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华北平原7种人工牧草不同气候条件下的耗水规律
引用本文:潘国艳,欧阳竹,罗群英,于强,王吉顺.华北平原7种人工牧草不同气候条件下的耗水规律[J].资源与生态学报(英文版),2011,2(1):74-82.
作者姓名:潘国艳  欧阳竹  罗群英  于强  王吉顺
作者单位:1. 中国科学院生态系统网络观测与模拟重点实验室禹城综合试验站,中国科学院地理科学与资源研究所,北京100101;武汉大学水资源与水电工程科学国家重点实验室,武汉430072;中国科学院研究生院,北京100049
2. 中国科学院生态系统网络观测与模拟重点实验室禹城综合试验站,中国科学院地理科学与资源研究所,北京100101
3. 悉尼科技大学植物功能生态与气候变化组,悉尼,新南威尔士2007,澳大利亚
4. 中国科学院生态系统网络观测与模拟重点实验室禹城综合试验站,中国科学院地理科学与资源研究所,北京100101;悉尼科技大学植物功能生态与气候变化组,悉尼,新南威尔士2007,澳大利亚
基金项目:this study was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KSCX2 -YW-N-46-01)
摘    要:本文主要目的是研究华北平原不同气候条件下7种人工牧草的耗水规律。试验于2005-2009年在中国科学院禹城综合试验站进行,牧草品种有一年生牧草黑麦(Secale cereale L.)、小黑麦(× Triticosecale Wittmack)、高丹草(Sorghum biolor × Sorghum Sudanense c.v.)、青饲玉米(Zea mays L.)和籽粒苋(Amaranthus paniculatus L.),多年生牧草苜蓿(Medicago sativa L.) 和串叶松香草(Silphium perfoliatum L.)。结果显示,苜蓿的Kc值为1.08,其他牧草在0.79-0.94。不同气候条件下的Kc值大小规律为,越年生牧草:湿润〉干旱〉平常;一年生牧草:干旱〉平常〉湿润;多年生牧草:平常〉干旱〉湿润。本文建议青饲玉米和高丹草为夏季播牧草的优选牧草,籽粒苋对气候变化最敏感,干旱和平常季节会减产一半以上。黑麦和小黑麦蒸是冬闲田种植的优选牧草,小黑麦因为耗水量较小,优于黑麦。苜蓿在干旱季节的表现优于串叶松香草,但当降雨达592.9mm以上反而会引起减产。该研究的结果能为牧草在华北平原的种植布局提供科学依据。

关 键 词:牧草品种  蒸散量  作物系数  水分利用效率  气候模式

Water Consumption of Seven Forage Cultivars under Different Climatic Conditions in the North China Plain
PAN Guoyan,OUYANG Zhu,LUO Qunying,YU Qiang,WANG Jishun.Water Consumption of Seven Forage Cultivars under Different Climatic Conditions in the North China Plain[J].Journal of Resources and Ecology,2011,2(1):74-82.
Authors:PAN Guoyan  OUYANG Zhu  LUO Qunying  YU Qiang  WANG Jishun
Institution:1 Yucheng Integrated Experimental Station, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 2 Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, PO Box 123, Broadway, NSW 2007, Australia; 3 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China; 4 Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:The objectives of this study were to determine the characteristics of water consumption of seven forage cultivars, ryegrass (Secale cereale L.), triticale (×Triticosecale Wittmack), sorghum hybrid sudangrass (Sorghum biolor× Sorghum Sudanense c.v.), ensilage corn (Zea mays L.), prince’s feather (Amaranthus paniculatus L.), alfalfa (Medicago sativa L.), and cup plant (Silphium perfoliatum L.), in response to climate variability (especially precipitation). Field experiments were conducted at Yucheng Integrated Experiment Station from 2005 to 2009. Fifteen irrigated lysimeters were used to measure evapotranspiration (ET) and crop coefficient (Kc) of these seven forage varieties under ample water supply. The mean Kc for alfalfa is 1.08, and the mean Kc for other forage varieties ranges from 0.79 to 0.94. Kc for hibernating forage is higher in wet years than that in dry years, followed by normal years, while for annual forage, Kc is higher in dry years than in normal years, and is the lowest in wet years. For perennial varieties the order is normal years, dry years, and wet years. Among the annual varieties, ensilage corn is the first choice due to its highest average forage N yield and water use efficiency (WUE). Sorghum hybrid sudangrass is another forage cultivar that grows well under all climatic conditions. It can achieve 1.08-2.31 t ha-1 y-1 N yield under all circumstances. Prince’s feather is sensitive to climate change and its N yield dropped below half even when ample water was applied in dry and normal years. Ryegrass and triticale have the advantage of growing in the fallow phase after cotton is harvested in the North China Plain (NCP) and the latter performed better. For perennial varieties, alfalfa performed better than cup plant in dry years. With ample irrigation, alfalfa can achieve higher biomass and WUE under arid climate condition, but excessive rain caused reduction in production.
Keywords:forage cultivars  evapotranspiration  crop coefficient  water use efficiency  climatic patterns
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