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Studying Yield and Water Productivity of Maize at Enhanced Level of Temperature Using DSSAT 4.7.5

机译:使用DSSAT 4.75研究玉米玉米产量和水生产率.47.5

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Climate variability has been and continues to be, the principal source of fluctuations in global food production in countries of the developing world and is of serious concern. Agriculture, with its allied sectors, is unquestionably are highly dependent on weather conditions, any weather aberrations cause atmospheric and other forms of stress and in turn, will increase the vulnerability of these farmers to economic losses. Process-based models use simplified functions to express the interactions between crop growth and the major environmental factors that affect crops (i.e., climate, soils, and management), and many have been used in climate impact assessments. The climatic scenario from A1B scenario 2011-2090 extracted from PRECIS run shows that overall maximum and minimum temperature increase by 5.39°C (±1.76) and 5.08°C (±1.37). A decrease of about 20 quintals was recorded when maximum temperature was enhanced by +4°C and about 10 quintals decreased at +2°C. Enhancement of minimum temperature by +3°C shows a decrease of about 16 quintals in tops weight. Combination of both minimum and maximum temperature remarkably decreased grain yield at (maximumandminimum +2°C) up to 25.41%. Max. temperature lead to staggering in the irrigation water productivity, however, a consistant increase in the irrigation water productivity was realised with an increase in minimum temperature. Dry matter productivity of 50 kg DM /ha/mm [ET] was observed with the increase of 1°C in both Max. and Min. temperatures and? the lowest value of (16.7 kg DM /ha/mm[ET]) was recorded when the crop is supposed to grow at enhanced level maximum temperature by +4°C both maximum and minimum temperature. Increase in the both max and minimum temperature by +1°C lead to maximum irrigation water productivity of 22.4 (kg[yield]/ha/mm[irrig]) and the lowest irrigation water productivity of 16.7 (kg[yield]/ha/mm[irrig]) was registerd when both max. as well as min. temp. was raised by +4°C minimum temperature.
机译:气候变异性仍然是发展中国家国家全球粮食生产波动的主要来源,也是严重关注的问题。凭借其盟友的农业,毫无疑问,毫无疑问的是高度依赖天气条件,任何天气像差都会导致大气和其他形式的压力,并又会增加这些农民对经济损失的脆弱性。基于过程的模型使用简化的功能来表达作物生长与影响作物(即气候,土壤和管理)之间的主要环境因素之间的相互作用,许多人已被用于气候影响评估。从PRECIS RUN中提取的A1B场景2011-2090的气候情景表明,总体最大值和最小温度升高5.39°C(±1.76)和5.08°C(±1.37)。当最大温度增强+ 4℃和约10℃下,在+ 2℃下降约10℃时,记录约20型古木的减少。最小温度的增强+ 3°C的增强显示在上层重量中的约16个Quintals降低。最小和最大温度的组合显着降低谷物产量(Maximmaryandminimum + 2℃),高达25.41%。最大限度。温度导致在灌溉水生产率中惊人,然而,在最小温度的增加,灌溉水生产率的一致性增加。在最多增加1°C时,观察到50kg DM / HA / mm曲线的干物质生产率。和闵。温度和?记录(16.7kg dm / ha / mm曲)的最低值,当作物应该在增强的水平最大温度下达到+ 4°C的最大温度和最低温度时,记录。 + 1°C的最大和最小温度的增加导致最大灌溉水生产率为22.4(kg [收率] / ha / mm [IRRIG])和最低灌溉水生产率为16.7(kg [产量] / ha / MM [IRIGIG])在最大时被注册。以及分钟。温度。升高+ 4°C的最低温度。

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