摘要
胡麻器官生长与干物质分配的准确模拟是预测胡麻产量的关键模型。利用2012-2013年定西和榆中试验站胡麻不同播种方式(残膜直播、覆盖新膜播种、揭残膜后直接播种),种植密度(3×106(D1)、4.5×106(D2)、6×106(D3)、7.5×106(D4)、9×106(D5)、1.05×107(D6)、1.2×107(D7)粒·hm-2)和氮磷水平的试验,采用关键遗传参数叶片生物量、蒴果生物量、收获指数增长率、最大收获指数、籽粒含油量、碳水化合物含油率、籽粒水分含量等确定各器官物质分配比例,基于农业生产系统模型(APSIM)构建胡麻干物质分配与器官生长模拟模型,2014-2015年试验数据用于模型验证。结果表明,定西试验区不同肥料、播种方式的地上部总干重模拟结果分别为:RMSE值平均1.7652 g·plant-1,R2平均0.8649,不同播种方式模拟RMSE值平均1.8928 g·plant-1,R2平均0.8453;不同种植密度、氮磷处理水平的地上部总干重平均RMSE值分别为1.5344 g·plant-1、1.9371 g·plant-1,平均R2分别为0.9135、0.8267,各器官干重茎、叶、果的平均RMSE值分别为1. 7751、2. 6371、1. 9785 g·plant-1,R2分别为0.9344、0.8077、0.9118。检验结果表明,模型可较好模拟胡麻地上部总干重和地上部各器官干重的变化动态。
In order to accurately predict yield of flax seed,we simulated the dry matter distribution and organ growth by using experiments data of various sowing methods(with residual film,with new film,and seeding after removing the residual film),planting density(3 × 106(D1) 、4.5×106(D2) 、6×106(D3) 、7.5×106(D4) 、9×106(D5) 、1.05×107(D6) 、1.2×107(D7) plant·hm-2) and nitrogen and phosphorus levels in Dingxi and Yuzhong in2012-2013 based on APSIM. The distribution proportion of matter of each organ was determined using key cultivar parameters such as leaf biomass,pod biomass,growth rate of harvest index,the maximum harvest index,oil content of seeds,oil content of carbohydrate,and moisture content of seeds. The model was validated using observed value in 2014-2015. The results showed that the average RMSE and R2 value of total dry matter above ground were1.7652 g per plant and 0.8649,respectively,the average RMSE and R2 value with different sowing methods were1.8928 and 0.8453,respectively. They were 1.5344 g per plant and 0.9135 for different density,and 1.9371 g per plant and 0.8267 for nitrogen and phosphorus levels,respectively. The RMSE values of stem,leaf and pod were1.7751,2.6371,1.9785 g per plant and the R2 value were 0.9344,0.8077,and 0.9118,respectively. The validation showed that the model can properly mimic the dynamic change of total dry weight of flax plant and dry weight of organs above ground.
作者
李玥
武凌
高珍妮
牛俊义
LI Yue;WU Ling;GAO Zhen-Ni;NIU Jun-Yi(College of Information Science and Technology,Gansu Agricultural University,Lanzhou,Gansu 730070,China;Network and Information Center,Lanzhou Jiaotong University,Lanzhou,Gansu 730070,China;College of Agronomy,Gansu Agricultural University,Lanzhou,Gansu 730070,China)
出处
《干旱地区农业研究》
CSCD
北大核心
2018年第6期110-119,共10页
Agricultural Research in the Arid Areas
基金
甘肃省科技计划(18JR3RA165)
甘肃农业大学盛彤笙科技创新基金项目(GSAU-STS-1717)
国家自然科学基金项目(31360315)