In vivo assessment of the active foliar area of banana plants (Musa spp.) using the OTO model

Dépigny, Sylvain; Achard, Raphaël; Lescot, Thierry; Djomessi, M.T.; Tchotang, Frédéric; Ngando, D.E.; Poix, Christophe

doi:10.1016/j.scienta.2014.10.044

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…The length and width of each emitted leaf were measured, and the data were used to calculate leaf area (Murray 1960). Green leaf area of each plant was estimated monthly by the OTO (for ‘leaves One, Three, One’) model (Dépigny et al 2015). At flowering and harvest, one plantain of each replicate (five plants per variety) was uprooted, dried and weighed by organ (bulb, pseudostem, leaves, bunch and sucker).…”

Section: Methodsmentioning

confidence: 99%

Model-based benchmarking of the production potential of plantains (Musa spp., AAB): application to five real plantain and four plantain-like hybrid varieties in Cameroon

et al. 2016

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A great many plantain varieties are cropped in West and Central Africa, and there is a lack of information about their production potential and suitability for cropping system environments. To obtain benchmark data for the production potential of plantain varieties, experimental and modelling approaches were combined to determine intrinsic growth parameters and to increase understanding of factors affecting yield. Five real plantains commonly cropped in Cameroon and representative of plantain group diversity (Batard, Big Ebanga, Essong, French clair and Mbouroukou n°3) and four plantain-like hybrids (CRBP39, D248, D535 and FHIA21) were studied. A process-based growth model (the AAB model) was developed that accounts for specific characteristics of the plantain crop that includes parameters affecting growth, development and yield. Varietal-specific parameters were determined in a field experiment conducted under nearly non-limiting production conditions while general parameters were drawn from the literature. Parameters describing the conversion of intercepted radiation into dry matter were evaluated by model fitting. Photosynthetic efficiency was significantly higher for real plantains than for plantain-like hybrids. The model realistically simulated development, growth and bunch production for five varieties. These results are the first step in developing a useful tool for assessing the suitability of plantain varieties to different environments. The current study highlights the need for greater knowledge of plantain physiology in order to better model plantain growth and develop variety-specific production approaches. (Résumé d'auteur

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Section: Methodsmentioning

confidence: 99%

Model-based benchmarking of the production potential of plantains (Musa spp., AAB): application to five real plantain and four plantain-like hybrid varieties in Cameroon

et al. 2016

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“…Another current analysis aims to describe variations of agronomic traits during crop cycle among these varieties. The dataset sharpness, as the sizes of 15,000 leaves, also permitted to deeply explore plantain leaf area dynamic and develop the OTO model [5]: it is a useful tool for estimating banana leaf area with the only sizes of three leaves whatever variety, development stage and cropping conditions. In addition, according to plantain dataset scarcity, we think the ‘Plantain-Optim’ dataset could be a useful reference for others studies to compare growth and development of the studied varieties according to environment and cropping conditions.…”

Section: Datamentioning

confidence: 99%

“…Leaf areas were calculated from measured data with the Murray formula (Murray, 1960) and the OTO model (Dépigny, 2015) . Data format Raw data Experimental factors Experimental field was a fallow during more than one year.…”

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The ‘Plantain-Optim’ dataset: Agronomic traits of 405 plantains every 15 days from planting to harvest

et al. 2018

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The ‘Plantain-Optim’ dataset (came from the ‘Plantain-Optim’ experiment conducted from 2009 to 2011 at CARBAP experimental station in Cameroon. The main objective was to describe agronomic potential of nine plantain varieties, including five natural plantains commonly cropped in Cameroon, and four plantain-like hybrids. A completely randomized bloc permitted to compare growth, development and yield of 45 plants per variety split between five replicates. Cropping practices guarantied non-limiting and homogenous conditions. Each plant was measured every 15 days. Data described aerial organ sizes, foliar structure and bunch characteristics of the mother plant. The ‘Plantain-Optim’ dataset includes the complete individual growth of each studied plantain of the ‘Plantain-Optim’ experiment with a 15-day accuracy. It is a useful standard of plantain varietal diversity for comparison with others datasets. Varietal growth and development homogeneity, biomass production or foliar and bunch structures could be further investigated. Moreover, these accurate data on plantain growth could be valuable for plantain 3D modelling.

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Discriminant analysis for estimating meristematic differentiation point based on morphometric indicators in banana (Musa AAA)

Acosta

Salinas²,

Darghan³

2022

Agron. Colomb.

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In the banana crop, leaf area is a fundamental trait for production; however, monitoring this variable during a cycle is difficult due to the structural characteristics of the plant, and a method for its determination is necessary. Therefore, the objective of this research was to propose a model for estimating total leaf area by measuring the cross-sectional area of the pseudostem to identify when meristematic differentiation occurs. In plants between F10 and flowering, functional leaves were measured for length, width, and dry mass. Cross-sectional area was calculated every 10 cm from the base to 70 cm, at ⅓, ½ of the plant height and up to the last pair of leaves. From the principal components, the cross-sectional measurement at 50 cm was selected, obtaining a nonlinear model for indirect estimation of leaf area. Subsequently, Fisher’s linear discriminant analysis was used with the parameters associated with the number of leaves emitted and the estimated leaf area to obtain the cutoff point as the centroid of the extracted components. As an indicator for the approximate identification of the moment of meristem differentiation, the emission of leaf 12 was generated, which determines the phenological stage (vegetative-reproductive) of the plant. The results describe tools to follow up the growth in the productive units to facilitate crop monitoring, allowing the generation of differential production approaches.

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In vivo assessment of the active foliar area of banana plants (Musa spp.) using the OTO model

Cited by 3 publications

References 19 publications

Model-based benchmarking of the production potential of plantains (Musa spp., AAB): application to five real plantain and four plantain-like hybrid varieties in Cameroon

Model-based benchmarking of the production potential of plantains (Musa spp., AAB): application to five real plantain and four plantain-like hybrid varieties in Cameroon

The ‘Plantain-Optim’ dataset: Agronomic traits of 405 plantains every 15 days from planting to harvest

Discriminant analysis for estimating meristematic differentiation point based on morphometric indicators in banana (Musa AAA)

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