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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
09/11/2015 |
Actualizado : |
09/11/2015 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
JORNADA ANUAL SOJA, 1989, CIAAB-EEE, TREINTA Y TRES, UY.; CHEBATAROFF, N.; SALDAIN, N.E.; DEAMBROSI, E.; ÁVILA, S.; ZORRILLA DE SAN MARTÍN, G.; ACEVEDO, A.; BLANCO, F.; PÉREZ, W. |
Afiliación : |
NICOLÀS CHEBATAROFF; NÉSTOR ELIO SALDAIN CROCCE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIFLOR STELLA ÁVILA SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANTONIO MARIA ACEVEDO VEGA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GUILLERMO BLANCO BORDÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Soja: Resultados experimentales 1988-89. |
Fecha de publicación : |
1989 |
Fuente / Imprenta : |
Treinta y Tres (Uruguay): CIAAB; EEE, 1989. |
Páginas : |
55 p. |
Serie : |
(CIAAB Resultados Experimentales; 25). |
Idioma : |
Español |
Notas : |
Centro de Investigaciones Agrícolas "Alberto Boerger" (CIAAB), Estación Experimental del Este (EEE). |
Contenido : |
Clima. Introducción. Evaluación de variedades. Ensayos regionales de fertilización. Servicio de semillas. Evaluación de curasemillas. |
Thesagro : |
SOJA. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5132/1/Soja-1988-1989.pdf
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Marc : |
LEADER 00950nam a2200253 a 4500 001 1053808 005 2015-11-09 008 1989 bl uuuu u00u1 u #d 100 1 $aJORNADA ANUAL SOJA, 1989, CIAAB-EEE, TREINTA Y TRES, UY. 245 $aSoja$bResultados experimentales 1988-89.$h[electronic resource] 260 $aTreinta y Tres (Uruguay): CIAAB; EEE$c1989 300 $a55 p. 490 $a(CIAAB Resultados Experimentales; 25). 500 $aCentro de Investigaciones Agrícolas "Alberto Boerger" (CIAAB), Estación Experimental del Este (EEE). 520 $aClima. Introducción. Evaluación de variedades. Ensayos regionales de fertilización. Servicio de semillas. Evaluación de curasemillas. 650 $aSOJA 700 1 $aCHEBATAROFF, N. 700 1 $aSALDAIN, N.E. 700 1 $aDEAMBROSI, E. 700 1 $aÁVILA, S. 700 1 $aZORRILLA DE SAN MARTÍN, G. 700 1 $aACEVEDO, A. 700 1 $aBLANCO, F. 700 1 $aPÉREZ, W.
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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 : |
30/11/2022 |
Actualizado : |
21/03/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BRUNES, L.C.; FARIA, C.U.D.; MAGNABOSCO, C.U.; LOBO, R.B.; PERIPOLLI, E.; AGUILAR, I.; BALDI, F. |
Afiliación : |
LUDMILLA COSTA BRUNES, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; CARINA UBIRAJARA DE FARIA, College of Veterinary Medicine, Federal University of Uberlandia, Uberlandia, 38410-337, Brazil; CLÁUDIO ULHOA MAGNABOSCO, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; RAYSILDO BARBOSA LOBO, National Association of Breeders and Researchers, Ribeirao Preto, 14020-230, Brazil; ELISA PERIPOLLI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil. |
Título : |
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. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Journal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8 |
ISSN : |
1234-1983 |
DOI : |
10.1007/s13353-022-00734-8 |
Idioma : |
Inglés |
Notas : |
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 Cerrados, Planaltina, Brazil; email:ludmillabrunes@hotmail.com -- |
Contenido : |
ABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFIpop would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI. © 2022, The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences. MenosABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach t... Presentar Todo |
Palabras claves : |
Accuracy; Beef cattle; Bos taurus indicus; Feed efficiency; Genomic selection; Residual feed intake equation. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 03223naa a2200301 a 4500 001 1063803 005 2023-03-21 008 2023 bl uuuu u00u1 u #d 022 $a1234-1983 024 7 $a10.1007/s13353-022-00734-8$2DOI 100 1 $aBRUNES, L.C. 245 $aGenomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle.$h[electronic resource] 260 $c2023 500 $aArticle 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 Cerrados, Planaltina, Brazil; email:ludmillabrunes@hotmail.com -- 520 $aABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFIpop would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI. © 2022, The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences. 653 $aAccuracy 653 $aBeef cattle 653 $aBos taurus indicus 653 $aFeed efficiency 653 $aGenomic selection 653 $aResidual feed intake equation 700 1 $aFARIA, C.U.D. 700 1 $aMAGNABOSCO, C.U. 700 1 $aLOBO, R.B. 700 1 $aPERIPOLLI, E. 700 1 $aAGUILAR, I. 700 1 $aBALDI, F. 773 $tJournal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8
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