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Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model

Identifieur interne : 002506 ( Pmc/Curation ); précédent : 002505; suivant : 002507

Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model

Auteurs : Matthieu Bogard [France] ; Catherine Ravel [France] ; Etienne Paux [France] ; Jacques Bordes [France] ; François Balfourier [France] ; Scott C. Chapman [Australie] ; Jacques Le Gouis [France] ; Vincent Allard [France]

Source :

RBID : PMC:4203124

Abstract

Highlight text

QTL-based parameters of an ecophysiological model, calibrated on an association genetics panel of 210 genotypes, allowed prediction of heading dates of 80 independent genotypes in six independent experiments with a median prediction error of 5.6 days.


Url:
DOI: 10.1093/jxb/eru328
PubMed: 25148833
PubMed Central: 4203124

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PMC:4203124

Le document en format XML

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<title>Highlight text</title>
<p>QTL-based parameters of an ecophysiological model, calibrated on an association genetics panel of 210 genotypes, allowed prediction of heading dates of 80 independent genotypes in six independent experiments with a median prediction error of 5.6 days.</p>
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</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zheng, B" uniqKey="Zheng B">B Zheng</name>
</author>
<author>
<name sortKey="Chenu, K" uniqKey="Chenu K">K Chenu</name>
</author>
<author>
<name sortKey="Fernanda Dreccer, M" uniqKey="Fernanda Dreccer M">M Fernanda Dreccer</name>
</author>
<author>
<name sortKey="Chapman, Sc" uniqKey="Chapman S">SC Chapman</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Exp Bot</journal-id>
<journal-id journal-id-type="iso-abbrev">J. Exp. Bot</journal-id>
<journal-id journal-id-type="hwp">jexbot</journal-id>
<journal-id journal-id-type="publisher-id">exbotj</journal-id>
<journal-title-group>
<journal-title>Journal of Experimental Botany</journal-title>
</journal-title-group>
<issn pub-type="ppub">0022-0957</issn>
<issn pub-type="epub">1460-2431</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
<publisher-loc>UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25148833</article-id>
<article-id pub-id-type="pmc">4203124</article-id>
<article-id pub-id-type="doi">10.1093/jxb/eru328</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictions of heading date in bread wheat (
<italic>Triticum aestivum</italic>
L.) using QTL-based parameters of an ecophysiological model</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Bogard</surname>
<given-names>Matthieu</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ravel</surname>
<given-names>Catherine</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Paux</surname>
<given-names>Etienne</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bordes</surname>
<given-names>Jacques</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Balfourier</surname>
<given-names>François</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chapman</surname>
<given-names>Scott C.</given-names>
</name>
<xref ref-type="aff" rid="AF0003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Le Gouis</surname>
<given-names>Jacques</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Allard</surname>
<given-names>Vincent</given-names>
</name>
<xref ref-type="aff" rid="AF0001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="AF0002">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c1">*</xref>
</contrib>
<aff id="AF0001">
<sup>1</sup>
<institution>INRA, UMR 1095 Génétique, Diversité et Ecophysiologie des Céréales</institution>
,
<addr-line>5 chemin de Beaulieu, F-63039 Clermont-Ferrand</addr-line>
,
<country>France</country>
</aff>
<aff id="AF0002">
<sup>2</sup>
<institution>Université Blaise Pascal, UMR 1095 Génétique, Diversité et Ecophysiologie des Céréales</institution>
,
<addr-line>F-63177 Aubière Cedex</addr-line>
,
<country>France</country>
</aff>
<aff id="AF0003">
<sup>3</sup>
<institution>CSIRO, Queensland Bioscience Precinct - St Lucia</institution>
,
<addr-line>306 Carmody Road, St Lucia QLD 4067</addr-line>
,
<country>Australia</country>
</aff>
</contrib-group>
<author-notes>
<corresp id="c1">* To whom correspondence should be addressed. E-mail:
<email>vincent.allard@clermont.inra.fr</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>11</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>22</day>
<month>8</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>22</day>
<month>8</month>
<year>2014</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on the . </pmc-comment>
<volume>65</volume>
<issue>20</issue>
<fpage>5849</fpage>
<lpage>5865</lpage>
<permissions>
<copyright-statement>© The Author 2014. Published by Oxford University Press on behalf of the Society for Experimental Biology.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="creative-commons" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link>
), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract abstract-type="precis">
<title>Highlight text</title>
<p>QTL-based parameters of an ecophysiological model, calibrated on an association genetics panel of 210 genotypes, allowed prediction of heading dates of 80 independent genotypes in six independent experiments with a median prediction error of 5.6 days.</p>
</abstract>
<abstract>
<p>Prediction of wheat phenology facilitates the selection of cultivars with specific adaptations to a particular environment. However, while QTL analysis for heading date can identify major genes controlling phenology, the results are limited to the environments and genotypes tested. Moreover, while ecophysiological models allow accurate predictions in new environments, they may require substantial phenotypic data to parameterize each genotype. Also, the model parameters are rarely related to all underlying genes, and all the possible allelic combinations that could be obtained by breeding cannot be tested with models. In this study, a QTL-based model is proposed to predict heading date in bread wheat (
<italic>Triticum aestivum</italic>
L.). Two parameters of an ecophysiological model (
<italic>V</italic>
<sub>
<italic>sat</italic>
</sub>
and
<italic>P</italic>
<sub>
<italic>base</italic>
</sub>
, representing genotype vernalization requirements and photoperiod sensitivity, respectively) were optimized for 210 genotypes grown in 10 contrasting location × sowing date combinations. Multiple linear regression models predicting
<italic>V</italic>
<sub>
<italic>sat</italic>
</sub>
and
<italic>P</italic>
<sub>
<italic>base</italic>
</sub>
with 11 and 12 associated genetic markers accounted for 71 and 68% of the variance of these parameters, respectively. QTL-based
<italic>V</italic>
<sub>
<italic>sat</italic>
</sub>
and
<italic>P</italic>
<sub>
<italic>base</italic>
</sub>
estimates were able to predict heading date of an independent validation data set (88 genotypes in six location × sowing date combinations) with a root mean square error of prediction of 5 to 8.6 days, explaining 48 to 63% of the variation for heading date. The QTL-based model proposed in this study may be used for agronomic purposes and to assist breeders in suggesting locally adapted ideotypes for wheat phenology.</p>
</abstract>
<kwd-group>
<title>Key words:</title>
<kwd>Association genetics</kwd>
<kwd>ecophysiological model</kwd>
<kwd>gene-based modelling</kwd>
<kwd>heading date</kwd>
<kwd>phenology</kwd>
<kwd>wheat.</kwd>
</kwd-group>
<counts>
<page-count count="17"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>

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