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dc.contributor.authorRoyo-Esnal, Aritz
dc.contributor.authorOnofri, Andrea
dc.contributor.authorTaab, Alireza
dc.contributor.authorLoddo, Donato
dc.contributor.authorNecajeva, Jevgenija
dc.contributor.authorUludag, Ahmet
dc.contributor.authorSynowiec, Agnieszka
dc.contributor.authorCalha, Isabel M.
dc.contributor.authorLars, Andersson
dc.contributor.authorJensen, Peter K.
dc.contributor.authorUremis, Ilhan
dc.contributor.authorEconomou, Garifalia
dc.contributor.authorMurdoch, Alistair J.
dc.contributor.authorTørresen, Kirsten S.
dc.description.abstractThe variability in the emergence process of different populations was confirmed for two Echinochloa crus-galli populations, one from Italy (IT) and the second from Norway (NO). Seeds were sown in 12 localities over Europe and the Middle East, and the emergence patterns of IT and NO were compared with those of several local populations at each location. Seeds of each population were sown in pots buried to the ground level. The base temperature (Tb) for emergence was estimated by (1) analysing logistic models applied to the field emergence of IT and NO, and (2) a germination assay set in winter 2020 at constant temperatures (8, 11, 14, 17, 20, 26, 29°C) with newly collected seeds in 2019 from the same fields where IT and NO had previously been harvested in 2015. The logistic models developed for IT and NO in each location showed that the emergence pattern of IT was similar to that of the local populations in Poland, Italy, Spain, Turkey South and Iran, while NO fitted better to those in Sweden and Latvia. No germination was obtained for IT in a germination chamber, but the estimated Tb with the logistic model was 11.2°C. For NO, the estimated Tb was 8.8°C in the germination chamber and 8.1°C in the field. Results suggest that adaptation to local environmental conditions has led to inter-population differences in Tb and parameter estimates of thermal-time models to predict the emergence of E. crus-galli should only be used for populations with similar climatic and habitat conditions.ca_ES
dc.description.sponsorshipThe authors thank all the technicians, students and institutions that have contributed to establishing and maintaining the field experiment. We also thank Dr. Frank Forcella and James Eklund, from the USDA‐ARS in Morris (MN), for providing the dataloggers and facilitating the collection of soil temperature data in each location. Our thanks also to the Spanish Ministry of Economy and Competitiveness for funding to Royo‐Esnal through the AGL2017‐83325‐C4‐2‐R; Duzce Üniversitesi, Turkey, for funding to Uludag (Project No: 2015.11.02.375); and the Norwegian Research Funding for Agriculture and the Food Industry and project partners in Research Council of Norway Project no. 267700 for supporting Tørresen in the experiment. Uludag thank his two graduate students, Miss Buyukkurt and Zambak, and Murdoch thank MSc student, Mr Guangxing Xie, who carried out some of the germination assays. Royo‐Esnal thank Jordi Izquierdo for providing the seeds of L3 population for the experiment in Lleida. Finally, the authors are also grateful to the EWRS, for providing funds to enable the working group participants to meet and discuss the collaborative experiment.ca_ES
dc.publisherJohn Wiley and Sons Inc.ca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-83325-C4-2-R/ES/GESTION DE MALAS HIERBAS EN CEERALES Y VIÑA MEDIANTE LA INTEGRACION DE SISTEMAS DE MANEJO Y HERRAMIENTAS DE DECISION/ca_ES
dc.relation.isformatofReproducció del document publicat a
dc.relation.ispartofWeed Research, 2022, p.1-14ca_ES
dc.rightscc-by-nc-nd (c) Royo et al., 2022ca_ES
dc.subjectBarnyard grassca_ES
dc.subjectClimate changeca_ES
dc.subjectEmergence patternca_ES
dc.subjectPopulation variabilityca_ES
dc.subject.otherCanvi climàticca_ES
dc.subject.otherVegetació i climaca_ES
dc.titleComparing the emergence of Echinochloa crus-galli populations in different locations. Part II: similarities and threshold parametersca_ES

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