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Ciencia del suelo
versión On-line ISSN 1850-2067
Resumen
DE SAN CELEDONIO, Romina P et al. Riesgo De Anegamiento En Trigo (Triticum Aestivum L) Para Distintas Localidades De La Región Triguera Argentina. Cienc. suelo [online]. 2014, vol.32, n.2, pp.233-246. ISSN 1850-2067.
In Argentina, wheat production is affected with some regularity by waterlogging events, whose frequency depends on each particular year and area. However, there are few information about which is the probability of occurrence of waterlogging in different locations of the Argentinean wheat production area. The objective of this work was to quantify the probability of occurrence of waterlogging during the wheat crop cycle in different locations of the wheat belt. To fulfill the objective, 33 growing seasons of wheat crop were simulated using the CERES-Wheat model v. 3.5, with a combination of five locations (Bordenave, Capitán Sarmiento, Gualeguaychú, Junín y Tandil), two sowing dates (early and late sowing date), and three soil water content at sowing (low, medium and high). The average probability of waterlogging during the crop cycle was from 7 to 24%, depending on the location. However, during the period of more sensitivity to waterlogging (i.e. terminal spikelet (TS) - flowering (Fl)), the probability was, in general, higher than that considered for the whole cycle. Thus, considering an early sowing date and medium soil water availability at sowing, in 50% of the years between 2 and 7 days of waterlogging is expected during TS-Fl period, depending on the location. The number of days of waterlogging can be greater or lesser depending on the soil water content at sowing. Variations in sowing date did not modify the probability of waterlogging. However, for a similar number of days of waterlogging, the negative effect on yield would be higher at a late than at an early sowing date. This is due to an increased environmental demand that crop is exposed during a waterlogging at a late sowing date. Therefore, similar number of days of waterlogging in different locations can produce different grain yield losses, as a consequence of differences in the environmental demand among sites.
Palabras clave : Water balance, CERES simulation model, waterlogging sensitivity period, flowering.