENÇO, D.A.L.; AGUILAR, I.; BALDI, F. Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data. (Research article). PLoS ONE, September 2017, Volume 12, Issue 9, Article number e0181752. OPEN ACCESS. Article history: Received September 22, 2016 // Accepted July 6, 2017 // Published September 28, 2017.
Data Availability Statement: All relevant data are within the paper, its Supporting Information files, and in Figshare.
Funding: This...| Biblioteca(s): INIA Las Brujas. |
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| 13. | | CHIAIA, H.L.J.; PERIPOLLI, E.; DE OLIVEIRA SILVA, R.M.; FEITOSA, F.L.B.; DE LEMOS, M.V.A.; BERTON, M.P.; OLIVIERI, B.F.; ESPIGOLAN, R.; TONUSSI, R.L.; GORDO, D.G.M.; DE ALBUQUERQUE, L.G.; DE OLIVEIRA, H.N.; FERRINHO, A.M.; MUELLER, L.F.; KLUSKA, S.; TONHATI, H.; PEREIRA, A.S.C.; AGUILAR, I.; BALDI, F. Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes. Journal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501. Article history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018.| Biblioteca(s): INIA Las Brujas. |
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| 14. | | AMORIM, S.T.; KLUSKA, S.; PIATTO BERTON, M.; ANTUNES DE LEMOS, M.V.; PERIPOLLI, E.; BONVINO STAFUZZA, N.; FERNÁNDEZ MARTÍN, J.; SAURA ÁLVAREZ, M.; VILLANUEVA GAVIÑA, B.; TORO, M.A.; BANCHERO, G.; SILVA OLIVEIRA, P.; GRIGOLETTO, L.; PEREIRA ELER, J.; BALDI, F.; STERMAN FERRAZ, J.B. Genomic study for maternal related traits in Santa Inês sheep breed. Livestock Science, November 2018, Volume 217, Pages 76-84. Doi: https://doi.org/10.1016/j.livsci.2018.09.011 Article history: Received 23 January 2018 // Revised 6 September 2018 // Accepted 11 September 2018 // Available online 20 September 2018.| Biblioteca(s): INIA Las Brujas. |
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| 15. | | FEITOSA, F. L. B.; OLIVIERI, B. F.; ABOUJAOUDE, C.; PEREIRA, A. S. C.; DE LEMOS, M. V. A.; CHIAIA, H. L. J.; BERTON, M. P.; PERIPOLLI, E.; FERRINHO, A. M.; MUELLER, L. F.; MAZZALI, M. R.; DE ALBUQUERQUE, L. G.; DE OLIVERA, H. N.; TONHATI, H.; ESPIGOLAN, R.; TONUSSI, R. L.; DE OLIVIERA SILVA, R. M.; GORDO, D. G. M.; MAGALHAES, A. F. B.; AGUILAR, I.; BALDI, F. S. B. Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot. Journal of Applied Genetics, 2017, 58 (1), 123-132. Article history: Received: 15 December 2015 /Revised: 10 March 2016 /Accepted: 5 July 2016 / Published Online: 30 July 2016| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 15 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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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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