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dc.contributor.author
Ojeda, Jonathan Jesus
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dc.contributor.author
Caviglia, Octavio Pedro
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dc.contributor.author
Irisarri, Jorge Gonzalo Nicolás
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dc.contributor.author
Agnusdei, Mónica Graciela
dc.date.available
2020-01-09T18:47:24Z
dc.date.issued
2018-09
dc.identifier.citation
Ojeda, Jonathan Jesus; Caviglia, Octavio Pedro; Irisarri, Jorge Gonzalo Nicolás; Agnusdei, Mónica Graciela; Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences; Elsevier Science; Agricultural And Forest Meteorology; 259; 9-2018; 1-10
dc.identifier.issn
0168-1923
dc.identifier.uri
http://hdl.handle.net/11336/94170
dc.description.abstract
In livestock systems of the Argentinean Pampas, its forage production stability relies on the integration of two landcovers, annual forage crop sequences and perennial pastures. Despite the key role that these forage cropping systems have on current milk and beef production, it is unclear how year-by-year variability of precipitation affect forage dry matter (DM) yield and precipitation use efficiency (PUE, i.e. the quotient between forage DM yield and precipitation). The aims of this study were to analyze the impact (i) of year-by-year precipitation variability on DM yield and PUE of oats-maize (Avena sativa L. - Zea mays L.) double-crop and alfalfa (Medicago sativa L.) and (ii) of cumulative precipitation during the critical period of maize on DM yield and PUE of oats-maize double-crop. We used a modelling approach to estimate DM yield and PUE of oats-maize (sequence) and alfalfa in five locations of the Argentinean Pampas, which differed in annual precipitation (AP) and variability of it. Coefficient of variation (CV) was used as the main statistical variable to compare the variability of AP (CVAP), DM yield (CVDM), and PUE (CVPUE). Mean DM yield of both landcovers was higher in locations with high AP (>800 mm) than with low AP (<800 mm). Although alfalfa had lower mean DM yield than sequence in all locations, it showed a lower CVDM than sequence. In contrast, sequence showed lower and higher CVDM than CVAP, depending on location. Moreover, changes in DM yield due to variations of AP were higher in sequence than in alfalfa. On the other hand, mean PUE was higher for sequence (2.2 g DM m−2 mm−1) than that of alfalfa (1.6 g DM m−2 mm−1). The CVPUE between locations, i.e. an index that reflects the spatial variability, ranged from 20 for the sequence to 68% for alfalfa, whereas CVPUE between years, i.e. an index that reflects the temporal variability, ranged from 16 to 31 % for both landcovers. Precipitation use efficiency tended to be similar across locations in years with low AP (<800 mm) compared to years with high AP (>800 mm). Our results provided valuable knowledge for decision making in livestock systems of this region through the development of spatial and temporal models between DM yield and AP. In a broader sense, they also showed that shifts from perennial to seasonal forage covers increased yields but also its inter-annual variability, posing a risk for farmers.
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
ALFALFA
dc.subject
APSIM
dc.subject
MAIZE
dc.subject
SIMULATION MODELLING
dc.subject
SPATIAL VARIABILITY
dc.subject
TEMPORAL PATTERNS
dc.subject.classification
Ganadería
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dc.subject.classification
Producción Animal y Lechería
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-23T21:14:08Z
dc.journal.volume
259
dc.journal.pagination
1-10
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Ojeda, Jonathan Jesus. Universidad Nacional de Entre Ríos; Argentina. University of Tasmania; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Caviglia, Octavio Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.fil
Fil: Agnusdei, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.journal.title
Agricultural And Forest Meteorology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0168192318301369
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.agrformet.2018.04.014
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