Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem
Hairy vetch (Vicia villosa Roth) is a winter annual legume cultivated for pasture and hay with the capability for natural reseeding. Vicia villosa increases N concentrations in the soil, thus contributing to the sustainability of semiarid regions. However, under rotations of 1–2 years of pasture fol...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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2018
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| Acceso en línea: | https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12295 http://hdl.handle.net/20.500.12123/2320 https://doi.org/10.1111/gfs.12295 |
| _version_ | 1855483033240469504 |
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| author | Renzi Pugni, Juan Pablo Chantre Balacca, Guillermo Ruben Cantamutto, Miguel Angel |
| author_browse | Cantamutto, Miguel Angel Chantre Balacca, Guillermo Ruben Renzi Pugni, Juan Pablo |
| author_facet | Renzi Pugni, Juan Pablo Chantre Balacca, Guillermo Ruben Cantamutto, Miguel Angel |
| author_sort | Renzi Pugni, Juan Pablo |
| collection | INTA Digital |
| description | Hairy vetch (Vicia villosa Roth) is a winter annual legume cultivated for pasture and hay with the capability for natural reseeding. Vicia villosa increases N concentrations in the soil, thus contributing to the sustainability of semiarid regions. However, under rotations of 1–2 years of pasture followed by 1 year of crop (1:1–2:1), hairy vetch could become a problematic volunteer weed in the winter cereal crop phase. This study aimed to develop a mechanistic model for hairy vetch seedling emergence in order to (i) estimate the natural reseeding of hairy vetch in the pasture phase of the field rotation, or (ii) develop control strategies considering hairy vetch as a volunteer weed in the winter cereal phase. The proposed model simulates the pattern of field emergence of hairy vetch after natural seed dispersal by integrating four submodels: (i) physical (PY) dormancy release dynamics, (ii) physiological dormancy (PD) release and germination thermal requirements, (iii) hydro‐time requirements for germination, and (iv) pre‐emergence growth respectively. The developed field emergence model was validated with independent field emergence data during 2013, 2014 and 2015. The model adequately predicted the timing and magnitude of field emergence flushes (RMSE < 10.1) despite the environmental variability among years. The additive effect of each submodel clearly improved the explanatory capacity of the field emergence patterns. The alleviation of PD synchronizes the timing for hairy vetch germination, while the PY determines the seedbank persistence. These outcomes suggest the potential applicability of the proposed modelling approach within management decision support systems. |
| format | Artículo |
| id | INTA2320 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA23202018-07-04T15:14:51Z Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem Renzi Pugni, Juan Pablo Chantre Balacca, Guillermo Ruben Cantamutto, Miguel Angel Vicia Villosa Emergencia Zona Semiárida Agroecosistemas Emergence Semiarid Zones Agroecosystems Hairy vetch (Vicia villosa Roth) is a winter annual legume cultivated for pasture and hay with the capability for natural reseeding. Vicia villosa increases N concentrations in the soil, thus contributing to the sustainability of semiarid regions. However, under rotations of 1–2 years of pasture followed by 1 year of crop (1:1–2:1), hairy vetch could become a problematic volunteer weed in the winter cereal crop phase. This study aimed to develop a mechanistic model for hairy vetch seedling emergence in order to (i) estimate the natural reseeding of hairy vetch in the pasture phase of the field rotation, or (ii) develop control strategies considering hairy vetch as a volunteer weed in the winter cereal phase. The proposed model simulates the pattern of field emergence of hairy vetch after natural seed dispersal by integrating four submodels: (i) physical (PY) dormancy release dynamics, (ii) physiological dormancy (PD) release and germination thermal requirements, (iii) hydro‐time requirements for germination, and (iv) pre‐emergence growth respectively. The developed field emergence model was validated with independent field emergence data during 2013, 2014 and 2015. The model adequately predicted the timing and magnitude of field emergence flushes (RMSE < 10.1) despite the environmental variability among years. The additive effect of each submodel clearly improved the explanatory capacity of the field emergence patterns. The alleviation of PD synchronizes the timing for hairy vetch germination, while the PY determines the seedbank persistence. These outcomes suggest the potential applicability of the proposed modelling approach within management decision support systems. EEA Hilario Ascasubi Fil: Renzi Pugni, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina Fil: Chantre Balacca, Guillermo Ruben. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina Fil: Cantamutto, Miguel Angel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina 2018-05-04T12:31:10Z 2018-05-04T12:31:10Z 2018-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12295 http://hdl.handle.net/20.500.12123/2320 0142-5242 1365-2494 https://doi.org/10.1111/gfs.12295 eng info:eu-repo/semantics/restrictedAccess application/pdf Grass and forage science 73 (1) : 146-158. (March 2018) |
| spellingShingle | Vicia Villosa Emergencia Zona Semiárida Agroecosistemas Emergence Semiarid Zones Agroecosystems Renzi Pugni, Juan Pablo Chantre Balacca, Guillermo Ruben Cantamutto, Miguel Angel Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title | Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title_full | Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title_fullStr | Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title_full_unstemmed | Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title_short | Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem |
| title_sort | vicia villosa ssp villosa roth field emergence model in a semiarid agroecosystem |
| topic | Vicia Villosa Emergencia Zona Semiárida Agroecosistemas Emergence Semiarid Zones Agroecosystems |
| url | https://onlinelibrary.wiley.com/doi/abs/10.1111/gfs.12295 http://hdl.handle.net/20.500.12123/2320 https://doi.org/10.1111/gfs.12295 |
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