Development and Validation of a Predictive Model for Seedling Emergence of Volunteer Canola (Brassica napus) Under Semi-Arid Climate
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Volunteer canola (Brassica napus L.) can damage the production of subsequent canola crops and other crops. Timely and more accurate control could be developed if there is a better understanding of its temporal emergence patterns. The objectives of this study were to develop and validate a predictive model of emergence for B. napus under semi-arid conditions based on thermal time (TT). Experiments were conducted during 3 years to obtain cumulative seedling emergence data and used to develop and validate the model. A Weibull function was fitted to cumulative seedling emergence and TT. The model closely fitted the observed emergence patterns, accounting for 99% of the variation observed. According to this model, seedling emergence of B. napus started at 56.1 TT and increased to 50 and 95% of maximum seedling emergence at 86.3 and 105.4 TT, respectively. Validation was performed with the Weibull model and two logistics models (taken from the literature) developed under different climate conditions. The validation indicated that the Weibull model performed better than the logistic models. The Weibull model proposed is robust enough and could be useful as a predictive tool for effective control of B. napus under semi-arid climate.
KeywordsWeibull model Logistic model Base temperature Soil depth Thermal time Degree days Weed emergence
JLG-A was partially supported by FEDER (European Regional Development Fund) and the Spanish Ministry of Economy and Competitiveness Grant (AGL2015-64130-R).
- Baskin, C. C., & Baskin, J. M. (2014). Seeds: ecology, biogeography, and evolution of dormancy and germination (2nd ed.). San Diego: Elsevier/Academic Press.Google Scholar
- Cameron, A. C., & Windmeijer, F. A. G. (1996). R -squared measures for count data regression models with applications to health-care utilization. Journal of Business and Economic Statistics, 14, 209–220.Google Scholar
- Cardina, J., Webster, T. M., & Herms, C. P. (1998). Long-term tillage and rotation effects on soil seedbank characteristics. Aspects of Applied Biology, 51, 213–220.Google Scholar
- Farzaneh, S., Soltani, E., Zeinali, E., & Ghaderi-far, F. (2014). Screening oilseed rape germination for thermotolerance using a laboratory-based method. Seed Technology, 36, 15–27.Google Scholar
- Legere, A., Simard, M.J., Thomas, A.G., Pageau, D., Lajeunesse, J., Warwick, S.I., Derksen, D.A., 2001. Presence and persistence of volunteer canola in Canadian cropping systems. In Pages 143–148 in British Crop Protection Council, ed. Proceedings of the Brighton Crop Protection Conference—Weeds 2001. Surrey, Great Britain: British Crop Protection Council.Google Scholar
- Nowroozian, M. (2000). The list of permissive toxins in Iran. Tehran, Iran: Plant Protection Organization Press (in Persian).Google Scholar
- SAS Institute INC (2011) SAS/STAT 9.3 user’s guide, the PLSprocedure, SAS Campus Drive, Cary, North Carolina 27513.Google Scholar
- Sauermann, W. (1993). Einflüsse auf den Glucosinolatgehalt—Ergebnisse 2-jähriger Untersuchungenaus den Land-essortenversuchen. Raps, 11, 82–86.Google Scholar
- Schlink, S., 1994. Ecology of germination and dormancy in oilseed rape (Brassica napus L.) and their importance forthe survival of the seeds in soil. 193 f. Dissertation (Master in Botany)—Faculty of Biology, University of Berlin, Berlin, 1994.Google Scholar
- Soltani, E., Gruber, S., Oveisi, M., Salehi, N., Alahdadi, I., Ghorbani-Javid, M. (2017). Water stress, temperature regimes, and light control secondary dormancy induction and loss in Brassica napus L. seeds. Seed Science Research, 27, 217–230. https://doi.org/10.1017/s0960258517000186.CrossRefGoogle Scholar