Forecasting model for aphids on vegetable crops

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1 Forecasting model for aphids on vegetable crops

2 DAMAGES Direct damage Lynph suction Diffusione di virosi

3 Virus transmission non persistent Tasting suction Rapid diffusion Insecticide efficacy is low CMV, PVY persistent Time is necessary for the aphid to acquire the virus and transmit it Insecticides are effective PLRV

4 NON PERSISTENT VIRUS TRANSMISSION Correlation between the % of infection and the overall number of aphids infesting the crop Occurence and consistency of the aphids are influenced by the climatic conditions in autumn and winter Aphid efficiency in virus transmission is optimal during the first phenological stages of the crop The prediction of aphid consistency in spring is useful to define the pest control strategy

5 FORECASTING MODEL BUILT-UP by Institute of industrial crops (ISCI) It estimates the most important spring flight consistency in the territory Prediction can done beginning from february

6 CONTROL STRATEGY IN RISKY YEARS Use of virus-free plant material Switch the crop cycle compare to the aphid one Weed control Spray focusing towards the aphids

7 Forecasting model build-up Spring aphid catches from 1992 to 1999 on potato in two locations (Budrio and Ozzano) Identification of the species Ranking of the species on the bases of their life cycle (olocycle, anolocycle, anolocycle or olocycle) Weather data of the specific areas Linear and multiple regression between the catches and several climatic factors

8 forecasting model build-up olocycle group (overwinters as egg) is related with minimum temperature and precipitation in october anolocycle (overwinters as adult) is related to minimum temperature and precipitation in december and january anolocycle-olocycle is related to the number of frosty days and wind velocity in november and minimum temperature and precipitation in december and january

9 Comparison between estimated aphids and those observed in the field - ISCI trials ( ) estimated total aphids observed total aphids

10 CORRELATION BETWEEN INFECTION AND APHID FLIGHT CONSISTENCY Trials carryed out from 1992 to 1998 have showed a good correlation between the percentage of PVY infection and the number of aphids caught in spring

11 Comparison between number of estimated aphids by the model and those observed in the field aphids/basin > RISK estimated aphids observed aphids

12 Model evaluation in different areas of the region and on different crops ( ) APHID FIELD MONITORING POTATO AND TOMATO PLOTS Parma, Bologna and Ferrara Moericke basin-trap (2 / plot) surveys twice a week from the beginning of april to the end of may

13 Basin-trap for aphid catches

14 Aphids caught with Moericke basin-trap on N total aphids/basin-trap 0 Bologna Parma Myzus persicae Aphis gossypii Aphis fabae Acyrthosiphon spp. Sitobion spp. Myzocallis spp. Periphyllus spp. Rhopalosiphum spp. Chaitophorus spp. Brachycaudus spp. Cavariella Macrosiphum Hyperomyzus Aulacorthum solani Phorodon humuli

15 Aphis gossypii Phorodon humuli Myzus persicae

16 Model evaluation in different areas of the region and on different crops over 2001 and 2003 Prediction calculation Weather data of met-station close to the monitored plots Species-related model application Estimated overall number of aphids in each location

17 Comparison between the estimated N of aphids and those observed in the field over the years no monit. BO PR FE FE PR estimated aphids observed aphids

18 Prediction of aphid flight consistency estimated number of aphids afidi/basin-trap > RISK S. P. Capofiume Imola Rolo CAMSE

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