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A predictive model based on a pluviothermic index for leathery pocket and fruitlet core rot of pineapple cv. 'Queen'

Fournier Patrick, Benneveau Aurore, Hardy Christelle, Chillet Marc, Lechaudel Mathieu. 2015. A predictive model based on a pluviothermic index for leathery pocket and fruitlet core rot of pineapple cv. 'Queen'. European Journal of Plant Pathology, 142 (3) : pp. 449-460.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q2, Sujet : HORTICULTURE / Quartile : Q2, Sujet : AGRONOMY / Quartile : Q2, Sujet : PLANT SCIENCES

Abstract : Leathery pocket (LP) and fruitlet core rot (FCR) of pineapple (Ananas comosus L.) caused by Penicillium funiculosum Thom. and/or Fusarium moniliforme Sheld cause significant damage in all production areas, resulting in a major economic impact that affects both the fresh fruit market and the processing sector. The detection of Penicillium and Fusarium in the two main areas of pineapple production in Reunion Island, and representing a large range of climatic conditions, indicated that these fungi responsible for FCR and LP diseases were present throughout the pineapple cycle, whatever the climatic conditions. The proportion of fruits naturally infected by these pathogens was not related to climatic conditions during the infection period, suggesting that the inoculum level was not limiting. As these diseases cannot be reliably controlled, due in particular to the role of climatic conditions, an important research goal is to predict periods of higher disease risk using a model based on weather data. Taking advantage of the great diversity of environments on the tropical island of Reunion (Indian Ocean), we were able to establish a link between a pluviothermic index (PTi: ratio between total rainfall and the average temperature over the fruit development stages), and LP or FCR incidence. Disease incidence wasmodelled as a function of the pluviothermic index via a Weibull model. The most accurate model was obtained during the open heart to harvest stage. Lastly, the model output can be used by pineapple production stakeholders in farm management. (Résumé d'auteur)

Mots-clés Agrovoc : Ananas comosus, Modèle de simulation, Ananas (fruits), Gibberella fujikuroi, Penicillium funiculosum, Température, Pluviométrie, Conditions météorologiques, Gestion du risque

Mots-clés géographiques Agrovoc : Réunion

Classification Agris : H20 - Plant diseases
J11 - Handling, transport, storage and protection of plant products

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Fournier Patrick
  • Benneveau Aurore
  • Hardy Christelle
  • Chillet Marc, CIRAD-PERSYST-UMR Qualisud (REU)
  • Lechaudel Mathieu, CIRAD-PERSYST-UPR HortSys (REU) ORCID: 0000-0002-1108-8357

Source : Cirad-Agritrop (https://agritrop.cirad.fr/576055/)

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