Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus

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Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus. / Davey, Christopher; Nipper, Rick; Robson, Paul; Farrar, Kerrie; Clifton-Brown, John; Jensen, Elaine; Donnison, Iain; Slavov, Gancho.

2016. Abstract from Plant and Animal Genome Conference XXIV, San Diego, California, United States of America.

Research output: Contribution to conference › Abstract

Harvard

Davey, C, Nipper, R, Robson, P, Farrar, K, Clifton-Brown, J, Jensen, E, Donnison, I & Slavov, G 2016, 'Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus', Plant and Animal Genome Conference XXIV, San Diego, California, United States of America, 09 Jan 2016 - 13 Jan 2016.

APA

Davey, C., Nipper, R., Robson, P., Farrar, K., Clifton-Brown, J., Jensen, E., Donnison, I., & Slavov, G. (2016). Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus. Abstract from Plant and Animal Genome Conference XXIV, San Diego, California, United States of America.

Vancouver

Davey C, Nipper R, Robson P, Farrar K, Clifton-Brown J, Jensen E et al. Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus. 2016. Abstract from Plant and Animal Genome Conference XXIV, San Diego, California, United States of America.

Author

Davey, Christopher ; Nipper, Rick ; Robson, Paul ; Farrar, Kerrie ; Clifton-Brown, John ; Jensen, Elaine ; Donnison, Iain ; Slavov, Gancho. / Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus. Abstract from Plant and Animal Genome Conference XXIV, San Diego, California, United States of America.1 p.

Bibtex - Download

@conference{8433d2702b8d416294e7f94d9eb55598,
title = "Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus",
abstract = "Miscanthus has great potential as a biofuel crop because of its high productivity for low input. However, it is an undomesticated out-breeding perennial which makes the rapid development of commercial varieties demanded for carbon mitigation a challenging process. Therefore, the aim of this study was to access the potential of genomic selection (GS) to predict biomass yield and traits correlated to it, using a genome wide marker set. The GS predictive abilities (correlation of predicted and observed genetic values) across traits ranged from 0.76 for day of flag leaf production down to 0.06 for yield itself. To improve the yield prediction, a set of selection indices were built using between one and eight additional traits, aiming to minimise the phenotyping effort needed by breeding programs, while jointly maximising the response to selection and predictive ability through GS. The relative response to selection on the indices compared to yield alone were up to 16% higher, whereas GS on the selection indices resulted in predictive abilities that were up to six times higher than for yield. This is a substantial increase in the ability to make predictions about biomass yield and with further work could be used, for instance, to prioritise crosses, as well as to select seedlings directly from their marker profiles hence reducing breeding-cycle times.",
author = "Christopher Davey and Rick Nipper and Paul Robson and Kerrie Farrar and John Clifton-Brown and Elaine Jensen and Iain Donnison and Gancho Slavov",
year = "2016",
language = "English",
note = "Plant and Animal Genome Conference XXIV ; Conference date: 09-01-2016 Through 13-01-2016",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Selection and Genome-Wide Prediction of Phenology and Biomass Yield in Miscanthus

AU - Davey, Christopher

AU - Nipper, Rick

AU - Robson, Paul

AU - Farrar, Kerrie

AU - Clifton-Brown, John

AU - Jensen, Elaine

AU - Donnison, Iain

AU - Slavov, Gancho

PY - 2016

Y1 - 2016

N2 - Miscanthus has great potential as a biofuel crop because of its high productivity for low input. However, it is an undomesticated out-breeding perennial which makes the rapid development of commercial varieties demanded for carbon mitigation a challenging process. Therefore, the aim of this study was to access the potential of genomic selection (GS) to predict biomass yield and traits correlated to it, using a genome wide marker set. The GS predictive abilities (correlation of predicted and observed genetic values) across traits ranged from 0.76 for day of flag leaf production down to 0.06 for yield itself. To improve the yield prediction, a set of selection indices were built using between one and eight additional traits, aiming to minimise the phenotyping effort needed by breeding programs, while jointly maximising the response to selection and predictive ability through GS. The relative response to selection on the indices compared to yield alone were up to 16% higher, whereas GS on the selection indices resulted in predictive abilities that were up to six times higher than for yield. This is a substantial increase in the ability to make predictions about biomass yield and with further work could be used, for instance, to prioritise crosses, as well as to select seedlings directly from their marker profiles hence reducing breeding-cycle times.

AB - Miscanthus has great potential as a biofuel crop because of its high productivity for low input. However, it is an undomesticated out-breeding perennial which makes the rapid development of commercial varieties demanded for carbon mitigation a challenging process. Therefore, the aim of this study was to access the potential of genomic selection (GS) to predict biomass yield and traits correlated to it, using a genome wide marker set. The GS predictive abilities (correlation of predicted and observed genetic values) across traits ranged from 0.76 for day of flag leaf production down to 0.06 for yield itself. To improve the yield prediction, a set of selection indices were built using between one and eight additional traits, aiming to minimise the phenotyping effort needed by breeding programs, while jointly maximising the response to selection and predictive ability through GS. The relative response to selection on the indices compared to yield alone were up to 16% higher, whereas GS on the selection indices resulted in predictive abilities that were up to six times higher than for yield. This is a substantial increase in the ability to make predictions about biomass yield and with further work could be used, for instance, to prioritise crosses, as well as to select seedlings directly from their marker profiles hence reducing breeding-cycle times.

UR - http://hdl.handle.net/2160/41279

M3 - Abstract

T2 - Plant and Animal Genome Conference XXIV

Y2 - 9 January 2016 through 13 January 2016

ER -

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