A systemic approach to the quantification of the phenotypic plasticity of plant physiological traits : the multivariate plasticity index

© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com.

Bibliographische Detailangaben
Veröffentlicht in:Journal of experimental botany. - 1985. - 72(2021), 5 vom: 27. Feb., Seite 1864-1878
1. Verfasser: Pennacchi, João Paulo (VerfasserIn)
Weitere Verfasser: Lira, Jean Marcel Sousa, Rodrigues, Marcelo, Garcia, Fernando Henrique Silva, Mendonça, Ane Marcela das Chagas, Barbosa, João Paulo Rodrigues Alves Delfino
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Journal of experimental botany
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Data analysis emergent characteristics genotype–environment interaction multivariate statistics phenotypic plasticity plant ecophysiology
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520 |a © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com. 
520 |a The phenotype of an individual emerges from the interaction of its genotype with the environment in which it is located. Phenotypic plasticity (PP) is the ability of a specific genotype to present multiple phenotypes in response to the environment. Past and current methods for quantification of PP present limitations, mainly in what constitutes a systemic analysis of multiple traits. This research proposes an integrative index for quantifying and evaluating PP. The multivariate plasticity index (MVPi) was calculated based on the Euclidian distance between scores of a canonical variate analysis. It was evaluated for leaf physiological traits in two cases using Brazilian Cerrado species and sugarcane varieties, grown under diverse environmental conditions. The MVPi was sensitive to plant behaviour from simple to complex genotype-environment interactions and was able to inform coarse and fine changes in PP. It was correlated to biomass allocation, showing agreement between plant organizational levels. The new method proved to be elucidative of plant metabolic changes, mainly by explaining PP as an integrated process and emergent property. We recommend the MVPi method as a tool for analysis of phenotypic plasticity in the context of a systemic evaluation of plant phenotypic traits 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Data analysis 
650 4 |a emergent characteristics 
650 4 |a genotype–environment interaction 
650 4 |a multivariate statistics 
650 4 |a phenotypic plasticity 
650 4 |a plant ecophysiology 
700 1 |a Lira, Jean Marcel Sousa  |e verfasserin  |4 aut 
700 1 |a Rodrigues, Marcelo  |e verfasserin  |4 aut 
700 1 |a Garcia, Fernando Henrique Silva  |e verfasserin  |4 aut 
700 1 |a Mendonça, Ane Marcela das Chagas  |e verfasserin  |4 aut 
700 1 |a Barbosa, João Paulo Rodrigues Alves Delfino  |e verfasserin  |4 aut 
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