Home / Agriculture and forestry / A COMPARATIVE PROFITABILITY ANALYSIS OF BROILER PRODUCTION SYSTEMS IN URBAN AREAS OF EDO STATE, NIGERIA

A COMPARATIVE PROFITABILITY ANALYSIS OF BROILER PRODUCTION SYSTEMS IN URBAN AREAS OF EDO STATE, NIGERIA

 

Table Of Contents


Project Abstract

Project Overview

Broiler production is carried out under different production systems and different production systems imply variations in cost of inputs and
returns. This study looked at the cost implications of raising broilers under different production systems as well as constraints faced by the farmers. The
study was conducted in Edo State of Nigeria. The data used in the study were obtained from a cross-sectional survey of broiler farmers in the State from
October–December, 2013. A multi-stage sampling process was used to select the 211 respondents for this study. The data collected were analyzed using
descriptive statistics, profitability ratios and multiple regression models. A five point Likert scale was used to judge level of severity of the constraints
faced by the farmers. The study showed that the mean age of farmers that adopted the battery cage systemwas 48 years and 46 years for the farmers that
used deep litter system. The Gross Margin analysis gave a value of N2,422.24 and a Net Farm Income (NFI) of N2,412.40 per bird for battery cage system
while the deep litter system had a gross margin of N1,601.77 and NFI of N1,593.80 per bird. The profitability ratios showed Rate of Return on Investment RRI
(91.69%), Return on Labour RL (N18.03), Return on Feed RF (N144.22) and Return Per Naira invested RNI (N0.91) for the battery
cage system as against Rate of Return on Investment RRI (70.74%), Return on Labour RL (N30.28), Return on Feed RF (N117.95), and Return Per Naira Invested
RNI (N0.71) for the deep litter system. This shows that both systems were profitable in the study area. The Return per
Naira Invested (RNI) showed that for every N1 invested a return of 91 kobo and 71 kobo accrued to the farmer for battery cage
and deep litter systems respectively. Only three variables in the regression model were found to be statistically significant (P<0.05), these were feed
cost, electricity, and purchase cost of day old chick for both the battery cage and deep littersystems. Feed cost was the major determinants of revenue
accruing to the farmers.

Blazingprojects Mobile App

πŸ“š Over 50,000 Project Materials
πŸ“± 100% Offline: No internet needed
πŸ“ Over 98 Departments
πŸ” Software coding and Machine construction
πŸŽ“ Postgraduate/Undergraduate Research works
πŸ“₯ Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Agriculture and fore. 4 min read

Utilizing Internet of Things (IoT) Technology for Precision Agriculture and Forestry...

The project on "Utilizing Internet of Things (IoT) Technology for Precision Agriculture and Forestry Management" aims to explore the integration of Io...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 2 min read

Application of precision agriculture techniques for optimizing crop production in a ...

The project topic, "Application of precision agriculture techniques for optimizing crop production in a changing climate," focuses on the utilization ...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 3 min read

Utilizing IoT Technology for Precision Agriculture in Forest Management...

"Utilizing IoT Technology for Precision Agriculture in Forest Management" aims to explore the application of Internet of Things (IoT) technology in en...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 2 min read

Using IoT Technology for Precision Agriculture in Forestry Management...

The project topic "Using IoT Technology for Precision Agriculture in Forestry Management" focuses on the integration of Internet of Things (IoT) techn...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 2 min read

Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry ...

The project topic of "Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry Management" revolves around the integration ...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 2 min read

No response received....

No response received....

BP
Blazingprojects
Read more β†’
Agriculture and fore. 4 min read

Application of Remote Sensing Techniques for Monitoring Crop Health and Yield Predic...

The project topic, "Application of Remote Sensing Techniques for Monitoring Crop Health and Yield Prediction in Agriculture," focuses on the utilizati...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 2 min read

Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry ...

The project topic "Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry Management" focuses on the integration of IoT t...

BP
Blazingprojects
Read more β†’
Agriculture and fore. 3 min read

Utilizing IoT Technology for Precision Agriculture Monitoring and Management in Fore...

The project topic "Utilizing IoT Technology for Precision Agriculture Monitoring and Management in Forestry Operations" focuses on the integration of ...

BP
Blazingprojects
Read more β†’
WhatsApp Click here to chat with us