2010
DOI: 10.1590/s0100-06832010000600005
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Aspectos da produtividade do feijão correlacionados com atributos físicos do solo sob elevado nível tecnológico de manejo

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Cited by 50 publications
(79 citation statements)
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“…Os modelos esféricos e exponenciais apresentam-se como teóricos mais comuns aos atributos do solo e da planta (Trangmar et al, 1985;Montanari et al, 2010). Segundo Grego & Vieira (2005), o modelo matemático esférico é o que predomina nos trabalhos em ciência do solo.…”
Section: Resultsunclassified
See 1 more Smart Citation
“…Os modelos esféricos e exponenciais apresentam-se como teóricos mais comuns aos atributos do solo e da planta (Trangmar et al, 1985;Montanari et al, 2010). Segundo Grego & Vieira (2005), o modelo matemático esférico é o que predomina nos trabalhos em ciência do solo.…”
Section: Resultsunclassified
“…Quando realizado o semivariograma cruzado entre os atributos da planta, foram encontradas correlações espaciais negativas entre MSr e N e MSr e PB, em que se observou uma forte dependência espacial (ADE = 99,9 e 99,8%, respectivamente); o modelo ajustado para ambos foi o gaussiano (Tabela 3 e Figura 2). Montanari et al (2010) encontraram semivariogramas cruzados para a produtividade de feijão, em função de um atributo químico do solo, que foi o potencial hidrogeniônico para as profundidades de 0,00-0,10 e 0,10-0,20 m (Figura 2).…”
Section: Resultsunclassified
“…The statistical analysis was performed using the Statistical Analysis System (SAS) software and an Excel spreadsheet, following the procedures by Montanari et al (2010) and Dalchiavon et al (2011b). The descriptive analysis of the attributes was performed by calculating the mean, median, minimum and maximum, standard deviation, coefficient of variation, kurtosis, asymmetry, and the frequency distribution analysis by the ShapiroWilk test.…”
Section: Methodsmentioning
confidence: 99%
“…The soil variability analysis using geostatistics enables the adjustment of the semivariogram for georeferenced data with spatial dependence. However, with the affinity between the spatial dependencies of any two attributes, modeled by crossed semivariogram, the kriging map for the main attribute can be obtained with difficulty, and it is of greater interest due to the secondary attribute, which is usually easy to obtain (Molin et al, 2007;Montanari et al, 2010;Siqueira et al, 2010;Dalchiavon et al, 2011a;Marin & Carvalho, 2012). Then, from the second attribute, more site-specific soil management for the primary attribute could be obtained.…”
Section: Introductionmentioning
confidence: 99%
“…From this a kriging map can be drawn for each soil or plant property, representing the spatial variability of the data. However, in the case of correlations between spatial dependencies of any two properties, modeled by the cross semivariogram, a cokriging map can be constructed of the main property, difficult to measure and of greater interest, by means of the secondary property, which is usually easier to obtain Montanari et al, 2010;Dalchiavon et al, 2011.…”
Section: Introductionmentioning
confidence: 99%