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关于麦生素数有无穷多问题
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作者 韩文法 《南都学坛(南阳师专学报)》 1997年第3期65-66,共2页
关键词 麦生素数 无穷多问题 麦生数
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Changes of Soil Microbial Biomass C and P During Wheat Growth After Application of Fertilizers 被引量:3
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作者 SHEN QIRONG WANG YAN CHEN WEI and SHI RUIHE Nanjing Agricultural University, Nanjing 210095 China) 《Pedosphere》 SCIE CAS CSCD 1997年第3期225-230,共6页
A pot experiment was carried out with a clay loam in a green house. The results showed that soil microbial biomass C increased with the application of organic manure at the beginning of the experiment and then gradual... A pot experiment was carried out with a clay loam in a green house. The results showed that soil microbial biomass C increased with the application of organic manure at the beginning of the experiment and then gradually decreased with declining of the temperature. The soil biomass C increased at the tillering stage when the temperature gradually increased, and rose to the highest value at the anthesis stage, being about 554.9-794.4 mg C kg-1. The application of organic manure resulted in the highest increase in biomass C among the fertilization treatments while that of ammonium sulphate gave the lowest. At the harvest time the soil biomass C decreased to the presowing level. Like the soil biomass C the amount of biomass P was increased by the incorporation of organic manure and was the highest among the treatments, with the values of the check and ammonium sulphate treatments being the lowest. Meanwhile, the changing patterns of the C/P ratio of soil microbial biomass at stages of wheat growth are also described. 展开更多
关键词 C/P ratio soil microbial biomass C and P winter wheat
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A Novel Method for Determining Microbial Kinetics
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作者 Anne M. Talkington Floyd L. Inman III Leonard D. Holmes 《Journal of Life Sciences》 2013年第8期787-790,共4页
Understanding microbial growth is essential to any research conducted in the fields of microbiology and biotechnology. Current methods of determining growth characteristics of microbes involve subjective graphical int... Understanding microbial growth is essential to any research conducted in the fields of microbiology and biotechnology. Current methods of determining growth characteristics of microbes involve subjective graphical interpretations of linearized logarithmic data. Reducing error in logistical data decreases disparity between graphical and analytical predictions of microbial characteristics. In this study, a method has been developed to calculate the kinetics of microbial characteristics utilizing a modified Maclaurin series. Convergence of this series approaches the true kinetic value of microbial characteristics to include specific growth rates. In this research, a modified Maclaurin series is used to evaluate microbial kinetics in comparison to graphical determinations. 展开更多
关键词 Microbial kinetics Maclaurin series microbial growth models series convergence.
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Comparative Analysis of Energy Efficiency in Wheat Production in Different Climate Conditions of Europe
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作者 Janusz Gotaszewski Marcel van der Voort +3 位作者 Andreas Meyer-Aurich Fatima Baptista Athanasios Balafoutis Hannu Juhani Mikkola 《Journal of Agricultural Science and Technology(B)》 2014年第8期632-640,共9页
This paper presents results concerning energy efficiency of wheat production considered in the context of specific energy input variation in different climatic conditions of Europe as well as case studies on implement... This paper presents results concerning energy efficiency of wheat production considered in the context of specific energy input variation in different climatic conditions of Europe as well as case studies on implementation of selected energy saving measures in practice. The source data collected from the six european union (EU) countries represent five agricultural regions of continental Europe and three climates: continental, temperate and Mediterranean. The life cycle assessment (LCA) methodology was applied to analyze the data excluding of pre-farm gate activities. The total primary energy consumption was decomposed into main energy input streams and it was regressed to yield. In order to compare energy efficiency of wheat production across the geographical areas, the data envelopment analysis (DEA) was applied. It was shown that the highest wheat yield (6.7 t/ha to 8.7 t/ha) at the lowest specific energy input (2.08 GJ/t to 2.56 G J/t) is unique for temperate climate conditions. The yield in continental and Mediterranean climatic conditions is on average lower by 1.3 t/ha and 2.7 t/ha and energy efficiency lower by 14% and 38%, respectively. The case studies have shown that the energy saving activities in wheat production may be universal for the climatic zones or specific for a given geographical location. It was stated that trade-offs between energy, economic, and environmental effects, which are associated with implementation of a given energy saving measure or a set of measures to a great extent depend on the current energy efficiency status of the farm and opportunity for investment, which varies substantially across Europe. 展开更多
关键词 WHEAT energy efficiency trade-off analysis
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The effect of 2, 4-Dichlorophenoxy acetic acid and Bradyrhizobium on induction of Para-nodule in wheat roots
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作者 Nagaraja R. Gurumurthy B. R. Devappa V 《Journal of Agricultural Science and Technology》 2009年第8期14-16,共3页
The investigation was conducted to know the effect of 2, 4-Dichlorophenoxy acetic acid and inoculation on Para-nodule formation and growth parameters in wheat. Formation of nodular outgrowth on the roots of wheat seed... The investigation was conducted to know the effect of 2, 4-Dichlorophenoxy acetic acid and inoculation on Para-nodule formation and growth parameters in wheat. Formation of nodular outgrowth on the roots of wheat seedlings treated with 2, 4-D commenced in 8-10 days. The maximum Para-nodule formation was found in 1 ppm of 2, 4-D when incubated with bradyrhizobium P-132. Inoculation of the same has helped to increase the number of Para-nodule, but not essential for Para-nodulation. Histological study shows that, these induced Para-nodules originated from the pericycle and these are appeared to be modified lateral roots and Para-nodule structure formations however, it enhanced by bradyrhizobial inoculation. 展开更多
关键词 Para-nodule 2 4-D PERICYCLE N-FIXATION
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Identification of QTLs for yield and yield components of barley under different growth conditions 被引量:3
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作者 Da-wei XUE Mei-xue ZHOU +6 位作者 Xiao-qin ZHANG Song CHEN Kang WEI Fan-rong ZENG Ying MAO Fei-bo WU Guo-ping ZHANG 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2010年第3期169-176,共8页
Waterlogging is a major abiotic stress limiting barley (Hordeum vulgare L.) yield and its stability in areas with excessive rainfall.Identification of genomic regions influencing the response of yield and its componen... Waterlogging is a major abiotic stress limiting barley (Hordeum vulgare L.) yield and its stability in areas with excessive rainfall.Identification of genomic regions influencing the response of yield and its components to waterlogging stress will enhance our understanding of the genetics of waterlogging tolerance and the development of more tolerant barley cultivars.Quantitative trait loci (QTLs) for grain yield and its components were identified using 156 doubled haploid (DH) lines derived from a cross between the cultivars Yerong (waterlogging-tolerant) and Franklin (waterlogging-sensitive) grown under different conditions (waterlogged and well drained).A total of 31 QTLs were identified for the measured characters from two experiments with two growth environments.The phenotypic variation explained by individual QTLs ranged from 4.74% to 55.34%.Several major QTLs determining kernel weight (KW),grains per spike (GS),spikes per plant (SP),spike length (SL) and grain yield (GY) were detected on the same region of chromosome 2H,indicating close linkage or pleiotropy of the gene(s) controlling these traits.Some different QTLs were identified under waterlogging conditions,and thus different markers may have to be used in selecting cultivars suitable for high rainfall areas. 展开更多
关键词 Barley (Hordeum vulgare L.) Waterlogging tolerance YIELD Quantitative trait locus (QTL)
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