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Barbieri,João D.; Dallacort,Rivanildo; Faria Junior,Cleonir A.; Freitas,Paulo S. L. de; Carvalho,Marco A. C. de. |
ABSTRACT: The objective of this study was to define the best irrigation level in a sprinkler system, submitted to nitrogen doses in covering in the municipality of Tangará da Serra - MT, for two cultivars of peanut (Arachis hypogaea L.). The experiment was carried out in the experimental field of the State University of Mato Grosso (UNEMAT), located geographically in latitude 14°39′S; Longitude 57°25′W, at 440 meters of altitude. The climate is classified as tropical humid megathermal (Aw), with annual average rainfall of 1,830 mm and average temperature of the air 24.4°C. The soil is classified as Dystroferric Red Latosol. The experimental design was in randomized blocks where 4 levels (30, 70, 110 and 150% of the reference evapotranspiration, ET0) were... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Evapotranspiration; Correlation; Productivity. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000601126 |
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Fenner,William; Dallacort,Rivanildo; Dalchiavon,Flávio C.; Santi,Adalberto; Silva,Fabrício S. da; Barbieri,João D.. |
ABSTRACT The aim of this study was the agroclimatic zoning of common bean in the Mato Grosso state in the second harvest. Data from 38 meteorological stations in the state and in neighboring regions were used. The zoning was based on water requirement satisfaction index (WRSI) for the common bean crop, for the three levels of available water capacity of the soils of the state (30, 50 and 75 mm) in 12 sowing periods. After generating the indexes for the municipalities, the variograms of the data were fitted in order to enable interpolation of the data for the state. Data were entered into ArcGISTM 10.0 and the ordinary kriging interpolation method was used. After generating the maps, they were clipped to the Mato Grosso State and classified as the following... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Phaseolus vulgaris; Geotechnology; Geostatistics; Sowing dates. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000700476 |
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