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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
05/08/2021 |
Actualizado : |
05/08/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
STIRLING, S.; FARIÑA, S.; PACHECO, D.; VIBART, R. |
Afiliación : |
MARÍA SOFÍA STIRLING SANTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); DAVID PACHECO, Grasslands Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand.; RONALDO VIBART, Grasslands Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand. |
Título : |
Whole-farm modelling of grazing dairy systems in Uruguay. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Agricultural Systems, 2021, volume 193, article 103227. Doi: https://doi.org/10.1016/j.agsy.2021.103227 |
DOI : |
10.1016/j.agsy.2021.10322 |
Idioma : |
Inglés |
Notas : |
Article history: Received 5 January 2021; Received in revised form 7 July 2021; Accepted 9 July 2021; Available online 21 July 2021. |
Contenido : |
Abstract:
CONTEXT:Modelling grazing dairy systems from the temperate hot-summer climate region of South America is challenging due to the absence of suitable whole-farm models developed or evaluated in this region. The use of whole-farm models developed in other regions represents an opportunity. However, the accuracy and precision of their predictions need to be assessed.
OBJECTIVES:The present study evaluated the predictive ability of Farmax Dairy Pro, a whole-farm model developed in New Zealand, to simulate grazing dairy systems in Uruguay.
METHODS:Data used for the model evaluation was obtained from a dairy farmlet study carried out in Uruguay. The study aimed to explore four intensification strategies based on increasing home-grown forage utilisation and milk output per hectare. The field experiment consisted of four farmlets using two feeding strategies: [Grass Maximum (GMAX) and Grass Fixed (GFIX), based on the amount of grazed herbage in the diet], and two cow genotypes [New Zealand (NZHF) or North American Holstein-Friesian (NAHF)]. The four farmlets were modelled with Farmax for two consecutive years. Model evaluation was performed using standard regression, dimensionless and error index statistics. The model was evaluated by comparing predicted versus observed monthly patterns of milk, milk fat, milk protein and milk solids (MS; milk fat + milk protein) yields, body condition score (BCS), body weight (BW), DM intake (DMI) and net pasture growth rate (PGR). An application of the model was demonstrated by modelling three scenarios for the GMAX-NZHF farmlet.
RESULTS AND CONCLUSIONS:The predictive ability of Farmax was similar for the four farmlets modelled, including patterns over time, for all the variables evaluated. The model provided a robust prediction for monthly patterns of milk and milk components yields at a herd level for total DMI and PGR. The model had a moderate ability to predict monthly patterns of individual milk and milk components yields and BCS, and a poor ability to predict BW. The scenario modelling results indicate that the model could be used with confidence to simulate different farm system alternatives. Overall, the Farmax Dairy Pro model had the potential to provide adequate predictions for grazing dairy systems from Uruguay.
SIGNIFICANCE:This model will allow the exploration of future intensification pathways for grazing dairy systems in Uruguay and the region, including changes in the forage sequence, stocking rate and calving season. Further adjustments of the model will expand the range of systems and latitudes for this model to be utilised. MenosAbstract:
CONTEXT:Modelling grazing dairy systems from the temperate hot-summer climate region of South America is challenging due to the absence of suitable whole-farm models developed or evaluated in this region. The use of whole-farm models developed in other regions represents an opportunity. However, the accuracy and precision of their predictions need to be assessed.
OBJECTIVES:The present study evaluated the predictive ability of Farmax Dairy Pro, a whole-farm model developed in New Zealand, to simulate grazing dairy systems in Uruguay.
METHODS:Data used for the model evaluation was obtained from a dairy farmlet study carried out in Uruguay. The study aimed to explore four intensification strategies based on increasing home-grown forage utilisation and milk output per hectare. The field experiment consisted of four farmlets using two feeding strategies: [Grass Maximum (GMAX) and Grass Fixed (GFIX), based on the amount of grazed herbage in the diet], and two cow genotypes [New Zealand (NZHF) or North American Holstein-Friesian (NAHF)]. The four farmlets were modelled with Farmax for two consecutive years. Model evaluation was performed using standard regression, dimensionless and error index statistics. The model was evaluated by comparing predicted versus observed monthly patterns of milk, milk fat, milk protein and milk solids (MS; milk fat + milk protein) yields, body condition score (BCS), body weight (BW), DM intake (DMI) and net pasture growth rate (PGR). An appl... Presentar Todo |
Palabras claves : |
Dairy system; Model evaluation; SISTEMAS LECHEROS; Temperate region; Whole-farm model. |
Asunto categoría : |
L01 Ganadería |
Marc : |
LEADER 03472naa a2200241 a 4500 001 1062334 005 2021-08-05 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1016/j.agsy.2021.10322$2DOI 100 1 $aSTIRLING, S. 245 $aWhole-farm modelling of grazing dairy systems in Uruguay.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 5 January 2021; Received in revised form 7 July 2021; Accepted 9 July 2021; Available online 21 July 2021. 520 $aAbstract: CONTEXT:Modelling grazing dairy systems from the temperate hot-summer climate region of South America is challenging due to the absence of suitable whole-farm models developed or evaluated in this region. The use of whole-farm models developed in other regions represents an opportunity. However, the accuracy and precision of their predictions need to be assessed. OBJECTIVES:The present study evaluated the predictive ability of Farmax Dairy Pro, a whole-farm model developed in New Zealand, to simulate grazing dairy systems in Uruguay. METHODS:Data used for the model evaluation was obtained from a dairy farmlet study carried out in Uruguay. The study aimed to explore four intensification strategies based on increasing home-grown forage utilisation and milk output per hectare. The field experiment consisted of four farmlets using two feeding strategies: [Grass Maximum (GMAX) and Grass Fixed (GFIX), based on the amount of grazed herbage in the diet], and two cow genotypes [New Zealand (NZHF) or North American Holstein-Friesian (NAHF)]. The four farmlets were modelled with Farmax for two consecutive years. Model evaluation was performed using standard regression, dimensionless and error index statistics. The model was evaluated by comparing predicted versus observed monthly patterns of milk, milk fat, milk protein and milk solids (MS; milk fat + milk protein) yields, body condition score (BCS), body weight (BW), DM intake (DMI) and net pasture growth rate (PGR). An application of the model was demonstrated by modelling three scenarios for the GMAX-NZHF farmlet. RESULTS AND CONCLUSIONS:The predictive ability of Farmax was similar for the four farmlets modelled, including patterns over time, for all the variables evaluated. The model provided a robust prediction for monthly patterns of milk and milk components yields at a herd level for total DMI and PGR. The model had a moderate ability to predict monthly patterns of individual milk and milk components yields and BCS, and a poor ability to predict BW. The scenario modelling results indicate that the model could be used with confidence to simulate different farm system alternatives. Overall, the Farmax Dairy Pro model had the potential to provide adequate predictions for grazing dairy systems from Uruguay. SIGNIFICANCE:This model will allow the exploration of future intensification pathways for grazing dairy systems in Uruguay and the region, including changes in the forage sequence, stocking rate and calving season. Further adjustments of the model will expand the range of systems and latitudes for this model to be utilised. 653 $aDairy system 653 $aModel evaluation 653 $aSISTEMAS LECHEROS 653 $aTemperate region 653 $aWhole-farm model 700 1 $aFARIÑA, S. 700 1 $aPACHECO, D. 700 1 $aVIBART, R. 773 $tAgricultural Systems, 2021, volume 193, article 103227. Doi: https://doi.org/10.1016/j.agsy.2021.103227
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INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
04/04/2024 |
Actualizado : |
04/04/2024 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
CAFFARENA, D.; BARAIBAR, N.; CANTÓN, G.; SILVEIRA, C.S.; GIANNITTI, F.; SOSA, E. |
Afiliación : |
RUBEN DARÍO CAFFARENA LEDESMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Unidad Académica Salud de los Rumiantes, Facultad de Veterinaria - Udelar, Uruguay; NICOLÁS BARAIBAR PEDERSEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERMÁN CANTÓN, Instituto de Innovación para la Producción Agropecuaria y el Desarrollos Sostenible (IPADS) - INTA/CONICET, Argentina; CAROLINE DA SILVA SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMILIANO SOSA, Instituto de Innovación para la Producción Agropecuaria y el Desarrollos Sostenible (IPADS) - INTA/CONICET, Argentina. |
Título : |
Gases tóxicos en silos de maíz de planta entera: efecto sobre la salud y producción en vacas lecheras. |
Complemento del título : |
Producción animal. |
Fecha de publicación : |
2024 |
Fuente / Imprenta : |
Revista INIA Uruguay, Marzo 2024, no.76, p.11-14. |
Serie : |
(Revista INIA; 76). |
ISSN : |
1510-9011 |
Idioma : |
Español |
Contenido : |
Este artículo busca concientizar a productores y técnicos sobre los riesgos de la exposición a gases neumotóxicos por parte de animales y personas, los efectos que ocasionan, y la implementación de medidas preventivas orientadas a mitigar y/o evitar sus efectos nocivos. |
Palabras claves : |
Cuencas lecheras; Gases neumotóxicos; Intoxicaciones; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA; Silos de maíz. |
Thesagro : |
LECHERÍA. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17531/1/Revista-INIA-76-Marzo-2024-4.pdf
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Marc : |
LEADER 01106naa a2200277 a 4500 001 1064514 005 2024-04-04 008 2024 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aCAFFARENA, D. 245 $aGases tóxicos en silos de maíz de planta entera$befecto sobre la salud y producción en vacas lecheras.$h[electronic resource] 260 $c2024 490 $a(Revista INIA; 76). 520 $aEste artículo busca concientizar a productores y técnicos sobre los riesgos de la exposición a gases neumotóxicos por parte de animales y personas, los efectos que ocasionan, y la implementación de medidas preventivas orientadas a mitigar y/o evitar sus efectos nocivos. 650 $aLECHERÍA 653 $aCuencas lecheras 653 $aGases neumotóxicos 653 $aIntoxicaciones 653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL - INIA 653 $aSilos de maíz 700 1 $aBARAIBAR, N. 700 1 $aCANTÓN, G. 700 1 $aSILVEIRA, C.S. 700 1 $aGIANNITTI, F. 700 1 $aSOSA, E. 773 $tRevista INIA Uruguay, Marzo 2024, no.76, p.11-14.
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