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      Norms establishment of the Diagnosis and Recommendation Integrated System (DRIS) for nutritional diagnosis of sugarcane Translated title: Estabelecimento de normas do Sistema Integrado de Diagnose e Recomendação (DRIS) para a diagnose nutricional da cana-de-açúcar

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          Abstract

          The objectives of this study were to establish DRIS norms for sugarcane crop, to compare mean yield, foliar nutrient contents and variance of nutrient ratios of low- and high-yielding groups and to compare mean values of nutrient ratios selected as the DRIS norms of low- and high-yielding groups. Leaf samples (analyzed for N, P, K, Ca, Mg, S, Cu, Mn and Zn contents) and respective yields were collected in 126 commercial sugarcane fields in Rio de Janeiro State, Brazil and used to establish DRIS norms for sugarcane. Nearly all nutrient ratios selected as DRIS norms (77.8%) showed statistical differences between mean values of the low- and high-yielding groups. These different nutritional balances between the low- and high-yielding groups indicate that the DRIS norms developed in this paper are reliable. The DRIS norms for micronutrients with high S²l /S²h ratio and low coefficient of variation found can provide more security to evaluate the micronutrient status of sugarcane.

          Translated abstract

          Os objetivos deste trabalho foram estabelecer normas DRIS para a cultura da cana-de-açúcar, comparar médias de produtividade, médias de teores foliares de nutrientes e variâncias das razões entre nutrientes dos grupos de baixa e alta produtividade e comparar valores médios das razões selecionadas como normas DRIS dos grupos de baixa e alta produtividade. Amostras foliares (analisadas quanto a N, P, K, Ca, Mg, S, Cu, Mn e Zn) e respectivas produtividades foram coletadas em 126 lavouras comerciais, em Campos dos Goytacazes, RJ, e usadas para estabelecer as normas DRIS para a cana-de-açúcar. As médias de produtividade e de teores foliares não foram similares entre os grupos de baixa e alta produtividade. As razões entre variâncias dos grupos de alta e baixa produtividade foram diferentes. A maioria das razões entre nutrientes selecionadas como normas DRIS apresentaram médias estatisticamente diferentes entre os grupos de baixa e alta produtividade. Estes diferentes equilíbrios nutricionais entre os grupos de alta e baixa produtividade indicam que as normas DRIS estabelecidas neste trabalho são confiáveis. As normas DRIS obtidas com valores altos de razão entre variâncias dos grupos de alta e baixa produtividade e baixos coeficientes de variação oferecem maior segurança para avaliar o estado nutricional da cana-de-açúcar em relação aos micronutrientes.

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          Soil chemical analysis

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            Diagnosis and recommendation integrated system (DRIS)

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              The Diagnosis and Recommendation Integrated System (DRIS)

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                pab
                Pesquisa Agropecuária Brasileira
                Pesq. agropec. bras.
                Embrapa Informação Tecnológica (Brasília )
                1678-3921
                February 2003
                : 38
                : 2
                : 277-282
                Affiliations
                [1 ] Fundação Chapadão Brazil
                [2 ] Universidade Estadual do Norte Fluminense Brazil
                Article
                S0100-204X2003000200015
                10.1590/S0100-204X2003000200015
                0b1d39f5-73df-4191-a285-50f044a06e43

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0100-204X&lng=en
                Categories
                AGRICULTURE, DAIRY & ANIMAL SCIENCE
                AGRICULTURE, MULTIDISCIPLINARY

                Animal agriculture,General agriculture
                Saccharum officinarum,foliar nutrient content,plant analysis,nutritional status,productivity,teor foliar de nutriente,análise vegetal,estado nutricional,produtividade

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