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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
19/11/2015 |
Actualizado : |
08/03/2018 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
JORNADA ANUAL ARROZ-SOJA, 1983, CIAAB-EEE, TREINTA Y TRES, UY.; CHEBATAROFF, N.; DEAMBROSI, E.; BLANCO, P.H.; ÁVILA, S.; MÉNDEZ, R.; YANG, C.W.; WANG, W.J.; LAVECCHIA, A. |
Afiliación : |
NICOLÁS CHEBATAROFF; ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIFLOR STELLA ÁVILA SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAMÓN FELIPE MÉNDEZ LARROSA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES PASCUAL LAVECCHIA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Arroz-soja: Resultados de la experimentación regional en cultivos 1982-83. |
Fecha de publicación : |
1983 |
Fuente / Imprenta : |
Treinta y Tres (Uruguay): CIAAB; EEE, 1983 |
Páginas : |
104 p. |
Idioma : |
Español |
Notas : |
Actividad realizada en Agosto de 1983. |
Contenido : |
ARROZ
Mejoramiento
Épocas de siembra. Ensayos varietales. Ensayos regionales varietales. Respuesta varietal a nitrògeno. Convenio de Cooperación Técnico Agrícola con la República de China. Situación actual y perspectivas del mejoramiento genético de arroz en Uruguay.
Manejo
Ensayos regionales de fertilización. Manejo de nitrógeno. Discusión general de fertilización. Tesis de graduación. Ensayos especiales. Control de maleza.
Fitopatologìa
Camas de infección. Propagaciòn y daño provocado por enfermedades del tallo. Evaluación de fungicidas a campo. Evaluación de fungicidas en laboratorio.
SOJA
Ensayos varietales. Fertilización.
EVALUACIÒN DE DOS SISTEMAS INTENSIVOS DE PRODUCCIÓN EN SUELOS ARROCEROS.
DATOS CLIMÁTICOS |
Palabras claves : |
SISTEMA ARROZ-SOJA; SISTEMAS INTENSIVOS. |
Thesagro : |
ARROZ; SOJA. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5254/1/Arroz-Soja1982-1983.pdf
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Marc : |
LEADER 01562nam a2200277 a 4500 001 1053942 005 2018-03-08 008 1983 bl uuuu u00u1 u #d 100 1 $aJORNADA ANUAL ARROZ-SOJA, 1983, CIAAB-EEE, TREINTA Y TRES, UY. 245 $aArroz-soja$bResultados de la experimentación regional en cultivos 1982-83.$h[electronic resource] 260 $aTreinta y Tres (Uruguay): CIAAB; EEE$c1983 300 $a104 p. 500 $aActividad realizada en Agosto de 1983. 520 $aARROZ Mejoramiento Épocas de siembra. Ensayos varietales. Ensayos regionales varietales. Respuesta varietal a nitrògeno. Convenio de Cooperación Técnico Agrícola con la República de China. Situación actual y perspectivas del mejoramiento genético de arroz en Uruguay. Manejo Ensayos regionales de fertilización. Manejo de nitrógeno. Discusión general de fertilización. Tesis de graduación. Ensayos especiales. Control de maleza. Fitopatologìa Camas de infección. Propagaciòn y daño provocado por enfermedades del tallo. Evaluación de fungicidas a campo. Evaluación de fungicidas en laboratorio. SOJA Ensayos varietales. Fertilización. EVALUACIÒN DE DOS SISTEMAS INTENSIVOS DE PRODUCCIÓN EN SUELOS ARROCEROS. DATOS CLIMÁTICOS 650 $aARROZ 650 $aSOJA 653 $aSISTEMA ARROZ-SOJA 653 $aSISTEMAS INTENSIVOS 700 1 $aCHEBATAROFF, N. 700 1 $aDEAMBROSI, E. 700 1 $aBLANCO, P.H. 700 1 $aÁVILA, S. 700 1 $aMÉNDEZ, R. 700 1 $aYANG, C.W. 700 1 $aWANG, W.J. 700 1 $aLAVECCHIA, A.
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Registro original : |
INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
27/01/2020 |
Actualizado : |
29/05/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
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. |
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. |
Título : |
Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. |
Fecha de publicación : |
2020 |
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 |
ISSN : |
0931-2668 |
DOI : |
10.1111/jbg.12459 |
Idioma : |
Inglés |
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). |
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 |
Palabras claves : |
Autoregression; Dairy cattle; Legendre polynomials; Random regression. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
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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