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Article

Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model

1
Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000 Zagreb, Croatia
2
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell’Università 16, 35020 Legnaro, Italy
3
Institute for Sustainable Plant Protection, National Research Council of Italy, 35020 Legnaro, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Anestis Karkanis
Agronomy 2021, 11(10), 2072; https://doi.org/10.3390/agronomy11102072
Received: 15 September 2021 / Revised: 11 October 2021 / Accepted: 13 October 2021 / Published: 15 October 2021
Echinochloa crus-galli (L.) P. Beauv. is the most common monocotyledonous weed in maize crops in Croatia. Crop–weed interference is influenced by weed emergence patterns, and knowledge of the timing of weed emergence is crucial for the development of an efficient integrated weed-management program. Therefore, two-year field experiments were conducted in a maize crop sown in early May in continental Croatia to determine the emergence pattern of E. crus-galli from natural seedbank. In laboratory studies, the estimated base temperature and base water potential for the Croatian ecotype of E. crus-galli were 10.8 °C and −0.97 MPa, respectively. Then, the estimated germination parameters were compared with the values embedded in the AlertInf model from Italy (Veneto) to calibrate this hydrothermal model. The estimated hydrothermal units were around 28 for the onset (10%) and 93 for the middle (50%) emergence of E. crus-galli. Our findings showed that the AlertInf model satisfactorily simulated the emergence of E. crus-galli in maize crop in Croatia (EF = 0.97 in 2019 and 0.98 in 2020), indicating its potential use in other geographical areas View Full-Text
Keywords: AlertInf; base temperature; base water potential; barnyardgrass; integrated weed management; validation AlertInf; base temperature; base water potential; barnyardgrass; integrated weed management; validation
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MDPI and ACS Style

Šoštarčić, V.; Masin, R.; Loddo, D.; Svečnjak, Z.; Rubinić, V.; Šćepanović, M. Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model. Agronomy 2021, 11, 2072. https://doi.org/10.3390/agronomy11102072

AMA Style

Šoštarčić V, Masin R, Loddo D, Svečnjak Z, Rubinić V, Šćepanović M. Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model. Agronomy. 2021; 11(10):2072. https://doi.org/10.3390/agronomy11102072

Chicago/Turabian Style

Šoštarčić, Valentina, Roberta Masin, Donato Loddo, Zlatko Svečnjak, Vedran Rubinić, and Maja Šćepanović. 2021. "Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model" Agronomy 11, no. 10: 2072. https://doi.org/10.3390/agronomy11102072

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