Browsing by Author "Adedibu, I.I."
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Item Genetic diversity and relationship of Nigerian Muscovy duck populations(Korean Society of Animal Breeding and Genomics., 2021) Sola-Ojo, F.E.; Adeniyi, C.A.; Lameck, A.O.; Yusuff, O.A.; Momoh, E.O.; Adekoya, A.R.; Adedibu, I.I.Muscovy duck (Caraina Moschata) is an economically important species due its unique meat taste and low-caloric content. It is one of the domestic poultry species in Nigeria as it ensures food security to the rural sectors. Rearing of Muscovy is concentrated in some part of the country due to its peculiar nature as water loving poultry species and peoples belief. In this study, we analyzed the genetic diversity and relationship of Muscovy duck populations collected from 15 different locations where Muscovy duck lovers resides in four states (Kaduna, Kwara, Niger and Oyo) of Nigeria based on Nuclear DNA Cytochrome P450 Family 2 Subfamily U Member 1 (CYP2U1) gene. A total of 48 polymorphic sites consisting of substitutions with 33 singletons variables was observed. The 82 sequences were assigned into 32 distinct haplotypes. Haplotype diversity was 0.7925. The Phylogenetic analysis showed close clustering across all locations with the exception of BART 495, PAT 35 and KEY 764 individuals. The maternal genetic structure likely suggests the extensive genetic intermixing within the country. In addition, the differentiation of BART 495, PAT 35 and KEY 764 may be due to a certain demographic history and/or artificial selection that shaped its haplotype profile. The current data on Nigerian Muscovy duck genetic diversity based on nuclear DNA CYP2U1 gene do not permit us to make further conclusions; therefore, more research evidence from genetics and archaeology is still required.Item Repeatability estimates of growth traits in arbor acre broiler chickens fed graded level of probiotics enhanced Moringa oleifera seed meal diets(Animal Science Association of Nigeria (ASAN), 2017) Sola-Ojo, F.E.; Fayeye, T.R.; Adedibu, I.I.; Yusuff, A.T.; Badmos, A.A.; Olarinoye, W.O.Two hundred (200) Arbor Acre broiler chickens fed four different diets containing 0 (control), 4, 6, and 8% (unconventional) probiotics enhanced Moringa Oleifera seed meal (PEMOSM) were used to estimate repeatability (R) of growth traits during the starter (0-4 weeks) and finisher phases (5-7weeks). The traits considered were body weight, body length, thigh length, drumstick length, shank length, body girth, wing length and keel length. The results showed low to moderate and high R estimates based on the diet fed to chickens and feeding phase (starter and finisher). Moderate to high R (0.47 to 0.99) estimates were obtained for most of the growth traits examined during the starter and finisher phases when the chickens were fed diets containing 0 and 4% PEMOSM, except shank length, thigh length, wing length, body girth and keel length that had low R estimates (0.32 to 0.43) during those period. When the chickens were fed higher levels of PEMOSM, low R estimates (0.30 to 0.47) were obtained for most of the traits except body weight which had 0.62 and 0.52 at 6 and 8% PEMOSM inclusion level during finishers' stage, and keel length with 0.55 at 6% PEMOSM during the starter phase. This findings indicate that nutrition play a major role as an environmental factor that have a significant effect on genetic parameters of chicken and should be taken into consideration when broiler chickens are been considered for genetic improvement.Item STATISTICAL MODELING OF CLIMATIC AND INCUBATOR CONDITIONS FOR HATCHABILITY OF JAPANESE QUAIL (COTURNIX COTURNIX JAPONICA) EGGS(Nigerian Journal of Genetics, 2017) Adedibu, I.I.; Abbaya, H.Y.; Yusuff, A.O.; Sola-Ojo, F.E.The study was undertaken to verify the relationship between hatchability of quail eggs and environmental temperature and humidity (ET, EH) as well as incubator temperature and humidity (IT, IH), and to predict the hatchability of the eggs using ET, EH, IT, IH. A total number of 1421 and 2393 quail eggs were set in the late rainy and dry cold season respectively. Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) were sed to predict hatchability while correlation studies were computed for the relationship. There were moderate negative relationships between hatchability of quail eggs and ET and EH. The four factors ET, EH, IT and IH could account for 95 and 30 percent of hatchability of the eggs using the ANN and MLR in the rainy season but 21 percent using ANN and MLR in dry season.