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dc.contributor.author
Scian, Beatriz Viviana
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dc.date.available
2019-03-12T20:34:47Z
dc.date.issued
2004-05
dc.identifier.citation
Scian, Beatriz Viviana; Environmental variables for modeling wheat yields in the southwest pampa region of Argentina; Springer; International Journal Of Biometeorology; 48; 4; 5-2004; 206-212
dc.identifier.issn
0020-7128
dc.identifier.uri
http://hdl.handle.net/11336/71462
dc.description.abstract
Two types of time scales - 10-day intervals (D) and phenological phases (P) - were applied to environmental variables for the development of statistical regression models relating to the southwest pampa region of Argentina, with the aim of detecting the effects of weather on wheat yields for the period 1977-1999. The parameters were grouped as meteorological and processed variables and indices. The processed variables used were total soil water availability (SWA) and the ratio of actual evapotranspiration to potential evapotranspiration (α), obtained from a water-balance model in which the moisture anomaly index (Z) and the Palmer drought severity index (PDSI) were calculated according to Palmer's model. For these parameters it was possible to establish the times of year and the phenological phases with the best correlation to grain yield. The regression equation for meteorological variables on a 10-day scale provides one of the best fits. Using mixed parameters, the two models, D and P, give rise to a standard error of estimate of approximately 200 kg ha-1. Truncated models perform better on a P scale than on a D scale. The use of phenological stages improved yield assessment, particularly for those years with extreme meteorological conditions. The optimum models were tested and root-mean-square errors (RMSE) of 440 kg ha-1 and 470 kg ha -1 were obtained for P and D scales respectively.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
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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
Environmental Variables
dc.subject
Multivariate Regression
dc.subject
Pampa Region
dc.subject
Wheat Modeling
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Environmental variables for modeling wheat yields in the southwest pampa region of Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-03-08T15:06:29Z
dc.journal.volume
48
dc.journal.number
4
dc.journal.pagination
206-212
dc.journal.pais
Alemania
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dc.journal.ciudad
Berlin
dc.description.fil
Fil: Scian, Beatriz Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina
dc.journal.title
International Journal Of Biometeorology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1007/s00484-004-0198-2
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00484-004-0198-2
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