University of Zagreb, Faculty of Agriculture

Public defence of the dissertation topic :: Valentina Šoštarčić, mag. ing. agr.


Predicting weed emergence in maize with Italian hydrothermal model AlertInf
29th October 2020 :: 11:00 AM, on-line (via Zoom) at link

Proposed / potential mentors:

  • Associate Professor Maja Šćepanović, University of Zagreb Faculty of Agriculture, Croatia
  • Associate Professor Roberta Masin, University of Padova, Department of Agronomy, Food, Natural Resources, Animals and Environment, Italy

Committee appointed for the dissertation topic evaluation:

  • Professor Zlatko Svečnjak, PhD, University of Zagreb Faculty of Agriculture, Croatia
  • Donato Loddo, PhD, Institute for Sustainable Plant Protection, National Research Council of Italy, Italy
  • Associate Professor Dragana Božić, PhD, University of Belgrade Faculty of Agriculture, Serbia

Weed emergence models may predict the peak emergence periods of weeds, which may help farmers to develop an efficient management programs for weed control in grown crops. Soil temperature and soil moisture are the two main factors affecting the weed emergence patterns under field conditions, and consequently, the hydro-thermal models have been used to predict weed germination and emergence. For weed species included in the hydro-thermal models, the estimation of biological parameters for germination (base temperature and base water potential) is required, which has not been investigated in Croatia. As part of the doctoral research, the emergence pattern of economically important weeds in maize crop in Croatia (Amaranthus retroflexus, Chenopodium album, Echinochloa crus-galli, Abutilon theophrasti and Setaria glauca) will be evaluated using hydro-thermal model AlertInf from northern Italy. In addition, the model is to be upgraded for weed species that are currently not included in AlertInf model, but are important weed species in maize in Croatia (Ambrosia artemisiifolia and Panicum capillare).