FUNDAMENTALS OF QUANTITATIVE GENETICS

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Dr. Niranjan Kumar Chaurasia

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COURSE NAME: FUNDAMENTALS OF QUANTITATIVE GENETICS

COURSE CODE: MGPB 0503 (2-1-0)

COURSE OBJECTIVE:

To imparts theoretical knowledge and computation skills regarding components of variation and variances, scales, mating designs and gene effects, stability analysis, and multivariate analysis.

COURSE OUTCOMES (COs)/PROGRAMME SPECIFIC OUTCOMES (PSOs) MAPPING::

COs: Course outcomes Mapping COs with PSOs
CO1: Know the basics to advances in quantitative genetics PSO-1
CO2: Develop the experimental, conduct the experiment smoothly, handle the dataset generated from the experiment, analysis of data using Microsoft Excel/ software, and give the inferences PSO-3

PROGRAMME SPECIFIC OUTCOME (PSO):

PSO1: Impart knowledge and understanding of fundamental concepts and techniques of maintaining and enhancing soil fertility, crop production, crop management, crop improvement, biodiversity, and sustainability of agriculture worldwide.

PSO3: Apply knowledge of basic science through Agricultural microbiology, Plant Biochemistry, and Biotechnology.

SYLLABUS (THEORY):

Introduction and historical background of quantitative genetics; Multiple factor hypothesis, Qualitative and quantitative characters; Analysis of continuous variation mean, range, SD, CV; Components of variation- Phenotypic, Genotypic; Nature of gene action- additive, dominance and epistatic, linkage effect; Principles of analysis of variance and linear model, Expected variance components, Random and fixed effect model, Comparison of means and variances for significance; Designs for plant breeding experiments- principles and applications; Variability parameters, the concept of selection; simultaneous selection modes and selection of parents, MANOVA; Association analysis- Genotypic and phenotypic correlation; Path analysis; Discriminate function and principal component analysis, Genetic divergence analysis- Metroglyph and D2; Generation mean analysis; Parent progeny regression analysis; Mating designs- classification, Diallel, partial diallel; L × T; NCDs; and TTC; Concept of combining ability and gene action; G × E interaction-Adaptability and stability; Methods and models for stability analysis; Basic models- principles and interpretation, Bi-plot analysis; QTL mapping, Strategies for QTL mapping- Desired population and statistical methods, QTL mapping in genetic analysis; Markers, Marker-assisted selection and factors influencing the MAS; Simultaneous selection based on marker and phenotype.

SYLLABUS (PRACTICAL):

Analysis and interpretation of variability parameters; Analysis and interpretation of Index score and Metroglyph; Clustering and interpretation of D2 analysis; Genotypic and phenotypic correlation analysis and interpretation; Path coefficient analysis and interpretation; Estimation of different types of heterosis, inbreeding depression and interpretation; A, B, and C Scaling test; L × T analysis and interpretation; QTL analysis; Use of computer packages; Diallel analysis; G × E interaction and stability analysis.

REFERENCES:

D S Falconer (1989) Introduction to Quantitative Genetics (3rd Edition) Longman Scientific & Technical

Singh & Chaudhary (1987). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publication.

Nandarajan, Manivannan & Gunasekaran (2016). Quantitative Genetics and Biometrical Techniques in Plant Breeding. Kalyani Publication

Phundan singh & SS Naryanan (2013). Biometrical Techniques in Plant Breeding (5th revised edition). Kalyani Publication.

Roy D. (2000). Plant Breeding: Analysis and Exploitation of Variation. Narosa Publishing House, New Delhi.

Sharma JR. (2006). Statistical and Biometrical Techniques in Plant Breeding. New Age International Pvt. Ltd.

SESSION PLAN (THEORY):

SESSION-I: Introduction and historical background of quantitative genetics

SESSION-2: Multiple factor hypothesis, Qualitative and quantitative characters

SESSION-3: Analysis of continuous variation mean, range, SD, CV; Components of variation- Phenotypic, Genotypic, and environmental.

SESSION-4: Nature of gene action- additive, dominance and epistatic, linkage effect

SESSION-5: Principles of Analysis of Variance (ANOVA) - Expected variance components, random and fixed models

SESSION-6: Comparison of means and variances for significance

SESSION-7: Designs for plant breeding experiments – principles and applications

SESSION-8: Variability parameters, concept of selection, simultaneous selection modes and selection of parents, MANOVA.

SESSION-9: Association analysis - phenotypic and genotypic correlations

SESSION-10: Path analysis and Parent - progeny regression analysis

SESSION-11: Discriminant function and principal component analyses

SESSION-12: Genetic divergence analysis- Metroglyph analysis

SESSION-13: Genetic divergence analysis- D2 analysis

SESSION-14: Generation mean analysis, Parent progeny regression analysis

SESSION-15: Selection indices-selection of parents, Simultaneous selection models- concepts of selection - heritability and genetic advance

SESSION-16: Concepts of combining ability and gene action

SESSION-17: Mating designs- Diallel: Hayman’s Approach

SESSION-18: Mating designs- Diallel: Griffing Approach, partial diallel

SESSION-19: Mating designs- line x tester analysis

SESSION-20: Mating designs- NCDs (NCD-I, II, and III)

SESSION-21: Mating designs- Triple Test Cross

SESSION-22: Analysis of genotype x environment interaction

SESSION-23: Analysis of genotype x environment interaction- adaptability and stability

SESSION-24: Models for GxE analysis and stability parameters

SESSION-25: AMMI analysis -principles and interpretation, Biplot analysis

SESSION-26: QTL mapping- Strategies for QTL mapping- desired populations for QTL mapping

SESSION-27: Statistical methods in QTL mapping- QTL mapping

SESSION-28: Marker-assisted selection (MAS)-Approaches to apply MAS in Plant breeding

SESSION-29: Selection based on marker-simultaneous selection based on marker and phenotype - factors influencing MAS

SESSION-30: Principal Component Analysis model - Additive and multiplicative model 

SESSION-31: Mating designs- Triallel and quadriallel, Principal Component Analysis model - Additive and multiplicative model - Shifted multiplicative model

SESSION-32: Analysis and selection of genotypes –Methods and steps 

SESSION PLAN (PRACTICAL):

SESSION-1: Analysis and interpretation of variability parameters

SESSION-2: Estimation of heritability and genetic advance - Covariance analysis

SESSION-3: Analysis and interpretation of Index score and Metroglyph analysis

SESSION-4: Clustering and interpretation of D2 analysis

SESSION-5: Genotypic and phenotypic correlation analysis and interpretation

SESSION-6: Path coefficient analysis and interpretation

SESSION-7: Estimation of different types of heterosis inbreeding depression and interpretation

SESSION-8: A, B and C Scaling test

SESSION-9: Line x tester analysis and interpretation of results

SESSION-10: Diallel analysis- Hayman’s graphical approach and interpretation of results

SESSION-11: Diallel analysis- Griffing's methods I & II and interpretation of results

SESSION-12: Diallel analysis- Griffing's methods III & IV and interpretation of results

SESSION-13: G x E interactions and stability analysis

SESSION-14: Biparental mating (NCD-I, NCD-II and NCD-III) and their interpretations

SESSION-15: QTL mapping - Strategies for QTL mapping; statistical methods in QTL mapping; interpretation

SESSION-16: Use of computer packages

E-STUDY MATERIALS:

PRACTICAL:

MGPB0503 (2-1-0)PR

QUESTION BANK:

MGPB0503(2+1)MCQ Types

ASSIGNMENTS:

Assignment Topic List

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