ZO0056 Estimation Methods of Genetic Parameters

6 ECTS - 2-0 Duration (T+A)- . Semester- 2 National Credit

Information

Code ZO0056
Name Estimation Methods of Genetic Parameters
Term 2022-2023 Academic Year
Semester . Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

This course aims to teach the estimation methods of genetic parameters such as heritability, repeatability, genetic and phenotypic correlations, and how to analyze the data to estimate genetic parameters.

Course Content

This course covers the topics on methods for the estimation of components of variance and co-variance with specific focus given to their application to heritability, repeatability and genetic correlation estimation.

Course Precondition

No prerequisites

Resources

Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. Cabi.

Notes

Cebeci, Z. (2020). Data Preprocessing With R in Data Science. Nobel Akademik Yayıncılık, Ankara. ISBN 9786254060755


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands genetic parameters and their importance in animal breeding.
LO02 Learns the estimation methods of heritability, and makes predictions using these methods.
LO03 Learns the methods for estimating the repeatability of traits
LO04 Estimates genetic and phenotypic correlations between the traits.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal After undergraduate education, increases knowledge in one of the fields of animal breeding and breeding, feeds and animal nutrition, biometrics and genetics. 3
PLO02 Bilgi - Kuramsal, Olgusal Understands the interaction between different disciplines 1
PLO03 Bilgi - Kuramsal, Olgusal Gains the ability to develop strategic approaches and produce regional, national or international solutions for the field of animal science
PLO04 Bilgi - Kuramsal, Olgusal Gains the ability to develop knowledge with scientific methods by using the data in animal science, and to use this knowledge with the awareness of scientific, social and ethical responsibility. 2
PLO05 Bilgi - Kuramsal, Olgusal Gains the ability to use and develop information technologies with computer software and hardware knowledge required by the field of animal science. 4
PLO06 Bilgi - Kuramsal, Olgusal Gains the ability to convey their own studies or current developments in the field of animal science to groups in the field or other fields of science, verbally and visually.
PLO07 Bilgi - Kuramsal, Olgusal Gains the ability to evaluate the quality processes of animal products
PLO08 Bilgi - Kuramsal, Olgusal Gains the ability to keep animal production dynamic in accordance with changing economic and social conditions.
PLO09 Bilgi - Kuramsal, Olgusal Gains the ability to follow national and international current issues, to follow developments in lifelong learning, science and technology, to constantly renew themselves and to transfer innovations to animal production.
PLO10 Bilgi - Kuramsal, Olgusal Hayvansal ürünler ile insan sağlığı ve toplum refahı arasındaki ilişkiyi özümser


Week Plan

Week Topic Preparation Methods
1 Genetic parameters and their usage in animal breeding On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Heritability and estimation methods On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Estimaton of heritability from selection and crossbreeding experimental data On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Estimaton of heritability from data on animal relatives On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Repeatability and estimation methods On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Phenotypic correlations and estimation methods On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Genetic correlations and estimation methods On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Preparation for the exam Ölçme Yöntemleri:
Ödev, Sözlü Sınav
9 Estimation of genetic parameters with WOMBAT software On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Simulation and creating artifical population data On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Estimation of genetic parameters for milk yield On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Estimation of genetic parameters for meat yield On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Correlations between two traits On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Case Study (1) On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Grup Çalışması, Problem Çözme
15 Case Study (2) On the Internet, searching for the learning resources, reading the tutorials, lecture notes and textbooks, and problem solving related with the topic. Öğretim Yöntemleri:
Grup Çalışması, Problem Çözme
16 Term Exams Preparation for the exam Ölçme Yöntemleri:
Sözlü Sınav, Ödev
17 Term Exams Preparation for the exam Ölçme Yöntemleri:
Ödev, Sözlü Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 6 84
Assesment Related Works
Homeworks, Projects, Others 2 6 12
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 12 12
Total Workload (Hour) 142
Total Workload / 25 (h) 5,68
ECTS 6 ECTS

Update Time: 17.11.2022 01:32