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Effects of Different Factors on Biological Yield of Fodder Soybean(Glycine max(L.) Merr.) in Autumn Idle Land
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作者 刘环 王新栋 +4 位作者 王富贵 王新玉 周汉章 夏雪岩 侯升林 《Agricultural Science & Technology》 CAS 2015年第4期679-686,共8页
Objective] The alm was to study the high-yield cuItivation technique of fodder soybean(Glycine max (L.) Merr.) in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitro... Objective] The alm was to study the high-yield cuItivation technique of fodder soybean(Glycine max (L.) Merr.) in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitrogen (N), phosphorus (P) and potassium (K) of fodder soybean seeding in autumn idIe Iand were compared using orthogonal experiment method and LSD method of PASW 18 statistics software. [Results] The resuIts showed that density, Iine spacing and K2O had important ef-fects on bioIogical yield of fodder soybean in autumn idIe Iand. Moreover, the opti-mum proposal for high-yield matching cuItivation technique of fodder soybean in au-tumn idIe Iand was determined as foI ows: pIanting density was 75 &#215;104 pIants/hm2;300 kg/hm2 N, 112.5 kg/hm2 P2O5 and 375 kg/hm2 K2O were viewed as basic fertiIiz-ers; the seedIing styIe was sowing in driI with the Iine spacing of 50 cm. In the proposal, fresh and hay grass yields were 6 661.67 and 2 723.64 kg/hm2, respec-tiveIy, which increased by 24.17% and 27.63% respectiveIy compared to the second fine combination. [Conclusions] The resuIts provided a theoretical basis and technical support for the production of fodder soybean in autumn idIe Iand. 展开更多
关键词 Autumn idle land Fodder soybean Blological yleld
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Effects of Different Sowing Times on Plant Height, Leaf Stem Ratio and DW/FW Ratio of Forage Sorghum in Autumn Idle Land 被引量:5
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作者 ZHOU Han-zhang LIU Huan +4 位作者 JIA Hai-yan ZHOU Xin-jian WEI Zhi-min LI Shun-guo LIU Hai-zhong 《Agricultural Science & Technology》 CAS 2018年第2期57-66,共10页
The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing tim... The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were simulated and compared by employing field plot experiment and linear regression analysis. [Result] The sowing time had a great impact on plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. With the delay of sowing time, the plant height and DW/FW ratio of forage sorghum decreased, while the leaf stem ratio increased. The regression models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were established: plant height and sowing time, yheight = 234.725- 5.005X; leaf stem ratio and sowing time,ylcaf= 0.096 + 0,019x; DW/FW ratio and sowing time, ydry= 0.305-0.002X. From July 23rd to August 30th, the plant height of forage sorghum was reduced by 5.005 cm, the leaf stem ratio was increased by 0.019 and the DW/FW ratio was reduced by 0.002 in average when hhe sowing time was delayed by one day. [Conclusion] This study provides a theoretical support for the production of forage sorghum in autumn idle land. 展开更多
关键词 Autumn idle land Forage sorghum Sowing time Plant height Leaf stem ratio DW/FW ratio
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Establishment and Analysis of Regression Models between Sowing Time and Plant Productivity, Biological Yield of Forage Sorghum in Autumn Idle Land 被引量:1
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作者 ZHOU Han-zhang LIU Hong-xia +4 位作者 LIU Huan ZHOU Xin-jian WEI Zhi-min HOU Sheng-lin LI Shun-guo 《Agricultural Science & Technology》 CAS 2018年第1期51-58,共8页
[Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing t... [Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing time and plant productivity, biological yield of forage sorghum were simulated and compared by using field experiment and linear regression analysis.[Result] The sowing time had an important influence on the plant productivity and biological yield of forage sorghum in autumn idle land. The plant productivity and biological yield of forage sorghum both decreased with the delay of sowing time.The regression model between plant fresh weight and sowing time was ?fresh=0.618-0.015x; the regression model between plant dry weight and sowing time was ?dry=0.184-0.005x; and the regression model between biological yield and sowing time was yield=29 126.461-711.448x. During July 23rd to August 30th, when the sowing time was delayed by 1 day, the plant fresh weight of forage sorghum was reduced by 0.015 g, the plant dry weight was reduced by 0.005 g, and the yield was reduced by 711.448 kg/hm2. [Conclusion] The three regression models established in this study will provide theoretical support for the production of forage sorghum. 展开更多
关键词 Autumn idle land Forage sorghum Sowing time Plant productivity Biological yield Regression model Regression analysis
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Urban Configuration Analysis of Idle Land Market Based on Game Model
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作者 Jintao LI Yixue LI +2 位作者 Yuling GONG Zhanyong QI Lijing TANG 《Agricultural Science & Technology》 CAS 2014年第9期1605-1609,共5页
In recent years, the speed of urban development becomes faster and faster with expanding of land construction scale, and a lot of idle lands lead to serious land waste. This paper builds game model by carrying out a m... In recent years, the speed of urban development becomes faster and faster with expanding of land construction scale, and a lot of idle lands lead to serious land waste. This paper builds game model by carrying out a market allocation analysis and applying economic game theory to the analysis of current idle land problem; it gets six kinds of results through analyzing the game model of idle land market, and the final Nash equilibrium is(system innovation, publicly traded) through contrastive to help balance the game relationship between government and the user of idle land and raise some new scientific and rational institutions to serve as future references for effective usage of idle land. 展开更多
关键词 idle land Game Model: Market Allocation: Institutional Innovation
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No Land Let Idle
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作者 LAN XINZHEN 《Beijing Review》 2010年第4期30-31,共2页
China steps up efforts to combat land hoarding to alleviate housing price hikes China’s real estate developers are under pressure from land administrators taking a harder stance against idle land-land purchased fo... China steps up efforts to combat land hoarding to alleviate housing price hikes China’s real estate developers are under pressure from land administrators taking a harder stance against idle land-land purchased for a specific project but left undeveloped for an extensive period of time. The Ministry of Land and Resources (MLR) said real estate develop- 展开更多
关键词 MLR No land Let idle
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