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	Provedor de dados Scientia Agricola (1) Ciência e Agrotecnologia (1) Ciência Rural (1) Autor Ajayi,Ayodele Ebenezer (1) Andrade,Maria Luiza de Carvalho (1) Dias Junior,Moacir de Souza (1) Guimarães,Paulo Tácito Gontijo (1) Iori,Piero (1) Oliveira,Antonio Carlos Baião de (1) Pais,Paula Sant'Anna Moreira (1) Pereira,Antonio Alves (1) Pinto,Francisco de Assis de Carvalho (1) Queiroz,Daniel Marçal de (1) Rocha,Rodrigo Barros (1) Santos,Fábio Lúcio (1) Santos,Nerilson Terra (1) Souza,Flávio de França (1) Teixeira,Alexsandro Lara (1) Valente,Domingos Sárvio Magalhães (1) Mais... Palavra-chave Coffea Arabica L. (3) Agricultural traffic (1) Fuzzy k-means (1) Geostatistics (1) Heat tolerance (1) High temperatures (1) Homogeneity test (1) Maturation cycle (1) Precompression stress (1) Soil sensors (1) Mais... Tipo do documento Info:eu-repo/semantics/article (3) Ano 2015 (1) 2013 (1) 2012 (1) País Brazil (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Comparison of field and laboratory models of the load bearing capacity in coffee plantations Ciência e Agrotecnologia Iori,Piero; Dias Junior,Moacir de Souza; Ajayi,Ayodele Ebenezer; Guimarães,Paulo Tácito Gontijo; Pais,Paula Sant'Anna Moreira; Andrade,Maria Luiza de Carvalho. Precompression stress is an important property for assessment of tropical soil structure sustainability and is often determined in laboratory tests. The objective of this study was to compare the load bearing capacity models obtained with controlled moisture in laboratory and those obtained with natural field moistures determined a long one year. The evaluation of soil structural sustainability follows four distinct steps: soil sampling in the field, uniaxial compression test of the samples in the laboratory, determination of precompression stress and estimation of the load bearing capacity models. Laboratory estimates of precompression stress were obtained from moisture controlled in laboratory and from natural moisture determined in a field a long one... Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural traffic; Coffea Arabica L.; Homogeneity test; Precompression stress. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000200003 Selection of arabica coffee progenies tolerant to heat stress Ciência Rural Teixeira,Alexsandro Lara; Souza,Flávio de França; Pereira,Antonio Alves; Oliveira,Antonio Carlos Baião de; Rocha,Rodrigo Barros. Due to high temperatures, practically all coffee farms in the state of Rondonia are of the C. canephora species. Thus, importing arabica coffee from other states becomes necessary for composition of blends, as well as for the specialty or gourmet coffee market. The purpose of this study was to select arabica coffee genotypes that exhibit satisfactory agronomic performance under high temperature conditions. The experiment was conducted in OuroPreto do Oeste, RO, Brazil, with mean annual temperature of 25.8°C and mean annual rainfall of 2300mm year-1. The experiment was composed of 114 arabica coffee genotypes, with 103 progenies and eleven control cultivars, provided by EPAMIG. A randomized block experimental design was used with three replications, spacing... Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea Arabica L.; High temperatures; Heat tolerance; Maturation cycle. Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000701228 Definition of management zones in coffee production fields based on apparent soil electrical conductivity Scientia Agricola Valente,Domingos Sárvio Magalhães; Queiroz,Daniel Marçal de; Pinto,Francisco de Assis de Carvalho; Santos,Nerilson Terra; Santos,Fábio Lúcio. Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability... Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea Arabica L.; Geostatistics; Fuzzy k-means; Soil sensors. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162012000300001 Registros recuperados: 3 Primeira ... 1 ... Última

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