首页|基于 APSIM 的油用亚麻叶面积指数模型构建

基于 APSIM 的油用亚麻叶面积指数模型构建

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为准确模拟油用亚麻叶面积指数,构建油用亚麻生长模型,本文研究环境效应和作物遗传特性对叶面积指数的作用,分别利用2012-2013年定西试验区不同密度、2012-2013年榆中试验区不同施氮、磷量试验测量数据构建模型,采用潜在叶片数、叶片尺寸和种植密度构建潜在叶面积指数;研究同化作用、水分和氮素胁迫的限制构建实际叶面积指数;研究熟化、光竞争、水分胁迫等引起的衰老叶面积指数,从而构建基于 APSIM(农业生产系统模型)的油用亚麻叶面积指数模型。利用2014年定西和榆中的实际测量数据对模型进行校正。模型检验结果表明,该模型能够较准确地模拟油用亚麻叶面积指数,RMSE 最小值0.043,最大值0.672,决定系数 R2取值范围0.56~0.98,模型拟合效果良好。同时,研究结果表明,定西试验站合理密植7.5×106粒·hm -2,可获最大叶面积指数(盛花期)3.92,榆中试验区最佳施氮量75kg·hm -2、施磷(P2 O5)量75kg·hm -2在盛花期获得最大叶面积指数4.486。
Simulation of oilseed flax leaf area index based on APSIM
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).

Oilseed flaxPotential leaf area index(PLAI)Senesced leaf area index(SLAI)APSIMPro-jection pursuit auto - regression based on error back propagation

李玥、牛俊义、谢亚萍、吴兵、高珍妮、刘栋、剡斌

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甘肃农业大学生命科学技术学院,甘肃 兰州,730070

甘肃农业大学信息科学技术学院,甘肃 兰州,730070

甘肃农业大学农学院,甘肃 兰州,730070

甘肃省农业科学院,甘肃 兰州,730070

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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

国家自然科学基金现代农业产业技术体系建设专项

31360315CARS -17- GW -9

2015

中国油料作物学报
中国农业科学院油料作物研究所

中国油料作物学报

CSTPCDCSCD北大核心
影响因子:1.296
ISSN:1007-9084
年,卷(期):2015.(3)
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