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基于 APSIM 的油用亚麻叶面积指数模型构建

李玥 牛俊义 谢亚萍 吴兵 高珍妮 刘栋 剡斌

中国油料作物学报Issue(3):329-335,7.
中国油料作物学报Issue(3):329-335,7.DOI:10.7505/j.issn.1007-9084.2015.03.011

基于 APSIM 的油用亚麻叶面积指数模型构建

Simulation of oilseed flax leaf area index based on APSIM

李玥 1牛俊义 2谢亚萍 3吴兵 4高珍妮 1刘栋 5剡斌5

作者信息

  • 1. 甘肃农业大学生命科学技术学院,甘肃 兰州,730070
  • 2. 甘肃农业大学信息科学技术学院,甘肃 兰州,730070
  • 3. 甘肃农业大学农学院,甘肃 兰州,730070
  • 4. 甘肃省农业科学院,甘肃 兰州,730070
  • 5. 甘肃农业大学信息科学技术学院,甘肃 兰州,730070
  • 折叠

摘要

Abstract

Leaf area index(LAI)model of oilseed flax was constructed by data collected under different den-sities in Dingxi experiment site and with different nitrogen and phosphorus contents in Yuzhong in 2012 - 2013. En-vironment effect and genetic characteristics of flax were considered for accurate LAI model of oilseed flax. Potential LAI was conducted using potential leaves number,leaf size,plant density and water stress factor for leaf expansion. Actual LAI was conducted under water restriction and nitrogen assimilation. Senescence LAI was calculated by u-sing maximum ageing,light competition and water stress. These 3 LAI models were constructed based on APSIM (Agricultural Production System Simulator)model. Models were validated by data from Dingxi station and Yuzhong site in 2014. Validation results showed that the minimum value of RMSE was 0. 043,the maximum value RMSE was 0. 672,and the coefficient of determination R2 was between 0. 56 and 0. 98,which indicated that these models could accurately simulate LAI of oilseed flax. Results also showed that the rational planting density was 7. 5 × 105 plant per hectare in Dingxi with the optimum LAI of 3. 92,the optimum 75kg·hm - 2 N and 75kg·hm - 2 P2 O5 in Yuzhong with the optimum LAI of 4. 486(during flowering stage).

关键词

油用亚麻/潜在叶面积指数/衰落叶面积指数/APSIM/投影寻踪自回归

Key words

Oilseed flax/Potential leaf area index(PLAI)/Senesced leaf area index(SLAI)/APSIM/Pro-jection pursuit auto - regression based on error back propagation

分类

农业科技

引用本文复制引用

李玥,牛俊义,谢亚萍,吴兵,高珍妮,刘栋,剡斌..基于 APSIM 的油用亚麻叶面积指数模型构建[J].中国油料作物学报,2015,(3):329-335,7.

基金项目

国家自然科学基金(31360315);现代农业产业技术体系建设专项 ()

中国油料作物学报

OA北大核心CSCDCSTPCD

1007-9084

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