Evaluation of alternative protein sources on broiler performance and gut microbiota in commercial farms | Blazingprojects Postgraduate Thesis
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Evaluation of alternative protein sources on broiler performance and gut microbiota in commercial farms

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of the Study
  • 1.3Statement of the Problem
  • 1.4Aim and Objectives of the Study
  • 1.5Research Questions
  • 1.6Research Hypotheses
  • 1.7Significance of the Study
  • 1.8Scope and Delimitation of the Study
  • 1.9Limitations of the Study
  • 1.10Organisation of the Study
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Review: Protein Sources in Poultry Diets and Alternatives
  • 2.2Conceptualization of Broiler Performance Metrics and Health Indicators
  • 2.3Theoretical Framework: Nutritional Ecology Theory and Microbiome Stability Theory
  • 2.4Theoretical Framework: Resource-Competition Theory and Digestive Efficiency Theory
  • 2.5Empirical Review: Conventional Protein Sources in Broiler Diets
  • 2.6Empirical Review: Plant-Based Protein Substitutes in Commercial Broilers
  • 2.7Empirical Review: Insect-Based and Fungal Protein Feeds in Poultry
  • 2.8Empirical Review: Water-Soluble Protein Fractions and Digestibility
  • 2.9Empirical Review: Gut Microbiota Dynamics in Response to Diet Change
  • 2.10Empirical Review: Immune and Growth Linkages with Diet Microbiota Interactions
  • 2.11Gaps in the Literature on Alternative Proteins for Broilers
  • 2.12Conceptual Model or Synthesis of the Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Field-based Randomized Controlled Feeding Trial in Commercial Farms
  • 3.2Philosophical Paradigm: Pragmatism in Agricultural Field Research
  • 3.3Population of the Study: Commercial Broiler Flocks and Integrated Farm Systems
  • 3.4Sample Size and Sampling Technique: Cluster Random Sampling Across Farms
  • 3.5Sources and Instruments of Data Collection: Feed Formulation Sheets, Growth Monitoring, Feed Intake, FCR, Blood Biomarkers, and Microbiome Sampling
  • 3.6Validity and Reliability of Instruments: Calibration, Pilot Testing, and Inter-Observer Reliability
  • 3.7Data Collection Protocols: Digestibility Trials, Growth Recording, and Fecal Microbiota Sampling
  • 3.8Laboratory Analyses: Microbiota Sequencing, Bioinformatics, and Blood Metabolites
  • 3.9Data Analysis Methods: Mixed-Effects Models, Multivariate Analysis, and Differential Abundance Testing
  • 3.10Model Specification or Analytical Framework: Nutritional Impact Models Linking Diet, Growth, and Microbiome
  • 3.11Ethical Considerations: Animal Welfare, Farm Consent, and Data Privacy

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION OF FINDINGS
  • 4.1Data Presentation Overview: Descriptive Statistics Across Diet Treatments
  • 4.2Descriptive Analysis: Growth Performance Metrics by Protein Source
  • 4.3Descriptive Analysis: Feed Intake, Feed Conversion Ratio, and Mortality Rates
  • 4.4Descriptive Analysis: Carcass Traits and Meat Quality Parameters
  • 4.5Descriptive Analysis: Blood Biomarkers Indicative of Nutritional Status
  • 4.6Descriptive Analysis: Gut Microbiota Diversity and Composition by Diet
  • 4.7Hypotheses Testing: Growth Performance Differences Across Protein Sources
  • 4.8Hypotheses Testing: Microbiota Structural Shifts and Functional Pathways
  • 4.9Interpretation of Results: Integration of Growth and Microbiome Data
  • 4.10Discussion of Findings in Relation to the Reviewed Literature

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Findings
  • 5.2Conclusion: Implications for Poultry Nutrition and Farm Management
  • 5.3Contribution to Knowledge: Empirical Evidence on Alternative Proteins and Gut Microbiota
  • 5.4Practical Recommendations for Commercial Farms
  • 5.5Policy and Industry Implications
  • 5.6Suggestions for Further Studies

Thesis Abstract

This study addresses the rising demand for sustainable poultry production by evaluating how alternative protein sources influence broiler performance and gut microbiota in commercial farming systems, with implications for growth efficiency, feed conversion, health status, and environmental sustainability. The aim is to quantify the effects of locally sourced, plant-based and insect-derived protein supplements on growth performance, carcass traits, nutrient utilization, and the structure and function of the caecal and ileal microbiota under commercial rearing conditions. Specific objectives are to determine (1) the impact of three alternative protein sources—soybean meal replacement with chickpea cotyledon meal, marigold seed meal, and Hermetia illucens (black soldier fly) meal—on body weight gain, feed intake, and feed conversion ratio across standard 42-day growth cycles; (2) changes in apparent nutrient digestibility and nitrogen balance; (3) alterations in gut microbial diversity, composition, and predicted functional capacity via 16S rRNA gene sequencing and shotgun metagenomics; (4) correlations between microbial profiles and growth or health indicators, including gizzard weight, intestinal morphology, and welfare indicators; and (5) economic and environmental implications assessed through partial budgeting and life cycle assessment to gauge net profitability and greenhouse gas emission footprints. A randomized complete block design will be employed in three commercial broiler production farms, each containing four dietary treatments with six replicate pens per treatment (n = 720 birds total; 30 birds per pen). The experimental period spans the entire 42-day grow-out cycle. Data will be collected on growth performance weekly (body weight, feed intake, feed conversion ratio), mortality, morbidity, and health scoring. Nutrient digestibility will be assessed using a total collection method for a subset of 96 birds (16 per treatment) over days 21–24, determining apparent ileal digestibility of crude protein, amino acids, fats, and minerals. Gut microbiota will be characterized by collecting ileal and caecal contents from 48 birds per treatment at day 42 for 16S rRNA gene sequencing (V3–V4 region) and metagenomic sequencing to profile microbial taxa and predicted functions; quantitative PCR will quantify key microbial groups (e.g., Lactobacillus, Bacteroides, Clostridium) and potential pathogens. Statistical analyses will include mixed-model ANOVA and generalized linear models to assess treatment effects on performance and digestibility, with farm as a random effect. Microbial diversity will be analyzed using alpha and beta diversity metrics (Shannon, Simpson, UniFrac distances), and differential abundance will be identified using DESeq2. Multivariate approaches, including redundancy analysis (RDA) and partial least squares regression (PLSR), will explore associations between diet, microbial features, and performance metrics. Regression models will test relationships between microbial community descriptors and production outcomes, while structural equation modeling (SEM) will evaluate direct and indirect pathways linking protein source, gut microbiota, and performance. Theories informing interpretation include the gut microbiota–host interaction framework and the ecological niche theory, with considerations for dietary niche shifts and microbial resilience. Expected findings anticipate that insect meal substitution will improve nitrogen retention, intestinal morphology, and broiler weight gain, with modestly improved feed efficiency; chickpea meal may serve as a viable plant-based alternative with variable effects depending on anti-nutritional factors; marigold seed meal could modestly influence growth but improve gut health through bioactive compounds. Shifts in microbial diversity are expected, with insect meal elevating beneficial taxa and enhancing microbial functional potential related to amino acid metabolism and short-chain fatty acid production, while plant-based alternatives may modulate carbohydrate-utilizing taxa. The study aims to contribute knowledge by linking specific protein sources to gut microbial ecology and production economics, providing a data-driven basis for feed formulation strategies that optimize performance while minimizing environmental impacts. The main conclusion is that alternative protein sources can sustain or improve broiler performance when precisely dosed and balanced for amino acid profiles, albeit with source-specific microbiota responses that influence health and efficiency. Recommendations include optimization of inclusion rates for each protein source, refinement of balancing protocols to address anti-nutritional factors, integration of microbial biomarkers into feeding strategies, and policy guidance for sustainable protein utilization in commercial poultry production.

Thesis Overview

This research explores how alternative protein sources affect the growth, health, and gut microbial communities of broiler chickens raised in commercial farms. It matters because traditional soybean and animal proteins can be expensive, environmentally taxing, or limited by supply, while alternative materials (such as insect meal, yeast or single-cell proteins, and plant by-products) may offer sustainable and cost-effective options if they support good performance and gut health. The study addresses gaps in knowledge about how different non-traditional protein sources influence broiler growth metrics, feed efficiency, disease resistance, and the complex gut microbiota that drives nutrient use and immunity. Understanding these effects helps formulators design practical, evidence-based diets that maintain production goals while reducing costs and environmental impact. What the researcher will do, step by step: - Design a randomized controlled trial in a commercial broiler operation, using a factorial arrangement to test several alternative protein sources alongside a conventional control. - Population and sample: broiler chicks from a single reputable hatchery, allocated to multiple houses within a commercial farm to reflect real production conditions; target total n around 1200 chicks per treatment, with three replications per diet. - Diets: formulate isocaloric and iso-nitrogenous starter, grower, and finisher diets incorporating selected alternative protein sources at practical inclusion levels (e.g., 5–20% replacement of conventional protein). - Data collection: monitor body weight, feed intake, and feed conversion ratio weekly; record mortality and morbidity; collect cecal samples at two time points for gut microbiota analysis using 16S rRNA gene sequencing; measure short-chain fatty acids; assess gut morphology on a subset of birds. - Instruments: weigh scales, feed weigh-back system, standard laboratory kits for nutrients and SCFA analysis, DNA extraction kits, sequencing platform; data entry via a secure database. - Data analysis: apply ANOVA or mixed models to growth and feed efficiency data, chi-square tests for mortality; use regression to relate diet composition to performance; analyze microbiota data with diversity metrics, differential abundance (e.g., DESeq2), and multivariate analyses (PERMANOVA); interpret results in light of host nutrition and microbial ecology. - Ethical considerations: obtain animal care approval and ensure welfare standards across all houses. Expected contribution and outcome: - Generate practical evidence on the viability of specific alternative protein sources in commercial broiler production, including their effects on performance and gut microbiota. - Inform feed formulation guidelines and sustainability assessments, potentially reducing reliance on conventional proteins and lowering production costs. - Provide a foundation for further work on optimizing inclusion rates and combinations of alternative proteins to balance growth, health, and environmental impact.

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