Allometric models for estimating Moringa oleifera leaflets area

Abstract

<jats:p>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.</jats:p>

Image processing and prediction of leaf area in cereals: A comparison of artificial neural networks, an adaptive neuro‐fuzzy inference system, and regression methods

“…The conventional method of estimating geometric leaf properties, especially the leaf area, uses allometric relationships. These equations have been successfully applied to various plants, such as Gossypium herbaceum L., Fritillaria przewalskii Maxim., Erythroxylum pauferrense T. Plowman, Moringa oleifera Lam., and tree species (Barbosa, Santos, & Albuquerque, 2020;Forrester et al, 2017;Johnson, 1967;Ma, Xu, Chen, Guo, & Wu, 2020;Macário et al, 2020). In this research, we used digital image processing to measure the geometric properties of leaves in wheat and triticale.…”

Allometric models to estimate peanuts leaflets area by non-destructive method

“…The present study showed that the best equations to estimate the LA of peanut cultivars were those that used LW, compared to equations that used only one leaflet dimension (L or W), with the best criteria and adjustments of the models used (Guimarães et al 2019, Macário et al 2020, Goergen et al 2021, except for the exponential model, in which the best equations were those that used L of the leaflets (Ribeiro et al 2020).…”

Seed Priming with Glass Waste Microparticles and Red Light Irradiation Mitigates Thermal and Water Stresses in Seedlings of Moringa oleifera

“…In this scenario, Moringa oleifera Lamarck, a species of the family Moringaceae and native to India and Pakistan [ 3 ], could be one such alternative for cultivation given its various food, medicinal, industrial, environmental, and social purposes, and as an abundant source of essential amino acids, macronutrients, and micronutrients. This species also shows outstanding anti-fungal, analgesic, anti-inflammatory, anti-oxidant, anti-diabetic, anti-tumoral, and anti-bacterial properties, with high seed oil contents [ 4 , 5 , 6 , 7 , 8 ]. Furthermore, the species can also be used to purify water, generate income, and improve the quality of life of producers around the world [ 4 , 5 , 6 , 7 , 8 ].…”

“…This species also shows outstanding anti-fungal, analgesic, anti-inflammatory, anti-oxidant, anti-diabetic, anti-tumoral, and anti-bacterial properties, with high seed oil contents [ 4 , 5 , 6 , 7 , 8 ]. Furthermore, the species can also be used to purify water, generate income, and improve the quality of life of producers around the world [ 4 , 5 , 6 , 7 , 8 ].…”