Literature DB >> 27593469

Intra-specific association between carbon isotope composition and productivity in woody plants: A meta-analysis.

Most Jannatul Fardusi1, Juan Pedro Ferrio2, Carles Comas3, Jordi Voltas1, Víctor Resco de Dios1, Luis Serrano1.   

Abstract

The study of intra-specific variations in growth and plant physiological response to drought is crucial to understand the potential for plant adaptation to global change. Carbon isotope composition (δ(13)C) in plant tissues offers an integrated measure of intrinsic water-use efficiency (WUEi). The intra-specific association between δ(13)C and productivity has been extensively studied in herbaceous crops, but species-specific information on woody plants is still limited and has so far provided contradictory results. In this work we explored the general patterns of the relationship between δ(13)C and growth traits (height, diameter and biomass) using a meta-analysis. We compiled information from 49 articles, including 176 studies performed on 34 species from 16 genera. We found a positive global intra-specific correlation between δ(13)C and growth (Gr=0.28, P<0.0001), stronger for biomass than for height, and non-significant for diameter. The extent of this intra-specific association increased from Mediterranean to subtropical, temperate and boreal biomes, i.e. from water-limited to energy-limited environments. Conifers and shrubs, but not broadleaves, showed consistent positive intra-specific correlations. The meta-analysis also revealed that the relationship between δ(13)C and growth is better characterized at juvenile stages, under near-optimal and controlled conditions, and by analyzing δ(13)C in leaves rather than in wood.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Biomass; Diameter; Genetic variation; Growth; Height; Water-use efficiency

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Year:  2016        PMID: 27593469     DOI: 10.1016/j.plantsci.2016.04.005

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  2 in total

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Authors:  Filippo Santini; José M Climent; Jordi Voltas
Journal:  Ann Bot       Date:  2020-01-06       Impact factor: 4.357

2.  Determinants of Shoot Biomass Production in Mulberry: Combined Selection with Leaf Morphological and Physiological Traits.

Authors:  Xu Cao; Qiudi Shen; Chunqiong Shang; Honglei Yang; Li Liu; Jialing Cheng
Journal:  Plants (Basel)       Date:  2019-05-06
  2 in total

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