TÜRKÇE
ENGLISH
Information
| Code | ZO546 |
| Name | Estimation Methods of Genetic Parameters |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ZEYNEL CEBECİ |
Course Goal
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 calculates the parameters using these methods |
| LO03 | Estimates heritability and repeatability of traits |
| LO04 | Estimates phenotypic and genetic correlations |
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 |
| 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: Sözlü Sınav, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||