Régis Babin

Dr. Régis Babin

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2008 in BMC Genomics
Verified
Journal Article
Open access
PDF file
XAXavier Argout
Xavier Argout
OFOlivier Fouet
Olivier Fouet
PWPatrick Wincker
Patrick Wincker
KGKarina Peres Gramacho
Karina Peres Gramacho
TLThierry Legavre
Thierry Legavre
CLClaire Lanaud
Claire Lanaud
Theobroma cacao L., is a tree originated from the tropical rainforest of South America. It is one of the major cash crops for many tropical countries. T. cacao is mainly produced on smallholdings, providing resources for 14 million farmers. Disease resistance and T. cacao quality improvement are two important challenges for all actors of cocoa and chocolate production. T. cacao is seriously affected by pests and fungal diseases, responsible for more than 40% yield losses and quality improvement, nutritional and organoleptic, is also important for consumers. An international collaboration was formed to develop an EST genomic resource database for cacao.

11 January 2010 in Agricultural and Forest Entomology
Verified
Journal Article
Closed access
PDF file
RBRégis Babin
Régis Babin
GHGerben M. Ten Hoopen
Gerben M. Ten Hoopen
Christian CilasChristian Cilas
Christian Cilas
FEFrank Enjalric
Frank Enjalric
YEYede
Yede
JLJean‐Pierre Lumaret
Jean‐Pierre Lumaret

22 June 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
Abdelmutalab G. A. AzragAbdelmutalab G. A. Azrag
Abdelmutalab G. A. Azrag
CPChristian W. W. Pirk
Christian W. W. Pirk
AYAbdullahi Ahmed Yusuf
Abdullahi Ahmed Yusuf
FPFabrice Pinard
Fabrice Pinard
SNSaliou Niassy
Saliou Niassy
RBRégis Babin
Régis Babin
The antestia bug, Antestiopsis thunbergii (Gmelin 1790) is a major pest of Arabica coffee in Africa. The bug prefers coffee at the highest elevations, contrary to other major pests. The objectives of this study were to describe the relationship between A. thunbergii populations and elevation, to elucidate this relationship using our knowledge of the pest thermal biology and to predict the pest distribution under climate warming. Antestiopsis thunbergii population density was assessed in 24 coffee farms located along a transect delimited across an elevation gradient in the range 1000–1700 m asl, on Mt. Kilimanjaro, Tanzania. Density was assessed for three different climatic seasons, the cool dry season in June 2014 and 2015, the short rainy season in October 2014 and the warm dry season in January 2015. The pest distribution was predicted over the same transect using three risk indices: the establishment risk index (ERI), the generation index (GI) and the activity index (AI). These indices were computed using simulated life table parameters obtained from temperature-dependent development models and temperature data from 1) field records using data loggers deployed over the transect and 2) predictions for year 2055 extracted from AFRICLIM database. The observed population density was the highest during the cool dry season and increased significantly with increasing elevation. For current temperature, the ERI increased with an increase in elevation and was therefore distributed similarly to observed populations, contrary to the other indices. This result suggests that immature stage susceptibility to extreme temperatures was a key factor of population distribution as impacted by elevation. In the future, distribution of the risk indices globally indicated a decrease of the risk at low elevation and an increase of the risk at the highest elevations. Based on these results, we concluded with recommendations to mitigate the risk of A. thunbergii infestation.

14 October 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
CGCynthia Gidoin
Cynthia Gidoin
RBRégis Babin
Régis Babin
LBLeïla Bagny Beilhe
Leïla Bagny Beilhe
Christian CilasChristian Cilas
Christian Cilas
GHGerben Martijn Ten Hoopen
Gerben Martijn Ten Hoopen
MBMarie Ange Ngo Bieng
Marie Ange Ngo Bieng
Combining crop plants with other plant species in agro-ecosystems is one way to enhance ecological pest and disease regulation mechanisms. Resource availability and microclimatic variation mechanisms affect processes related to pest and pathogen life cycles. These mechanisms are supported both by empirical research and by epidemiological models, yet their relative importance in a real complex agro-ecosystem is still not known. Our aim was thus to assess the independent effects and the relative importance of different variables related to resource availability and microclimatic variation that explain pest and disease occurrence at the plot scale in real complex agro-ecosystems. The study was conducted in cacao (Theobroma cacao) agroforests in Cameroon, where cocoa production is mainly impacted by the mirid bug, Sahlbergella singularis, and black pod disease, caused by Phytophthora megakarya. Vegetation composition and spatial structure, resource availability and pest and disease occurrence were characterized in 20 real agroforest plots. Hierarchical partitioning was used to identify the causal variables that explain mirid density and black pod prevalence. The results of this study show that cacao agroforests can be differentiated on the basis of vegetation composition and spatial structure. This original approach revealed that mirid density decreased when a minimum number of randomly distributed forest trees were present compared with the aggregated distribution of forest trees, or when forest tree density was low. Moreover, a decrease in mirid density was also related to decreased availability of sensitive tissue, independently of the effect of forest tree structure. Contrary to expectations, black pod prevalence decreased with increasing cacao tree abundance. By revealing the effects of vegetation composition and spatial structure on mirids and black pod, this study opens new perspectives for the joint agro-ecological management of cacao pests and diseases at the plot scale, through the optimization of the spatial structure and composition of the vegetation.

25 March 2015 in International Journal of Biological and Chemical Sciences
Verified
Journal Article
Open access
PDF file
RMRj Mahob
Rj Mahob
MNM Ndoumbe-Nkeng
M Ndoumbe-Nkeng
GHGm Ten Hoopen
Gm Ten Hoopen
LDL Dibog
L Dibog
SNS Nyasse
S Nyasse
CBCf Bilong Bilong
Cf Bilong Bilong
Pesticides use in cocoa sector in Cameroon: characterization of supply source, nature of actives ingredients, fashion and reasons for their utilization

10 February 2011 in Pest Management Science
Verified
Journal Article
Closed access
PDF file
RMRaymond J Mahob
Raymond J Mahob
RBRégis Babin
Régis Babin
GHGerben M Ten Hoopen
Gerben M Ten Hoopen
LDLuc Dibog
Luc Dibog
YEYede
Yede
CBCharles F Bilong Bilong
Charles F Bilong Bilong