Comparison of Growth and Phenological Development of Jimsonweed (Datura stramonium L.) Ecotypes

پژوهش های حفاظت گیاهان ایران

Article 6, Volume 34, Issue 1 - Serial Number 47, June 2020, Pages 81-97   

Document Type: Research Article

DOI: 10.22067/jpp.v34i1.80203

Authors

S. Bazyar¹; M. Diyanat^{* 2}

¹, Department of Agricultural, Karaj Branch, Karaj

²Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Introduction: Jimsonweed (Datura stramonium L.) is considered as a serious weed in many crops such as corn, soybean, Chitti been and cotton and in waste land. Due to jimsonweed is resistant to most commonly used herbicides, its control is difficult. Contamination of wheat, rye, buckwheat and linseed with seeds of jimsonweed resulting in poisoning have been reported. A precise prediction of the phenological development of jimsonweed in crops would provide timely control for more efficient management of it in growing season.
Materials and Methods: The experiment was carried out at Iranian Plant Protection Research farm in Karaj (Meshgin dasht) during 2013. The experiment was a split plot layout as randomized complete block design with three replications per planting date (March, April, May, June, July and August) and ecotypes (Karaj, Ghazvin, Shiraz, Gorgan, Esfahan, Mashhad and Oromiee) as the main plot and the subplot. Jimsonweed seeds were cultivated manually in four rows at a distance of 30 cm and a depth of 3-5 cm. The plants were noted twice a week to record the phonological stages of growth. Seven main stages were selected and studied according to the study of phonological stages of jimsonweed based on BBCH codes. The base temperature of jimsonweed was considered 8 ºC. Time to main phonological stages of jimsonweed ecotypes including emergence, three-leaf, eight-leaf, flowering, fruiting, opening fruit and maturity were compared using linear regression model.
Results and Discussion: One of the reasons for using linear regression to describe the phenological development of plants is that, during plant life and at the time of seedling emergence, the reaction of the rate of development of most plants is linear or near the linear temperature, which is the nature of the traditional thermal time method (GDD). This suggests that with increasing environmental temperature, there is a difference between the seeds of different ecotypes of jimsonweed during emergence of seedlings. Emergence rate was higher in Oromiee ecotype than the other ecotypes. Oromiee and Gorgan ecotypes reached to three-leaf stage sooner than the other ecotypes. Oromiee ecotype with smaller canopy reached sooner to reproductive stage that can be used as a mechanism for survival and seed production for future generations against the falling temperature during the last months of plant growth. The ecotype of Shiraz showed less reaction to temperature in this stage than other ecotypes due to higher average temperature in Shiraz city compared to Karaj city. Oromiee ecotype was more sensitive to temperature than other jimsonweed ecotypes. In other words, the rate of reaching to the phenological stages in this ecotype was higher for each unit of temperature. The rapid reaction of this ecotype to the increase of temperature could be due to the conditions of the growth of the mother plant of this ecotype compared to the other jimsonweed ecotypes. This trend was reversed in the ecotype of Shiraz, which means that this ecotype was less sensitive to temperature, and grew at a slower rate than the other jimsonweed ecotypes. The mother plants of this ecotype, in contrast to the Oromiee ecotype, were produced at a higher average temperature, which resulted in a lower reaction due to an increase in temperature per unit of temperature.
Conclusion: Different ecotypes of jimsonweed have different phonological responses relative to the temperature. In addition, the rates of phonological development of ecotypes with different geographic regions were significantly different. In general, jimsonweed ecotypes showed the highest and lowest sensitivity to the increase in temperature at emergence and reproduction stages, respectively. Having knowledge of plant phenology, through the establishment of land preparation and planting date, will be effective for sustainable weed management. Additionally, the determination of the best time for spray also depends on the precise knowledge of the phonological stages. In many cases, the ineffectiveness of herbicides is due to the growth stages of the weed and the reduction of their sensitivity to them. Disturbance in the dynamics of the seed bank of weeds also requires knowledge of the germination characteristics and plant phonological stages. Recognizing these different behaviors in different ecotypes of weeds is very important and plays a very important role in recognizing patterns of weed adaptation to environmental conditions and also choosing appropriate management strategies.

Keywords

Growing degree days; , Phenology; Rate of seedling emergence; Weed

References

1- Abbasi Surki A., Rouhi H.R., Moradi A., Zainali N., and Alimoradi J. 2017. Methods for overcoming seed dormancy in jimsonweed (Datura stramonium L. Journal of Field Crop Science Special Issue: 35-41. (In Persian with English Abstract)

2- Abin A., and Eslami S.V. 2009. Influence of maternal environment on salinity and drought tolerance of annual sowthistle (Sonchus oleraceus L.) at germination and emergence stage. Iranian Weed Research Journal 2: 1- 12. (In Persian with English Abstract)

3- Alm D.M., McGiffen J.R.M.E., and Hersketh J.D. 1991. Weed phenology. In Predicting Crop Phenology 191-218.

4- Arana M.V., de Miguel, L.C. and Sanchez, R.A. 2006. A phytochrome-dependent embryonic factor modulates gibberellin responses in the embryo and micropylar endosperm of Datura ferox seeds. Planta 223: 847-857.

5- Boonman J. G. 1993. East Africa's grasses and fodders: Their ecology and husbandry. Kluwer Academic Publishers, Dordrecht, the Netherlands.

6- Cardina J., Catherine P., Herms D., Herms A., and Forcella F. 2007. Evaluating Phonological Indicators for Predicting Giant Foxtail (Setaria faberi) Emergence. Weed Science 55: 455-464.

7- Clements D.R., and Ditommaso A. 2011. Climate change and weed adaptation: can evolution of invasive plants lead to greater range expansion than forecasted? Weed Research 51: 227-240.

8- Donato L., Edite S., Masin R., Calha I., Zanin G., Fernandez- Quintanilla C., and Dorado J. 2013. Estimation and Comparison of Base Temperatures for Germination of European Populations of Velvetleaf (Abutilon theophrasti) and Jimsonweed (Datura stramonium). Weed Science 61: 443–451.

9- Donohue, K. 2002. Germination timing influences natural selection on life-history characters in Arabidopsis thaliana. Ecology 83(4): 1006-1016.

10- Fenner M., and Thompson K. 2006. The ecology of seeds. Cambridge: Cambridge University Press. P. 260

11- Forcella F., Benech Arnold, R.L., Sanchez R., and Ghersa, C.M. 2000. Modeling seedling emergence. Field Crop Research 67: 123-139.

12- Forouzesh S., Oveisi M., Alizadeh H., Rahimian Mashhadi H., and Farokhi Z. 2017. Comparison of phenological development of Avena ludoviciana ecotypes. Iranian Journal of Field Crop Science 48: 601-613.

13- Ghersa C.M., and Holt J.S. 1995. Using phenology prediction in weed management: a review. Weed Research 35: 461-470.

14- Hess M., Barralis G., Bleiholder H., Eggers T.H., Hack H., and Stauss R. 1997. Use of the extended BBCH scale – general for the descriptions of the growth stages of mono – and dicotyledonous weed species. Weed Research 37: 433-441.

15- Karimmojeni H., Rahimianmashhadi H., Alizadeh H.M., Nasirimahhallati M., and Zand E. 2007. Estimation of corn yield loss due to single and single species of jimson weed and rough cocklebur using empirical models based on density. Electronic Journal of Crop Production 1: 127-136. (In Persian with English Abstract)

16- Kawabata O., and Nishimoto R.K. 2003.Temperature and rhizome chain effect on sprouting of purple nutsedge (Cyperus rotundus) ecotypes. Weed Science 51: 348–355.

17- Khanjani M., Mahmoodi, S., and Jamil mohammadi. 2009. Effect of density and relative time of emergence of Jimsonweed (Datura stramonium L.) on yield and yield components of Chitti been (Phaseolus vulgaris L.). Electronic Journal of Crop Production 89: 215-228. (In Persian with English Abstract)

18- Kirwa E.C., Njoroge K., Chemining’wa G.N., and Mnene N. 2016. Ecological effects on the flowering phenology of Cenchrus ciliaris L. collections from the arid and semiarid lands of Kenya. African Journal of Agricultural Research 11: 1008-1018.

19- Leblanc M.L., Cloutier D.C., Stewart K., and Hamel C. 2003. The use of thermal time to model common lambsquarters (Chenopodium album) seedling emergence in corn. Weed Science 51: 718-724.

20- Masin R., Loddo D., Benvenuti S., Otto S., and Zanin G. 2012. Modeling weed emergence in Italian maize fields. Weed Science 60: 254-259.

21- Mickelson J.A., and Grey W. E. 2006. Effect of soil water content on wild oat (Avena fatua) seed mortality and seedling emergence. Weed Science 52: 255-262.

22- Najafi H. 2013. Biology and management of Iranian weeds. Agricultural Research Organization. 455 pp.

23- Rowse H.R., and Finch-Savage W.E. 2003. Hydrothermal threshold models can describe the germination response of carrot (Daucus carota) and onion (Allium cepa) seed populations across both sub- and supra-optimal temperatures. New Phytologist 158: 101–108.

24- Sans F.X., and Masalles R.M. 1994. Life-history variation in the annual arable weed Diplotaxis erucoides (Cruciferae). Canadian Journal Botany 72: 10-19.

25- Soltani A., Robertson M.J., Torabi B., Yousefi-Daz M., and Sarparast R. 2006. Modeling seedling emergence in chickpea as influenced by temperature and sowing depth. Agriculture Forest Meteorological 138: 156-167.

26- Sultan S.E., and Bazzaz F.A. 1993. Phenotypic plasticity in Polygonum persicaria. I. Diversity and uniformity in genotypic norms of reaction to light. Evolution 47: 1009-1031.

27- Veblen K.E. 2012. Savanna glade hotspots: Plant community development and synergy with large herbivores. Journal of Arid Environment 78: 119-127.

28- Wang J.Y. 1960. A critique of the heat unit approach to plant response studies. Ecology 41: 785-790.

29- Zand E., Rahimian H., Koocheki A. R., Khalaghani J., Moosavi K., and Ramezani K. 2004. Weed ecology (Translation). Jehade Daneshgahi of Mashhad Press.

30- Zand E., Baghestani M.A., Nezamabadi N., Minbashi M., and Hadizadeh M.H. 2009. A review on the last list of herbicides and the most important weeds of Iran. Weed Research Journal 1: 83-99. (In Persian with English Abstract)