{"title":"New Scientific Directions in Agrophysics: Epigenetics and Breeding Plants","authors":"V. Dragavtsev, D. Kurtener","doi":"10.17830/J.EAJ.2017.04.001","DOIUrl":"https://doi.org/10.17830/J.EAJ.2017.04.001","url":null,"abstract":"Traditionally, agrophysics research has included, such areas as light-physiology and photo culture of plants. Recently, agrophysics research has expanded into new directions to include epigenetics and plant breeding. Integration of epigenetics and plant breeding as part of agrophysics research has been a focus of scientific endeavors of V. Dragavtsev. Recently, articles on this topic have been published in agrophysical scientific journals, including publications by the Agrophysical Research Institute, St. Petersburg, Russia, and the European Agrophysical Journal published by the European Agrophysical Institute, Amriswil, Switzerland. In this paper, resent achievements within epigenetics and plant breeding research will be discussed. Specifically, the theory of eco-genetic organization of quantitative traits (TEGOQT) and the principle of background characters of plants are considered.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"4007 3 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86697284","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":"Agrophysics and epigenetics: tasks for interdisciplinary researches","authors":"V. Dragavtsev, D. Kurtener","doi":"10.17830/J.EAJ.2016.03.120","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.120","url":null,"abstract":"Epigenetics is one of the most rapidly expanding fields of research in the life sciences. One direction of epigenetics is devoted to plant breeding. Today it has become obvious that agrophysical approaches and methods will find a place not only in the improvement of agricultural technologies, but could also revolutionize breeding technologies. In this paper several tasks for interdisciplinary researches related to the application of agrophysics for epigenetics researches are formulated.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"10 1","pages":"119-125"},"PeriodicalIF":0.0,"publicationDate":"2016-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82421018","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":"Multi Attributive Comparison of Alternatives Using Numerical Data and Expert Opinions","authors":"D. Kurtener, E. Krueger, A. Reyn","doi":"10.17830/J.EAJ.2016.03.095","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.095","url":null,"abstract":"Management of land involves for both environmental and agricultural concerns involve many decisions which often have multiple and conflicting objectives. Therefore, a tool which considers multi criteria decision analysis could be of considerable benefit for management purposes. Recently, a tool for multi attributive comparison of alternatives has been under development, and in this article the adaptation of this tool where a combination of numerical data and expert opinions is utilized as input will be discussed. This article will illustrate this new approach with an example.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"92 1","pages":"91-99"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74074081","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":"Validation of a New Method for Quantification of Ammonia Volatilization from Agricultural Field Plots","authors":"Katy E. Chapman, H. Torbert, D. Watts","doi":"10.17830/J.EAJ.2016.03.078","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.078","url":null,"abstract":"A modified low-cost method of measuring ammonia (NH3) volatilization is described for use with static chambers. This technique utilizes glass tubes coated with oxalic acid placed inside the chambers to adsorb NH3 being evolved from soil. The advantage of this procedure is that it can be used to quantify NH3 emissions from field plots used for evaluating multiple management practices in an agricultural field. A correction factor is required to accurately estimate NH3 levels inside the static chambers. In addition, if the static chambers are made of an NH3 absorbing material, another correction is needed to obtain an accurate estimate of NH3 air concentration. Values measured with this technique can be used to estimate NH3 efflux rates and to determine the efficacy of agricultural practices that could potentially suppress volatilization losses evaluated from research plots. Herein, the modified static chamber method is described and validated by comparison with NH3 gas detector tubes.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"504 1","pages":"76-90"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77071494","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":"Soil Disturbance Evaluation: Application of ANFIS","authors":"D. Kurtener, E. Krueger, H. Torbert","doi":"10.17830/J.EAJ.2016.03.042","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.042","url":null,"abstract":"In this work, an Adaptive Neuro-Fuzzy Inference System (ANFIS) applied for study the contiguous relations between soil disturbed indicators. Several ANFIS surfaces, which described the contiguous relations between individual soil disturbed indicators (DFSs), values of soil parameters and depth, as well as the contiguous relations between DFSs and combined indicator of soil disturbance (DFC), were obtained.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"18 1","pages":"42-55"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88049188","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":"Cross-Functional Quality Management: Case of Examination of Decisions Given by Producer Groups","authors":"E. Krueger, D. Kurtener, Andrew Migut","doi":"10.17830/J.EAJ.2016.03.060","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.060","url":null,"abstract":"In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"9 1","pages":"56-64"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88793945","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 Michael Ostrovskij","authors":"D. Kurtener, U. Werner, S. Tsukanov","doi":"10.17830/J.EAJ.2016.06.070","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.06.070","url":null,"abstract":"This paper is dedicated contributions of Michael Ostrovskij to agrophysical research and development. Circle of scientific interests of Michael Ostrovskij was wide enough. It included: the use of bio resonance technology in the poultry industry, elaboration of organic-mineral fertilizers (OMF) based on sapropel and peat and called as \"Humin Plus\", \"Sapropeat\", and \"Sapropeat Uni\", tests and application of these OMF, investigation of the influence of magnetic treatments of seed and water in combination with Humin Plus, research on biogas production, study of relation between OMF and heavy metals into soil and plants, elaboration of patents on agrophysics. He was founder of European Agrophysical Institute and European Agrophysical Journal.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"100 1","pages":"65-75"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76733802","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":"Examination of Data Collected from Experiments on Soil Disturbance Using Fuzzy Indicator Approach","authors":"H. Torbert, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2016.03.025","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.025","url":null,"abstract":"Soil disturbance can have important impacts on soil quality and productivity which impact management decisions. However, the extent of potential damage to soil due to soil disturbance is not always obvious. Methods are needed to determine the level of soil disturbance from soil testing. A methodology for this problem could be found using a tool for computations of two soil disturbance indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)”. This study examined this tool for the examination of data collected from experiments on soil disturbance in two different climatic reagions: Fort Riley, KS, and Fort Benning, GA, USA. Results for Fort Riley indicate that the best indicator of disturbance was the DFS calculated for Ni, Ca, Mg, and C while DFS calculated for Cr, Pb, Ni, and Ca was best for Fort Benning. Results also indicate that the use of DFS calculated for Cu and Ni as affected by changes in soil depth may be useful for detecting archeological sites across soil types.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"3 1","pages":"25-41"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86631159","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":"Multi-Criteria-GIS Based Site Selection for Irrigational Reservoir – A Case Study","authors":"E. Stemn, B. Kumi-Boateng, Samuel Sibil","doi":"10.17830/J.EAJ.2016.03.001","DOIUrl":"https://doi.org/10.17830/J.EAJ.2016.03.001","url":null,"abstract":"Water scarcity is a fundamental problem in the Upper East Region of Ghana especially in these recent years. The region has only two main reservoirs which collect both stream and run-off water from highlands for usage. Most of the rivers are seasonal and carry water only after rainfall, making the total land area dry most of the year. Women and children walk a number of hours to reach shallow hand-dug wells or ponds, which they share with livestock. The people have been facing these water shortages over the years and construction of good dams is a possible solution to meet the future demand of water supply. In order to address the above water challenges, there is a need for a system that can consider all spatial factors to selecting dam site and GIS techniques as well as Multi-criteria Decision Analysis (MCDA) are more appropriate. The site selection was based on the factor and constraints criteria. Weights were assigned to the factors using Pairwise comparisons and the layers were overlaid and weighted. A total of 4 optimal dam sites were selected after incorporating the various factor and constraint criteria. The existing land use should be visited in the selected sites before constructing the dams and population should be reviewed to see whether changes in population affect the siting of irrigation dams in an area.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"43 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80278253","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":"Evaluation of Soil Disturbance Using Fuzzy Indicator Approach","authors":"H. Allen Torbert, D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2015.02.106","DOIUrl":"https://doi.org/10.17830/J.EAJ.2015.02.106","url":null,"abstract":"Soil disturbance is great problem and the evaluation of soil disturbance is very important for making decisions on agricultural and ecological management. In this manuscript, a new method for potentially evaluating soil disturbance is described. With this method the use of two indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)” are calculated using soil parameters that are sensitive to soil disturbance. For illustration of the methodology, a small computation was made using data collected from an experiment conducted at Fort Riley, KS, USA. Input data for computation included four soil parameters: Nitrogen, Carbon, Calcium, and Copper. The results of computation of DFS showed the maximum values were observed in the topsoil (0-10cm). With increasing depth, the DFS values decrease. The values calculated for Ca indicated that this DFS would be the most sensitive, while the DFS for copper would be more sensitive with increasing soil depth. The results of the computations of DFC showed that the DFCs at soil depths of 0-10 and 10-20 cm were very similar for all variants used in this research. However, at a soil depth of 20-30 cm, the DFCs calculated for variant 3 was more sensitive, likely because it increased the importance of copper DFS in the calculations.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"55 1","pages":"106-115"},"PeriodicalIF":0.0,"publicationDate":"2015-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80176174","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}