亏缺灌溉条件下玉米产量与气候环境因子关系的定量研究

IF 1.5 Q2 AGRONOMY International Journal of Agronomy Pub Date : 2022-11-18 DOI:10.1155/2022/2408439
M. G. B. Allakonon, P. Akponikpè
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引用次数: 0

摘要

有证据表明,可用于农业的淡水资源正在以前所未有的速度减少。开发了新的灌溉策略,并在玉米等养活世界的作物上进行了试验,以提高水的生产力。亏缺灌溉是可以在不显著影响作物生产的情况下提高水分生产力的策略之一。本文采用定量方法综述了影响玉米产量和灌溉水生产力对亏缺灌溉水分胁迫响应的因素。数据收集自世界各地符合预定义标准的同行评议出版物。以粮食产量变化(GYv)和灌溉用水效率变化(IWUEv)为响应变量,采用简单线性回归模型和多元线性回归模型对数据进行分析。总体而言,玉米对亏缺灌溉的响应与水分胁迫水平(WD)显著相关。低于最适灌水量20%的轻度胁迫导致营养期产量损失0.5% ~ 17.45%,而生殖期产量损失46%。在营养和生殖阶段(vrs)同时施加水分胁迫(20-40%)可使产量降低44%。多元线性回归结果显示,水稻产量变异的62%可由WD和施氮量共同解释,而水稻和水稻产量变异的54%和13%可由WD和施氮量共同解释。需水量和气候对亏缺灌溉条件下的GYv和IWUEv具有较好的解释作用。这些结果表明,考虑到地点的气候特征和玉米生产系统的复杂性,应该推荐特定地点的亏缺灌溉水平,以限制产量损失并提高水分生产力。
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Relationship of Maize Yield to Climatic and Environmental Factors under Deficit Irrigation: A Quantitative Review
There is evidence that freshwater resources available for agriculture are decreasing with an unprecedented record. New irrigation strategies are developed and tested on crops that feed the world, such as maize, to improve water productivity. Deficit irrigation is one of these strategies that can improve water productivity without a significant impact on crop production. Here, the authors review the factors that affect the response of maize yield and irrigation water productivity to water stress induced by deficit irrigation using a quantitative approach. Data were collected from peer-reviewed publications worldwide that respond to predefined criteria. The authors defined grain yield variation (GYv) and variation of irrigation water use efficiency (IWUEv) as response variables and used simple and multiple linear regression models for data analysis. Overall, maize response to deficit irrigation is significantly correlated to the water stress level (WD). Mild stress below 20% of optimal irrigation led to 0.5% to 17.45% of yield loss in the vegetative stage (VS) but resulted in 46% yield loss at the reproductive stage (RS). Water stress (20–40%) applied at both vegetative and reproductive stages (VRSs) can reduce yield by 44%. The maximum yield loss was 90% in the RS. The multiple linear regression revealed that 62% of the grain yield variability was explained by both WD and nitrogen rates in the VS, while 54% and 13% of this variability was explained in the RS and VRS, respectively. The authors also found that the WD and the climate explained the best the GYv and the IWUEv under deficit irrigation. These results suggest that regarding the climatic characteristics of site location and the complexity of maize production systems, site-specific levels of deficit irrigation should be recommended to limit yield loss and increase water productivity.
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来源期刊
CiteScore
3.60
自引率
5.30%
发文量
66
审稿时长
16 weeks
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