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A proposed method to determine yield response factors of different crops under deficit irrigation using inverse formulation approach.

机译:提出了一种利用逆配方法确定亏缺灌溉条件下不同作物产量响应因子的方法。

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Yield response factors of a given crop can be determined following the FAO approach (Doorenbos and Kassam, 1979. Yield response to water. FAO Irrigation and Drainage Paper no. 33. Rome, Italy, pp. 1-40) either by applying deficit irrigation throughout the whole growing period, or at one stage of the crop growth while maintaining full irrigation at the other stages. In this study, an inverse formulation methodology is proposed to determine the stage wise yield response factors (modified kyi values) for eight crops in the Lower Indus Basin. The proposed inverse formulation was based on the multiplicative (Jensen, 1968. Water consumption by agricultural plants. Chapter 1. In: T.T. Kozlowski (Ed.) Water Deficits and Plant Growth Vol. II (pp 1-22). Academic Press, New York) and additive (Stewart et al., 1977. Determination and utilization of water production functions for principal California crops. W-67 California Contributory Project, University of California) approaches to determine yield response factors. To illustrate the applicability of the proposed inverse formulation, the widely used seasonal ky values of FAO Irrigation and Drainage Paper No 33 (Doorenbos and Kassam, 1979. Yield response to water. FAO Irrigation and Drainage Paper no. 33. Rome, Italy, pp. 1-40) were used to generate a data set of yields and evapotranspirations for the crops under study after applying theoretical levels of deficit irrigation at different growth stages using climatic and soil data of the Lower Indus Basin. This data set was then used to estimate the modified kyi values separately for the additive and the multiplicative approaches from the inverse formulations. Modified kyi values were found to be different for additive and multiplicative approaches but there was a good agreement between the relative yield reductions using modified kyi values and seasonal ky values. However, there was a complete mismatch between relative yield reductions using FAO 33 stage wise kyi values and using FAO 33 seasonal ky values. Modified kyi values, based on the proposed inverse formulation, may be more representative by taking into account the effects of deficit irrigation on crop production.
机译:可以按照粮农组织的方法(Doorenbos和Kassam,1979年。对水的产量响应。粮农组织灌溉与排水文件第33号,意大利罗马,第1-40页)确定作物的产量响应因子,方法是采用亏缺灌溉法在整个生长期或作物生长的一个阶段,而在其他阶段则保持充分灌溉。在这项研究中,提出了一种逆配方方法来确定印度河下游盆地八种作物的阶段性产量响应因子(修正的k yi 值)。所提出的逆公式是基于乘法运算的(Jensen,1968年。农业植物的用水量。第1章。):TT Kozlowski(编),《水分亏缺与植物生长》,第二卷(第1-22页),学术出版社,新书约克)和添加剂(Stewart等人,1977年。主要加利福尼亚农作物的水分生产功能的确定和利用。加利福尼亚大学W-67加利福尼亚项目)确定产量响应因子的方法。为了说明所提出的反公式的适用性,广泛使用了粮农组织第33号灌溉和排水论文的季节性k y 值(Doorenbos和Kassam,1979年。对水的产量响应。 。33.意大利罗马,第1-40页)使用印度河下游地区的气候和土壤数据,在不同生育阶段应用理论灌溉水平,然后利用该数据生成了正在研究的作物的产量和蒸散量数据集。然后,该数据集用于根据逆公式分别估算加性和乘法方法的修正k yi 值。对于加法和乘积法,修改后的k yi 值是不同的,但使用修改后的k yi 值的相对产量减少与季节性k 有很好的一致性。 y 值。但是,使用FAO 33分阶段的k yi 值和使用FAO 33季节性k y 值的相对产量降低之间完全不匹配。考虑到逆向灌溉对作物生产的影响,基于拟议的逆公式修改的k yi 值可能更具代表性。

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