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A statistical model to predict titratable acidity of pineapple during fruit developing period responding to climatic variables

Dorey Elodie, Fournier Patrick, Lechaudel Mathieu, Tixier Philippe. 2016. A statistical model to predict titratable acidity of pineapple during fruit developing period responding to climatic variables. Scientia Horticulturae, 210 : pp. 19-24.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : HORTICULTURE

Abstract : Acidity greatly affects the nutritional properties and organoleptic properties of fruits. Pineapple acidity is strongly affected by climatic factors during fruit growth but there is a lack of knowledge about their period of influence. A statistical model was developed to: (i) identify the periods (referred to as “integration periods”) during the flowering–harvest interval during which climatic variables (rainfall, global radiation and temperature) affect titratable acid content (TA) of pineapple fruit at harvest; and (ii) to predict TA at harvest on Reunion Island. The model was developed in two steps. In Step 1, those integration periods that were best correlated with TA were identified for each climatic variable. In Step 2, a complete linearized mixed-effect model (GLM) was built to predict TA based on all candidate variables. Temperature greatly affected TA in early growth periods, whereas total radiation had a considerable effect in late growth periods. Rainfall greatly affected TA in both early and late growth periods. In the complete GLM, the climatic variables and the interaction between temperature and rainfall were significantly correlated with TA at harvest and explained 60% of the variance. Comparison of model predictions and observations from 14 pineapple fields indicated that the model accurately predicted TA (RRMSE = 0.08). This model should help farmers to select the planting date and flowering induction date in order to optimize TA in pineapple fruit on Reunion Island. (Résumé d'auteur)

Mots-clés Agrovoc : Ananas comosus, Ananas (fruits), Acidité, Acidimétrie, Température, Facteur climatique, Qualité, Stade de développement, Précipitation, Radiation, Développement biologique, Croissance, Modèle mathématique, Modèle de simulation, système d'aide à la décision

Mots-clés géographiques Agrovoc : Réunion

Mots-clés libres : Ananas comosus (L.) Merr, Statistical model, Fruit quality, Temperature, Total radiation, Rainfall

Classification Agris : F60 - Plant physiology and biochemistry
U10 - Mathematical and statistical methods
F62 - Plant physiology - Growth and development
P40 - Meteorology and climatology
Q04 - Food composition

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

Source : Cirad-Agritrop (https://agritrop.cirad.fr/581098/)

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