Nutritional Diagnosis of Potato Crops Using the Multivariate Method

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Minnesota-
Autor(es): dc.contributorTimac Agro Industria e Comércio de Fertilizantes Ltda.-
Autor(es): dc.contributorMcCain Brasil Alimentos Ltda.-
Autor(es): dc.creatorPassos, Danilo dos Reis Cardoso-
Autor(es): dc.creatorCecílio Filho, Arthur Bernardes-
Autor(es): dc.creatorSoratto, Rogério Peres-
Autor(es): dc.creatorRozane, Danilo Eduardo-
Autor(es): dc.creatorYamane, Danilo Ricardo-
Autor(es): dc.creatorFernandes, Adalton Mazetti-
Autor(es): dc.creatorSouza, Emerson de Freitas Cordova de-
Autor(es): dc.creatorFernandes, Fabiana Morbi-
Autor(es): dc.creatorJob, André Luiz Gomes-
Autor(es): dc.creatorNascimento, Camila Seno-
Data de aceite: dc.date.accessioned2025-08-21T22:40:28Z-
Data de disponibilização: dc.date.available2025-08-21T22:40:28Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/agronomy14071500-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/307499-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/307499-
Descrição: dc.descriptionThe compositional nutrient diagnosis (CND) method considers the multiple relationships among nutrients and has been proposed to evaluate the nutritional status of plants in place of the univariate and bivariate methods. As it is mathematically based and considers the interactions among all nutrients at the same time, it avoids the errors and trends observed in the calculations of other methods estimating nutritional status, enabling a greater relationship with productivity. The objective of this study was to obtain the CND norms for high-yielding populations of potato crops. For this, 587 samples were used from 21 experimental areas in the state of São Paulo, Brazil to correlate the leaf nutrient contents and the yields of potato crops. Crops with yields higher than 48,993.24 kg ha−1 were considered to have high yields, and the Mahalanobis distance separated the balanced samples from the nutritionally unbalanced ones. Thus, the CND-ilr method generated the norms and classified the 587 samples as nutritionally balanced with a high yield (5% of the total), nutritionally unbalanced with a low yield (92%), nutritionally unbalanced with a high yield (0.3%), or nutritionally balanced with a low yield (2.7%), with accuracy, sensitivity, specificity, NPV, and PPV scores of 96.9, 97.1, 93.6, 64.4, and 99.6%, respectively.-
Descrição: dc.descriptionDepartment of Plant Production São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Crop Science São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Agronomy and Natural Resources São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Soil Water and Climate University of Minnesota-
Descrição: dc.descriptionTimac Agro Industria e Comércio de Fertilizantes Ltda.-
Descrição: dc.descriptionMcCain Brasil Alimentos Ltda.-
Descrição: dc.descriptionDepartment of Plant Production São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Crop Science São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Agronomy and Natural Resources São Paulo State University (Unesp)-
Idioma: dc.languageen-
Relação: dc.relationAgronomy-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcompositional nutrient diagnosis-
Palavras-chave: dc.subjectnutrient deficiency-
Palavras-chave: dc.subjectnutrient excess-
Palavras-chave: dc.subjectSolanum tuberosum-
Título: dc.titleNutritional Diagnosis of Potato Crops Using the Multivariate Method-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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