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crop growth     
相关语句
  作物生长
     CO_2 Emission from Soil-Crop System as Influenced by Crop Growth and Tissue N Content
     作物生长和氮含量对土壤-作物系统CO_2排放的影响
短句来源
     SIMULANTION TEST OF CO_2—CROP GROWTH AND PHTOSYNTHETIC MODEL
     CO_2-作物生长模拟实验及光合模型
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     Simulation of winter wheat growth by using ALMANAC crop growth model
     用ALMANAC作物生长模型模拟冬小麦生长
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     The treatment 4 (125.7g/pot)can decrease the soil EA, while increase the soil pH、CEC、TEB、S% and promote crop growth in the trial .
     处理4(125.7g/pot)在试验期间能降低土壤EA,提高土壤pH、CEC、交换性盐基总量、盐基饱和度和促进作物生长
短句来源
     The treatment 2(31.4g/pot) can decrease the soil EA, while increase the soil pH、CEC、TEB、S% and promote crop growth for the first and second year.
     处理2(31.4g/pot)在试验处理1在试验第一年、第二年都能降低土壤EA,提高土壤pH、CEC、交换性盐基总量、盐基饱和度和促进作物生长
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  作物生长的
     The difference of greenhouse gas fluxes was related with the chemical properties and crop growth after long-term fertilization. Soil CO2 emissions were in the increasing order of CK,NK,PK,NP and NPK. There was no significant difference of CH4 fluxes among different treatments.
     平均排放通量的分析表明,长期不同肥料配合施用后形成的不同肥力的土壤以及作物生长的差异是影响土壤温室气体排放的一个重要因素,土壤CO2平均排放通量顺序依次为CK
短句来源
     P-dissolving Penicillium oxalicum P8 was isolated previously in this lab which has a considerable ability to dissolve many kinds of inorganic phosphorus and improve crop growth.
     草酸青霉菌P8(Penicillium oxalicum)溶磷菌株具有较强的溶解多种无机难溶磷的能力和促进作物生长的作用。
短句来源
     Based on crop growth characteristics and the main factors influenced crop yields, a modified Morgan model is developed in this paper established.
     根据作物生长的特点及影响作物产量的主要因素 ,采用相对腾发量作为水分亏缺影响函数 ,并引入肥料效应函数 ,建立了修正 Morgan模型。
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     The results show that N. P is the limiting factors on crop growth, and the supplied N.
     结果表明N、P是棕紫泥土作物生长的主要影响因子,补充N、P是增产的重要措施;
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     Effects of different application rates of 3,5-dimethylpyrazole on soil ammonium nitrification and crop growth
     3,5-二甲基吡唑对铵态氮硝化及作物生长的影响
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  作物生长发育
     System simulation of crop growth and development has been a booming technique in the last forty years.
     作物生长发育过程的计算机模拟(简称作物模拟)是近40年来迅速发展起来的一项新技术。
短句来源
     Effect of different tillage on soil environment and crop growth in cold area
     冷凉地区不同耕作措施对土壤环境和作物生长发育的影响
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     Characteristics of Soil Temperature and Soil Water under Different Tillage Patterns and Effect on Crop Growth in North China Plain
     华北平原不同耕作方式的土壤水热特征及其对作物生长发育影响
短句来源
     A combined soil water-heat-nitrogen and crop growth simulation model was established and validated based on the field data. It's found that the simulated values on soil water and nitrogen content fit well with the observed ones.
     将作物生长发育模型与土壤水、热和氮联合运移模型进行整合,建立土壤水、热、氮和作物生长联合数学模型并进行验证,并采用夏玉米—冬小麦的田间试验资料对该模型进行了验证,结果表明该模型对作物生长和土壤水、氮行为的模拟值与实测值吻合较好,可用于区域水、氮联合运移模拟;
短句来源
     It is a core technology of greenhouse environment and crop growth and development precise control and quantitative management.
     建立温室园艺作物生长模型,是进行温室环境和作物生长发育精确化控制和定量化管理的核心技术。
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  作物生育
     Applications of B-P Neural Network to Crop Growth Dynamic Simulation
     B-P神经网络在作物生育动态模拟中的应用
短句来源
     The rank of precipitation is Krigingcrop growth seasons.
     降水的平均绝对误差是Kriging作物生育期3~11月分别为:17.19%和20.01%。
短句来源
     On the slight sandy loam with its thickness of being over 40 cm and when the amount of precipitation is over 200mm, and soil moisture is over 8% in the crop growth and development stage, applying chemical fertilizer to the fields can have a good effect of yield increase.
     轻沙壤土、土层厚度大于40cm、作物生育期降水在200mm以上,土壤含水量在8%以上时,施用化肥,增产效果较好。
短句来源
     When wind speed increases in 20% of crop growth season(from April to October),ET_0 will vary in a range of 2.9% ~ 8.0%. Value added of ET_0 from April to June takes the 61.9% of all crop growth season.
     当风速增加20%时,作物生育期内(4~10月份)ET0增加3.9%~8.0%,春夏之交4~6月份ET0增加值占全生育期的61.9%;
短句来源
     GM(1,1)differential equation of the precipitation time series of crop growth period was attained based on grey theory. The self-memory grey model for predicting precipitation of crop growth period was established;
     根据灰色系统理论得出作物生育期降雨序列的GM(1,1)微分方程,建立了作物生育期降雨量的灰色自记忆预测模型.
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  crop growth
The integration between remote sensing data and crop growth simulation model is an important trend for yield estimation and prediction, since remote sensing can provide information on the actual status of the agricultural crop.
      
Potential growth of two widely-grown hybrid rice varieties in the Jinhua district of Zhejiang Province, Shanyou63 for mid-rice and Xieyou46 for late rice, was simulated using a crop growth model of WOFOST.
      
The implemented system can be used for evaluating individual and comprehensive management strategies based on the results of crop growth simulation under various environments and different genotypes.
      
These GMDSSCM systems have realized dynamic prediction of crop growth and decision making on cultural management, and thus should be helpful for the construction and application of informational and digital farming system.
      
Where crop growth is adversely affected by diseases, competition from weeds or poor management, the full benefit of insecticide spray programmes cannot be realised.
      
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