Long-term genetic contributions : prediction of rates of inbreeding and genetic gain in selected populations

Research output: Thesisinternal PhD, WUAcademic

Abstract

<p>This dissertation focuses on the prediction of long-term genetic contributions, rates of inbreeding and rates of gain in artificially selected populations. The long-term genetic contribution ( <em>r <sub>i</sub></em> ) of ancestor <em>i</em> born at time <em>t <sub>1</sub></em> , is defined as the proportion of genes from <em>i</em> that are present in individuals in generation <em>t <sub>2</sub></em> deriving by descent from <em>i</em> , where ( <em>t <sub>2</sub></em> - <em>t <sub>1</sub></em> )→∞.</p><p>The long-term genetic contribution of an individual was predicted by linear regression on the selective advantage of the individual. With overlapping generations, long-term genetic contributions were predicted using a modified gene flow approach. A novel definition of generation interval was introduced, which states that the generation interval is the length of time in which long-term genetic contributions sum to unity. It was shown that the rate of inbreeding is proportional to the sum of squared of expected long-term genetic contributions and that the rate of genetic gain is proportional to the sum of cross products of long-term genetic contributions and Mendelian sampling terms. Accurate predictions of rates of inbreeding were obtained for populations with discrete or overlapping generations undergoing either mass selection or selection on Best Linear Unbiased Prediction of breeding values. The method was applied to crossbreeding systems, which showed that the use of crossbred information may increase the rate of genetic gain, but measures to restrict the rate of inbreeding are required.</p>
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • Brascamp, E.W., Promotor, External person
  • van Arendonk, J.A.M., Promotor
  • Woolliams, J.A., Promotor, External person
Award date27 Jun 2000
Place of PublicationS.l.
Publisher
Print ISBNs9789058082411
Publication statusPublished - 2000

Fingerprint

inbreeding
genetic improvement
prediction
breeding value
gene flow
crossbreds
ancestry
genes

Keywords

  • livestock
  • animal breeding
  • inbreeding
  • genetic gain
  • genetic diversity
  • selection
  • cum laude

Cite this

@phdthesis{e91f225535ad4d10ab4eb5d4f65403b9,
title = "Long-term genetic contributions : prediction of rates of inbreeding and genetic gain in selected populations",
abstract = "This dissertation focuses on the prediction of long-term genetic contributions, rates of inbreeding and rates of gain in artificially selected populations. The long-term genetic contribution ( r i ) of ancestor i born at time t 1 , is defined as the proportion of genes from i that are present in individuals in generation t 2 deriving by descent from i , where ( t 2 - t 1 )→∞.The long-term genetic contribution of an individual was predicted by linear regression on the selective advantage of the individual. With overlapping generations, long-term genetic contributions were predicted using a modified gene flow approach. A novel definition of generation interval was introduced, which states that the generation interval is the length of time in which long-term genetic contributions sum to unity. It was shown that the rate of inbreeding is proportional to the sum of squared of expected long-term genetic contributions and that the rate of genetic gain is proportional to the sum of cross products of long-term genetic contributions and Mendelian sampling terms. Accurate predictions of rates of inbreeding were obtained for populations with discrete or overlapping generations undergoing either mass selection or selection on Best Linear Unbiased Prediction of breeding values. The method was applied to crossbreeding systems, which showed that the use of crossbred information may increase the rate of genetic gain, but measures to restrict the rate of inbreeding are required.",
keywords = "vee, dierveredeling, inteelt, genetische winst, genetische diversiteit, selectie, livestock, animal breeding, inbreeding, genetic gain, genetic diversity, selection, cum laude",
author = "P. Bijma",
note = "WU thesis 2820 Proefschrift Wageningen",
year = "2000",
language = "English",
isbn = "9789058082411",
publisher = "s.n.",

}

Long-term genetic contributions : prediction of rates of inbreeding and genetic gain in selected populations. / Bijma, P.

S.l. : s.n., 2000. 225 p.

Research output: Thesisinternal PhD, WUAcademic

TY - THES

T1 - Long-term genetic contributions : prediction of rates of inbreeding and genetic gain in selected populations

AU - Bijma, P.

N1 - WU thesis 2820 Proefschrift Wageningen

PY - 2000

Y1 - 2000

N2 - This dissertation focuses on the prediction of long-term genetic contributions, rates of inbreeding and rates of gain in artificially selected populations. The long-term genetic contribution ( r i ) of ancestor i born at time t 1 , is defined as the proportion of genes from i that are present in individuals in generation t 2 deriving by descent from i , where ( t 2 - t 1 )→∞.The long-term genetic contribution of an individual was predicted by linear regression on the selective advantage of the individual. With overlapping generations, long-term genetic contributions were predicted using a modified gene flow approach. A novel definition of generation interval was introduced, which states that the generation interval is the length of time in which long-term genetic contributions sum to unity. It was shown that the rate of inbreeding is proportional to the sum of squared of expected long-term genetic contributions and that the rate of genetic gain is proportional to the sum of cross products of long-term genetic contributions and Mendelian sampling terms. Accurate predictions of rates of inbreeding were obtained for populations with discrete or overlapping generations undergoing either mass selection or selection on Best Linear Unbiased Prediction of breeding values. The method was applied to crossbreeding systems, which showed that the use of crossbred information may increase the rate of genetic gain, but measures to restrict the rate of inbreeding are required.

AB - This dissertation focuses on the prediction of long-term genetic contributions, rates of inbreeding and rates of gain in artificially selected populations. The long-term genetic contribution ( r i ) of ancestor i born at time t 1 , is defined as the proportion of genes from i that are present in individuals in generation t 2 deriving by descent from i , where ( t 2 - t 1 )→∞.The long-term genetic contribution of an individual was predicted by linear regression on the selective advantage of the individual. With overlapping generations, long-term genetic contributions were predicted using a modified gene flow approach. A novel definition of generation interval was introduced, which states that the generation interval is the length of time in which long-term genetic contributions sum to unity. It was shown that the rate of inbreeding is proportional to the sum of squared of expected long-term genetic contributions and that the rate of genetic gain is proportional to the sum of cross products of long-term genetic contributions and Mendelian sampling terms. Accurate predictions of rates of inbreeding were obtained for populations with discrete or overlapping generations undergoing either mass selection or selection on Best Linear Unbiased Prediction of breeding values. The method was applied to crossbreeding systems, which showed that the use of crossbred information may increase the rate of genetic gain, but measures to restrict the rate of inbreeding are required.

KW - vee

KW - dierveredeling

KW - inteelt

KW - genetische winst

KW - genetische diversiteit

KW - selectie

KW - livestock

KW - animal breeding

KW - inbreeding

KW - genetic gain

KW - genetic diversity

KW - selection

KW - cum laude

M3 - internal PhD, WU

SN - 9789058082411

PB - s.n.

CY - S.l.

ER -