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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
18/01/2022 |
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Actualizado : |
18/01/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RIZZO, G.; MAZZILLI, S.R.; ERNST, O.; BAETHGENI, W.E.; BERGER, A. |
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Afiliación : |
GONZALO RIZZO, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; SEBASTIAN R. MAZZILLI, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; OSWALDO ERNST, Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; WALTER E. BAETHGEN, International Research Institute for Climate and Society (IRI), Columbia University, 61 Route 9W, Palisades 9, 10964, NY, United States; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agricultural Systems, 2022, volume 19, Article number 103331. doi: https://doi.org/10.1016/j.agsy.2021.103331 |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2021.103331 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 8 September 2021; Received in revised form 16 November 2021; Accepted 17 November 2021; Available online 25 November 2021.
Editor: Guillaume Martin.
Corresponding author: Rizzo, G.; Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; email:grizzo2@huskers.unl.edu --
This project was partially funded on a fellowship from the Instituto Nacional de Investigaci?n Agropecuaria de Uruguay (INIA) granted to the senior author, and by the INIA project #INIA_CS_48_0_00. Authors wish to thank Deborah Gasso and Cristina Capurro (INIA) for providing access to their field experiment data to evaluate crop model performance. We also acknowledge Mariana Hill, Carlos Clerici, and Martin Dell'Aqua (Ministry of Livestock, Agriculture, and Fisheries of Uruguay) for providing soil and cropping sequence data. We are grateful to FUCREA for providing access to the farmers' database. |
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Contenido : |
ABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the total predictions developed for this scenario considering all weather stations during the study period (2003?2016), while it was less accurate in forecasting above-normal precipitation scenarios (60% of success). We found that earlier sowing dates were a better strategy for years when an above-normal precipitation forecast was released for the December?January-February period (4.7 Mg ha−1 average seed yield). In contrast, delayed sowing dates were more appropriate for below-normal precipitation forecasts (3.7 Mg ha−1 average seed yield). Applying season-specific management practices farmers could potentially increase their soybean yields by up to 0.6 and 1.6 Mg ha−1, in years with below- or above-normal forecasted precipitations, respectively. The benefit of season-specific management will depend on the interaction among all management practices, the effective capacity of farmers to implement it, and the risk profile the farmer adopts and it is exposed to. SIGNIFICANCE: Here we built a novel approach to assess the impact of considering seasonal precipitation forecasts for optimizing crop production. This assessment provided insights on how farmers can use seasonal precipitation forecasts to optimize rainfed soybean yield for a specific cropping season.
© 2021 Elsevier Ltd MenosABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the tot... Presentar Todo |
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Palabras claves : |
Agricultural management; Climate change; Crop production; Cropping practice; Cropping system; El Niño/southern oscillation; Glycine max; Maturity group; Precipitation (climatology); Seasonal variation; Soybean; Strategic approach. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 04915naa a2200349 a 4500
001 1062640
005 2022-01-18
008 2022 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2021.103331$2DOI
100 1 $aRIZZO, G.
245 $aSeason-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 8 September 2021; Received in revised form 16 November 2021; Accepted 17 November 2021; Available online 25 November 2021. Editor: Guillaume Martin. Corresponding author: Rizzo, G.; Departamento de Producción Vegetal, Facultad de Agronomía, Estación Experimental Mario Alberto Cassinoni, Universidad de la República, Paysandú, Uruguay; email:grizzo2@huskers.unl.edu -- This project was partially funded on a fellowship from the Instituto Nacional de Investigaci?n Agropecuaria de Uruguay (INIA) granted to the senior author, and by the INIA project #INIA_CS_48_0_00. Authors wish to thank Deborah Gasso and Cristina Capurro (INIA) for providing access to their field experiment data to evaluate crop model performance. We also acknowledge Mariana Hill, Carlos Clerici, and Martin Dell'Aqua (Ministry of Livestock, Agriculture, and Fisheries of Uruguay) for providing soil and cropping sequence data. We are grateful to FUCREA for providing access to the farmers' database.
520 $aABSTRACT. - CONTEXT Global climate change is resulting in more frequent and more damaging extreme events affecting the performance of production systems. It is imperative to develop good season-specific crop management recommendations to help farmers to improve their adaptive capacity to a changing climate one season at a time. OBJECTIVE: We aimed to evaluate the skill of the International Research Institute for Climate and Society (IRI) seasonal precipitation forecasts and the interaction between the forecasted seasonal precipitation scenarios and management practices for rainfed soybean cropping systems using a crop simulation model. METHODS: We used a crop simulation model (CROPGRO-Soybean) coupled with weather data to assess the potential use of the IRI seasonal precipitation forecasts as a tool to optimize season-specific management strategies for rainfed soybean in Uruguay. We used a total of 620?668 IRI seasonal precipitation forecasts released from 2003 to 2016 for each of the five weather stations located in the main soybean producing area. The analysis was performed for two soybean cropping systems (i.e., sown as a single crop or as double-cropped soybean), for which we considered combinations of sowing dates and maturity groups (11 sowing dates × 3 maturity groups combinations for each soybean cropping system). RESULTS AND CONCLUSIONS: The IRI seasonal precipitation forecasts were able to successfully forecast below-normal precipitation scenarios in 77% of the total predictions developed for this scenario considering all weather stations during the study period (2003?2016), while it was less accurate in forecasting above-normal precipitation scenarios (60% of success). We found that earlier sowing dates were a better strategy for years when an above-normal precipitation forecast was released for the December?January-February period (4.7 Mg ha−1 average seed yield). In contrast, delayed sowing dates were more appropriate for below-normal precipitation forecasts (3.7 Mg ha−1 average seed yield). Applying season-specific management practices farmers could potentially increase their soybean yields by up to 0.6 and 1.6 Mg ha−1, in years with below- or above-normal forecasted precipitations, respectively. The benefit of season-specific management will depend on the interaction among all management practices, the effective capacity of farmers to implement it, and the risk profile the farmer adopts and it is exposed to. SIGNIFICANCE: Here we built a novel approach to assess the impact of considering seasonal precipitation forecasts for optimizing crop production. This assessment provided insights on how farmers can use seasonal precipitation forecasts to optimize rainfed soybean yield for a specific cropping season. © 2021 Elsevier Ltd
653 $aAgricultural management
653 $aClimate change
653 $aCrop production
653 $aCropping practice
653 $aCropping system
653 $aEl Niño/southern oscillation
653 $aGlycine max
653 $aMaturity group
653 $aPrecipitation (climatology)
653 $aSeasonal variation
653 $aSoybean
653 $aStrategic approach
700 1 $aMAZZILLI, S.R.
700 1 $aERNST, O.
700 1 $aBAETHGENI, W.E.
700 1 $aBERGER, A.
773 $tAgricultural Systems, 2022, volume 19, Article number 103331. doi: https://doi.org/10.1016/j.agsy.2021.103331
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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 : |
08/09/2020 |
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Actualizado : |
08/09/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
LÓPEZ-VALIENTE, S.; MAREZCA, S.; RODRÍGUEZ, A. M.; LONG, N. M.; QUINTANS, G.; PALLADINO, R. A. |
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Afiliación : |
SEBASTIÁN LÓPEZ-VALIENTE, Instituto Nacional de Tecnología Agropecuaria. Cuenca del Salado Experimental Station, Rauch, Argentina; SEBASTIÁN MAREZCA, Instituto Nacional de Tecnología Agropecuaria. Cuenca del Salado Experimental Station, Rauch, Argentina; ALEJANDROO M. RODRÍGUEZ, Instituto Nacional de Tecnología Agropecuaria. Cuenca del Salado Experimental Station, Rauch, Argentina; NATHAN M. LONG, Department of Animal and Veterinary Sciences, Clemson University, Clemson, USA.; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL ALEJANDRO PALLADINO, PROLACT-CONICET, Universidad Nacional de Lomas de Zamora, Argentina. |
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Título : |
Effect of protein restriction during mid-to late gestation of beef cows on female offspring fertility, lactation performance and calves development. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
EC Veterinary Science, November 2019, v. 4 (10), p. 1-12. Open Access. Doi: 10.31080/ecve.2019.04.00186 |
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DOI : |
10.31080/ecve.2019.04.00186 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: October 24, 2019; Published: November 13, 2019. |
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Contenido : |
Cow calf operation in Argentina are managed under extensive grazing condition and the quality of forages is often poor during second half of gestation. Protein restriction in bovine gestation affects production traits in progeny. The present work investigated the effects of two levels of crude protein (CP) provided to mature dams during late gestation on subsequent heifer?s growth postweaning, reproductive performance, milk production and grand offspring evolution. At 121 d prepartum, 68 multiparous Angus cows were randomly assigned to low protein (LP, 6% CP) or high protein (HP, 12% CP) at 12 pens per treatment group. Following calving, all cow/calf pairs were housed together until weaning, then female progeny were removed and maintained on pasture as a single group.
At puberty (P = 0.01) and pregnancy determination (P = 0.05) the HP heifers were heavier than LP heifers. The LM area was greater at 20 mo of age in HP compared to LP heifers (P = 0.01) and the HP heifers had greater 12th rib fat thickness at 30 and 35 mo of age (P = 0.02). Serum IGF-1 concentration was greater in HP heifers compared to LP heifers (P = 0.05). No dam nutrition effects were found on offspring age at puberty (P = 0.98), final pregnancy rate (P = 0.28) or milk yield (P = 0.76) but heifers born to LP dams had greater milk protein percentage (P = 0.04) and tended to produce increased milk fat percentage (P = 0.08) compared with HP heifers.
The LP grand offspring grew faster from birth until weaning compared with HP grand offspring (P < 0.01) with reduced insulin concentrations (P = 0.03) and tended to have increased glucose concentrations than HP calves (P = 0.09). Protein supplementation during late gestation does not affect reproductive performance of the offspring heifers but did impact their BW evolution, milk quality and grand offspring performance. Implications: The use of diet with low amount of protein which the female fetus is exposed in utero can affect her subsequent development and ability to nourish subsequent generations. MenosCow calf operation in Argentina are managed under extensive grazing condition and the quality of forages is often poor during second half of gestation. Protein restriction in bovine gestation affects production traits in progeny. The present work investigated the effects of two levels of crude protein (CP) provided to mature dams during late gestation on subsequent heifer?s growth postweaning, reproductive performance, milk production and grand offspring evolution. At 121 d prepartum, 68 multiparous Angus cows were randomly assigned to low protein (LP, 6% CP) or high protein (HP, 12% CP) at 12 pens per treatment group. Following calving, all cow/calf pairs were housed together until weaning, then female progeny were removed and maintained on pasture as a single group.
At puberty (P = 0.01) and pregnancy determination (P = 0.05) the HP heifers were heavier than LP heifers. The LM area was greater at 20 mo of age in HP compared to LP heifers (P = 0.01) and the HP heifers had greater 12th rib fat thickness at 30 and 35 mo of age (P = 0.02). Serum IGF-1 concentration was greater in HP heifers compared to LP heifers (P = 0.05). No dam nutrition effects were found on offspring age at puberty (P = 0.98), final pregnancy rate (P = 0.28) or milk yield (P = 0.76) but heifers born to LP dams had greater milk protein percentage (P = 0.04) and tended to produce increased milk fat percentage (P = 0.08) compared with HP heifers.
The LP grand offspring grew faster from birth until weaning c... Presentar Todo |
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Palabras claves : |
FETAL PROGRAMMING; MILK YIELD; OFFSPRING PUBERTY; PROGENY GROWTH; PROGRAMACIÓN FETAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14623/1/ECVE-04-00186.pdf
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Marc : |
LEADER 03003naa a2200265 a 4500
001 1061299
005 2020-09-08
008 2019 bl uuuu u00u1 u #d
024 7 $a10.31080/ecve.2019.04.00186$2DOI
100 1 $aLÓPEZ-VALIENTE, S.
245 $aEffect of protein restriction during mid-to late gestation of beef cows on female offspring fertility, lactation performance and calves development.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: October 24, 2019; Published: November 13, 2019.
520 $aCow calf operation in Argentina are managed under extensive grazing condition and the quality of forages is often poor during second half of gestation. Protein restriction in bovine gestation affects production traits in progeny. The present work investigated the effects of two levels of crude protein (CP) provided to mature dams during late gestation on subsequent heifer?s growth postweaning, reproductive performance, milk production and grand offspring evolution. At 121 d prepartum, 68 multiparous Angus cows were randomly assigned to low protein (LP, 6% CP) or high protein (HP, 12% CP) at 12 pens per treatment group. Following calving, all cow/calf pairs were housed together until weaning, then female progeny were removed and maintained on pasture as a single group. At puberty (P = 0.01) and pregnancy determination (P = 0.05) the HP heifers were heavier than LP heifers. The LM area was greater at 20 mo of age in HP compared to LP heifers (P = 0.01) and the HP heifers had greater 12th rib fat thickness at 30 and 35 mo of age (P = 0.02). Serum IGF-1 concentration was greater in HP heifers compared to LP heifers (P = 0.05). No dam nutrition effects were found on offspring age at puberty (P = 0.98), final pregnancy rate (P = 0.28) or milk yield (P = 0.76) but heifers born to LP dams had greater milk protein percentage (P = 0.04) and tended to produce increased milk fat percentage (P = 0.08) compared with HP heifers. The LP grand offspring grew faster from birth until weaning compared with HP grand offspring (P < 0.01) with reduced insulin concentrations (P = 0.03) and tended to have increased glucose concentrations than HP calves (P = 0.09). Protein supplementation during late gestation does not affect reproductive performance of the offspring heifers but did impact their BW evolution, milk quality and grand offspring performance. Implications: The use of diet with low amount of protein which the female fetus is exposed in utero can affect her subsequent development and ability to nourish subsequent generations.
653 $aFETAL PROGRAMMING
653 $aMILK YIELD
653 $aOFFSPRING PUBERTY
653 $aPROGENY GROWTH
653 $aPROGRAMACIÓN FETAL
700 1 $aMAREZCA, S.
700 1 $aRODRÍGUEZ, A. M.
700 1 $aLONG, N. M.
700 1 $aQUINTANS, G.
700 1 $aPALLADINO, R. A.
773 $tEC Veterinary Science, November 2019$gv. 4 (10), p. 1-12. Open Access. Doi: 10.31080/ecve.2019.04.00186
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