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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
05/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
CAVESTANY, D.; MEIKLE, A.; KINDAHL, H.; VAN LIER, E.; MOREIRA, F.; THATCHER, W.W.; FORSBERG, M. |
Afiliación : |
DANIEL CAVESTANY BOCKING, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. MEIKLE, Facultad de Veterinaria, Montevideo, Uruguay; H. KINDAHL, Dept. of Obstetrics and Gynaecology, Faculty of Veterinary Medicine, SLU, Uppsala, Sweden; E. VAN LIER, Facultad de Agronomía, Montevideo, Uruguay; F. MOREIRA, DPS, University of Florida, Gainesville, FL, United States; W. W. THATCHER, DPS, University of Florida, Gainesville, FL, United States; M. FORSBERG, Department of Clinical Chemistry, Faculty of Veterinary Medicine, SLU, Uppsala, Sweden. |
Título : |
Use of medroxyprogesterone acetate (MAP) in lactating Holstein cows within an Ovsynch protocol: follicular growth and hormonal patterns. |
Fecha de publicación : |
2003 |
Fuente / Imprenta : |
Theriogenology, 15 April 2003, Volume 59, Issue 8, Pages 1787-1798. Doi: https://doi.org/10.1016/S0093-691X(02)01230-X |
ISSN : |
0093-691X |
DOI : |
10.1016/S0093-691X(02)01230-X |
Idioma : |
Inglés |
Notas : |
Article history: Received 21 February 2002 / Accepted 27 August 2002 / Available online 19 November 2002.
Funding information: The present study was partially financed by a grant (URU/5/023) from the International Atomic Energy Agency (IAEA). The authors are grateful to Dr. J.F. Roser for the donation of the bovine monoclonal antibody and to the NIDDK?s National Hormone Peptide Program and Dr. A.F. Parlow for the donation of the ovine LH used as standard in the LH assay, to Dra. Stella Lanzzeri for the conditioning of the milk samples for P4 RIA and to Mr. Ignacio Torres for helping in the handling of animals during the fieldwork.
Corresponding author: Daniel Cavestany - email:cavestan@inia.org.uy |
Contenido : |
ABSTRACT.
To evaluate the effects of incorporating medroxyprogesterone acetate (MAP) in an Ovsynch protocol, cyclic lactating dairy cows were assigned randomly to two groups (control and MAP, n = 8 each). Ovsynch treatment (Day 0: GnRH, Day 7: PG, Day 9: GnRH) was initiated at random stages of the estrous cycle (control) and an intravaginal polyurethane sponge impregnated with 300 mg of MAP was inserted intravaginally in the MAP group at Day 0 and removed at Day 7 of the Ovsynch protocol (MAP treatment). Ovaries were scanned daily from Day 0 until the second GnRH treatment on Day 9 and from then every 6 h for 36 h. Milk samples were collected three times weekly starting 17 days before the initiation of treatment to determine the stage of the cycle at the beginning of the Ovsynch protocol. Blood samples were collected to monitor estradiol (E2), progesterone (P4), LH, and 15-ketodihydro-PGF2α (PGFM) by RIA. Response to the first GnRH treatment varied with the stage of the cycle at the time of initiation of treatment, as cows in metestrous and late diestrous did not ovulate. In cows ovulating, growth rate of the new follicle was not affected by the addition of MAP. No treatment differences were found in E2 concentrations which reached a maximum at Day 9, consistent with the maximum follicular size. At Day 7, cows with luteal concentrations of P4 had increased concentrations of PGFM, but cows with basal P4 did not show an active release of prostaglandins. There were no treatment differences in the ovulatory response to the second GnRH-induced ovulation, with 11 of the 16 cows ovulating between 16 and 32 h. The addition of MAP to the Ovsynch protocol could not mimic the normal high progesterone levels needed to prevent premature ovulations in those cows with premature CL regression.
© 2002 Elsevier Science Inc. All rights reserved. MenosABSTRACT.
To evaluate the effects of incorporating medroxyprogesterone acetate (MAP) in an Ovsynch protocol, cyclic lactating dairy cows were assigned randomly to two groups (control and MAP, n = 8 each). Ovsynch treatment (Day 0: GnRH, Day 7: PG, Day 9: GnRH) was initiated at random stages of the estrous cycle (control) and an intravaginal polyurethane sponge impregnated with 300 mg of MAP was inserted intravaginally in the MAP group at Day 0 and removed at Day 7 of the Ovsynch protocol (MAP treatment). Ovaries were scanned daily from Day 0 until the second GnRH treatment on Day 9 and from then every 6 h for 36 h. Milk samples were collected three times weekly starting 17 days before the initiation of treatment to determine the stage of the cycle at the beginning of the Ovsynch protocol. Blood samples were collected to monitor estradiol (E2), progesterone (P4), LH, and 15-ketodihydro-PGF2α (PGFM) by RIA. Response to the first GnRH treatment varied with the stage of the cycle at the time of initiation of treatment, as cows in metestrous and late diestrous did not ovulate. In cows ovulating, growth rate of the new follicle was not affected by the addition of MAP. No treatment differences were found in E2 concentrations which reached a maximum at Day 9, consistent with the maximum follicular size. At Day 7, cows with luteal concentrations of P4 had increased concentrations of PGFM, but cows with basal P4 did not show an active release of prostaglandins. There were no trea... Presentar Todo |
Palabras claves : |
Estrous synchronization; GnRH; Medroxyprogesterone acetate; Prostaglandin; Reproduction. |
Asunto categoría : |
L01 Ganadería |
Marc : |
LEADER 03502naa a2200289 a 4500 001 1012826 005 2020-02-05 008 2003 bl uuuu u00u1 u #d 022 $a0093-691X 024 7 $a10.1016/S0093-691X(02)01230-X$2DOI 100 1 $aCAVESTANY, D. 245 $aUse of medroxyprogesterone acetate (MAP) in lactating Holstein cows within an Ovsynch protocol$bfollicular growth and hormonal patterns.$h[electronic resource] 260 $c2003 500 $aArticle history: Received 21 February 2002 / Accepted 27 August 2002 / Available online 19 November 2002. Funding information: The present study was partially financed by a grant (URU/5/023) from the International Atomic Energy Agency (IAEA). The authors are grateful to Dr. J.F. Roser for the donation of the bovine monoclonal antibody and to the NIDDK?s National Hormone Peptide Program and Dr. A.F. Parlow for the donation of the ovine LH used as standard in the LH assay, to Dra. Stella Lanzzeri for the conditioning of the milk samples for P4 RIA and to Mr. Ignacio Torres for helping in the handling of animals during the fieldwork. Corresponding author: Daniel Cavestany - email:cavestan@inia.org.uy 520 $aABSTRACT. To evaluate the effects of incorporating medroxyprogesterone acetate (MAP) in an Ovsynch protocol, cyclic lactating dairy cows were assigned randomly to two groups (control and MAP, n = 8 each). Ovsynch treatment (Day 0: GnRH, Day 7: PG, Day 9: GnRH) was initiated at random stages of the estrous cycle (control) and an intravaginal polyurethane sponge impregnated with 300 mg of MAP was inserted intravaginally in the MAP group at Day 0 and removed at Day 7 of the Ovsynch protocol (MAP treatment). Ovaries were scanned daily from Day 0 until the second GnRH treatment on Day 9 and from then every 6 h for 36 h. Milk samples were collected three times weekly starting 17 days before the initiation of treatment to determine the stage of the cycle at the beginning of the Ovsynch protocol. Blood samples were collected to monitor estradiol (E2), progesterone (P4), LH, and 15-ketodihydro-PGF2α (PGFM) by RIA. Response to the first GnRH treatment varied with the stage of the cycle at the time of initiation of treatment, as cows in metestrous and late diestrous did not ovulate. In cows ovulating, growth rate of the new follicle was not affected by the addition of MAP. No treatment differences were found in E2 concentrations which reached a maximum at Day 9, consistent with the maximum follicular size. At Day 7, cows with luteal concentrations of P4 had increased concentrations of PGFM, but cows with basal P4 did not show an active release of prostaglandins. There were no treatment differences in the ovulatory response to the second GnRH-induced ovulation, with 11 of the 16 cows ovulating between 16 and 32 h. The addition of MAP to the Ovsynch protocol could not mimic the normal high progesterone levels needed to prevent premature ovulations in those cows with premature CL regression. © 2002 Elsevier Science Inc. All rights reserved. 653 $aEstrous synchronization 653 $aGnRH 653 $aMedroxyprogesterone acetate 653 $aProstaglandin 653 $aReproduction 700 1 $aMEIKLE, A. 700 1 $aKINDAHL, H. 700 1 $aVAN LIER, E. 700 1 $aMOREIRA, F. 700 1 $aTHATCHER, W.W. 700 1 $aFORSBERG, M. 773 $tTheriogenology, 15 April 2003, Volume 59, Issue 8, Pages 1787-1798. Doi: https://doi.org/10.1016/S0093-691X(02)01230-X
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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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