A method for partitioning trends in genetic mean and variance to understand/improve breeding practices

Thiago De Paula Oliveira; Jana Obsteter; Ivan Pocrnic; Gregor Gorjanc

A method for partitioning trends in genetic mean and variance to understand/improve breeding practices

Thiago De Paula Oliveira, Jana Obsteter, Ivan Pocrnic, Gregor Gorjanc

Research output: Contribution to conference › Paper

Abstract

Quantifying the sources of genetic change is essential for optimising breeding programmes. However, breeding programmes are often complex because many breeding groups are subject to different breeding actions. Understanding the contribution of these groups to changes in genetic mean and variance is essential to understanding genetic change in breeding programmes. Here we extend the previously developed method for analysing the contribution of groups to changes in genetic mean to analysing changes in genetic variance. We, expectedly, show that the contribution of females and males to change in genetic variance can differ and are not independent, indicating we should not look at the contributions in isolation

Original language	English
Publication status	Published - 3 Jul 2022
Event	World Congress on Genetics Applied Livestock Production - Rotterdam, Netherlands Duration: 3 Jul 2022 → 8 Jul 2022 https://wcgalp.com/

Conference

Conference	World Congress on Genetics Applied Livestock Production
Country/Territory	Netherlands
City	Rotterdam
Period	3/07/22 → 8/07/22
Internet address	https://wcgalp.com/

Access to Document

paperFinal published version, 454 KB

Quantifying the Drivers of Genetic Change in Plant Breeding
De Paula Oliveira, T. (Researcher) & Gorjanc, G. (Principal Investigator)
1/10/20 → 30/09/23
Project: Research

Cite this

@conference{89173a28f9d74651a4a502623d156669,

title = "A method for partitioning trends in genetic mean and variance to understand/improve breeding practices",

abstract = "Quantifying the sources of genetic change is essential for optimising breeding programmes. However, breeding programmes are often complex because many breeding groups are subject to different breeding actions. Understanding the contribution of these groups to changes in genetic mean and variance is essential to understanding genetic change in breeding programmes. Here we extend the previously developed method for analysing the contribution of groups to changes in genetic mean to analysing changes in genetic variance. We, expectedly, show that the contribution of females and males to change in genetic variance can differ and are not independent, indicating we should not look at the contributions in isolation",

author = "{De Paula Oliveira}, Thiago and Jana Obsteter and Ivan Pocrnic and Gregor Gorjanc",

year = "2022",

month = jul,

day = "3",

language = "English",

note = "World Congress on Genetics Applied Livestock Production<br/> ; Conference date: 03-07-2022 Through 08-07-2022",

url = "https://wcgalp.com/",

}

TY - CONF

T1 - A method for partitioning trends in genetic mean and variance to understand/improve breeding practices

AU - De Paula Oliveira, Thiago

AU - Obsteter, Jana

AU - Pocrnic, Ivan

AU - Gorjanc, Gregor

PY - 2022/7/3

Y1 - 2022/7/3

N2 - Quantifying the sources of genetic change is essential for optimising breeding programmes. However, breeding programmes are often complex because many breeding groups are subject to different breeding actions. Understanding the contribution of these groups to changes in genetic mean and variance is essential to understanding genetic change in breeding programmes. Here we extend the previously developed method for analysing the contribution of groups to changes in genetic mean to analysing changes in genetic variance. We, expectedly, show that the contribution of females and males to change in genetic variance can differ and are not independent, indicating we should not look at the contributions in isolation

AB - Quantifying the sources of genetic change is essential for optimising breeding programmes. However, breeding programmes are often complex because many breeding groups are subject to different breeding actions. Understanding the contribution of these groups to changes in genetic mean and variance is essential to understanding genetic change in breeding programmes. Here we extend the previously developed method for analysing the contribution of groups to changes in genetic mean to analysing changes in genetic variance. We, expectedly, show that the contribution of females and males to change in genetic variance can differ and are not independent, indicating we should not look at the contributions in isolation

M3 - Paper

T2 - World Congress on Genetics Applied Livestock Production<br/>

Y2 - 3 July 2022 through 8 July 2022

ER -

A method for partitioning trends in genetic mean and variance to understand/improve breeding practices

Abstract

Conference

Access to Document

Fingerprint

Projects

Quantifying the Drivers of Genetic Change in Plant Breeding

Cite this