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| Registros recuperados : 25 | |
| 4. |  | MAZZILLI, S. R.; ABBATE, S.; SILVA, H.; MENDOZA, Y. Apis mellifera visitation enhances productivity in rapeseed. Journal of Apicultural Research, 2023, volume 62, issue 2, pp. 402-410. doi: https://doi.org/10.1080/00218839.2020.1856558 Article history: Received 11 June 2019; Accepted 17 August 2020. -- Correspondence author: Mazzilli, S.R.; Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay;...| Biblioteca(s): INIA Treinta y Tres. |
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| 7. | | ABBATE, S.; MADEIRA, FILIPE; SILVA, H.; ALTIER, N.; PONS, X. Association between landscape composition and the abundance of predator and herbivore arthropods in Bt and non-Bt soybean crops. Agriculture, Ecosystems and Environment, 2022, Volume 336, article number 108027. doi: https://doi.org/10.1016/j.agee.2022.108027 Article history: Received 23 December 2021; Received in revised form 3 April 2022; Accepted 13 May 2022; Available online 29 May 2022; To be published 15 September 2022. Corresponding author: Abbate, S.; Ruta 3 km 363, Paysandú, Uruguay;...| Biblioteca(s): INIA Las Brujas. |
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| 12. | | ARMAND PILÓN, A.; SILVA, H.; ABBATE, S.; BENTANCUR, O.; HEGUABURU, V. Development and reproductive potential of Plutella xylostella (Lepidoptera: Plutellidae) in five Brassicaceae hosts. International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.381-389. doi: https://doi.org/10.1080/09670874.2022.2134942 Article history: Received 30 April 2022, Accepted 04 October 2022, Published online: 11 November 2022. Funding: This work was supported by Agencia Nacional de Investigación e Innovación (ANII) under Grant POS_NAC_2017_1_141443 and...| Biblioteca(s): INIA Las Brujas. |
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| 13. | | ALTAMIRANO, A.; SILVA, H.DA; DURÁN, A.; ECHEVARRÍA, A.; PANARIO, D.; PUENTES, R. Carta de reconocimiento de suelos del Uruguay : clasificacion de suelos Montevideo (Uruguay): MAP, 1979. v. "La Biblioteca EN posee : v1-Clasificación de Suelos ; v3-Descripción de las unidades de suelos ; apendice v3 Descripciones, datos físicos y químicos de los suelos dominantes (2 tomos). - La biblioteca SG posee : v1, v3, apend. v3 (2t.)....| Biblioteca(s): INIA Las Brujas; INIA Salto Grande; INIA Treinta y Tres. |
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| 16. | | GARCÍA, L. F.; NÚÑEZ, E.; LACAVA, M.; SILVA, H.; MARTÍNEZ, S.; PÉTILLON, J. Experimental assessment of trophic ecology in a generalist spider predator: implications for biocontrol in uruguayan crops. [Original contribution]. Journal of Applied Entomology, February 2021, Volume145, Issue1-2, p.82-91. Doi: https://doi.org/10.1111/jen.12811 Article history: Received: 22 April 2020; Revised: 15 July 2020; Accepted: 17 July 2020; First published: 05 September 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 17. | | ABBATE, S.; MADEIRA, F.; ALTIER, N.; ARMAND-PILÓN, A.; SILVA, H.; PONS, X. O3. Efecto de la composición del paisaje sobre la abundancia de artrópodos predadores y fitófagos en soja Bt y no Bt. [Presentación oral]. Presentaciones orales. In: Sociedad Uruguaya de Fitopatología (SUFIT). Jornada Uruguaya de Fitopatología, 7., Jornada Uruguaya de Protección Vegetal, 5., 10 noviembre 2023, Montevideo, Uruguay. Libro de resúmenes. 30 años SUFIT, 1993-2023. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2023. p. 17. Financiamiento: Fondo María Viñas (FMV-2-2016-1-126142) de la Agencia Nacional de Investigación e Innovación ANII-Uruguay. Programa de becas nacionales (POS_NAC_2017_1_141080) de la Agencia Nacional de Investigación e Innovación...| Biblioteca(s): INIA Las Brujas. |
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| 19. | | ALZUGARAY, R.; RIBEIRO, A.; SILVA, H.; STEWART, S.; CASTIGLIONI, E.; BARTABURU, S.; MARTINEZ, J.J. Prospección de agentes de mortalidad natural de áfidos en leguminosas forrajeras en Uruguay. [Survey of natural mortality agents of aphids in forage legumes in Uruguay]. Agrociencia, 2010, v. 14, no. 1, p. 27-35 Article history: Recibido 18/11/08 // Aceptado 21/4/10.| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 20. | | CASTIGLIONI, E.; RIBEIRO, A.; ALZUGARAY, R.; SILVA, H.; ÁVILA, I.; LOIÁCONO, M. Prospección de parasitoides de huevos de Piezodorus guildinii (Westwood) (Hemiptera: Pentatomidae) en el litoral oeste de Uruguay. [Survey of egg parasitoids of Piezodorus guildinii (Westwood) (Hemiptera: Pentatomidae) in the western litoral of Uruguay]. Agrociencia Uruguay, 2010, v. 14, no. 2, p. 22-25 Article history: Recibido 9/9/09 // Aceptado 2/8/10.| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| Registros recuperados : 25 | |
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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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