Tea (Camellia sinensis L.) is one of the most popular beverage crops. Among tea production constraints, weed is one of the detrimental factors in tea productions in Ethiopia. For the possibility of developing weed management method determining the dominant and abundant weed species is highly important to identify and prioritize the most noxious and prevalent weed that associated with tea production in the country. Weed flora survey was conducted in two different tea estate farms Wushwush and Gumero tea plantations in 2019/20 cropping seasons. The field survey was done according to the quantitative survey method by using 1m2 quadrate size. Weeds present in each quadrate were counted and identified to species level. Weed abundance, dominance, frequency and similarity index was determined at two tea producing locations. A total of 63 weed species were identified from assessed tea plantation farms. The result revealed that 61.3% and 71.9% of broad leaf weed was recorded at Wushwush and Gumaro tea plantation, respectively. Only, two (6.5%) parasitic weed species were recorded at Wushwush. The most prevalent and abundant weed species at Wushwush was Ageratum conyzoides followed by Hydrocotyle americana, whereas, H. americana was the most dominant species at Gumero tea plantation. Generally, from survey results, the weed flora composition was similar in both assessed areas, as its similarity index resulted above 70%. Hence, similar weed management methods should be recommended for both locations.
Published in | American Journal of Plant Biology (Volume 6, Issue 4) |
DOI | 10.11648/j.ajpb.20210604.13 |
Page(s) | 89-94 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Diversity, Frequency, Similarity Index, Species Composition
[1] | Concenco G, Silva CJ, Correia IV, Silva JA, Santos SA, Froes AL, et al. 2014. Occurrence of weed species in Jatropha curcas intercropping systems. Planta Daninha. 32 (2): 327-334. |
[2] | Romaneckien˙ e, R.; Pilipaviˇcius, V.; Romaneckas, K. 2008. Weed emergence and death in the crop of spring barley of different competitive ability. Vagos, 15, 17–24, (In Lithuanian with English summary). |
[3] | Deka, J, Barua I 2015. Weed of tea field and therir control. In National Seminar on plant protection in Tea, Tea research Association, Tocklai Tea Research Institute India pp 55-56. |
[4] | Firehun Y. and Tamado T. 2007. Qualitative and Quantitative Assessment of Weeds in the Sugarcane Plantations of Wonji-Shewa and Matahara. Eth. J. of Weed Mgt. 1: 1-14. |
[5] | Aruna Varanasi, P. V. Vara Prasad, MithilaJugulam. 2016. Impact of Climate Change Factors on Weeds and herbicide Efficacy. Pp. 109-1222. In. Donald L. Sparks (eds.), Advances in Agronomy. Elsevier Inc. |
[6] | Bhagirath S. Chauhan and Gurjeet S. Gill. 2014. Ecologically Based Weed Management Strategies. Pp. 1. In: B. S. Chauhan, G. Mahajan (eds.), Recent Advances in Weed Management. Springer Science Business Media New York. |
[7] | Barberi, P.; Cascio Lo, B. Long-term tillage and crop rotation effects and weed seed bank size and composition. Weed Res. 2001, 41, 325–340. |
[8] | Kropff. M. J and Stipper C. J. T. 1991. Use of Ecophysiological Models for Crop-Weed Interference: Relations amongst Weed Density, Relative Time of Weed Emergence, Relative Leaf Area, and Yield Loss. |
[9] | Cardina, J.; Herms, C. P.; Doohan, D. J. Crop rotation and tillage system effects on weed seedbanks. Weed Sci. 2002, 50, 448–460. |
[10] | Terzioğlu, S. A. L. İ. H. and Bozkurt, A. E., 2020. The Weed Flora of Turkish Tea Plantations. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 10 (3), pp. 621-630. |
[11] | Negasu G., Rezene F. and Taye T. 2012. Assessment of Weed Flora Associated to Wheat and Barley at Jibat and Tikur Inchini Districts. Eth. J. of Weed Mgt. 5: 39-50. |
[12] | Addisu M. 2008. Production and Marketing of Tea in Ethiopia. In: Girma, A., Bayetta, B., Tesfaye, S. Endale, T., and Taye, K. eds. Coffee diversity and knowledge, Proceedings of a National Workshop Four Decades of Coffee Research and Development in Ethiopia, 14-17 August 2007, Addis Ababa, Ethiopia, pp. 465-471. |
[13] | Thomas AG. 1985. Weed survey system in Saskatchewean for cereal and oil seed crops. Weed Science 33: 34-43. |
[14] | Stroud A and Parker. 1989. A weed identification guide for Ethiopia. FAO, Rome. |
[15] | Taye T. and Yohhaness L. 1998. Quantitative and qualitative determination of weeds in tef in west Shoa Zone. Arem 4: 46-60. |
[16] | Booth, B. D., Murphy, S. D., and Swanton, C. J. (2003). Weed Ecology in Natural and Agricultural Systems. Wallingford, CT: CABI Publishing. |
[17] | Fried, G., Norton, L. R. and Reboud, X., 2008. Environmental and management factors determining weed species composition and diversity in France. Agriculture, ecosystems & environment, 128 (1-2), pp. 68-76. |
[18] | Lososová, Z., Chytrý, M., Cimalová, S., Kropáč, Z., Otýpková, Z., Pyšek, P. and Tichý, L., 2004. Weed vegetation of arable land in Central Europe: Gradients of diversity and species composition. Journal of Vegetation Science, 15 (3), pp. 415-422. |
APA Style
Tigist Bidira, Tamiru Shimales, Melaku Adissu, Tadesse Eshetu. (2021). Weed Species Dominance and Abundance in Tea (Camellia sinensis L.) Plantation of Southwest Ethiopia. American Journal of Plant Biology, 6(4), 89-94. https://doi.org/10.11648/j.ajpb.20210604.13
ACS Style
Tigist Bidira; Tamiru Shimales; Melaku Adissu; Tadesse Eshetu. Weed Species Dominance and Abundance in Tea (Camellia sinensis L.) Plantation of Southwest Ethiopia. Am. J. Plant Biol. 2021, 6(4), 89-94. doi: 10.11648/j.ajpb.20210604.13
AMA Style
Tigist Bidira, Tamiru Shimales, Melaku Adissu, Tadesse Eshetu. Weed Species Dominance and Abundance in Tea (Camellia sinensis L.) Plantation of Southwest Ethiopia. Am J Plant Biol. 2021;6(4):89-94. doi: 10.11648/j.ajpb.20210604.13
@article{10.11648/j.ajpb.20210604.13, author = {Tigist Bidira and Tamiru Shimales and Melaku Adissu and Tadesse Eshetu}, title = {Weed Species Dominance and Abundance in Tea (Camellia sinensis L.) Plantation of Southwest Ethiopia}, journal = {American Journal of Plant Biology}, volume = {6}, number = {4}, pages = {89-94}, doi = {10.11648/j.ajpb.20210604.13}, url = {https://doi.org/10.11648/j.ajpb.20210604.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpb.20210604.13}, abstract = {Tea (Camellia sinensis L.) is one of the most popular beverage crops. Among tea production constraints, weed is one of the detrimental factors in tea productions in Ethiopia. For the possibility of developing weed management method determining the dominant and abundant weed species is highly important to identify and prioritize the most noxious and prevalent weed that associated with tea production in the country. Weed flora survey was conducted in two different tea estate farms Wushwush and Gumero tea plantations in 2019/20 cropping seasons. The field survey was done according to the quantitative survey method by using 1m2 quadrate size. Weeds present in each quadrate were counted and identified to species level. Weed abundance, dominance, frequency and similarity index was determined at two tea producing locations. A total of 63 weed species were identified from assessed tea plantation farms. The result revealed that 61.3% and 71.9% of broad leaf weed was recorded at Wushwush and Gumaro tea plantation, respectively. Only, two (6.5%) parasitic weed species were recorded at Wushwush. The most prevalent and abundant weed species at Wushwush was Ageratum conyzoides followed by Hydrocotyle americana, whereas, H. americana was the most dominant species at Gumero tea plantation. Generally, from survey results, the weed flora composition was similar in both assessed areas, as its similarity index resulted above 70%. Hence, similar weed management methods should be recommended for both locations.}, year = {2021} }
TY - JOUR T1 - Weed Species Dominance and Abundance in Tea (Camellia sinensis L.) Plantation of Southwest Ethiopia AU - Tigist Bidira AU - Tamiru Shimales AU - Melaku Adissu AU - Tadesse Eshetu Y1 - 2021/12/24 PY - 2021 N1 - https://doi.org/10.11648/j.ajpb.20210604.13 DO - 10.11648/j.ajpb.20210604.13 T2 - American Journal of Plant Biology JF - American Journal of Plant Biology JO - American Journal of Plant Biology SP - 89 EP - 94 PB - Science Publishing Group SN - 2578-8337 UR - https://doi.org/10.11648/j.ajpb.20210604.13 AB - Tea (Camellia sinensis L.) is one of the most popular beverage crops. Among tea production constraints, weed is one of the detrimental factors in tea productions in Ethiopia. For the possibility of developing weed management method determining the dominant and abundant weed species is highly important to identify and prioritize the most noxious and prevalent weed that associated with tea production in the country. Weed flora survey was conducted in two different tea estate farms Wushwush and Gumero tea plantations in 2019/20 cropping seasons. The field survey was done according to the quantitative survey method by using 1m2 quadrate size. Weeds present in each quadrate were counted and identified to species level. Weed abundance, dominance, frequency and similarity index was determined at two tea producing locations. A total of 63 weed species were identified from assessed tea plantation farms. The result revealed that 61.3% and 71.9% of broad leaf weed was recorded at Wushwush and Gumaro tea plantation, respectively. Only, two (6.5%) parasitic weed species were recorded at Wushwush. The most prevalent and abundant weed species at Wushwush was Ageratum conyzoides followed by Hydrocotyle americana, whereas, H. americana was the most dominant species at Gumero tea plantation. Generally, from survey results, the weed flora composition was similar in both assessed areas, as its similarity index resulted above 70%. Hence, similar weed management methods should be recommended for both locations. VL - 6 IS - 4 ER -