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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Meio-Norte. |
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Data corrente: |
11/10/2024 |
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Data da última atualização: |
05/02/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, H. A. de; ROZANE, D. E.; NATALE, W.; CIPRIANO, P. E.; POMPEU, R. C. F. F.; GUEDES, F. L.; RODRIGUES, H. C. de A.; SOUSA, D. C. de; ANDRADE, H. A. de F.; OLIVEIRA JUNIOR, J. O. L. de; SAGRILO, E. |
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Afiliação: |
HENRIQUE ANTUNES DE SOUZA, CPAMN; DANILO EDUARDO ROZANE, UNIVERSIDADE ESTADUAL DE SÃO PAULO; WILLIAM NATALE, UNIVERSIDADE FEDERAL DE SANTA MARIA; PATRICIANI ESTELA CIPRIANO, UNIVERSIDADE ESTADUAL DE SÃO PAULO; ROBERTO CLAUDIO FERNANDES F POMPEU, CNPC; FERNANDO LISBOA GUEDES, CNPC; HELEN CRISTINA DE ARRUDA RODRIGUES, UNIVERSIDADE ESTADUAL DO PIAUI; DAIANE CONCEIÇÃO DE SOUSA, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; HOSANA AGUIAR DE FREITAS ANDRADE, UNIVERSIDADE FEDERAL DO PIAUÍ; JOSE OSCAR LUSTOSA DE OLIVEIRA JUNIOR, CPAMN; EDVALDO SAGRILO, CPAMN. |
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Título: |
Application of compositional nutrient diagnosis to maize cultivated in tropical soils in Brazilian Semi-Arid. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Communications in Soil Science and Plant Analysis, e2404661, Sep. 2024. |
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DOI: |
10.1080/00103624.2024.2404661 |
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Idioma: |
Inglês |
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Conteúdo: |
Nutritional diagnosis, a technique used to maximize the economic yield of agricultural holdings and to protect the environment, is the focus of this study. Nutrient availability is one of the critical limiting factors in maize grain yield. The study, which aimed to establish and compare the nutritional standards obtained by the Compositional Nutrient Diagnosis (CND) method in maize grown in tropical soils in a semi-arid region, is based on a thorough examination of a database containing information from 198 experimental plots collected between 2011 and 2019 in the semi-arid region of Ceará, Brazil. The evaluation methodology was the multivariate CND calculation method. The mathematical models used to analyze the relationship between the nutrient’s CND-r2 index and leaf concentrations revealed coefficients of determination (R2) for nitrogen (N) and magnesium (Mg) of 0.36 and 0.66, respectively. The other values exceeded 70% (R2 ≥ 0.70), while phosphurus (P), calcium (Ca), cupper (Cu), iron (Fe), and manganese (Mn) showed values above 90% (R2 ≥ 0.90). These results not only highlight the high accuracy of these models in studying the interactions between nutrient coefficients and their leaf concentrations but also reassure the reader about the reliability of the research. The study’s thoroughness instills confidence in the research’s validity. |
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Thesagro: |
Nutrição Vegetal; Nutriente; Zea Mays. |
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Thesaurus Nal: |
Plant micronutrients; Plant nutrition. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02344naa a2200313 a 4500
001 2168019
005 2025-02-05
008 2024 bl uuuu u00u1 u #d
024 7 $a10.1080/00103624.2024.2404661$2DOI
100 1 $aSOUZA, H. A. de
245 $aApplication of compositional nutrient diagnosis to maize cultivated in tropical soils in Brazilian Semi-Arid.$h[electronic resource]
260 $c2024
520 $aNutritional diagnosis, a technique used to maximize the economic yield of agricultural holdings and to protect the environment, is the focus of this study. Nutrient availability is one of the critical limiting factors in maize grain yield. The study, which aimed to establish and compare the nutritional standards obtained by the Compositional Nutrient Diagnosis (CND) method in maize grown in tropical soils in a semi-arid region, is based on a thorough examination of a database containing information from 198 experimental plots collected between 2011 and 2019 in the semi-arid region of Ceará, Brazil. The evaluation methodology was the multivariate CND calculation method. The mathematical models used to analyze the relationship between the nutrient’s CND-r2 index and leaf concentrations revealed coefficients of determination (R2) for nitrogen (N) and magnesium (Mg) of 0.36 and 0.66, respectively. The other values exceeded 70% (R2 ≥ 0.70), while phosphurus (P), calcium (Ca), cupper (Cu), iron (Fe), and manganese (Mn) showed values above 90% (R2 ≥ 0.90). These results not only highlight the high accuracy of these models in studying the interactions between nutrient coefficients and their leaf concentrations but also reassure the reader about the reliability of the research. The study’s thoroughness instills confidence in the research’s validity.
650 $aPlant micronutrients
650 $aPlant nutrition
650 $aNutrição Vegetal
650 $aNutriente
650 $aZea Mays
700 1 $aROZANE, D. E.
700 1 $aNATALE, W.
700 1 $aCIPRIANO, P. E.
700 1 $aPOMPEU, R. C. F. F.
700 1 $aGUEDES, F. L.
700 1 $aRODRIGUES, H. C. de A.
700 1 $aSOUSA, D. C. de
700 1 $aANDRADE, H. A. de F.
700 1 $aOLIVEIRA JUNIOR, J. O. L. de
700 1 $aSAGRILO, E.
773 $tCommunications in Soil Science and Plant Analysis, e2404661, Sep. 2024.
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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