Show simple item record Davey, Christopher Robson, Paul Hawkins, Sarah Farrar, Kerrie Clifton-Brown, John Donnison, Iain Slavov, Gancho 2017-10-10T09:13:26Z 2017-10-10T09:13:26Z 2017-10-12
dc.identifier.citation Davey , C , Robson , P , Hawkins , S , Farrar , K , Clifton-Brown , J , Donnison , I & Slavov , G 2017 , ' Genetic relationships between spring emergence, canopy phenology and biomass yield increase the accuracy of genomic prediction in Miscanthus ' Journal of Experimental Botany , vol. 68 , no. 18 , pp. 5093-5102 . en
dc.identifier.issn 0022-0957
dc.identifier.other PURE: 7472204
dc.identifier.other PURE UUID: afda42cd-da8f-4643-a423-059b5fcef12c
dc.identifier.other Scopus: 85034582629
dc.identifier.other PubMed: 29040628
dc.identifier.other PubMedCentral: PMC5853932
dc.identifier.other 2160/45640
dc.identifier.other ORCID: /0000-0003-1841-3594/work/61776308
dc.description.abstract Miscanthus has potential as a bioenergy crop but the rapid development of high-yielding varieties is challenging. Previous studies have suggested that phenology and canopy height are important determinants of biomass yield. Furthermore, while genome-wide prediction was effective for a broad range of traits, the predictive ability for yield was very low. We therefore developed models clarifying the genetic associations between spring emergence, consequent canopy phenology and dry biomass yield. The timing of emergence was a moderately strong predictor of early-season elongation growth (genetic correlation >0.5), but less so for growth later in the season and for the final yield (genetic correlation <0.1). In contrast, early-season canopy height was consistently more informative than emergence for predicting biomass yield across datasets for two species in Miscanthus and two growing seasons. We used the associations uncovered through these models to develop selection indices that are expected to increase the response to selection for yield by as much as 21% and improve the performance of genome-wide prediction by an order of magnitude. This multivariate approach could have an immediate impact in operational breeding programmes, as well as enable the integration of crop growth models and genome-wide prediction en
dc.format.extent 9 en
dc.language.iso eng
dc.relation.ispartof Journal of Experimental Botany en
dc.rights en
dc.subject breeding en
dc.subject canopy phenology en
dc.subject emergence en
dc.subject genomic selection en
dc.subject genomic prediction en
dc.subject Miscanthus en
dc.subject biomass yield en
dc.subject quantitative genetics en
dc.subject selection indices en
dc.subject bioenergy crops en
dc.subject genomics en
dc.title Genetic relationships between spring emergence, canopy phenology and biomass yield increase the accuracy of genomic prediction in Miscanthus en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.description.version publishersversion en
dc.contributor.institution Department of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en

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