Pattern analysis in branching and axillary flowering sequences
In the architectural approach to the study of plants, a major issue is to analyse branching and axillary flowering patterns. Due to the structured expression of the branching process and the noisy character of the observed patterns, we propose an analysis framework which is both structural and probabilistic. Data take the form of sequences which naturally represent the underlying structural information of branching and axillary flowering patterns and allow the application of a large number of methods ranging from exploratory analysis to stochastic modeling. The primary aim of the proposed analysis methods is to reveal patterns not directly apparent in the data, and thus to deepen our biological understanding of the underlying mechanisms that control the branching and the axillary flowering of plants over time and space. The proposed approach is illustrated using a set of examples corresponding to different plant species and different biological or agronomic objectives.
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Subjects: | U10 - Informatique, mathématiques et statistiques, F50 - Anatomie et morphologie des plantes, F62 - Physiologie végétale - Croissance et développement, Cupressus dupreziana, Malus pumila, Prunus armeniaca, Vanilla planifolia, ramification, floraison, modèle mathématique, méthode statistique, développement biologique, http://aims.fao.org/aos/agrovoc/c_34607, http://aims.fao.org/aos/agrovoc/c_4555, http://aims.fao.org/aos/agrovoc/c_6280, http://aims.fao.org/aos/agrovoc/c_8156, http://aims.fao.org/aos/agrovoc/c_1057, http://aims.fao.org/aos/agrovoc/c_2992, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_7377, http://aims.fao.org/aos/agrovoc/c_921, |
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dig-cirad-fr-4847962024-12-18T14:13:14Z http://agritrop.cirad.fr/484796/ http://agritrop.cirad.fr/484796/ Pattern analysis in branching and axillary flowering sequences. Guédon Yann, Barthélémy Daniel, Caraglio Yves, Costes Evelyne. 2001. Journal of Theoretical Biology, 212 : 481-520.https://doi.org/10.1006/jtbi.2001.2392 <https://doi.org/10.1006/jtbi.2001.2392> Pattern analysis in branching and axillary flowering sequences Guédon, Yann Barthélémy, Daniel Caraglio, Yves Costes, Evelyne eng 2001 Elsevier Journal of Theoretical Biology U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 In the architectural approach to the study of plants, a major issue is to analyse branching and axillary flowering patterns. Due to the structured expression of the branching process and the noisy character of the observed patterns, we propose an analysis framework which is both structural and probabilistic. Data take the form of sequences which naturally represent the underlying structural information of branching and axillary flowering patterns and allow the application of a large number of methods ranging from exploratory analysis to stochastic modeling. The primary aim of the proposed analysis methods is to reveal patterns not directly apparent in the data, and thus to deepen our biological understanding of the underlying mechanisms that control the branching and the axillary flowering of plants over time and space. The proposed approach is illustrated using a set of examples corresponding to different plant species and different biological or agronomic objectives. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/484796/1/484796.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1006/jtbi.2001.2392 10.1006/jtbi.2001.2392 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=168991 info:eu-repo/semantics/altIdentifier/doi/10.1006/jtbi.2001.2392 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1006/jtbi.2001.2392 |
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U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 |
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U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 Guédon, Yann Barthélémy, Daniel Caraglio, Yves Costes, Evelyne Pattern analysis in branching and axillary flowering sequences |
description |
In the architectural approach to the study of plants, a major issue is to analyse branching and axillary flowering patterns. Due to the structured expression of the branching process and the noisy character of the observed patterns, we propose an analysis framework which is both structural and probabilistic. Data take the form of sequences which naturally represent the underlying structural information of branching and axillary flowering patterns and allow the application of a large number of methods ranging from exploratory analysis to stochastic modeling. The primary aim of the proposed analysis methods is to reveal patterns not directly apparent in the data, and thus to deepen our biological understanding of the underlying mechanisms that control the branching and the axillary flowering of plants over time and space. The proposed approach is illustrated using a set of examples corresponding to different plant species and different biological or agronomic objectives. |
format |
article |
topic_facet |
U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Cupressus dupreziana Malus pumila Prunus armeniaca Vanilla planifolia ramification floraison modèle mathématique méthode statistique développement biologique http://aims.fao.org/aos/agrovoc/c_34607 http://aims.fao.org/aos/agrovoc/c_4555 http://aims.fao.org/aos/agrovoc/c_6280 http://aims.fao.org/aos/agrovoc/c_8156 http://aims.fao.org/aos/agrovoc/c_1057 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_921 |
author |
Guédon, Yann Barthélémy, Daniel Caraglio, Yves Costes, Evelyne |
author_facet |
Guédon, Yann Barthélémy, Daniel Caraglio, Yves Costes, Evelyne |
author_sort |
Guédon, Yann |
title |
Pattern analysis in branching and axillary flowering sequences |
title_short |
Pattern analysis in branching and axillary flowering sequences |
title_full |
Pattern analysis in branching and axillary flowering sequences |
title_fullStr |
Pattern analysis in branching and axillary flowering sequences |
title_full_unstemmed |
Pattern analysis in branching and axillary flowering sequences |
title_sort |
pattern analysis in branching and axillary flowering sequences |
publisher |
Elsevier |
url |
http://agritrop.cirad.fr/484796/ http://agritrop.cirad.fr/484796/1/484796.pdf |
work_keys_str_mv |
AT guedonyann patternanalysisinbranchingandaxillaryfloweringsequences AT barthelemydaniel patternanalysisinbranchingandaxillaryfloweringsequences AT caraglioyves patternanalysisinbranchingandaxillaryfloweringsequences AT costesevelyne patternanalysisinbranchingandaxillaryfloweringsequences |
_version_ |
1819041250071805952 |