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| Bortoluzzi,Mateus Possebon; Heldwein,Arno Bernardo; Trentin,Roberto; Lucas,Dionéia Daiane Pitol; Righi,Evandro Zanini; Leonardi,Mateus. |
| ABSTRACT: The aim of this study was to identify soybean sowing dates on which there was low water surplus risk. The crop was raised on a Haplic Planosol soil in the Central Depression of Rio Grande do Sul, Brazil. Soybean development simulations and daily water balances were calculated for different sowing dates from August 1968 to July 2012. Water surplus data was subjected to BoxPlot analyses and Scott-Knott tests at a 5% error probability. Exponential, gamma, lognormal, normal and Weibull functions were tested and the best fits to the data were obtained for both subperiods and total cycle. The highest number of fits for the development cycle and subperiods were obtained using the gamma and weibull functions, respectively. For sowing carried out after... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Water balance; Numerical analysis; Probability distribution function. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000200205 |
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