@article{rae_five_2009,
	title = {Five {QTL} hotspots for yield in short rotation coppice bioenergy poplar: {The} {Poplar} {Biomass} {Loci}},
	volume = {9},
	copyright = {2009 Rae et al; licensee BioMed Central Ltd.},
	issn = {1471-2229},
	shorttitle = {Five {QTL} hotspots for yield in short rotation coppice bioenergy poplar},
	url = {https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-9-23},
	doi = {10/dj94rg},
	abstract = {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. 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. 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.},
	language = {en},
	number = {1},
	urldate = {2021-08-20},
	journal = {BMC Plant Biology},
	author = {Rae, Anne M. and Street, Nathaniel Robert and Robinson, Kathryn Megan and Harris, Nicole and Taylor, Gail},
	month = dec,
	year = {2009},
	note = {Number: 1
Publisher: BioMed Central},
	keywords = {Biomass Yield, Linkage Group VIIIa, Short Rotation Coppice, Stem Number, Sylleptic Branch},
	pages = {1--13},
}

{"_id":"HghRpyhspsm5nEDFg","bibbaseid":"rae-street-robinson-harris-taylor-fiveqtlhotspotsforyieldinshortrotationcoppicebioenergypoplarthepoplarbiomassloci-2009","author_short":["Rae, A. M.","Street, N. R.","Robinson, K. M.","Harris, N.","Taylor, G."],"bibdata":{"bibtype":"article","type":"article","title":"Five QTL hotspots for yield in short rotation coppice bioenergy poplar: The Poplar Biomass Loci","volume":"9","copyright":"2009 Rae et al; licensee BioMed Central Ltd.","issn":"1471-2229","shorttitle":"Five QTL hotspots for yield in short rotation coppice bioenergy poplar","url":"https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-9-23","doi":"10/dj94rg","abstract":"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. 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. 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.","language":"en","number":"1","urldate":"2021-08-20","journal":"BMC Plant Biology","author":[{"propositions":[],"lastnames":["Rae"],"firstnames":["Anne","M."],"suffixes":[]},{"propositions":[],"lastnames":["Street"],"firstnames":["Nathaniel","Robert"],"suffixes":[]},{"propositions":[],"lastnames":["Robinson"],"firstnames":["Kathryn","Megan"],"suffixes":[]},{"propositions":[],"lastnames":["Harris"],"firstnames":["Nicole"],"suffixes":[]},{"propositions":[],"lastnames":["Taylor"],"firstnames":["Gail"],"suffixes":[]}],"month":"December","year":"2009","note":"Number: 1 Publisher: BioMed Central","keywords":"Biomass Yield, Linkage Group VIIIa, Short Rotation Coppice, Stem Number, Sylleptic Branch","pages":"1–13","bibtex":"@article{rae_five_2009,\n\ttitle = {Five {QTL} hotspots for yield in short rotation coppice bioenergy poplar: {The} {Poplar} {Biomass} {Loci}},\n\tvolume = {9},\n\tcopyright = {2009 Rae et al; licensee BioMed Central Ltd.},\n\tissn = {1471-2229},\n\tshorttitle = {Five {QTL} hotspots for yield in short rotation coppice bioenergy poplar},\n\turl = {https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-9-23},\n\tdoi = {10/dj94rg},\n\tabstract = {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. 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. 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.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2021-08-20},\n\tjournal = {BMC Plant Biology},\n\tauthor = {Rae, Anne M. and Street, Nathaniel Robert and Robinson, Kathryn Megan and Harris, Nicole and Taylor, Gail},\n\tmonth = dec,\n\tyear = {2009},\n\tnote = {Number: 1\nPublisher: BioMed Central},\n\tkeywords = {Biomass Yield, Linkage Group VIIIa, Short Rotation Coppice, Stem Number, Sylleptic Branch},\n\tpages = {1--13},\n}\n\n","author_short":["Rae, A. M.","Street, N. R.","Robinson, K. 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