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      Allometric models for estimating Moringa oleifera leaflets area Translated title: Modelos alométricos para estimativa de área de foliólulos de Moringa oleifera

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          Abstract

          ABSTRACT Moringa oleifera is a species of great economic, social and environmental importance, being employed for multiple purposes. Thus, the objective of this study was to fit regression models for estimating leaflets area as non-destructive method from linear measurements of leaflets of M. oleifera seedlings. The study was carried out at the Center for Agrarian and Environmental Sciences of the Paraíba State University. Three hundred leaflets of M. oleifera were collected and measured to determine length “L” and width “W” and, subsequently, leaflets area was quantified through ImageJ® software. Using 200 leaflets, the univariate regression models were fitted, adopting length, width or the product of these dimensions “LW” and a bivariate model based on length and width as predictor variables of the observed leaflets area as dependent variable. The remaining 100 leaflets were used to evaluate the relationship between the observed leaflet area “OLA” and the estimated leaflets area “ELA”, based on Pearson’s correlation “r”; Willmott’s index of agreement “d” and index of confidence “c”; and root mean square error “RMSE”. It was found that allometric models can be used with high accuracy and performance to estimate the leaflets area of M. oleifera as non-destructive method, and recommended model is ELA = 0.035 + 0.720*LW. Future research is suggested for fittings of multivariate models to estimate the leaf area of M. oleifera from varying leaflet sizes, complete leaves, leaf fresh and dry weights, history of life and age of plants.

          Translated abstract

          RESUMO A Moringa oleifera é uma espécie de grande importância econômica, social e ambiental, sendo empregada para múltiplos usos. Assim, objetivou-se ajustar modelos de regressão para estimativa de área de folíolos por método não-destrutivo a partir de medidas lineares de folíolos de mudas de M. oleifera. A pesquisa foi realizada no Centro de Ciências Agrárias e Ambientais da Universidade Estadual da Paraíba. Foram coletados 300 folíolos de M. oleifera, nos quais foram realizadas medidas para determinação do comprimento “L” e da largura “W” e, posteriormente, a área de folíolos foi quantificada por meio do software ImageJ®. Utilizando-se de 200 folíolos, os modelos de regressão univariados foram ajustados adotando-se comprimento, largura ou o produto destas dimensões “LW” e um modelo bivariado por meio do comprimento e largura como variáveis preditoras da área de folíolos observada como variável dependente. Com os 100 folíolos remanescentes, foi realizada a avaliação da relação entre a área de folíolos observada “OLA” e a estimada “ELA”, correlação de Pearson “r”; índice de concordância de Willmott “d” e de confiança “c”; e erro médio quadrático “RMSE”. Verificou-se que modelos alométricos podem ser usados com elevada precisão e performance para estimativa de área de folíolos de M. oleifera por método não-destrutivo, sendo recomendado o modelo ELA = 0,035 + 0,720*LW. Pesquisas futuras são sugeridas para ajustes de modelos multivariados para estimativa de área foliar de M. oleifera a partir de tamanhos de folíolos variados, folhas completas, massa fresca e seca das folhas, histórico de vida e idade das plantas.

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          Moringa oleifera as a food fortificant: Recent trends and prospects

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            System dynamics modeling for assessment of water–food–energy resources security and nexus in Gavkhuni basin in Iran

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              Three cycles of water deficit from seed to young plants of Moringa oleifera woody species improves stress tolerance.

              The main objective of this study was to assess whether recurring water stress occurring from seed germination to young plants of Moringa oleifera Lam. are able to mitigate the drought stress effects. Germination, gas exchange and biochemical parameters were analysed after three cycles of water deficit. Young plants were used 50 days after germination under three osmotic potentials (0.0, -0.3 and -0.4 MPa). For each germination treatment, control (irrigated) and stressed (10% of water control) plants were compared for a total of six treatments. There were two cycles of drought interspersed with 10 days of rehydration. The young plants of M. oleifera showed increased tolerance to repeated cycles of drought, maintaining high relative water content (RWC), high water use efficiency (WUE), increased photosynthetic pigments and increased activity of antioxidant enzymes. There was rapid recovery of the photosynthetic rate during the rehydration period. The stressed plants from the -0.3 and -0.4 MPa treatments showed higher tolerance compared to the control plants. The results suggest that seeds of M. oleifera subjected to mild water deficit have had increased the ability for drought tolerance when young plant. Copyright © 2012 Elsevier Masson SAS. All rights reserved.
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                Author and article information

                Journal
                cagro
                Ciência e Agrotecnologia
                Ciênc. agrotec.
                Editora da Universidade Federal de Lavras (Lavras, MG, Brazil )
                1413-7054
                1981-1829
                2020
                : 44
                : e005220
                Affiliations
                [2] Campina Grande Paraíba orgnameUniversidade Federal de Campina Grande Brazil
                [3] Campina Grande Paraíba orgnameUniversidade Estadual da Paraíba Brazil
                [1] Lagoa Seca Paraíba orgnameUniversidade Estadual da Paraíba orgdiv1Departamento de Agroecologia e Agropecuária/DAA Brazil
                Article
                S1413-70542020000100212 S1413-7054(20)04400000212
                10.1590/1413-7054202044005220
                e214124e-ae04-44b7-9433-e42c2abfd8e3

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

                History
                : 11 March 2020
                : 08 March 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Brazil

                Categories
                Agricultural Sciences

                model validation,validação de modelos.,Medidas lineares,Linear measurements,modelagem empírica,empirical modeling

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