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Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia

Received: 6 October 2016    Accepted: 20 October 2016    Published: 16 November 2016
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Abstract

The weed survey was carried out in 2012 and 2013 cropping season on eight to ten upland rice farmers’ fields respectively in Bambasi, Ethiopia to determine weed prevalence, species composition and distribution. A quadrant size of 0.25 m2 were used in a systematic sampling technique and a total of 21 weed species belonging to 12 families were identified and counted. The most dominant weed family based on the number of species recorded was poaceae (grasses) which comprized 5 species. during both cropping season survey, most (66.67 %) of the species were broad leaved herbaceous plant. weed species composition was analyzed using quantitative means and most frequent weed species in upland rice field during 2012 cropping season was cyprus rotondus (100%) followed by Ageranthum conizoid, Commelina subulata, Digitaria abisynica, Elusin indica and Leucas martinicensis. The dominance range during this year was 0.09 to 54.59% and Ageranthum conizoid accounted 54.59% of the species which was followed by Cyprus rotondus, Spergula arvensis and Commelina subulata. during 2013 cropping season Ageranthum conizoid and Polygonum nepalense were the most frequently (100%) occurred weed species followed by Cyprus rotondus, Commelina subulata, Digitaria scalarum, Elusina indica, Galensoga parviflora. The dominant weed species during this year (2013) was Polygonum nepalense (20%) followed by Ageranthum conizoid and Cyprus rotondus, Commelina subulata and Leucas martinicensis dominance level range between 16.36% and 4.02% respectively. The prevalence and density of most species on upland rice during 2012 and 2013 cropping season was similar. Moreover, similarity index between the 2012 and 2013 surveys were higher (100%). Thus, the weed control and management research strategy should consider the dominant and frequent weed species of both cropping seasons and weed flora composition.

Published in Ecology and Evolutionary Biology (Volume 1, Issue 3)
DOI 10.11648/j.eeb.20160103.12
Page(s) 53-56
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), 2024. Published by Science Publishing Group

Keywords

Rice, Weed Species Composition, Quantitative

References
[1] Akobundu I O. (1981). Weed control in direct-seeded lowland rice under poor water control conditions. Weed Research: 21: 273–278.
[2] Ann S. and Chris P. (1989). A weed identification guide for Ethiopia. Food andAgricultural Organization, Rome.
[3] Benishangul Gumuz Regional State Beauro of Agriculture and Rural Development (BGBoARD) (2011). Crop production and productivity in BGRS.
[4] European Cooperative for Rural Development (EUCORD) (2012). Rice Sector Development in Eastern Africa, a desk study prepared for the Common Fund for Commodities.
[5] Food and Agriculture Organisation (FAO) (2004). Rice is life: FAO. http://www/fao.org/newsroom/en/focus/200436887/indea.html.
[6] Ministry of Agriculture and Rural Development (2010). National Rice Research and Development Strategy of Ethiopia.
[7] The Federal Democratic Republic of Ethiopia, Ministry of Agriculture and Rural Development, Addis Ababa, Ethiopia.
[8] Mulugeta Seyoum and Heluf Gebrekidan (2005). Effects of N and P fertilizers on yield and N uptake of flooded rice grown on Vertisols of Fogera Plain of Ethiopia; Indian Journal of Fertilizers. 1(1): 47–51.
[9] Pohlan J. (1984). Arable Farming. 314 Weed Control. Institute of Tropical Agriculture, Plant Production Section, German Democratic Republic.
[10] Savary S, Srivastave RK, Singh HM, Elazegui FA (1997) A characterization of rice pests and quantification of yield losses in the rice-wheat system of India. Crop Protec. 16 (4): 387-398
[11] Taye Tessema, Yohannes Lemma and Belayneh Admasu (1998). Qualitative and quantitative determination of weed occurrence in wheat in west Shewa Zone of Ethiopia; Tenth regional wheat workshop for Eastern, Central and Southern Africa; 1 (1) 160-172.
[12] Thomas AG (1985). Weed survey system used in Saskatchewan for cereals and oilseed crops. Weed Sci. 33: 34-43.
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  • APA Style

    Assefa Gidesa, Theodrose Tadesse, Alemu Dabi. (2016). Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia. Ecology and Evolutionary Biology, 1(3), 53-56. https://doi.org/10.11648/j.eeb.20160103.12

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    ACS Style

    Assefa Gidesa; Theodrose Tadesse; Alemu Dabi. Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia. Ecol. Evol. Biol. 2016, 1(3), 53-56. doi: 10.11648/j.eeb.20160103.12

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    AMA Style

    Assefa Gidesa, Theodrose Tadesse, Alemu Dabi. Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia. Ecol Evol Biol. 2016;1(3):53-56. doi: 10.11648/j.eeb.20160103.12

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  • @article{10.11648/j.eeb.20160103.12,
      author = {Assefa Gidesa and Theodrose Tadesse and Alemu Dabi},
      title = {Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia},
      journal = {Ecology and Evolutionary Biology},
      volume = {1},
      number = {3},
      pages = {53-56},
      doi = {10.11648/j.eeb.20160103.12},
      url = {https://doi.org/10.11648/j.eeb.20160103.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20160103.12},
      abstract = {The weed survey was carried out in 2012 and 2013 cropping season on eight to ten upland rice farmers’ fields respectively in Bambasi, Ethiopia to determine weed prevalence, species composition and distribution. A quadrant size of 0.25 m2 were used in a systematic sampling technique and a total of 21 weed species belonging to 12 families were identified and counted. The most dominant weed family based on the number of species recorded was poaceae (grasses) which comprized 5 species. during both cropping season survey, most (66.67 %) of the species were broad leaved herbaceous plant. weed species composition was analyzed using quantitative means and most frequent weed species in upland rice field during 2012 cropping season was cyprus rotondus (100%) followed by Ageranthum conizoid, Commelina subulata, Digitaria abisynica, Elusin indica and Leucas martinicensis. The dominance range during this year was 0.09 to 54.59% and Ageranthum conizoid accounted 54.59% of the species which was followed by Cyprus rotondus, Spergula arvensis and Commelina subulata. during 2013 cropping season Ageranthum conizoid and Polygonum nepalense were the most frequently (100%) occurred weed species followed by Cyprus rotondus, Commelina subulata, Digitaria scalarum, Elusina indica, Galensoga parviflora. The dominant weed species during this year (2013) was Polygonum nepalense (20%) followed by Ageranthum conizoid and Cyprus rotondus, Commelina subulata and Leucas martinicensis dominance level range between 16.36% and 4.02% respectively. The prevalence and density of most species on upland rice during 2012 and 2013 cropping season was similar. Moreover, similarity index between the 2012 and 2013 surveys were higher (100%). Thus, the weed control and management research strategy should consider the dominant and frequent weed species of both cropping seasons and weed flora composition.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Quantitative Determination of Weed Occurrence on Upland Rice of Bambasi, Ethiopia
    AU  - Assefa Gidesa
    AU  - Theodrose Tadesse
    AU  - Alemu Dabi
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    T2  - Ecology and Evolutionary Biology
    JF  - Ecology and Evolutionary Biology
    JO  - Ecology and Evolutionary Biology
    SP  - 53
    EP  - 56
    PB  - Science Publishing Group
    SN  - 2575-3762
    UR  - https://doi.org/10.11648/j.eeb.20160103.12
    AB  - The weed survey was carried out in 2012 and 2013 cropping season on eight to ten upland rice farmers’ fields respectively in Bambasi, Ethiopia to determine weed prevalence, species composition and distribution. A quadrant size of 0.25 m2 were used in a systematic sampling technique and a total of 21 weed species belonging to 12 families were identified and counted. The most dominant weed family based on the number of species recorded was poaceae (grasses) which comprized 5 species. during both cropping season survey, most (66.67 %) of the species were broad leaved herbaceous plant. weed species composition was analyzed using quantitative means and most frequent weed species in upland rice field during 2012 cropping season was cyprus rotondus (100%) followed by Ageranthum conizoid, Commelina subulata, Digitaria abisynica, Elusin indica and Leucas martinicensis. The dominance range during this year was 0.09 to 54.59% and Ageranthum conizoid accounted 54.59% of the species which was followed by Cyprus rotondus, Spergula arvensis and Commelina subulata. during 2013 cropping season Ageranthum conizoid and Polygonum nepalense were the most frequently (100%) occurred weed species followed by Cyprus rotondus, Commelina subulata, Digitaria scalarum, Elusina indica, Galensoga parviflora. The dominant weed species during this year (2013) was Polygonum nepalense (20%) followed by Ageranthum conizoid and Cyprus rotondus, Commelina subulata and Leucas martinicensis dominance level range between 16.36% and 4.02% respectively. The prevalence and density of most species on upland rice during 2012 and 2013 cropping season was similar. Moreover, similarity index between the 2012 and 2013 surveys were higher (100%). Thus, the weed control and management research strategy should consider the dominant and frequent weed species of both cropping seasons and weed flora composition.
    VL  - 1
    IS  - 3
    ER  - 

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Author Information
  • Department of Crop Protection, Assosa Agricultural Research Center, Assosa, Ethiopia

  • Department of Crop Protection, Assosa Agricultural Research Center, Assosa, Ethiopia

  • Department of Plant Breeding, Assosa Agricultural Research Center, Assosa, Ethiopia

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