Asian journal of agriculture and food science Acceptance Rate - ResearchHelpDesk - Asian Journal of Agricultural and Food Sciences (AJAFS) is a bright ground for scientists and researchers dealing with agriculture, and food science. The Journal stresses on academic excellence, research inflexibility, data-information-knowledge distribution, and collaborative scholarly efforts. The Journal promotes abstract, experimental and methodological research on agriculture and food sciences at farm, community, regional, national and international levels. Journal of Agricultural and Food Sciences preserves prompt publication of manuscripts that meet the broad-spectrum criteria of scientific excellence. Areas of interest include, but are not limited to: Agricultural Engineering and Technology Agriculture and Environment Agriculture – Production Agriculture – Utilization Agriculture History Agricultural economics Agricultural engineering Agronomy Animal Sciences Antibody Production Aquaculture Biochemistry Biomass and Bio-energy Biotechnology Crop Science Dairy Science Entomology Environmental science Fermentation Technology Fish and Fisheries Food and Consumer Issues Food Chemistry Food Culture Food Engineering and Technology Food Health and Nutrition Food History Food Industry Development Food marketing Food manufacturing techniques Food Policy and Practices Food Processing Food Safety Forestry Freshwater Science Genomics Horticulture Institutional and Policy Issues Irrigation Materials and Processing Molecular Biology Morphology Organic Agriculture Pesticide Science Physiology Plant Sciences Post-Harvest Biology Poultry Science Primary production-related food science Rehabilitation Rural Economy and Development Seed Science Research Sensory and Consumer Sciences Soil Science Stored Products Sustainability Issues Tree Fruit Production Veterinary Virology Viticulture Water Resources Weed Biology

Journal of agricultural economics Acceptance Rate - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Citation information for scientific articles published since 2012 co-authored by Agriculture and Agri-Food Canada (AAFC) researchers.

Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

The project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field", whose website is https://datause.es/, is a project funded by the Ministry of Science and Innovation - State Research Agency, with reference PID2019-105708RB-C22.

Within the framework of the project, a bibliographic search is carried out in all thematic categories of the Web of Science (WoS) related to agriculture and related areas. The search equation included the following categories:

WC = (FOOD SCIENCE TECHNOLOGY OR PLANT SCIENCES OR FORESTRY OR AGRICULTURAL ENGINEERING OR AGRONOMY OR HORTICULTURE OR AGRICULTURE DAIRY ANIMAL SCIENCE OR AGRICULTURE MULTIDISCIPLINARY OR AGRICULTURAL ECONOMICS POLICY)

This data set shows the distribution of journals and the quartile they occupy in each of the thematic categories in 2019, with the aim of serving researchers in this area and for future data mining.

The motivation to measure food policy research capacity stems from a pressing need to understand what a country's primary constraints are in undertaking food policy research and using it effectively in the policy process. With such understanding, capacity-development interventions can become easier to design and capacity building programs can be more effective. Food policy research is defined here as any socioeconomic or policy-related research in the food, agriculture, and natural-resource sectors. In this database, two country-level food policy research capacity indicators are presented. The first indicator is the number of full-time equivalent analysts or researchers with PhDs or their equivalent analysts or researchers with PhDs or their equivalent per one million rural citizens. This number is indicative of a country's investment in policy research activities. Although financial and physical resources are not explicitly included in this measure, it is assumed that the number of researchers acts as a proxy for these other food policy research inputs. This indicator includes staff at government ministries, higher education institutes, and research organizations that undertake food policy research as defined above. Staff members with a master's degree are valued at half of a PhD, and those with a bachelor's degree are valued at a quarter of a PhD. The number of staff is also scaled by the proportion of time spent on food policy research which is dependent on the type of institution. The second indicator is the number of food policy relevant journal articles published internationally within the last five years per full-time PhD-equivalent researcher. This input-output ratio measure is indicative of the efficiency of the policy research environment. The number of publications was determined from searches in the EconLit and Web of Science databases for journal articles related to food policy and authored by experts who were counted in the assessment of the first indicator. Earlier attempts to quantify and collect comparable data on other policy research outputs, such as policy briefs, interactions with government ministries, or conference contributions presented numerous challenges. For this reason, and because international publications guarantee a minimum and comparable level of quality, this indicator was chosen.

The idea that noncrop habitat enhances pest control and represents a win–win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win–win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies.

This Data Article houses secondary data, consisting of the available historic and current farm production data in Nigeria such as crop type, yields, prices, crop production inputs’ (e.g. labour, fertilizer, pesticide, seed, cash capital) as well as the Nigerian food consumption, ethanol demand, and international commodity (crop/food) trade (import and export) data. The data were collected from reputable online databases such as FAOSTAT, World Bank, IMF, USDA, NBS, IITA, etc., and through personal research visits to Nigerian government agencies such as Federal and State Ministries of Agricultural and Rural Development, State Agricultural Development Agency (ADP) in Nigeria, National (Nigerian) Bureau of Statistics (NBS) and others; and were assembled, screened, processed (tabulated them according to GAMS table requirements), and applied via General Algebraic Modelling System (GAMS) to analyse the Nigerian Biofuels (bioethanol production) Potential, assessing its policy impacts on domestic (Nigerian) food and energy securities, job creation, rural development, and the economy. Ndukwe Agbai Dick collected all the data, processed and applied them through GAMS to analyse the Nigerian Biofuels Potential during his PhD research studies at Newcastle University, England, between October 2010 and September, 2014. The research visit took place between March 1st and June, 2012. Research findings from the analysis of these data using GAMS have been partly documented in paper titled "Analysis of the Inherent Energy-Food Dilemma of the Nigerian Biofuels Policy using Partial Equilibrium Model: The Nigerian Energy-Food Model (NEFM)", which has been peer-reviewed and recommended for publication with major revisions in a reputable international high impact journal - Renewable and Sustainable Energy Reviews (RSER). Of course, the NEFM and results generated from it has been peer-reviewed and validated, acceptance for publication, and is now available online on the Renewable and Sustainable Energy Reviews Journal's website - a high impact and reputable international journal with impact factor of 9.184.

A database, catalog and index to the collections of the National Agricultural Library, as well as a primary public source for world-wide access to agricultural information. This database resource covers materials in all formats and periods, including printed works from as far back as the 15th century. AGRICOLA is a bibliographic database of citations to the agricultural literature created by the National Agricultural Library and its cooperators. The records describe publications and resources encompassing all aspects of agriculture and allied disciplines, including animal and veterinary sciences, entomology, plant sciences, forestry, aquaculture and fisheries, farming and farming systems, agricultural economics, extension and education, food and human nutrition, and earth and environmental sciences. Although the NAL Catalog (AGRICOLA) does not contain the text of the materials it cites, thousands of its records are linked to full-text documents online, with new links added daily. The NAL Catalog (AGRICOLA) is organized into two bibliographic data sets: *The NAL Online Public Access Catalog (AGRICOLA NAL) contains citations to books, audiovisuals, serials, and other materials, most of which are in the Library''s collection. (The Catalog does contain some records for items not held at NAL.) *The Article Citation Database (AGRICOLA IND) includes citations, many with abstracts, to journal articles (see Journals Indexed in AGRICOLA), book chapters, reports, and reprints, selected primarily from the materials found in the NAL Catalog.

According to Cognitive Market Research, the Global Dicamba Herbicide Market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

Based on Crop type, the Cereals & grains segment dominated the global Dicamba Herbicide market. Based on crop type, the market is divided into Cereals & grains, oilseeds & pulses pastures & forage crops and others, including sugarcane, tea, coffee, fruits and vegetables
Based on Formulation, the Acid segment dominated the global Dicamba Herbicide market. Based on Formulation, the global Dicamba Herbicide market is segmented into Acid, Salt
The North American region accounted for the highest market share in the Global Dicamba Herbicide Market. 
Over the course of the projection period, Europe is expected to increase at the fastest rate.

CURRENT SCENARIO OF THE DICAMBA HERBICIDE MARKET

Key factors driving the growth of the Dicamba Herbicide Market

Rapid Shift Towards Genetically Modified Crops to contribute towards market growth

The demand for Dicamba Herbicide is expected to rise as a result of the global move towards genetically modified (GM) crops. In order to maintain food security and increase crop productivity, there is an increasing demand as the world's population continues to expand quickly. Genetically modified crops (GM) have shown promise in mitigating these issues because of their unique resistance to pests and extreme weather. In this case, dicamba herbicide is quite important. It is a vital tool for farmers since it can eradicate broadleaf weeds selectively without harming genetically modified crops. This focused strategy reduces the negative effects on the surrounding environment while simultaneously aiding in the control of weeds. The herbicide's advantage over other herbicides in terms of crop damage is another factor that makes it popular among farmers and agricultural professionals.

In 2019, the largest area of GM crops was possessed by soybean 48%, GM maize occupied an area of 60.9 million hectares globally, around 32% of the global maize production (Source:https://www.frontiersin.org/journals/plant science/articles/10.3389/fpls.2022.1027828/full)

Moreover, crops that are resistant to Dicamba have been created as a result of biotechnology breakthroughs, which has increased demand for this herbicide. Farmers can efficiently battle weed growth and increase agricultural yields and productivity by integrating genetic changes that confer Dicamba resistance to their crops. The demand for Dicamba Herbicide is anticipated to increase significantly in areas like Asia Pacific and South America where agriculture plays a large economic role. Since agriculture is a major source of employment and revenue in these areas, the acceptance of genetically modified crops and related herbicides is essential to the viability of their agricultural industry. The quick uptake of GM crops is therefore expected to drive a global rise in demand for Dicamba Herbicide in light of these factors and the growing need for sustainable agriculture methods. The role of GM crops and supporting herbicides like Dicamba becomes ever more crucial in guaranteeing global food security and sustainable agriculture as the globe struggles to fulfil the growing demand for food.

Increasing use of dicamba to control the growth of weeds is one of the key factors driving the growth of the global dicamba herbicide market

It is predicted that the need for alternative treatments like Dicamba herbicide would increase due to weeds' growing resistance to conventional herbicides on a worldwide scale. Farmers and agriculturists around the world are facing decreasing crop yields due to weeds that are evolving and becoming resistant to traditional herbicides. This calls for the application of more effective weed control techniques. The selective pesticide dicamba has shown promising results in controlling a variety of broadleaf weeds that have grown resistant to conventional methods. Because of its distinct mechanism of action, which slows plant development, farmers prefer using it. Furthermore, there will probably be a greater need for herbicides like Dicamba as a result of the growing world population and the ensuing need for increased agricultural output. Such cutting-edge herbicides are crucial for achieving sustainable agricultural pr...

The data originate from national monitoring on the effects of the Finnish agri-environment support scheme (MYTVAS). The data was collected in 1995, 1997, 1998 and 1999 in four different watershed areas in Finland. 225 boundaries were preselected from aerial photographs to find the sites located next to waterways and open areas, and with no or only minor occurences of trees or shrubs. In each site, vascular plant species coverages were assessed in one to five 0.25 m2 (0.5 x 0.5 m) quadrates 20 m apart from one another. In 1998, another dataset was collected by estimating the abundances of plant species in the whole boundary area. Soil samples were taken in each site for soil analysis.

The methods have been described in the following publications:

Tarmi, S. & Helenius, J. 2002. Maatalouden ympäristöohjelman mukaisten piennarten ja suojakaistojen toteutuminen ja niiden kasviyhteisöjen monimuotoisuus (Vegetation in boundaries and buffer zones - realization of boundaries and buffer zones obliged in agri-environmental programme and diversity of vascular plant communities, in Finnish). Helsingin yliopisto. Soveltavan biologian laitoksen julkaisuja 9. 35 p.

Tarmi, S., Helenius, J. & Hyvönen, T. 2009. Importance of edaphic, spatial and management factors for plant communities of field boundaries. Agriculture, Ecosystems and Environment 131: 201–206.

Tarmi, S., Tuuri, H. & Helenius, J. 2002. Plant communities of field boundaries in Finnish farmland. Agricultural and food science in Finland 11: 121-135.

The European Commission's assessment and approval process for genetically modified (GM) crops has resulted in only two GM crop varieties being licensed for cultivation in the European Union, one of which has been withdrawn. Unable to define GM crops satisfactorily, the European Commission has fallen back on a definition based on process. The shortcomings of this approach are all too clear as the Commission grapples with the advent of genome editing. This has led to a long and damaging delay in the Commission issuing an opinion on how genome‐edited crops should be regulated. At the same time, national bans imposed by member states on GM crops without any evidence of safety concerns have been legalized. The Commission also faces the prospect of assessing an increasing number of GM and genome‐edited crops with deliberately altered composition. In this article, the operation of regulations covering GM crops in the European Union and the effect they have had on the development of plant biotechnology are reviewed, while the issues raised by new technologies are discussed. It is argued that there is an urgent need for the European Union to shift its position on plant biotechnology if agriculture is to meet the challenges of coming decades. © 2018 The Author. Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. This is Version 1 of the …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. This is Version 1 of the Australian Soil Clay product of the Soil and Landscape Grid of Australia. The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (approximately 90 x 90 m pixels). These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia. Attribute Definition: 2 micrometre mass fraction of the less than 2 mm soil material determined using the pipette method; Units: %; Period (temporal coverage; approximately): 1950-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 x 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 3.0 (CC By); Target data standard: GlobalSoilMap specifications; Format: GeoTIFF. Dataset History The National Digital Soil Property Maps are generated by combining the best available digital soil mapping to calculate a variance weighted mean for each pixel. Two DSM methods have been utilised across and in various parts of Australia, these being: 1) Decision trees with piecewise linear models with kriging of residuals developed from soil site data across Australia. (Viscarra Rossel et al., 2014a); 2) Disaggregation of existing polygon soil mapping using DSMART (Odgers et al. 2014a). Version 1 of the National Digital Soil Property Maps combines mapping from the: 1) Australia-wide three-dimensional Digital Soil Property Maps; 2) Western Australia Polygon Disaggregation Maps; 3) South Australian Agricultural Areas Polygon Disaggregation Maps; 4) Tasmanian State-wide DSM Maps. These individual mapping products are also available in the CSIRO Data Access Portal (https://data.csiro.au). Please refer to these individual products for more detail on the DSM methods used. References: Specifications: Version 1 GlobalSoilMap.net products, Release 2.1, viewed 12/09/2014, http://www.globalsoilmap.net/specifications. Bishop, TFA, McBratney, AB & Laslett, GM 1999, 'Modelling soil attribute depth functions with equal-area quadratic smoothing splines', Geoderma, vol. 91, no. 1-2, pp. 27-45. http://dx.doi.org/10.1016/S0016-7061(99)00003-8. Breiman, L, Friedman, J, Stone, CJ & Olshen, RA 1984, Classification and Regression Trees, Wadsworth statistics/probability series, Wadsworth Belmont, Ca. Clifford, D, Dobbie, MJ & Searle, R 2014, 'Non-parametric imputation of properties for soil profiles with sparse observations', Geoderma, vol. 232-234, pp. 10-8. http://dx.doi.org/10.1016/j.geoderma.2014.04.026. Clifford, D, Searle, R & Holmes, KW 2015, 'Methods to merge disparate spatial estimates of soil attributes', Soil Research, in preparation. de Caritat, P & Cooper, M 2011, National Geochemical Survey of Australia: The Geochemical Atlas of Australia, Geoscience Australia, Record 2011/20 (2 Volumes), Canberra, 557 pp. http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_71973. DEWRN 2014, Mapping soil and land, Department of Environment, Water and Natural Resources, Government of South Australia, viewed 14/04/2014, http://www.environment.sa.gov.au/Knowledge_Bank/Information_data/soil-and-land/mapping-soil-and-land. Grunwald, S 2009, 'Multi-criteria characterization of recent digital soil mapping and modeling approaches', Geoderma, vol. 152, no. 3-4, pp. 195-207. http://dx.doi.org/10.1016/j.geoderma.2009.06.003. Hall, JAS, Maschmedt, DJ & Billing, NB 2009, The Soils of Southern South Australia, The South Australian Land and Soil Book Series, Volume 1; Geological Survey of South Australia, Bulletin 56, Volume 1, Department of Water, Land and Biodiversity Conservation, Government of South Australia. https://data.environment.sa.gov.au/Land/Land-Resources/Pages/Home.aspx. Holmes, KW, Griffin, TG & Odgers, NP 2015, 'Continental scale spatial disaggregation of legacy soil maps: evaluation over Western Australia', Soil Research, in preparation. Jacquier, D, Wilson, P, Griffin, T & Daniel, B 2012, Soil Information Transfer and Evaluation System (SITES) - Database design and exchange protocols, CSIRO Land and Water, Canberra. http://www.clw.csiro.au/aclep/publications/reports.htm. Kidd, D 2015, '80-metre Resolution 3D Soil Attribute Maps for Tasmania', Soil Research, in preparation. Kidd, DB, Malone, BP, McBratney, AB, Minasny, B & Webb, MA 2014, 'Digital mapping of a soil drainage index for irrigated enterprise suitability in Tasmania, Australia', Soil Research, vol. 52, no. 2, pp. 107-19. http://dx.doi.org/10.1071/sr13100. Malone, BP, Minasny, B, Odgers, NP & McBratney, AB 2014, 'Using model averaging to combine soil property rasters from legacy soil maps and from point data', Geoderma, vol. 232, pp. 34-44. http://dx.doi.org/10.1016/j.geoderma.2014.04.033. McBratney, AB, Mendonça Santos, ML & Minasny, B 2003, 'On digital soil mapping', Geoderma, vol. 117, no. 1-2, pp. 3-52. http://dx.doi.org/10.1016/S0016-7061(03)00223-4. McKenzie, NJ, Jacquier, DW, Maschmedt, DJ, Griffin, EA & Brough, DM 2012, The Australian Soil Resource Information System (ASRIS) Technical Specifications, Revised Version 1.6, June 2012, The Australian Collaborative Land Evaluation Program. http://www.asris.csiro.au/downloads/ASRIS_Tech_Specs_201.6.pdf. McKenzie, NJ & Ryan, PJ 1999, 'Spatial prediction of soil properties using environmental correlation', Geoderma, vol. 89, no. 1-2, pp. 67-94. http://dx.doi.org/10.1016/s0016-7061(98)00137-2. Odgers, NP, Holmes, KW, Griffin, T & Liddicoat, C 2015a, 'Derivation of soil attribute estimations from legacy soil maps', Soil Research, in preparation. Odgers, NP, McBratney, AB & Minasny, B 2015, 'Digital soil property mapping and uncertainty estimation using soil class probability rasters', Geoderma, vol. 237-238, pp. 190-8. http://dx.doi.org/10.1016/j.geoderma.2014.09.009. Odgers, NP, Sun, W, McBratney, AB, Minasny, B & Clifford, D 2014, 'Disaggregating and harmonising soil map units through resampled classification trees', Geoderma, vol. 214-215, pp. 91-100. http://dx.doi.org/10.1016/j.geoderma.2013.09.024. Rodríguez, E, Morris, CS & Belz, JE 2006, 'A Global Assessment of the SRTM Performance', Photogrammetric Engineering & Remote Sensing, vol. 72, no. 3, pp. 249-60. Schoknecht, N & Pathan, S 2013, Soil groups of Western Australia: a simple guide to the main soils of Western Australia, 4th ed. Resource Management Technical Report 280, Department of Agriculture and Food Western Australia, Perth. http://archive.agric.wa.gov.au/PC_95446.html. Schoknecht, N, Tille, P & Purdie, B 2004, Soil-landscape mapping in south-western Australia: an overview of methodology and outputs, Resource Management Technical Report 280, Department of Agriculture, Government of Western Australia, Perth. Searle, R 2014, 'The Australian Site Data Collation to Support Global Soil Map', paper presented to GlobalSoilMap Conference 2013, Orleans, France, 7-9 October 2013, https://publications.csiro.au/rpr. Viscarra Rossel, RA 2011, 'Fine-resolution multiscale mapping of clay minerals in Australian soils measured with near infrared spectra', Journal of Geophysical Research: Earth Surface, vol. 116, no. F4, p. F04023. http://dx.doi.org/10.1029/2011JF001977. Viscarra Rossel, RA & Chen, C 2011, 'Digitally mapping the information content of visible-near infrared spectra of surficial Australian soils', Remote Sensing of Environment, vol. 115, no. 6, pp. 1443-55. http://dx.doi.org/10.1016/j.rse.2011.02.004. Viscarra Rossel, RA, Chen, C, Grundy, M, Searle, R, Clifford, D & Campbell, PH 2015a, 'The Australian three-dimensional soil grid: Australia's contribution to the GlobalSoilMap project', Soil Research, in preparation. Viscarra Rossel, RA, Chen, H & Hicks, W 2015b, 'Prediction of spatial distribution of soil attributes to depth from Australian site and covariate data', Soil Research, in preparation. Viscarra Rossel, RA & Webster, R 2012, 'Predicting soil properties from the Australian soil visible-near infrared spectroscopic database', European Journal of Soil Science, vol. 63, no. 6, pp. 848-60. http://dx.doi.org/10.1111/j.1365-2389.2012.01495.x. Viscarra Rossel, RA, Webster, R, Bui, EN & Baldock, JA 2014, 'Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change', Global Change Biology, vol. 20, no. 9, pp. 2953-70. http://dx.doi.org/10.1111/gcb.12569. Dataset Citation CSIRO (2014) Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/f8640540-4bb7-42ee-995a-219881e67705.

Raw data. (XLSX)

Agriculture and human values CiteScore 2024-2025 - ResearchHelpDesk - Agriculture and Human Values is the journal of the Agriculture, Food, and Human Values Society. The Journal, like the Society, is dedicated to an open and free discussion of the values that shape and the structures that underlie current and alternative visions of food and agricultural systems. To this end, the Journal publishes interdisciplinary research that critically examines the values, relationships, conflicts and contradictions within contemporary agricultural and food systems and that addresses the impact of agricultural and food related institutions, policies, and practices on human populations, the environment, democratic governance, and social equity. Offers open discussion of the values that shape and the structures that support food and agricultural systems in industrial and developing countries Welcomes interdisciplinary research from sociology, anthropology, development, economics, geography, philosophy, environmental studies, health and nutrition science, crop and soil science, and other social and physical sciences that critically examines contemporary and alternative food and agricultural systems Publishes original theoretical and empirical research; Discussion pieces to stimulate thinking in new directions and/or address debates in the field; Field reports that relay insightful observations from research sites and/or time-sensitive accounts pertinent to research; Reviews of the literature that integrate and synthesize knowledge in and/or across substantive fields of inquiry; Reviews of new or recently published monographs; and, occasionally, Symposia on issues relevant to broad readerships. Abstracted and indexeing AGRICOLA CAB Abstracts CNKI Current Contents / Social & Behavioral Sciences Current Contents/ Agriculture, Biology & Environmental Sciences EBSCO Agriculture Plus EBSCO Associates Programs Source EBSCO Discovery Service EBSCO Environment EBSCO Food Science Source EBSCO Military Transition Support Center EBSCO Vocational Studies EMBiology ERIH PLUS Gale Gale Academic OneFile Gale InfoTrac Google Scholar IFIS Publishing INIS Atomindex Institute of Scientific and Technical Information of China Japanese Science and Technology Agency (JST) Journal Citation Reports/Science Edition Journal Citation Reports/Social Sciences Edition Naver OCLC WorldCat Discovery Service PhilPapers ProQuest ABI/INFORM ProQuest Agricultural & Environmental Science Database ProQuest Art, Design and Architecture Collection ProQuest Arts & Humanities Database ProQuest Arts Premium Collection ProQuest Business Premium Collection ProQuest Career & Technical Education Database ProQuest Central ProQuest Engineering ProQuest Environment Abstracts (Module) ProQuest Environmental Science ProQuest Materials Science and Engineering Database ProQuest Natural Science Collection ProQuest Philosophy Database ProQuest Research Library ProQuest SciTech Premium Collection ProQuest Social Science Collection ProQuest Sociology ProQuest Technology Collection ProQuest-ExLibris Primo ProQuest-ExLibris Summon Research Papers in Economics (RePEc) SCImago SCOPUS Science Citation Index Expanded (SciSearch) Social Science Citation Index

Distribution of food assistance use patterns by sample sociodemographic characteristics and urbanicity at baseline observation, WAFOOD 1-4 (2020-2023) (n = 703).

Baseline respondent characteristics, WAFOOD Waves 1 and 2 (2020-2021) (n = 703).

Indian Journal of Agricultural Biochemistry Acceptance Rate - ResearchHelpDesk - The Indian Journal of Agricultural Biochemistry Journal is being published biennially in the months of June and December. It publishes original research papers, short communications and review articles in areas of Agricultural Biochemistry including Plant Biochemistry, Soil Biochemistry, Plant Molecular Biology, Animal Biochemistry, Plant Diseases, Biochemistry of Pesticides, Nutritional Biochemistry, Food Science, Plant Biotechnology and Agricultural Microbiology. It also publishes papers related to allied disciplines such as Plant Physiology, Horticulture, Genetics, Agricultural Chemistry having biochemical work. The authors are advised to submit three hard copies of their manuscript to the Asstt. Editor, Indian Journal of Agricultural Biochemistry, Department of Agricultural Biochemistry, C.S.Azad University of Agriculture & Technology, Kanpur- 208 002, U.P., India. However, the manuscript from USA and other foreign countries may be sent online to the Editor, North-America. The manuscripts will be accepted for publication from members of the Society as well as non-members. In case of members, one of the authors of the paper must be a fellow or member of the Society. However, non-members will have to pay printing charges @ Rs. Four hundred (or US$ 20) per page. All the manuscripts will be peer reviewed. Moreover, the authors of each paper have to pay Rs. 500/- as partial printing charges alongwith the revised manuscript before printing . The responsibility for any statement in the article rests entirely with the concerning authors. The authors are advised to prepare their manuscripts according to the following guidelines.

Journal of agricultural economics FAQ - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Food and Energy Security Impact Factor 2024-2025 - ResearchHelpDesk - Food and Energy Security is a high quality and high impact open access journal publishing original research on agricultural crop and forest productivity to improve food and energy security. Aims and Scope Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Christine Foyer, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis-driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far-reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: Agronomy Biotechnological Approaches Breeding & Genetics Climate Change Quality and Composition Food Crops and Bioenergy Feedstocks Developmental, Physiology, and Biochemistry Functional Genomics Molecular Biology Pest and Disease Management Political, economic and societal influences on food security and agricultural crop production Post Harvest Biology Soil Science Systems Biology The journal is Open Access and published online. Submission of manuscripts to Food and Energy Security is exclusive via a web-based electronic submission and tracking system enabling rapid submission to first decision times. Before submitting a paper for publication, potential authors should first read the Author Guidelines. Instructions as to how to upload your manuscript can be found on ScholarOne Manuscripts. Keywords Agricultural economics, Agriculture, Bioenergy, Biofuels, Biochemistry, Biotechnology, Breeding, Composition, Development, Diseases, Feedstocks, Food, Food Security, Food Safety, Forestry, Functional Genomics, Genetics, Horticulture, Pests, Phenomics, Plant Architecture, Plant Biotechnology, Plant Science, Quality Traits, Secondary Metabolites, Social policies, Weed Science. Abstracting and Indexing Information Abstracts on Hygiene & Communicable Diseases (CABI) AgBiotechNet (CABI) AGRICOLA Database (National Agricultural Library) Agricultural Economics Database (CABI) Animal Breeding Abstracts (CABI) Animal Production Database (CABI) Animal Science Database (CABI) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Environmental Impact (CABI) Global Health (CABI) Nutrition & Food Sciences Database (CABI) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Plant Breeding Abstracts (CABI) Plant Genetics and Breeding Database (CABI) Plant Protection Database (CABI) Postharvest News & Information (CABI) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Soil Science Database (CABI) Soils & Fertilizers Abstracts (CABI) Web of Science (Clarivate Analytics) Weed Abstracts (CABI) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI) Society Information The Association of Applied Biologists is a registered charity (No. 275655), that was founded in 1904. The Association's overall aim is: 'To promote the study and advancement of all branches of Biology and in particular (but without prejudice to the generality of the foregoing), to foster the practice, growth, and development of applied biology, including the application of biological sciences for the production and preservation of food, fiber, and other materials and for the maintenance and improvement of earth's physical environment'.