Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon

Detalhes bibliográficos
Ano de defesa: 2014
Autor(a) principal: Cezana, Diego Capucho
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Mestrado em Agricultura Tropical
UFES
Programa de Pós-Graduação em Agricultura Tropical
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
63
Link de acesso: http://repositorio.ufes.br/handle/10/8240
Resumo: Precision agriculture brought tools that allow us to consider the plants a crop, not as a homogeneous environment, but in all its variability. Tools such as kriging the semivariogram and enable the construction of maps by interpolation of sample points that have spatial dependency between them, thereby causing, if known points in the sampling grid , without the need for sampling. The objective of applying geostatistics to coffee crop and investigate the spatial variability of attributes related to plant productivity, foliar N, P, K, Ca, Mg, Fe, Zn, Cu, Mn and B making estimates using the kriging technique presumes spatial variability and identify interrelationships of these attributes in space. The study was conducted on a commercial crop Conilon coffee variety called Bamburral, under irrigation, micro spray, in São Mateus state of Espírito Santo - Brazil. The experimental area has dimensions of 100x115 m, where we sampled a grid of 100 points with a minimum distance of 2 m between them. The crop productivity was estimated by harvesting a plant every sample point. The attributes studied showed moderate spatial dependence structure, the spherical model being the best fit for all variables. The greatest variability was obtained by productivity in season 1 (CV 66.66%) and the lowest for the season 1 also N (CV 9.21%). Both variables were normally distributed, with a range of 14,31 and 44,0 m, respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two seasons we observed a moderate CV, being in season 1, following 30,77; 19,02; 37,36; 32,75 and 37,21 respectively in season 2 the following 37,62; 32,20; 24,62; 32,30; 17,30 respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two periods was classified as moderate. The K, Ca, Mg and S macronutrients in season 1 were classified as moderate while the N and P showed low CV, then 2 moderate CV was presented by P, Ca, Mg and S and low CV was presented by N and K.