Modeling emergence of sterile oat (Avena sterilis ssp. ludoviciana) under semiarid conditions

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2021Author
Sousa Ortega, Carlos
Loureiro, Iñigo
Marí León, Ana Isabel
Lezáun San Martín, Juan Antonio
Cordero, Fernando
Saavedra, Milagros
Paramio, José Antonio
Fernández, José Luis
Torra, Joel
Urbano, José María
Suggested citation
Sousa Ortega, Carlos;
Royo-Esnal, Aritz;
Loureiro, Iñigo;
Marí León, Ana Isabel;
Lezáun San Martín, Juan Antonio;
Cordero, Fernando;
...
Urbano, José María.
(2021)
.
Modeling emergence of sterile oat (Avena sterilis ssp. ludoviciana) under semiarid conditions.
Weed Science, 2021, vol. 69, p.341-352.
https://doi.org/10.1017/wsc.2021.10.
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Winter wild oat [Avena sterilisssp. ludoviciana (Durieu) Gillet & Magne; referred to as A. sterilis
here] is one of the major weed species of the Avena genus, given its high competitive ability to
infest cereal crops worldwide, with special concern in Spain. A nine-location field experiment
was established across Spain where a total of 400 A. sterilis seeds per location were sowed in four
replicates in autumn 2016 to monitor the emergence during two growing seasons in dryland
conditions. The data were used to test the prediction ability of previously published thermal
(TT) and hydrothermal time (HTT) models and to develop new models, if required.
Overall, the average percentage of emergence was 30% during the first season and 21% during
the second season. In both seasons, the main emergence flush occurred between November and
February. According to the phenological stage, A. sterilis achieved the tillering earlier in
southern sites, between November 25 and the end of December, compared with northern sites,
where this stage was reached at the end of January. The newly developed model described the
emergence with precision, using three cardinal temperatures to estimate the TT. The three car dinal points were established at −1.0, 5.8, and 18.0 C for base (Tb), optimum (To), and ceiling
temperature (Tc), while the base water potential (Ψb) was established at −0.2 MPa for the HTT
estimation. This study contributes to improving prediction of the emergence of A. sterilis and
provides knowledge for decision support systems (DSS) for the control of this weed.
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Weed Science, 2021, vol. 69, p.341-352European research projects
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