Leandro Munoz Mariela Eugenia, Tixier Philippe, Germon Amandine, Rakotobe Veromanitra, Phillips-Mora Wilbert, Maximova Siela N., Avelino Jacques. 2017. Effects of microclimatic variables on the symptoms and signs onset of Moniliophthora roreri, causal agent of Moniliophthora pod rot in cacao. PloS One, 12 (10):e0184638, 18 p.
|
Version publiée
- Anglais
Sous licence . Effects of microclimatic variables on the symptoms and signs onset of Moniliophthora roreri causal agent of Moniliophthora pod rot in cacao.pdf Télécharger (1MB) | Prévisualisation |
Url - jeu de données - Entrepôt autre : https://figshare.com/articles/Effects_of_microclimatic_variables_on_the_symptoms_and_signs_onset_of_i_Moniliophthora_roreri_i_causal_agent_of_Moniliophthora_pod_rot_in_cacao/5464645
Quartile : Q1, Sujet : MULTIDISCIPLINARY SCIENCES
Liste HCERES des revues (en SHS) : oui
Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps
Résumé : Moniliophthora Pod Rot (MPR) caused by the fungus Moniliophthora roreri (Cif.) Evans et al., is one of the main limiting factors of cocoa production in Latin America. Currently insufficient information on the biology and epidemiology of the pathogen limits the development of efficient management options to control MPR. This research aims to elucidate MPR development through the following daily microclimatic variables: minimum and maximum temperatures, wetness frequency, average temperature and relative humidity in the highly susceptible cacao clone Pound-7 (incidence = 86% 2008–2013 average). A total of 55 cohorts totaling 2,268 pods of 3–10 cm length, one to two months of age, were tagged weekly. Pods were assessed throughout their lifetime, every one or two weeks, and classified in 3 different categories: healthy, diseased with no sporulation, diseased with sporulating lesions. As a first step, we used Generalized Linear Mixed Models (GLMM) to determine with no a priori the period (when and for how long) each climatic variable was better related with the appearance of symptoms and sporulation. Then the significance of the candidate variables was tested in a complete GLMM. Daily average wetness frequency from day 14 to day 1, before tagging, and daily average maximum temperature from day 4 to day 21, after tagging, were the most explanatory variables of the symptoms appearance. The former was positively linked with the symptoms appearance when the latter exhibited a maximum at 30°C. The most important variables influencing sporulation were daily average minimum temperature from day 35 to day 58 and daily average maximum temperature from day 37 to day 48, both after tagging. Minimum temperature was negatively linked with the sporulation while maximum temperature was positively linked. Results indicated that the fungal microclimatic requirements vary from the early to the late cycle stages, possibly due to the pathogen's long latent period. This information is valuable for development of new conceptual models for MPR and improvement of control methods.
Mots-clés Agrovoc : Theobroma cacao, fève de cacao, Moniliophthora, microclimat, facteur climatique, température, humidité, cycle de développement, modèle de simulation, dynamique des populations
Mots-clés géographiques Agrovoc : Costa Rica
Mots-clés complémentaires : Moniliophthora roreri, Cabosse
Classification Agris : H20 - Maladies des plantes
U10 - Informatique, mathématiques et statistiques
J11 - Manutention, transport, stockage et conservation des produits d'origine végétale
Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes
Auteurs et affiliations
- Leandro Munoz Mariela Eugenia, Tropical Agricultural Research and Higher Education Center (CRI)
- Tixier Philippe, CIRAD-PERSYST-UPR GECO (FRA) ORCID: 0000-0001-5147-9777
- Germon Amandine, ENSAIA (FRA)
- Rakotobe Veromanitra, CIRAD-PERSYST-UPR HortSys (MTQ)
- Phillips-Mora Wilbert, Tropical Agricultural Research and Higher Education Center (CRI)
- Maximova Siela N., Pennsylvania State University (USA)
- Avelino Jacques, CIRAD-BIOS-UPR Bioagresseurs (CRI) ORCID: 0000-0003-1983-9431
Source : Cirad-Agritrop (https://agritrop.cirad.fr/585565/)
[ Page générée et mise en cache le 2024-11-18 ]