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      Allometric Relations in Leaves of Erythroxylum pauferrense: Endemic Species of Alto-Montana Forest in the Northeast Region, Brazil

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          Abstract

          Abstract Studies of leaf surface are important for the ecophysiological context. We tested 12 allometric equations to estimate the leaf area of the endemic species Erythroxylum pauferrense Plowman, using different morphometric measurements (n = 600). The analysis of variance (p < 0.001), determination coefficient (R2adj), standard error of estimates (Sxy), and graphical interpretation of the dispersion of errors were used to select the models. The residual bias was estimated through the confidence interval using t-Student distribution (p = 0.01). Simple linear equations (Ŷ = 0.0244 + 0.7204 × CxL) and power functions (Ŷ = 0.7279 × CxL0.9971) were validated from an independent sample of leaves, confirming their accuracy. The results are important to guide actions of conservation of the endemic species.

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          The evolution of the worldwide leaf economics spectrum.

          Christina M. Caruso, Hafiz Maherali, Hans Kroon … (2011)
          The worldwide leaf economic spectrum (WLES) is a strikingly consistent pattern of correlations among leaf traits. Although the WLES effectively summarizes variation in plant ecological strategies, little is known about its evolution. We reviewed estimates of natural selection and genetic variation for leaf traits to test whether the evolution of the WLES was limited by selection against unfit trait combinations or by genetic constraints. There was significant selection for leaf traits on both ends of the WLES spectrum, as well as significant genetic variation for these traits. In addition, genetic correlations between WLES traits were variable in strength and direction. These data suggest that genetic constraints have had a smaller role than selection in the evolution of the WLES. Copyright © 2010 Elsevier Ltd. All rights reserved.
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            Allometric models for non-destructive leaf area estimation in coffee (Coffea arabicaandCoffea canephora)

            W.C. Antunes, M.F. Pompelli, D.M. Carretero … (2008)
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              Estimação da área foliar do algodoeiro por meio de dimensões e massa das folhas

              José Eduardo B. A. Monteiro, Paulo Sentelhas, Ederaldo J. Chiavegato … (2005)
              O objetivo deste trabalho foi avaliar dois métodos de estimação da área foliar do algodoeiro, por meio de suas dimensões e massa seca das folhas. Foram utilizadas as cultivares IAC 23 e Coodetec 401. No método que utilizou dimensões, as folhas do algodoeiro foram agrupadas em novas, cordiformes e maduras. Para cada tipo de folha, de cada cultivar, foi determinado um fator de forma (FF) por meio de análise de regressão entre o produto do comprimento (C) pela largura (L) e a área das folhas. Avaliou-se a correlação entre a área foliar estimada pelo fator FF e sua medida direta, utilizando-se dados independentes. Testou-se, ainda, um fator único para cada cultivar, independente do estádio da cultura e, também, um fator geral para as duas cultivares. No método que utilizou a massa seca, as folhas foram agrupadas em novas e maduras. Determinou-se o fator de massa seca (FM) por meio da análise de regressão entre a massa seca de folhas e respectivas áreas foliares. Em seguida, avaliou-se a correlação entre dados estimados por FM e dados medidos de forma direta, em nova amostra. O método das dimensões é viável para a estimação de área foliar do algodoeiro, por apresentar boa precisão e exatidão, com r² entre 0,71 e 0,98 e com coeficiente angular da regressão entre 0,87 e 0,95. No entanto, pelo método da massa seca, observaram-se precisão e exatidão maiores, com r² entre 0,94 e 0,98, e coeficiente angular da regressão entre 0,97 e 1,00, com a vantagem de ser menos trabalhoso.
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                Author and article information

                Contributors
                Ana Jéssica Soares Barbosa: Role: ND
                José Nailson Barros Santos: Role: ND
                Manoel Bandeira de Albuquerque: Role: ND
                Journal
                Journal ID (publisher-id): floram
                Title: Floresta e Ambiente
                Abbreviated Title: Floresta Ambient.
                Publisher: Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro (Seropédica, RJ, Brazil )
                ISSN (Print): 1415-0980
                ISSN (Electronic): 2179-8087
                Publication date (Print and electronic): 2020
                Volume: 27
                Issue: 1
                Electronic Location Identifier: e20171130
                Affiliations
                [1] Areia Paraíba orgnameUniversidade Federal da Paraíba Brazil
                [2] Recife Pernambuco orgnameUniversidade Federal Rural de Pernambuco Brazil
                Article
                Publisher ID: S2179-80872020000100113 Publisher ID: S2179-8087(20)02700100113
                DOI: 10.1590/2179-8087.113017
                SO-VID: 4cd34d80-65f1-4039-a35b-88e5693648f9
                License:

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                Date received : 08 November 2017
                Date accepted : 10 June 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 45, Pages: 0
                Product

                SciELO Brazil

                Categories
                Subject: Original Article

                Keywords: Erythroxylaceae,leaf area,allometry
                Data availability:
                Keywords: Erythroxylaceae, leaf area, allometry

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