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  Location: Home >> Key Laboratories >> HeBei Key Laboratory for Warter-Saving Agriculture(LWSA)
Heibei Key Laboratory for Water-saving Agriculture was founded in 2005 by the Science and Technology Department of Hebei Province. Based on this laboratory, Key Laboratory of Agricultural Water Resources of Chinese Academy of Science was established in 2008.
This two laboratories focus on improving agricultural water use efficiency in individual, field and regional levels, guaranteeing food security in North China, achieving sustainable development of agriculture, carrying on theoretical and technological innovation of high efficient use on agricultural water resources, providing theoretical and technical support for regional shortage of agricultural water resources.
DIRECTOR: Yanjun Shen
VICE DIRECTORS: Xiying Zhang, Shiqin Wang
PRINCIPAL INVESTIGATORS: Diaoguo An, Jiansheng Cao, Chunsheng Hu, Xiaofang Li, Binbin Liu, Jintong Liu, Mengyu Liu, Xiaojing Liu, Lin Ma, Yonghui Yang, Wanjun Zhang, Zhengbin Zhang
STRATEGIC COMMITTEE: Zhensheng Li, Changming Liu, Lun Shan, Junliang Tian, Guihai Wang
CHAIR: Dahe Qin
VICE CHAIRS: Bojie Fu, Chunsheng Hu
MEMBERS: Wenjun Ding, Shaozhong Kang, Xiaoyan Li, Xurong Mei, Huijun Wang, Jianhua Wang, Yanfen Wang, Fengchang Wu, Jun Xia, Zhenghui Xie, Yonghui Yang, Zhaoji Zhang
Substantial progresses in several aspects have been achieved by the key laboratory in 2016. The Director and the Scientific Steering Committee of the key laboratory were changed. A development plan of the laboratory for the 13th Five-Year was made this year. A second class prize of Natural Science Award in Hebei Province was won by the key Lab., and 31 SCI papers were published. Dr. Xiaofang Li was recruited and founded by the CAS Hundred Talents Program. The main achievements of the laboratory in 2016 are as follows:
Crop Physiological and Genetic Basis for High Efficient Water Use: Zhengbin Zhang and his coworkers used microarray hybridization to analyze the transcriptomic reprogramming of the diploid wild einkorn wheat Triticum urartu, which provides A genome to common and durum wheat species, subjected to water deprivation and resupply. A large number of genes responsive to water stress were identified, and confirmed that some important metabolic processes were affected by water stress, such as carbohydrate metabolism, photosynthesis, cell wall metabolism, and oxidative phosphorylation. Diaoguo An’s group used a population of 131 F16 RILs derived from a cross 200 “Chuan 35050 × Shannong 483” to investigated under well-watered (WW) and drought stress (DS) environments across 2 years to map quanti tative trait loci (QTLs) for yield and physiological traits. A total of 225 QTLs were detected, including 32 nonenvironment- specific loci that were significant in both DS and WW.
Hydrological Process in Farmland: Xiying Zhang’ group summarized a long-term field experiment (from 1987 to 2015, 28 growing seasons of winter wheat) on the responses of winter wheat to different levels of water stress under the changing background of cultivars, soil fertility and weather conditions at a site in the North China Plain. This research proved that one irrigation application from recovery to jointing for winter wheat could achieve relative stable yield and a rather high WUE through 28 seasons and should be taken as optimized irrigation scheduling under limited water supply condition. Yonghui Yang’ group developed a new model for estimating the Priestley–Taylor coefficient incorporating the effects of three easily obtainable parameters such as leaf area index, air temperature, and mulch fraction based on evapotranspiration partition and plant physiological limitation. The modified model has a high accuracy and could be used for evapotranspiration estimation under plastic mulch condition.
Optimal Allocation of Regional Agricultural Water Resources: Yanjun Shen and his collaborators predicted potential future climate trends based on CMIP5 simulations and estimated the water availability and agricultural water demand under future climate change scenarios in the arid region of northwestern China. According to a comparison of simulated irrigation water demand under three adaptation strategy scenarios, they found it is necessary to take effective measures such as improving the efficiency of irrigation water utilization, reducing crop planting areas and adjusting crop planting structures to alleviate the impacts of future climate changes on the water use. Shiqin Wang’s group investigated the sources of nitrate contamination in groundwater and its migration law from piedmont area to the North China Plain. A combination of multiple regression and multi-tracer methods were used to confirm that the change of land use in mountain area is the key factor influencing the content of nitrate in groundwater of this area.