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Correlation between weeds and crops

Sirous Hassannejad, Sorayya Navid

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Int. J. Biosci.3(5), 117-124, May 2013

DOI: http://dx.doi.org/10.12692/ijb/3.5.117-124


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In order to survey the effects of some crops (allelopathic and non allelopathic) on weed population, an experiment was done with sowing of seven different crops in 2012 at field research of University of Tabriz. Treatments were corn (Zea mays L.), sunflower (Helianthus annus L.), common beans (Phaseolus vulgaris L. var 1 and Phaseolus vulgaris L. var 2), castor bean (Ricinus communis L.), chicken pea (Cicer arientinum L.), and Lallemantia (Lallemantia iberica L.). Sampling of weed density in each plot was done in four times. Canonical correspondence analysis (CCA) showed that crop species can effect on weed species density. So that, the first two CCA axes explained 93.2, 82.5, 88.5, and 81.3 % of the variation in weed species density in sampling times 1, 2, 3, and 4, respectively. For example in the first sampling, the first axis of CCA represents a gradient of Cicer, Ricinus, Helianthus and the second axis represents a gradient of Ricinus, Cicer, Phaseolus 2, Phaseolus 1, and Lallemantia. So that, Lallemantia and Phaseolus 1, also Helianthus and Zea vectors with minimum angle, showed that these crops had maximum correlation each other, but Cicer and Zea vectors with maximum angle, showed they had minimum correlation together. Lamb,s squarters (Chenopodium album L.) and prostrate knotweed (Polygonum aviculare L.) were dominant weed species observed in the beginning and ending of crops life cycle, respectively. In forth sampling, Ricinus plots were weed free, this is may be duo to interference (competition and allelopathy) presented with Ricinus and weeds.


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Correlation between weeds and crops

Anderson TN. Milberg P. 1998. Weed flora and the relative importance of site, crop, crop rotation, and nitrogen. Weed Science, 46, 30-38.

Ball DA, Miller SD. 1990. Weed seed population response to tillage and herbicide use in three irrigated cropping sequences. Weed Science, 38, 511-517.

Barberi P, Silvestri N, Bonari E. 1997. Weed communities of winter wheat as influenced by input level and rotation. Weed Research, 37, 301-315. http://dx.doi.org/10.1046/j.1365-3180.1997.d01-53.x

Bertholdsson NO, 2005. Early vigour and allelopathy – two useful traits for enhanced barley and  wheat  competitiveness  against  weeds.  Weed Research, 45, 94-102. http://dx.doi.org/10.1111/j.1365-3180.2004.00442.x

Chancellor RJ. 1985. Changes in the weed flora of an arable field cultivated for 20 years. Journal of Applied Ecology, 22, 491–501.

Dale MRT, Thomas AG, John EA. 1992. Environmental factors including management practices as correlates of weed community composition in spring seeded crops. Canadian Journal of Botany, 70, 1931-1939. http://dx.doi.org/10.1139/b92-24

Dieleman JA, Mortensen DA, Buhler DD, Cambardella CA, Moorman TB. 2000a. Identifying associations among site properties and weed species abundance. I. Multivariate analysis. Weed Science, 48, 567–575. DOI: http://dx.doi.org/10.1614/0043-1745(2000)048[0567:IAASPA]2.0.CO;2

Dieleman JA, Mortensen DA, Buhler DD, Ferguson RB. 2000b. Identifying associations among site properties and weed species abundance. II. Hypothesis generation. Weed Science, 48, 576– 587. http://dx.doi.org/10.1614/0043-1745(2000)048[0567:IAASPA]2.0.CO;2

Derksen DA, Thomas GP, Lafond GP, Loeppky HA, Swanton CJ. 1993. Impact of agronomic practices on weed communities: Tillage systems. Weed Science 41, 409–417. URL:

Derksen DA, Thomas GP, Lafond GP, Loeppky HA, Swanton CJ. 1995. Impact of post-emergence herbicides on weed community diversity within conservation-tillage systems. Weed Research 35, 311–320. http://dx.doi.org/10.1111/j.1365-3180.1995.tb01794.x

Froud-William RJ. 1987. Change in weed flora with different tillage and agronomic management systems. In: Weed Management in Agro-ecosystem: Ecological Approach (ed. by Altieri M. and Liebman M.). CRC Press, Boca Raton, Fl, 213–236.

Guenzi WD, McCalla TM. 1962. Inhibition of germination and seedling development by crop residues. Soil Science Society of America Proceedings, 26, 455-458.

Hassannejad S, Porheidar Ghafarbi S, Lotfi R. 2013. Allelopathic effects of wheat and barley on emergence and seedling growth of some weed species. International Journal of Biosciences, 3 (1), 128-134.

Hassannejad S, Porheidar Ghafarbi S, Lotfi R. 2013. Assessment of seed to seed allelopathic potential of Corn (Zea mays L.) on seed and seedling growth of some volunteer species. International Journal of Biosciences 3 (1), 121-127.

Hulme L, Tessier S, Dyck DFB. 1991. Tillage and rotation influences on weed community composition in wheat (Triticum aestivum L.) in southwestern Saskatchewan. Canadian Journal of Plant Science 71, 783-789. http://dx.doi.org/10.4141/cjps91-112

Kenkel NC, Derksen DA, Thomas AG, Watson PR. 2002. Multivariate analysis in weed science research. Weed Science, 50, 281–292. http://dx.doi.org/10.1614/0043-1745(2002)050[0281:RMAIWS]2.0.CO;2

Legere A, Samson N. 1999. Relative influence of crop rotation, tillage, and weed management on weed associations in spring barley cropping systems. Weed Science, 47, 112–122.

Leeson JY, Sheard W, Thomas AG. 2000. Weed communities associated with arable Saskatchewan farm management systems. Canadian Journal of Plant Science, 80, 177–185.

Marshall EJP, Brown VK, Boatman ND, Lutman PJW, Squire GR, Ward LK. 2003. The role of weeds in supporting biological diversity within crop fields. Weed Research, 43, 77–89. DOI: http://dx.doi.org/10.1046/j.1365-3180.2003.00326.x

O’Donovan JT, McAndrew DW, Thomas AG. 1997. Tillage and nitrogen influence weed population dynamics in barley (Hordeum vulgare). Weed Technology, 11, 502–509.

Patrick ZA, Koch LW. 1958. Inhibition of respiration, germination, and growth by substances arising during the decomposition of certain plant residues in soil. Canadian Journal of Botany, 36, 621- 647. http://dx.doi.org/10.1139/b58-058

Post BJ. 1988. Multivariate analysis in weed science. Weed Research, 28, 425–430. http://dx.doi.org/10.1111/j.1365-3180.1988.tb00823.x

Pysek P, Leps J. 1991. Response of a weed community to nitrogen fertilization: A multivariate analysis. Journal of Vegetation Science, 2, 237–244. http://dx.doi.org/10.2307/3235956

Salonen J. 1993. Weed infestation and factors affecting weed incidence in spring cereals in Finland – a multivariate approach. Agricultural Science in Finland, 2, 525–536.

Tanveer A, Tahir M, Nadeem MA, Younis K, Aziz A, Yaseen M. 2008. Allelopathic effects of Xanthium strumarium L. on seed germination and seedling growth of crops. Allelopathy Journal, 21, 317-327.

Ter Braak CJF. 1986. Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis. Ecology, 67, 1167–1179.

Ter Braak CJF. 1987. The analysis of vegetation-environment relationships by canonical correspondence analysis. Vegetation, 69, 69–77. 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, Frick BL. 1993. Influence of tillage systems on weed abundance in southwestern Ontario. Weed Technology, 7, 699–705.


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