SylbV01-00-00. pmd

Total
32
I. Course Title
: Quantitative Forest Genetics
II. Course Code
: FBT 603
III. Credit Hours
: 2+1
IV. Aim of the course
To develop understanding of principles of biometrical genetics and utility of various

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Restructured and Revised Syllabi of Post-graduate Programmes
Vol. 1
606
biometrical techniques in tree improvement programmes.
V. Theory
Unit I
Concepts inquantitative genetics, quantitative inheritance, historical aspects, Galton
(1869) methods for studying quantitative traits, qualitative and quantitative traits
and their inheritance, property of nuclear born genes (segregation and linkages).
Linkage between major gene and polygenes. Evidence that quantitative trait is
inherited in Mendalian Fashion. Nilsson Ehle (1908) multiple factor hypothesis.
East (1916) experiment on 
Nicotiana longifera
.
Unit II
Genetic components of continuous variation gene models (additive, dominance,
epistasis) features of additive gene action, features of non-additive gene action,
genetic variance in F
2
population in various gene models. Important principles
established by NCSU (North Carolina State University) for forest Tree Improvement,
Origin of variation, estimation of hereditary parameters, variance derivation in F
2
and backcrosses. Genotype X environment interaction, its measurement and
significance. Concepts of heritablility and genetic advance. Random mating in forest
trees, their population structure and response to selection.
Unit III
Quantitative genetics in relation to efficient breeding methodology – partitioning
of means and variances, simple scaling and joint scaling tests. Line X tester analysis
and diallel analysis mating designs in tree improvement, incomplete pedigree design
and complete pedigree design.
Unit IV
Usefulness of biometrical techniques. Assessment of variability, variance analysis,
metroglymph analysis, D
2
. Statistic. Aids to selection correlation, path analysis,
discriminant function. Aids to choice of parents: Assessment of adaptability, stability
analysis, software in forest genetic analysis and their interpretation.