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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
12/04/2023 |
Actualizado : |
12/04/2023 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
GUTIERREZ, F.; LATTANZI, F.; REYNO, R.; ROSSI, C.; NOLLA, F.; DO CANTO, J. |
Afiliación : |
FELIX ALBERTO GUTIERREZ ZAMIT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL ALEJANDRO REYNO PODESTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ALBERTO ROSSI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO EDUARDO NOLLA LANFRANCONI, PGG Wrightson Seeds; JAVIER DO CANTO FAGUNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Virazón: primer cultivar de raigrás perenne seleccionado en Uruguay. |
Complemento del título : |
Pasturas. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Revista INIA Uruguay, Marzo 2023, no.72, p.40-44. |
Serie : |
(Revista INIA; 72). |
ISSN : |
1510-9011 |
Idioma : |
Español |
Contenido : |
Raigrás perenne Virazón es el primer cultivar de esta especie seleccionado en Uruguay producto del convenio INIA-PGG-GIL. Se trata de una especie perenne de vida corta ideal para pasturas de tres años de duración con una alta producción, excelente sanidad y con capacidad de producir semillas en Uruguay. En este artículo se describen las características productivas de este material forrajero junto con experiencias de productores y recomendaciones de manejo. |
Palabras claves : |
ÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA; ÁREA PASTURAS Y FORRAJES - INIA; UNIDAD DE SEMILLAS Y RECURSOS FITOGENÉTICOS - INIA. |
Thesagro : |
FORRAJES; GRAMÍNEAS FORRAJERAS; LOLIUM PERENNE L; RAIGRÁS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17039/1/Revista-INIA-72-marzo-2023-12.pdf
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Marc : |
LEADER 01346naa a2200289 a 4500 001 1064012 005 2023-04-12 008 2023 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aGUTIERREZ, F. 245 $aVirazón$bprimer cultivar de raigrás perenne seleccionado en Uruguay.$h[electronic resource] 260 $c2023 490 $a(Revista INIA; 72). 520 $aRaigrás perenne Virazón es el primer cultivar de esta especie seleccionado en Uruguay producto del convenio INIA-PGG-GIL. Se trata de una especie perenne de vida corta ideal para pasturas de tres años de duración con una alta producción, excelente sanidad y con capacidad de producir semillas en Uruguay. En este artículo se describen las características productivas de este material forrajero junto con experiencias de productores y recomendaciones de manejo. 650 $aFORRAJES 650 $aGRAMÍNEAS FORRAJERAS 650 $aLOLIUM PERENNE L 650 $aRAIGRÁS 653 $aÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA 653 $aÁREA PASTURAS Y FORRAJES - INIA 653 $aUNIDAD DE SEMILLAS Y RECURSOS FITOGENÉTICOS - INIA 700 1 $aLATTANZI, F. 700 1 $aREYNO, R. 700 1 $aROSSI, C. 700 1 $aNOLLA, F. 700 1 $aDO CANTO, J. 773 $tRevista INIA Uruguay, Marzo 2023, no.72, p.40-44.
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
02/02/2022 |
Actualizado : |
02/02/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BAUDRACCO, J.; LAZZARINI, B.; ROSSLER , N.; GASTALDI, L.; JAUREGUI, J.; FARIÑA, S. |
Afiliación : |
JAVIER BAUDRACCO, IciAgro Litoral, Universidad Nacional del Litoral-CONICET, FCA. R.P. Kreder 2805, Esperanza, 3080, Argentina; BELÉN LAZZARINI, Universidad Nacional del Litoral (Facultad de Ciencias Agrarias), Argentina; NOELIA ROSSLER, Universidad Nacional del Litoral (Facultad de Ciencias Agrarias), Argentina; LAURA GASTALDI, INTA (E.E.A. Rafaela), Argentina; JOSÉ JAUREGUI, Universidad Nacional del Litoral (Facultad de Ciencias Agrarias), Argentina; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria). |
Título : |
Strategies to double milk production per farm in Argentina: Investment, economics and risk analysis. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Agricultural Systems, 2022, Volume 197, Article number 103366. doi: https://doi.org/10.1016/j.agsy.2022.103366 |
ISSN : |
0308-521X |
DOI : |
10.1016/j.agsy.2022.103366 |
Idioma : |
Inglés |
Notas : |
Article history: Received 21 July 2021; Received in revised form 8 December 2021; Accepted 13 January 2022; Available online 24 January 2022. |
Contenido : |
ABSTRACT.- Context: Demand for dairy products is expected to continue driving intensification in dairy systems. Little is known about the productive and economic performance and risk of intensification strategies either within grazing systems or confinement dairy systems in Argentina.cu Objective: This study investigated four strategies to double milk production for the average grazing dairy system of Argentina (BASE), using either grazing or confinement systems. Physical and economic performance and risk associated with each alternative was explored using a modelling approach. Investment of capital required to establish each alternative was estimated. Methods: Four scenarios that double milk production per farm from a BASE scenario were designed and modelled using a whole-farm model named e-Dairy: two grazing dairy systems with different milk yield per cow per year: GR6750 (6750 L/cow per year) and GR7500 (7500 L/cow per year) and two confinement systems, an open dry yard (DRYLOT) and a compost bedded pack (COMPOST). Stochastic budgeting was used to model the combined influence of variation in milk, price and crops yield. Outputs of the stochastic analysis are shown in the form of cumulative distribution functions (CDF). Results and conclusions: All the intensification alternatives increased milk production per ha from 7800 L, in BASE system, to 18,209 and 26,758 L in grazing and confinement systems, respectively. Intensified scenarios required an investment of capital between two and three times higher than the BASE scenario. All scenarios had positive economic results. The BASE scenario showed both the lowest farm operating profit and the lowest return on assets ($99/ha per year and 4.1%, respectively). Intensified grazing systems had the highest return on assets (above 12%), while the COMPOST system showed the highest farm operating profit ($1121/ha per year) and the lowest return on assets (7.5%) of the intensification alternatives explored. According to stochastic simulations, the COMPOST and DRYLOT scenarios would expose farmers to a greater maximum loss than BASE and grazing scenarios when negative farm operating profit occurred. However, cumulative distribution functions of profit showed that they would have higher profit than BASE and grazing scenarios along most of the CDF curve. Significance: Farmers who decide to intensify their systems will have higher profit compared with BASE scenario, but should be prepared to afford higher investment and also to cope with increased variability of profit under price or climate risk. If the switch from a BASE scenario was to be implemented at a national scale, it would impact on surplus milk that might cause significant changes beyond farm gate. Further research is required to investigate the environmental impact of intensification alternatives.
© 2022 Elsevier Ltd MenosABSTRACT.- Context: Demand for dairy products is expected to continue driving intensification in dairy systems. Little is known about the productive and economic performance and risk of intensification strategies either within grazing systems or confinement dairy systems in Argentina.cu Objective: This study investigated four strategies to double milk production for the average grazing dairy system of Argentina (BASE), using either grazing or confinement systems. Physical and economic performance and risk associated with each alternative was explored using a modelling approach. Investment of capital required to establish each alternative was estimated. Methods: Four scenarios that double milk production per farm from a BASE scenario were designed and modelled using a whole-farm model named e-Dairy: two grazing dairy systems with different milk yield per cow per year: GR6750 (6750 L/cow per year) and GR7500 (7500 L/cow per year) and two confinement systems, an open dry yard (DRYLOT) and a compost bedded pack (COMPOST). Stochastic budgeting was used to model the combined influence of variation in milk, price and crops yield. Outputs of the stochastic analysis are shown in the form of cumulative distribution functions (CDF). Results and conclusions: All the intensification alternatives increased milk production per ha from 7800 L, in BASE system, to 18,209 and 26,758 L in grazing and confinement systems, respectively. Intensified scenarios required an investment of capital betw... Presentar Todo |
Palabras claves : |
Dairy system; Intensification; Milk yield; Return on investment; Stochastic. |
Asunto categoría : |
L01 Ganadería |
Marc : |
LEADER 03853naa a2200277 a 4500 001 1062730 005 2022-02-02 008 2022 bl uuuu u00u1 u #d 022 $a0308-521X 024 7 $a10.1016/j.agsy.2022.103366$2DOI 100 1 $aBAUDRACCO, J. 245 $aStrategies to double milk production per farm in Argentina$bInvestment, economics and risk analysis.$h[electronic resource] 260 $c2022 500 $aArticle history: Received 21 July 2021; Received in revised form 8 December 2021; Accepted 13 January 2022; Available online 24 January 2022. 520 $aABSTRACT.- Context: Demand for dairy products is expected to continue driving intensification in dairy systems. Little is known about the productive and economic performance and risk of intensification strategies either within grazing systems or confinement dairy systems in Argentina.cu Objective: This study investigated four strategies to double milk production for the average grazing dairy system of Argentina (BASE), using either grazing or confinement systems. Physical and economic performance and risk associated with each alternative was explored using a modelling approach. Investment of capital required to establish each alternative was estimated. Methods: Four scenarios that double milk production per farm from a BASE scenario were designed and modelled using a whole-farm model named e-Dairy: two grazing dairy systems with different milk yield per cow per year: GR6750 (6750 L/cow per year) and GR7500 (7500 L/cow per year) and two confinement systems, an open dry yard (DRYLOT) and a compost bedded pack (COMPOST). Stochastic budgeting was used to model the combined influence of variation in milk, price and crops yield. Outputs of the stochastic analysis are shown in the form of cumulative distribution functions (CDF). Results and conclusions: All the intensification alternatives increased milk production per ha from 7800 L, in BASE system, to 18,209 and 26,758 L in grazing and confinement systems, respectively. Intensified scenarios required an investment of capital between two and three times higher than the BASE scenario. All scenarios had positive economic results. The BASE scenario showed both the lowest farm operating profit and the lowest return on assets ($99/ha per year and 4.1%, respectively). Intensified grazing systems had the highest return on assets (above 12%), while the COMPOST system showed the highest farm operating profit ($1121/ha per year) and the lowest return on assets (7.5%) of the intensification alternatives explored. According to stochastic simulations, the COMPOST and DRYLOT scenarios would expose farmers to a greater maximum loss than BASE and grazing scenarios when negative farm operating profit occurred. However, cumulative distribution functions of profit showed that they would have higher profit than BASE and grazing scenarios along most of the CDF curve. Significance: Farmers who decide to intensify their systems will have higher profit compared with BASE scenario, but should be prepared to afford higher investment and also to cope with increased variability of profit under price or climate risk. If the switch from a BASE scenario was to be implemented at a national scale, it would impact on surplus milk that might cause significant changes beyond farm gate. Further research is required to investigate the environmental impact of intensification alternatives. © 2022 Elsevier Ltd 653 $aDairy system 653 $aIntensification 653 $aMilk yield 653 $aReturn on investment 653 $aStochastic 700 1 $aLAZZARINI, B. 700 1 $aROSSLER , N. 700 1 $aGASTALDI, L. 700 1 $aJAUREGUI, J. 700 1 $aFARIÑA, S. 773 $tAgricultural Systems, 2022, Volume 197, Article number 103366. doi: https://doi.org/10.1016/j.agsy.2022.103366
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