Relationship of Maize Yield to Climatic and Environmental Factors under Deficit Irrigation: A Quantitative Review

• Published in: International journal of agronomy 2022-11, Vol.2022, p.1-12
• Main Authors: Allakonon, M. Gloriose B., Akponikpè, P. B. Irénikatché
• Format: Article
• Language: English
• Subjects: Agricultural production; Agricultural resources; Corn; Crop production; Crop yield; Crops; Cultivars; Data analysis; Efficiency; Environmental factors; Food; Freshwater resources; Grain; Irrigation; Irrigation efficiency; Irrigation water; Physiology; Plant growth; Productivity; Regression analysis; Regression models; Site location; Variability; Water stress; Water use; Water use efficiency
• ISSN: 1687-8159; 1687-8167
• DOI: 10.1155/2022/2408439

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.