Estudo da fertilidade de um Latossolo Vermelho-Amarelo húmico sob cultivo de café arábica por meio de geoestatística

Silva, Samuel de Assis; Lima, Julião Soares de Souza; Souza, Gustavo Soares de

doi:10.1590/s0034-737x2010000400020

Cited by 19 publications

(14 citation statements)

References 10 publications

(9 reference statements)

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“…Silva et al (2010a) working with coffee found similar results, attributing this behavior to the joint action of elements that account for crop yield.…”

Section: Resultsmentioning

confidence: 63%

“…A high ratio of fresh cherry to processed coffee (lower yield) directly affects the final profitability of the production system (Silva et al, 2010a). Medina Filho and Bordignon (2003) discussed that reducing bean yield will lead to the real risk of the operating cost be equivalent to the revenue from the product sale, resulting in the financial unsustainability of the productive system.…”

Section: Introductionmentioning

confidence: 99%

“…The assessment of the spatial variability of coffee nutrition is important for determining management strategies to meet the plant demands and achieve satisfactory production (Silva et al, 2010a).…”

Section: Introductionmentioning

confidence: 99%

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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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“…Silva et al (2010a) working with coffee found similar results, attributing this behavior to the joint action of elements that account for crop yield.…”

Section: Resultsmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

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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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“…Silva et al (2010a) verified that the catuai and catucai species presented spatial variability regarding productivity, and the amounts were higher for catuai variety, as well as the percentage of peel and the yield, of which the variation was only perceptible by using geostatistics, since the average didn't enable to state such difference. According to Mummey et al (2002) geostatistics, in turn, has been used in the past few years as an important tool for modeling and interpretation of the spatial variability of the different features of ground and plant.…”

Section: Introductionmentioning

confidence: 85%

Spatial distribution of physiological quality of Arábica coffee seeds to cultivate Catuai

Lopes¹,

Trigo²,

Lima³

et al. 2014

Idesia

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Brazil stands as the largest coffee producer in the world. However one of the factors capable of undermining the potential of this species is the poor quality of seeds. One tool that is being proposed for use in agriculture is the Geostatistics analysis to verify the existence and quantify the degree of spatial dependence of variables. The seeds were collected in a field with five years of age in an area of 0.8 ha, 50 sampling points. In the laboratory we used a completely randomized design (CRD) with four replicates of 25 seeds per point materialized with the aid of a total station. After removal of the scrolls, the seeds were treated with Captan (Orth Cide) to 0.1% for five minutes and subjected to the following determinations: moisture, germination first count of germination, root length and shoot length. Then the seeds were placed to develop in an incubator at temperature 20-30 °C for 60 days. In the results there was spatial dependence of the quality variables of physiological Catuaí. The lowest range for the variable length of shoot (CPA) and greater range for the variable fresh weight (MFPA).Key words: precision coffee, germination, geostatistical, vigor. RESUMEN

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“…Krigagem ordinária é o método geoestatístico univariado, que tem sido usado no estudo da distribuição espacial de precipitação pluvial para interpolação de pontos não amostrados (Carvalho e Assad, 2005). A extensão multivariada de krigagem, conhecida como co-krigagem, é utilizada quando existe dependência espacial para cada variável em estudo e também entre as variáveis, sendo portanto possível utilizar esta técnica na estimativa de valores não amostrados (Carvalho et al, 2002;Silva et al, 2010). Esta estimativa pode ser mais precisa do que a krigagem de uma variável simples, quando o variograma cruzado mostrar dependência entre as duas variáveis (Vieira, 2000).…”

Section: Dados E Metodologiaunclassified

Número de postos pluviométricos necessários para a estimativa da precipitação mensal no estado do Espírito Santo, Brasil

Silva

Lima

2011

Rev. bras. meteorol.

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RESUMOOs objetivos propostos nesse trabalho foram, determinar a distribuição espacial da precipitação pluvial média mensal no Estado, utilizando a altitude dos postos pluviométricos como co-variável e, determinar o número de postos necessários para mapear a precipitação, considerando a dependência espacial. Os dados para realização desse estudo abrangem séries variando de 33 a 72 anos, totalizando 55 postos pluviométricos. Os dados foram submetidos a uma análise descritiva e geoestatística. A co-krigagem usando a altitude como co-variável apresentou considerável acurácia na estimativa da precipitação. A utilização do alcance do variograma cruzado reduziu o número necessário para 37 postos pluviométricos no Estado, para estudar a precipitação média mensal com dependência espacial. Palavras-Chave: Krigagem, Variograma Cruzado, Número de Amostras. ABSTRACT: NUMBER OF PLUVIOMETRIC GAUGES REQUIRED FOR MONTHLY RAINFALL ESTIMATE OVER THE ESPIRITO SANTO STATE, BRAZIL:The objectives proposed in this study were to determine the spatial distribution of monthly average rainfall in the state, using the altitude of the rain gauge stations as co-variable and determining the number of points necessary to map the precipitation, considering the spatial dependence. The used data in this study include precipitation series ranging from 33 to 72 years, totaling 55 rain gauge stations. The data series were subjected to descriptive analysis and geostatistics. The co-kriging using the altitude as the covariateble showed considerable accuracy in the estimation of precipitation. The Kriging cross variogram showed that 37 rain gauges are enough to characterize the monthly precipitation with spatial dependence over the State.

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Estudo da fertilidade de um Latossolo Vermelho-Amarelo húmico sob cultivo de café arábica por meio de geoestatística

Cited by 19 publications

References 10 publications

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

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

Spatial distribution of physiological quality of Arábica coffee seeds to cultivate Catuai

Número de postos pluviométricos necessários para a estimativa da precipitação mensal no estado do Espírito Santo, Brasil

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