中国稻米

• 专论与研究 • 上一篇    下一篇

基于GIS的山地村域水稻推荐施肥量研究

  1. 贵州大学,贵阳 550025
  • 出版日期:2017-07-20 发布日期:2017-07-20
  • 通讯作者: 冯跃华
  • 基金资助:
    国家自然科学基金(31360311;31160263);公益性行业(农业)科研专项(201503118-03);贵州省农业科技攻关项目(黔科合NY[2011]3085号;黔科合NY[2013]3005号、黔科合支撑[2016]2563号);贵州省作物学省级重点学科建设计划(黔学位合字ZDXK[2014]8号);贵州省普通高等学校粮油作物遗传改良与生理生态特色重点实验室项目(黔教合KY字[2015]333)

Study on Recommend Fertilization Dosage of Rice at Village-region in Mountainous Area Based on GIS

  • Online:2017-07-20 Published:2017-07-20

摘要: 为探究山地村域水稻合理施肥量,以贵州省安顺市西秀区旧州镇文星村吴章组稻田为研究区域,于2014-2016年进行“3414”肥料试验,对3年11个点的“3414”试验数据进行回归分析,建立基于地力的施肥模型;利用ArcGIS软件对吴章组稻田24个随机取样点土壤各养分含量进行插值分析,生成吴章组稻田土壤各有效养分含量分布图,预测吴章组所有田块土壤有效养分含量;根据吴章组田块土壤有效养分含量,应用基于地力施肥模型,获得吴章组各田块的推荐施肥量。

关键词: GIS, 土壤养分, 施肥模型, 施肥量

Abstract: In order to explore rational fertilization of rice at village-region in mountainous area, the‘3414’ fertilizer experiment was carried out in Wuzhang Group, Wenxing Village, Jiuzhou Town, Xixiu District, Anshun City, Guizhou Provincein in 2014-2016. The fertilization model is set based on the experiment data from 11 different testing points in 2014-2016 by regression analysis. The distribution maps of each soil available nutrient content(SANC) were created respectively by spacial interpolation analysis, the data of SANC from 24 random sampling points at the testing field through ArcGIS software, and predicted the SANC of all Wuzhang Group’s fields. So we could give suitable fertilization amounts for the fields according to the SANC calculated by the fertilization model based on the soil fertility.

Key words: rice, GIS, soil nutrient, fertilization model, fertilization dosage

中图分类号: