河南省冬小麦籽粒质量评价的气象指标分析OACSTPCD

Utilizing a dataset comprised of 630 winter wheat samples collected from He'nan province during the years 2008,2010 to 2014,and 2019,along with corresponding meteorological data,this study employs multiple comparison methods and logistic multivariate regression analysis to construct meteorological indicators predicting the attainment of grade two or higher grain quality in winter wheat.The results indicate a significant negative cor-relation between the thousand kernel weight(TKW)of winter wheat grains and average air relative humidity dur-ing the anthesis period,and a significant positive correlation with sunlight duration.The proportion of shriveled grains shows a significant positive correlation with air relative humidity,precipitation amount,and the number of precipitation days.The correlation between winter wheat grain quality and decadal meteorological factors displays dynamic variations.Key meteorological factors affecting the TKW of winter wheat grains differ by region within He'nan province,with sunlight and temperature being critical in the northern part,temperature in the eastern part,and temperature combined with precipitation in the southern part.The evaluation of meteorological indicators for winter wheat grain quality matched well with the actual grain quality grades,yielding a consistency rate of 84%,while the consistency rate for the evaluation of shriveled grains reached 100%.Over the past 30 years,the average frequency of attaining at least grade two in terms of meteorological conditions for winter wheat quality in He'nan province has been 79.7%(with the exception of western He'nan),suggesting that meteorological conditions are overall favorable for the improvement of grain quality of winter wheat in He'nan province.