Determination of population indices and weed distribution map in barley fields of Kermanshah Province, Iran

Paper Details

Research Paper 01/07/2015
Views (539)
current_issue_feature_image
publication_file

Determination of population indices and weed distribution map in barley fields of Kermanshah Province, Iran

Mozhgan Veisi, Mehdi Minbashi Moeini
J. Biodiv. & Environ. Sci. 7(1), 446-458, July 2015.
Copyright Statement: Copyright 2015; The Author(s).
License: CC BY-NC 4.0

Abstract

Weed detection of irrigated barley fields can be considered as the most important strategy for weed management of in this crop. Based on cropping area of barley and frequency of fields in each county of Kermanshah province, barley fields were selected. In order to identify and determine the abundance of weed species in irrigated barley fields of Kermanshah province, Iran, 142 barley fields in eight counties during 2001 to 2009 were investigated. Samplings were conducted using a unique method for all fields. Geographic coordinates of fields (latitude, longitude and elevation) were determined using GPS. Density, frequency and uniformity of each weed species was calculated. A geodatabase was designed using ArcGIS software, and finally the weed map of irrigated barley fields were produced. There are 53 weed species in irrigated barley fields. Bedstraw(Galium tricornutum Dandy.), Centaurea depressa and Vicia villosa are the most important broad leaved weed species respectively and Wild barley (Hordeum spontaneum C. Koch.) and winter wild oat (Avena ludoviciana Dur.), are the most important grass weed species respectively in irrigated barley fields.Licorice root (Glycyrrhiza glabra), Sophora alopecuroides and Cirsium arvense were the most widely disturbing plants in barley fields of Kermanshah province prior to harvesting respectively. Analysis of weed population based on Shannon-Wiener diversity index showed that the counties were grouped in three clusters. Javanroud, Songhor, Sahne, Kangavar, Harsin and Kermanshah were placed in first cluster and showed the highest species diversity. Sarpole zohab and Eslamabade gharb counties were placed in the second and third cluster respectively.

Adim H, 2009. Advanced weed survey and mapping of weeds in Baluchestan using Geographic Information System (GIS).Final Report. Agriculture and Natural Resources Center of Baluchestan (Iranshahr). http://databases.agrisis.org/portal/tabid/43/Default.aspx?_RQ=FullRec&RNum=3&RecId=12

Adim H, Sarani M, Minbashi Moeini M. 2010. Determining Weed Maps and population characteristics of irrigated wheat Fields for Sistan and Baluchestan province. Iranian Journal of Weed Research 2, 1-14.

Andreasen C, Skovgaard IM. 2009. Crop and soil factors of importance for the distribution of plant species on arable fields in Denmark. Agricultural Ecosystem and Environment 133, 61 – 67.

Anonymous, 2015. Weed mapping using – GPS and GIS. 2015.

Bachthaler G. 1967. Changes in arable weed infestation with modern crop husbandary techniques. Abstract. 6th International Congress Plant Protection Vienna 167-168

Booth  BD,  Murphy  SD,  Swanton  CJ.  2003. Weed  ecology  in  natural  and  agricultural  systems. CABI Publishing. 303 p.

Bukun B, Barbaros HG. 2005. Densities and Importance Values of Weeds in Lentil Production. International Journal of Botany 1, 15-18.

Conn  JS,  Werdin-Pfisterer  NR,  Beattie  KL. 2011. Development of the Alaska agricultural weed flora 1981-2004: a case for prevention.Weed Reseach 51, 63 – 70.

Dezyanian A. 1994. Study on determination of dominant weed species in cereal Fields of Semnan Province. Proceeding of 12th Plant Protection Congress 65.

Esfandiari H, Tabatabaee R, Minbashi Moeini M, Nooralizadeh M. 2013. Investigation of diversity, density and dominant weed species of irrigated barley fields of Isfahan, using GIS (geographic information system). 5th Iranian Weed Science Congress, Karaj. 24-26 August, 426-429.

Fried G, Norton LR, Rebound X. 2008. Environmental and management factors determining weed species composition and diversity in France. Agricultural Ecosystem and Environment 128, 68 – 76.

Fryer JD, Chancellor RJ. 1970. Evidence of changing weed populations in arable land. In: Proceedings of the 10th British Weed Control Conference, Brighton, 958-964.

Gherekhloo J, Zand E. 2010. A short review on conducted herbicide- resistance researches in Iran. Proceeding of 11th congress of Agronomy and Breeding Sciences .24-26 july.110-125.

Hasanejad S, Alizadeh H, Mozaffarian V, Chayichi MR, Minbashi Moinni H. 2009. Survey of Density and Abundance for Barely Field’s Weeds in Azarbayjan – e- shargi province. Iranian Journal of Weed Science 5(1), 69-90.

Hasanejad S, Pourhaidar Ghafarbi S. 2012. Introducing new indices for weed flora studies. International Journal of Agriculture and Crop Sciences 4, 1653-1659.

Kakhki SH, Minbashi Moeini M, Moeini MR, Kamel M. 2013. Weed Population indices in irrigated wheat fields of zanjan province of Iran. Pakistan Journal of Weed Science Research 19, 123-156.

Mesdaghi M. 2005. Plant Ecology. University of Mashhad Publishing, 187 p.

McCully KV, Sampson MG, Watson AK. 1991. Weed survey of Nova Scotia lowbush blueberry (Vaccinum angustifolium) fields. Weed Science 39, 180–185.

Milanova S, Dimitrova T, Valkova M, Tachkov J, Atanasova L, Llieva L, Christov C. 2009. Weed infestation of winter wheat in Pleven region, Bulgria. Herbologia 10, 1 – 11.

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

Montazeri M, Zand E, Baghestani MA. 2005. Weeds and their Control in Wheat Fields of Iran. Iranian Plant Protection Research Institute, Tehran. Final report.

Nasir ZA, Sultan S. 2004. Survey of weeds in mustard fields of district. Chakwal, Pakistan. Pakistan Journal of Biology Science 7, 279-286.

Nekahi Mz, Soltani A, Siyahmarguei A, Bagherani N. 2013. Identification and determining diversity and dominant index of wheat fields, weed flora in Bandar Gaz, Golestan province. 5th Iranian Weed Science Congress. 24-26 August, Karaj 490-493.

Novak R, Dancza I, Szentey L, Karaman J, BeresI, Kazinczi G, GolyaG. 2010. Arable weeds of Hungary. The fifth national weed survey (2007-2008). Proceeding of 15th EWRS Symposium, Kaposvar, Hungary, 11-15 july.

Salonen J, Hyvonen T, Jalli H. 2001. Weed flora in organically grown spring cereals in Finland. Agricultural and Food Science 10, 231-242

Schroeder D, Muller H, Stinson CSA. 1993. A European weed survey in 10 major crop systems to identify targets for biological control.Weed Research 33, 449–458.

Thomas AG. 1985. Weed survey system used in Saskatchevan for cereal and oilseed crops. Weed Science 33, 34-43.

Thomas AG. 1991. Floristic composition and relative abundance of weeds in annual crops of Manitoba. Canadian Journal of Plant Science 71, 831–839.

Thomas AG, Dale MRT. 1991. Weed survey system used in Saskatchewan for cereal and oil seed crops. Weed Science 33, 34-43.

Veisi M, Rahimian Mashhadi H, Alizade H, minbashi M, Mostafa Oveisi M. 2013a. Identifying associations among soil properties and weed species population in wheat fields of kermanshah. I. Multivariate analysis. 5th Iranian Weed Science Congress. 24-26 August, Karaj 12-15.

Veisi M, Minbashi Moeini M, Sabeti P, Mohammadi A. 2013b. Determination of population indices and distribution map of weeds in rainfed wheat fields. Journal of Weed Ecology 1, 55-68.

Walker M, Casper J, Hissong F, Rieben E. 2000. Geographic Information Brings Environmental Sciences to Life. Science and Children magazine. Published by the National Science Teachers Association, 7 p.

Related Articles

Agroforestry in woody-encroached Sub-Saharan savannas: Transforming ecological challenges into sustainable opportunities

Yao Anicet Gervais Kouamé, Pabo Quévin Oula, Kouamé Fulgence Koffi, Ollo Sib, Adama Bakayoko, Karidia Traoré, J. Biodiv. & Environ. Sci. 27(3), 10-22, September 2025.

Extreme rainfall variability and trends in the district of Ouedeme, municipality of Glazoue (Benin)

Koumassi Dègla Hervé, J. Biodiv. & Environ. Sci. 27(3), 1-9, September 2025.

Heterosis breeding, general and specific combining ability and stability studies in pearl millet: Current trends

Ram Avtar, Krishan Pal, Kavita Rani, Rohit Kumar Tiwari, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 117-124, August 2025.

Combining ability, heterosis and stability for yield and fibre quality traits in cotton: Breeding approaches and future prospects

Rohit Kumar Tiwari, Krishan Pal, R. P. Saharan, Ram Avtar, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 109-116, August 2025.

Bridging the COPD awareness gap in marginalized populations: Findings from a multicentre study in Khalilabad, Sant Kabir Nagar, Uttar Pradesh, India

Anupam Pati Tripathi, Jigyasa Pandey, Sakshi Singh, Smita Pathak, Dinesh Chaudhary, Alfiya Mashii, Farheen Fatima, J. Biodiv. & Environ. Sci. 27(2), 97-108, August 2025.

Antioxidant and anti-inflammatory activity of Pleurotus citrinopileatus Singer and Pleurotus sajor-caju (Fr.) Singer

P. Maheswari, P. Madhanraj, V. Ambikapathy, P. Prakash, A. Panneerselvam, J. Biodiv. & Environ. Sci. 27(2), 90-96, August 2025.

Mangrove abundance, diversity, and productivity in effluent-rich estuarine portion of Butuanon River, Mandaue City, Cebu

John Michael B. Genterolizo, Miguelito A. Ruelan, Laarlyn N. Abalos, Kathleen Kay M. Buendia, J. Biodiv. & Environ. Sci. 27(2), 77-89, August 2025.

Cytogenetic and pathological investigations in maize × teosinte hybrids: Chromosome behaviour, spore identification, and inheritance of maydis leaf blight resistance

Krishan Pal, Ravi Kishan Soni, Devraj, Rohit Kumar Tiwari, Ram Avtar, J. Biodiv. & Environ. Sci. 27(2), 70-76, August 2025.