{"id":427,"date":"2020-08-05T17:45:43","date_gmt":"2020-08-05T11:45:43","guid":{"rendered":"https:\/\/agribusinessedu.com\/?p=427"},"modified":"2024-08-03T16:14:14","modified_gmt":"2024-08-03T10:14:14","slug":"agricultural-statistics-biostatistics-agriculture-basic-introduction","status":"publish","type":"post","link":"https:\/\/agribusinessedu.com\/agricultural-statistics-biostatistics-agriculture-basic-introduction\/","title":{"rendered":"Agricultural Statistics and Biostatistics in Agriculture \u2013A Basic Introduction"},"content":{"rendered":"<h3><span style=\"color: #000000;\"><strong>Agricultural Statistics and Biostatistics in Agriculture \u2013A Basic Introduction<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>Mahamudul Hasan Millat<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Research Scholar\u00a0\u00a0<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Statistics Discipline<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Science, Engineering &amp; Technology School<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Secretary, Rotaract Club of Khulna University\u00a0<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/ku.ac.bd\/\"><strong>Khulna University, Khulna-9208, Bangladesh<\/strong><\/a><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Email: <a style=\"color: #000000;\" href=\"mailto:millatku1998@gmail.com\">millatku1998@gmail.com<\/a> <\/strong><\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Statistics: <\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Agricultural Statistics and Biostatistics in Agriculture has enormous importance. Statistics is concerned with statistical methods for gathering, arranging, summarizing, presenting, and evaluating sample data, as well as drawing accurate conclusions on population characteristics and making rational decisions based on such an analysis.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>The field of statistics: <\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Studying and using theories and techniques to analyze data that result from natural processes or phenomena. Trying to study how we make data sense:<\/span><\/p>\n<p><span style=\"color: #000000;\">The area of statistics includes some of the scientific method&#8217;s most basic methods and techniques:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Hypothesis formation<\/span><\/li>\n<li><span style=\"color: #000000;\">Design of experiments and observational studies<\/span><\/li>\n<li><span style=\"color: #000000;\">derived from the data<\/span><\/li>\n<li><span style=\"color: #000000;\">Overview of data<\/span><\/li>\n<li><span style=\"color: #000000;\">Making data inferences (e.g. hypothesis testing)<\/span><\/li>\n<\/ul>\n<h4><span style=\"color: #000000;\"><strong>Biostatistics<\/strong> :<\/span><\/h4>\n<p><span style=\"color: #000000;\">Biostatistics is the branch of statistics application focused on health sciences and biology applications. Sir Francis Galton is the Father of Biostatistics. Biostatistics is often differentiated from the biometric field on the basis of whether applications are in the health sciences (biostatistics) or in wider biology (e.g. biometry; agriculture, ecology, wildlife).<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Agricultural statistics:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Agricultural statistics play an important part in the sustainable development of the world. It has been believed conventionally that agricultural statistics take precedence around crop statistics.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Important aspects of <a style=\"color: #000000;\" href=\"https:\/\/agribusinessedu.com\/organic-agriculture-introduction\/\">Agriculture<\/a> statistics as well as Biostatistics:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">The following topics can be analyzed in Agriculture statistics as well as Biostatistics:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Categorical analyzes of data, group trials, computer statistics<\/span><\/li>\n<li><span style=\"color: #000000;\">Genetics of livestock, GWAS<\/span><\/li>\n<li><span style=\"color: #000000;\">Ecological statistics, experiment design<\/span><\/li>\n<li><span style=\"color: #000000;\">Study of decision-making, experiment design, multivariate methods<\/span><\/li>\n<li><span style=\"color: #000000;\">Miscellaneous models, meta-analysis<\/span><\/li>\n<\/ul>\n<h4><span style=\"color: #000000;\"><strong>Nature of Agricultural Statistics<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">To explain more thoroughly the essence of agricultural statistics, these may be grouped into the following major categories:<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Irrigation and Land usage:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">This includes the sown net area, gross cultivated field, current fallow, cultivable waste, non-current fallow, other uncultivated lands, kharif and rabi season irrigated area, etc.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Agricultural production:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">This includes arable land, plantations, goats, and fisheries. It decides crop quality, crop yield, crop produced qualities. Statistics on agriculture provide information about various operations and different methods that can be implemented to increase crop production. It also helps to assess the various crop yields and crop quality tests.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Agricultural prices and wages:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Concepts on the intersection of wage rates are complex and conflicting. For rural poor policy planning, a clear understanding of the relationship between food prices and rural wages is important. Statistics on agriculture aid in this respect.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Forestry:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">It addresses important methodologies such as ranked set sampling, adaptive cluster sampling, small area estimation, calibration-based estimators, experiment design, multivariate techniques, Internet of Things, and methods of ridge regression. It also includes the development of methodological techniques applied in forestry<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>For agricultural organization and farming structure:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Statistics relating to the organization of agriculture and the structure of farming, e.g. persons working in agriculture, their rank, land held under different tenure, number of draught animals, implements, farm building, etc.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>For production and marketing Purpose:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">Marketing and sales statistics and economics, e.g., production costs, input-output ratio, marketing shifts, spread-over marketing, etc. General statistics, literacy among those working in agriculture, housing, and related healthcare also in this regard.<\/span><\/p>\n<h4><span style=\"color: #000000;\"><strong>Fishery:<\/strong><\/span><\/h4>\n<p><span style=\"color: #000000;\">It includes both capture and aquaculture production of fish, aquatic mammals, plants, and other aquatic animals, taken for commercial, industrial, recreational, and subsistence purposes from inland, brackish and marine waters. Data refer to all industrial, artisanal, and subsistence fisheries, excluding aquaculture. It should also exclude data on discards.<\/span><\/p>\n<h5><span style=\"color: #000000;\"><strong>References: <\/strong><\/span><\/h5>\n<ul>\n<li><span style=\"color: #000000;\">Dorward, A. (2013). Agricultural labor productivity, food prices and sustainable development<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">impacts and indicators. Food Policy, 39, 40\u201350. <a style=\"color: #000000;\" href=\"https:\/\/doi.org\/10.1016\/j.foodpol.2012.12.003\">https:\/\/doi.org\/10.1016\/j.foodpol.2012.12.003<\/a>.<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><u><a style=\"color: #000000;\" href=\"http:\/\/www.fao.org\/\">http:\/\/www.fao.org\/<\/a>:<\/u><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"color: #000000;\">HANDBOOK ON Agricultural Cost of Production Statistics Guidelines for Data Collection, Compilation and Dissemination<\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/agris.fao.org\/\">https:\/\/agris.fao.org\/<\/a><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">#agro_research_international<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Contact:\u00a0<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">If you have any questions, thoughts, or suggestions, please contact us or join our social media 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importance. Statistics is concerned with statistical methods for gathering, arranging, summarizing, presenting, and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":428,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[98],"tags":[140,180,181,134,183,182],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Agricultural Statistics and Biostatistics in Agriculture \u2013A Basic Introduction - Agribusiness Education and Research International<\/title>\n<meta name=\"description\" content=\"Agricultural Statistics and Biostatistics in Agriculture. 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