...
首页> 外文期刊>European Journal of Agronomy >The Broom's Barn sugar beet growth model and its adaptation to soils with varied available water content.
【24h】

The Broom's Barn sugar beet growth model and its adaptation to soils with varied available water content.

机译:扫帚的谷仓甜菜生长模型及其对可用含水量变化的土壤的适应性。

获取原文
获取原文并翻译 | 示例
           

摘要

The important environmental variables that determine sugar beet growth and yield are: temperature, radiation, rainfall, potential evapotranspiration and soil available water capacity (AWC). It is important to understand the integrated effects of these variables on the production of crop dry matter and sugar yield if reliable mathematical models are required to accurately predict sugar beet growth and yield between years and across different soil conditions. The original Broom's Barn sugar beet growth model is process-based, weather-driven and uses a daily time-step simulation. It was developed from observations on beet crops grown at Broom's Barn to take into account the integrated effects of these variables, assuming that the crop has a plant population density of >=75,000/ha, is supplied adequately with nutrients and is free of weeds, pests and diseases. Soil at Broom's Barn is generally sandy loam and has AWC of about 14%. Initial testing of the model against sequential harvest data from commercial fields at different sites in the UK and Germany showed that the original model simulated total dry matter and sugar yields with good agreement to the field observations from soils which had AWC <18%. However, three of the original parameters in the model had to be adjusted to accurately simulate the total dry matter and sugar yields with the field observations from soils which had AWC >18%. The three parameters are: the rate of foliage cover decay - micro min0, the rate of decay in intercepted radiation conversion efficiency - gamma and the sugar partitioning coefficient - kappa . The choice of these three parameters was based on the following observations made where water is plentiful: crop foliage cover declines at a slower rate after it reaches a maximum value; crop canopy intercepted radiation use efficiency declines at a slower rate late in the growing season as less of the canopy is composed of old leaves; the proportion of total dry matter apportioned to sugar is reduced..
机译:决定甜菜生长和产量的重要环境变量是:温度,辐射,降雨量,潜在的蒸散量和土壤有效水容量(AWC)。如果需要可靠的数学模型来准确预测多年之间以及不同土壤条件下甜菜的生长和产量,那么了解这些变量对作物干物质产量和糖产量的综合影响就很重要。最初的Broom's Barn糖用甜菜生长模型是基于过程的,受天气驱动的,并使用每日时间步模拟。它是根据对布鲁姆(Broom)谷仓生长的甜菜作物的观察结果而开发的,并考虑到这些变量的综合影响,假设该作物的植物种群密度> = 75,000 / ha,提供了充足的养分并且没有杂草,病虫害。扫帚谷仓的土壤通常是沙壤土,AWC约为14%。针对来自英国和德国不同地点的商业田间连续收获数据的模型进行的初步测试表明,原始模型模拟的总干物质和糖产量与AWC <18%的土壤的实地观察结果非常吻合。但是,必须对模型中的三个原始参数进行调整,以准确地模拟AWC> 18%的土壤的总干物质和糖产量。这三个参数是:树叶覆盖率的衰减率-micromin0,截获的辐射转换效率的衰减率-γ和糖分配系数-κ。这三个参数的选择是基于以下观察到的,这些观察是在水充足的情况下进行的:作物叶片覆盖率在达到最大值后以较慢的速度下降;在生长季节后期,农作物冠层截留的辐射利用效率下降的速度较慢,这是因为冠层的较少部分由老树叶组成;分配给糖的总干物质比例降低了。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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