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首页> 外文会议>2010 International conference of international conference on combating land degradation in agricultral areas. >Validate the DSSAT model on winter wheat under conservation tillage treatments in the West Henan, China
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Validate the DSSAT model on winter wheat under conservation tillage treatments in the West Henan, China

机译：在豫西保护性耕作条件下验证冬小麦DSSAT模型

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Crop growth simulation models can be useful in evaluating the impacts of different tillage and residue management operations on the changes in land productivity and soil-water balance components. They offer a potentially valuable set of tools for examining questions related to performance of conservation agriculture. This can be both to improve our understanding or conceptualization of processes and to improve quantitative predictions for use by agronomists, growers, policy makers or others. We applied the new Decision Support System for Agro-technology Transfer (DSSAT) version 4.5, an improved crop growth simulation model, to three conservation agriculture treatments and one conventional tillage treatment data from a field-scale study in west Henan region of China to predict winter-wheat yield, leaf area index and soil-water balance. The site’s average annual precipitation is 632mm and it had a winter wheat-fallow-winter wheat rotation. There winter wheat planting in October and harvesting in next year June. The model was calibrated using 2005-2006 winter-wheat crop data from field experiments of the four treatments. The treatments were: (1) decreased tillage (DT): mulching of 10-15cm height straw and one ploughing operation to 25cm depth on July 1st; (2) zero tillage (ZT): zero tillage with 35-40cm height straw mulching; (3) subsoiling (SS): 35-40cm height straw mulching and subsoil to 40cm depth on July 1st; (4) conventional tillage (CT): 10-15cm height straw mulching and two ploughing operations 20cm deep on July 1st and October 1st. The DSSAT satisfactorily simulated the four treatments’ variations in winter-wheat yield, leaf area index and soil-water balance. There was better agreement between observed and predicted yields (the error absolute values were less than 3.95% and the error mean absolute values were less than 2.78%). The mean value of root mean square errors (RMSE) for simulated leaf area index (LAI) and soil water storage were 0.41cm2·cm-2 and 0.08cm3·cm-3 for DT, ZT, SS and CT, treatment respectively. The predicted water use efficiency for the four treatments were 15.85, 15.40, 16.58 and 15.81kg·mm-1·ha-1, respectively. These values were close to the values calculated from field measured data (16.82, 14.44, 16.86 and 15.66kg·mm-1·ha-1, respectively). Although the analysis results show us that the DSSAT V4.5 is well suited for simulating winter-wheat growth in the West Henan region of China, these results are preliminary and based on only one year of experimental data and four treatments and further long-term analyses need to be carried out for improving the understanding of the conservation agriculture cropping systems in the west Henan region of China.
机译：作物生长模拟模型可用于评估不同耕作和残茬管理操作对土地生产力和土壤水平衡成分变化的影响。它们提供了一组潜在有价值的工具，用于检查与保护性农业绩效有关的问题。这既可以增进我们对过程的理解或概念化，也可以改善供农学家，种植者，决策者或其他人使用的定量预测。我们将新的农业技术转移决策支持系统（DSSAT）4.5版（一种改进的作物生长模拟模型）应用于中国河南西部地区的三种保护性农业处理方法和一项常规耕作处理数据，以进行预测冬小麦产量，叶面积指数和土壤水平衡。该站点的年平均降水量为632mm，并且冬小麦轮作于冬小麦轮作。那里的冬小麦在10月播种，明年6月收获。使用来自这四种处理的田间试验的2005-2006年冬小麦作物数据对模型进行了校准。处理方法是：（1）减少耕作（DT）：在7月1日覆盖10-15cm高的稻草并进行一次耕作，直至深度达到25cm。 （2）零耕（ZT）：以35-40cm高的秸秆覆盖覆盖零耕； （3）深层土壤（SS）：7月1日高35-40cm的稻草覆盖和深层土壤至40cm的深度； （4）传统耕作（CT）：7月1日和10月1日，高10-15cm的稻草覆盖和两次耕作，深20cm。 DSSAT令人满意地模拟了四种处理在冬小麦产量，叶面积指数和土壤水平衡方面的变化。观察到的和预期的产量之间有更好的一致性（误差绝对值小于3.95％，误差平均绝对值小于2.78％）。 DT，ZT，SS和CT处理的模拟叶面积指数（LAI）和土壤储水的均方根误差（RMSE）的平均值分别为0.41cm2·cm-2和0.08cm3·cm-3。四种处理的预测用水效率分别为15.85、15.40、16.58和15.81kg·mm-1·ha-1。这些值接近于根据实地测量数据计算的值（分别为16.82、14.44、16.86和15.66kg·mm-1·ha-1）。尽管分析结果表明，DSSAT V4.5非常适合模拟中国河南西部地区的冬小麦生长，但这些结果只是初步的，仅基于一年的实验数据和四种处理方法以及进一步的长期研究需要进行分析，以增进对河南西部地区保护性农业种植系统的了解。

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