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Modeling formulas of the comprehensive diagnosis and recommendation system (DRIS) for phosphorus in sugarcane

dc.contributor.authorPereira da Silva, Gilmara
dc.contributor.authorPrado, Renato de Mello [UNESP]
dc.contributor.authorWadt, Paulo Guilherme Salvador
dc.contributor.authorSilva, Fabio Cesar da
dc.contributor.authorVaz, Glauber Jose
dc.contributor.authorModa, Leandro Rossato [UNESP]
dc.contributor.authorCaione, Gustavo
dc.contributor.institutionState Univ Mato Grosso UNEMAT
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2021-06-25T12:28:57Z
dc.date.available2021-06-25T12:28:57Z
dc.date.issued2020-12-12
dc.description.abstractThe use of accuracy measures for modeling the formulas of the Comprehensive Diagnosis and Recommendation System (DRIS), can improve the efficiency of the method in assessing the nutritional status in sugarcane. Therefore, the objective was to use the accuracy measures proposed by Wadt and Lemos for the modeling of DRIS formulas in sugarcane, based on the nutritional status for phosphorus. The database was created based on productivity and leaf contents of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn for sugarcane, considered in two agricultural years. (2013 and 2014) making a total of 1,224 samples. DRIS formula modeling was performed using the seven accuracy measures proposed by Wadt and Lemos. The lowest productivity losses were registered using the sensitivity factor f = 2.5 and the productivity response limit of 40% in the 2013 and 2014 harvest. However, there is a need for a greater number of studies to achieve productivity gains when adopt DRIS to assess the nutritional status of sugarcane. The measure of accuracy of nutritional sufficiency at the response limit of 20 and 40% showed a better performance, which can avoid losses in the management of fertilization.en
dc.description.affiliationState Univ Mato Grosso UNEMAT, Univ Campus Alta Floresta, BR-78580000 Alta Floresta, MT, Brazil
dc.description.affiliationUniv Estadual Paulista, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil
dc.description.affiliationBrazilian Agr Res Corp Embrapa Rondonia, Porto Velho, RO, Brazil
dc.description.affiliationEmbrapa Informat Agr, Ave Dr Andre Tosello 209,Cidade Univ, Campinas, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil
dc.format.extent1316-1329
dc.identifierhttp://dx.doi.org/10.1080/01904167.2020.1862192
dc.identifier.citationJournal Of Plant Nutrition. Philadelphia: Taylor & Francis Inc, v. 44, n. 9, p. 1316-1329, 2020.
dc.identifier.doi10.1080/01904167.2020.1862192
dc.identifier.issn0190-4167
dc.identifier.urihttp://hdl.handle.net/11449/209777
dc.identifier.wosWOS:000598941300001
dc.language.isoeng
dc.publisherTaylor & Francis Inc
dc.relation.ispartofJournal Of Plant Nutrition
dc.sourceWeb of Science
dc.subjectaccuracy
dc.subjectadjustment fator
dc.subjectSaccharum officinarum
dc.titleModeling formulas of the comprehensive diagnosis and recommendation system (DRIS) for phosphorus in sugarcaneen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Inc
dspace.entity.typePublication
unesp.author.orcid0000-0002-5429-6308[3]
unesp.departmentSolos e Adubos - FCAVpt

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