摘要
对宜宾珙县等17个稻米、包谷生产乡开展土壤调查采样工作,共收集了0~20 cm土地样本85份,重点检查了土地pH值、天然有机质、全氮、碱解氮、有效磷、速效钾、缓效钾浓度,并采用土壤养分等级综合指数法和主成分肥力评价法评价了土壤的肥力等级。结果表明:经酸碱度评级,珙县土壤大多为酸性且土壤养分含量总体较为丰富。珙县土壤pH值、有机质与有效养分的相关性较强,极有可能为同一来源。主成分分析肥力评价法结果表明:罗渡苗族乡土壤最肥沃,其次为下罗镇;沐滩镇土壤最贫瘠,其次为孝儿镇。总之,珙县农田土壤普遍呈酸性,大部分土壤肥力水平整体较高,只有个别地区部分养分含量较低,养分条件总体上适合水稻、玉米的生长。
Soil investigation and sampling were carried out in 17 rice and Baogu production townships, including Gongxian County, Yibin. A total of 85 0~20 cm land samples were collected, focusing on the content of land pH, natural organic matter, total nitrogen, alkaline hydrolyzable nitrogen, available phosphorus,available potassium and slow available potassium, The soil fertility grade was evaluated by the comprehensive index method of soil nutrient grade and the principal component fertility evaluation method. The results showed that the soil in Gongxian County was mostly acidic and the soil nutrient content was relatively rich.There is a strong correlation between soil pH, organic matter and available nutrients in Gong county, which is very likely to be from the same source. The results of fertility evaluation by principal component analysis showed that the soil in Luodu Miao township was the most fertile, followed by Xialuo town;Mutan town has the poorest soil, followed by Xiaoer town. In a word, the farmland soil in Gongxian County is generally acidic,most of the soil fertility level is generally high, and only some parts of the nutrient content in some areas are low. The nutrient conditions are generally suitable for the growth of rice and corn.
作者
金中林
朱双
谢明
郑琴
姚旭松
JIN Zhonglin;ZHU Shuang;XIE Ming;ZHENG Qin;YAO Xusong(Gongxian Agricultura and Rural Affairs,Yibin 644500,China;Keyuan Engineering Technology Testing Center of Sichuan Province,Chengdu 610073,China;Key Laboratory of Investigation,Monitoring,Protection and Utilization of Cropland Resources,Ministry of Natural Resources,Chengdu 610073,China)
出处
《农业装备技术》
2022年第5期53-59,共7页
Agricultural Equipment & Technology
关键词
珙县农田
土壤养分
土壤肥力评价
宜宾珙县
Gongxian county farmland
soil nutrients
soil fertility evaluation
Yibin Gongxian
