کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8873021 | 1622878 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
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چکیده انگلیسی
The worldwide decrease in available irrigation water is driving the need for the development of methods to minimize water losses in crop production. A field experiment was conducted at the Hatfield Experimental Farm of the University of Pretoria, Pretoria, South Africa (25°45â²0â²'S, 28°16â²0â²'E and altitude of 1327â¯m.a.s.l.) in 2013. The objectives of the study were to determine crop-specific model parameters for dry beans and to successfully calibrate and validate the Soil Water Balance (SWB) model for predicting dry bean yield and water use from historical weather data. Model simulations of leaf area index, total dry mass, harvestable dry mass, and soil water deficits agreed reasonably well with measured values and statistical parameters for most variables were within acceptable limits. The SWB model simulated leaf area index, total dry mass, harvestable dry mass, and soil water deficits for drought stress treatments reasonably well. The calibrated model was then used to predict dry bean grain yield for three localities in Limpopo Province over a period of nine years. The scenario modelling results indicated that the model can be used as an irrigation scheduling tool and also be successfully used to estimate yields of dry beans under various conditions and at other localities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural Water Management - Volume 202, 1 April 2018, Pages 113-121
Journal: Agricultural Water Management - Volume 202, 1 April 2018, Pages 113-121
نویسندگان
Rudzani Mathobo, Diana Marais, Joachim Martin Steyn,