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dc.contributor.author
Renzi, Juan Pablo  
dc.contributor.author
Chantre Balacca, Guillermo Ruben  
dc.contributor.author
Cantamutto, Miguel Ángel  
dc.date.available
2019-10-29T15:35:14Z  
dc.date.issued
2018-03  
dc.identifier.citation
Renzi, Juan Pablo; Chantre Balacca, Guillermo Ruben; Cantamutto, Miguel Ángel; Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem; Wiley Blackwell Publishing, Inc; Grass and Forage Science; 73; 1; 3-2018; 146-158  
dc.identifier.issn
0142-5242  
dc.identifier.uri
http://hdl.handle.net/11336/87531  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AGROECOLOGY  
dc.subject
AGROECOSYSTEM SUSTAINABILITY  
dc.subject
COMBINATIONAL DORMANCY (PD + PY)  
dc.subject
INTEGRATED WEED MANAGEMENT  
dc.subject
PHYSICAL DORMANCY (PY)  
dc.subject
PHYSIOLOGICAL DORMANCY (PD)  
dc.subject
PREDICTIVE MODELLING  
dc.subject
VOLUNTEER WEED  
dc.subject.classification
Agronomía, reproducción y protección de plantas  
dc.subject.classification
Agricultura, Silvicultura y Pesca  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-22T17:44:50Z  
dc.identifier.eissn
1365-2494  
dc.journal.volume
73  
dc.journal.number
1  
dc.journal.pagination
146-158  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Renzi, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Hilario Ascasubi; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.description.fil
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 Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina  
dc.description.fil
Fil: Cantamutto, Miguel Ángel. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Hilario Ascasubi; Argentina  
dc.journal.title
Grass and Forage Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/gfs.12295/full  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/gfs.12295