Prediction of breeding values and variance in (Lolium perenne L.) breeding populations

Leif Skot; John Lovatt; Sarah Palmer; Nastasiya Grinberg; Rhys Kelly

Prediction of breeding values and variance in (Lolium perenne L.) breeding populations

Standard

Prediction of breeding values and variance in (Lolium perenne L.) breeding populations. / Skot, Leif; Lovatt, John; Palmer, Sarah; Grinberg, Nastasiya; Kelly, Rhys.

Sustainable meat and milk production from grasslands: Proceedings of the 27th General Meeting of the European Grassland Federation. ed. / B. Horan; D. Hennessy; M. O'Donovan; E. Kennedy; B. McCarthy; J. A. Finn; B. O'Brien. Fermoy : Teagasc, 2018. p. 342-344 (Grassland Science in Europe; Vol. 23).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

Harvard

Skot, L, Lovatt, J, Palmer, S, Grinberg, N & Kelly, R 2018, Prediction of breeding values and variance in (Lolium perenne L.) breeding populations. in B Horan, D Hennessy, M O'Donovan, E Kennedy, B McCarthy, JA Finn & B O'Brien (eds), Sustainable meat and milk production from grasslands: Proceedings of the 27th General Meeting of the European Grassland Federation. Grassland Science in Europe, vol. 23, Teagasc, Fermoy, pp. 342-344, 27th EGF General Meeting, Cork, Ireland, 17 Jun 2018.

APA

Skot, L., Lovatt, J., Palmer, S., Grinberg, N., & Kelly, R. (2018). Prediction of breeding values and variance in (Lolium perenne L.) breeding populations. In B. Horan, D. Hennessy, M. O'Donovan, E. Kennedy, B. McCarthy, J. A. Finn, & B. O'Brien (Eds.), Sustainable meat and milk production from grasslands: Proceedings of the 27th General Meeting of the European Grassland Federation (pp. 342-344). (Grassland Science in Europe; Vol. 23). Teagasc.

Vancouver

Skot L, Lovatt J, Palmer S, Grinberg N, Kelly R. Prediction of breeding values and variance in (Lolium perenne L.) breeding populations. In Horan B, Hennessy D, O'Donovan M, Kennedy E, McCarthy B, Finn JA, O'Brien B, editors, Sustainable meat and milk production from grasslands: Proceedings of the 27th General Meeting of the European Grassland Federation. Fermoy: Teagasc. 2018. p. 342-344. (Grassland Science in Europe).

Author

Skot, Leif ; Lovatt, John ; Palmer, Sarah ; Grinberg, Nastasiya ; Kelly, Rhys. / Prediction of breeding values and variance in (Lolium perenne L.) breeding populations. Sustainable meat and milk production from grasslands: Proceedings of the 27th General Meeting of the European Grassland Federation. editor / B. Horan ; D. Hennessy ; M. O'Donovan ; E. Kennedy ; B. McCarthy ; J. A. Finn ; B. O'Brien. Fermoy : Teagasc, 2018. pp. 342-344 (Grassland Science in Europe).

Bibtex - Download

@inproceedings{320fa168019f484b8d37806c380ea4e0,

title = "Prediction of breeding values and variance in (Lolium perenne L.) breeding populations",

abstract = " Perennial ryegrass (Lolium perenne L.) is the most important forage crop in temperate grassland agriculture, but acceleration of the rate of improvement of genetic gain is desirable. Genomic selection (GS) has the potential to achieve this, but prediction accuracies need to be sufficiently high to compete with phenotypic selection. Here we report the results of the performance of GS in the breeding programme at the Institute of Biological, Environmental and Rural Sciences (IBERS) using data from more generations than previously possible. Cross validation analysis showed that the highest prediction accuracies were obtained for dry matter digestibility (0.84) and water soluble carbohydrates (0.82). The accuracies for yield related traits ranged from 0.3 to 0.55. All accuracies represent an improvement on previous results. We also used the data to obtain predictions of the breeding values and their variance of all pairwise crosses of the population. Such data are likely to be helpful in deciding selections for variety generation and the population improvement cycle. The available variance is more important to preserve for the improvement cycle, while the highest possible combination of breeding values is needed for variety generation",

keywords = "lolium perenne L., breeding, genomic selection, prediction accuracy",

author = "Leif Skot and John Lovatt and Sarah Palmer and Nastasiya Grinberg and Rhys Kelly",

year = "2018",

language = "English",

isbn = "9781841706436",

series = "Grassland Science in Europe",

publisher = "Teagasc",

pages = "342--344",

editor = "B. Horan and D. Hennessy and M. O'Donovan and E. Kennedy and B. McCarthy and Finn, {J. A.} and B. O'Brien",

booktitle = "Sustainable meat and milk production from grasslands",

address = "Ireland",

note = "27th EGF General Meeting : Sustainable meat and milk production from grasslands ; Conference date: 17-06-2018 Through 21-06-2018",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Prediction of breeding values and variance in (Lolium perenne L.) breeding populations

AU - Skot, Leif

AU - Lovatt, John

AU - Palmer, Sarah

AU - Grinberg, Nastasiya

AU - Kelly, Rhys

N1 - Conference code: 27

PY - 2018

Y1 - 2018

N2 - Perennial ryegrass (Lolium perenne L.) is the most important forage crop in temperate grassland agriculture, but acceleration of the rate of improvement of genetic gain is desirable. Genomic selection (GS) has the potential to achieve this, but prediction accuracies need to be sufficiently high to compete with phenotypic selection. Here we report the results of the performance of GS in the breeding programme at the Institute of Biological, Environmental and Rural Sciences (IBERS) using data from more generations than previously possible. Cross validation analysis showed that the highest prediction accuracies were obtained for dry matter digestibility (0.84) and water soluble carbohydrates (0.82). The accuracies for yield related traits ranged from 0.3 to 0.55. All accuracies represent an improvement on previous results. We also used the data to obtain predictions of the breeding values and their variance of all pairwise crosses of the population. Such data are likely to be helpful in deciding selections for variety generation and the population improvement cycle. The available variance is more important to preserve for the improvement cycle, while the highest possible combination of breeding values is needed for variety generation

AB - Perennial ryegrass (Lolium perenne L.) is the most important forage crop in temperate grassland agriculture, but acceleration of the rate of improvement of genetic gain is desirable. Genomic selection (GS) has the potential to achieve this, but prediction accuracies need to be sufficiently high to compete with phenotypic selection. Here we report the results of the performance of GS in the breeding programme at the Institute of Biological, Environmental and Rural Sciences (IBERS) using data from more generations than previously possible. Cross validation analysis showed that the highest prediction accuracies were obtained for dry matter digestibility (0.84) and water soluble carbohydrates (0.82). The accuracies for yield related traits ranged from 0.3 to 0.55. All accuracies represent an improvement on previous results. We also used the data to obtain predictions of the breeding values and their variance of all pairwise crosses of the population. Such data are likely to be helpful in deciding selections for variety generation and the population improvement cycle. The available variance is more important to preserve for the improvement cycle, while the highest possible combination of breeding values is needed for variety generation

KW - lolium perenne L.

KW - breeding

KW - genomic selection

KW - prediction accuracy

M3 - Conference Proceeding (Non-Journal item)

SN - 9781841706436

T3 - Grassland Science in Europe

SP - 342

EP - 344

BT - Sustainable meat and milk production from grasslands

A2 - Horan, B.

A2 - Hennessy, D.