Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Mining the Feed Effects on Five Weeks Old Broiler Chicken

M. Alam
Department of Agricultural Statistics, Sylhet Agricultural University, Bangladesh

M. Ohid Ullah
Department of Statistics, Shahjalal University of Science & Technology, Bangladesh

Abstract/ Executive Summary:

Fattening the broiler chicken at lower age for better profit is the main focus of farmers who resort to various feeds to reach their goal. Any adverse effect in chicken’s body through feed might produce health hazard to the consumers. Therefore, it is important to discover the concentration level of bio-chemical parameters in chicken’s body due to different types of feeds available in the market. The study was conducted on seventy chickens which were randomly allocated to provide two types of feeds. Blood samples were taken at 35thdayand readings for lipid profiles, liver enzyme parameters along with calcium and creatinine were determined through lab experiment. Analysis and graphs indicated that the feed provided by the hatcher produces significantly higher weight. Nevertheless, multivariate analysis of variance revealed that lipid profile levels and liver functioning were significantly different for two types of feed. A reflective mode partial least squares path model (PLSPM) indicates health status (as measured by weight and calcium) has significant effect on lipid profile level, although the other paths representing lipid profile and health status to liver functioning were not found to be significant. Moreover, we observed different PLS coefficients for two types of feeds but possessing same pattern of relationship.

Keywords: Broiler, Lipid profile, Liver function, Multivariate analysis of variance, PLS Path Modelling.

Location: The poultry science department of Sylhet Agricultural University (SAU), Sylhet, Bangladesh

Start Date:

End Date:

Program Area: Animal Health and Management

Commodity: Feed, Broiler chick

Objectives:

Important aspects of food quality on health safety are destroyed by entering the hazardous type of pollution in the food chain. Increasing the LDL and total cholesterol level the risk of serious problem of human like as stroke, heart damage and atherosclerosis also increases. Since the poultry fattening at the lower age for better profit, it is important to know the concentration level of these above parameters at different types of feed of chickens as well as identify the available better feed in the market. Bearing in mind lack of available information of poultry feed effects on serum bio-chemical parameters, this study was undertaken to investigate the effect of feed on lipid profile, liver function and others parameters in chicken.

Methodology:

2.1 Experimental units and treatments Randomly selected seventy broiler chicks from 600 (Cobb-500) were randomly distributed into two groups each belongs of 35 birds. Chicks were collected for the study belonged to the same batch and the same breeding stock, reared under strict hygienic and similar conditions. Rooms, brooder battery and cages were thoroughly cleaned with 2.5% phenol and subsequently fumigated with formaldehyde gas. Sunlight and electric bulbs were used as source of heat and light, electric fan were used for controlling the room temperature. Birds of the both groups were vaccinated against disease according to the direction of the expert of the poultry science department of Sylhet Agricultural University (SAU), Sylhet, Bangladesh. Two different feed i.e., Feed A (Standard feed available in Market), Feed B (Supplied by Hatcher) for each stage (i.e., starter, grower and finisher) were supplied to the two groups from the first day to 35th day of the experiment. Water was supplied ad labium during the entire experimental period. Composition of the diets and its nutrient composition for the above-mentioned phases are presented below.

2.2 Collection of blood sample for the bio-chemical parameters From the wing veins of every bird of eachgroup’s3ml blood sample were collected for lipid profile, liver function and other biochemical parameter tests at 35th day age of chicken. We collected blood sample with the help of expert personnel at very early morning for fasting stage of the bird and also measured the weight of each sampled bird. Blood samples were transferred to the physiology laboratory of SAU, Sylhet within two hours of collection and serum were separated by centrifugation (3000g, for 10 minutes at room temperature) and stored in eppendorf tubes for analysis. 2.3 Studies of biochemical parameters of blood The chemistry semi-auto analyzer AUTOPAK was used for the concentrations of the estimation of the biochemical parameter by routine methods. Commercially available kits (RANDOX, County Antrim, United Kingdom) were used to analyse the serum for total cholesterol (TC) in enzymatic endpoint method, total triglycerides (TG) in GPO-PAP method, low density lipoprotein (LDL) in enzymatic (colorimetric) method, high density lipoprotein (HDL), calcium in colorimetric method, creatinine in colorimetric method and values were expressed as mg/dL. Furthermore, aspartate amino transferase (AST) and alanine aminotransferase (ALT) for liver functioning were measured and expressed as U/L.

2.4 Methodology Exploratory analyses as well as inferential analysis t-test, ANOVA and MANOVA were applied using the data obtained from the laboratory experiment for the difference of two groups according to two feeds due to individual blood parameter and also clustered parameters. PLS-PM was applied to get an idea of how the set of dependent variables are systematically explained by their sets of predictors i.e., to obtain score values of latent variables for prediction purposes. In PLSPM, we considered the observed data set X constituted in 3 (mutually exclusive) blocks as X1=health status which contains variables weight and calcium of serum, X2 =lipid profile which contains variables TC, TG, LDL and X3= liver function which contains variables ALT, AST. Since the indicators HDL plausibly generate opposite effect from all others indicators of lipid profile, we exclude this from lipid profile block.Each block Xj is assumed to be associated with a latent variable LVj . The latent variables are estimated as a linear combination of their manifest variables (indicators of block).

Source of Information: IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 10, Issue 5 Ver. I May. 2017), PP 04-09 www.iosrjournals.org

Article Link (Online Journal): DOI: 10.9790/2380-1005010409

Funding Source:

1.

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Experiment was conducted on seventy randomly selected broiler chickens with requisite lab test to explore the feed effect on biochemical parameter of the chickens’ body and some functional relationship among the components. Statistical analyses show that the feed provided by the hatcher produces significantly higher weight than that by other balanced feed available in the market which supported the findings of that birds fed high diet (Crude protein and Fat) showed higher body weight (BW). However, similar test revealed no significant difference in the calcium and creatinine levels produced by two feeds. As the variables in lipid profile levels and liver functioning are in multivariate format, MANOVA results show that although higher weight was gained through the feed from hatcher, this feed significantly increases the lipid profile parameter of triglyceride level. Nevertheless, similar test uncovers that ALT and AST levels were significantly lower due to the feed provided by hatcher. To study the structural relationship among health status, lipid profile levels and liver functioning, a reflective mode path model was conducted. The PLS-Path model revealed that the effect of health status is significant on the lipid profile. Weight, triglycerides and ALT were the influencing indicators of health status, lipid profile and liver function respectively as they captured more than half of the variability. This analysis also indicated that patterns of the influence do not vary significantly while their effect was found different for the two types of feeds.

Knowledge Management: Journal