Correlação linear e espacial entre a produtividade do feijoeiro e atributos físicos de um LATOSSOLO VERMELHO Distroférrico de Selvíria, Estado de Mato Grosso do Sul

Martins, Mariana Ventura; Carvalho, Morel de Passos e; Andreotti, Marcelo; Montanari, Rafael

doi:10.4025/actasciagron.v31i1.6641

Cited by 21 publications

(32 citation statements)

References 3 publications

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“…Thus, in Figure 1, is the map of kriging bean grain productivity (PGB) which presented the highest values (2,160-2,665 kg ha -1 ) located mostly in the central region of the map. On the other hand, in the other regions, this productivity ranged from 1,487-1,992 kg ha -1 , corroborating with the values found by Martins et al (2009) in which were of 2,595-3,379 kg ha -1 .…”

Section: Still Onsupporting

confidence: 78%

“…However, all were significant at 5% probability by normality test of Shapiro and Wilk, since such a likelihood ranged from 0.055 and 0.850 (Table 1). Though, the normal frequency distribution obtained for such attributes, as the magnitudes of the coefficients of skewness and kurtosis were in general Kitamura et al (2007) and Martins et al (2009), which were 2,594 kg ha -1 . However, they were 21.7% and 31.1% bigger than the Roque et al (2008) and Carvalho et al (2006), respectively, which were 1,809 and 1,679 kg ha -1 .…”

Section: Resultsmentioning

confidence: 99%

“…With the emergence of the precision agriculture, lately in Brazil the study of geostatistics in respect of soil attributes and the productivity of the bean has been increasingly intensifying Santos et al, 2005;Carvalho et al, 2006;Kitamura et al, 2007;Roque et al, 2008;Martins et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

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Relations between the yield of bean (Phaseolus vulgaris L.) and chemical attributes of an Acrustox under no-tillage

Montanari

Carvalho

Silva

et al. 2013

J. Soil Sci. Plant Nutr.

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Relations between the yield of bean (Phaseolus vulgaris L.) and chemical attributes of an Acrustox under no-tillage AbstractIn crop year 2006/07, in Selvíria, MS, Brazil, were analyzed the productivity of beans because of the chemical attributes of an Acrustox cultivated under conditions of high technological level of management by no-tillage irrigated with pivot central. The objective was to select, among the attributes studied soil, the one with the best representation to explain the variability of agricultural productivity. Geostatistical grid was installed to collect data from soil and plant, with 117 sampling points in an area of 2,025 m 2 and homogeneous slope of 0.055 m m -1 . From the standpoint of linear and spatial bean yield was respectively explained in terms of P and soil pH. So much for the values of phosphorus (P) in the intermediate layer and subsurface between 24-26 mg dm -3 , as well as for Hydrogen (pH) in the surface layer between 5.0 to 5.4, resulted in sites with the most high yield (2,160-2,665 kg ha -1 ).

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Section: Still Onsupporting

confidence: 78%

Section: Resultsmentioning

confidence: 99%

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Relations between the yield of bean (Phaseolus vulgaris L.) and chemical attributes of an Acrustox under no-tillage

Montanari

Carvalho

Silva

et al. 2013

J. Soil Sci. Plant Nutr.

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“…The soil attributes also showed r 2 ranging between high (0.700) and very high (0.972), SDE ranging between low (32.1%) and very high (85.3%) and angular coefficients between 0.555 and 1.014. These data were very similar to those obtained by Martins et al (2009) and Lima et al (2010), when studying bean and eucalyptus cultures, as well as soil physical and chemical attributes (Table 2 and Figure 2). …”

Section: Resultssupporting

confidence: 76%

“…Recently, some studies have been conducted in order to investigate the spatial relationship between the soil attributes (secondary) and crop productivity (main), observing geostatistical ranges from 13.9 to 169.0 m. Some of the referred studies were developed by Martins et al (2009), Lima et al (2010) and Dalchiavon et al (2011b), respectively, for bean, eucalyptus and soybean crops.…”

Section: Introductionmentioning

confidence: 99%

Sugarcane productivity correlated with physical-chemical attributes to create soil management zone

et al. 2013

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RESUMO Produtividade de cana-de-açúcar correlacionada com atributos físico-químicos do solo visando à criação de zonas de manejoA importância socioeconômica da cana-de-açúcar para o Brasil é inquestionável por se tratar de matéria-prima destinada à produção de etanol e açúcar. A correta intervenção espacial na administração da lavoura decorrente das zonas de manejo do solo aumenta sua produtividade e a lucratividade agrícola. No ano de 2009, no município de Suzanápolis, no Estado de São Paulo (20° 28' 10'' S lat.; 50° 49' 20'' W long.), foram empregadas correlações (espaciais e de Pearson) entre atributos da cana-de-açúcar e alguns físico-químicos de um Argissolo Vermelho eutrófico, visando encontrar aquele que melhor se correlacionasse com a produtividade agrícola. Para tanto, instalou-se a malha geoestatística para a coleta de dados do solo e da planta, com 120 pontos amostrais, num talhão de 14,6 ha com a canade-açúcar de segundo corte. A população de plantas e o teor de matéria orgânica do solo, por evidenciarem substanciais correlações, lineares e espaciais, com a produtividade de colmos foram indicadores de zonas de manejo fortemente associados à referida produtividade.Palavras-chave: agricultura de precisão, geoestatística, manejo e conservação do solo, Saccharum spp., variabilidade espacial. The socioeconomic importance of sugar cane in Brazil is unquestionable because it is the raw material for the production of ethanol and sugar. The accurate spatial intervention in the management of the crop, resulting zones of soil management, increases productivity as well as its agricultural yields. The spatial and Person's correlations between sugarcane attributes and physico-chemical attributes of a Typic Tropustalf were studied in the growing season of 2009, in Suzanápolis, State of São Paulo, Brazil (20°28'10'' S lat.; 50°49'20'' W long.), in order to obtain the one that best correlates with agricultural productivity. Thus, the geostatistical grid with 120 sampling points was installed to soil and data collection in a plot of 14.6 ha with second crop sugarcane. Due to their substantial and excellent linear and spatial correlations with the productivity of the sugarcane, the population of plants and the organic matter content of the soil, by evidencing substantial correlations, linear and spatial, with the productivity of sugarcane, were indicators of management zones strongly attached to such productivity.

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Produtividade do Feijoeiro Correlacionada com Atributos Físicos do Solo sob Plantio Direto

Zambianco¹,

Carvalho²,

Gioia³

et al. 2009

Anais Do I Simpósio De Geoestatística Aplicada Em Ciências Agrárias

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Correlação linear e espacial entre a produtividade do feijoeiro e atributos físicos de um LATOSSOLO VERMELHO Distroférrico de Selvíria, Estado de Mato Grosso do Sul

Cited by 21 publications

References 3 publications

Relations between the yield of bean (Phaseolus vulgaris L.) and chemical attributes of an Acrustox under no-tillage

Relations between the yield of bean (Phaseolus vulgaris L.) and chemical attributes of an Acrustox under no-tillage

Sugarcane productivity correlated with physical-chemical attributes to create soil management zone

Produtividade do Feijoeiro Correlacionada com Atributos Físicos do Solo sob Plantio Direto

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