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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/10/2024 |
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Actualizado : |
30/10/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BARUSELLI, P. S.; ABREU, L. A.; MENCHACA, A.; BÓ, G. A. |
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Afiliación : |
P. S. BARUSELLI, Department of Animal Reproduction, University of São Paulo, São Paulo, Brazil; L. A. ABREU, Department of Animal Reproduction, University of São Paulo, São Paulo, Brazil; JOSE ALEJO MENCHACA BARBEITO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto de Reproducción Animal Uruguay (Fundación IRAUy), Montevideo, Uruguay; G. A. BÓ, Instituto de Reproducción Animal Córdoba (IRAC), Córdoba, Argentina; Universidad Nacional de Villa Maria, Cordoba, Argentina. |
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Título : |
The future of beef production in South America. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Theriogenology, 2025, Volume 231, Pages 21-28. https://doi.org/10.1016/j.theriogenology.2024.10.004 |
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ISSN : |
0093-691X |
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DOI : |
10.1016/j.theriogenology.2024.10.004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 1 September 2024, Revised 3 October 2024, Accepted 6 October 2024, Available online 8 October 2024, Version of Record 10 October 2024, To be published 1 January 2025. -- Corresponde: Baruselli, P.S.; Department of Animal Reproduction, University of São Paulo, São Paulo, Brazil; email:barusell@usp.br -- Funding: FAPESP (grant number 2019/14679-1), CNPq (grant number 315978/2021-0), and CAPES (grant number 001) for original research included in this review. -- Part of special issue: Anniversary SI in THE (https://www.sciencedirect.com/science/journal/0093691X/vsi/10JH4BB3RP7 ), Edited by Dr. Marc-Antoine Driancourt Astek, Boulogne Billancourt, France. |
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Contenido : |
ABSTRACT.- South American beef production varies due to diverse climates, environmental conditions, animal breeds (Bos indicus, Bos taurus and crossbreeds), management strategies, and nutritional sources. Applying technology in the South American beef production system can significantly enhance efficiency, sustainability, and profitability. Reproductive efficiency is a significant challenge, especially in cow-calf operation systems conducted under adverse conditions. Consequently, implementing effective assisted reproduction technologies (ART) can make a significant contribution. In the last two decades, the development of fixed-time artificial insemination (FTAI) protocols permitted the widespread application of artificial insemination for breeding management and genetic improvement in beef herds in South America. Nowadays, FTAI is being applied in South America in large-scale programs, with around 20 % of heifers and cows receiving this technology every year. This results in a greater calving rate and significant genetic gain occurring in this territory. Also, in vitro embryo production, mainly using sex-selected sperm has been widely applied in this region, leading to significant improvements in herd genetics and productivity. Recently, 94 % of all embryo transfers in South America consist of in vitro-produced embryos (41,429 being in vivo-derived and 650,782 being in vitro-produced embryos), mainly using fixed-time embryo transfer technology (FTET). Genomic selection combined with in vitro embryo production with oocytes from heifer calves provides a powerful technology platform to reduce generation interval and significantly increase the rate of genetic gain in beef cattle. Emerging biotechnologies, such as genome editing via the CRISPR/Cas system, are being developed to enhance productivity, confer resilience to adverse environmental conditions, increase disease resistance, and control pest species that affect livestock. Finally, while all these technologies offer significant potential, further progresses are needed to transform livestock production. The vast geographical scale and diverse climates of South America make regional knowledge crucial for aligning beef production with sustainability goals and supporting global food security. © 2024 MenosABSTRACT.- South American beef production varies due to diverse climates, environmental conditions, animal breeds (Bos indicus, Bos taurus and crossbreeds), management strategies, and nutritional sources. Applying technology in the South American beef production system can significantly enhance efficiency, sustainability, and profitability. Reproductive efficiency is a significant challenge, especially in cow-calf operation systems conducted under adverse conditions. Consequently, implementing effective assisted reproduction technologies (ART) can make a significant contribution. In the last two decades, the development of fixed-time artificial insemination (FTAI) protocols permitted the widespread application of artificial insemination for breeding management and genetic improvement in beef herds in South America. Nowadays, FTAI is being applied in South America in large-scale programs, with around 20 % of heifers and cows receiving this technology every year. This results in a greater calving rate and significant genetic gain occurring in this territory. Also, in vitro embryo production, mainly using sex-selected sperm has been widely applied in this region, leading to significant improvements in herd genetics and productivity. Recently, 94 % of all embryo transfers in South America consist of in vitro-produced embryos (41,429 being in vivo-derived and 650,782 being in vitro-produced embryos), mainly using fixed-time embryo transfer technology (FTET). Genomic selection com... Presentar Todo |
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Palabras claves : |
CO2 equivalent emissions; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA; Productive and reproductive efficiency; Profitable beef and dairy industry; Sustainability. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03804naa a2200253 a 4500
001 1064904
005 2024-10-30
008 2024 bl uuuu u00u1 u #d
022 $a0093-691X
024 7 $a10.1016/j.theriogenology.2024.10.004$2DOI
100 1 $aBARUSELLI, P. S.
245 $aThe future of beef production in South America.$h[electronic resource]
260 $c2024
500 $aArticle history: Received 1 September 2024, Revised 3 October 2024, Accepted 6 October 2024, Available online 8 October 2024, Version of Record 10 October 2024, To be published 1 January 2025. -- Corresponde: Baruselli, P.S.; Department of Animal Reproduction, University of São Paulo, São Paulo, Brazil; email:barusell@usp.br -- Funding: FAPESP (grant number 2019/14679-1), CNPq (grant number 315978/2021-0), and CAPES (grant number 001) for original research included in this review. -- Part of special issue: Anniversary SI in THE (https://www.sciencedirect.com/science/journal/0093691X/vsi/10JH4BB3RP7 ), Edited by Dr. Marc-Antoine Driancourt Astek, Boulogne Billancourt, France.
520 $aABSTRACT.- South American beef production varies due to diverse climates, environmental conditions, animal breeds (Bos indicus, Bos taurus and crossbreeds), management strategies, and nutritional sources. Applying technology in the South American beef production system can significantly enhance efficiency, sustainability, and profitability. Reproductive efficiency is a significant challenge, especially in cow-calf operation systems conducted under adverse conditions. Consequently, implementing effective assisted reproduction technologies (ART) can make a significant contribution. In the last two decades, the development of fixed-time artificial insemination (FTAI) protocols permitted the widespread application of artificial insemination for breeding management and genetic improvement in beef herds in South America. Nowadays, FTAI is being applied in South America in large-scale programs, with around 20 % of heifers and cows receiving this technology every year. This results in a greater calving rate and significant genetic gain occurring in this territory. Also, in vitro embryo production, mainly using sex-selected sperm has been widely applied in this region, leading to significant improvements in herd genetics and productivity. Recently, 94 % of all embryo transfers in South America consist of in vitro-produced embryos (41,429 being in vivo-derived and 650,782 being in vitro-produced embryos), mainly using fixed-time embryo transfer technology (FTET). Genomic selection combined with in vitro embryo production with oocytes from heifer calves provides a powerful technology platform to reduce generation interval and significantly increase the rate of genetic gain in beef cattle. Emerging biotechnologies, such as genome editing via the CRISPR/Cas system, are being developed to enhance productivity, confer resilience to adverse environmental conditions, increase disease resistance, and control pest species that affect livestock. Finally, while all these technologies offer significant potential, further progresses are needed to transform livestock production. The vast geographical scale and diverse climates of South America make regional knowledge crucial for aligning beef production with sustainability goals and supporting global food security. © 2024
653 $aCO2 equivalent emissions
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA
653 $aProductive and reproductive efficiency
653 $aProfitable beef and dairy industry
653 $aSustainability
700 1 $aABREU, L. A.
700 1 $aMENCHACA, A.
700 1 $aBÓ, G. A.
773 $tTheriogenology, 2025, Volume 231, Pages 21-28. https://doi.org/10.1016/j.theriogenology.2024.10.004
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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 : |
28/03/2016 |
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Actualizado : |
24/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
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Título : |
How do various maize crop models vary in their responses to climate change factors? |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
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DOI : |
10.1111/gcb.12520 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
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Contenido : |
Abstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. MenosAbstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2]... Presentar Todo |
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Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
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Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
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Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
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Marc : |
LEADER 03684naa a2200769 a 4500
001 1054517
005 2018-09-24
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.12520$2DOI
100 1 $aBASSU, S.
245 $aHow do various maize crop models vary in their responses to climate change factors?$h[electronic resource]
260 $c2014
500 $aArticle history: Received 7 June 2013 and accepted 2 December 2013, published 2014.
520 $aAbstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information.
650 $aCLIMA
650 $aDIOXIDO DE CARBONO
650 $aINCERTIDUMBRE
650 $aMAÍZ
650 $aMODELOS DE SIMULACIÓN
650 $aTEMPERATURA
653 $aAGMIP
653 $aCARBON DIOXIDE
653 $aCLIMATE
653 $aCO2
653 $aGRAIN YIELD
653 $aMAIZE
653 $aMODEL INTERCOMPARISON
653 $aMODELIZACIÓN DE CULTIVOS
653 $aSIMULATION MODELS
653 $aTEMPERATURE
700 1 $aBRISSON, N.
700 1 $aDURAND, J.L.
700 1 $aBOOTE, K.
700 1 $aLIZASO, J.
700 1 $aJONES, J.W.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aADAM, M.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aCONIJN, S.
700 1 $aCORBEELS, M.L
700 1 $aDERYNG, D.
700 1 $aSANTIS, G. DE
700 1 $aGAYLER, S.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.
700 1 $aHOEK, S.
700 1 $aIZAURRALDE, C.
700 1 $aJONGSCHAAP, R.
700 1 $aKEMANIAN, A.R.
700 1 $aKERSEBAUM, C.KIM, S-H.
700 1 $aKUMAR, N.
700 1 $aMAKOWSKI, D.
700 1 $aMÜLLER, C.
700 1 $aNENDEL, C.
700 1 $aPRIESACK, E.
700 1 $aPRAVIA, V.
700 1 $aSAU, F.
700 1 $aSHCHERBAK, I.
700 1 $aTAO, F.
700 1 $aTEXEIRA, E.
700 1 $aTIMLIN, D.
700 1 $aWAHA, K.
773 $tGlobal Change Biology, 2014$gv.20(7), p. 2301-2320.
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