title: Within-Crop Air Temperature and Humidity Outcomes on Spatio-Temporal Distribution of the Key Rose Pest Frankliniella occidentalis.
abstract: Frankliniella occidentalis (Pergande) is a key pest of various crops worldwide. In this study, we analyse the dependence of the infestation of this pest on spatially distributed micro climatic factors in a rose greenhouse. Despite the importance of this subject, the few existing studies have been realized in laboratory rather than in greenhouse conditions. However, recent progress on greenhouse microclimate characterisation has highlighted the strong indoor climate heterogeneity that may influence the within-crop pest distribution. In this study, both microclimate (air temperature and humidity) and thrips distribution were simultaneously mapped in a rose greenhouse. The measurements were sensed in a horizontal plane situated at mid-height of the rose crop inside the greenhouse. Simultaneously, thrips population dynamics were assessed after an artificial and homogeneous infestation of the rose crop. The spatio-temporal distribution of climate and thrips within the greenhouse were compared, and links between thrips infestation and climatic conditions were investigated. A statistical model was used to define the favourable climate conditions for thrips adults and larvae. Our results showed that (i) the air temperature and air humidity were very heterogeneously distributed within the crop, (ii) pest populations aggregated in the most favourable climatic areas and (iii) the highest population density of thrips adults and larvae were recorded at 27°C and 22°C for temperature and 63% and 86% for humidity, respectively. These findings confirm, in real rose cropping conditions, previous laboratory studies on the F. occidentalis climatic optimum and provide a solid scientific support for climatic-based control methods against this pest.
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France.
authors.forename: Hicham
authors.initials: H
authors.lastname: Fatnassi
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France.
authors.forename: Jeannine
authors.initials: J
authors.lastname: Pizzol
authors.affiliation: INRA, UR 0546, Biostatistique et Processus Spatiaux, F-84914, Montfavet, France.
authors.forename: Rachid
authors.initials: R
authors.lastname: Senoussi
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France; University of Catania, Di3A, Via Santa Sofia 100, 95123, Catania, Italy.
authors.forename: Antonio
authors.initials: A
authors.lastname: Biondi
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Desneux
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France.
authors.forename: Christine
authors.initials: C
authors.lastname: Poncet
authors.affiliation: INRA, UMR1355, ISA, 400 Route des chappes, 06903, Sophia Antipolis, France.
authors.forename: Thierry
authors.initials: T
authors.lastname: Boulard
mesh_terms: D000388:Air; D000818:Animals; D002980:Climate; D018556:Crops, Agricultural / Q000469:parasitology*; D006813:Humidity; D007814:Larva / Q000502:physiology; D008954:Models, Biological; D011156:Population Density; D027826:Rosa / Q000469:parasitology*; D013696:Temperature; D061149:Thysanoptera / Q000502:physiology*; D013997:Time Factors