Multiannual infestation patterns of grapevine plant canopy inhabiting Scaphoideus titanus Ball leafhoppers
Articolo
Data di Pubblicazione:
2013
Citazione:
Multiannual infestation patterns of grapevine plant canopy inhabiting Scaphoideus titanus Ball leafhoppers / I.E. Rigamonti, V. Trivellone, M. Jermini, J. Baumgärtner. - In: IOBC/WPRS BULLETIN. - ISSN 1027-3115. - 85:(2013), pp. 43-48.
Abstract:
This paper summarizes the procedures for designing, parametrizing and validating a model
representing five years infestation patterns of Scaphoideus titanus populations in grapevine plant
canopies, on the basis of temperature influences. The development of S. titanus comprises nymphs,
adults, diapausing eggs and post diapausing eggs. The basic elements of the model are temperaturedependent
i) stochastic development of the four “life stages”, ii) developmental and senescence rates,
and stage-specific survivorships, and iii) reproduction. The phenology model is based on a timevarying
delay with attrition and operates on a time step length of 1 hour. It is initialized by
proportional entries of hatching eggs resulting from a Weibull frequency distribution. Temperature
effects on the survivorship of non-diapausing life stages are modelled via attrition and on fecundity
rates via input into the diapausing egg stage. Diapausing eggs, however, do not suffer from adverse
temperature conditions. If the temperature is between 0°C and the lower developmental threshold all
life stages except the diapausing eggs suffer from an additional temperature dependent mortality. The
model is validated with observations made during five years in a Southern Switzerland (located at
Contone) vineyard. The model predictions are in agreement with the observations. The successfully
validated model will be inserted into an Adaptive Management system aiming at rationalizing pest
management and learning how the pest population system works
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
multiannual infestation ; phenology model ; time-varying distributed delay ; adaptive
management ; temperature
Elenco autori:
I.E. Rigamonti, V. Trivellone, M. Jermini, J. Baumgärtner
Link alla scheda completa: