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39篇 您的检索式:作者名="Quanjiu"
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1Optimizing water and nitrogen inputs for winter wheat cropping system on the Loess Plateau,China显示文摘Optimal use of water and fertilizers can enhance winter wheat yield and increase the efficiencies of water and fertilizer usage in dryland agricultural systems.In order to optimize water and nitrogen(N)management for winter wheat,we conducted field experiments from 2006 to 2008 at the Changwu Agro-ecological Experimental Station of the Chinese Academy of Sciences on the Loess Plateau,China.Regression models of wheat yield and evapotranspiration(ET)were established in this study to evaluate the water and fertilizer coupling effects and to determine the optimal coupling domain.The results showed that there was a positive effect of water and N fertilizer on crop yield,and optimal irrigation and N inputs can significantly increase the yield of winter wheat.In the drought year(2006–2007),the maximum yield(Ymax)of winter wheat was 9.211 t/hm2for the treatment with 324 mm irrigation and 310 kg/hm2N input,and the highest water use efficiency(WUE)of 16.335 kg/(hm2 mm)was achieved with198 mm irrigation and 274 kg/hm2N input.While in the normal year(2007–2008),the maximum winter wheat yield of 10.715 t/hm2was achieved by applying 318 mm irrigation and 291 kg/hm2N,and the highest WUE was 18.69kg/(hm2 mm)with 107 mm irrigation and 256 kg/hm2N input.Crop yield and ET response to irrigation and N inputs followed a quadratic and a line function,respectively.The optimal coupling domain was determined using the elasticity index(EI)and its expression in the water-N dimensions,and was represented by an ellipse,such that the global maximum WUE(WUEmax)and Ymax values corresponded to the left and right end points of the long axis,respectively.Considering the aim to get the greatest profit in practice,the optimal coupling domain was represented by the lower half of the ellipse,with the Ymax and WUEmax on the two end points of the long axis.Overall,we found that the total amount of irrigation for winter wheat should not exceed 324 mm.In addition,our optimal coupling domain visually reflects the optimal range of water and N inputs for the maximum winter wheat yield on the Loess Plateau,and it may also provide a useful reference for identifying appropriate water and N inputs in agricultural applications.QiuPing FU QuanJiu WANG XinLei SHEN Jun FAN 2014Journal of Arid Land2014,6,2:8
2Evaluation of irrigation water salinity and leaching fraction on the water productivity for crops显示文摘In arid and semi-arid irrigated croplands,the excessive accumulation of soluble salts in the root zone is an extensive problem that seriously limits crop yield and water productivity(WP).To avoid affects the yield potential of crops,the application of extra irrigation for leaching of excessive salts from the root zone was required.Quantitative knowledge of effects of the irrigation water salinity and leaching fraction(LF)on the relative yield(RY)and the unit water productivity of crop evapotranspiration(UWPET)and the unit water productivity of irrigation water(UWPI)were becoming gradually important.This article provided theoretical models for estimating the UWPs(UWPET and UWPI)and optimizing leaching fraction according to irrigation water salinity.In the present study,eight levels of irrigation water salinity(ECw=0.25,0.50,0.75,1,2,3,4,and 5 dS/m)and 39 levels of LF values ranging from 0.04 to 0.80 were set and tested to assessing their effects on the RY and UWPs for four typical crops(barley,bean,wheat,and maize)with different salt tolerance levels.Almost every curve determined between the UWPs and LFs for the four crops had an inflection point.It was indicated that the UWPET and UWPI could be maximized by optimizing the LF under different irrigation water salinities.Furthermore,the linear regression relationships were established to estimate the maximum values of UWPs and their corresponding optimal LFs for four crops by using the irrigation water salinity.Moreover,the theoretical models for estimating the UWPs were validated by data of wheat from previous literature,and the models could be suitable with acceptable relative errors when LFs ranging from 0.07 to 0.17.Songrui Ning Beibei Zhou Quanjiu Wang Wanghai Tao 2020International Journal of Agricultural and Biological Engineering2020,13,1:2
3Effects of infiltration time on the calculated sorptivity with White method for a sandy loam soil显示文摘Hu Wei Wang Quanjiu Shao Ming'an 2011Afr J Agric Res2011,6,19:1
4Mathematical analysis of heat pulse signals for soil water flux determination显示文摘Wang Quanjiu Ochsner T E Horton R 2002Water Resources Research2002,8,6:1
5A modified Green-Ampt Equation for layered soils and muddy water infiltration显示文摘Wang Quanjiu Shao Mingan Robert Horton 1999Soil Science1999,164,7:1
6Effective raindrop kinetic energy influence on soil potassium transport into runoff显示文摘Wang Quanjiu Horton Robert Shao Ming 2002Soil Science2002,167,6:1
7Modified Green-Ampt models for layered soil infiltration and muddy water infiltration显示文摘Wang Quanjiu Shao Mingan Robert Horton 1999Soil Science1999,164,7:1
8Logisticmodel analysis of winter wheat growth on China’s LoessPlateau显示文摘Wang Xiangxiang Wang Quanjiu Fan Jun 2014Canadian Journal of Plant Science2014,94,8:1
9Temporal changes of soil hydraulic properties under different land uses 显示文摘Hu Wei Shao Mingan Wang Quanjiu 2009Geoderma2009,149,:1
10Toward sustainable soil and water resources use in China's highly erodible semi-arid Loess Plateau显示文摘Fan Jun Shao Ming'an Wang Quanjiu 2010Geoderma2010,155,12:1
11Mathematical analyses of heat signal for soil water flux determination显示文摘Quanjiu Wang Tyson E Ochsner 2002Water Resources Research2002,,37:1
12Algebraic model for one-di- mensional infiltration and soil water distribution 显示文摘Wang Quanjiu Horton R Shao Mingan 2003Soil Sciences2003,168,10:1
13ALGEBRAIC MODEL FOR ONE-DIMENSIONAL INFILTRATION AND SOIL WATER DISTRIBUTION显示文摘Quanjiu Wang Robert Horton Mingan Shao 2003Soil Science2003,,10:1
14Soil on natural and re-grown areas显示文摘Wang Li Wang Quanjiu desiccation for loess soils Wei Sanping 2008Forest Ecology and Management2008,255,7:1
15Soil desiccation for Loess soils on natural and regrown areas显示文摘Li Wang Quanjiu Wang Sanping Wei Ming’an Shao Yi Li 2008Forest Ecology and Management2008,,7:1
16Horizontal infiltration method for determining Brooks-Corey model parameters 显示文摘Quanjiu Wang Robert Horton Mingan Shao 2002Soil Science Society of America Journal2002,66,:1
17Temporal changes of soil hydraulic properties under different land uses显示文摘Hu Wei Shao Mingan Wang Quanjiu 2009Geoderma2009,149,34:1
18Flow Hydraulic Characteristic Effect on Sediment and Solute Transport on Slope Erosion显示文摘Guo Tailong Wang Quanjiu Li Dingqiang 2013Catena2013,107,:1
19Algebraic model for onedimensional infiltration and soil water distributio 显示文摘Wang Quanjiu Horton Robert Shao Ming*an 2003Soil Science2003,168,10:1
20A simple model relating soil water characteristic curve and solution breakthrough curve显示文摘Wang Quanjiu Horton R Lee J 2002Soil Science2002,167,7:1
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