International Journal of Advances in Life Science and Technology

Published by: Conscientia Beam
Online ISSN: 2313-8335
Print ISSN: 2412-3803
Quick Submission    Login/Submit/Track

Recent Articles

Histopathology Studies of Selected Organs of Hemichromis Fasciatus [1] Inhabiting Igun Gold Mining and Opa Reservoirs, South Western Nigeria: A Comparative Study

Pages: 1-10
Find References

Finding References

Histopathology Studies of Selected Organs of Hemichromis Fasciatus [1] Inhabiting Igun Gold Mining and Opa Reservoirs, South Western Nigeria: A Comparative Study

Search :
Google Scholor
Search :
Microsoft Academic Search

DOI: 10.18488/journal.72.2020.41.1.10

Obayemi Oluwadamilare Emmanuel , Komolafe Olaniyi Olusola

Export to    BibTeX   |   EndNote   |   RIS

[1]          W. Peters, "Hemichromis fasciatus Peters, 1857. Monthly reports from the Academy of Science, Berlin," p. 403, 1857.

[2]          A. F. Mazon, C. C. C. Cerqueira, E. A. S. Monteiro, and M. N. Fernandes, Acute copper exposure in freshwater fish: Morphological and physiological effect. In VAL, AL. and ALMEIDA-VAL, VMF. Biology of Tropical Fishes. Manaus: INPA, 1999.

[3]          V. Poleksic and V. Mitrovic-Tutundzic, Fish gills as a monitor of sublethal and chronic effects of pollution. In: Müller, R. and Lloyd, R., Eds. Sublethal and chronic effects of pollutants on freshwater fish. Cambridge: Cambridge University Press, 1994.

[4]          B. Raskovic, V. Poleksic, I. Zivic, and M. Spasic, "Histology of carp (Cyprinus carpio, l.) gills and pond water quality in semiintensive production," Bulgarian Journal of Agricultural Science, vol. 16, pp. 253-262, 2010.

[5]          P. Popov, N. Androsova, and G. Anoshin, "Accumulation and distribution of heavy and transition metals in fishes of the Novosibirsk Water Reservoir," Journal of Ichthyology/Voprosy Ikhtiologii, vol. 42, pp. 264-270, 2002.

[6]          I. Golovanova, "Effects of heavy metals on the physiological and biochemical status of fishes and aquatic invertebrates," Inland Water Biology, vol. 1, pp. 93-101, 2008.Available at:

[7]          S. C. H. Mary, D. Bhuvaneswari, and R. Anandan, "Biochemical and histopathological studies on lead nitrate induced toxicity in fresh water fish grass carp (Ctenopharyngodon Idella)," European Journal of Experimental Biology, vol. 5, pp. 24-30, 2015.

[8]          A. Usha Rani, "Cadmium induced bioaccumulation in tissue of freshwater teleost Oreochromis mossambicus," Annals of the New York Academy of Science, vol. 919, pp. 318-320, 2000.

[9]          G. Adami, P. Barbieri, M. Fabiani, S. Piselli, S. Predonzani, and E. Reisenhofer, "Levels of cadmium and zinc in hepatopancreas of reared Mytilus galloprovincialis from the Gulf of Trieste (Italy)," Chemosphere, vol. 48, pp. 671-677, 2002.Available at:

[10]        A. Sehar, A. Shafaqat, S. A. Uzma, F. Mujahid, A. B. Saima, H. Fakhir, and A. Rehan, "Effect of different heavy metal pollution on fish," Research Journal of Chemical and Environmental Sciences, vol. 21, pp. 74-79, 2014.

[11]        F. A. Mohamed, "Histopathological studies on Tilapia zillii and Solea vulgaris from Lake Qarun, Egypt," World Journal of Fish and Marine Sciences, vol. 1, pp. 29-39, 2009.

[12]        M. Drishya, B. Kumari, K. Mohan, A. Ambikadevi, and B. Aswin, "Histopathological changes in the gills of fresh water fish, Catla catla exposed to electroplating effluent," International Journal of Fisheries and Aquatic, vol. 4, pp. 13-16, 2016.

[13]        K. Thayappan, D. Maghil, A. Remy, and S. Narayanasamy, "Histological study of the intestine and liver tissues in the fish Oreochromis mossambicus exposed to cypermethrin," Journal of Modern Biotechnology, vol. 3, pp. 48-54, 2014.

[14]        D. E. Hinton and D. J. Lauren, Liver structural alterations accompanying chronic toxicity in fishes: Potential biomarkers of exposure. In: Biomarkers of Environmental Contaminations (Edited by J.F.  McCarthy and L.R. Shugart). Boca Raton, FL: Lewis Publisher, 1990.

[15]        D. Yildiz, I. Kula, G. Ay, S. Baslar, and Y. Dogan, "Determination of trace elements in the plants of Mt. Bozdag, Izmir, Turkey," Archives of Biological Sciences, vol. 62, pp. 731-738, 2010.Available at:

[16]        O. Lawal and O. Komolafe, "Concentrations of heavy metals in three tilapine species of an abandoned gold Mine reservoir in Igun, Nigeria," Nigerian Journal of Fisheries, vol. 9, pp. 581-585, 2012.

[17]        I. Olabanji and E. Oluyemi, "Preliminary assessment of heavy metal pollution of Opa reservoir, Ile-Ife, southwest Nigeria using Mormyrus rume and Tilapia zillii," Ife Journal of Science, vol. 16, pp. 35-43, 2014.

[18]        D. Paugy, C. Leveque, and G. G. Teugel, The fresh and brackish water fishes of West Africa, IRD ed. vol. 1-2: Museum Scientific Publications, 2003.

[19]        E. A. Adesulu and D. H. J. Sydenham, The freshwater fishes and fisheries of Nigeria. Ibadan: Macmillan Nigeria Publishers Limited, 2007.

[20]        D. Bernet, H. Schmidt, W. Meier, P. Burkhardt‐Holm, and T. Wahli, "Histopathology in fish: Proposal for a protocol to assess aquatic pollution," Journal of Fish Diseases, vol. 22, pp. 25-34, 1999.Available at:

[21]        J. D. Bancroft and H. C. Cook, Manual of histological techniques and their diagnostic application. London: Churchill Livingstone, 1994.

[22]        J. D. Simonato, C. L. Guedes, and C. B. Martinez, "Biochemical, physiological, and histological changes in the neotropical fish Prochilodus lineatus exposed to diesel oil," Ecotoxicology and Environmental Safety, vol. 69, pp. 112-120, 2008.Available at:

[23]        D. H. Evans, Osmotic and ionic regulation, In: The physiology of fishes, edited by D.H. Evans. Boca Raton, FL: CRC, 1993.

[24]        D. Yogita and A. Mishra, "Histopathological alterations in gill and liver anatomy of freshwater, air breathing fish channa punctatus after pesticide hilban (Chlorpyrifos) treatment," Advanced Bioresearch, vol. 4, pp. 57-62, 2013.

[25]        A. Abdullah, "Histological changes induced by zinc ion in the gills of common carp Cyprinus carpio (L.) juveniles," Journal of Agricultural Science, vol. 14, pp. 19-25, 2001.

[26]        A. F. Al-Mansoori, "Histological changes induced by cadmium ion in the Gills, Liver and Intestine of juvenile Carassius carassius (L.)," Basrah Journal of Science, vol. 24, pp. 32-46, 2006.

[27]        D. Au, "The application of histo-cytopathological biomarkers in marine pollution monitoring: A review," Marine Pollution Bulletin, vol. 48, pp. 817-834, 2004.Available at:

[28]        M. Ramesh and K. Nagarajan, "Histopathological changes in the muscle tissue of the fish clarias batrachus exposed to Untreated and Treated Sago Effluent," Advances in Bioscience and Bioengineering, vol. 1, pp. 74-80, 2013.

[29]        H. Kaoud and A. El-Dahshan, "Bioaccumulation and histopathological alterations of the heavy metals in Oreochromis niloticus fish," Nature and Science, vol. 8, pp. 147-156, 2010.

[30]        V. Chavan and D. Muley, "Effect of heavy metals on liver and gill of fish Cirrhinus mrigala," International Journal of Current Microbiology and Applied Sciences, vol. 3, pp. 277-288, 2014.

[31]        A. Naeemi, S. Jamili, N. Shabanipour, A. Mashinchian, and S. Shariati Feizabadi, "Histopathological changes of gill, liver and kidney in Caspian kutum exposed to Linear Alkylbenzene Sulfonate," Iranian Journal of Fisheries Sciences, vol. 12, pp. 887-897, 2013.

[32]        S. Saenphet, W. Thaworn, and K. Saenphet, "Histopathological alterations of the gills, liver and kidneys in Anabas testudineus (Bloch) fish living in an unused lignite mine, li district, Lamphun province, Thailand," Southeast Asian Journal of Tropical Medicine and Public Health, vol. 40, pp. 1121-1126, 2009.

[33]        M. Osman, S. El-Fiky, Y. Soheir, and A. Abeer, "Impact of water pollution on histopathological and electrophoretic characters of Oreochromis niloticus fish," Research Journal of Environmental Toxicology, vol. 3, pp. 9-23, 2009.Available at:

Obayemi Oluwadamilare Emmanuel , Komolafe Olaniyi Olusola (2020). Histopathology Studies of Selected Organs of Hemichromis Fasciatus [1] Inhabiting Igun Gold Mining and Opa Reservoirs, South Western Nigeria: A Comparative Study. International Journal of Advances in Life Science and Technology, 4(1): 1-10. DOI: 10.18488/journal.72.2020.41.1.10
This study examined histopathological alterations in the gills, fillet and liver of Hemichromis fasciatus in Igun reservoir (located in an abandoned goldmine area) compared to those of Opa reservoir. Fresh adult fish samples were collected from Opa and Igun reservoirs and identified in the laboratory. Techniques based on histological analyses were done on the organs and photomicrographs taken using digital binocular compound LED microscope. Epithelial lifting and hypertrophy of lamellae were observed in the gills of H. fasciatus in Opa reservoir compared to rupture of gill epithelium, rupture of chloride cell, fusion, hyperplasia, curling of lamellae in H. fasciatus of Igun reservoir. The fillet of H. fasciatus in Opa and Igun reservoirs revealed splitting and atrophy of muscle bundles. Also, parasite cyst and necrosis was observed in the fillet of H. fasciatus of Igun reservoir compared to degeneration in muscle bundles in the fish of Opa reservoir. Similarly, the liver of H. fasciatus in Igun and Opa reservoirs showed splitting at the wall of central vein, hepatopancreas and liver cells degeneration. Moreover, nucleus hypertrophy were also identified in the liver of H. fasciatus in Opa reservoir compared to vascular congestion in the central vein, bile duct, portal vein and portal artery of H. fasciatus in Igun reservoir. The study therefore concluded that H. fasciatus specimens in Igun reservoir are histopathologically unhealthy compared to those of Opa reservoir.
Contribution/ Originality
This study documents histopathological alteration in the organs of Hemichromis fasciatus collected from an abandoned gold mine reservoir of Igun and Opa reservoir. The study confirmed the effects of established heavy metals pollution in Igun reservoir due to pronounced alterations observed in the fish specimens from Igun reservoir when compared to the relatively unpolluted Opa reservoir.

Effect of Sorghum/Pulses Intercropping on the Productivity of Farmlands in the Moisture Deficit Areas of Belesa District, North West Ethiopia

Pages: 19-32
Find References

Finding References

Effect of Sorghum/Pulses Intercropping on the Productivity of Farmlands in the Moisture Deficit Areas of Belesa District, North West Ethiopia

Search :
Google Scholor
Search :
Microsoft Academic Search

DOI: 10.18488/journal.72.2020.41.19.32

Tesfaye Jorgi Teferi , Masresha Gashaw , Tsedalu Jemberu , Anteneh Adebabay , Tilahun Tadesse , Zenebe G/ Medhin

Export to    BibTeX   |   EndNote   |   RIS

[1]          F. Laekemariam, K. Kibret, T. Mamo, E. Karltun, and H. Gebrekidan, "Physiographic characteristics of agricultural lands and farmers’ soil fertility management practices in Wolaita zone, Southern Ethiopia," Environmental Systems Research, vol. 1, pp. 1-15, 2016.

[2]          M. Kermah, A. C. Franke, S. Adjei-Nsiah, B. D. Ahiabor, R. C. Abaidoo, and K. E. Giller, "Maize-grain legume intercropping for enhanced resource use efficiency and crop productivity in the Guinea savanna of northern Ghana," Field Crops Research, vol. 213, pp. 38-50, 2017. Available at:

[3]          P. I. Massawe, K. M. Mtei, L. K. Munishi, and P. A. Ndakidemi, "Improving soil fertility and crops yield through maize-legumes (Common bean and Dolichos lablab)," Intercropping Systems Journal Agriculture Science, vol. 8, pp. 148-163, 2016. Available at:

[4]          R. W. Brooker, A. E. Bennett, W. F. Cong, T. J. Daniell, T. S. George, P. D. Hallett, C. Hawes, P. P. Iannetta, H. G. Jones, and A. J. Karley, "Improving intercropping: A synthesis of research in agronomy, plant physiology and ecology," New Phytologist, vol. 206, pp. 107-117, 2015. Available at:

[5]          H. Hauggaard-Nielsen, B. Jørnsgaard, J. Kinane, and E. S. Jensen, "Grain legume–cereal intercropping: The practical application of diversity, competition and facilitation in arable and organic cropping systems," Renewable Agriculture and Food Systems, vol. 23, pp. 3-12, 2008. Available at:

[6]          I. Malunga, J. J. Lelei, and W. Makumba, "Effect of mineral nitrogen and legume intercrops on maize (Zea Mays L.) Nitrogen Uptake, Nutrient Use Efficiency and Yields in Chitedze and Zomba, Malawi," Sustain Agriculture Reserch, vol. 7, pp. 64-79, 2017. Available at: 10.5539/sar.v7n1p64.

[7]          F. Hu, Y. Gan, Q. Chai, F. Feng, C. Zhao, A. Yu, Y. Mu, and Y. Zhang, "Boosting system productivity through the improved coordination of interspecific competition in maize/pea strip intercropping," Field Crops Reserches, vol. 198, pp. 50–60, 2016. Available at: doi:10.1016/j.fcr.2016.08.022.

[8]          M. Abate, "Biological benefits of intercropping maize (<i>Zea mays L</i>) with fenugreek, field pea and haricot bean Under Irrigation in <i>Fogera</i> Plain, South <i>Gonder</i> Zone, Ethiopia," Agriculture For. Fish, vol. 7, pp. 19-35, 2018. Available at: 10.11648/j.aff.20180701.14.

[9]          G. M. Legwaila, T. Otshubile, T. Mathowa, and W. Mojeremane, "Effects of intercropping on the performance of sorghum (cv Segaolane) and cowpeas in Botswana," International Journal of Biosciences, vol. 14, pp. 444-453, 2019. Available at:

[10]        H. Gebru, "A review on the comparative advantages of intercropping to mono-cropping system," Journal of Biology, Agriculture and Healthcare, vol. 5, pp. 1-13, 2015.

[11]        C. Thierfelder, P. Chivenge, W. Mupangwa, T. S. Rosenstock, C. Lamanna, and J. X. Eyre, "How climate-smart is conservation agriculture (CA)?–its potential to deliver on adaptation, mitigation and productivity on smallholder farms in southern Africa," Food Security, vol. 9, pp. 537-560, 2017. Available at:

[12]        F. Ofori and W. R. Stern, "Cereal–legume intercropping systems," In Advances in Agronomy; Elsevier, vol. 41, pp. 41–90, 1987.

[13]        M. Tsubo, S. Walker, and H. Ogindo, "A simulation model of cereal–legume intercropping systems for semi-arid regions: I. Model development," Field Crops Research, vol. 93, pp. 10-22, 2005. Available at:

[14]        R. VanBuren, C. M. Wai, X. Wang, J. Pardo, A. E. Yocca, H. Wang, S. R. Chaluvadi, G. Han, D. Bryant, and P. P. Edger, "Exceptional subgenome stability and functional divergence in the allotetraploid Ethiopian cereal teff," Nature Communications, vol. 11, pp. 1-11, 2020. Available at:

[15]        J. Layek, A. Das, T. Mitran, C. Nath, R. S. Meena, G. S. Yadav, B. G. Shivakumar, S. Kumar, and R. Lal, Cereal legume intercropping: An option for improving productivity and sustaining soil health. In Legumes for Soil Health and Sustainable Management; Meena, R.S., Das, A., Yadav, G.S., Lal, R., Eds. Singapore: Springer Singapore, 2018.

[16]        K. Bybee-Finley and M. R. Ryan, "Advancing intercropping research and practices in industrialized agricultural landscapes," Agriculture, vol. 8, pp. 1-24, 2018.

[17]        NGZARDD NGZARDD (North Gondar zone Agricultural and Rural Development Department), "Annualreport of office of agriculture and natural resources development, Gondar, Amhara(Unpublished)," 2010.

[18]        R. Mead and W. Willey, "The concept of a “Land Equivalent Ratio” and advantages in yields from intercropping," Exp. Agriculture, vol. 16, pp. 217-228, 1980. .

[19]        C. Hiebsch and R. McCollum, "Area-time equivalency ratio: A method for evaluating the productivity of intercrops," Agronomy Journal, vol. 79, pp. 15-22, 1987. Available at:

[20]        B. Zemichael and N. Dechassa, "Effect of mineral fertilizer, farmyard manure, and compost on yield of bread wheat and selected soil chemical properties in Enderta District, Tigray Regional State, Northern Ethiopia," East African Journal of Sciences, vol. 12, pp. 29-40, 2018.

[21]        S. S. Bargali, K. Padalia, and K. Bargali, "Effects of tree fostering on soil health and microbial biomass under different land use systems in the Central Himalayas," Land Degradation & Development, vol. 30, pp. 1984-1998, 2019. Available at:

[22]        B. Lulie, W. Worku, and S. Beyene, "Determinations of haricot bean (Phaseolus vulgaris L.) planting density and spatial arrangement for staggered intercropping with Maize (Zea mays L.) at Wondo Genet, Southern Ethiopia," Academic Research Journal of Agricultural Science Reserch, vol. 4, pp. 297-320, 2016.

[23]        A. Alemu, A. Nebiyu, and M. Getachew, "Growth and yield of common bean (Phaseolus vulgaris L.) cultivars as influenced by rates of phosphorus at Jimma, Southwest Ethiopia," Journal of Agricultural Biotechnology and Sustainable Development, vol. 10, pp. 104-115, 2018. Available at:

[24]        D. Pal and Y. G. Selassie, "Soil physicochemical properties and their significance for sustainable sugarcane production in Kesem Allaideghe plains irrigation project area, Eastern Ethiopia," Ethiopian Journal of Science and Technology, vol. 11, pp. 19-28, 2018. Available at:

[25]        T. Balemi and T. Tufa, "Agronomic practices of maize and farm nutrient Status in Bako Tibe District, West Shoa Zone, Ethiopia: Lesson from Agronomic Panel Survey," International Journal of Sustainable Agricultural Research, vol. 6, pp. 61-78, 2019. Available at:

[26]        C. Ravier, J.-M. Meynard, J.-P. Cohan, P. Gate, and M.-H. Jeuffroy, "Early nitrogen deficiencies favor high yield, grain protein content and N use efficiency in wheat," European Journal of Agronomy, vol. 89, pp. 16-24, 2017. Available at:

[27]        K. Lamessa, J. Sharma, and T. Tessema, "Influence of cowpea and soybean intercropping pattern in Sorghum on Striga (Striga hermonthica) Infestation and system productivity at Mechara, Eastern Ethiopia," J Biol Agric Healthc, vol. 6, pp. 72-81, 2016.

[28]        B. Sibhatu, "Evaluation of cowpea plant density and nitrogen fertilizer for productivity of sorghum/Cowpea Intercrops at Abergelle, Northern Ethiopia," Evaluation, vol. 6, pp. 112-121, 2016.

[29]        V. Singh, G. Singh, V. K. Pandey, M. Kumar, and A. Singh, "Performance of chickpea-mustard intercropping on yield and economics of chickpea and mustard crop under different fertility management and various row combinations," International Journal Curr. Microbiol. App. Science, vol. 8, pp. 236-249, 2019. Available at:

[30]        G. W. Lesoing and C. A. Francis, "Strip intercropping effects on yield and yield components of corn, grain sorghum, and soybean," Agronomy Journal, vol. 91, pp. 807-813, 1999. Available at:

[31]        M. A. Iqbal, "Comparative performance of forage cluster bean accessions as companion crops with sorghum under varied harvesting times," Bragantia, vol. 77, pp. 476-484, 2018. Available at:

[32]        B. E. Mthembu, T. M. Everson, and C. S. Everson, "Intercropping maize (Zea mays L.) with lablab (Lablab purpureus L.) for sustainable fodder production and quality in smallholder rural farming systems in South Africa," Agroecology and Sustainable Food Systems, vol. 42, pp. 362-382, 2018. Available at:

[33]        A. Zerihun, J. Sharma, D. Nigussie, and K. Fred, "The effect of integrated organic and inorganic fertilizer rates on performances of soybean and maize component crops of a soybean/maize mixture at Bako, Western Ethiopia," African Journal of Agricultural Research, vol. 8, pp. 3921-3929, 2013.

[34]        M. Herrero, P. K. Thornton, A. Bernués, I. Baltenweck, J. Vervoort, J. van de Steeg, S. Makokha, M. T. van Wijk, S. Karanja, and M. C. Rufino, "Exploring future changes in smallholder farming systems by linking socio-economic scenarios with regional and household models," Global Environmental Change, vol. 24, pp. 165-182, 2014. Available at:

[35]        I. Singh and N. Stoskopf, "Harvest index in cereals 1," Agronomy Journal, vol. 63, pp. 224-226, 1971.

[36]        T. Gutu, T. Tana, and N. Geleta, "Effect of varieties and population of intercropped soybean with maize on yield and yield components at haro sabu, Western Ethiopia," Science, Technology and Arts Research Journal, vol. 4, pp. 31-39, 2015. Available at:

[37]        L. Hidoto, G. Loha, and T. Workayehu, "Effect of barley (Hordeum vulgare L.)/faba bean (Vicia fabae L.) intercropping on productivity and land use efficiency in highlands of Southern Ethiopia," Journal of Biology, Agriculture and Healthcare, vol. 5, pp. 103-107, 2015.

[38]        G. Gebrekidan, T. Teklebrhan, and Z. Tesfay, "Growth performance and carcass traits of begait lambs fed diets of cowpea (Vigna unguiculata) Hay, Wheat Bran and their mixtures," Journal of Agriculture and Ecology Research International, vol. 20, pp. 1-12, 2019.

[39]        Y. Bitew, "Influence of small cereal intercropping and additive series of seed proportion on the yield and yield component of lupine (Lupinus Spp.) in North Western Ethiopia," Agriculture, Forestry and Fisheries, vol. 3, pp. 133-141, 2014. Available at:

[40]        F. Nourbakhsh, A. Koocheki, and M. N. Mahallati, "Investigation of biodiversity and some of the ecosystem services in the intercropping of Corn, Soybean and Marshmallow," International Journal of Plant Production, vol. 13, pp. 35-46, 2019. Available at:

[41]        K. Reddy, P. Visser, M. Klaij, and C. Renard, "The effects of sole and traditional intercropping of millet and cowpea on soil and crop productivity," Experimental Agriculture, vol. 30, pp. 83-88, 1994. Available at:

[42]        P. Khonde, K. Tshiabukole, M. Kankolongo, S. Hauser, M. Djamba, K. Vumilia, and K. Nkongolo, "Evaluation of yield and competition indices for intercropped eight maize varieties, soybean and cowpea in the zone of Savanna of South-West RD Congo," OALib, vol. 05, pp. 1–18, 2018. Available at: doi:10.4236/oalib.1103746.

[43]        A. Assefa, T. Tana, N. Dechassa, Y. Dessalgn, K. Tesfaye, and C. Wortmann, "Maize-common bean/lupine intercrop productivity and profitability in maize-based cropping system of Northwestern Ethiopia," Ethiopian Journal of Science and Technology, vol. 9, pp. 69-85, 2016. Available at:

[44]        P. Ghosh, "Growth, yield, competition and economics of groundnut/cereal fodder intercropping systems in the semi-arid tropics of India," Field crops research, vol. 88, pp. 227-237, 2004. Available at:

[45]        A. Addo-Quaye, A. Darkwa, and G. Ocloo, "Yield and productivity of component crops in a maize-soybean intercropping system as affected by time of planting and spatial arrangement," ARPN Journal of Agricultural and Biological Science, vol. 6, pp. 50-57, 2011.

No any video found for this article.
Tesfaye Jorgi Teferi , Masresha Gashaw , Tsedalu Jemberu , Anteneh Adebabay , Tilahun Tadesse , Zenebe G/ Medhin (2020). Effect of Sorghum/Pulses Intercropping on the Productivity of Farmlands in the Moisture Deficit Areas of Belesa District, North West Ethiopia. International Journal of Advances in Life Science and Technology, 4(1): 19-32. DOI: 10.18488/journal.72.2020.41.19.32
Intercropping is considered for increasing and stability of yield per unit land. In order to study the effects of different intercropping arrangements on sorghum and different pulses yield and to find the land use advantage in the intercropping system, an experiment was carried out based on a randomized complete block design with nine treatments and three replications at East and West Belesa in 2017. The treatments were as follows: sole cropping of sorghum, sole cropping of mung bean, haricot bean, and three intercropping patterns of sorghum: mungbean, sorghum: haricot bean with ratios 1:1, 1:2, 2:1 respectively. The results showed that the maximum grain yield was obtained from both species in monoculture treatment. Land equivalent ratio (LER) in all evaluated treatments was more than one. The highest land equivalent ratio (1.54) was obtained in treatment (1:1sorghum-haricot bean intercropping). Also, the highest intercropping advantage (4837 and 4601) was related to treatment (1:2 and 1:1 sorghum-haricot bean intercropping) respectively. ATER 31% advantage in 1:1 sorghum-haricot bean combinations whilst 2:1 and 1:2 sorghum-mungbean combinations showed 90-95 % disadvantages. The result of economic analysis maximum net benefit (ETB35967) was obtained at 1:1sorghum-haricot bean row ratio. Thus, according to the productivity and economic evaluation indices, a 1:1 sorghum-haricot bean row ratio is recommended for East and West Belesa districts and similar conditions with this study.
Contribution/ Originality
This study contributes to the impacts of sorghum /pulse intercropping for the different farming systems to increase production and productivity for moisture deficit areas.

Comparable Investigation for Rainfall Forecasting using Different Data Mining Approaches in Sulaymaniyah City in Iraq

Pages: 11-18
Find References

Finding References

Comparable Investigation for Rainfall Forecasting using Different Data Mining Approaches in Sulaymaniyah City in Iraq

Search :
Google Scholor
Search :
Microsoft Academic Search

DOI: 10.18488/journal.72.2020.41.11.18

Sherko H. Murad , Yusra Mohammed M. Salih

Export to    BibTeX   |   EndNote   |   RIS

[1]          N. Mishra, H. K. Soni, S. Sharma, and A. K. Upadhyay, "Development and analysis of artificial neural network models for rainfall prediction by using time-series data," International Journal of Intelligent Systems and Applications, vol. 10, pp. 16–23, 2018. Available at: 10.5815/ijisa.2018.01.03.

[2]          D. Chauhan and J. Thakur, "Data mining techniques for weather prediction: A review," International Journal on Recent and Innovation Trends in Computing and Communication, vol. 2, pp. 2184-2189, 2014. Available at:

[3]          F. Sheikh, S. Karthick, D. Malathi, J. S. Sudarsan, and C. Arun, "Analysis of data mining techniques for weather prediction," Indian Journal of Science and Technology, vol. 9, pp. 1-9, 2016.

[4]          S. Zainudin, D. S. Jasim, and A. A. Bakar, "Comparative analysis of data mining techniques for Malaysian rainfall prediction," International Journal on Advanced Science, Engineering Information Technology, vol. 6, pp. 1148-1153, 2016. Available at:

[5]          S. Aftab, M. Ahmad, N. Hameed, M. S. Bashir, I. Ali, and Z. Nawaz, "Rainfall prediction in Lahore City using data mining techniques," International Journal of Advanced Computer Science and Applying, vol. 9, pp. 254–260, 2018.

[6]          V. B. Nikam and B. Meshram, "Modeling rainfall prediction using data mining method: A Bayesian approach," in Proceeding International Conference on Computational Intelligence, Modelling and Simulation, 2013, pp. 132-136.

[7]          K. Abhishek, A. Kumar, R. Ranjan, and S. Kumar, "A rainfall prediction model using artificial neural network," in Proceeding 2012 IEEE Control Syst. Grad. Res. Colloquium, ICSGRC 2012, no. Icsgrc, 2012, pp. 82-87.

[8]          R. V. Ramana, B. Krishna, S. Kumar, and N. Pandey, "Monthly rainfall prediction using wavelet neural network analysis," Water Resources Management, vol. 27, pp. 3697-3711, 2013. Available at:

[9]          J. Joseph and T. Ratheesh, "Rainfall prediction using data mining techniques," International Journal of Computer Applications, vol. 83, pp. 11-15, 2013. Available at:

[10]        M. Narvekar and P. Fargose, "Daily weather forecasting using artificial neural network," International Journal of Computer Applications, vol. 121, pp. 9-13, 2015. Available at:

[11]        R. Sukanya and K. Prabha, "Comparative analysis for prediction of rainfall using data mining techniques with artificial neural network," International Journal of Computational Science and Engineering, vol. 5, pp. 1–5, 2017.

[12]        S. D. Jadhav and H. Channe, "Comparative study of K-NN, naive Bayes and decision tree classification techniques," International Journal of Science and Research (IJSR), vol. 5, pp. 1842-1845, 2016. Available at:

[13]        Y. M. M. Salih, A. Kattan, and T. Çevik, "Detection of motorway disorders by processing and classification of smartphone signals using artificial neural networks," International Journal of Natural Sciences Research, vol. 4, pp. 56-67, 2016. Available at:

No any video found for this article.
Sherko H. Murad , Yusra Mohammed M. Salih (2020). Comparable Investigation for Rainfall Forecasting using Different Data Mining Approaches in Sulaymaniyah City in Iraq. International Journal of Advances in Life Science and Technology, 4(1): 11-18. DOI: 10.18488/journal.72.2020.41.11.18
Weather prediction is a critical assumption in weather forecasting. Weather prediction and has been one of the major scientifically and technologically demanding issues worldwide in the last century. The most significant parameter in a hydrological model is Rainfall. The meticulous Rainfall forecasting is one of the major demanding in the atmospheric research. The factors such as pressure, temperature, humidity, wind speed, mean sea-level etc. are used for rainfall forecasting. This study evaluates multiple classifiers such as Artificial Neural Network (ANN), Naïve Bayes and Support Vector Machine for rainfall prediction in Sulaymaniyah city and describes which one is most suitable to predict the precipitation. The dataset has been collected from weather forecast department in Sulaymaniyah city. Pre-processing technique such as cleaning and normalization processes is used for effective prediction. The data mining approaches are evaluated and the Performance is analyzed regarding precision, recall and f-measure with numerous ratios of training and test data.
Contribution/ Originality
This paper contributes the first logical analysis for the rainfall forecasting in Sulaymaniyah city. The dataset collection is based on the local forecasting department, Weather Forecast department, in the city. This study tests several supervised learning approaches including (ANN), (SVM), and (NB) to perform a comparative analysis concerning their ability for rainfall prediction in the region.