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Pregled bibliografske jedinice broj: 1154407

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


Šoštarčić, Valentina; Masin, Roberta; Loddo, Donato; Svečnjak, Zlatko; Rubinić, Vedran; Šćepanović, Maja
Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model // Agronomy, 11 (2021), 10; 1-13 doi:https://.org/10.3390/agronomy11102072 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1154407 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Šoštarčić, Valentina ; Masin, Roberta ; Loddo, Donato ; Svečnjak, Zlatko ; Rubinić, Vedran ; Šćepanović, Maja

Izvornik
Agronomy (2073-4395) 11 (2021), 10; 1-13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
AlertInf ; base temperature ; base water potential ; barnyardgrass ; integrated weed management ; validation

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Poljoprivreda (agronomija)



POVEZANOST RADA


Ustanove:
Agronomski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com www.mdpi.com

Citiraj ovu publikaciju:

Šoštarčić, Valentina; Masin, Roberta; Loddo, Donato; Svečnjak, Zlatko; Rubinić, Vedran; Šćepanović, Maja
Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model // Agronomy, 11 (2021), 10; 1-13 doi:https://.org/10.3390/agronomy11102072 (međunarodna recenzija, članak, znanstveni)
Šoštarčić, V., Masin, R., Loddo, D., Svečnjak, Z., Rubinić, V. & Šćepanović, M. (2021) Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model. Agronomy, 11 (10), 1-13 doi:https://.org/10.3390/agronomy11102072.
@article{article, author = {\v{S}o\v{s}tar\v{c}i\'{c}, Valentina and Masin, Roberta and Loddo, Donato and Sve\v{c}njak, Zlatko and Rubini\'{c}, Vedran and \v{S}\'{c}epanovi\'{c}, Maja}, year = {2021}, pages = {1-13}, DOI = {https://doi.org/10.3390/agronomy11102072}, keywords = {AlertInf, base temperature, base water potential, barnyardgrass, integrated weed management, validation}, journal = {Agronomy}, doi = {https://doi.org/10.3390/agronomy11102072}, volume = {11}, number = {10}, issn = {2073-4395}, title = {Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model}, keyword = {AlertInf, base temperature, base water potential, barnyardgrass, integrated weed management, validation} }
@article{article, author = {\v{S}o\v{s}tar\v{c}i\'{c}, Valentina and Masin, Roberta and Loddo, Donato and Sve\v{c}njak, Zlatko and Rubini\'{c}, Vedran and \v{S}\'{c}epanovi\'{c}, Maja}, year = {2021}, pages = {1-13}, DOI = {https://doi.org/10.3390/agronomy11102072}, keywords = {AlertInf, base temperature, base water potential, barnyardgrass, integrated weed management, validation}, journal = {Agronomy}, doi = {https://doi.org/10.3390/agronomy11102072}, volume = {11}, number = {10}, issn = {2073-4395}, title = {Predicting the Emergence of Echinochloa crus-galli (L.) P. Beauv. in Maize Crop in Croatia with Hydrothermal Model}, keyword = {AlertInf, base temperature, base water potential, barnyardgrass, integrated weed management, validation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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