Phenological development of barnyard grass plants originating from different geographical locationsNecajeva, J. ORCID: https://orcid.org/0000-0002-0828-9721, Royo‐Esnal, A., Loddo, D., Jensen, P., Taab, A., Synowiec, A. ORCID: https://orcid.org/0000-0001-6585-7759, Uludag, A., Uremis, I., Murdoch, A., Bochenek, A., Onofri, A. and Torresen, K. (2022) Phenological development of barnyard grass plants originating from different geographical locations. Agronomy Journal, 114 (6). pp. 3407-3419. ISSN 1435-0645 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1002/agj2.21219 Abstract/SummaryBarnyard grass [Echinochloa crus-galli (L.) Beauv] is a competitive C4 weed species that is widely distributed throughout the world. Although it originated in warm climatic conditions, currently, it is found in Europe as far north as Norway. This study aimed to compare the phenological development of plants from different climatic conditions in varying environmental conditions. To represent the contrasting climatic conditions within Europe, seeds were collected in Norway and Italy, and distributed to the study participants, to be sown at 10 different sites as two common populations. In addition to that, seeds of two to three local populations were collected near each of the sites. The development of the plants was monitored in a pot experiment set up under field conditions. The time to reach heading in the first year of the experiment was 77.6% faster (ranging from 45.9 to 98.3% on average) in the Norwegian than in the Italian population. However, in the leaf development stage, the difference between the common populations was smaller by, 23.5% on average (0–46.7%) and was mostly not significant. Our results indicate that different E. crus-galli ecotypes, characterized by differences in their phenological development, evolved within the distribution area of this species in Europe. However, the early development of the plants progressed with negligible differences between populations. The findings reported here can be used to adapt existing models from one region to regions with different climatic conditions for use in decision support systems and for research into plant population dynamics.
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