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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 : |
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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INIA Las Brujas (LB) |
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| 21. |  | TSURUTA, S.; AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; LAWLOR, T. J. Multiple trait genetic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0489. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0489.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 23. | | LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; LEGARRA, A.; MISZTAL, I. Recent updates in the BLUPF90 software suite. [366]. Part 19 - Methods and tools: software and computing strategies. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_366 1530-1533. Article history: Published online: February 9, 2023. -- Corresponding author: D. Lourenco, email: danilino@uga.edu| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 24. | | LOURENCO, D.; LEGARRA, A.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Single-step genomic evaluations from theory to practice: using snp chips and sequence data in blupf90. Genes, July 2020. Volume 11, Issue 7, Article number 790, Pages 1-32. Open Access. Doi: https://doi.org/10.3390/genes11070790 Article history: Received: 19 June 2020 / Revised: 3 July 2020 / Accepted: 6 July 2020 / Published: 14 July 2020.
(This article belongs to the Special Issue Genomic Prediction Methods for Sequencing Data):...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 25. | | MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; SÁNCHEZ, J.P.; ZUMBACH, B. Studies on heat stress in dairy cattle and pigs. Volume Special topics: Animal breeding and the environmental challenges - Lecture Sessions, 0625. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0625.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 26. | | LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
| Biblioteca(s): INIA Las Brujas. |
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| 27. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP. Genetics, Selection, Evolution : GSE, 2022, Volume 54, Issue 1, Pages 66. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-022-00752-4 Article history: Received 22 March 2022; Accepted 23 August 2022; Published 27 September 2022.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 28. | | MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; JOHNSON, D.; TSURUTA, S.; LAWLOR, T. J. A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0050. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0050. Acknowledgements: This study was partially funded by the Holstein Association, Smithfield Premium Genetics, and AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 29. | | FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. Journal of Animal Breeding and Genetics, 2015, v.132, no.5, p. 340-345.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 30. | | AGUILAR, I.; MISZTAL, I.; JOHNSON, D. L.; LEGARRA, A.; TSURUTA, S.; LAWLOR, T. J. Uso de información genómica en evaluaciones genéticas. Agrociencia Uruguay, 2010, v. 14, no. 3, p. 43-47. Agrociencia, Nro especial: Congreso Asociación Uruguaya de Producción Animal, 3., 4-5 Noviembre 2010, Montevideo, UY: INIA, Facultad de Agronomía, SMVU.| Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : B - 5 |
| Biblioteca(s): INIA Las Brujas. |
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| 31. | | LOURENCO, D.A.L.; FRAGOMENI, B.O.; TSURUTA, S.; AGUILAR, I.; ZUMBACH, B.; HAWKEN, R.J.; LEGARRA, A.; MISZTAL, I. Accuracy of estimated breeding values with genomic information on males, females, or both: An example on broiler chicken. Genetics Selection Evolution, 2015, v. 242, p. 47-56. OPEN ACCESS. Article history: Received: 14 October 2014 / Accepted: 22 June 2015 / Published: 02 July 2015.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 32. | | LOURENCO, D.A.L.; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LAWLOR, T.J.; FORNI, S.; WELLER, J.I. Are evaluations on young genotyped animals benefiting from the past generations?. Journal of Dairy Science, 2014, v.97, no.6, p.3930-3942. OPEN ACCESS Article history: Received November 26, 2013. // Accepted February 11, 2014. OPEN ACCESS| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 33. | | CHEN, C. Y.; MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; MEUWISSEN, T.; AGGREY, S. E.; MUIR, W. M. Genome wide marker assisted selection in chicken: making the most of all data, pedigree, phenotypic, and genomic in a simple one step procedure. Volume Genetic improvement programmes: Selection using molecular information - Lecture Sessions, 0288. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0288. Acknowledgements: The authors thank Cobb-Vantress for access to data for this study. This study was partially funded by the Holstein Association, Smithfield Premium Genetics, and by AFRI grants 2009-65205-05665 and 2010-65205-20366 from...| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 34. | | MISZTAL, I.; FRAGOMENI, B.; LOURENÇO, D. A. L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. Efficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY). Interbull Bulletin, 2015, v. 49, p. 111-116.| Tipo: Artículos Indexados |
| Biblioteca(s): INIA Las Brujas. |
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| 35. | | LOURENCO, D.A.L.; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; EZRA, E.; RON, M.; SHIRAK, A.; WELLER, J.I. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. Journal of Dairy Science, 2014, v.97, no.3, p.1742-1752. OPEN ACCESS. Article history: Received September 10, 2013. / Accepted December 6, 2013.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 36. | | FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T.J.; MIZTAL, I. Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. Journal of Dairy Science, 2015, v.98, no.6, p.4090-4094. OPEN ACCESS. Article history: Received November 18, 2014 / Accepted March 13, 2015 / Published online: April 8, 2015.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 37. | | MASUDA, Y.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; AGUILAR, I.; LOURENCO, D.A.L.; FRAGOMENI, B.O.; LAWLOR, T.J. Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals. Journal of Dairy Science, 2016, v.99, no.3, p.1968-1974. OPEN ACCESS OPEN ACCESS. Received 19 October 2015, Accepted 1 December 2015, Available online 21 January 2016| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 38. | | FORNERIS, N. S.; LEGARRA, A.; VITEZICA, Z. G.; TSURUTA, S.; AGUILAR, I.; MISZTAL, I.; CANTET, R. J. C. Quality control of genotypes using heritability estimates of gene content at the marker. Genetics, 2015, v. 199, p. 675-681. OPEN ACCESS. Manuscript received September 26, 2014; accepted for publication December 18, 2014; published Early Online January 6, 2015.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 39. | | FORNERIS, N. S.; LEGARRA, A.; VITEZICA, Z. G.; TSURUTA, S.; AGUILAR, I.; CANTET, R.J.C.; MISZTAL, I. Quality control of genotypes using heritability estimates of gene content. Volume Genetic Improvement Programs: Selection using molecular information (Posters), 471. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.471.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| 40. | | LOURENCO, D.; TSURUTA, S.; FRAGOMENI, B.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; MOSER, D.; MISZTAL, I. Single-step genomic BLUP for national beef cattle evaluation in US: from initial developments to final implementation. Volume Species - Bovine (beef) 1, 495. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 45 | |
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