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Predicting spring wheat yields based on water use-yield production function in a semi-arid climate

文献类型：期刊论文

作者Zhao, Funian1,2,3; Wang, Runyuan3; Zhang, Kai3; Lei, Jun4; Yu, Qiang5,6,7
刊名SPANISH JOURNAL OF AGRICULTURAL RESEARCH
出版日期2019
卷号17期号:2页码:12
关键词soil water precipitation attainable yield agricultural management mulching
ISSN号1695-971X
DOI10.5424/sjar/2019172-14699
通讯作者Zhao, Funian(zhaofn@iamcma.cn) ; Yu, Qiang(yuq@igsnrr.ac.cn)
英文摘要Grain yield of spring wheat (Triticum aestivum L.) fluctuates greatly in Western Loess Plateau of China due to limited and highly variable precipitation. Farmers in this area need a simple tool to predict spring wheat grain yield and assess yield loss risk efficiently. The objectives of this study were to establish relations between water use and grain yield of spring wheat for predicting actual yield and attainable yield (water limited yield) under conventional management practice and mulching practices. Reference data during 19932013 and field experiment conducted from 1987 to 2011 were used to determine water use-yield production function and boundary function for spring wheat. Probability of achieving a given spring wheat grain yield threshold is determined based on available soil water content at sowing plus expected precipitation during growing season. Single linear equation was obtained with slope of 14.6 kg ha(-1) mm(-1) and x intercept at 126.3 mm for spring wheat water use-yield production function with different wheat varieties under varying climatic patterns. The slopes of the boundary function were 16.2 kg ha(-1) mm(-1) and 19.1 kg ha(-1) mm(-1) under conventional management practice and mulching practices, respectively. With increase of available soil water content at sowing, the probability of achieving at least 2000 and 4000 kg ha(-1) of spring wheat for actual and attainable yield increased under different agricultural management practices.
WOS关键词USE EFFICIENCY ; LOESS PLATEAU ; GRAIN-SORGHUM ; DRYLAND WHEAT ; WINTER-WHEAT ; SOIL ; IRRIGATION ; RESPONSES ; CROPS
资助项目Meteorological Research Program of Gansu Provincial Meteorological Service[GSMAMs2018-14] ; National Natural Science Foundation of China[41775107] ; National Natural Science Foundation of China[41505099] ; China Special Fund for Meteorological Research in the Public Interest (Major projects)[GYHY201506001-2]
WOS研究方向Agriculture
语种英语
WOS记录号WOS:000477721400021
出版者SPANISH NATL INST AGRICULTURAL & FOOD RESEARCH & TECHNOLO
资助机构Meteorological Research Program of Gansu Provincial Meteorological Service ; National Natural Science Foundation of China ; China Special Fund for Meteorological Research in the Public Interest (Major projects)
源URL[http://ir.igsnrr.ac.cn/handle/311030/58239]  
专题中国科学院地理科学与资源研究所
通讯作者Zhao, Funian; Yu, Qiang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.China Meteorol Adm, Key Lab Arid Climat Change & Disaster Reduct Gans, Key Lab Arid Climate Change & Disaster Reduct CMA, Lanzhou Inst Arid Meteorol, Lanzhou 730020, Gansu, Peoples R China
4.Dingxi Meteorol Bur, Dingxi 743000, Peoples R China
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
6.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
7.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
推荐引用方式
GB/T 7714		 Zhao, Funian,Wang, Runyuan,Zhang, Kai,et al. Predicting spring wheat yields based on water use-yield production function in a semi-arid climate[J]. SPANISH JOURNAL OF AGRICULTURAL RESEARCH,2019,17(2):12.
APA Zhao, Funian,Wang, Runyuan,Zhang, Kai,Lei, Jun,&Yu, Qiang.(2019).Predicting spring wheat yields based on water use-yield production function in a semi-arid climate.SPANISH JOURNAL OF AGRICULTURAL RESEARCH,17(2),12.
MLA Zhao, Funian,et al."Predicting spring wheat yields based on water use-yield production function in a semi-arid climate".SPANISH JOURNAL OF AGRICULTURAL RESEARCH 17.2(2019):12.

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来源：地理科学与资源研究所

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