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dc.contributor.author
Zarza, Rodrigo
dc.contributor.author
Rebuffo, Mónica
dc.contributor.author
La Manna, Alejandro
dc.contributor.author
Balzarini, Monica Graciela
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dc.date.available
2020-02-20T22:45:46Z
dc.date.issued
2018-11
dc.identifier.citation
Zarza, Rodrigo; Rebuffo, Mónica; La Manna, Alejandro; Balzarini, Monica Graciela; Plant density in red clover (Trifolium pratense L.) pastures as an early predictor of forage production; Elsevier Science; European Journal of Agronomy; 101; 11-2018; 193-199
dc.identifier.issn
1161-0301
dc.identifier.uri
http://hdl.handle.net/11336/98232
dc.description.abstract
Red clover (Trifolium pratense L.) is an alternative of great potential productivity for dairy systems, particularly in heavily compacted soils. Plant density (PD) during pasture establishment can be related to forage production and used as an early indicator of pasture quality. However, biomass predictive models for red clover are not readily available. To predict red clover biomass a few weeks after sowing would help farmers to adopt suitable management practices. The aim of this paper has therefore been to model the relationship between red clover biomass and PD at different time points during pasture establishment to identify the best monitoring moment for estimating future herbage productivity. A multi-environment trial, including several seeding rates simulating different levels of establishment within each of the nine environments, was conducted in Uruguay. Seedlings were counted 3, 7 and 12 weeks after sowing (WS). Biomass of first-cut (C1) harvest was linearly related to PD at 7 WS, whereas a second-order polynomial on PD at 7 WS was a significant predictor of accumulated biomass one (Y1) and two (Y2) years after sowing. PD at 3 WS was a strong predictor of biomass only in high-yielding environments. In such environments, more than 64 plants m−2 at 3 WS suggest a high probability of achieving annual yields above 10,000 kg DM ha-1. Therefore, early PD determination (3 or 7 WS) is a good indicator of annual productivity in pure red clover pastures.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FORAGE BIOMASS
dc.subject
PASTURE ESTABLISHMENT
dc.subject
PLANT DENSITY
dc.subject
PREDICTIVE MODEL
dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Plant density in red clover (Trifolium pratense L.) pastures as an early predictor of forage production
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-02-19T18:07:15Z
dc.journal.volume
101
dc.journal.pagination
193-199
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Zarza, Rodrigo. Instituto Nacional de Tecnología Agropecuaria; Argentina
dc.description.fil
Fil: Rebuffo, Mónica. Instituto Nacional de Tecnología Agropecuaria; Argentina
dc.description.fil
Fil: La Manna, Alejandro. Instituto Nacional de Tecnología Agropecuaria; Argentina
dc.description.fil
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
dc.journal.title
European Journal of Agronomy
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1161030118306038
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eja.2018.10.004
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