Design of experiments on 135 cloned poplar trees to map environmental influence in greenhouse.
Identifieur interne : 002F34 ( Main/Exploration ); précédent : 002F33; suivant : 002F35Design of experiments on 135 cloned poplar trees to map environmental influence in greenhouse.
Auteurs : Rui Climaco Pinto [Suède] ; Hans Stenlund ; Magnus Hertzberg ; Torbjörn Lundstedt ; Erik Johansson ; Johan TryggSource :
- Analytica chimica acta [ 1873-4324 ] ; 2011.
Descripteurs français
- KwdFr :
- Analyse multifactorielle (MeSH), Arbres (anatomie et histologie), Arbres (croissance et développement), Arbres (génétique), Clonage d'organisme (MeSH), Contrôle de qualité (MeSH), Environnement (MeSH), Plan de recherche (normes), Populus (anatomie et histologie), Populus (croissance et développement), Populus (génétique), Rotation (MeSH), Systèmes écologiques fermés (MeSH).
- MESH :
- anatomie et histologie : Arbres, Populus.
- croissance et développement : Arbres, Populus.
- génétique : Arbres, Populus.
- normes : Plan de recherche.
- Analyse multifactorielle, Clonage d'organisme, Contrôle de qualité, Environnement, Rotation, Systèmes écologiques fermés.
English descriptors
- KwdEn :
- Cloning, Organism (MeSH), Ecological Systems, Closed (MeSH), Environment (MeSH), Multivariate Analysis (MeSH), Populus (anatomy & histology), Populus (genetics), Populus (growth & development), Quality Control (MeSH), Research Design (standards), Rotation (MeSH), Trees (anatomy & histology), Trees (genetics), Trees (growth & development).
- MESH :
- anatomy & histology : Populus, Trees.
- genetics : Populus, Trees.
- growth & development : Populus, Trees.
- standards : Research Design.
- Cloning, Organism, Ecological Systems, Closed, Environment, Multivariate Analysis, Quality Control, Rotation.
Abstract
To find and ascertain phenotypic differences, minimal variation between biological replicates is always desired. Variation between the replicates can originate from genetic transformation but also from environmental effects in the greenhouse. Design of experiments (DoE) has been used in field trials for many years and proven its value but is underused within functional genomics including greenhouse experiments. We propose a strategy to estimate the effect of environmental factors with the ultimate goal of minimizing variation between biological replicates, based on DoE. DoE can be analyzed in many ways. We present a graphical solution together with solutions based on classical statistics as well as the newly developed OPLS methodology. In this study, we used DoE to evaluate the influence of plant specific factors (plant size, shoot type, plant quality, and amount of fertilizer) and rotation of plant positions on height and section area of 135 cloned wild type poplar trees grown in the greenhouse. Statistical analysis revealed that plant position was the main contributor to variability among biological replicates and applying a plant rotation scheme could reduce this variation.
DOI: 10.1016/j.aca.2010.11.024
PubMed: 21168560
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Multivariate Analysis (MeSH)</term>
<term>Populus (anatomy & histology)</term>
<term>Populus (genetics)</term>
<term>Populus (growth & development)</term>
<term>Quality Control (MeSH)</term>
<term>Research Design (standards)</term>
<term>Rotation (MeSH)</term>
<term>Trees (anatomy & histology)</term>
<term>Trees (genetics)</term>
<term>Trees (growth & development)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse multifactorielle (MeSH)</term>
<term>Arbres (anatomie et histologie)</term>
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<term>Arbres (génétique)</term>
<term>Clonage d'organisme (MeSH)</term>
<term>Contrôle de qualité (MeSH)</term>
<term>Environnement (MeSH)</term>
<term>Plan de recherche (normes)</term>
<term>Populus (anatomie et histologie)</term>
<term>Populus (croissance et développement)</term>
<term>Populus (génétique)</term>
<term>Rotation (MeSH)</term>
<term>Systèmes écologiques fermés (MeSH)</term>
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<term>Populus</term>
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<term>Multivariate Analysis</term>
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<term>Rotation</term>
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<term>Clonage d'organisme</term>
<term>Contrôle de qualité</term>
<term>Environnement</term>
<term>Rotation</term>
<term>Systèmes écologiques fermés</term>
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<front><div type="abstract" xml:lang="en">To find and ascertain phenotypic differences, minimal variation between biological replicates is always desired. Variation between the replicates can originate from genetic transformation but also from environmental effects in the greenhouse. Design of experiments (DoE) has been used in field trials for many years and proven its value but is underused within functional genomics including greenhouse experiments. We propose a strategy to estimate the effect of environmental factors with the ultimate goal of minimizing variation between biological replicates, based on DoE. DoE can be analyzed in many ways. We present a graphical solution together with solutions based on classical statistics as well as the newly developed OPLS methodology. In this study, we used DoE to evaluate the influence of plant specific factors (plant size, shoot type, plant quality, and amount of fertilizer) and rotation of plant positions on height and section area of 135 cloned wild type poplar trees grown in the greenhouse. Statistical analysis revealed that plant position was the main contributor to variability among biological replicates and applying a plant rotation scheme could reduce this variation.</div>
</front>
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<Month>06</Month>
<Day>22</Day>
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<DateRevised><Year>2010</Year>
<Month>12</Month>
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<ArticleTitle>Design of experiments on 135 cloned poplar trees to map environmental influence in greenhouse.</ArticleTitle>
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<Abstract><AbstractText>To find and ascertain phenotypic differences, minimal variation between biological replicates is always desired. Variation between the replicates can originate from genetic transformation but also from environmental effects in the greenhouse. Design of experiments (DoE) has been used in field trials for many years and proven its value but is underused within functional genomics including greenhouse experiments. We propose a strategy to estimate the effect of environmental factors with the ultimate goal of minimizing variation between biological replicates, based on DoE. DoE can be analyzed in many ways. We present a graphical solution together with solutions based on classical statistics as well as the newly developed OPLS methodology. In this study, we used DoE to evaluate the influence of plant specific factors (plant size, shoot type, plant quality, and amount of fertilizer) and rotation of plant positions on height and section area of 135 cloned wild type poplar trees grown in the greenhouse. Statistical analysis revealed that plant position was the main contributor to variability among biological replicates and applying a plant rotation scheme could reduce this variation.</AbstractText>
<CopyrightInformation>Copyright © 2010 Elsevier B.V. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pinto</LastName>
<ForeName>Rui Climaco</ForeName>
<Initials>RC</Initials>
<AffiliationInfo><Affiliation>Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, Linnaeus väg, SE-90187 Umeå, Sweden.</Affiliation>
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<name sortKey="Lundstedt, Torbjorn" sort="Lundstedt, Torbjorn" uniqKey="Lundstedt T" first="Torbjörn" last="Lundstedt">Torbjörn Lundstedt</name>
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<country name="Suède"><noRegion><name sortKey="Pinto, Rui Climaco" sort="Pinto, Rui Climaco" uniqKey="Pinto R" first="Rui Climaco" last="Pinto">Rui Climaco Pinto</name>
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