Geostatistical modeling of soybean yield and soil chemical attributes using spatial bootstrap

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dc.catalogadoryvc
dc.contributor.authorDalposso, Gustavo H.
dc.contributor.authorUribe-Opazo, Miguel A.
dc.contributor.authorJohann, Jerry A.
dc.contributor.authorBastiani, Fernanda de
dc.contributor.authorGalea Rojas, Manuel Jesús
dc.date.accessioned2024-04-17T17:33:38Z
dc.date.available2024-04-17T17:33:38Z
dc.date.issued2019
dc.description.abstractThe goal of this study was to use the spatial bootstrap method to model the spatial dependence structure of soybean yield and soil chemical attributes in an agricultural area. The study involved developing confidence intervals in probability plots to determine the probability distributions assumed by the data; determine the empirical distributions of the semivariances and model parameters, allowing to obtain statistics and confidence intervals; and to construct maps for the variables. The quantile-quantile plots indicated that the data follows a normal distribution. The confidence intervals for the semivariances helped to model the spatial dependence structure, and the descriptive statistics of the bootstrap replicates of the model parameters allowed to test the consistency of the estimates. The soil chemical attributes (calcium, potassium, and organic matter) were at levels suitable for soybean cultivation. However, the pH was below the ideal range in most of the study area, and water stress during cultivation decreased the mean yield. Therefore, according to the results, a recommendation to the farmer is to correct the soil pH to increase the yield.
dc.fechaingreso.objetodigital2024-04-17
dc.format.extent8 páginas
dc.fuente.origenConveris
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v39n3p350-357/2019
dc.identifier.eissn1809-4430
dc.identifier.issn0100-6916
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85164
dc.identifier.wosidWOS:000472027700011
dc.information.autorucFacultad de Matemáticas; Galea Rojas, Manuel Jesús; 0000-0001-9819-5843; 1008589
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final357
dc.pagina.inicio350
dc.revistaEngenharia Agrícola
dc.rightsacceso abierto
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.subject.ods02 Zero hunger
dc.subject.odspa02 Hambre cero
dc.titleGeostatistical modeling of soybean yield and soil chemical attributes using spatial bootstrap
dc.typeartículo
dc.volumen39
sipa.codpersvinculados1008589
sipa.trazabilidadConveris;20-07-2021
sipa.trazabilidadORCID;2024-04-14
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