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NTRCA college written syllabus
College level; page updated April 2024 · 142 pages
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Published by NTRCA. Collected 2026-11-14. Confirm the edition and subject against your recruitment notice before studying.
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E:\NTRCA\Exam\17th Exam'20\Written\Syllabus\Written_College level_17th Exam-2020 (1-52 code) (Main).doc 48 processes - identify the importance of biotechnology. Cellular totipotency, callus culture and cell suspension culture, organogenesis and somatic embryogenesis. Haploid production and significance of haploid in crop improvement. Isolation, purification and culture of protoplasts, somatic hybridization and cybridization. Micro-propagation and its commercial application. Germplasm conservation and cryo-preservation. Plant genetic engineering: concepts, tools and application. Gene cloning: definition, principles, technique, importance. DNA sequencing: Methods and applications of DNA sequencing. Polymerase Chain Reaction (PCR): Concept, procedure, cloning of PCR products and applications. Biogas: Production methods and its uses. Single cell protein: definition, production methods and its importance. Rules and regulations in biotechnology: biosafety guidelines and regulat ions, Intellectual Property Rights (IPR). Evolution - define terms of evolution - describe issues evolutionary processes - explain origin of life - compare related topics - summarize evolutionary theories. Introduction, concepts regarding ori gin of life; Pre - Darwinian concepts of evolution: Buffon, Lamarck, and Herbert Spencer. Darwin-Wallace theory of evolution, Brief life sketch. Evidences of evolution. Synthetic theory of evolution: Speciation: characteristics of species; mode s of speciation: Origin of life: chemical theory: experimental evidences - Oparin-Haldane hypothesis, Miller -Urey experiment; stages of chemical and organic evolution; origin of prokaryotes and eukaryotes. Unit 10 (Question 10) 10 Biostatistics - define important items of biostatistics - describe major issues of biostatistics - create statistical figures Definition and sc ope of biostatistics, random variable, discrete and continuous variable, population, samples, random samples and data. Organization and presentation of data, frequency distribution, graphical representation: histogram, frequency polygon, bar graphs and pie chart.