DESCRIPTION OF COURSES
GP 550 FUNDAMENTAL CONCEPTS OF PLANT BREEDING (3L+2P) I
To learn principles of Mendelian and quantitative genetics and it’s applications in practical plant breeding.
Variability -phenotypic, genetic and environmental and their role in breeding, adaptation and evolution.
Concepts of quantitative traits and Mendalian genetics and their molecular basis; Nature of quantitative traits and their inheritance - Multiple factor hypothesis - analysis of continuous variation - Variations associated with polygenic traits - phenotypic, genotypic and environmental
- non-allelic interactions; Resemblance between relatives; Heritability; Estimation of variance components-additive and dominance variances, combining ability-GCA, SCA effects.
Mating designs, examples from crops to illustrate inferences drawn for plant breeding decisions. Generation mean analysis, mating designs- Diallel, Partial Diallel, Line x tester analysis, NCDs and TTC,
Genetic diversity analysis; phenotypic and genotypic correlations, Path analysis; Heterosis- relationship between Heterosis and genetic diversity. Concepts of combining ability and gene action–- Inbreeding and cross breeding: changes of mean and variance and applications.
Simple concepts of selection, selection - heritability and genetic advance; various selection methods through specific examples from various crops. Response to selection, the speed of advance under selection, correlated response under selection, Selection for multiple characters, Tandem selection, Selection index. Basic concepts of Marker assisted selection.
G x E interactions- principle and interpretation -various methods of their estimation with illustrative examples from crop plants. Analysis of genotype x environment interaction - adaptability and stability,
Problems on multiple factors inheritance - Partitioning of variance - Estimation of heritability and genetic advance Cluster analysis; Correlation and Path analysis - Diallel analysis: Griffin’s method II & HAYMAN’s graphical approach; NCD and Line x tester analysis; Generation mean analysis; Partitioning of phenotypic variance and co-variance into components due to genotypes, environment and genotype x environment interactions. Practical on G x E interaction.