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基于大尺度水肥耦合模型估算新疆膜下滴灌棉花生产潜力(英文)
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  • 英文篇名:Mulched drip irrigation cotton yield potential estimation based on large-scale water-nitrogen coupling model in Xinjiang,China with limits of water resources
  • 作者:赵爱琴
  • 英文作者:Zhao Aiqin;Chinese Academy of Agricultural Engineering, Postdoctoral Scientific Research Stations of Chinese Academy of Agricultural Engineering, Chinese Society of Agricultural Engineering;
  • 关键词:棉花 ; 灌溉 ; 肥料 ; 水氮模型 ; 膜下滴灌 ; 新疆
  • 英文关键词:cotton;;irrigation;;fertilizers;;water-nitrogen model;;mulched drip irrigation;;Xinjiang,China
  • 中文刊名:农业工程学报
  • 英文刊名:Transactions of the Chinese Society of Agricultural Engineering
  • 机构:农业部规划设计研究院,农业部规划设计研究院博士后科研工作站;中国农业工程学会;
  • 出版日期:2019-03-08
  • 出版单位:农业工程学报
  • 年:2019
  • 期:05
  • 基金:National Natural Science Foundation of China(41601604);; Elite Journal of CAST(Contributing to Research Subject Development in Agricultural Engineering)
  • 语种:英文;
  • 页:119-126
  • 页数:8
  • CN:11-2047/S
  • ISSN:1002-6819
  • 分类号:S562
摘要
在中国棉花主产区新疆,灌溉是农业生产的重要措施,前人研究获得了丰富的试验数据。该研究综合现有田间试验数据,建立了大尺度水-氮耦合模型,估算新疆膜下滴灌棉花的产量潜力,并根据建立的模型,预测有限水资源供应下2020年新疆的棉花产量。从文献收集1998—2016年新疆地区共172组数据。考虑棉花品种、灌水量和施氮量是影响棉花产量的主要因素,首先根据数据可获性和气候条件,将新疆分为南疆和北疆,然后基于棉花品种,分别建立了南疆和北疆大尺度水氮耦合模型。模型验证表明模型是可靠的,北疆地区模型的R2为0.57,归一化均方根误差为11%,一致性指数0.85,南疆地区R2为0.83,归一化均方根误差为8.3%,一致性指数为0.95。根据模型,南疆最佳灌溉和氮肥施用量分别为604 mm和325 kg/hm~2,相应产量潜力为6 773 kg/hm~2;北疆最佳灌溉和氮肥施用量分别为552 mm和354 kg/hm~2,相应产量潜力为5 961 kg/hm~2;根据新疆未来规划(2020),2020年新疆单位面积棉花可获得灌溉水量为494mm,假设2020年肥力最优供应,根据建立的模型,2020年受水资源限制下,北疆和南疆棉籽单产分别为5 900和6 695 kg/hm~2,皮棉总产可达5.2×106 t。2014年皮棉总产约3.7×106 t,为2020年受水资源限制下皮棉产量潜力的71%。该研究可为新疆膜下滴灌的推广和农业水资源规划提供参考。
        In arid Xinjiang of China, a main cotton producing area, irrigation is an important measure of agricultural production, and researches yield rich experimental data. This study aimed to establish a large-scale water-nitrogen coupling model based on comprehensive analysis of existing field experimental data to estimate mulched drip irrigation cotton yield potential in Xinjiang. A total of 172 datasets on Xinjiang from the year of 1998 to 2016 were collected through literature retrieval. They included 19 known cotton varieties with Xinlu as a main variety. Considering data acquisition and climatic conditions, Xinjiang was divided into northern and southern Xinjiang. In each, a water-nitrogen coupling model was established based on random classification of data by different cotton varieties. The model validation showed the model was reliable with determination coefficient(R2) of 0.57, normalized root mean square of error of 11%, and concordance index of 0.85 in the northern region, and R2 of 0.84, normalized root mean square of error of 8.3%, and concordance index of 0.95 in the southern Xinjiang, respectively. Based on the model, the optimal irrigation was 604 and 552 mm in the southern and northern Xinjiang, respectively, and the optimal fertilizer-N application rate was 325 and 354 kg/hm~2 in the southern and northern Xinjiang, respectively. Available irrigation amount was 494 mm in 2020 according to Xinjiang 2014—2016 and future planning(2020). Assuming fertilizer-N supply was optimally supplied, based on the established model, the yield potential of the northern and southern Xinjiang was 5 900 and 6 695 kg/hm~2 in 2020 under the limits of water sources, respectively. The total lint yield should be about 5.2×106 t in 2020 in Xinjiang. The actual lint yield in 2014 in Xinjiang was about 3.7×106 t, about 71% of the potential under the limits of water resources. The study can provide valuable information for application of mulched drip irrigation and agricultural water resources planning in Xinjiang.
引文
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