首页 | 本学科首页   官方微博 | 高级检索  
     

基于GIS和丰缺指标法的区域施肥管理体系的构建
引用本文:高宏艳,索全义,郑海春,郜翻身. 基于GIS和丰缺指标法的区域施肥管理体系的构建[J]. 植物营养与肥料学报, 2021, 27(9): 1648-1655. DOI: 10.11674/zwyf.2021219
作者姓名:高宏艳  索全义  郑海春  郜翻身
作者单位:1.内蒙古农业大学草原与资源环境学院,内蒙古呼和浩特 010018
基金项目:农业农村部测土配方施肥项目
摘    要:[目的]采用GIS定位和养分丰缺指标相结合的方法,研究西辽河平原耕地土壤碱解氮、有效磷、速效钾的空间分布特点,建立直观、精准的推荐施肥系统.[方法]西辽河平原包括科尔沁区、开鲁县、奈曼旗、科尔沁左翼后旗、科尔沁左翼中旗.以该区域的15421个土壤测试数据和143个玉米"3414试验"数据为基础,运用GIS方法计算耕地土...

关 键 词:GIS  丰缺指标法  土壤养分  区域  施肥体系
收稿时间:2021-04-21

Construction of regional fertilization system based on GIS and nutrient abundance index
GAO Hong-yan,SUO Quan-yi,ZHENG Hai-chun,GAO Fan-shen. Construction of regional fertilization system based on GIS and nutrient abundance index[J]. Plant Nutrition and Fertilizer Science, 2021, 27(9): 1648-1655. DOI: 10.11674/zwyf.2021219
Authors:GAO Hong-yan  SUO Quan-yi  ZHENG Hai-chun  GAO Fan-shen
Affiliation:1.College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, InnerMongolia 010018, China
Abstract:  【Objectives】  We assessed available soil nutrients using a nutrient abundance index and graded the spatial distribution of the former based on GIS and soil nutrient grading in Xiliao River Plain. Further, we proposed fertilizer recommendations across the spatial layout.  【Methods】  Xiliao River Plain in Inner Mongolia covers Horqin District, Kailu County, Naiman Banner, Horqin Left Back Banner, and Horqin Left Middle Banner. Based on 15421 soil test data and 143 “3414” maize trail data, we calculate the spatial interpolation results of alkaline N, available P, and readily available K in the cultivated soil using GIS. Combining GIS with the method of soil abundance index, the nutrient management zones of soil alkaline N (AN), available P (AP), and readily available K (AK) were divided in Xiliao River Plain. The fertilizer uptake of different soil NPK nutrient combinations was determined. The map of N, P, and K zonal fertilization of maize was developed.  【Results】  The spatial distribution of soil nutrients in the cultivated soil was uneven. The content of soil AN was low, and the contents of soil AP and AK were medium in Xiliao River Plain. The most important combinations of soil AN–AP–AK were low (N)–medium (P)–medium (K), medium (N)–medium (P)–medium (K), and medium (N)–medium (P)–high (K). The area ratio of each combination was 42.4%, 14.1%, and 13.5%. There were better logarithmic relationships between the soil AN, AP, and AK content (x) and the economic optimal fertilizer rate (y). Nitrogen optimal fertilization model was y = –102.5ln (x) + 617.22, phosphorus optimal fertilization model was y = –36.11ln (x) + 174.1, and potassium optimal fertilization model was y = –25.89ln (x) + 180.96. Under the different soil nutrient combinations, the optimal dosage combinations of N, P2O5, and K2O for maize were 202–110–58 (kg/hm2), 168–107–57 (kg/hm2), and 164–102–47 (kg/hm2).  【Conclusions】  The relative yield of maize has a good logarithmic relationship with soil AN, AP, and AK content. The simulation effects of the function between the relative yield of maize and soil nutrients differ under different methods.When dividing the abundance index of soil alkaline nitrogen, available phosphorus, and readily available potassium in the Xiliao River Plain, grading intervals of the relative yield of 75% and 85% are suitable. Under the big data support of soil nutrients, the regional fertilization management system can be established accurately and rapidly by combining the GIS and abundance index methods.
Keywords:
点击此处可从《植物营养与肥料学报》浏览原始摘要信息
点击此处可从《植物营养与肥料学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号