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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
27/11/2020 |
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Actualizado : |
22/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
HERD, R.M.; ARTHUR, P.F.; HEGARTY, R.S.; BIRD-GARDINER, T.; DONOGHUE, K.A.; VELAZCO, J.I. |
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Afiliación : |
NSW Department of Primary Industries, Livestock Industry Centre. Environmental and Rural Science, University of New England, Australia.; NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute; Environmental and Rural Science, University of New England.; NSW Department of Primary Industries, Agricultural Research Centre. Australia; NSW Department of Primary Industries, Agricultural Research Centre. Australia; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Predicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-study. (Article in Press) |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Animal Production Science, 4 Nov. 2020, 61(4), p. 381-389 Doi: https://doi.org/10.1071/AN20162 |
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DOI : |
10.1071/AN20162 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 3 April 2020, accepted 11 October 2020, published online 4 November 2020. |
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Contenido : |
Context. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed.
Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency).
Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet.
Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations.
Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment, MBW with CPR explained 57% of the variation in MEI, and including MPR did not account for any additional variation. In the heifer experiment, MBW with CPR explained 50%, and with MPR accounted for 52% of the variation in MEI. Heat production plus ER explained 60, 35 and 85% of the variation in MEI in the steer and the heifer experiments, and in the pooled data from both experiments, respectively.
Conclusions. Multiple short-term breath measurements, together simple BW data, can be used to predict MEI by free-ranging cattle in studies in which animals do not have feed-intake or ADG recorded.
Implications. This methodology can be used for research into improving feed efficiency by farm animals grazing pastures. MenosContext. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed.
Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency).
Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet.
Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations.
Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment... Presentar Todo |
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Palabras claves : |
AVERAGE DAILY GAIN; CARBON DIOXIDE; FEED EFFICIENCY; FEED INTAKE; GRAZING; METABOLISABLE ENERGY INTAKE; METHANE; METHANE PRODUCTION RATE; OXYGEN; PASTURE. |
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Asunto categoría : |
L02 Alimentación animal |
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Marc : |
LEADER 03329naa a2200325 a 4500
001 1061522
005 2021-02-22
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1071/AN20162$2DOI
100 1 $aHERD, R.M.
245 $aPredicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-study. (Article in Press)$h[electronic resource]
260 $c2020
500 $aArticle history: Received 3 April 2020, accepted 11 October 2020, published online 4 November 2020.
520 $aContext. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed. Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency). Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet. Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations. Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment, MBW with CPR explained 57% of the variation in MEI, and including MPR did not account for any additional variation. In the heifer experiment, MBW with CPR explained 50%, and with MPR accounted for 52% of the variation in MEI. Heat production plus ER explained 60, 35 and 85% of the variation in MEI in the steer and the heifer experiments, and in the pooled data from both experiments, respectively. Conclusions. Multiple short-term breath measurements, together simple BW data, can be used to predict MEI by free-ranging cattle in studies in which animals do not have feed-intake or ADG recorded. Implications. This methodology can be used for research into improving feed efficiency by farm animals grazing pastures.
653 $aAVERAGE DAILY GAIN
653 $aCARBON DIOXIDE
653 $aFEED EFFICIENCY
653 $aFEED INTAKE
653 $aGRAZING
653 $aMETABOLISABLE ENERGY INTAKE
653 $aMETHANE
653 $aMETHANE PRODUCTION RATE
653 $aOXYGEN
653 $aPASTURE
700 1 $aARTHUR, P.F.
700 1 $aHEGARTY, R.S.
700 1 $aBIRD-GARDINER, T.
700 1 $aDONOGHUE, K.A.
700 1 $aVELAZCO, J.I.
773 $tAnimal Production Science, 4 Nov. 2020, 61(4), p. 381-389 Doi: https://doi.org/10.1071/AN20162
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
23/12/2022 |
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Actualizado : |
23/01/2023 |
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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 : |
CARAM, N.; SOCA, P.; SOLLENBERGER, L.E.; BAETHGEN, W.; WALLAU, M.O.; MAILHOS, M.E. |
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Afiliación : |
NICOLAS CARAM, Agronomy Department, University of Florida, USA. / Departamento de Producción Animal y Pasturas, Facultad de Agronomía-Universidad de la República, Paysandú, Uruguay.; PABLO SOCA, Departamento de Producción Animal y Pasturas, Facultad de Agronomía-Universidad de la República, Paysandú, Uruguay.; LYNN E. SOLLENBERGER, Agronomy Department, University of Florida, USA.; WALTER E. BAETHGEN, International Research Institute for Climate and Society, Columbia University, USA. / INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO O. WALLAU, Agronomy Department, University of Florida, USA.; MARIA E. MAILHOS, Agronomy Department, University of Florida, USA. |
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Título : |
Studying beef production evolution to plan for ecological intensification of grazing ecosystems. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Agricultural Systems, 2023, volume 205, Article number 103582. doi: https://doi.org/10.1016/j.agsy.2022.103582 |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2022.103582 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 5 September 2022; Received in revised form 4 November 2022; Accepted 2 December 2022, available online 6 December 2022.
E-mail address: ncaramfernandezv@ufl.edu (N. Caram). |
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Contenido : |
CONTEXT: A challenge facing the livestock sector is improving beef production while mitigating negative environmental impacts. Analyzing its past productive and environmental performance may elucidate strategies for improving efficiency of grassland-based systems and identify future research and public policy priorities.
OBJECTIVES: Describe past and current dynamics and assess potential future scenarios of the Uruguayan beef production sector, considering historical beef production growth rate (kg carcass), partitioning in land use by the cattle sector (ha), cattle animal performance (kg carcass animal− 1 year− 1) and stocking rate (animal ha− 1) since 1966.
METHODS: We quantified drivers of beef production and total enteric methane (CH4) emissions and modeled the gap between their current and potential levels by applying new management practices at country scale. Potential systems included reduced age of replacement heifers at first pregnancy and greater cow weaning rates.
Results AND CONCLUSIONS: Cattle land area expansion and increased animal performance explained most of beef production growth (33 and 52%, respectively), while stocking rate had a negligible effect. We identified that recent beef production was driven by improved pasture area (R2 = 0.42), which represented only 21% of cattle area. This disproportionate effect showed a dependency of national beef production on improved pastures. The current weaning rate (65%) and the number of replacement heifers that have first pregnancy by 36 months of age (480,000 heads) revealed a national inefficiency, falling short of the potential of grazing systems based on native pastures. When concepts and principles of ecological intensification of native pasture grazing systems are applied optimally, weaning rate can be increased from 65 to 85% and age of first pregnancy reduced from 36 to 24
months, decreasing national enteric CH4 emissions by 13%. The weaknesses identified in the national beef production sector support re-focusing research, public policy, and echnologies applied by farmers to shift the paradigm of beef production to greater ecological intensification based on native pastures. In this way, it will be possible to increase beef production and mitigate environmental impacts of grazing systems.
SIGNIFICANCE: We demonstrate that re-focusing beef production from improved pastures to native pastures, while enhancing their management, will mitigate the CH4 emissions of the beef sector at large scales and will underpin the annual beef production, leading to a stable annual production, reducing the dependency on improved pasture area and providing ecosystem services. MenosCONTEXT: A challenge facing the livestock sector is improving beef production while mitigating negative environmental impacts. Analyzing its past productive and environmental performance may elucidate strategies for improving efficiency of grassland-based systems and identify future research and public policy priorities.
OBJECTIVES: Describe past and current dynamics and assess potential future scenarios of the Uruguayan beef production sector, considering historical beef production growth rate (kg carcass), partitioning in land use by the cattle sector (ha), cattle animal performance (kg carcass animal− 1 year− 1) and stocking rate (animal ha− 1) since 1966.
METHODS: We quantified drivers of beef production and total enteric methane (CH4) emissions and modeled the gap between their current and potential levels by applying new management practices at country scale. Potential systems included reduced age of replacement heifers at first pregnancy and greater cow weaning rates.
Results AND CONCLUSIONS: Cattle land area expansion and increased animal performance explained most of beef production growth (33 and 52%, respectively), while stocking rate had a negligible effect. We identified that recent beef production was driven by improved pasture area (R2 = 0.42), which represented only 21% of cattle area. This disproportionate effect showed a dependency of national beef production on improved pastures. The current weaning rate (65%) and the number of replace... Presentar Todo |
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Palabras claves : |
ANIMAL PERFORMANCE; ENERGY USE EFFICIENCY; GRAZING SYSTEMS; GREENHOUSE GASES; NATIVE PASTURES; RIO DE LA PLATA GRASSLANDS. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03777nam a2200277 a 4500
001 1063889
005 2023-01-23
008 2023 bl uuuu u01u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2022.103582$2DOI
100 1 $aCARAM, N.
245 $aStudying beef production evolution to plan for ecological intensification of grazing ecosystems.$h[electronic resource]
260 $aAgricultural Systems, 2023, volume 205, Article number 103582. doi: https://doi.org/10.1016/j.agsy.2022.103582$c2022
500 $aArticle history: Received 5 September 2022; Received in revised form 4 November 2022; Accepted 2 December 2022, available online 6 December 2022. E-mail address: ncaramfernandezv@ufl.edu (N. Caram).
520 $aCONTEXT: A challenge facing the livestock sector is improving beef production while mitigating negative environmental impacts. Analyzing its past productive and environmental performance may elucidate strategies for improving efficiency of grassland-based systems and identify future research and public policy priorities. OBJECTIVES: Describe past and current dynamics and assess potential future scenarios of the Uruguayan beef production sector, considering historical beef production growth rate (kg carcass), partitioning in land use by the cattle sector (ha), cattle animal performance (kg carcass animal− 1 year− 1) and stocking rate (animal ha− 1) since 1966. METHODS: We quantified drivers of beef production and total enteric methane (CH4) emissions and modeled the gap between their current and potential levels by applying new management practices at country scale. Potential systems included reduced age of replacement heifers at first pregnancy and greater cow weaning rates. Results AND CONCLUSIONS: Cattle land area expansion and increased animal performance explained most of beef production growth (33 and 52%, respectively), while stocking rate had a negligible effect. We identified that recent beef production was driven by improved pasture area (R2 = 0.42), which represented only 21% of cattle area. This disproportionate effect showed a dependency of national beef production on improved pastures. The current weaning rate (65%) and the number of replacement heifers that have first pregnancy by 36 months of age (480,000 heads) revealed a national inefficiency, falling short of the potential of grazing systems based on native pastures. When concepts and principles of ecological intensification of native pasture grazing systems are applied optimally, weaning rate can be increased from 65 to 85% and age of first pregnancy reduced from 36 to 24 months, decreasing national enteric CH4 emissions by 13%. The weaknesses identified in the national beef production sector support re-focusing research, public policy, and echnologies applied by farmers to shift the paradigm of beef production to greater ecological intensification based on native pastures. In this way, it will be possible to increase beef production and mitigate environmental impacts of grazing systems. SIGNIFICANCE: We demonstrate that re-focusing beef production from improved pastures to native pastures, while enhancing their management, will mitigate the CH4 emissions of the beef sector at large scales and will underpin the annual beef production, leading to a stable annual production, reducing the dependency on improved pasture area and providing ecosystem services.
653 $aANIMAL PERFORMANCE
653 $aENERGY USE EFFICIENCY
653 $aGRAZING SYSTEMS
653 $aGREENHOUSE GASES
653 $aNATIVE PASTURES
653 $aRIO DE LA PLATA GRASSLANDS
700 1 $aSOCA, P.
700 1 $aSOLLENBERGER, L.E.
700 1 $aBAETHGEN, W.
700 1 $aWALLAU, M.O.
700 1 $aMAILHOS, M.E.
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