Levantamento da qualidade da bebida do café e avaliação do estado nutricional dos cafeeiros do Alto Jequitinhonha, Minas Gerais, através do DRIS

Amaral, Cristiany Silva; Silva, Enilson de Barros; Guimarães, Paulo Tácito Gontíjo; Pinto, Nísia Andrade Villela Dessimoni

doi:10.1590/s1413-70542010000500016

Cited by 11 publications

(9 citation statements)

References 5 publications

(9 reference statements)

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“…Studies have confirmed that analyses of coffee fertilization systems must involve joint information of both the soil, and the nutritional status of plants (Farnezi et al, 2010;Silva & Lima, 2012). For Silva & Lima (2012), the success of coffee management programs depends, in addition to the above-mentioned factors, on the existence of spatial variation of the elements that control and, or, influence the productivity of the crop.…”

Section: Introductionmentioning

confidence: 99%

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Silva

Lima

2014

Rev. Bras. Ciênc. Solo

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SUMMARYInformation underlying analyses of coffee fertilization systems should consider both the soil and the nutritional status of plants. This study investigated the spatial relationship between phosphorus (P) levels in coffee plant tissues and soil chemical and physical properties. The study was performed using two arabica and one canephora coffee variety. Sampling grids were established in the areas, and the points georeferenced. The assessed properties of the soil were levels of available phosphorus (P-Mehlich), remaining phosphorus (P-rem) and particle size, and of the plant tissue, phosphorus levels (foliar P). The data were subjected to descriptive statistical analysis, correlation analysis, cluster analysis, and probability tests. Geostatistical and trend analyses were only performed for pairs of variables with significant linear correlation. The spatial variability for foliar P content was high for the variety Catuai and medium for the other evaluated plants. Unlike P-Mehlich, the variability in P-rem of the soil indicated the nutritional status of this nutrient in the plant.Index terms: coffee, remaining P, cokriging, geostatistics. RESUMO: ESTIMATIVA ESPACIAL DO FÓSFORO FOLIAR EM DIFERENTES ESPÉCIES DO GÊNERO COFFEA, COM BASE NAS PROPRIEDADES DO SOLOA análise dos sistemas de fertilização do cafeeiro deve envolver informações conjuntas de solo e do estado nutricional das plantas. Este trabalho objetivou estudar a relação espacial entre os teores de P do tecido vegetal de cafeeiros e os atributos químicos e físicos do solo. Este estudo foi realizado com duas variedades de café arábica e uma variedade de café conilon. Foram construídas grades amostrais nas áreas, sendo os pontos georreferenciados. Avaliaramse, do solo, os teores de P disponível (P-Mehlich) e de P remanescente (P-rem) e a granulometria, enquanto do tecido vegetal, os teores de P (P foliar). Os dados foram submetidos a: análise estatística descritiva, de correlação, análise de agrupamentos e testes de probabilidade. As análises de tendência e as geoestatísticas foram realizadas apenas para os pares de variáveis que apresentaram correlação linear significativa. A variabilidade espacial dos teores foliares de P é alta para a variedade Catuaí, sendo média para os demais cultivares avaliados. A variabilidade do P-rem do solo refletiu o estado nutricional quanto a esse nutriente na planta, o que não ocorreu com o P-Mehlich.Termos de indexação: café, P remanescente, cokrigagem, geoestatística.

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Section: Introductionmentioning

confidence: 99%

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Silva

Lima

2014

Rev. Bras. Ciênc. Solo

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“…To achieve high yields, adequate fertilizer applications should be based mainly on limiting nutrients and also in the nutritional diagnosis of the plant (Silva et al, 2012). Farnezi et al (2010) argue that the greatest advantage in studying plant nutrition is to consider the plant itself as an extractor and to allow a direct evaluation of its nutritional status, assessing the contents and the relationships between nutrients. Because the coffee tree has a high nutrient demand, mainly for flowering and fruit-setting, the nutritional imbalance will compromise significantly the bean yield and crop productivity (Furlani Jr. and Paul, 2010).…”

Section: Introductionmentioning

confidence: 99%

Yield mapping of arabic coffee and their relationship with plant nutritional status

Silva

Lima

Bottega

2013

J. Soil Sci. Plant Nutr.

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The aim of this study was to model the spatial variability of the nutritional status of arabic coffee using leaf macro and micronutrient contents and relate it to drop in bean yield, bark percentage and crop yield. The experiment was conducted in a plantation of arabic coffee variety Catuaí located in the Zona da Mata of Minas Gerais State. Leaf nutrient contents, cherry coffee production, drop in bean yield, yield of benefited coffee and bark percentage were determined. Data were analyzed using classical statistical methods to find the relationship between nutrients and yield variables and then examined by geostatistical analysis. The yield variables and leaf nutrients that were found related showed spatial dependence without random distribution. Nutritional imbalance was detected in the studied coffee crop expressed by the deficiency or excess of some nutrients in the plant tissue. Ca provided the smallest drop in bean yield while the leaf contents of B and Zn had an opposite effect on the production and yield of coffee.

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“…A análise química foliar vem sendo usada para detectar respostas de cafeeiros aos vários tipos de manejo, possibilitando interpretar, de maneira mais eficiente, as relações entre nutrientes na planta, e interferir no sistema, elevando as possibilidades de melhores resultados produtivos (Farnezi et al, 2010). Segundo Corrêa et al (2001), a maior vantagem no estudo da nutrição das plantas está no fato de se considerar a própria planta como extrator dos nutrientes no solo e permitir uma avaliação direta de seu estado nutricional e, desse modo, avaliar as concentrações e as relações entre nutrientes.…”

Section: Introductionunclassified

Avaliação da variabilidade do estado nutricional e produtividade de café por meio da análise de componentes principais e geoestatística

Silva¹,

Lima²

2012

Rev. Ceres

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Assessment of the variability of the nutritional status and yield of coffee by principal component analysis and geostatisticsEvaluation of plant nutritional status brings several contributions to the coffee crop, especially when considering the spatial variation in the production fields. This experiment aimed to analyze the spatial variability in the nutritional status and yield of arabic coffee, using the principal component analysis (PCA) and geostatistics. The experiment was conducted in a grid of 50 sampling points in a field of Coffea arabica L., cv. Catuaí. Leaf samples were taken for macro and micronutrient analyses, and fruit were collected for yield evaluation. Data were subjected to PCA for transformation of nutrient values into new variables and then submitted to geostatistics to quantify the degree of spatial dependence of the main components and yield. The combined use of PCA and geostatistics allowed the efficient study of the nutritional status of the plants. The crop showed nutritional imbalance, with excess N and Cu limiting yield even in areas with adequate leaf concentration of the other nutrients. Determinar o estado nutricional das plantas traz diversas contribuições à cafeicultura, principalmente quando esse estado é avaliado, considerando-se a variação espacial existente nos campos de produção. Este experimento objetivou analisar a variabilidade espacial do estado nutricional e da produtividade de café arábica, utilizando técnicas de análise de componentes principais (ACP) e geoestatística. O experimento foi desenvolvido em uma malha de 50 pontos amostrais, montada em uma lavoura de Coffea arabica L., variedade Catuaí. Realizaram-se amostragens foliares para avaliação dos macro e micronutrientes e coletas de frutos para o levantamento da produtividade. Os dados foram submetidos à ACP, para transformação dos valores de nutrientes em novas variáveis e, em seguida, submetidos à geoestatística, para quantificar o grau de dependência espacial dos componentes principais e da produtividade. A aplicação conjunta de ACP e geoestatística permitiu estudar de forma eficiente o estado nutricional das plantas. A lavoura estudada apresenta desequilíbrio nutricional, sendo o excesso de N e de Cu limitantes à produtividade da cultura, mesmo em locais com adequada concentração foliar dos demais nutrientes.Palavras-chave: análise multivariada, nutrição vegetal, análise foliar, Coffea arabica L.

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Levantamento da qualidade da bebida do café e avaliação do estado nutricional dos cafeeiros do Alto Jequitinhonha, Minas Gerais, através do DRIS

Cited by 11 publications

References 5 publications

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Yield mapping of arabic coffee and their relationship with plant nutritional status

Avaliação da variabilidade do estado nutricional e produtividade de café por meio da análise de componentes principais e geoestatística

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