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Title: Delineation of management zones based on the Rasch model in an olive orchard
Authors: Rebollo, F. J.
Moral, F. J.
Campillo, C.
Marques da Silva, J.
Serrano, J. M.
Pérez-Rodríguez, J. M.
Keywords: predictive map
probabilistic model
soil production
Issue Date: 2017
Citation: Rebollo, F.J., Moral, F.J., Campillo, C., Marques da Silva, J.R., Serrano, J.M., Pérez-Rodríguez, J.M. (2017). Delineation of management zones based on the Rasch model in an olive orchard. Advances in Animal Biosciences, 8(2): 610-614.
Abstract: The probabilistic Rasch model is used to get objective measures of production potential at some locations of an olive orchard located in Badajoz, southwestern Spain. Nine soil properties (soil apparent electrical conductivity, clay, sand, and silt content, organic matter, total nitrogen, available phosphorous and potassium, and cation exchange capacity), taken at 40 locations in the field, were considered and, after being integrated in the model, a ranking of all locations according to the soil production potential and the influence on the production potential of each individual soil property were determined. Moreover, those soil samples or properties which had any anomaly where highlighted; this information can be necessary to conduct site-specific treatments, leading to a more cost-effective and sustainable field management. Additionally, estimates using geostatistical algorithms were utilised to map soil production potential and to delineate with a rational basis the management zones in the field.
Type: article
Appears in Collections:ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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