FUNDAMENTALS OF QUANTITATIVE GENETICS
Teacher
Dr. Niranjan Kumar Chaurasia
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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
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