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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
10/01/2023 |
Actualizado : |
10/01/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
GUARIN, J. R.; MARTRE, P; EWERT, F.; WEBBER, H.; DUERI, S.; CALDERINI, D.; REYNOLDS, M.; MOLERO, G.; MIRALLES, D.; GARCIA, G.; SLAFER, G.; GIUNTA, F.; PEQUENO, D. N. L.; STELLA, T.; AHMED, M.; ALDERMAN, P. D.; BASSO, B.; BERGER, A.; BINDI, M.; BRACHO-MUJICA, G.; CAMMARANO, D.; CHEN, Y.; DUMONT, B.; REZAEI, E. E.; FERERES, E.; FERRISE, R.; GAISER, T.; GAO, Y.; GARCIA-VILA, M.; GAYLER, S.; HOCHMAN, Z.; HOOGENBOOM, G.; HUNT, L. A.; KERSEBAUM, K. C.; NENDEL, C.; OLESEN, J. E.; PALOSUO, T.; PRIESACK, E.; PULLENS, J. W. M.; RODRÍGUEZ, A.; RÖTTER, R. P.; RUIZ RAMOS, M.; SEMENOV, M. A.; SENAPATI, N.; SIEBERT, S.; SRIVASTAVA, A. M.; STÖCKLE, C.; SUPIT, I.; TAO, F.; THORBURN, P.; WANG, E.; WEBER, T. K. D.; XIAO, L.; ZHANG, Z.; ZHAO, C.; ZHAO, J.; ZHAO, Z.; ZHU, Y.; ASSENG, S. |
Afiliación : |
JOSE RAFAEL GUARIN, Agricultural & Biological Engineering Dpt., Univ. of Florida, FL, USA; Center for Climate Systems Research, Columbia Univ., NY, USA; NASA Goddard Institute for Space Studies, NY, USA.; PIERRE MARTRE, LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro, Montpellier, France; FRANK EWERT, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; HEIDI WEBBER, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; SIBYLLE DUERI, LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier SupAgro, Montpellier, France; DANIEL CALDERINI, Institute of Plant Production and Protection, Austral University of Chile, Valdivia, Chile; MATTHEW REYNOLDS, International Maize and Wheat Improvement Center (CIMMYT), Mexico DF, Mexico; GEMMA MOLERO, KWS, Lille, France; DANIEL MIRALLES, Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina; GUILLERMO GARCIA, Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina; GUSTAVO SLAFER, Department of Crop and Forest Sciences, University of Lleida—AGROTECNIO-CERCA Center, Lleida, Spain; and ICREA, Catalonian Institution for Research and Advanced Studies, Barcelona, Spain; FRANCESCO GIUNTA, Department of Agricultural Sciences, University of Sassari, Sassari, Ital; DIEGO N L PEQUENO, International Maize and Wheat Improvement Center (CIMMYT), Mexico DF, Mexico; TOMMASO STELLA, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; MUKHTAR AHMED, Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan; Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, Umeå, Sweden; PHILLIP D ALDERMAN, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States of America; BRUNO BASSO, Department of Earth and Environmental Sciences, Michigan State University, East Lansing, MI, United States of America; W.K. Kellogg Biological Station, Michigan State University, East Lansing, MI, United States of America; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCO BINDI, Department of AGRIculture, food, environment and forestry (DAGRI), Department of Agri-food Production and Environmental Sciences (DISPAA), University of Florence, Florence, Italy; GENNADY BRACHO-MUJICA, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany; DAVIDE CAMMARANO, Department of Agronomy, Purdue University, West Lafayette, IN, United States of America; YI CHEN, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, People’s Republic of China; BENJAMIN DUMONT, Department Terra & AgroBioChem, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium; EHSAN EYSHI REZAEI, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; ELIAS FERERES, IAS-CSIC DAUCO, University of Cordoba, Cordoba, Spain; ROBERTO FERRISE, Department of AGRIculture, food, environment and forestry (DAGRI), Department of Agri-food Production and Environmental Sciences (DISPAA), University of Florence, Florence, Italy; THOMAS GAISER, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; YUJING GAO, Agricultural & Biological Engineering Department, University of Florida, Gainesville, FL, United States of America; MARGARITA GARCIA-VILA, IAS-CSIC DAUCO, University of Cordoba, Cordoba, Spain; SEBASTIAN GAYLER, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany; ZVI HOCHMAN, CSIRO Agriculture and Food, Brisbane, Queensland, Australia; GERRIT HOOGENBOOM, Agricultural & Biological Engineering Department, University of Florida, Gainesville, FL, United States of America; Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, United States of America; LESLIE A HUNT, Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada; KURT C KERSEBAUM, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Univ. of Göttingen, Göttingen, Germany; Global Change Research Institute Academy of Sciences of the Czech Rep; CLAAS NENDEL, Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany; Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Univ. of Göttingen, Göttingen, Germany; Global Change Research Institute Academy of Sciences of the Czech Repu; JØRGEN E OLESEN, Department of Agroecology, Aarhus University, Tjele, Denmark; TARU PALOSUO, Natural Resources Institute Finland (Luke), Helsinki, Finland; ECKART PRIESACK, Institute of Biochemical Plant Pathology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; JOHANNES W M PULLENS, Department of Agroecology, Aarhus University, Tjele, Denmark; ALFREDO RODRÍGUEZ, CEIGRAM, Technic University of Madrid, Madrid, Spain; Department of Economic Analysis and Finances, University of Castilla-La Mancha, Toledo, Spain; REIMUND P RÖTTER, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany; Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Göttingen, Germany; MARGARITA RUIZ RAMOS, CEIGRAM, Technic University of Madrid, Madrid, Spain; MIKHAIL A SEMENOV, Rothamsted Research, Harpenden AL5 2JQ, United Kingdom; NIMAI SENAPATI, Rothamsted Research, Harpenden AL5 2JQ, United Kingdom; STEFAN SIEBERT, Department of Crop Sciences, University of Göttingen, Göttingen, Germany; AMIT KUMAR SRIVASTAVA, Institute of Crop Science and Resource Conservation INRES, University of Bonn, Bonn, Germany; CLAUDIO STÖCKLE, Biological Systems Engineering, Washington State University, Pullman, WA, United States of America; IWAN SUPIT, Water & Food and Water Systems & Global Change Group, Wageningen University, Wageningen, The Netherlands; FULU TAO, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, People’s Republic of China; Natural Resources Institute Finland (Luke), Helsinki, Finland; PETER THORBURN, CSIRO Agriculture and Food, Brisbane, Queensland, Australia; ENLI WANG, CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia; TOBIAS KARL DAVID WEBER, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany; Current affiliation: Department of Soil Science, Faculty of Organic Soil Sciences, University of Kassel, Kassel, Germany; LIUJUN XIAO, College of Environmental and Resource Sciences, Zhejiang Univ., Hangzhou, Zhejiang, China; National Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiang; ZHAO ZHANG, State Key Laboratory for Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, People’s Republic of China; CHUANG ZHAO, College of Resources and Environmental Sciences, China Agricultural University, Beijing, People’s Republic of China; JIN ZHAO, College of Resources and Environmental Sciences, China Agricultural University, Beijing, People’s Republic of China; Department of Agroecology, Aarhus University, Tjele, Denmark; ZHIGAN ZHAO, CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia; Department of Agronomy and Biotechnology, China Agricultural University, Beijing, People’s Republic of China; YAN ZHU, National Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for M; SENTHOLD ASSENG, 8 Department of Life Science Engineering, Digital Agriculture, Technical University of Munich, Freising, Germany. |
Título : |
Evidence for increasing global wheat yield potential. [Letter]. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Environmental Research Letters, 12 December 2022, Volume 17, 124045. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/aca77c |
ISSN : |
1748-9326 |
DOI : |
10.1088/1748-9326/aca77c |
Idioma : |
Inglés |
Notas : |
Article history: Received 13 June 2022; Accepted 30 November 2022; Published 12 December 2022. -- Corresponding author: Jose Rafael Guarin, E-mail: j.guarin@columbia.edu -- LICENSE: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/ ) -- Supplementary material for this article is available online (http://doi.org/10.1088/1748-9326/aca77c ) -- |
Contenido : |
Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges.
© 2022 The Author(s). Published by IOP Publishing Ltd |
Palabras claves : |
Crop model ensemble; Global food security; Radiation use efficiency; Wheat potential yield; Yield increase. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/aca77c/pdf
|
Marc : |
LEADER 03876naa a2200913 a 4500 001 1063941 005 2023-01-10 008 2022 bl uuuu u00u1 u #d 022 $a1748-9326 024 7 $a10.1088/1748-9326/aca77c$2DOI 100 1 $aGUARIN, J. R. 245 $aEvidence for increasing global wheat yield potential. [Letter].$h[electronic resource] 260 $c2022 500 $aArticle history: Received 13 June 2022; Accepted 30 November 2022; Published 12 December 2022. -- Corresponding author: Jose Rafael Guarin, E-mail: j.guarin@columbia.edu -- LICENSE: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/ ) -- Supplementary material for this article is available online (http://doi.org/10.1088/1748-9326/aca77c ) -- 520 $aWheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production. The DH field experiments were also used to determine a quantitative relationship between wheat production and solar radiation to estimate genetic yield potential. The multi-model ensemble projected a global annual wheat production of 1050 ± 145 Mt due to the improved canopy photosynthesis, a 37% increase, without expanding cropping area. Achieving this genetic yield potential would meet the lower estimate of the projected grain demand in 2050, albeit with considerable challenges. © 2022 The Author(s). Published by IOP Publishing Ltd 653 $aCrop model ensemble 653 $aGlobal food security 653 $aRadiation use efficiency 653 $aWheat potential yield 653 $aYield increase 700 1 $aMARTRE, P 700 1 $aEWERT, F. 700 1 $aWEBBER, H. 700 1 $aDUERI, S. 700 1 $aCALDERINI, D. 700 1 $aREYNOLDS, M. 700 1 $aMOLERO, G. 700 1 $aMIRALLES, D. 700 1 $aGARCIA, G. 700 1 $aSLAFER, G. 700 1 $aGIUNTA, F. 700 1 $aPEQUENO, D. N. L. 700 1 $aSTELLA, T. 700 1 $aAHMED, M. 700 1 $aALDERMAN, P. D. 700 1 $aBASSO, B. 700 1 $aBERGER, A. 700 1 $aBINDI, M. 700 1 $aBRACHO-MUJICA, G. 700 1 $aCAMMARANO, D. 700 1 $aCHEN, Y. 700 1 $aDUMONT, B. 700 1 $aREZAEI, E. E. 700 1 $aFERERES, E. 700 1 $aFERRISE, R. 700 1 $aGAISER, T. 700 1 $aGAO, Y. 700 1 $aGARCIA-VILA, M. 700 1 $aGAYLER, S. 700 1 $aHOCHMAN, Z. 700 1 $aHOOGENBOOM, G. 700 1 $aHUNT, L. A. 700 1 $aKERSEBAUM, K. C. 700 1 $aNENDEL, C. 700 1 $aOLESEN, J. E. 700 1 $aPALOSUO, T. 700 1 $aPRIESACK, E. 700 1 $aPULLENS, J. W. M. 700 1 $aRODRÍGUEZ, A. 700 1 $aRÖTTER, R. P. 700 1 $aRUIZ RAMOS, M. 700 1 $aSEMENOV, M. A. 700 1 $aSENAPATI, N. 700 1 $aSIEBERT, S. 700 1 $aSRIVASTAVA, A. M. 700 1 $aSTÖCKLE, C. 700 1 $aSUPIT, I. 700 1 $aTAO, F. 700 1 $aTHORBURN, P. 700 1 $aWANG, E. 700 1 $aWEBER, T. K. D. 700 1 $aXIAO, L. 700 1 $aZHANG, Z. 700 1 $aZHAO, C. 700 1 $aZHAO, J. 700 1 $aZHAO, Z. 700 1 $aZHU, Y. 700 1 $aASSENG, S. 773 $tEnvironmental Research Letters, 12 December 2022, Volume 17, 124045. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/aca77c
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
Fecha actual : |
17/09/2015 |
Actualizado : |
11/08/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
QUINTANS, G.; SCARSI, A.; ROIG, G.; CARRIQUIRY, M.; BANCHERO, G. |
Afiliación : |
GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA ANTONIA SCARSI PERALTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROIG FERRIOLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Influence of a short-term prepartum supplementation of beef cows and calves performance in pastoral conditions. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
Animal Production Science, v. 56, no. 11, p. 1913-1919, 2016. |
ISSN : |
1836-5787. |
DOI : |
10.1071/AN15082 |
Idioma : |
Inglés |
Notas : |
Article history: Received 11 February 2015, accepted 11 June 2015, published online 15 September 2015. |
Contenido : |
Abstract.
Multiparous Aberdeen Angus · Hereford crossbred cows were used to evaluate the effect of supplementation during the last month of gestation on milk production and composition and cow and calf performance. Cows were assigned randomly to supplement (SUP; n = 18) or Control (CON; n = 17) treatments. Supplemented cows were offered (1 kg/100 kg bodyweight) a mix of sorghum grain and protein concentrated (67 : 33 as-fed basis; 16% crude protein, 11% acid detergent fibre) from (mean s.e.m.) 33 1.4 days prepartum until calving. Before, during, and after the supplementation period, cows grazed together a native pasture paddock with average forage mass available of 1345 kg/ha of dry matter (10.4% crude protein, 45.2% acid detergent fibre). Cows were blood sampled weekly from ?42 to 112 days postpartum (DPP) for serum progesterone and non-esterified fatty acids (NEFA) concentrations. Maximum follicle diameter was measured by ovarian ultrasound examination at 60 DPP. The breeding period lasted 60 days and started at 601.4 DPP. There was an interaction between treatment and time on BCS (P < 0.0005). Before calving there were no differences in BCS between cows in SUP and in CON, but at calving SUP cows tended (P = 0.10) to present greater BCS and from calving to 84 DPP BCS was greater
(P < 0.05) in SUP with respect to CON cows. There was an interaction between treatment and time on plasma NEFA concentrations (P < 0.0005). During the last month of gestation NEFA concentrations were reduced in SUP cows but there were no differences between treatments during the postpartum period. Milk production decreased linearly from 30 to 150 DPP but there was no effect of treatment on it. Calf bodyweight at birth and at weaning did not differ between treatments (37.5 2.4 and 175.6 2.4 kg, respectively). The probability of cows presenting follicles with diameter 10 mm was greater (P < 0.05) in SUP than CON cows. The length of the postpartum period did not differ between treatments. The probability of cows cycling during the first 90 DPP and pregnancy rate tended (P = 0.08) to be greater in SUP than in CON cows. Supplementation in winter and for only 30 days in the last month of gestation of beef cows under grazing conditions, increased cows? BCS without increasing BW of calves, and tended to improve reproductive performance. MenosAbstract.
Multiparous Aberdeen Angus · Hereford crossbred cows were used to evaluate the effect of supplementation during the last month of gestation on milk production and composition and cow and calf performance. Cows were assigned randomly to supplement (SUP; n = 18) or Control (CON; n = 17) treatments. Supplemented cows were offered (1 kg/100 kg bodyweight) a mix of sorghum grain and protein concentrated (67 : 33 as-fed basis; 16% crude protein, 11% acid detergent fibre) from (mean s.e.m.) 33 1.4 days prepartum until calving. Before, during, and after the supplementation period, cows grazed together a native pasture paddock with average forage mass available of 1345 kg/ha of dry matter (10.4% crude protein, 45.2% acid detergent fibre). Cows were blood sampled weekly from ?42 to 112 days postpartum (DPP) for serum progesterone and non-esterified fatty acids (NEFA) concentrations. Maximum follicle diameter was measured by ovarian ultrasound examination at 60 DPP. The breeding period lasted 60 days and started at 601.4 DPP. There was an interaction between treatment and time on BCS (P < 0.0005). Before calving there were no differences in BCS between cows in SUP and in CON, but at calving SUP cows tended (P = 0.10) to present greater BCS and from calving to 84 DPP BCS was greater
(P < 0.05) in SUP with respect to CON cows. There was an interaction between treatment and time on plasma NEFA concentrations (P < 0.0005). During the last month of gestation NEFA concentrations... Presentar Todo |
Palabras claves : |
ÁCIDOS GRASOS NO ESTERIFICADOS EN SANGRE; COMPOSICIÓN DE LA LECHE; CONDICIÓN CORPORAL AL PARTO; CONDICIÓN CORPORAL PREPARTO; DESEMPEÑO REPRODUCTIVO EN VACAS; MILK; NEFA; NUTRITION; PESO DEL TERNERO AL NACER; PRODUCCIÓN DE LECHE; REPRODUCTION; SUPLEMENTACIÓN PREPARTO; VACAS DE CRÍA. |
Thesagro : |
CAMPO NATURAL; GANADO DE CARNE; LECHE; NUTRICION; PREPARTO; REPRODUCCIÓN; SUPLEMENTACION; TERNERAS; VACAS. |
Asunto categoría : |
L02 Alimentación animal L51 Fisiología Animal - Nutrición |
Marc : |
LEADER 03794naa a2200469 a 4500 001 1054011 005 2020-08-11 008 2016 bl uuuu u00u1 u #d 022 $a1836-5787. 024 7 $a10.1071/AN15082$2DOI 100 1 $aQUINTANS, G. 245 $aInfluence of a short-term prepartum supplementation of beef cows and calves performance in pastoral conditions.$h[electronic resource] 260 $c2016 500 $aArticle history: Received 11 February 2015, accepted 11 June 2015, published online 15 September 2015. 520 $aAbstract. Multiparous Aberdeen Angus · Hereford crossbred cows were used to evaluate the effect of supplementation during the last month of gestation on milk production and composition and cow and calf performance. Cows were assigned randomly to supplement (SUP; n = 18) or Control (CON; n = 17) treatments. Supplemented cows were offered (1 kg/100 kg bodyweight) a mix of sorghum grain and protein concentrated (67 : 33 as-fed basis; 16% crude protein, 11% acid detergent fibre) from (mean s.e.m.) 33 1.4 days prepartum until calving. Before, during, and after the supplementation period, cows grazed together a native pasture paddock with average forage mass available of 1345 kg/ha of dry matter (10.4% crude protein, 45.2% acid detergent fibre). Cows were blood sampled weekly from ?42 to 112 days postpartum (DPP) for serum progesterone and non-esterified fatty acids (NEFA) concentrations. Maximum follicle diameter was measured by ovarian ultrasound examination at 60 DPP. The breeding period lasted 60 days and started at 601.4 DPP. There was an interaction between treatment and time on BCS (P < 0.0005). Before calving there were no differences in BCS between cows in SUP and in CON, but at calving SUP cows tended (P = 0.10) to present greater BCS and from calving to 84 DPP BCS was greater (P < 0.05) in SUP with respect to CON cows. There was an interaction between treatment and time on plasma NEFA concentrations (P < 0.0005). During the last month of gestation NEFA concentrations were reduced in SUP cows but there were no differences between treatments during the postpartum period. Milk production decreased linearly from 30 to 150 DPP but there was no effect of treatment on it. Calf bodyweight at birth and at weaning did not differ between treatments (37.5 2.4 and 175.6 2.4 kg, respectively). The probability of cows presenting follicles with diameter 10 mm was greater (P < 0.05) in SUP than CON cows. The length of the postpartum period did not differ between treatments. The probability of cows cycling during the first 90 DPP and pregnancy rate tended (P = 0.08) to be greater in SUP than in CON cows. Supplementation in winter and for only 30 days in the last month of gestation of beef cows under grazing conditions, increased cows? BCS without increasing BW of calves, and tended to improve reproductive performance. 650 $aCAMPO NATURAL 650 $aGANADO DE CARNE 650 $aLECHE 650 $aNUTRICION 650 $aPREPARTO 650 $aREPRODUCCIÓN 650 $aSUPLEMENTACION 650 $aTERNERAS 650 $aVACAS 653 $aÁCIDOS GRASOS NO ESTERIFICADOS EN SANGRE 653 $aCOMPOSICIÓN DE LA LECHE 653 $aCONDICIÓN CORPORAL AL PARTO 653 $aCONDICIÓN CORPORAL PREPARTO 653 $aDESEMPEÑO REPRODUCTIVO EN VACAS 653 $aMILK 653 $aNEFA 653 $aNUTRITION 653 $aPESO DEL TERNERO AL NACER 653 $aPRODUCCIÓN DE LECHE 653 $aREPRODUCTION 653 $aSUPLEMENTACIÓN PREPARTO 653 $aVACAS DE CRÍA 700 1 $aSCARSI, A. 700 1 $aROIG, G. 700 1 $aCARRIQUIRY, M. 700 1 $aBANCHERO, G. 773 $tAnimal Production Science$gv. 56, no. 11, p. 1913-1919, 2016.
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