 Proyección del rendimiento de cultivos de grano basada en los informes semanales de humedad edáfica y estadio fenológico de SAGyPGrain crop yield prediction based on weekly soil moisture and phenological stage reports from SAGyPLuis Frank MPRA Paper from University Library of Munich, Germany Abstract: The paper proposes to use weekly soil moisture and phenological stage data, provided by SAGyP reports, to predict the yield of corn, soybeans (first and second sow), wheat and sunflower. The adjustment of specific models reveals a close relationship between soil moisture and the final yield of the four crops, regardless of the phenological stage of the crop. This apparent irrelevance of the phenological stage contradicts the agronomic literature, which is mainly based on field trials. However, the coefficients of the proposed models, which in turn can be directly interpreted as yield elasticities with respect to moisture, are consistent with the results of other authors. At the end of the paper, the use of the obtained elasticities to predict the national harvest and optimize the management of the climatic risk inherent to agricultural production at a firm level is discussed. Keywords: soybean, corn, wheat and sunflower yield; soil moisture; general crop conditions; SAGyP (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:123838 Access Statistics for this paper More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.