摘要 为明确运城市冬小麦的产量潜力,研究主要通过农业生态区域模型对运城市1997—2016年冬小麦光合生产潜力和光温生产潜力进行估算,根据生产潜力的衰减机制以及冬小麦不同生育阶段的水分情况,估算了气候生产潜力,并对该地区相关气象因子与冬小麦生产潜力的相互关系进行回归分析。结果表明,运城市冬小麦光合生产潜力、光温生产潜力和气候生产潜力分别为79.40~90.36、8.14~9.08、5.20~6.63 t/hm2;年日照时数、日均温度、日均最高温度、日均最低温度极显著影响冬小麦光温和气候生产潜力,降雨量对气候生产潜力的影响也达到极显著水平;1997—2016年间运城市冬小麦生产潜力有下降趋势,其中,气候生产潜力有显著下降趋势。综合来看,在日照时数较长、降雨量和空气湿度较大、且无极端高温出现的年份,冬小麦生产潜力更高。 To clarify the yield potential of winter wheat in Yuncheng,the study mainly estimated the photosynthetic production potential and light temperature production potential of winter wheat in Yuncheng from 1997 to 2016 through the agricultural ecological regional model.According to the attenuation mechanism of the production potential and the water situation of winter wheat in different growth stages,the climate production potential was estimated,and the correlation between the related meteorological factors and the winter wheat production potential was analyzed by regression analysis.The results showed that the photosynthetic production potential,light temperature production potential and climate production potential of winter wheat in Yuncheng were 79.40-90.36,8.14-9.08,5.20-6.63 t/hm2,respectively.Annual sunshine hours,daily average temperature,average daily maximum temperature,and daily average minimum temperature could significantly affect winter wheat light temperature and climate production potential,and the impact of rainfall on climate production potential also reached a significant level.From 1997 to 2016,the production potential of winter wheat in Yuncheng city had a downward trend,and the climate production potential had a significant downward trend.Taken together,the winter wheat production potential is higher in the years when the sunshine hours are longer,the rainfall and air humidity are higher,and there is no extreme high temperature.
机构地区 山西农业大学农学院
出处 《山西农业科学》 2021年第4期477-483,共7页 Journal of Shanxi Agricultural Sciences
基金 山西农业大学科技创新基金项目(2017YJ25) 现代农业产业技术体系建设专项(CARS-03-01-24)。
关键词 冬小麦 生产潜力 农业生态区域模型 气象因子 winter wheat potential productivity agro-ecological region model meteorological factor
