{"title":"Role of Polyteny in Plant Epigenetic Variability","authors":"S. Kirikovich, E. Levites","doi":"10.17830/J.EAJ.2015.02.073","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.073","url":null,"abstract":"This paper discusses the available data on polyteny in plants and data on the structural and functional organization of the plant genome and its role in epigenetic variability and inheritance. Also discussed the results of our studies on marker enzymes in agamospermous (apomictic) progenies of sugar beet, pointing to the influence of chromosome polyteny on the epigenetic variability of enzyme genes and on the ratios of phenotypic classes of marker enzymes. Сomparison of the known with our experimental data enabled the consideration of differential polyteny of plant chromosomes, not only as a factor of epigenetic variability of gene expression, but also as a factor of evolution of the genome structural organization. Polyteny is considered to be an element of the system of recording hereditary information about epigenetic changes arising during ontogenesis.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"36 1","pages":"73-85"},"PeriodicalIF":0.0,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85051021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"History of Agrophysics: The Creative Activity of Alexander V. Kurtener","authors":"D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2015.02.047","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.047","url":null,"abstract":"This publication discusses the career of Alexander V. Kurtener, a prominent agrophysicist, who elaborated the fundamentals of technology for measuring the absorption / emission of infrared radiation on the surface of the soil. Specifically, he contributed the following to this science: a) Theoretical Basis (he developed the “binary method”, which elaborated a method of measuring soil surface temperature. In addition, he studied the problem of absorption of infrared by gases and vapors, and also developed a method of filtering infrared radiation by using a layer of selenium). b) Technological Basis (he invented a method and designed a device for measuring soil surface temperatures, invented a device for measuring the effective radiation of the earth, proposed a new design for high-sensitivity thermopile, developed selenium filters with good optical properties, and conducted experiments that demonstrated the feasibility of the technology). In cooperation with A.F. Chudnovsky, Alexander V. Kurtener further developed the analytical theory of heat transfer in soil. Also, he developed a number of methods for determining the thermal characteristics of soil.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"18 1","pages":"47-60"},"PeriodicalIF":0.0,"publicationDate":"2015-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87926198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Dragavtsev, I. Dragavtseva, I. Savin, A. S. Morenets, V. V. Domozhirova
{"title":"Geographical Estimation of Agroclimatic Resources of the North Caucasus for the Cultivation of Fruit Trees","authors":"V. Dragavtsev, I. Dragavtseva, I. Savin, A. S. Morenets, V. V. Domozhirova","doi":"10.17830/J.EAJ.2015.02.034","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.034","url":null,"abstract":"The analysis of the suitability of climatic resources in the winter-spring period at the Northern Caucasus territories for the placement of fruit trees (an apricot, a peach) the most vulnerable to the analyzed period was carried out. The coefficients of determination of maximal yields and regularity of fructification by the geographical coordinates and by height over level of sea were estimated. Landscape maps of the optimum placement of an apricot and a peach under the conditions of the overwintering of their floral buds in the territory of the Northern Caucasus are submitted.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"49 1","pages":"34-46"},"PeriodicalIF":0.0,"publicationDate":"2015-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80378931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring influence of spatial variability of soil hydro-physical properties on crop yield","authors":"V. Badenko, V. Terleev","doi":"10.17830/J.EAJ.2015.02.024","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.024","url":null,"abstract":"Utilizing spatial variability in soil properties to make decision of various farming technologies has been explored. The objective of the work is the development of approaches taking into account spatial variability of hydro-physical properties of soils during plant’s production process simulation (wheat crop) using the AGROTOOL – the crop simulation model – in order to support decision making in practical adaptive landscape agriculture. The studies were conducted using a software package, which was based on coupling GIS with AGROTOOL. Impact of spatial variability of soil hydro-physical properties on crop yield has been evaluated.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"23 1","pages":"24-33"},"PeriodicalIF":0.0,"publicationDate":"2015-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82101548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Thermal Imaging in Agriculture and Forestry","authors":"V. Dragavtsev, V. P. Nartov","doi":"10.17830/J.EAJ.2015.01.015","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.01.015","url":null,"abstract":"Thermal imaging visualizes differences in surface temperature by detecting infrared radiation emitted by objects. Thermography has been used for scheduling irrigation, soil salinity detection, detection of diseases and pathogens, estimating yield, maturity evaluation and vegatative damage detection. This paper briefly reviews various studies conducted on application of thermal imaging in agriculture and forestry.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"21 1","pages":"15-23"},"PeriodicalIF":0.0,"publicationDate":"2015-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78703128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HIGH RESIDUE CONSERVATION TILLAGE SYSTEM FOR COTTON PRODUCTION: A FARMER' S PERSPECTIVE","authors":"A. Torbert, S. Prior, Tom Ingram","doi":"10.17830/J.EAJ.2015.01.001","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.01.001","url":null,"abstract":"High residue conservation tillage systems for cotton (Gossypium hirsutum L.) production have been proposed as having the potential to be both economically and environmentally sustainable, and research has indicated that several advantages may exist for conservation tillage systems compared to conventional tillage systems. However, adoption of new farming systems on a regional scale is difficult unless an individual farmer is willing to take the personal risk and demonstrate the sustainability of the new system on a farm. The John T. Ingram and Sons Farm is an example that adopted a high residue conservation tillage system. Located on the Coastal Plains of Alabama, this farm has successfully operated as a high residue conservation tillage system since 1984 and served as an example for other farmers in the region. The following describes the system presently used on the John T. Ingram and Sons Farm and presents their perspectives and observations.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"401 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2015-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77735336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"History of Agrophysics: The Creative Activity of A. F. Chudnovsky","authors":"E. Krueger, D. Kurtener","doi":"10.17830/J.EAJ.2014.01.145","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.145","url":null,"abstract":"A. F. Chudnovsky was a prominent agrophysicist and a pioneer in the heat physics of soil. His primary research interests were thermo-physics of soils, thermo-physical properties of dispersed materials, the thermal conductivity of semiconductors, engineering and physical aspects of thermal soil melioration, and energy and mass transfer in the soil-plant-air system. He also conducted research on physical and technical methods (electronics) in agrophysics, remote sensing of agricultural fields, and agrophysical basics of crop programming. Among these areas of agrophysics, he completed 20 scientific monographs. A. F. Chudnovsky was a talented scholar, a great mentor, and under his leadership, more than 50 Masters of Science and 20 Doctoral Theses were completed. This paper is written to commemorate Dr. A. F. Chudnovsky’s dedicated contributions to agrophysical research and development.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"22 1","pages":"145-151"},"PeriodicalIF":0.0,"publicationDate":"2014-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82463323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Arkhipov, E. Krueger, D. Kurtener, N. Priyatkin, A. Bondarenko
{"title":"Seed Assessment Using Fuzzy Logic and Gas Discharge Visualization Data","authors":"M. Arkhipov, E. Krueger, D. Kurtener, N. Priyatkin, A. Bondarenko","doi":"10.17830/J.EAJ.2014.01.124","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.124","url":null,"abstract":"Assessment of sowing material is a significant concern in seed science. A promising tool for assessing seed material is Corona Discharge Photography or Gas Discharge Visualization (GDV). In this study, this tool was applied to determine relationships between sowing material characteristics and GDV parameters; an Adaptive Neuro-Fuzzy Inference System (ANFIS) was utilized to interpret the experimental data. By using ANFIS, a three input fuzzy inference system was constructed to define the contiguous relations between GDV parameters (i.e., glow area and shape factor) and root length.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"42 1","pages":"124-133"},"PeriodicalIF":0.0,"publicationDate":"2014-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87715625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Environmental Factors which limit Plant Growth Using Fuzzy Modeling","authors":"D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2014.01.134","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.134","url":null,"abstract":"Von Liebig formulated a concept in which plant growth is controlled by the supply of multiple essential resources. In this manuscript, several environmental factors which limit plant growth are evaluated using fuzzy modeling. Descriptions of several soil attributes which can limit plant growth (pH, phosphorus, potassium) are elaborated using fuzzy indicator models based on the trapezoid-shaped membership function. Also, fuzzy indicator models are developed for cases where soil temperature in the root area are lowered so that damage to winter crops occurs. The combined effect of several co-limitation factors is also evaluated using a weighted average operation. Several examples were discussed in this manuscript for illustration.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"230 1","pages":"134-144"},"PeriodicalIF":0.0,"publicationDate":"2014-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76398397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tool for Fuzzy Multi Attributive Comparison of Alternatives","authors":"D. Kurtener, E. Krueger, H. Torbert","doi":"10.17830/J.EAJ.2014.01.085","DOIUrl":"https://doi.org/10.17830/J.EAJ.2014.01.085","url":null,"abstract":"Treatment comparison is an important practical problem for agricultural experimentation, when treatment results vary. To solve this problem, a tool for fuzzy multi attributive comparison of treatment alternatives was developed. The input data for the toll are technical and economic indicators, soil and agronomic characteristics, as well as expert opinions. The output from the tool is a ranking of the treatment alternatives. Application of the tool can significantly reduce the time to carry out the multi-attributed comparison of alternatives, making it possible to unify the process of comparing them, providing an assessment of alternatives that is less dependent on the preferences of the scientist, and creates the conditions for more informed management decisions. In this article, a tool for fuzzy multi attributive comparison of alternatives was applied for evaluation of long-term impacts of tillage and cropping systems. Yield data (1981-2001), which were used in this study, showed that the various combinations had pros and cons over time. The results from the utilization of the tool indicated that the combination of chisel tillage with a cover crop rotation was the best alternative. In addition, it was determined that where poultry litter was added to the wheat cover crop (or harvested for grain), the combination of conventional tillage with a cover crop rotation was the best alternative. Results of the computer simulation using the tool for fuzzy multi attributive comparison of alternatives provided a procedure to summarize long-term experimental data.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"14 1","pages":"85-105"},"PeriodicalIF":0.0,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81746595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}