Serum Biochemical and Meat Fatty Acid Profiles of Different Chicken Genotypes

Serum biochemical and meat fatty acid profile of different chickens were studied. A total of 144 mixed sex matured chickens of Cosmopolitan (C), Improved Horro (H), Cosmopolitan♂*Improved Horro♀(CH), Improved Horro♂*Cosmopolitan♀ (HC), Indigenous (L) and Koekkoek (KK) were used to determine serum biochemical, of which 36 chickens were also used for fatty acid profile study. Completely randomized design in 6 × 2 factorial arrangements was set up. Serum biochemical and fatty acid profiles were determined by Roche/Hitachi cobas c 501 and gas liquid chromatography (GC) procedures, respectively. There were significant differences (P ≤ 0.001) in Total cholesterol (TC), Triglyceride (TG), Low-density lipoprotein (LDL) and High-density lipoprotein (HDL) among genotypes and between sexes. HDL was inversely related with TC, TG and LDL. Male had significantly higher (P ≤ 0.001) TC, TG, LDL but lower HDL than female. SFA, (Myristic, Pentadecanoic and Palmitic acids) had significantly (P < 0.05) varied among genotypes. However, Margaric (P ≤ 0.01) and stearic (P ≤ 0.001) acids were significantly different between sexes. Myristoleic and Palmitoleic acids significantly vary (P ≤ 0.05) among genotypes and between sexes. Oleic (P ≤ 0.01) and Eicosenoic (P ≤ 0.001) significantly influenced by sex. Moreover, Linoleic had significantly (P ≤ 0.01) affected by genotypes. Nevertheless, α-linolenic acid significantly (P ≤ 0.01) varied between sexes. The serum biochemical differed across genotypes and between sexes. The difference in the number of carbons, double bond and position of the double bond could affect fatty acid profile among genotypes and between sexes. Chicken products with higher level TC, TG, LDL and SFA might affect human health problems. It could also be interesting topic for future studies.

Sensory Characteristics, Nutritional Composition, and Quality of Eggs from Different Chickens

The present study evaluated the sensory, composition, and quality of eggs from Cosmopolitan (C), Improved Horro (H), ♂ Improved Horro * Cosmopolitan ♀ (HC), ♂ Cosmopolitan * Improved Horro ♀ (CH), Indigenous(L), and Koekoek (KK) genotypes. A completely randomized design was used in the study. A total of 108 (18/genotype), 180 (30/genotype), and 90 (15/genotype) eggs were used for the sensory, composition, and egg quality tests, respectively. All data were analyzed following the GLM model using SAS software. The boiled and scrambled eggs from L, H, and C were (P ≤ 0.001) preferred followed by CH, HC, and KK. Results showed that KK, HC, CH, and C eggs were higher in moisture, crude fat, crude ash, and crude fiber, but these traits were found lower in H and L genotypes. A significantly highest crude protein was observed in L (21.19 ± 0.19) genotype, with higher in H (20.62 ± 0.26), intermediate in HC (19.96 ± 0.29), C (19.85 ± 0.10), and CH (19.40 ± 0.37), whereas the eggs from KK genotype had the lowest crude protein content (18.69 ± 0.20). The egg quality was (P = 0.001 - 0.01) affected across traits except for eggshell indices (P > 0.05). The genotypes with a negative significant correlation with crude protein had a positive significant correlation with almost all composition and egg external quality traits. The genotypes with positive significant correlations of egg weight had positive significant correlations with most internal egg quality traits except that of yolk weight ratio, yolk albumen ratio, and yolk color. Conclusively: the eggs of L, H, and C genotypes were best favored followed by CH and C, but the KK genotype was the least favored, and these differences were deemed due to genetic variations, and interventions. Furthermore, the eggs laid from genotypes with deep yellow yolk color might be the most nutritious. It could also necessitate future breeding and dietary studies.

Husbandry, Productivity and Producers Trait Preference of Goats in North Western Lowlands of Ethiopia

A survey was conducted in Agalo Meti, Bambasi and Mandura districts of Kamashi, Assosa and Metekel zones of Benishangul-Gumuz Regional State, respectively. The aim of the study was to assess production characteristics, productive performances and producer’s traits preference of goats. A total of 177 households who have goat flock and experience in goat production were purposively selected. Data was collected through respondent interviews using structured questionnaire, focus group discussions, key informant interviews and field visit. Data was analyzed using SPSS software and reported using descriptive statistics. Indices were used to present ranking. Farming is characterized by mixed-crop livestock production system and livestock are kept under traditional extensive management system. Greater number of goats than other livestock species were owned in the area. The indigenous goats reared in the area include Arab, Felata and Gumuz. The mean goat flock size per household was 9.81 ± 1.08, 8.31 ± 1.16 and 8.71 ± 0.88 in Agalo Meti, Bambasi and Mandura district, respectively. Goats were primarily kept for generating income (indices = 0.43), followed by saving/insurance (0.34), and meat for home consumption (0.18). About 58% of the producers sell goat skins, whereas (42%) did not-sold through the formal market chain. Natural pasture and indigenous browse species were the major feed resources. About 89.3% of the respondents housed their goats in a well-shaded separately constructed house. The herding practices of goats include: free-roaming all year round (67.8%) and restricted herding (32.2%) during the cropping season. The major constraints for goat production were infectious and parasitic diseases (0.45), inadequate veterinary services (0.39), predators (0.091), marketing problem (0.03) and poor management (0.01). Arab, Felata, and Gumuz goats give first birth at the age of 13.65 ± 0.40, 12.90 ± 0.29 and 12.54 ± 0.43 months, kidded at every 8.52 ± 0.41, 7.85 ± 0.25 and 7.67 ± 0.22 months and produce 0.52 ± 0.03, 0.61 ± 0.02, and 0.51 ± 0.01 liter of milk, respectively. Uncontrolled natural mating is the dominant breeding system, and bucks and does run together throughout the year. Size, growth rate, body conformation and age were the preferred traits in selecting bucks, whereas does were selected based on size, multiple birth, milk yield and kidding interval. Therefore, in order to utilize the current growing demand for goat meat at local and international markets, improving the production environment, particularly health and nutrition, genetic and production technologies is necessary.

Functional Metagenomics from the Rumen Environment—A Review

The rumen microbiome plays an essential role in ruminant physiology, nutrition and pathology as well as host immunity. A better understanding of rumen microbial processes and identification of which populations are responsible for specific functions within the rumen microbiome will lead to better management and sustainable utilization of the available feed base while maintaining a low environmental impact. Recent advance in the culture independent method of microbiology such as metagenomics, unravels potentially the rumen microbial process. There are two basic types of metagenomics studies: Sequence-based and function-based metagenomics. Sequence-based metagenomics involves sequencing and analysis of DNA from environmental samples. Its purpose is to assemble genomes, identify genes, find complete metabolic pathways, and compare organisms of different communities. Whereas functional metagenomics is the study of the collective genome of a microbial community by expressing it in a foreign host usually Escherichia coli (E. coli). It is a promising approach unearthing novel enzymes even from yet to culture rumen microbiota. Further advances in the screening techniques promise vast opportunities to rumen microbiologists, and animal nutritionist. The identification of novel enzyme through functional metagenomics consists of three parts: rumen sample collection;DNA library construction and screening of individual clone. Functional metagenomics was successfully applied to identify different antibiotics, hydrolytic enzymes, antibiotic resistance genes, and many other functions;moreover, it allowed characterization of genes encoding enzymes with a particular activity, which represents completely novel sequence. There are a number of outputs from functionally screened rumen product such as carbohydrate active enzymes (CAZymes) that can break down plant cell walls. Company involved commercialization of metagenomics research such as Syngenta, Genencor International, BRAIN etc., has produced many biological molecules of commercial interest. The aim of this paper is to elucidate functional metagenomics, from rumen environment and its potential for commercial purpose.