首页> 外文期刊>Transactions of the ASABE >IRRIGATION SCHEDULING BASED ON CROP CANOPY TEMPERATURE FOR HUMID ENVIRONMENTS
【24h】

IRRIGATION SCHEDULING BASED ON CROP CANOPY TEMPERATURE FOR HUMID ENVIRONMENTS

机译:基于作物冠层温度的潮湿环境灌溉计划

获取原文
获取原文并翻译 | 示例
           

摘要

The use of infrared thermometers (IR) to measure canopy temperatures for irrigation scheduling has been successfully applied in arid environments. Functionality of this technique in humid areas has been limited due to the presence of low vapor pressure deficits (VPD) and intermittent cloud cover. This study evaluated an alternate scheduling method for humid environments based on comparing measured canopy temperature with calculated canopy temperature of a well-watered crop. Irrigation was applied when the measured canopy temperature was greater than the predicted canopy temperature for more than three consecutive hours on two consecutive days. This method was evaluated against well-watered, semi-stressed, and dryland treatments of corn, soybean, and cotton on the basis of yield, irrigation amount, and irrigation water use efficiency (IWUE). Canopy temperature was underpredicted when the VPD was greater than 2 kPa. Limiting data to conditions when the solar radiation was greater than 200 W m(-2) and the Richardson number was less than 0.2 resulted in very good prediction of canopy temperatures for cotton and soybean, particularly in the later growing period, but corn temperatures were consistently underpredicted. Although soybean and cotton yields were not significantly different across treatments, IWUE was improved for corn and cotton by use of this technique. Corn yield was greater for the well-watered crop, but the IR method resulted in 85% of the maximum yield while requiring less than 50% of the irrigation water. Results from this study suggest that the threshold temperature may be up to 1 degrees C greater for corn and soybean and up to 0.5 degrees C greater for cotton for humid compared to arid environments. This method shows potential as a tool for irrigation scheduling in humid environments. Further work is suggested to determine if conditions of excessive cloud cover and high VPD can be better accommodated, and to refine the threshold temperatures for corn, soybean, and cotton for humid environments.
机译:使用红外温度计(IR)来测量冠层温度以进行灌溉计划已在干旱环境中成功应用。由于存在低蒸气压缺陷(VPD)和间歇性云层覆盖,该技术在潮湿区域的功能受到限制。这项研究通过比较测得的冠层温度与计算得出的灌溉良好的冠层温度,评估了在潮湿环境中的另一种调度方法。当测得的冠层温度连续两天超过三个连续小时,且测得的冠层温度大于预测的冠层温度时,进行灌溉。根据产量,灌溉量和灌溉用水效率(IWUE),针对玉米,大豆和棉花的水分充足,半胁迫和干旱的土地处理,评估了该方法。当VPD大于2 kPa时,冠层温度被低估。将数据限制在太阳辐射大于200 W m(-2)且Richardson数小于0.2的条件下,可以很好地预测棉花和大豆的冠层温度,特别是在生长后期,但玉米温度为始终被低估。尽管大豆和棉花的产量在不同处理之间没有显着差异,但通过使用该技术,玉米和棉花的IWUE有所提高。水分充足的农作物的玉米单产较高,但是IR法导致最大单产的85%,而灌溉水却不到50%。这项研究的结果表明,与干旱环境相比,玉米和大豆的阈值温度可能高出1摄氏度,而棉花的阈值温度可能高出0.5摄氏度。这种方法显示了在潮湿环境中作为灌溉计划工具的潜力。建议进行进一步的工作,以确定是否可以更好地适应云量过多和高VPD的条件,并完善潮湿环境下玉米,大豆和棉花的阈值温度。

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