摘要
基于瑞丽市热带作物农耕区25个土壤样本数据的水分、p H值、有机质、碱解氮、全磷、有效磷、全钾、全氮8个营养指标,通过主成分分析法(PCA)和系统聚类分析法进行土壤养分综合评价。结果表明,该批土样综合得分值在-1.169~0.793之间,土壤肥力最高的4个样本占总样本的16.0%,综合得分Y∈[0.599 2,0.793 4];土壤肥力较高的9个样本,占总样本的36.0%,综合得分Y∈[0.111 3,0.360 2];土壤肥力较差的9个样本,占总样本的36.0%,综合得分Y∈[-0.354 4,-0.092 7];土壤肥力最差的3个样本,占总样本的12.0%,综合得分Y∈[-1.169 1,-0.769 7]。鉴于全市热带作物农耕区土壤肥力存在较大的差异,应结合分析结果以及作物的需要适当施用复合肥、有机肥,以提高土壤的肥力水平。
Based on the 8 nutrient indexes （moisture, pH value, organic matter, available nitrogen, total phosphorus, available phosphorus, total potassium and total nitrogen） of 25 soil samples in the tropical crop farming area of Ruili City, soil nutrients were evaluated by principal component analysis （PCA）and systematic cluster analysis. The results showed that the comprehensive scores of soil samples were between -1.169 and 0.793. The 4 soil samples with the highest fertility accounted for 16.0% of the total samples,and the comprehensive score was Y ∈ [0.599 2,0.793 4]. The 9 soil samples with higher fertility accounted for 36.0% of the total samples, and the comprehensive score was Y ∈ [0.111 3,0.360 2].The 9 soil samples with lower fertility accounted for 36.0% of the total samples ,and the comprehensive score was Y ∈ [-0.354 4,-0.092 7]. The 3 soil samples with the lowest fertility accounted for 12.0% of the total samples, and the comprehensive score was Y∈ [- 1.169 1, -0.769 7].In view of the large difference in the soil fertility of the tropical crop farming area, the compound fertilizer and organic fertilizer should be properly applied, combining with the analysis results and the need of crops, in order to promote the soil fertility level.
作者
戴余波
张丽萍
李国明
刘小琼
王晓媛
李庆聪
DAI Yu-bo ZHANG Li-ping LI Guo-ming LIU Xiao-qiong WANG Xiao-yuan LI Qing-cong(Dehong Institute of Tropical Agriculture in Yunnan Province, Ruili Yunnan 67860)
出处
《现代农业科技》
2017年第18期155-157,共3页
Modern Agricultural Science and Technology
关键词
土壤养分
土壤肥力
热带作物耕地
主成分分析
聚类分析
综合评价
soil nutrient
soil fertility
tropical crops cultivated field
principal component analysis
cluster analysis
comprehensive evaluation
