López-Ovejero Ramiro Fernando, y Garcia Axel Garcia, de Carvalho Saul Jorge P, Christoffoleti Pedro J, Neto Durval Dourado, Martins Fernando, Nicolai Marcelo
Department of Crop Science, University of São Paulo, Piracicaba, São Paulo, Brazil.
J Environ Sci Health B. 2005;40(1):1-11. doi: 10.1081/pfc-200034196.
Brazilian off-season maize production is characterized by low yield due to several factors, such as climate variability and inadequate management practices, specifically weed management. Thus, the goal of this study was to determinate the critical period of weed competition in off-season maize (Zea mays L.) crop using thermal units or growing degree days (GDD) approach to characterize crop growth and development. The study was carried out in experimental area of the University of São Paulo, Brazil, with weed control (C), as well as seven coexistence periods, 2, 4, 6, 8, and 12 leaves, flowering, and all crop cycle; fourteen treatments were done. Climate data were obtained from a weather station located close to the experimental area. To determine the critical period for weed control (CPWC) logistic models were fitted to yield data obtained in both W and C, as a function of GDD. For an arbitrary maximum yield loss fixed in 2.5%, the CPWC was found between 301 and 484 GDD (7-8 leaves). Also, when the arbitrary loss yield was fixed in 5 and 10%, the period before interference (PBI) was higher than the critical weed-free period (CWFP), suggesting that the weeds control can be done with only one application, between 144 and 410 GDD and 131 and 444 GDD (3-8 leaves), respectively. The GDD approach to characterize crop growth and development was successfully used to determine the critical period of weeds control in maize sown off-season. Further works will be necessary to better characterize the interaction and complexity of maize sown off-season with weeds. However, these results are encouraging because the possibility of the results to be extrapolated and because the potential of the method on providing important results to researchers, specifically crop modelers.
巴西淡季玉米生产因多种因素而产量较低,这些因素包括气候多变性以及管理措施不当,尤其是杂草管理。因此,本研究的目的是利用热量单位或生长度日(GDD)方法来确定淡季玉米(Zea mays L.)作物中杂草竞争的关键时期,以此来表征作物的生长和发育。该研究在巴西圣保罗大学的试验区进行,设置了杂草控制(C)以及七个共存时期,即2叶、4叶、6叶、8叶、12叶期、开花期和整个作物周期;共进行了14种处理。气候数据来自位于试验区附近的一个气象站。为了确定杂草控制的关键时期(CPWC),将逻辑模型拟合到在有杂草(W)和无杂草(C)情况下获得的产量数据,作为GDD的函数。对于设定为2.5%的任意最大产量损失,发现CPWC在301至484 GDD(7 - 8叶期)之间。此外,当任意损失产量设定为5%和10%时,干扰前时期(PBI)高于关键无杂草时期(CWFP),这表明杂草控制只需一次施用即可,分别在144至410 GDD和131至444 GDD(3 - 8叶期)之间。利用GDD方法表征作物生长和发育成功地用于确定淡季播种玉米中杂草控制的关键时期。还需要进一步开展工作,以更好地表征淡季播种玉米与杂草之间的相互作用和复杂性。然而,这些结果令人鼓舞,因为结果有可能被外推,并且该方法有潜力为研究人员,特别是作物建模人员提供重要结果。