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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
27/01/2021 |
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Actualizado : |
27/01/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BERRUETA, C.; GIMÉNEZ, G.; DOGLIOTTI, S. |
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Afiliación : |
MARIA CECILIA BERRUETA MOREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GIMÉNEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Scaling up from crop to farm level: Co-innovation framework to improve vegetable farm systems sustainability. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Agricultural Systems, April 2021, Volume 189, Article number 103055. Doi: https://doi.org/10.1016/j.agsy.2021.103055 |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2021.103055 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 July 2020; Received in revised form 7 January 2021; Accepted 8 January 2021; Available online 15 January 2021.
Corresponding author: Cecilia Berrueta. E-mail address: cberrueta@inia.org.uy |
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Contenido : |
Abstract-
CONTEXT: Successful scaling up from crop level research to adoption by farmers depends on its practitioners being aware of the constraints that arise as scaling up proceeds. Promising ideas from crop level research are not adopted by farmers in many cases. OBJECTIVE: Scaling up is explored here in a study conducted in five vegetable farms in south Uruguay, where tomato production was one of the main sources of income. We aimed to evaluate the redesign process at both levels (crop and farm) focusing on: synergies and trade-offs between crop yield and farm system improvement and how critical crop constraints could be solved at farm level. METHODS: Improved crop management practices were proposed following yield gap analysis recommendations developed in previous studies, aiming to maximise crop yield and inputs use efficiency. At the farm level, a multi-year plan defining crops choice, crops area and allocation of fields to crops was designed to match resource demands to supply, especially for labour. Redesign plans were implemented for one year, with 66% of redesigned activities adopted at farm level and 86% at crop level. RESULTS AND CONCLUSIONS: We found several examples where farm system adjustment conflicted with crop yield maximization. We also found constraints prioritised as bottlenecks for crop yield improvement, which require solutions at the farm level. For instance, fertigation problems (quantity and timing) explained part of the yield gap in tomato. Overcoming these constraints requires farm system settings, e.g. adjustment of cropping area to water availability, development of suitable water reservoirs and infrastructure for water distribution and fertilisers injection, besides adjustment of a fertigation plan according to crop demand, soil fertility and greenhouse environment at crop level. Crop yield limiting factors identified through yield gap analysis, considered inside a farm system redesign process, could be a powerful tool to better targeting crop management recommendations to overall farm performance improvement. SIGNIFICANCE: The consideration of farm systems as a whole showed greater economic and environmental impacts than focusing only on the main crop due to synergies and trade-offs among farm system components. Multi-scale analysis showed that recommendations from crop research need to be tailored to farm context and objectives considering synergies and trade-offs.
© 2021 Elsevier Ltd MenosAbstract-
CONTEXT: Successful scaling up from crop level research to adoption by farmers depends on its practitioners being aware of the constraints that arise as scaling up proceeds. Promising ideas from crop level research are not adopted by farmers in many cases. OBJECTIVE: Scaling up is explored here in a study conducted in five vegetable farms in south Uruguay, where tomato production was one of the main sources of income. We aimed to evaluate the redesign process at both levels (crop and farm) focusing on: synergies and trade-offs between crop yield and farm system improvement and how critical crop constraints could be solved at farm level. METHODS: Improved crop management practices were proposed following yield gap analysis recommendations developed in previous studies, aiming to maximise crop yield and inputs use efficiency. At the farm level, a multi-year plan defining crops choice, crops area and allocation of fields to crops was designed to match resource demands to supply, especially for labour. Redesign plans were implemented for one year, with 66% of redesigned activities adopted at farm level and 86% at crop level. RESULTS AND CONCLUSIONS: We found several examples where farm system adjustment conflicted with crop yield maximization. We also found constraints prioritised as bottlenecks for crop yield improvement, which require solutions at the farm level. For instance, fertigation problems (quantity and timing) explained part of the yield gap in tomato. Overc... Presentar Todo |
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Palabras claves : |
Crop management; Family farms; Farm system; Redesign at farm level; Yield gap analysis. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03464naa a2200241 a 4500
001 1061687
005 2021-01-27
008 2021 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2021.103055$2DOI
100 1 $aBERRUETA, C.
245 $aScaling up from crop to farm level$bCo-innovation framework to improve vegetable farm systems sustainability.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 6 July 2020; Received in revised form 7 January 2021; Accepted 8 January 2021; Available online 15 January 2021. Corresponding author: Cecilia Berrueta. E-mail address: cberrueta@inia.org.uy
520 $aAbstract- CONTEXT: Successful scaling up from crop level research to adoption by farmers depends on its practitioners being aware of the constraints that arise as scaling up proceeds. Promising ideas from crop level research are not adopted by farmers in many cases. OBJECTIVE: Scaling up is explored here in a study conducted in five vegetable farms in south Uruguay, where tomato production was one of the main sources of income. We aimed to evaluate the redesign process at both levels (crop and farm) focusing on: synergies and trade-offs between crop yield and farm system improvement and how critical crop constraints could be solved at farm level. METHODS: Improved crop management practices were proposed following yield gap analysis recommendations developed in previous studies, aiming to maximise crop yield and inputs use efficiency. At the farm level, a multi-year plan defining crops choice, crops area and allocation of fields to crops was designed to match resource demands to supply, especially for labour. Redesign plans were implemented for one year, with 66% of redesigned activities adopted at farm level and 86% at crop level. RESULTS AND CONCLUSIONS: We found several examples where farm system adjustment conflicted with crop yield maximization. We also found constraints prioritised as bottlenecks for crop yield improvement, which require solutions at the farm level. For instance, fertigation problems (quantity and timing) explained part of the yield gap in tomato. Overcoming these constraints requires farm system settings, e.g. adjustment of cropping area to water availability, development of suitable water reservoirs and infrastructure for water distribution and fertilisers injection, besides adjustment of a fertigation plan according to crop demand, soil fertility and greenhouse environment at crop level. Crop yield limiting factors identified through yield gap analysis, considered inside a farm system redesign process, could be a powerful tool to better targeting crop management recommendations to overall farm performance improvement. SIGNIFICANCE: The consideration of farm systems as a whole showed greater economic and environmental impacts than focusing only on the main crop due to synergies and trade-offs among farm system components. Multi-scale analysis showed that recommendations from crop research need to be tailored to farm context and objectives considering synergies and trade-offs. © 2021 Elsevier Ltd
653 $aCrop management
653 $aFamily farms
653 $aFarm system
653 $aRedesign at farm level
653 $aYield gap analysis
700 1 $aGIMÉNEZ, G.
700 1 $aDOGLIOTTI, S.
773 $tAgricultural Systems, April 2021, Volume 189, Article number 103055. Doi: https://doi.org/10.1016/j.agsy.2021.103055
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/07/2017 |
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Actualizado : |
12/12/2018 |
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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 : |
ABREO, E.; VAZ, P.; NÚÑEZ, L.; STEWART, S.; MATTOS, N.; DINI, B.; ALTIER, N. |
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Afiliación : |
EDUARDO RAUL ABREO GIMENEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PATRICIA VAZ JAURI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; L. NÚÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NATALIA MATTOS MENDOZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA BEATRIZ DINI FUERTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NORA ADRIANA ALTIER MANZINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Pathogenicity of Pythium spp. obtained from agricultural soils and symptomatic legume seedlings in Uruguay. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Australasian Plant Disease Notes, 2017, 12:35. |
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ISSN : |
1833-928X (online ISSN) |
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DOI : |
10.1007/s13314-017-0258-1 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 12 March 2017 /Accepted: 17 July 2017 // First Online: 26 July 2017 |
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Contenido : |
ABSTRACT.
Pythium spp. were isolated from symptomatic plants and agricultural soils in Uruguay. Species were identified and the pathogenicity of representative isolates was assessed in vitro on lotus, alfalfa and soybean seeds. Pythium sylvaticum and P. paroecandrum were the least virulent on lotus and alfalfa, while P. irregulare, P. ultimum and P. cryptoirregulare were the most virulent. Soybean seeds were equally affected by isolates of all tested Pythium species.
@ Australasian Plant Pathology Society Inc. 2017 |
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Palabras claves : |
OOMYCETE; RADICLE; SEED. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12164/1/Abreo-E.-2017.-Australasian-Plant-Dis.Notes.pdf
https://link.springer.com/content/pdf/10.1007%2Fs13314-017-0258-1.pdf
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Marc : |
LEADER 01345naa a2200265 a 4500
001 1057415
005 2018-12-12
008 2017 bl uuuu u00u1 u #d
022 $a1833-928X (online ISSN)
024 7 $a10.1007/s13314-017-0258-1$2DOI
100 1 $aABREO, E.
245 $aPathogenicity of Pythium spp. obtained from agricultural soils and symptomatic legume seedlings in Uruguay.$h[electronic resource]
260 $c2017
500 $aArticle history: Received: 12 March 2017 /Accepted: 17 July 2017 // First Online: 26 July 2017
520 $aABSTRACT. Pythium spp. were isolated from symptomatic plants and agricultural soils in Uruguay. Species were identified and the pathogenicity of representative isolates was assessed in vitro on lotus, alfalfa and soybean seeds. Pythium sylvaticum and P. paroecandrum were the least virulent on lotus and alfalfa, while P. irregulare, P. ultimum and P. cryptoirregulare were the most virulent. Soybean seeds were equally affected by isolates of all tested Pythium species. @ Australasian Plant Pathology Society Inc. 2017
653 $aOOMYCETE
653 $aRADICLE
653 $aSEED
700 1 $aVAZ, P.
700 1 $aNÚÑEZ, L.
700 1 $aSTEWART, S.
700 1 $aMATTOS, N.
700 1 $aDINI, B.
700 1 $aALTIER, N.
773 $tAustralasian Plant Disease Notes, 2017, 12:35.
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