• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Annual Australian Society of Sugar Cane Technologists Conference >IRRIGATION SCHEDULING IN THE CENTRAL REGION: MAKING EVERY DROP COUNT
【24h】

IRRIGATION SCHEDULING IN THE CENTRAL REGION: MAKING EVERY DROP COUNT

机译：中部地区灌溉调度：每次跌落计数

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Limited water supplies have a significant impact on sugarcane yields across the Australian sugarcane industry and, in particular, the Central region. Applying irrigation water at the right time, to maximise yield, is a difficult task and traditional irrigation scheduling tools provide little assistance. This paper reports how crop modelling was used to develop 'best-bet' irrigation guidelines for the Central region. These guidelines reduce the risk that irrigations will occur either too early or toolate and, in doing so, increase the chance of maximising yields for a given allocation. The sugarcane crop model, WaterSense, was used to simulate twelve month old ratoon crops grown on three different soil types, with five irrigation allocations. Four climate zones were used to represent the geographical spread of the region. The modelling clearly shows that irrigators would improve yields if geographic locality and soil water holding capacity was taken into consideration when scheduling limited irrigation. The modelling also highlighted the yield penalty that could result if irrigators took a conservative approach to irrigating by saving irrigation water for a possible drought in the future. Best-bet guidelines have been developed for use in conjunction with the web-based irrigation scheduling crop model, WaterSense.
机译：有限的水供应对澳大利亚甘蔗产业的甘蔗产量产生重大影响，特别是中央区域。在合适的时间应用灌溉水，以最大限度地提高产量，是一项艰巨的任务，传统的灌溉调度工具提供了很少的帮助。本文报道了如何使用作物建模来开发中央区域的“最佳投注”灌溉指南。这些指导方针降低了灌溉的风险，灌溉将发生太早或刀具，并且在此过程中，增加了最大化给定分配的收益率的可能性。 Watersense的甘蔗作物模型用于模拟在三种不同土壤类型上生长的十二个月大的Ratoon作物，五种灌溉分配。使用四个气候区代表该地区的地理扩张。建模清楚地表明，如果在调度有限灌溉时考虑了地理位置和土壤水持续能力，灌溉器会提高产量。建模还强调了可能导致灌溉者采取保守方法来促进灌溉的灌溉水，以便在未来的可能干旱中促进灌溉。已经开发了最佳预订指南，与基于Web的灌溉调度作物模型一起使用，Watersense。

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