PoplarV1, Main, Exploration, bibRecord, 003626

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

Identifieur interne : 003626 ( Main/Exploration ); précédent : 003625; suivant : 003627

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

Auteurs : Anne M. Rae [Royaume-Uni] ; Nathaniel Robert Street ; Kathryn Megan Robinson ; Nicole Harris ; Gail Taylor

Source :

BMC plant biology [ 1471-2229 ] ; 2009.

RBID : pubmed:19245718

Descripteurs français

English descriptors

KwdEn :
- Biomass (MeSH), Breeding (MeSH), Chromosome Mapping (MeSH), Chromosomes, Plant (genetics), Crosses, Genetic (MeSH), DNA, Plant (genetics), Genes, Plant (MeSH), Genetic Variation (MeSH), Genome, Plant (MeSH), Phenotype (MeSH), Populus (genetics), Quantitative Trait Loci (MeSH), Quantitative Trait, Heritable (MeSH).
MESH :
- chemical , genetics : DNA, Plant.
- genetics : Chromosomes, Plant, Populus.
- Biomass, Breeding, Chromosome Mapping, Crosses, Genetic, Genes, Plant, Genetic Variation, Genome, Plant, Phenotype, Quantitative Trait Loci, Quantitative Trait, Heritable.

Abstract

BACKGROUND

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.

RESULTS

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.

CONCLUSION

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.

DOI: 10.1186/1471-2229-9-23
PubMed: 19245718
PubMed Central: PMC2657785

Affiliations:

Royaume-Uni

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 003631
to stream Main, to step Curation: 003631

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Five QTL hotspots for yield in short rotation coppice bioenergy poplar: the Poplar Biomass Loci.</title>
<author><name sortKey="Rae, Anne M" sort="Rae, Anne M" uniqKey="Rae A" first="Anne M" last="Rae">Anne M. Rae</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton, UK. amr502@york.ac.uk</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton</wicri:regionArea>
<wicri:noRegion>Southampton</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Street, Nathaniel Robert" sort="Street, Nathaniel Robert" uniqKey="Street N" first="Nathaniel Robert" last="Street">Nathaniel Robert Street</name>
</author>
<author><name sortKey="Robinson, Kathryn Megan" sort="Robinson, Kathryn Megan" uniqKey="Robinson K" first="Kathryn Megan" last="Robinson">Kathryn Megan Robinson</name>
</author>
<author><name sortKey="Harris, Nicole" sort="Harris, Nicole" uniqKey="Harris N" first="Nicole" last="Harris">Nicole Harris</name>
</author>
<author><name sortKey="Taylor, Gail" sort="Taylor, Gail" uniqKey="Taylor G" first="Gail" last="Taylor">Gail Taylor</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2009">2009</date>
<idno type="RBID">pubmed:19245718</idno>
<idno type="pmid">19245718</idno>
<idno type="doi">10.1186/1471-2229-9-23</idno>
<idno type="pmc">PMC2657785</idno>
<idno type="wicri:Area/Main/Corpus">003631</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">003631</idno>
<idno type="wicri:Area/Main/Curation">003631</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">003631</idno>
<idno type="wicri:Area/Main/Exploration">003631</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Five QTL hotspots for yield in short rotation coppice bioenergy poplar: the Poplar Biomass Loci.</title>
<author><name sortKey="Rae, Anne M" sort="Rae, Anne M" uniqKey="Rae A" first="Anne M" last="Rae">Anne M. Rae</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton, UK. amr502@york.ac.uk</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton</wicri:regionArea>
<wicri:noRegion>Southampton</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Street, Nathaniel Robert" sort="Street, Nathaniel Robert" uniqKey="Street N" first="Nathaniel Robert" last="Street">Nathaniel Robert Street</name>
</author>
<author><name sortKey="Robinson, Kathryn Megan" sort="Robinson, Kathryn Megan" uniqKey="Robinson K" first="Kathryn Megan" last="Robinson">Kathryn Megan Robinson</name>
</author>
<author><name sortKey="Harris, Nicole" sort="Harris, Nicole" uniqKey="Harris N" first="Nicole" last="Harris">Nicole Harris</name>
</author>
<author><name sortKey="Taylor, Gail" sort="Taylor, Gail" uniqKey="Taylor G" first="Gail" last="Taylor">Gail Taylor</name>
</author>
</analytic>
<series><title level="j">BMC plant biology</title>
<idno type="eISSN">1471-2229</idno>
<imprint><date when="2009" type="published">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomass (MeSH)</term>
<term>Breeding (MeSH)</term>
<term>Chromosome Mapping (MeSH)</term>
<term>Chromosomes, Plant (genetics)</term>
<term>Crosses, Genetic (MeSH)</term>
<term>DNA, Plant (genetics)</term>
<term>Genes, Plant (MeSH)</term>
<term>Genetic Variation (MeSH)</term>
<term>Genome, Plant (MeSH)</term>
<term>Phenotype (MeSH)</term>
<term>Populus (genetics)</term>
<term>Quantitative Trait Loci (MeSH)</term>
<term>Quantitative Trait, Heritable (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>ADN des plantes (génétique)</term>
<term>Biomasse (MeSH)</term>
<term>Caractère quantitatif héréditaire (MeSH)</term>
<term>Cartographie chromosomique (MeSH)</term>
<term>Chromosomes de plante (génétique)</term>
<term>Croisements génétiques (MeSH)</term>
<term>Gènes de plante (MeSH)</term>
<term>Génome végétal (MeSH)</term>
<term>Locus de caractère quantitatif (MeSH)</term>
<term>Phénotype (MeSH)</term>
<term>Populus (génétique)</term>
<term>Sélection (MeSH)</term>
<term>Variation génétique (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>DNA, Plant</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Chromosomes, Plant</term>
<term>Populus</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>ADN des plantes</term>
<term>Chromosomes de plante</term>
<term>Populus</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Biomass</term>
<term>Breeding</term>
<term>Chromosome Mapping</term>
<term>Crosses, Genetic</term>
<term>Genes, Plant</term>
<term>Genetic Variation</term>
<term>Genome, Plant</term>
<term>Phenotype</term>
<term>Quantitative Trait Loci</term>
<term>Quantitative Trait, Heritable</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Biomasse</term>
<term>Caractère quantitatif héréditaire</term>
<term>Cartographie chromosomique</term>
<term>Croisements génétiques</term>
<term>Gènes de plante</term>
<term>Génome végétal</term>
<term>Locus de caractère quantitatif</term>
<term>Phénotype</term>
<term>Sélection</term>
<term>Variation génétique</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</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>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</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>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</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>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">19245718</PMID>
<DateCompleted><Year>2009</Year>
<Month>03</Month>
<Day>27</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2229</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>9</Volume>
<PubDate><Year>2009</Year>
<Month>Feb</Month>
<Day>26</Day>
</PubDate>
</JournalIssue>
<Title>BMC plant biology</Title>
<ISOAbbreviation>BMC Plant Biol</ISOAbbreviation>
</Journal>
<ArticleTitle>Five QTL hotspots for yield in short rotation coppice bioenergy poplar: the Poplar Biomass Loci.</ArticleTitle>
<Pagination><MedlinePgn>23</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2229-9-23</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">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.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">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.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">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.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rae</LastName>
<ForeName>Anne M</ForeName>
<Initials>AM</Initials>
<AffiliationInfo><Affiliation>School of Biological Sciences, University of Southampton, Bassett Crescent East, Southampton, UK. amr502@york.ac.uk</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Street</LastName>
<ForeName>Nathaniel Robert</ForeName>
<Initials>NR</Initials>
</Author>
<Author ValidYN="Y"><LastName>Robinson</LastName>
<ForeName>Kathryn Megan</ForeName>
<Initials>KM</Initials>
</Author>
<Author ValidYN="Y"><LastName>Harris</LastName>
<ForeName>Nicole</ForeName>
<Initials>N</Initials>
</Author>
<Author ValidYN="Y"><LastName>Taylor</LastName>
<ForeName>Gail</ForeName>
<Initials>G</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><Agency>Biotechnology and Biological Sciences Research Council</Agency>
<Country>United Kingdom</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2009</Year>
<Month>02</Month>
<Day>26</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>BMC Plant Biol</MedlineTA>
<NlmUniqueID>100967807</NlmUniqueID>
<ISSNLinking>1471-2229</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D018744">DNA, Plant</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="Y">Biomass</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001947" MajorTopicYN="N">Breeding</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002874" MajorTopicYN="Y">Chromosome Mapping</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D032461" MajorTopicYN="N">Chromosomes, Plant</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003433" MajorTopicYN="N">Crosses, Genetic</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018744" MajorTopicYN="N">DNA, Plant</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018745" MajorTopicYN="N">Genome, Plant</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010641" MajorTopicYN="N">Phenotype</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D040641" MajorTopicYN="Y">Quantitative Trait Loci</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019655" MajorTopicYN="N">Quantitative Trait, Heritable</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2008</Year>
<Month>06</Month>
<Day>25</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2009</Year>
<Month>02</Month>
<Day>26</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2009</Year>
<Month>2</Month>
<Day>28</Day>
<Hour>9</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2009</Year>
<Month>2</Month>
<Day>28</Day>
<Hour>9</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2009</Year>
<Month>3</Month>
<Day>28</Day>
<Hour>9</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">19245718</ArticleId>
<ArticleId IdType="pii">1471-2229-9-23</ArticleId>
<ArticleId IdType="doi">10.1186/1471-2229-9-23</ArticleId>
<ArticleId IdType="pmc">PMC2657785</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Genetics. 2003 Dec;165(4):2259-68</Citation>
<ArticleIdList><ArticleId IdType="pubmed">14704201</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Appl Genet. 1994 Oct;89(2-3):167-78</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24177824</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 2000 Feb;154(2):837-45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10655234</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Appl Genet. 1994 Dec;89(7-8):1046-54</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24178123</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2003 Nov;13(11):2498-504</Citation>
<ArticleIdList><ArticleId IdType="pubmed">14597658</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2006;7:308</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16780591</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Appl Genet. 1996 Oct;93(5-6):849-58</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24162417</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Bot. 1997 Feb;84(2):143</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21712194</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 2001 Apr;157(4):1789-803</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11290731</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Biol. 2004;5(10):R80</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15461798</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 1995 Feb;139(2):963-73</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7713445</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 2008 Apr;178(4):2217-26</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18245834</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2002 Feb;18(2):339-40</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11847090</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Appl Genet. 1993 Apr;86(2-3):301-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24193473</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2006 Sep 15;313(5793):1596-604</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16973872</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 1995 Jul;140(3):1137-47</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7672584</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Appl Genet. 1998 Mar;96(3-4):447-57</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24710884</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 1994 Nov;138(3):963-71</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7851788</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genetics. 2000 Apr;154(3):1839-1849</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10866652</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome. 2002 Feb;45(1):28-33</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11908665</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>New Phytol. 2008;178(2):358-70</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18331429</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Biometrics. 1996 Jun;52(2):426-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10766500</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant J. 2006 Nov;48(3):321-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17005011</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Royaume-Uni</li>
</country>
</list>
<tree><noCountry><name sortKey="Harris, Nicole" sort="Harris, Nicole" uniqKey="Harris N" first="Nicole" last="Harris">Nicole Harris</name>
<name sortKey="Robinson, Kathryn Megan" sort="Robinson, Kathryn Megan" uniqKey="Robinson K" first="Kathryn Megan" last="Robinson">Kathryn Megan Robinson</name>
<name sortKey="Street, Nathaniel Robert" sort="Street, Nathaniel Robert" uniqKey="Street N" first="Nathaniel Robert" last="Street">Nathaniel Robert Street</name>
<name sortKey="Taylor, Gail" sort="Taylor, Gail" uniqKey="Taylor G" first="Gail" last="Taylor">Gail Taylor</name>
</noCountry>
<country name="Royaume-Uni"><noRegion><name sortKey="Rae, Anne M" sort="Rae, Anne M" uniqKey="Rae A" first="Anne M" last="Rae">Anne M. Rae</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PoplarV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003626 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 003626 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Bois
   |area=    PoplarV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:19245718
   |texte=   Five QTL hotspots for yield in short rotation coppice bioenergy poplar: the Poplar Biomass Loci.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:19245718" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a PoplarV1

This area was generated with Dilib version V0.6.37.
Data generation: Wed Nov 18 12:07:19 2020. Site generation: Wed Nov 18 12:16:31 2020

	Serveur d'exploration sur le peuplier
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur le peuplier

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

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

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki