Home / Agriculture and forestry / Improvement in egg production traits in the light local chicken ecotype using a selection index

Improvement in egg production traits in the light local chicken ecotype using a selection index

 

Table Of Contents


Thesis Abstract

Fifty hens and five cocks from a random mating population of light local chicken ecotype(LLCE) were mated and the fertile eggs hatched to obtain the parent generation (G0) used forthis study aimed at improving egg production traits in the LLCE using a selection index. Thehens were monitored for short-term (90-days from first day of lay) egg production traitsnamely Body Weight at First Egg (BWFE), Average Egg Weight (AEW) and Total EggNumber (TEN). Data obtained were subjected to statistical analysis using SPSS (2001) andpaternal half-sib model with Harvey (1990) to estimate descriptive statistics and geneticparameters respectively. These were employed in constructing the selection index. Selectionfor all the selection criteria (BWFE, AEW and TEN) was in the positive direction. Selectedparents were mated to produce next generations – G1 and G2. Selection differentials,selection intensities and genetic response due to selection were also estimated. A controlpopulation which spanned for three generations (each generation had its own controlpopulation) was used to monitor environmental changes and to estimate the genetic changes

due to selection.

There were significant increases (P<0.05) in BWFE, AEW, and TEN in theselected populations over the three generations of study such significant increases (P<0.05)were not observed in the control population. Heritability estimates for all traits in allgenerations and populations were moderate to high. The heritability of the index was alsomoderate. Such moderate to high heritability estimates indicate high additive geneticvariances, implying that these traits were most passed on from the parents to their offspring.Low to high positive genetic and phenotypic correlations was observed between BWFE andAEW in all populations of study. The genetic correlation and phenotypic correlation betweenBWFE and EN, and between AEW and EN, was moderate to highly negative for allgenerations and populations of study. A positive genetic correlation was observed betweenAEW and TEN in G2 of the selected population. A cumulative selection differential of269.38g, 1.58g and 3.88 eggs were obtained for BWFE, AEW and TEN respectively.Selection response for traits increased over the generations in a fairly linear manner.Realized response per generation was estimated to be 94.22g, 0.84g and 4.85eggs for BWFE,AEW and TEN respectively. It is evident that the simultaneous inclusion of BWFE, AEW,and TEN in a selection index generally improved the performance of selected birds over the generations in the Light Local Chicken Ecotype.


Thesis Overview

Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Agriculture and fore. 3 min read

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

The project titled "Utilizing Internet of Things (IoT) Technology for Precision Agriculture in Forestry Management" aims to explore the application of...

BP
Blazingprojects
Read more →
Agriculture and fore. 3 min read

Implementation of Precision Agriculture Techniques for Enhanced Crop Yield and Resou...

The project titled "Implementation of Precision Agriculture Techniques for Enhanced Crop Yield and Resource Management in Forestry Plantations" aims t...

BP
Blazingprojects
Read more →
Agriculture and fore. 3 min read

Automation of Crop Monitoring and Management Using IoT Technology in Agriculture...

The project titled "Automation of Crop Monitoring and Management Using IoT Technology in Agriculture" aims to revolutionize the agricultural sector by...

BP
Blazingprojects
Read more →
Agriculture and fore. 2 min read

Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management...

The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of cutting-edg...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Utilizing Internet of Things (IoT) technology for precision agriculture in optimizin...

The research project titled "Utilizing Internet of Things (IoT) technology for precision agriculture in optimizing crop production and resource management&...

BP
Blazingprojects
Read more →
Agriculture and fore. 2 min read

Utilizing Machine Learning for Predicting Crop Yields and Pest Outbreaks in Agricult...

The project titled "Utilizing Machine Learning for Predicting Crop Yields and Pest Outbreaks in Agricultural Fields" aims to leverage advanced machine...

BP
Blazingprojects
Read more →
Agriculture and fore. 3 min read

Utilizing Machine Learning Algorithms for Improved Crop Yield Prediction in Agricult...

The project titled "Utilizing Machine Learning Algorithms for Improved Crop Yield Prediction in Agricultural Farms" aims to leverage advanced machine ...

BP
Blazingprojects
Read more →
Agriculture and fore. 2 min read

Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management...

The project titled "Utilizing Artificial Intelligence for Precision Agriculture in Forestry Management" aims to explore the integration of artificial ...

BP
Blazingprojects
Read more →
Agriculture and fore. 4 min read

Implementation of Precision Agriculture Techniques for Improved Crop Yield and Resou...

The project titled "Implementation of Precision Agriculture Techniques for Improved Crop Yield and Resource Management in Forestry Plantations" aims t...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us