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Morphological and microsatellite DNA diversity of Nigerian indigenous sheep

Journal of Animal Science and Biotechnology 2013年第1期4卷 18-33页

作者： brilliant o agaviezor Sunday o Peters Mufliat A Adefenwa Abdulmojeed Yakubu olufunmilayo A Adebambo Michael o ozoje Christian oN Ikeobi Matthew Wheto oyeyemi o Ajayi Samuel A Amusan oludotun J Ekundayo Timothy M Sanni Moses okpeku Gbolabo o onasanya Marcos De Donato Babatunde M Ilori Kadir Kizilkaya Ikhide G Imumorin Department of Animal Breeding and Genetics University of Agriculture Department of Animal Science and Fisheries University of Port Harcourt Dept of Animal Science Cornell University Dept of Animal Science Berry College Department of Cell Biology and Genetics University of Lagos Department of Animal Science Nasarawa State University Dept of Livestock Production Niger Delta University Department of Animal Science Adnan Menderes University

Background： Sheep is important in the socio-economic lives of people around the world. It is estimated that more than half of our once common livestock breeds are now endangered. Since genetic characterization of Nigerian sheep is still lacking, we analyzed ten morphological traits on 402 animals and 15 microsatellite DNA markers in 384 animals of the 4 Nigerian sheep breeds to better understand genetic diversity for breeding management and germplasm conservation. Results： Morphological traits of Uda and Balami were significantly （P 〈 0.05） higher than Yankasa, which were both higher than West African Dwarf （WAD） sheep. Stepwise discriminant analysis showed tail length, rump height, chest girth, ear length and chest depth as the most discriminating variables for classification. Mahalanobis distances show the least differentiation between Uda and Balami and the largest between WAD and Balami sheep. While 93.3% of WAD sheep were correctly assigned to their source genetic group, 63.9% of Yankasa, 61.2% of Balami and 45.2% of Uda were classified correctly by nearest neighbour discriminant analysis. The overall high Polymorphism Information Content （PIC） of all microsatellite markers ranged from 0.751 to 0.927 supporting their use in genetic characterization. Expected heterozygosity was high for all loci （0.783 to 0.93）. Mean heterozygote deficiency across all populations （0.17] to 0.534） possibly indicate significant inbreeding （P 〈 0.05）. Mean values for FST, FIT and F^s statistics across all loci were 0.088, 0.394 and 0.336 respectively. Yankasa and Balami are the most closely related breeds （DA = 0.184） while WAD and Balami are the farthest apart breeds （DA-- 0.665）, which is coincident with distance based on morphological analysis and population structure assessed by STRUCTURE. Conclusions： These results suggest that within-breed genetic variation in Nigerian sheep is higher than between-breeds and may be a valuable tool for genetic improvement and conservation. The

关键词： Discriminant analysis Genetic distance Microsatellite DNA Morphological traits Nigerian sheep

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Novel intron 2 polymorphism in the melanophilin gene is in Hardy-Weinberg equilibrium and is not associated with coat color in goats

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open Journal of Genetics 2013年第3期3卷 195-200页

作者： Mufliat A. Adefenwa brilliant o. agaviezor Sunday o. Peters Matthew Wheto oludotun J. Ekundayo Moses okpeku Bola o. oboh Khalid o. Adekoya Christian o. N. Ikeobi Marcos De Donato Bolaji N. Thomas Ikhide G. Imumorin Department of Animal Breeding and Genetics University of Agriculture Abeokuta Nigeria Department of Animal Science Cornell University Ithaca USA Department of Biomedical Sciences Rochester Institute of Technology Rochester USA Department of Cell Biology and Genetics University of Lagos Lagos Nigeria Department of Livestock Production Niger Delta University Amassomma Nigeria

Pigmentation plays important adaptation and physiological efficiency roles in animals. In the sequence of a 648 bp fragment representing intron 1, exon 2, and part of intron 2 of the MLPH mammalian pigmentation gene, we identified a novel g.469C> G mutation in intron 2, and genotyped it in 266 Nigerian goats using PCR-RFLP analysis. The C allele had frequencies of 0.9625, 0.9804 and 0.97405 in West African Dwarf (WAD),Sahel(SH) and Red Sokoto (RS) breeds, respectively. The G allele was the highest in WAD (0.0375), followed by RS (0.02595), and then SH (0.0196). overall low FIS and FST and high Nm values demonstrate little differentiation within and among the goat breeds at this intronic locus. This g.469C> G polymorphism in MLPH gene is the first in any goat breed and also first in Nigerian goats. our results suggest that this intronic SNP locus is maintained at Hardy-Weinberg equilibrium (P of association of this SNP with coat color may indicate its neutrality in goats.

关键词： Coat Color Goats Melanophilin Nigeria Intron 2 SNP PCR-RFLP

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Estimation of Land Surface Temperature from Landsat-8 oLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

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Advances in Remote Sensing 2021年第4期10卷 131-149页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba olipa S. Mwakimi Tomas Ayala-Silva Diana B. Frimpong Zhu H. Ning Abena B. Asare-Ansah Jacob B. Annan Judith oppong Priscilla M. Loh Faustina owusu Valentine Jeruto brilliant M. Petja Ronald okwemba Joyce McClendon-Peralta Caroline o. Akinrinwoye Hermeshia J. Mosby Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Water Research Commission (WRC) Private Bag X03 Gezina South Africa

This study employs Landsat-8 operational Land Imager (oLI) thermal infrared satellite data to compare land surface temperature of two cities in Ghana: Accra and Kumasi. These cities have human populations above 2 million and the corresponding anthropogenic impact on their environments significantly. Images were acquired with minimum cloud cover (om both dry and rainy seasons between December to August. Image preprocessing and rectification using ArcGIS 10.8 software were used. The shapefiles of Accra and Kumasi were used to extract from the full scenes to subset the study area. Thermal band data numbers were converted to Top of Atmospheric Spectral Radiance using radiance rescaling factors. To determine the density of green on a patch of land, normalized difference vegetation index (NDVI) was calculated by using red and near-infrared bands i.e. Band 4 and Band 5. Land surface emissivity (LSE) was also calculated to determine the efficiency of transmitting thermal energy across the surface into the atmosphere. Results of the study show variation of temperatures between different locations in two urban areas. The study found Accra to have experienced higher and lower dry season and wet season temperatures, respectively. The temperature ranges corresponding to the dry and wet seasons were found to be 21.0985ont-family:;" "="">ont-family:Verdana;">olor:#4F4F4F;font-family:Simsun;font-

关键词： Remote Sensing Land Surface Temperature (LST) Atmospheric Spectral Radiance Normalized Difference Vegetation Index (NDVI) Land Surface Emissivity (LSE) Landsat 8 Satellite Ghana

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Time Series Analysis on Selected Rainfall Stations Data in Louisiana Using ARIMA Approach

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open Journal of Statistics 2021年第5期11卷 655-672页

作者： Yaw A. Twumasi Jacob B. Annan Edmund C. Merem John B. Namwamba Tomas Ayala-Silva Zhu H. Ning Abena B. Asare-Ansah Judith oppong Diana B. Frimpong Priscilla M. Loh Faustina owusu Lucinda A. Kangwana olipa S. Mwakimi brilliant M. Petja Ronald okwemba Caroline o. Akinrinwoye Hermeshia J. Mosby Joyce McClendon-Peralta Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research Commission (WRC) Private Bag X03 Gezina South Africa

Precipitation is very important for both the environment and its inhabitants. Agricultural activities mostly depend on precipitation and its availability. Therefore, the ability to predict future precipitation values at specific stations is key for environmental and agricultural decision making. This research developed Autoregressive Integrated Moving Average (ARIMA) models for selected stations with Integrated component and Autoregressive Moving Average (ARMA) for selected stations without Integrated component at Louisiana State. The ARIMA module is represented as ARIMA(p, d, q)(P,D,Q). The selected lag order for the Autoregressive (AR) component is represented with p and P for seasonal AR component, while the integrated form (number of times data were differenced) is d and D for seasonal differencing, and the Moving Average (MA) lag order is q and Q for seasonal MA component. Data from 1950 to 2020 were employed in this research. Results of the analysis indicated that Baton Rouge (ARIMA (0,1,1) (0,0,2)12), Abbeville (ARMA (0,0,1) (0,0,2)12), Monroe Regional (ARMA (0,0,1) (0,0,0)12), New Orleans Airport (ARMA (1,0,0) (0,0,2)12), Alexandria (ARMA (1,0,1) (0,0,0)12), Logansport (ARIMA (0,1,2) (0,0,0)12), New Orleans Audubon (ARMA (1,0,0) (0,0,0)12), Lake Charles Airport (ARMA (2,0,2) (0,0,0)

关键词： Precipitation ARIMA Models Time Series Lowess Louisiana

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