Survey of Associations among Soil Properties and Climatic Factors on Weed Distribution in Wheat (Triticum aestivum L.) in Kermanshah Province

Document Type : Scientific - Research

Authors

• Mozhgan Veisi ¹
• Hamid Rahimian ²
• Hassan Alizade ²
• Mehdi Minbashi ³
• mostafa Oveisi ²

¹ Kermanshah Agricultural and Natural Resources Research Center, Agricultural Research and Education Organization, Kermanshah, Iran

² Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences and Engineering, Tehran University of Agriculture and Natural Resources Campus, Karaj, Iran

³ Weed Research Section Research, Institute of plant protection Tehran, Iran

10.22067/jag.v8i2.37008

Abstract

Introduction
Kermanshah province, Iran, comprises an area, of 24640 km2 and is located between 33°37′-35°17′N and 45°20′-48°1′E. The average annual precipitation is 450 mm. Most of the fields surveyed in this study lie between 542 and 1554 m a.s.l. Among the factors decreasing the wheat yields, weeds have an important role. The results of some researches show that the weeds flora depends on climatic conditions, temperature and amount of rainfall in spring and in summer. Environmental factor splay a key role in the weed cover. These differences affected by climatic conditions, latitude and longitude. Multivariate statistical methods that have been addressed in this study area powerful tool to study the relationship between environmental factors and ecological weed community composition (Hassannejad & Pourhaydar Ghafarbi, 2013; Lososova et al., 2004). Correlation and regression of data floristic and environmental factors were used in the CCA (Canonical Correspondence Analysis) technique (Legendre & Legendre, 1998).
Materials and methods
A survey was conducted to study the effects of soil and climatic factors on distribution of weeds in 85 irrigated wheat fields in 11 counties based on its area under irrigated wheat. An Experiment was conducted in Kermanshah province during 2011-2012. After choosing the field to be surveyed, the surveyor followed a “w”-designated set pattern to enumerate the weeds in each type of field. The pattern and number of 0.25 m2 quadrats varied according to the size of the fields. The field surveys were made during the wheat tillering to stem elongation stages. Frequency, density and mean density index of species in each county were calculated. After weed species were collected in the fields, we arranged the samples into the first matrix where weed species are represented by columns and fields of different districts by rows. Also, in the second matrix, environmental factors are represented by columns and fields of different districts by rows. Data on weed communities and environmental factors of all districts were analyzed through with ordination methods like canonical correspondence analysis (CCA) and weed species distribution and environmental factors displayed in ordination diagrams. These ordination methods were done with mean density of 29 abundant weed species for CCA using CANOCO (Version 4.5). Ordination plots were produced for both sampling sites and weed species associated with environmental factors. For CCA, we used site elevation, humidity for 10 years period, daily raining for a 10 years period. Soil characteristic included calcium, phosphor, potassium, nitrogen, sodium, magnesium, pH were determined. Sand, clay and silt in soils were measured and elevation of each field was gained by GPS.
Results and discussion
162 weed species belonging to 33 plant families were identified in these fields. Multivariate analyses with canonical correspondence analysis (CCA) showed that changes in the weed species distribution were due to soil characters (pH, Calcium, Magnesium, Phosphorus, Nitrogen, Sodium, Potassium, silt percent, clay and loam in soil tissue, cation exchange capacity, EC) and environmental conditions during former years. The first and second RDA axes described 64% of variations in the weed populations affected by climatic factors. Winter wild oat (Avena ludoviciana L.), ryegrass (Lolium rigidum Gaud.), wild mustard (Sinapis arvensis L.) and canary seed (Phalaris brachystacys Link.) in areas of high temperature and low altitude, had a wide distribution. High evaporation increased wild barely (Hordeum spontaneum C. Koch.), Corn cleavers (Galium tricornutum Dandy.) and Vetch (Vicia assyriaca Boiss.) density during last decade. Where the soil nitrogen and phosphorus rates were high, Wild barely (Hordeum spontaneum C. Koch.) density was found frequently in wheat fields of Kermanshah. In the wheat fields of Kermanshah, Bindweed (Convolvulus arvensis L.) and wild safflower (Carthamus oxyacantha M. B.) were more abundant in clay soils. High Corn cleaver (Galium tricornutum Dandy.) density was found in alkaloid and sandy soils.
Conclusion
Generally predict that if the temperature rise over the next few years, weed density and abundance of wild oat, ryegrass and wild mustard will be increased in irrigated wheat fields.
Acknowledgments
The authors acknowledge the financial support of the project by agricultural Research education and extension organization and College of Agriculture and Natural Resources, Tehran University.

Keywords

• Canonical correlation analysis (CCA)
• Evaporation
• Frequency

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References

Andreasen, C., Streibig, J.C., and Haas, H. 1991. Soil properties affecting the distribution of 37 weed species in Danish fields. Weed Research 31: 181-187.

Anonymous. 2013a. Agricultural of Statistic Database. Agriculture Crop and Orchard Products 2: 2010-2011. Ministry of Agriculture, Department of Planning and Economic Affairs, Office of Statistics and Information Technology. Available at web site http://www.maj.ir/portal. (Verified 20 April 2013). (In Persian)

Anonymous. 2013b. Agricultural of Statistic Database. Agriculture Products 2, 2011. Ministry of Agriculture, Department of Planning and Economic Affairs, Office of Statistics and Information Technology. Available at web site http://www.maj.ir/portal. (Verified 20 April 2013). (In Persian)

Anonymous. 1994. Methods of Authorised Soil Analysis in Denmark. Ministry of Agriculture and Fisheries.

Bashkin, M., Stohlgren, T.J., Otsuki, Y., Lee, M., Evangelista, P.H., and Belnap, J. 2003. Soil characteristics and plant exotic species invasion in the Grand Staircase Escatlante National Monument, Utah, USA, Applied Soil Ecology 22: 67-77.

Bohnert, W. 1981. Ergebnisse von struktur unter suchungen in unterschied-lish begullten acker unkraut phytozonosen. Wiss. Z. University Halle 81: 103-114.

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.

Dale, M.R.T., Thomas, A.G., and John, E.A. 1992. Environmental factors including management practices as correlates of weed community composition in spring seeded crops. Canadian Journal of Botany 70: 1931-1939.

Derksen, D.A. 1996. Weed community ecology: Tedious sampling or relevant science? A Canadian perspective. Phytoprotection 77: 29-39.

Duke, J.A. 1976. Perennial weeds as indicators of annual climatic parameters. Agricultural Meteorology 16: 291-294.

Frick, B., and Thomas, A.G. 1992. Weed survey in different tillage systems in Southern Ontario field crops. Canadian Journal of Plant Science 72: 1337-1347.

Glemnitz, M., Radics, L., Hoffmann, J., and Czimber, G. 2006. Weed species richness and species composition of different arable field types– A comparative analysis along a climate gradient from south to north Europe. Journal of Plant Diseases Protection 20: 577-586.

Hamidi, R., Mazaheri, D., and Rahimian, H. 2011. Wild barley (Hordeum spontaneum C. Koch.) and winter wheat (Triticum aestivum L.) growth responses to nitrogen and densities in a replacement series study. Canadian Journal of Science Industry Research 2: 251-267.

Hamidi, R. 2012. The invasive status of wild barley (Hordeum spontaneum C. Koch.) in Iranian flora: A Review. Journal of Ecology Natural Environment 4(4): 94-97.

Harris, P., and Cranston, R. 1979. An economic evaluation of control methods for diffuse and spotted knapweed in western Canada. Canadian Journal of Plant Science 59: 375-382.

Hassannejad, S., and Pourhaydar Ghafarbi, S. 2013. Effect of environmental factors on weed species distribution. Technical Journal of Engineering and Applied Sciences 3(4): 355-360.

Holzner, W. 1982. Weeds as indicators. In Holzner, W., and Numata, N. (Eds.) Biology and ecology of weeds. Junk, The Hague p. 187-190.

Jafari, M., Zare chahooki, M.R., Tavili, A., Azarinvand, H., and Zahdi Amiri, V. 2004. Effect of environment factors on distribution plant of Yazd Poshtkooh ranglands. Journal of Natural Resources 56: 621-641. (In Persian with English Summary)

Jeffers, J.N.R. 1988. Practitioner’s Handbook on the Modeling of Dynamic Change in Ecosystems. New York, Journal Wiley. 181 pp.

Kenkel, N.C., Derksen, D.A., Thomas, A.G., and Watson, P.R. 2002. Multivariate analysis in weed science research. Weed Science 50: 281-292.

Khadem al hossieni, Z., Shokri, M., and Habibian, S.H. 2007. Survey of topography factors and climate on distribution plants of Arsanjan rangeland (Bonab). Journal of Rangeland 1(3): 222-236. (In Persian with English Summary)

Legendre, P., and Legendre, L. 1998. Numerical Ecology. Second Edition. Amsterdam, Elsevier. p. 853.

Lindsay, D.R. 1953. Climate as a factor influencing the mass ranges of weeds. Ecology 34: 308-321.

Lososova, Z., Chytry, M., Cimalova, S., Kropac, Z., Otypkova, Z., Pysek, P., and Tichy, L. 2004. Weed vegetation of arable land in Central Europe: gradients of diversity and species composition. Journal of Vegetation Science 15: 415-422.

Mccully, K.V., Sampson, M.G., and Watson, A.K. 1991. Weed survey of Nova Scotia, Lowbush blueberry (Vaccinium angustifolium) fields. Weed Science 39: 180-185.

Minbashi Moeini, M., Baghestani, M.A., and Rahimian, H. 2008. Introducing abundance index for assessing weed flora in survey studies. Weed Biology and Management 8: 172-180.

Morshedi, A., Montazeri, M., Minbashi, M., and Morshedi, J. 2008. Identification and distribution map of weeds in dryland wheat in Shirvan- Chardavol (Ilam) using GIS and their effect on crop loss at cold and sub-tropic areas. Proceedings of the 2nd National Weed Science Congress. Mashhad, 29-30 January 2008, 2: 58-64. (In Persian with English Summary)

Mottaghi, S., Akbari, G.H.A., Minbashi, M., Allahdadi, I., Zand, E., and Lotfifar, O. 2012. The study of dispersal of english title dominant grass weeds of irrigated wheat fields of Iran and determine the effective environmental factors. Plant Products Technology (Agricultural Research) 11(2): 13-24.

Norozzadeh, S., Rashed Mohasel, M.H., Nassiri Mahallati, M., Koocheki, A., and Abbas Pour, M. 2008. Evaluation of species functional and structural diversity of weeds in wheat fields of Northern, Southern and Razavi Khorasan provinces. Iranian Journal of Field Crop Research 6: 471-485. (In Persian with English Summary)

Pysek, P., and Leps, J. 1991. Response of a weed community to nitrogen fertilization: A multivariate analysis. Journal of Vegetation Science 2: 237-244.

Qiang, S. 2005. Multivariate analysis, description, and ecological interpretation of weed vegetation in the summer crop fields of Anhui province, China. Journal of Integrative Plant Biology 47(10): 1193-1210.

Quail, P.H., and Carter, O.G. 1969. Dormancy in seeds of Avena ludoviciana and A. fatua.

Australian Journal of Agricultural Research 20(1): 1-11.

Reed, R.A., Peet, R.K., Palmer, M.W., and White, P.S. 1993. Scale dependence of vegetation- environment correlation: A case study of North Carolina piedmont woodland. Journal of Vegetation Science 4: 329-340.

Reuss, H.U., and Bachthaler, G. 1979. Review about state and trend of the weed flora on arable land influenced by ecological and anthropogenic factors. In ninth International Congress of Plant Protection Washington 5-11 August.

Streit, B., Rieger, S.B., Stamp, P., and Richner, W. 2003. Weed populations in winter wheat as affected by crop sequence, intensity of tillage and time of herbicide application in a cool and humid climate European. Weed Research 43: 20-32.

Ter Braak, C.J.F. 1987a. The analysis of vegetation-environment relationships by canonical correspondence analysis. Vegetation 69: 69-77.

Ter Braak, C.J.F. 1988. Canoco, a fortran program for canonical community ordination by partial, detrended, canonical correspondence analysis, principal component analysis and redundancy analysis. Version 2.1. Agricultural Mathematics Group, Wageningen 95 pp.

Ter Braak, C.J.F., and Prentice, I.C. 1988. A theory of gradient analysis. Advanced Ecology Research 18: 271-317.

Thomas, A.G. 1991. Floristic composition and relative abundance of weeds in annual crops of Manitoba. Canadian Journal of Plant Science 71: 831-839.

Thomas, A.G., Douglas, J.D., and Mccully, K.V. 1994. Weed survey of spring cereals in New Brunswick. Phytoprotection 75(3): 113-124.

Thorup, S., and Pinnerup, S.P. 1983. Soil tillage and catch crop by growth of barley. 3 The influence on weed population. Tidsskrift for Planteavl 87: 237-256. (In Danish with English Summary)

Timothy, K., Chicoine, Peter, K.F., and Nielsen, G.A. 1985. Predicting weed migration from soil and climate maps. Weed Science 34(1): 57-61.

Uddin, K.M., Juraimi, A.S., Begum, M., Ismail, M.R., Rahim, A.A., and Othman, R. 2009. Floristic composition of weed community in turf grass area of west peninsular Malaysia. International Journal of Agricultural Biology 11: 13-20.