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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/11/2022 |
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Actualizado : |
21/03/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BRUNES, L.C.; FARIA, C.U.D.; MAGNABOSCO, C.U.; LOBO, R.B.; PERIPOLLI, E.; AGUILAR, I.; BALDI, F. |
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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. |
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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. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Journal 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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ISSN : |
1234-1983 |
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DOI : |
10.1007/s13353-022-00734-8 |
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Idioma : |
Inglés |
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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 -- |
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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 |
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Palabras claves : |
Accuracy; Beef cattle; Bos taurus indicus; Feed efficiency; Genomic selection; Residual feed intake equation. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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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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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
10/08/2021 |
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Actualizado : |
10/08/2021 |
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Autor : |
BAI, M.; VELAZCO, J.I.; COATES, T. W.; PHILLIPS, F. A.; FLESCH, T. K.; HILL, J.; MAYER, D. G.; TOMKINS, N.W.; HEGARTY, R. S.; CHEN, D. |
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Afiliación : |
MEI BAI, Faculty of Veterinary and Agricultural Science, the University of Melbourne, Australia; JOSÉ I. VELAZCO, Faculty of Environmental and Rural Science, University of New England, Australia; TREVOR W. COATES, Faculty of Veterinary and Agricultural Science, the University of Melbourne, Australia; FRANCES A. PHILLIPS, Centre for Atmospheric Chemistry, University of Wollongong, Australia; THOMAS K. FLESCH, Department of Earth and Atmospheric Sciences, University of Alberta, Canada; JULIAN HILL, Ternes Agricultural Consulting, Australia; DAVID G. MAYER, Agri-Science Queensland, Australia; NIGEL W. TOMKINS, CSIRO Agriculture, Australian Tropical Science and Innovation Precinct, James Cook University, Australia; ROGER S. HEGARTY, School of Environmental and Rural Science, University of New England, Australia; DELI CHEN, Faculty of Veterinary and Agriculture Sciences, the Univesity of Melbourne, Australia. |
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Título : |
Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Atmospheric Measurement Techniques, May 2021,volume 14, Issue 5, pages 3469 - 3479. OPEN ACCESS. Doi: https://doi.org/10.5194/amt-14-3469-2021 |
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ISSN : |
1867-8548 |
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DOI : |
10.5194/amt-14-3469-2021 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 8 November 2020 // Discussion started: 25 November 2020 //Revised: 18 March 2021 // Accepted: 6 April 2021 // Published: 12 May 2021.
Corresponding Author: Mei Bai (mei.bai@unimelb.edu.au) |
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Contenido : |
The development and validation of management practices to mitigate greenhouse gas (GHG) emissions from livestock require accurate emission measurements. This study assessed the accuracy of a practical inverse dispersion modelling (IDM) technique to quantify methane (CH4) emitted from a small cattle herd (16 animals) confined to a 63 m × 60 m experimental pen. The IDM technique calculates emissions from the increase in the CH4 concentration measured downwind of the animals. The measurements were conducted for 7 d. Two types of open-path (OP) gas sensors were used to measure concentration in the IDM calculation: a Fourier transform infrared spectrometer (IDM-FTIR) or a CH4 laser (IDM-Laser). The actual cattle emission rate was measured with a tracer-ratio technique using nitrous oxide (N2O) as the tracer gas. We found very good agreement between the two IDM emission estimates (308.1 ± 2.1 ? mean ± SE ? and 304.4 ± 8.0 g CH4 head−1 d−1 for the IDM-FTIR and IDM-Laser respectively) and the tracer-ratio measurements (301.9 ± 1.5 g CH4 head−1 d−1). This study suggests that a practical IDM measurement approach can provide an accurate method of estimating cattle emissions. |
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Palabras claves : |
AGRICULTURE; AGRICULTURE AND ENVIRONMENT; ANIMAL CULTURE; ANIMAL NUTRITION; CATTLE; FEEDS AND FEEDING; HOUSING AND ENVIRONMENTAL CONTROL; RANGE MANAGEMENT; RANGELANDS. |
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NAL Tesauro : |
AGRICULTURE. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15925/1/amt-14-3469-2021.pdf
https://amt.copernicus.org/articles/14/3469/2021/
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Marc : |
LEADER 02706naa a2200385 a 4500
001 1062343
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
022 $a1867-8548
024 7 $a10.5194/amt-14-3469-2021$2DOI
100 1 $aBAI, M.
245 $aBeef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques.$h[electronic resource]
260 $c2021
500 $aArticle history: Received: 8 November 2020 // Discussion started: 25 November 2020 //Revised: 18 March 2021 // Accepted: 6 April 2021 // Published: 12 May 2021. Corresponding Author: Mei Bai (mei.bai@unimelb.edu.au)
520 $aThe development and validation of management practices to mitigate greenhouse gas (GHG) emissions from livestock require accurate emission measurements. This study assessed the accuracy of a practical inverse dispersion modelling (IDM) technique to quantify methane (CH4) emitted from a small cattle herd (16 animals) confined to a 63 m × 60 m experimental pen. The IDM technique calculates emissions from the increase in the CH4 concentration measured downwind of the animals. The measurements were conducted for 7 d. Two types of open-path (OP) gas sensors were used to measure concentration in the IDM calculation: a Fourier transform infrared spectrometer (IDM-FTIR) or a CH4 laser (IDM-Laser). The actual cattle emission rate was measured with a tracer-ratio technique using nitrous oxide (N2O) as the tracer gas. We found very good agreement between the two IDM emission estimates (308.1 ± 2.1 ? mean ± SE ? and 304.4 ± 8.0 g CH4 head−1 d−1 for the IDM-FTIR and IDM-Laser respectively) and the tracer-ratio measurements (301.9 ± 1.5 g CH4 head−1 d−1). This study suggests that a practical IDM measurement approach can provide an accurate method of estimating cattle emissions.
650 $aAGRICULTURE
653 $aAGRICULTURE
653 $aAGRICULTURE AND ENVIRONMENT
653 $aANIMAL CULTURE
653 $aANIMAL NUTRITION
653 $aCATTLE
653 $aFEEDS AND FEEDING
653 $aHOUSING AND ENVIRONMENTAL CONTROL
653 $aRANGE MANAGEMENT
653 $aRANGELANDS
700 1 $aVELAZCO, J.I.
700 1 $aCOATES, T. W.
700 1 $aPHILLIPS, F. A.
700 1 $aFLESCH, T. K.
700 1 $aHILL, J.
700 1 $aMAYER, D. G.
700 1 $aTOMKINS, N.W.
700 1 $aHEGARTY, R. S.
700 1 $aCHEN, D.
773 $tAtmospheric Measurement Techniques, May 2021,volume 14, Issue 5, pages 3469 - 3479. OPEN ACCESS. Doi: https://doi.org/10.5194/amt-14-3469-2021
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