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

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DOI: 10.18488/journal.72.2020.41.1.10

Obayemi Oluwadamilare Emmanuel , Komolafe Olaniyi Olusola

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

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DOI: 10.18488/journal.72.2020.41.19.32

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

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

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DOI: 10.18488/journal.72.2020.41.11.18

Sherko H. Murad , Yusra Mohammed M. Salih

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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.