RiseUpp Logo
Educator Logo

AlphaSimR Breeding Programme Modeling

Master computer modeling for agricultural breeding programs using AlphaSimR. Learn to simulate and evaluate genetic improvements in crops and livestock.

Master computer modeling for agricultural breeding programs using AlphaSimR. Learn to simulate and evaluate genetic improvements in crops and livestock.

This specialized course teaches the fundamentals of breeding program modeling using the AlphaSimR package in R. Students learn to design, simulate, and analyze breeding scenarios for various agricultural species. The curriculum covers DNA-trait relationships, selection response, and complex breeding program modeling, providing practical skills for optimizing genetic improvements in agriculture through computer simulation.

4.6

(17 ratings)

Instructors:

English

English

Powered by

Provider Logo
AlphaSimR Breeding Programme Modeling

This course includes

5 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,012

What you'll learn

  • Design and setup computer simulated breeding programs

  • Implement breeding scenarios using AlphaSimR package

  • Analyze genetic improvement outcomes across populations

  • Evaluate breeding strategies for different species

  • Understand DNA trait relationships in breeding programs

Skills you'll gain

Breeding Program Modeling
AlphaSimR
Genetic Improvement
Agricultural Genetics
Computer Simulation
R Programming
DNA Analysis
Selection Response
Population Genetics
Performance Analysis

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Provided by

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 5 modules in this course

This course provides comprehensive training in breeding program modeling using AlphaSimR. Students learn to design and simulate breeding programs, analyze genetic improvements, and evaluate different breeding scenarios. The curriculum covers key concepts including DNA-trait relationships, genetic lottery simulation, selection response analysis, and complex breeding program modeling. Through practical exercises and case studies, participants gain hands-on experience in optimizing breeding programs for various agricultural species.

Introduction to breeding programme modelling

Module 1

Relationship between DNA & traits

Module 2

DNA Lottery

Module 3

Response to selection

Module 4

Modelling complex breeding programmes

Module 5

Fee Structure

Instructors

Distinguished Expert in Selective Breeding and Population Genetics

Gregor Gorjanc is a Professor of Selective Breeding at The Roslin Institute, University of Edinburgh, where he leads the HighlanderLab focusing on population improvement through data science, genetics, and breeding. His academic journey began in Slovenia, earning an engineering degree in Animal Science (2003) and a PhD in Genetics (2010) from the University of Ljubljana, where he subsequently held a teaching position before moving to The Roslin Institute in 2013. His research encompasses three main areas: developing methods for genetics and breeding, designing and optimizing breeding programs, and analyzing phenotypic and genetic data to understand biology and improve populations. Gorjanc's expertise uniquely spans multiple domains, including data science, genetics, and breeding, with applications across diverse agricultural populations including animals, plants, and insects. His work at the HighlanderLab demonstrates his commitment to advancing selective breeding techniques through innovative approaches to population management and improvement.

Ivan Pocrnic
Ivan Pocrnic

1 Course

Distinguished Expert in Statistical Genetics and Animal Breeding

Ivan Pocrnic is a Career Track Fellow at The Roslin Institute, University of Edinburgh, where he specializes in developing novel breeding methodologies and tools at the interface of theoretical quantitative genetics and practical animal breeding. His academic journey began at the University of Zagreb, Croatia, where he earned a BSc in Agricultural Economics and an MSc in Animal Genetics and Breeding. After gaining practical experience at the Croatian Agricultural Agency, he completed his PhD in Animal Breeding and Genetics at the University of Georgia under distinguished scientist Professor Ignacy Misztal. Pocrnic's expertise lies in applying genomic selection to mega-scale datasets across various species including pigs, chickens, and cattle, with a particular focus on single-step genomic prediction. His significant contributions include developing algorithms for mega-scale evaluations now implemented by major livestock breeding companies. At Roslin, he works with diverse data types, from genomic and pedigree information to productivity and environmental records, developing statistical models to predict optimal breeding strategies. His current research focuses on cross-breeding programs and the development of statistical models for analyzing genetic variability in relation to climate challenges.

AlphaSimR Breeding Programme Modeling

This course includes

5 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,012

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

17 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.