http://www.cnr.it/ontology/cnr/individuo/prodotto/ID176061
Modeling weed emergence in Italian maize fields (Articolo in rivista)
- Type
- Label
- Modeling weed emergence in Italian maize fields (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1614/WS-D-11-00124.1 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Masin R; Loddo D; Benvenuti S; Otto S; Zanin G (literal)
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- Rivista
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- First, second and fifth authors: Researcher, Post-Doctoral Fellow, Professor, Dipartimento di Agronomia Ambientale e Produzioni Vegetali, Università di Padova, Viale dell'Università 16, 9 35020 Legnaro (PD), Italy.
Third author: Researcher, Dipartimento di Biologia delle Piante Agrarie, Viale delle Piagge 23, 56100, Pisa, Italy.
Fourth author: Researcher, Istituto di Biologia Agroambientale e Forestale (IBAF-CNR), Viale dell'Università 16, 35020 Legnaro (PD), Italy. (literal)
- Titolo
- Modeling weed emergence in Italian maize fields (literal)
- Abstract
- A hydrothermal time model was developed to simulate field emergence for three weed species in maize (common lambsquarters, johnsongrass, and velvetleaf). Models
predicting weed emergence facilitate well-timed and efficient post-emergence weed control strategies (e.g. chemical and mechanical control methods). The model, called
AlertInf, was created by monitoring seedling emergence from 2002 to 2008 in field experiments at three sites located in the Veneto region in northeastern Italy.
Hydrothermal time was calculated using threshold parameters of temperature and water potential for germination estimated in previous laboratory studies with seeds of
populations collected in Veneto. AlertInf was validated with datasets from independent field experiments conducted in Veneto and in Tuscany (west central Italy). Model
validation resulted in both sites in efficiency index values ranging from 0.96 - 0.99. AlertInf, based on parameters estimated in a single region, was able to predict the
timing of emergence in several sites located at the two extremes of the Italian maize growing area. (literal)
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