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CONICET Digital
Article . 2019
License: CC BY NC SA
Data sources: CONICET Digital
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Field Crops Research
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Development and validation of a simulation model for hairy vetch (Vicia villosa Roth) self-regeneration under different crop rotations

Authors: Juan P. Renzi; Guillermo R. Chantre; José L. González-Andújar; Miguel A. Cantamutto;

Development and validation of a simulation model for hairy vetch (Vicia villosa Roth) self-regeneration under different crop rotations

Abstract

Hairy vetch (HV, Vicia villosa Roth) is a winter annual legume cultivated for pasture grazing, in crop rotations with cereal crops under semi-arid conditions. The inclusion of HV increases soil nitrogen, thus contributing to satisfied the nutrient requirements of the successive crops. As a forage crop, HV shows a remarkable capability for natural reseeding. This study aimed to develop and validate a simulation model to evaluate HV self-regeneration capacity considering different HV–winter cereal crop rotation (pasture-crop phase) scenarios. Predicted HV plant density for the evaluated crop sequences matched observed values. HV yield and seed rain were the most important variables affecting seedbank replenishment and self-regeneration capacity. HV monoculture permits successive natural reseeding to reach a basal stand threshold of 30 plants m−2, required for a productive pasture. In a HV-cereal-HV crop rotation, the HV self-regeneration capacity requires a minimum seed yield of 185 and 240 kg ha−1 at the end of the first season under conventional (CT) and no tillage (NT) systems, respectively. Natural seedbank replenishment would not be enough to establish a productive pasture by self-regeneration after two or more successive years of cereals. From a weed management perspective, HV control should not be a considerable problem as a “volunteer plants” if management practices avoid seed production and seedbank replenishment for at least three consecutive years. These outcomes suggest the potential applicability of the proposed modelling approach within management decision support systems.

This work was supported by the Instituto Nacional de Tecnología Agropecuaria (BASUR-1272307/08, PNCyO1127032), Agencia Nacional de Promoción Científica y Tecnológica, MINCyT (PICT-2012-2854, PICT-2016-1575) and Universidad Nacional del Sur (PGI 24/A204 and PGI 24/A225).

Peer reviewed

Country
Argentina
Keywords

DECISION MAKING, Legume-cereal rotation, LEGUME-CEREAL ROTATION, WHEAT, SEMI-ARID REGION, MATHEMATICAL MODELING, Wheat, https://purl.org/becyt/ford/4.1, https://purl.org/becyt/ford/4, Mathematical modeling, Semi-arid region, Decision making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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8
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33
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