2016
DOI: 10.13083/1414-3984/reveng.v24n4p338-349
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Distribuição Espacial das Propriedades do Solo, Produção do Capim-Marandu com a Intensidade de Pastejo

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Cited by 2 publications
(4 citation statements)
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“…The spatial dependence degree (SDD) influences the kriging method, as the larger the SDD, the better the kriging estimation for nonsampled sites (LIMA et al, 2010). Alencar et al (2016) assessed the spatial distribution of soil attributes and pasture and similarly found high SDD values classified as strong and moderate.…”
Section: Resultsmentioning
confidence: 96%
“…The spatial dependence degree (SDD) influences the kriging method, as the larger the SDD, the better the kriging estimation for nonsampled sites (LIMA et al, 2010). Alencar et al (2016) assessed the spatial distribution of soil attributes and pasture and similarly found high SDD values classified as strong and moderate.…”
Section: Resultsmentioning
confidence: 96%
“…In contrast, the area with mombaça grass showed smaller values of range, indicating that this area has greater variability, thus being more heterogeneous. Thus, this greater variability in the area of mombaça grass may be related to the greater grazing intensity (Alencar et al, 2016).…”
Section: Discussionmentioning
confidence: 98%
“…Kriging maps allow the establishment of land use and management criteria in isolation for each variable evaluated, making it possible to improve the use of the area, the nutrition of pastures (Alencar et al, 2016), decreased production costs and quick and certain decision making, enabling greater productivity and also the conservation of the environment through less use of pesticides, in addition to providing more detailed and useful records of the productive area .…”
Section: Discussionmentioning
confidence: 99%
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