Assessing the predictive capability of N, P, and B diagnosis in cotton crop

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
Autor(es): dc.contributorUniversidade Federal do Mato Grosso do Sul-
Autor(es): dc.creatorTraspadini, Edilaine Istéfani Franklin-
Autor(es): dc.creatorWadt, Paulo Guilherme Salvador-
Autor(es): dc.creatorde Prado, Renato Mello-
Autor(es): dc.creatorFurtado Oliveira, Douglas-
Autor(es): dc.creatorCampos, Cid Naudi Silva-
Data de aceite: dc.date.accessioned2025-08-21T15:29:10Z-
Data de disponibilização: dc.date.available2025-08-21T15:29:10Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1038/s41598-024-67593-7-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/305007-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/305007-
Descrição: dc.descriptionThe compositional nutrient diagnosis—CND method is a standard tool for evaluating plant nutritional status. Adjustments are crucial to elevate accuracy. The effectiveness of such methodological refinements should be rigorously assessed through accuracy tests that are benchmarked against the prescient diagnostic analysis—PDA methodology. The objective of this investigation was to refine the CND technique for a more precise evaluation of N, P, and B nutrient status in cotton. The study’s database encompasses 144 data points pertaining to crop yield and foliar nutrient concentrations from cotton plantations in the Cerrado biome of Brazil. Subsequently, the CND norms were established through rigorous calibration. Three separate nutrient-dose trials, each featuring four levels of N, P and B, were carried out to assess plant true nutritional status. Adjustments were made to the nutrient responsiveness range—NRr (0.5 and 1.0), while yield response—YR were scrutinized at threshold levels (5% and 10%). The prerequisites for achieving high diagnostic accuracy were nutrient specific. For N, maximal accuracy was linked only to the YR parameter (YR = 10%). For P, the most precise outcomes were attained with a NRr = 0.5 and YI = 5%. For B, highest diagnostic accuracy when the NRr = 1.0 and YI = 10%. These insights highlight the need to fine-tune the CND method for reliable nutritional evaluations and cotton crop productivity optimization.-
Descrição: dc.descriptionUniversidade Estadual Paulista-
Descrição: dc.descriptionEmpresa Brasileira de Pesquisa Agropecuária-
Descrição: dc.descriptionUniversidade Federal do Mato Grosso do Sul-
Descrição: dc.descriptionUniversidade Estadual Paulista-
Idioma: dc.languageen-
Relação: dc.relationScientific Reports-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAccuracy-
Palavras-chave: dc.subjectCND method-
Palavras-chave: dc.subjectDiagnostic analysis-
Palavras-chave: dc.subjectFoliar diagnosis-
Palavras-chave: dc.subjectGossypium hirsutum-
Palavras-chave: dc.subjectNet yield productivity-
Título: dc.titleAssessing the predictive capability of N, P, and B diagnosis in cotton crop-
Tipo de arquivo: dc.typelivro digital-
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