Application of modern mathematical statistical methods for analyzing soil available boron of navel orange orchards in Gannan | 现代数理统计方法在赣南脐橙园土壤有效硼含量分析中的应用
2013
Hu Donggang, Huazhong Agricultural University, Wuhan (China), College of Science | Wang Weiping, Huazhong Agricultural University, Wuhan (China), College of Science | Jiang Cuncang, Huazhong Agricultural University, Wuhan (China), Microelement Research Center
صينى. 应用统计学方法中的偏度系数、正态分布、置信区间和ArcGIS作图等方法和技术，对赣南18个县（市、区）脐橙果园土样有效硼含量进行了系统的分析，结果表明：赣南脐橙园整体上缺硼严重，缺硼的比例达到了87.1%。同时，不同县（市、区）有一定的差异，土壤有效硼状况最好的是龙南县（硼含量为0.26mg/kg），最严重的是章贡区（硼含量仅为0.09mg/kg）。通过有效硼含量直观分布图，更清楚的表明硼缺乏是该区域脐橙发展的主要限制因素。因而，结合现代数理方法的应用，能更快速直观的反应农业资源的状况。
اظهر المزيد [+] اقل [-]إنجليزي. Boron contents of soil samples from navel orange orchards of 18 counties in Gannan were analyzed systematically using skewness coefficient, normal distribution, confidence intervals statistical and ArcGIS mapping methods. The results showed that boron deficiency of navel orange orchard soil was serious on the whole with proportion reaching upto 87.1%. It was found that there were differences among districts. The status of soil available boron in Longnan County is best (boron content of 0.26mg/kg), while the severe district is Zhanggong (boron content of only 0.09mg/kg). Distribution map of soil available boron clearly revealed that boron deficiency is the main limited factor for the regional development. The application of modern mathematical methods can quickly and intuitively reflect the situation of agricultural resources.
اظهر المزيد [+] اقل [-]