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Crop yield predictions based on properties of soils in Sevilla, Spain

By: Contributor(s): Material type: ArticleArticlePublication details: 1981Subject(s): DDC classification:
  • 82-765367|81-686082
 In: Geoderma v. 25, no. 3, p. 267-27482-765367Summary: An approach is described for estimating yields of wheat, field corn (maize) and cotton on the basis of selected properties of soils when used under a high level of management. Statistical models were calibrated against the properties of the soils and the estimated yields of the three crops on 25 soils representing five great groups. The procedure consisted of computing algebraic equations following analyses by multiple regression. Soil properties selected were: useful depth, clay content, depth to hydromorphic features, carbonate content, salinity, sodium saturation and cation exchange capacity. The selected properties accounted for 78 to 84% in the general model and for 56 to 80% in the quadratic model of the variations in yields of the three crops. Estimates were also made of the optimum expressions of two properties, useful depth and depth to hydromorphic features, to maximize yields of the crops
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13 ref.; Summary (En)

An approach is described for estimating yields of wheat, field corn (maize) and cotton on the basis of selected properties of soils when used under a high level of management. Statistical models were calibrated against the properties of the soils and the estimated yields of the three crops on 25 soils representing five great groups. The procedure consisted of computing algebraic equations following analyses by multiple regression. Soil properties selected were: useful depth, clay content, depth to hydromorphic features, carbonate content, salinity, sodium saturation and cation exchange capacity. The selected properties accounted for 78 to 84% in the general model and for 56 to 80% in the quadratic model of the variations in yields of the three crops. Estimates were also made of the optimum expressions of two properties, useful depth and depth to hydromorphic features, to maximize yields of the crops

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