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Predicting the emergence of echinochloa crus-galli (L.) p. beauv. in maize crop in croatia with hydrothermal model

Authors :
Donato Loddo
Zlatko Svečnjak
Vedran Rubinić
Valentina Šoštarčić
Maja Šćepanović
Roberta Masin
Source :
Agronomy (Basel) 11 (2021). doi:10.3390/agronomy11102072, info:cnr-pdr/source/autori:Sostarcic V., Masin R., Loddo D., Svecnjak Z., Rubinic V., Scepanovic M./titolo:Predicting the emergence of echinochloa crus-galli (L.) p. beauv. in maize crop in croatia with hydrothermal model/doi:10.3390%2Fagronomy11102072/rivista:Agronomy (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11, Agronomy, Vol 11, Iss 2072, p 2072 (2021), Agronomy, Volume 11, Issue 10
Publication Year :
2021
Publisher :
Molecular Diversity Preservation International, Basel, 2021.

Abstract

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

Details

Language :
English
Database :
OpenAIRE
Journal :
Agronomy (Basel) 11 (2021). doi:10.3390/agronomy11102072, info:cnr-pdr/source/autori:Sostarcic V., Masin R., Loddo D., Svecnjak Z., Rubinic V., Scepanovic M./titolo:Predicting the emergence of echinochloa crus-galli (L.) p. beauv. in maize crop in croatia with hydrothermal model/doi:10.3390%2Fagronomy11102072/rivista:Agronomy (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:11, Agronomy, Vol 11, Iss 2072, p 2072 (2021), Agronomy, Volume 11, Issue 10
Accession number :
edsair.doi.dedup.....8965640985172ecd4951ad758f6e00f1
Full Text :
https://doi.org/10.3390/agronomy11102072