Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
Identification And Phylogenetic Analysis Of Channa Species From Riverine System Of Pakistan Using Coi Gene As A Dna Barcoding Marker, Muhammad Kamran, Atif Yaqub, Naila Malkani, Khalid Mahmood Anjum, Muhammad Nabeel Awan, Hamed Paknejad
Identification And Phylogenetic Analysis Of Channa Species From Riverine System Of Pakistan Using Coi Gene As A Dna Barcoding Marker, Muhammad Kamran, Atif Yaqub, Naila Malkani, Khalid Mahmood Anjum, Muhammad Nabeel Awan, Hamed Paknejad
Journal of Bioresource Management
Channa are the freshwater and important food fish species in Pakistan belonging to family Channidae. However, identification and phylogenetic analysis based on molecular tools of these species in Pakistan was not well known. Herein, the current investigation was conceptualized, which dealt with mitochondrial DNA sequences from three geographically distinct populations of this species from Pakistan’s water system. DNA from fin tissues was extracted. COI region of mtDNA was amplified using universal primers for fish. PCR products were sequenced. Phylogenetic analysis conducted in the present study, i.e. neighbor-joining (NJ) cladogram, maximum likelihood, K2P genetic divergence and histogram suggests that the studied …
Prediction Of Feed Utilization Performance In Clarias Gariepinus Using Multiple Linear Regression In Machine Learning, Adekunle Oluwatosin Familusi
Prediction Of Feed Utilization Performance In Clarias Gariepinus Using Multiple Linear Regression In Machine Learning, Adekunle Oluwatosin Familusi
Journal of Bioresource Management
Machine learning models can be used to make predictions about nutrient utilization performance index using available proximate analysis data on feed composition. Data from similar experiments on nutrient utilization performance was used to fit a multiple linear regression model for the prediction of four performance indexes. The Specific Growth Rate and percentage inclusion with strength of 0.57 was noted along with a negative relationship between protein efficiency and protein content. A negative relationship between Nitrogen Free Extract (NFE) and Protein Efficiency Ratio (PER) at NFE content ≥25 % was observed. PER was predicted with 85 % accuracy, while Weight Gain …