Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci

<p>Abstract</p> <p>Background</p> <p>Concern over land use for non-food bioenergy crops requires breeding programmes that focus on producing biomass on the minimum amount of land that is economically-viable. To achieve this, the maximum potential yield per hectare is a...

Full description

Bibliographic Details
Main Authors: Harris Nicole, Robinson Kathryn, Street Nathaniel, Rae Anne M, Taylor Gail
Format: Article
Language:English
Published: BMC 2009-02-01
Series:BMC Plant Biology
Online Access:http://www.biomedcentral.com/1471-2229/9/23
id doaj-ce99d3ad28b843858048a53edec665a9
record_format Article
spelling doaj-ce99d3ad28b843858048a53edec665a92020-11-25T01:06:23ZengBMCBMC Plant Biology1471-22292009-02-01912310.1186/1471-2229-9-23Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass LociHarris NicoleRobinson KathrynStreet NathanielRae Anne MTaylor Gail<p>Abstract</p> <p>Background</p> <p>Concern over land use for non-food bioenergy crops requires breeding programmes that focus on producing biomass on the minimum amount of land that is economically-viable. To achieve this, the maximum potential yield per hectare is a key target for improvement. For long lived tree species, such as poplar, this requires an understanding of the traits that contribute to biomass production and their genetic control. An important aspect of this for long lived plants is an understanding of genetic interactions at different developmental stages, i.e. how genes or genetic regions impact on yield over time.</p> <p>Results</p> <p>QTL mapping identified regions of genetic control for biomass yield. We mapped consistent QTL across multiple coppice cycles and identified five robust QTL hotspots on linkage groups III, IV, X, XIV and XIX, calling these 'Poplar Biomass Loci' (PBL 1–5). In total 20% of the variation in final harvest biomass yield was explained by mapped QTL. We also investigated the genetic correlations between yield related traits to identify 'early diagnostic' indicators of yield showing that early biomass was a reasonable predictor of coppice yield and that leaf size, cell number and stem and sylleptic branch number were also valuable traits.</p> <p>Conclusion</p> <p>These findings provide insight into the genetic control of biomass production and correlation to 'early diagnostic' traits determining yield in poplar SRC for bioenergy. QTL hotspots serve as useful targets for directed breeding for improved biomass productivity that may also be relevant across additional poplar hybrids.</p> http://www.biomedcentral.com/1471-2229/9/23
collection DOAJ
language English
format Article
sources DOAJ
author Harris Nicole
Robinson Kathryn
Street Nathaniel
Rae Anne M
Taylor Gail
spellingShingle Harris Nicole
Robinson Kathryn
Street Nathaniel
Rae Anne M
Taylor Gail
Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
BMC Plant Biology
author_facet Harris Nicole
Robinson Kathryn
Street Nathaniel
Rae Anne M
Taylor Gail
author_sort Harris Nicole
title Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
title_short Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
title_full Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
title_fullStr Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
title_full_unstemmed Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci
title_sort five qtl hotspots for yield in short rotation coppice bioenergy poplar: the poplar biomass loci
publisher BMC
series BMC Plant Biology
issn 1471-2229
publishDate 2009-02-01
description <p>Abstract</p> <p>Background</p> <p>Concern over land use for non-food bioenergy crops requires breeding programmes that focus on producing biomass on the minimum amount of land that is economically-viable. To achieve this, the maximum potential yield per hectare is a key target for improvement. For long lived tree species, such as poplar, this requires an understanding of the traits that contribute to biomass production and their genetic control. An important aspect of this for long lived plants is an understanding of genetic interactions at different developmental stages, i.e. how genes or genetic regions impact on yield over time.</p> <p>Results</p> <p>QTL mapping identified regions of genetic control for biomass yield. We mapped consistent QTL across multiple coppice cycles and identified five robust QTL hotspots on linkage groups III, IV, X, XIV and XIX, calling these 'Poplar Biomass Loci' (PBL 1–5). In total 20% of the variation in final harvest biomass yield was explained by mapped QTL. We also investigated the genetic correlations between yield related traits to identify 'early diagnostic' indicators of yield showing that early biomass was a reasonable predictor of coppice yield and that leaf size, cell number and stem and sylleptic branch number were also valuable traits.</p> <p>Conclusion</p> <p>These findings provide insight into the genetic control of biomass production and correlation to 'early diagnostic' traits determining yield in poplar SRC for bioenergy. QTL hotspots serve as useful targets for directed breeding for improved biomass productivity that may also be relevant across additional poplar hybrids.</p>
url http://www.biomedcentral.com/1471-2229/9/23
work_keys_str_mv AT harrisnicole fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci
AT robinsonkathryn fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci
AT streetnathaniel fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci
AT raeannem fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci
AT taylorgail fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci
_version_ 1725190487911956480