Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
PRINCIPLES OF SELECTION INDEX 802400715030 3 + 0 3.0 8.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The aim of this course is to teach the basic principles of determination of economic values of various properties that will be provided genetic improvement, to teach the methods of calculation of economic coefficients in the index equations by considering the current and future economic conditions while deciding which individuals to be selected in a breeding program.
Course Content Basic principles of response to selection. Economic selection index. Non-linear index. Appropriate economic environments. Deriving economic weights from profit function. Non-linear profit functions. Case of zero profit. Re-optimization with constrains. Estimating economic weights for catagorical traits. Gene flow, discounting and investment appraisal. Incorporating risk and profitability of success into breeding strategies.
Learning Outcomes 1) Lerning Selection Index Theory
2) Lerning Derivation of Economic Weghts in Selection Index
3) Practical Learning Selection Index in Animal Breeding

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Multiple Pathways of Ekonomik Selection Lecture
Brainstorming
 Homework
2. Week Theory of Economic Selection Index Lecture
Brainstorming
 Homework
3. Week Economic Selectıon Index Lecture
Brainstorming
 Homework
4. Week Economic Family Selection Index Lecture
Brainstorming
 Homework
5. Week Derivation of Economic Selection Index Weights Lecture
Brainstorming
 Homework
6. Week Derivation of Economic Selection Index Weights Lecture
Brainstorming
 Homework
7. Week Midterm Exam Question Answer
Brainstorming
 Homework
8. Week Selection Index Using Breeding Valu Estimates Lecture
Brainstorming
 Homework
9. Week Derivation of Economic Weights Using Profit Function Lecture
Brainstorming
 Homework
10. Week Gene Flow, Genetic Degredaion, Evaluation of Invesment Lecture
Brainstorming
 Homework
11. Week Ekonomic Animal Breeding Design Lecture
Brainstorming
 Homework
12. Week Other Methods in Animal Breeding Programs Lecture
Brainstorming
 Homework
13. Week Integration of Risk and Revenue to Animal Breeding Strategies Lecture
Brainstorming
 Homework
14. Week Final Exam Question Answer
Brainstorming
 Homework

Sources Used in This Course
Recommended Sources
Dekkers, J.C.M. 1992. Estimation of economic values for dairy cattle breeding goals: bias due to sub-optimal management policies. Livest. Prod. Sci. 29:131-149
Dekkers, J.C.M. 1992. Canada’s lifetime profit index. Holstein World, 89 (Jan):21-23.
Dekkers, J.C.M. and Shook, G.E. 1990. Economic evaluation of alternative breeding programs for commercial artificial insemination firms. J. Dairy Sci. 73:1907-1919.
Dekkers, J.C.M., and J.P. Gibson. 1998. Applying breeding objectives to dairy cattle improvement. J. Dairy Sci. 81 Suppl.2:19-35.
Gibson, J. P. 1995. An introduction to the design and economics of animal breeding strategies. Ctr Genet. Improve. Lives., Dep. Anim. Poult. Sci., Univ. Guelph, Guelph, ON, Canada.
Hazel, L.M. 1943. The genetic basis for constructing selection indexes. Genet. 28:476-490.
Henderson, C. R. 1988. Theoretical basis and computational methods for a number of different animal models. J. Dairy Sci. 71(suppl.2):1-15.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15555
PY25000
PY35000
PY45000
PY55000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 5
Homework 14 6
Seminar 1 2
Quiz 4 1
Time to prepare for Quiz 4 5
Midterm Exam 2 2
Time to prepare for Midterm Exam 2 6
Final Exam 1 2
Time to prepare for Final Exam 1 10
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload