首页> 外文OA文献 >Evaluation of APSIM-wheat to simulate the response of yield and grain protein content to nitrogen application on an Andosol in Japan
【2h】

Evaluation of APSIM-wheat to simulate the response of yield and grain protein content to nitrogen application on an Andosol in Japan

机译:APSIM-小麦的评价模拟产量和谷物蛋白质含量对日本和溶胶溶胶施用的响应

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The self-sufficiency ratio and national average yield of wheat are low in Japan. Reducing the yield gap and receiving the government subsidy for grain quality are vital strategies for profitability. Elucidating optimum nitrogen application scheme is awaited to attain both higher yield and appropriate grain protein content (GPC) for wheat cultivation in Japan. Such decision support can be realized by integrating field experimental knowledge to crop growth models, although they have scarcely been utilized for wheat production in Japan. Therefore, the purposes of this study were to apply a widely used crop growth model (APSIM) to wheat growth on an Andosol in the Kanto region in Japan by calibration and validation. Selected model parameters of APSIM-wheat for phenology, leaf growth, and grain formation were readjusted based on the phenology and growth data of soft and hard wheat cultivars. Then the model was validated by using similar variables obtained in an independent experiment. For the simulation of the optimum sowing for winter wheat in the Kanto area (November), the root mean square error for grain yield was 23 and 48 g m−2 for Ayahikari and Yumeshiho varieties, respectively, and that for GPC was 1.9 and 1.4%. Thus, the overall model performance was acceptable for optimum sowing. However, grain yield and dry matter production were significantly overestimated when the data of late sowing groups were included. Therefore, further model improvement was suggested to add an algorithm to reduce the number of emerged plants under cold temperature in late sowing conditions.
机译:在日本的自给自足比和全国小麦的平均产量低。降低收益率差距和接受政府对粮食质量补贴是盈利能力的重要策略。阐明阐明最佳氮施用方案,可达到日本小麦栽培的产量和适当的谷物蛋白质含量(GPC)。通过将现场实验知识集成到作物生长模型,可以实现这种决策支持,尽管它们几乎没有用于日本的小麦产量。因此,本研究的目的是通过校准和验证将广泛使用的作物生长模型(APSIM)应用于日本的Kanto地区的Andosol上的小麦生长。基于软质和硬质美品种的候选和生长数据,重新调整了候选,叶生长和晶粒形成的APSIM-小麦的所选模型参数。然后通过使用在独立实验中获得的类似变量来验证模型。在仿真播种冬小麦的冬小麦(11月)时,谷物产量的根部均方误差分别为Ayahikari和Yumshihho品种的23和48mg-2,并且对于GPC为1.9和1.4% 。因此,整体模型性能对于最佳播种是可以接受的。然而,当包括晚播种群体的数据时,籽粒产量和干物质产生显着高估。因此,建议进一步的模型改进添加算法,以减少晚期播种条件下的寒冷温度下出现的植物的数量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号