Effect of Breed and Age on Internal and External Egg Quality Traits of Indigenous and Commercial Chickens: A Systematic Review
School of Agricultural and Environmental Sciences, Department of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga 0727, Limpopo, South Africa.
Abstract | The objective of this study was to systematically review articles that studied the influence of breed and age on egg quality characteristics of chickens. Articles were searched on databases such as ScienceDirect, PubMed, Google Scholar, and Web of Science using breed, genotype, strain, age, ‘egg quality traits’, ‘egg quality characteristics’, ‘egg quality parameters’, chickens, hens, and ‘Gallus gallus domesticus’ as keywords. Twenty-six articles included in the systematic review were published from the year 2000 to 2023. The results showed that 19 out of 26 articles studied the effect of breed on egg quality characteristics and found that breed had an effect on internal and external egg quality traits. Commercial and indigenous chicken breeds such as the Isa Brown, Hisex Brown, Hy-line Brown, Isa White, Hy-line white, Kuroiler, Moravia BSL, Tetra SL, Abor Acre, Dominant Brown, Rhode Island Red, Oravka, Amarela, Pedres, Preta, Ermellinata of Rovigo, and Robusta maculata chickens showed better performance in egg quality traits such as the egg weight, albumen height, egg length, haugh unit, egg width, yolk weight, eggshell weight, egg shape index and eggshell colour. The results further indicated that 19 other articles studied the influence of age on egg quality characteristics and found that most of the egg quality traits improved with an increase in age and were optimum above 40 weeks of age. However, eggshell quality decreased as age increased. This systematic review concludes that breed and age significantly influence egg quality characteristics and may be effectively utilised to improve overall egg production and quality.
Keywords | Chicken breed, Hen age, Egg quality, Egg weight, Eggshell thickness, Systematic review
Received | May 19, 2025; Accepted | August 13, 2025; Published | October 24, 2025
*Correspondence | Thobela Louis Tyasi, School of Agricultural and Environmental Sciences, Department of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga 0727, Limpopo, South Africa; Email: [email protected]
Citation |Mokgapa PS, Tyasi TL, Mugwabana JT (2025). Effect of breed and age on internal and external egg quality traits of indigenous and commercial chickens: A systematic review. J. Anim. Health Prod. 13(4): 1081-1094.
DOI | https://dx.doi.org/10.17582/journal.jahp/2025/13.4.1081.1094
ISSN (Online) | 2308-2801
Copyright: 2025 by the authors. Licensee ResearchersLinks Ltd, England, UK.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
INTRODUCTION
The poultry sector is a key source of animal protein, providing meat and eggs that contribute to national food security. Poultry eggs are regarded as the most affordable and widely accepted animal products (Dudusola et al., 2020; Kurniawan et al., 2025). Egg quality characteristics, both internal and external, are important to the global egg industry (Aminami et al., 2022). Breed and age are one of the key factors affecting shell colour and other egg quality characteristics (Kraus and Zita, 2019). Poor egg quality characteristics have a major economic impact on commercial egg farmers (Petričević et al., 2017). Therefore, understanding these traits and the factors that influence them is important (Guni et al., 2021). Consumers prefer better quality eggs, so evaluating internal and external egg quality traits is essential (Rajkumar et al., 2009; Sudrajat et al., 2024). Indigenous chicken breeds and their products have received little research attention (Lordelo et al., 2020). While some work has been done, there is a shortage of comprehensive research on the egg quality characteristics of these indigenous chicken breeds, limiting the ability to fully understand and improve their production potential. To the best of the authors’ knowledge, there is no systematic review on the effect of breed and age on egg quality characteristics of chickens. A search was conducted using breed, age, egg quality traits and also chickens as keywords, and there was no systematic review found on this topic. Therefore, the objective of this study was to conduct a systematic review of articles that investigated the effect of breed and age on egg quality characteristics of chickens. The findings of this systematic review will provide valuable insights about how breed and age influence egg quality traits of chickens. This information may be utilised to improve egg quality traits in chickens through selective breeding, thus improving egg production.
MATERIALS AND METHODS
Eligibility criteria
For this systematic review, the Population, Intervention, Comparison, as well as Outcomes (PICO) components of the research question were identified, as explained by Vriezen et al. (2019). The “Chickens” were described as the population, with “breed and age” as the intervention, “different chicken breeds and age groups” as the comparison, and “egg quality traits” as outcomes. An initial search of the PICO components was conducted on databases including Web of Science, ScienceDirect, PubMed, and Google Scholar before planning to conduct the study.
Search strategy
The findings of this systematic review were reported following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (Moher et al., 2009). The search of published articles was conducted by two authors using Web of Science, ScienceDirect, Google Scholar, and PubMed databases from the 25th of September to the 12th of October 2024. The combination of the following keywords: breed OR genotype OR strain, AND age, AND ‘egg quality traits’ OR ‘egg quality characteristics’ OR ‘egg quality parameters’, AND chickens OR hens OR ‘Gallus gallus domesticus’ was used when performing publication search.
Inclusion criteria
This systematic review included articles that studied the influence of breed and/or age on egg quality characteristics of chickens, were published in English, and investigated the egg quality parameters of chickens.
Exclusion criteria
Articles that were duplicates, had missing keywords, used a different species, not written in English since the majority of articles are published in English, titled a review, and had no data on the effect of breed and/ or age on egg quality characteristics were excluded.
Data extraction
The two authors independently extracted data and content before reaching an agreement on all materials. The information that was retrieved from the included studies had the name of the first author, publication year, chicken breed and/or age, and studied egg quality traits.
Results
Searched results
The flowchart for identifying and selecting articles for the systematic review is shown in Figure 1. One hundred and fifty-seven articles (n= 157) were extracted where thirty-five articles (n= 35) were removed as duplicates and one hundred and twenty-two articles (n= 122) remained. The remaining articles were analysed for exclusion and inclusion criteria. After screening the articles for title, thirty-five articles (n= 35) were eliminated. Eighty-seven articles (n= 87) were screened for abstract, and thirty-four articles (n= 34) were removed. Fifty-three articles (n= 53) were screened for eligibility and twenty-six articles (n= 26) were included in this systematic review.
Characteristics of included articles
The characteristics of twenty-six included articles (n= 26) in the systematic review are shown in Table 1. The included articles were published from the year 2000 to 2023 and they used chickens that were from the age of 20 weeks up to 65 weeks.
Table 1: Characteristics of included articles.
|
Author |
Year |
Country |
Breed |
Age (weeks) |
Egg quality traits |
|
Aminami et al |
2022 |
Nigeria |
Marshall, Abor Acre |
26 - 52 |
Egg length, shape index, egg weight, egg width |
|
Calik and Obrzut |
2023 |
Poland |
Rhode Island Red, Rhode Island White |
33, 53 |
Egg weight, eggshell strength, egg shape index, shell colour, albumen height, eggshell thickness, yolk content, shell density, yolk weight and colour, haugh units, blood stains, meat stains |
|
Dinesh et al |
2022 |
India |
Dahlem Red |
21, 28, 40, 52, 64 |
Egg length, shell thickness, egg weight, yolk width, shape index, albumen length, yolk index, albumen width, egg width, albumen height, yolk height, haugh unit index |
|
Dudusola et al |
2020 |
Nigeria |
Noiler |
26, 46 |
Egg length, egg weight, shell surface area, yolk width, haugh unit, egg shape index, egg width, yolk index, albumen height, eggshell thickness, yolk height, yolk and albumen weight |
|
Guni et al |
2021 |
Tanzania |
Sasso, Kuroiler |
- |
Egg length, albumen height, egg weight, shell weight, albumen ratio, egg width, shell ratio, shell thickness, yolk ratio, haugh unit, albumen weight, yolk weight, egg shape index |
|
Hanusová et al |
2015 |
Slovakia |
Rhode Island Red, Oravka |
44 |
Yolk height, egg shape index, yolk colour, yolk percentage, egg length, albumen width, shell weight, albumen height, egg weight, yolk index, shell percentage, egg width, shell thickness, yolk width, albumen weight, albumen percentage, yolk weight, albumen index, haugh unit |
|
Hanusová et al |
2021 |
Slovakia |
Oravka |
28, 32, 52 |
Egg weight, shell weight, albumen width, egg length, shell percentage, albumen weight, yolk colour, haugh unit, albumen height, egg shape index, yolk percentage, albumen index, yolk weight, albumen percentage, yolk height, egg width, yolk index, shell thickness, yolk width |
|
Ibrahim et al |
2020 |
Nigeria |
Amberlin Dekalb, Isa Brown, Bovan Nera black |
- |
Egg shape index, egg length, yolk pH, albumen height, egg width, yolk height, eggshell percentage, albumen pH, eggshell thickness, albumen width, eggshell weight, albumen length, haugh unit, egg weight, yolk width, albumen index, yolk width, albumen width, albumen-yolk pH, yolk index |
|
Kabir et al |
2014 |
Nigeria |
Nera Black, Isa Brown |
26, 32, 38 |
Egg length, haugh unit, egg width, eggshell weight, albumen height, eggshell thickness, yolk weight, albumen weight, egg weight, yolk height |
|
Kraus and Zita |
2019 |
Czechia |
ISA Brown, Hy-Line Brown |
36, 40, 44, 48, 52, 56, 60, 64 |
Egg shape index, haugh units, egg weight, eggshell proportion, eggshell colour, shell thickness, yolk proportion, albumen index, shell strength, albumen proportion, yolk index and colour |
|
Kraus et al |
2020 |
Czechia |
Dominant Brown, Dominant Leghorn |
28, 35, 59 |
Egg shape index, albumen index, shell strength, shell weight, egg weight, haugh units, eggshell thickness, yolk weight, shell colour, albumen weight, yolk index |
|
Ledvinka et al |
2012 |
Czechia |
Moravia BSL, Hisex Brown, ISA Brown |
20 - 60 |
Egg shape index, albumen weight, eggshell weight, egg surface, yolk weight, shell colour, egg yolk index, shell index, egg yolk colour, albumen index, eggshell thickness, eggshell strength, haugh units, egg weight, yolk: albumen ratio |
|
Lordelo et al |
2020 |
Portugal |
Hybrid, Amarela, Branca, Pedres and Preta |
- |
Albumen percentage, egg weight, yolk percentage, egg shape index, shell colour, albumen pH, shell percentage, yolk colour and pH, haugh units |
|
Manyeula et al |
2021 |
Botswana |
Ross broiler breeder |
30, 45, 60 |
Egg length, shell thickness, egg weight, shell weight, egg width |
|
Ogunshola et al |
2018 |
Nigeria |
Fulani ecotype |
20, 22, 24 |
Shell weight, yolk width, egg weight, albumen height, shell thickness, egg length, albumen weight, haugh unit, albumen width, yolk weight, egg width, albumen index, albumen index, yolk index, albumen length, yolk height |
|
Oleforuh Okoleh et al |
2018 |
Nigeria |
Normal feather, Naked neck |
22, 26, 30, 34 |
Egg weight, yolk height, egg length, albumen length, egg breadth, yolk weight, egg shape index, albumen height, yolk breadth, haugh unit, yolk pH, albumen breadth, yolk length, albumen pH, yolk index, shell weight, albumen index, shell strength, yolk index, albumen weight |
|
Table continues on next page..................... |
|||||
|
Author |
Year |
Country |
Breed |
Age (weeks) |
Egg quality traits |
|
Petricevic et al |
2017 |
Serbia |
Tetra SL, Bowans Brown |
35, 45, 55, 65 |
Egg weight, shell breaking force, haugh units, shell deformation, albumen height, egg shape index, eggshell mass, and eggshell thickness |
|
Rajkumar et al |
2009 |
India |
Naked Neck |
28, 32, 36, 40 |
Egg weight, yolk width, egg length, yolk height, egg width, haugh unit, yolk weight, egg shape index, albumen width, yolk colour, shell thickness, yolk index, albumen weight, shell weight, albumen height |
|
Rakonjac et al |
2021 |
Serbia |
New Hampshire, Isa Brown |
- |
Shell deformation, egg shape index, albumen height, albumen proportion, eggshell thickness, yolk proportion, egg weight, shell strength, haugh unit, shell proportion |
|
Rizzi |
2020 |
Italy |
Robusta maculata, Ermellinata of Rovigo |
36, 50 |
Yolk weight, eggshell thickness, albumen weight, haugh unit, yolk percentage, egg shape index, eggshell weight, yolk : albumen ratio, egg weight, albumen percentage, eggshell length and width |
|
Rizzi and Chiericato |
2005 |
Italy |
Hy-Line White, Ermellinata of Rovigo, Robusta maculata, Hy-Line Brown |
30, 34, 38, 42 |
Egg weight, haugh unit, albumen pH, albumen height |
|
Rizzi and Chiericato |
2005 |
Italy |
Hy-Line White, Ermellinata of Rovigo, Robusta maculata, Hy-Line Brown |
30, 40 |
Egg weight, yolk percentage, eggshell percentage, albumen percentage, yolk : albumen ratio, eggshell thickness |
|
Scott and Silversides |
2000 |
Canada |
ISA-White, ISA-Brown |
31 |
Egghell weight, eggshell percentage, albumen weight, albumen percentage, egg weight, yolk weight, albumen pH, yolk percentage, albumen height |
|
Silversides and Scott |
2001 |
Canada |
ISA-White, and ISA-Brown |
25, 31, 49, 59 |
Albumen percentage, egg weight, albumen pH, shell percentage, albumen height, yolk percentage |
|
Sokołowicz et al |
2018 |
Poland |
Hy-line Brown, Rhode Island Red, Hy-line Brown, Green leg Partridge |
56 |
Shell colour, egg weight, shell thickness, yolk colour, egg shape index, shell density, albumen height, eggshell weight, yolk weight, eggshell strength, haugh units, blood spots, meat spots |
|
Zita et al |
2009 |
Czechia |
Hisex Brown, Moravia BSL, ISA Brown |
20 - 60 |
Haugh units, albumen percentage, egg shape index, yolk index, egg weight, albumen weight, yolk percentage, eggshell weight, albumen index, eggshell percentage, eggshell thickness, yolk weight, shell deformation, shell strength, eggshell colour |
Laying age not indicated
Publication by year
Figure 2 present the publications by year. The findings indicated that the articles included were published between the year 2000 and 2023. Most of the articles were published in 2020 with five articles (n = 5) out of 26 included articles (Dudusola et al., 2020; Ibrahim et al., 2020; Kraus et al., 2020; Lordelo et al., 2020; Rizzi, 2020), followed by 2021 (Guni et al., 2021; Hanusova et al., 2021; Manyeula et al., 2021; Rakonjac et al., 2021) that had four published articles (n = 4) out of 26 included articles.
Publication by country
The publications by country are shown in Figure 3. The findings showed that twenty-six (n=26) articles were published in different countries all over the world. These articles were from eleven (n = 11) different countries and
Nigeria had the highest number of articles, with six articles (n= 6), followed by Czech Republic (Zita et al., 2009; Ledvinka et al., 2012; Kraus and Zita, 2019), Italy (Rizzi and Chiericato, 2005, a; Rizzi, 2020) and Serbia (Rajkumar et al., 2009; Petricevic et al., 2017; Rakonjac et al., 2021), with three articles each (n=3). The other three countries, including Portugal (Lordelo et al., 2020), Tanzania (Guni et al., 2021) and Botswana (Manyeula et al., 2021) had one article each (n=1) out of 26 included articles.
Publication by subject
Publications by subject for the articles utilised in the review are shown in Figure 4. The findings showed that out of 26 articles included, seven articles (n=7) studied the effect of breed, and seven articles (n=7) studied the effect of age, while twelve articles (n=12) studied the effect of both breed and age on egg quality characteristics.
Publication by breed
The findings showed that out of 26 articles included, the majority used ISA Brown chicken breed (n=8), followed by Hy-line Brown (Rizzi and Chiericato, 2005, a; Sokolowicz et al., 2018; Kraus and Zita, 2019) which was used in four of the articles (n = 4; Figure 5). Rhode Island Red breed (Hanusova et al., 2015; Sokolowicz et al., 2018; Calik and Obrzut, 2023), Ermellinata of Rovigo (Rizzi and Chiericato, 2005, a; Rizzi, 2020), and Robusta maculata (Rizzi and Chiericato, 2005, a; Rizzi, 2020) were used in three of the included articles (n = 3).
AA, Abor Acre; AD, Amberlin Dekalb; BNB, Bovan Nera Black; BB, Bowans Brown; DR, Dahlem Red; DB, Dominant Brown; DL, Dominant Leghorn; ER, Ermellinata of Rovigo; FE, Fulani ecotype, GLP, Green leg Patridge; Hisex B, Hisex Brown; HB, Hy-line Brown; HW, Hy-line White; ISA B, ISA Brown; ISA W, ISA White; M BSL, Moravia BSL; NN, Naked Neck; NH, New Hampshire; NF, Normal feather; RIR, Rhode Island Red; RIW, Rhode Island White; RM, Robusta maculata; RBB, Ross Broiler breeder; TSL, Tetra SL.
Effect of breed on internal egg quality traits
Table 2 presents the findings of the included articles on the influence of breed on internal egg quality parameters. Out of 26 articles included articles, eighteen of them (n = 18) investigated the influence of breed on internal egg quality parameters. The internal egg quality parameters that were investigated in most of the included articles were haugh units (n = 17), albumen height (n = 12), yolk weight (n = 12), and albumen weight (n = 10). Haugh units was investigated in seventeen articles (n = 17), where twelve articles (n = 12) indicated that breed had a significant effect on haugh units, and five articles (n = 5) showed that breed had no significant influence on haugh units. Out of eighteen included articles (n = 18), twelve of them (n = 12) investigated yolk weight and albumen height where nine articles (n = 9) indicated that breed had a significant effect on yolk weight and albumen height while three articles (n = 3) indicated that breed had no significant influence on yolk weight and albumen height. Albumen weight was investigated in ten articles (n = 10), where eight articles (n = 8) indicated that breed had a significant effect on albumen weight, and two articles (n = 2) indicated that breed had no significant effect on albumen weight.
Table 2: Effect of breed on internal egg quality traits.
|
Author |
Breed |
Egg quality traits |
Significance |
|
Calik and Obrzut (2023) |
Rhode Island Red, Rhode Island White |
Yolk weight |
* |
|
Haugh unit |
* |
||
|
Yolk colour |
* |
||
|
Albumen height |
* |
||
|
Yolk content |
* |
||
|
Guni et al. (2021) |
Sasso and Kuroiler |
Albumen weight |
ns |
|
Yolk ratio |
ns |
||
|
Haugh unit |
* |
||
|
Albumen height |
* |
||
|
Yolk weight |
* |
||
|
Albumen ratio |
ns |
||
|
Hanusová et al. (2015) |
Rhode Island Red and Oravka |
Haugh unit |
* |
|
Albumen height |
ns |
||
|
Yolk colour |
* |
||
|
Albumen width |
ns |
||
|
Yolk index |
* |
||
|
Albumen index |
ns |
||
|
Yolk weight |
* |
||
|
Albumen percentage |
ns |
||
|
Yolk width |
ns |
||
|
Albumen weight |
* |
||
|
Yolk percentage |
ns |
||
|
Yolk height |
ns |
||
|
Ibrahim et al. (2020) |
Amberlin Dekalb, Isa Brown and Bovan Nera black |
Yolk height |
* |
|
Yolk index |
* |
||
|
Yolk width |
* |
||
|
Albumen height |
* |
||
|
Albumen index |
* |
||
|
Yolk length |
* |
||
|
Albumen width |
ns |
||
|
Haugh unit |
* |
||
|
Albumen length |
* |
||
|
Kabir et al. (2014) |
Nera Black and Isa Brown |
Albumen height |
ns |
|
Yolk weight |
* |
||
|
Haugh unit |
ns |
||
|
Yolk height |
* |
||
|
Albumen weight |
* |
||
|
Kraus and Zita (2019) |
Dominant Brown and Dominant Leghorn |
Yolk proportion |
* |
|
Albumen proportion |
* |
||
|
Yolk index |
ns |
||
|
Albumen index |
* |
||
|
Yolk colour |
* |
||
|
Haugh unit |
* |
||
|
Table continues on next column........ |
|||
|
Author |
Breed |
Egg quality traits |
Significance |
|
Kraus et al. (2020) |
ISA Brown and Hy-Line Brown |
Yolk weight |
* |
|
Albumen index |
ns |
||
|
Haugh unit |
ns |
||
|
Yolk index |
* |
||
|
Albumen weight |
* |
||
|
Ledvinka et al. (2012) |
Hisex Brown, Moravia BSL, ISA Brown |
Yolk : albumen ratio |
* |
|
Haugh unit |
* |
||
|
Albumen index |
* |
||
|
Yolk index |
* |
||
|
Yolk weight |
* |
||
|
Albumen weight |
* |
||
|
Yolk colour |
* |
||
|
Lordelo et al. (2020) |
Hybrid, Amarela, Branca, Pedres and Preta |
Yolk percentage |
* |
|
Haugh unit |
* |
||
|
Albumen percentage |
* |
||
|
Yolk colour |
* |
||
|
Albumen pH |
* |
||
|
Yolk pH |
* |
||
|
Oleforuh Okoleh et al. (2018) |
Normal feather and Naked neck |
Albumen weight |
* |
|
Albumen length |
ns |
||
|
Albumen height |
* |
||
|
Haugh unit |
ns |
||
|
Albumen index |
* |
||
|
Albumen pH |
ns |
||
|
Yolk breadth |
ns |
||
|
Yolk index |
* |
||
|
Yolk pH |
ns |
||
|
Yolk height |
* |
||
|
Yolk length |
ns |
||
|
Albumen breadth |
ns |
||
|
Yolk weight |
ns |
||
|
Petricevic et al. (2017) |
Tetra SL and Bowans Brown |
Albumen height |
* |
|
Haugh unit |
* |
||
|
Rajkumar et al. (2009) |
Naked Neck |
Albumen weight |
ns |
|
Albumen height |
ns |
||
|
Yolk colour |
* |
||
|
Yolk weight |
ns |
||
|
Yolk height |
* |
||
|
Albumen width |
ns |
||
|
Yolk index |
* |
||
|
Haugh unit |
ns |
||
|
Yolk width |
ns |
||
|
Rakonjac et al. (2021) |
New Hampshire and Isa Brown |
Haugh unit |
* |
|
Yolk proportion |
* |
||
|
Albumen proportion |
* |
||
|
Albumen height |
* |
||
|
Table continues on next page........ |
|||
|
Author |
Breed |
Egg quality traits |
Significance |
|
Rizzi (2020) |
Isa Brown and New Hampshire |
Yolk percentage |
ns |
|
Haugh unit |
ns |
||
|
Yolk weight |
* |
||
|
Albumen percentage |
* |
||
|
Yolk : albumen ratio |
ns |
||
|
Albumen weight |
* |
||
|
Rizzi and Chiericato (2005) |
Robusta maculata, Hy-Line White, Ermellinata of Rovigo, Hy-Line Brown |
Albumen height |
* |
|
Albumen pH |
* |
||
|
Haugh unit |
* |
||
|
Scott and Silversides (2000) |
ISA-Brown, ISA-White |
Albumen weight |
* |
|
Yolk percentage |
* |
||
|
Albumen pH |
ns |
||
|
Yolk weight |
* |
||
|
Albumen percentage |
* |
||
|
Albumen height |
* |
||
|
Sokołowicz et al. (2018) |
Rhode Island Red, Hy-line Brown, Green leg Partridge |
Yolk weight |
ns |
|
Yolk colour |
ns |
||
|
Blood spots |
ns |
||
|
Meat spots |
* |
||
|
Albumen height |
* |
||
|
Haugh unit |
* |
||
|
Zita et al. (2009) |
Hisex Brown, ISA Brown, Moravia BSL |
Yolk weight |
* |
|
Yolk percentage |
* |
||
|
Albumen weight |
* |
||
|
Haugh unit |
* |
||
|
Yolk index |
* |
||
|
Albumen percentage |
* |
||
|
Albumen index |
ns |
||
*, Significant at p≤ 0.10; ns, non-significant.
Effect of breed on external egg quality traits
Table 3 indicates the findings of the included articles on the influence of breed on external egg quality characteristics. Out of 26 articles included articles, nineteen of them (n = 19) investigated the influence of breed on external egg quality parameters. The external egg quality parameters that were investigated in most of the included articles were egg weight (n = 18), egg shape index (n = 16), eggshell thickness (n = 15), and eggshell weight (n = 14). Out of 19 included articles, eighteen of them (n = 18) investigated egg weight and it was found that sixteen of the articles (n = 16) indicated that breed had a significant effect on egg weight while two of the articles (n = 2) indicated that breed had no significant effect on egg weight. Egg shape index was investigated in sixteen articles (n = 16), where ten articles (n = 10) showed that breed had a significant effect on egg shape index, and six articles (n = 6) indicated that breed had no significant effect on egg shape index. Eggshell thickness was investigated in fifteen articles (n = 15), where thirteen articles (n = 13) indicated that breed had a significant effect on eggshell thickness, and two articles (n = 2) indicated that breed had no significant effect on eggshell thickness. Out of nineteen included articles (n = 19), fourteen of them (n = 14) investigated eggshell weight and it was found that eight articles (n = 8) indicated that breed had a significant effect on eggshell weight while six articles (n = 6) indicated that breed had no significant effect on eggshell weight.
Table 3: Effect of breed on external egg quality traits.
|
Author |
Breed |
Egg quality traits |
Significance |
|
Aminami et al. (2022) |
Marshall and Abor Acre |
Egg weight |
* |
|
Egg shape index |
ns |
||
|
Egg length |
ns |
||
|
Egg width |
ns |
||
|
Calik and Obrzut (2023) |
Rhode Island Red, Rhode Island White |
Egg weight |
* |
|
Eggshell colour |
* |
||
|
Eggshell density |
* |
||
|
Eggshell thickness |
* |
||
|
Egg shape index |
* |
||
|
Eggshell weight |
* |
||
|
Guni et al. (2021) |
Sasso and Kuroiler |
Egg length |
* |
|
Eggshell thickness |
ns |
||
|
Eggshell weight |
ns |
||
|
Egg shape index |
ns |
||
|
Egg width |
ns |
||
|
Eggshell ratio |
ns |
||
|
Egg weight |
* |
||
|
Hanusová et al. (2015) |
Rhode Island Red and Oravka |
Egg width |
* |
|
Eggshell thickness |
* |
||
|
Egg length |
* |
||
|
Egg shape index |
ns |
||
|
Eggshell weight |
* |
||
|
Shell percentage |
* |
||
|
Egg weight |
* |
||
|
Ibrahim et al. (2020) |
Amberlin Dekalb, Isa Brown and Bovan Nera black |
Eggshell thickness |
* |
|
Egg shape index |
* |
||
|
Egg width |
ns |
||
|
Eggshell weight |
* |
||
|
Shell percentage |
* |
||
|
Egg weight |
* |
||
|
Egg length |
* |
||
|
Table continues on next page........ |
|||
|
Author |
Breed |
Egg quality traits |
Significance |
|
Kabir et al. (2014) |
Nera Black and Isa Brown |
Eggshell weight |
* |
|
Egg width |
ns |
||
|
Eggshell thickness |
* |
||
|
Egg weight |
* |
||
|
Egg length |
ns |
||
|
Kraus and Zita (2019) |
Dominant Brown and Dominant Leghorn |
Egg weight |
* |
|
Shell colour |
* |
||
|
Egg shape index |
* |
||
|
Eggshell thickness |
* |
||
|
Eggshell strength |
* |
||
|
Eggshell proportion |
* |
||
|
Kraus et al. (2020) |
ISA Brown and Hy-Line Brown |
Eggshell thickness |
* |
|
Shell colour |
* |
||
|
Shell weight |
ns |
||
|
Egg weight |
* |
||
|
Shell strength |
* |
||
|
Egg shape index |
* |
||
|
Ledvinka et al. (2012) |
Hisex Brown, Moravia BSL, ISA Brown |
Eggshell thickness |
* |
|
Shell index |
* |
||
|
Egg surface |
* |
||
|
Eggshell colour |
* |
||
|
Shell strength |
* |
||
|
Egg shape index |
* |
||
|
Egg weight |
* |
||
|
Eggshell weight |
* |
||
|
Lordelo et al. (2020) |
Hybrid, Amarela, Branca, Pedres and Preta |
Egg weight |
* |
|
Eggshell colour |
* |
||
|
Shell percentage |
* |
||
|
Egg shape index |
* |
||
|
Oleforuh Okoleh et al. (2018) |
Normal feather and Naked neck |
Eggshell thickness |
* |
|
Egg shape index |
ns |
||
|
Egg length |
* |
||
|
Shell weight |
ns |
||
|
Egg weight |
* |
||
|
Egg breadth |
* |
||
|
Petricevic et al. (2017) |
Tetra SL and Bowans Brown |
Eggshell thickness |
* |
|
Egg shape index |
ns |
||
|
Shell deformation |
ns |
||
|
Breaking force |
ns |
||
|
Eggshell weight |
ns |
||
|
Egg weight |
ns |
||
|
Rajkumar et al. (2009) |
Naked Neck |
Eggshell thickness |
ns |
|
Egg length |
ns |
||
|
Egg shape index |
ns |
||
|
Table continues on next column........ |
|||
|
Author |
Breed |
Egg quality traits |
Significance |
|
Egg width |
ns |
||
|
Eggshell weight |
ns |
||
|
Egg weight |
ns |
||
|
Rakonjac et al. (2021) |
New Hampshire and Isa Brown |
Shell strength |
* |
|
Shell deformation |
* |
||
|
Eggshell thickness |
* |
||
|
Egg shape index |
* |
||
|
Egg weight |
* |
||
|
Rizzi (2020) |
Isa Brown and New Hampshire |
Shell weight |
ns |
|
Egg shape index |
* |
||
|
Shell thickness |
* |
||
|
Eggshell length |
* |
||
|
Eggshell width |
* |
||
|
Rizzi and Chiericato (2005) |
Hy-Line White, Ermellinata of Rovigo, Hy-Line Brown, Robusta maculata |
Egg weight |
* |
|
Scott and Silversides (2000) |
ISA-White and ISA-Brown |
Shell percentage |
* |
|
Eggshell weight |
* |
||
|
Egg weight |
* |
||
|
Sokołowicz et al. (2018) |
Rhode Island Red, Hy-line Brown, Green leg Partridge |
Shell weight |
* |
|
Egg shape index |
* |
||
|
Shell density |
* |
||
|
Shell thickness |
* |
||
|
Egg weight |
* |
||
|
Shell strength |
ns |
||
|
Eggshell colour |
* |
||
|
Zita et al. (2009) |
Hisex Brown, Moravia BSL and ISA Brown |
Eggshell thickness |
* |
|
Shell weight |
* |
||
|
Shell percentage |
* |
||
|
Eggshell strength |
* |
||
|
Eggshell colour |
* |
||
|
Eggshell deformation |
* |
||
|
Egg weight |
* |
||
|
Egg shape index |
* |
||
*, Significant at p≤ 0.10; ns, non-significant.
Effect of age on internal egg quality traits
Table 4 indicates the findings of the included articles on the effect of age on internal egg quality characteristics. Out of 26 included articles, eighteen of them (n = 18) investigated the effect of age on internal egg quality characteristics. The egg quality parameters that were investigated in most of the included articles were haugh units (n = 15), albumen height (n = 11), yolk weight (n = 11), yolk index (n = 11), and albumen weight (n = 10). Haugh units was investigated in sixteen articles (n = 16) , where thirteen articles (n = 13) showed that age had a significant effect on haugh units, and two of them (n = 3) indicated that age had no significant effect on haugh units. Out of eighteen included articles (n = 18), eleven of them (n = 11) investigated albumen height where nine articles (n = 9) indicated that age had a significant effect on albumen height while two articles (n = 2) showed that breed had no significant effect on albumen height. Eleven articles (n = 11) investigated yolk weight where ten articles (n = 10) indicated that age had a significant effect on yolk weight while one article (n = 1) showed that age had no significant effect on yolk weight. Yolk index was also investigated in eleven articles (n = 11), where nine articles (n = 9) showed that age had a significant effect on yolk index, and two articles (n = 2) indicated that breed had no significant influence on yolk index. Albumen weight was investigated in ten articles (n = 10), where nine articles (n = 9) showed that age had a significant effect on albumen weight, and one article (n = 1) indicated that age had no significant effect on albumen weight.
Table 4: Effect of age on internal egg quality traits.
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Calik and Obrzut (2023) |
Rhode Island Red, Rhode Island White |
33, 53 weeks |
Yolk weight |
ns |
|
Yolk colour |
* |
|||
|
Yolk content |
ns |
|||
|
Albumen height |
ns |
|||
|
Haugh unit |
ns |
|||
|
Dinesh et al. (2022) |
Dahlem Red |
21, 28, 40, 52, 64 weeks |
Yolk height |
* |
|
Albumen width |
* |
|||
|
Haugh unit |
ns |
|||
|
Albumen index |
ns |
|||
|
Yolk width |
* |
|||
|
Albumen length |
* |
|||
|
Yolk index |
ns |
|||
|
Albumen height |
* |
|||
|
Dudusola et al. (2020) |
Noiler |
26, 46 weeks |
Haugh unit |
* |
|
Albumen height |
* |
|||
|
Yolk width |
* |
|||
|
Yolk + albumen weight |
* |
|||
|
Yolk height |
* |
|||
|
Yolk index |
* |
|||
|
Hanusová et al. (2021) |
Oravka |
28, 32, 52 weeks |
Yolk width |
* |
|
Albumen width |
* |
|||
|
Yolk index |
* |
|||
|
Albumen height |
* |
|||
|
Haugh unit |
* |
|||
|
Albumen weight |
* |
|||
|
Table continues on next column........ |
||||
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Yolk height |
* |
|||
|
Yolk percentage |
* |
|||
|
Albumen percentage |
* |
|||
|
Yolk weight |
* |
|||
|
Albumen index |
* |
|||
|
Yolk colour |
* |
|||
|
Kabir et al. (2014) |
Nera Black, Isa Brown |
26, 32, 38 weeks |
Yolk weight |
* |
|
Haugh unit |
ns |
|||
|
Albumen height |
ns |
|||
|
Albumen weight |
ns |
|||
|
Yolk height |
ns |
|||
|
Kraus et al. (2020) |
ISA Brown, Hy-Line Brown |
28, 35, 59 weeks |
Albumen weight |
* |
|
Yolk index |
* |
|||
|
Haugh unit |
* |
|||
|
Yolk weight |
* |
|||
|
Albumen index |
* |
|||
|
Kraus and Zita (2019) |
Dominant Brown, Dominant Leghorn |
36, 40, 44, 48, 52, 56, 60, 64 weeks |
Albumen index |
* |
|
Yolk proportion |
* |
|||
|
Haugh unit |
* |
|||
|
Yolk index |
* |
|||
|
Albumen proportion |
* |
|||
|
Yolk colour |
ns |
|||
|
Ledvinka et al. (2012) |
Hisex Brown, Moravia BSL, ISA Brown |
20-60 weeks |
Yolk weight |
* |
|
Yolk index |
* |
|||
|
Yolk: albumen ratio |
* |
|||
|
Haugh unit |
* |
|||
|
Albumen weight |
* |
|||
|
Albumen index |
* |
|||
|
Yolk colour |
* |
|||
|
Manyeula et al. (2021) |
Ross broiler breeder |
30, 45, 60 weeks |
Yolk weight |
* |
|
Yolk height |
* |
|||
|
Yolk width |
* |
|||
|
Egg content |
* |
|||
|
Egg volume |
* |
|||
|
Haugh unit |
* |
|||
|
Yolk index |
ns |
|||
|
Albumen weight |
* |
|||
|
Thin albumen |
* |
|||
|
Thick albumen |
* |
|||
|
Ogunshola et al. (2018) |
Fulani ecotype |
20, 22, 24 weeks |
Yolk weight |
* |
|
Albumen height |
* |
|||
|
Yolk index |
* |
|||
|
Albumen width |
* |
|||
|
Haugh unit |
* |
|||
|
Table continues on next page........ |
||||
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Albumen length |
* |
|||
|
Yolk width |
ns |
|||
|
Albumen index |
* |
|||
|
Yolk height |
* |
|||
|
Albumen weight |
* |
|||
|
Oleforuh Okoleh et al. (2018) |
Normal feather, Naked neck |
22, 26, 30, 34 weeks |
Albumen length |
* |
|
Albumen index |
* |
|||
|
Yolk breadth |
* |
|||
|
Yolk weight |
* |
|||
|
Yolk height |
* |
|||
|
Albumen breadth |
* |
|||
|
Haugh unit |
* |
|||
|
Yolk pH |
* |
|||
|
Yolk index |
* |
|||
|
Albumen pH |
* |
|||
|
Yolk length |
* |
|||
|
Albumen weight |
* |
|||
|
Albumen height |
* |
|||
|
Petricevic et al. (2017) |
Tetra SL, Bowans Brown |
35, 45, 55, 65 weeks |
Albumen height |
* |
|
Haugh unit |
* |
|||
|
Rajkumar et al. (2009) |
Naked Neck |
28, 32, 36, 40 weeks |
Albumen width |
* |
|
Yolk colour |
* |
|||
|
Albumen height |
* |
|||
|
Yolk index |
* |
|||
|
Albumen weight |
* |
|||
|
Yolk weight |
* |
|||
|
Haugh unit |
* |
|||
|
Yolk width |
* |
|||
|
Yolk height |
* |
|||
|
Rizzi (2020) |
Isa Brown, New Hampshire |
36, 50 weeks |
Haugh unit |
* |
|
Albumen percentage |
* |
|||
|
Albumen weight |
* |
|||
|
Yolk : albumen ratio |
* |
|||
|
Yolk percentage |
* |
|||
|
Yolk weight |
* |
|||
|
Rizzi and Chiericato (2005) |
Ermellinata of Rovigo, Hy-Line White, Robusta maculata, Hy-Line Brown |
30, 34, 38, 42 weeks |
Haugh unit |
* |
|
Albumen pH |
* |
|||
|
Albumen height |
* |
|||
|
Table continues on next column........ |
||||
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Rizzi and Chiericato (2005) |
Ermellinata of Rovigo, Hy-Line White, Robusta maculata, Hy-Line Brown |
30, 40 weeks |
Albumen percentage |
* |
|
Yolk : albumen ratio |
* |
|||
|
Yolk percentage |
* |
|||
|
Yolk percentage |
* |
|||
|
Silversides and Scott (2001) |
ISA-White, ISA-Brown |
25, 31, 49, 51 weeks |
Albumen pH |
* |
|
Albumen percentage |
* |
|||
|
Albumen height |
* |
|||
|
Yolk percentage |
* |
|||
|
Zita et al. (2009) |
ISA Brown, Moravia BSL, Hisex Brown |
20-60 weeks |
Yolk index |
* |
|
Albumen percentage |
* |
|||
|
Yolk weight |
* |
|||
|
Albumen weight |
* |
|||
|
Yolk percentage |
* |
|||
|
Albumen index |
ns |
|||
|
Haugh unit |
* |
|||
*, Significant at p≤ 0.10; ns, non-significant.
Effect of age on external egg quality traits
Table 5 shows the findings of the included articles on the effect of age on external egg quality characteristics. Out of 26 included articles, nineteen of them (n = 19) investigated the effect of age on external egg quality characteristics. The external egg quality parameters that were investigated in most of the included articles were egg weight (n = 18), eggshell thickness (n = 16), egg shape index (n = 14), and eggshell weight (n = 11). Egg weight was investigated in eighteen articles (n = 18) , where sixteen articles (n = 16) indicated that age had a significant effect on egg weight while two articles (n = 2) indicated that age had no significant effect on egg weight. Out of nineteen included articles (n = 19), sixteen (n = 16) investigated eggshell thickness and it was found that ten articles (n = 10) indicated that age had a significant effect on eggshell thickness while six articles (n = 6) indicated that age had no significant influence on eggshell thickness. Egg shape index was investigated in fourteen articles (n = 14), where ten articles (n = 10) indicated that age had a significant effect on egg shape index, and four articles (n = 4) indicated that age had no significant effect on egg shape index. Eleven articles (n = 11) investigated eggshell weight where nine articles (n = 9) showed that age had a significant effect on eggshell weight while two articles (n = 2) indicated that breed had no significant influence on eggshell weight.
Table 5: Effect of age on external egg quality traits.
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Aminami et al. (2022) |
Marshall, Abor Acre |
26-52 weeks |
Egg length |
* |
|
Egg shape index |
* |
|||
|
Egg weight |
* |
|||
|
Egg width |
* |
|||
|
Calik and Obrzut (2023) |
Rhode Island Red, Rhode Island White |
33, 53 weeks |
Shell density |
ns |
|
Shell colour |
* |
|||
|
Shell weight |
* |
|||
|
Egg shape index |
* |
|||
|
Egg weight |
* |
|||
|
Shell thickness |
* |
|||
|
Shell strength |
* |
|||
|
Dinesh et al. (2022) |
Dahlem Red |
21, 28, 40, 52, 64 weeks |
Egg width |
* |
|
Shell thickness |
* |
|||
|
Egg shape index |
ns |
|||
|
Egg length |
* |
|||
|
Egg weight |
* |
|||
|
Dudusola et al. (2020) |
Noiler |
26, 46 weeks |
Shell thickness |
* |
|
Egg length |
* |
|||
|
Shell surface area |
* |
|||
|
Egg shape index |
ns |
|||
|
Egg width |
* |
|||
|
Egg weight |
* |
|||
|
Hanusová et al. (2021) |
Oravka |
28, 32, 52 weeks |
Egg weight |
* |
|
Eggshell percentage |
* |
|||
|
Egg width |
* |
|||
|
Egg shape index |
ns |
|||
|
Eggshell weight |
* |
|||
|
Eggshell thickness |
* |
|||
|
Egg length |
* |
|||
|
Kabir et al. (2014) |
Nera Black, Isa Brown |
26, 32, 38 weeks |
Egg weight |
ns |
|
Shell thickness |
ns |
|||
|
Egg length |
ns |
|||
|
Shell weight |
ns |
|||
|
Egg width |
ns |
|||
|
Kraus et al. (2020) |
ISA Brown, Hy-Line Brown |
28, 35, 59 weeks |
Eggshell colour |
* |
|
Shell weight |
* |
|||
|
Egg shape index |
* |
|||
|
Shell thickness |
ns |
|||
|
Shell strength |
* |
|||
|
Egg weight |
* |
|||
|
Kraus and Zita (2019) |
Dominant Brown, Dominant Leghorn |
36, 40, 44, 48, 52, 56, 60, 64 weeks |
Eggshell proportion |
* |
|
Table continues on next column........ |
||||
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Shell strength |
* |
|||
|
Egg weight |
* |
|||
|
Eggshell colour |
* |
|||
|
Egg shape index |
* |
|||
|
Eggshell thickness |
* |
|||
|
Ledvinka et al. (2012) |
Hisex Brown, Moravia BSL, ISA Brown |
20-60 weeks |
Eggshell colour |
* |
|
Egg shape index |
* |
|||
|
Shell thickness |
* |
|||
|
Shell index |
* |
|||
|
Eggshell strength |
ns |
|||
|
Egg weight |
* |
|||
|
Eggshell weight |
* |
|||
|
Egg surface |
* |
|||
|
Manyeula et al. (2021) |
Ross broiler breeder |
30, 45, 60 weeks |
Shell thickness |
ns |
|
Egg length |
* |
|||
|
Eggshell percentage |
* |
|||
|
Egg weight |
* |
|||
|
Egg surface area |
* |
|||
|
Shell weight |
* |
|||
|
Egg width |
* |
|||
|
Egg shape index |
* |
|||
|
Ogunshola et al. (2018) |
Fulani ecotype |
20, 22, 24 weeks |
Egg weight |
* |
|
Shell thickness |
ns |
|||
|
Egg width |
* |
|||
|
Shell weight |
ns |
|||
|
Egg length |
* |
|||
|
Oleforuh Okoleh et al. (2018) |
Normal feather, Naked neck |
22, 26, 30, 34 weeks |
Eggshell thickness |
* |
|
Egg length |
* |
|||
|
Eggshell weight |
* |
|||
|
Egg weight |
* |
|||
|
Egg shape index |
* |
|||
|
Egg breadth |
* |
|||
|
Petricevic et al. (2017) |
Tetra SL, Bowans Brown |
35, 45, 55, 65 weeks |
Eggshell mass |
ns |
|
Egg shape index |
* |
|||
|
Eggshell thickness |
ns |
|||
|
Breaking force |
ns |
|||
|
Shell deformation |
ns |
|||
|
Egg weight |
ns |
|||
|
Rajkumar et al. (2009) |
Naked Neck |
28, 32, 36, 40 weeks |
Eggshell weight |
* |
|
Egg length |
* |
|||
|
Eggshell thickness |
* |
|||
|
Egg weight |
* |
|||
|
Shell width |
* |
|||
|
Egg shape index |
ns |
|||
|
Table continues on next page........ |
||||
|
Author |
Breed |
Age |
Egg quality traits |
Significance |
|
Egg width |
* |
|||
|
Eggshell length |
* |
|||
|
Rizzi (2020) |
Isa Brown, New Hampshire |
36, 50 weeks |
Shell width |
* |
|
Eggshell thickness |
* |
|||
|
Egg shape index |
ns |
|||
|
Shell weight |
* |
|||
|
Shell length |
* |
|||
|
Rizzi and Chiericato (2005) |
Ermellinata of Rovigo, Hy-Line White, Robusta maculata, Hy-Line Brown |
30, 34, 38, 42 weeks |
Egg weight |
* |
|
Rizzi and Chiericato (2005) |
Ermellinata of Rovigo, Hy-Line White, Robusta maculata, Hy-Line Brown |
30, 40 weeks |
Egg weight |
* |
|
Eggshell thickness |
ns |
|||
|
Eggshell percentage |
ns |
|||
|
Silversides and Scott (2001) |
ISA-White, ISA-Brown |
25, 31, 49, 51 weeks |
Egg weight |
* |
|
Shell percentage |
* |
|||
|
Albumen pH |
* |
|||
|
Zita et al. (2009) |
Hisex Brown, ISA Brown, Moravia BSL |
20-60 weeks |
Egg weight |
* |
|
Shell deformation |
* |
|||
|
Eggshell weight |
* |
|||
|
Shell strength |
* |
|||
|
Shell colour |
* |
|||
|
Egg shape index |
* |
|||
|
Shell thickness |
* |
|||
|
Shell percentage |
* |
|||
*, Significant at p≤ 0.10; ns, non-significant.
DISCUSSION
Breed and age are one of the most essential factors influencing egg quality (Kraus and Zita, 2019). Egg quality parameters (internal and external) are critical for both consumers and the egg production sector (Silversides and Scott, 2001). The systematic review was conducted to provide information on the influence of breed and age on egg quality parameters of chickens using 26 included articles. The findings of this systematic review indicated that 19 out of 26 articles studied the effect of breed on egg quality characteristics, while 19 other articles investigated the effect of age on egg quality parameters. Most of the reviewed articles indicated that breed had an effect on egg shape index, egg weight, eggshell thickness, albumen weight, haugh units, shell weight, yolk weight, eggshell colour, yolk index, albumen percentage, yolk height, eggshell percentage, yolk colour, albumen index, eggshell strength, albumen height, egg length, yolk percentage. However, three included articles (Rajkumar et al., 2009; Hanusová et al., 2015; Ibrahim et al., 2020) that investigated albumen width indicated that breed did not affect albumen width. Commercial chicken breeds such as the Isa Brown, Hisex Brown, Hy-line Brown, Isa White, Hy-line white, Kuroiler, Moravia BSL, Tetra SL, Abor Acre, Dominant Brown, and indigenous chicken breeds, including the Rhode Island Red, Oravka, Amarela, Pedres, Preta, Ermellinata of Rovigo, and Robusta maculata, had better egg quality traits compared to the other breeds included in the systematic review. Sinha et al. (2018) conducted a review study on the estimate and effect of breeds on egg quality traits of poultry, and it was found that breed significantly influenced the majority of egg quality traits, except for the Haugh unit and egg shape index. It was found that the improved varieties, such as the Gramapriya and Vanaraja, performed well compared to the other indigenous chicken breeds. The majority of included articles indicated that age affected shell thickness, yolk weight, eggshell weight, albumen height, yolk index, albumen weight, egg shape index, egg length, yolk height, albumen percentage, yolk: Albumen ratio, haugh units, egg width, albumen index, egg weight, shell strength, yolk width, albumen pH, eggshell colour, yolk percentage, albumen width, yolk colour, albumen length, and shell deformation. The results indicated that most of the egg quality traits improved with an increase in age and were optimum above 40 weeks of age. However, eggshell quality decreased as age increased. However, according to the authors’ knowledge, this is the first systematic review to report on the effect of breed and age on egg quality characteristics of chickens. This systematic review’s findings imply that breed and age may be utilised to improve the egg quality parameters of chickens. This systematic review’s strength is that no study similar to this one has been carried out on the influence of breed and age on chickens. The systematic review contributes to the body of knowledge by suggesting that breed and age significantly affect egg quality characteristics in chickens, with certain breeds having superior egg characteristics and age-related changes affecting internal and external egg quality parameters.
Conclusion and recommendations
In conclusion, breed as well as age affect the egg quality parameters and may be utilised during breeding as a selection criterion to improve the egg quality traits of chickens. The systematic review suggests that there is lack of information on the effect of breed as well as age on egg quality parameters of indigenous chickens. Therefore, it is recommended that more research be conducted to evaluate egg quality parameters like the eggshell thickness, yolk colour, eggshell strength, egg weight, eggshell colour, and haugh unit in indigenous chickens, including the naked neck. Research should also be carried out to study the effect of other factors such as the environment, genetics, and nutrition on egg quality parameters of chickens.
ACKNOWLEDGEMENT
This systematic review was supported by the Department of Agricultural Economics and Animal Production at the University of Limpopo.
Novelty Statement
This study offers valuable information on how both breed and age effect on egg quality traits of chickens. The findings provide important insights for improving breeding strategies and thus egg quality traits of chickens.
AUTHOR’S CONTRIBUTION
All authors contributed to the writing of this manuscript. The first draft of the manuscript was written by Prudence Shibe Mokgapa. The manuscript was then revised by Thobela Louis Tyasi and Joseph Thinawanga Mugwabana. The final manuscript was read and then approved by all the authors.
Generative AI and AI-assisted technology statement
The authors state that no Generative AI was used to prepare this manuscript.
Conflict of interest
The authors have declared no conflict of interest.
REFERENCES
Aminami M, Aliyu J, Saleh B, Mukaddas J, Mbursa D, Zannah BB, Bulau MM (2022). Effects of genotype, age and season on body weight and some egg quality characteristics of broiler breeding stocks. Niger. J. Anim. Prod., pp. 107-111.
Calik J, Obrzut J (2023). Influence of genotype on productivity and egg quality of three hen strains included in a biodiversity program. Animals, 13(11): 1848. https://doi.org/10.3390/ani13111848
Dinesh K, Sankhyan V, Thakur D, Verma N, Bhardwaj N (2022). Effect of age on egg quality traits of Dahlem Red chicken under intensive system of management in Himachal Pradesh. Indian J. Anim. Sci., 92(3): 347-352. https://doi.org/10.56093/ijans.v92i3.122268
Dudusola I, Bashiru HA, Adeleke OE (2020). Effect of laying age and plumage colour on internal and external quality characteristics of Noiler chicken eggs. Slovak J. Anim. Sci., 53(4): 192-198.
Guni FS, Mbaga SH, Katule AM , Goromela EH (2021). Effects of breed and management system on egg quality traits of two improved dual-purposes chicken breeds. Livest. Res. Rural Dev., 33(12): 552-555.
Hanusova E, Hanus A, Hrnčár C (2021). Eggs quality of Oravka breed hens depending on hens age. Acta Fytotech. Zoot., 24 https://doi.org/10.15414/afz.2021.24.mi-prap.11-14.
Hanusová E, Hrnčár C, Hanus A, Oravcová M (2015). Effect of breed on some parameters of egg quality in laying hens. Acta Fytotech. Zoot., 18 (1): 20-24. https://doi.org/10.15414/afz.2015.18.01.12-24
Ibrahim AA, Abare MY, Salisu IB, Abdulkarim A (2020). Effects of strain and storage period on some quality characteristics of chicken eggs. Niger. J. Anim. Sci. Technol., 3(2): 52-65.
Kabir M, Sulaiman RO, Idris RK, Abdu SB, Daudu OM, Yashim SM, Hassan MR, Adamu HY, Eche NM, Olugbemi TS, Adedibu II (2014). Effects of strain, age and the interrelationships between external and internal qualities of eggs in two strains of layer chickens in northern Guinea savannah zone of Nigeria.
Kraus A, Zita L (2019). The effect of age and genotype on quality of eggs in brown egg-laying hybrids. Acta Univ. Agric. Silvicult. Mendelianae Brunensis, 67(2). https://doi.org/10.11118/actaun201967020407
Kraus A, Zita L, Krunt O, Volek Z, Tyller M, Anderle V (2020). Comparison of basic internal and external egg quality traits of brown and white egg-laying hens in relationship to their age. Acta Univ. Agric. Silvicult. Mendelianae Brunensis, 68(1). https://doi.org/10.11118/actaun202068010049
Kurniawan T, Firmansyah AM, Setiyawan AI, Rosyidah A, Yusmaman WM, Belgis M, Anggraeny YN, Syahputra AR, Hariadi H, Triyannanto E, Wahyuningsih R (2025). Effects of gamma irradiation on morphological characteristics and nutrient content of Arabic chicken egg powder. J. Anim. Health Prod., 13(2): 307-315. https://doi.org/10.17582/journal.jahp/2025/13.2.307.315
Ledvinka Z, Tůmová E, Englmaierová M, Podsedníček M (2012). Egg quality of three laying hen genotypes kept in conventional cages and on litter. Arch. Geflügelk, 76(1): 38-43. https://doi.org/10.1016/S0003-9098(25)01547-4
Lordelo M, Cid J, Cordovil CM, Alves SP, Bessa RJ, Carolino I (2020). A comparison between the quality of eggs from indigenous chicken breeds and that from commercial layers. Poult. Sci., 99(3): 1768-1776. https://doi.org/10.1016/j.psj.2019.11.023
Manyeula F, Sebolai B, Sempule G, Moreki JC (2021). Effects of broiler breeders’ Age on egg quality characteristics and their correlation coefficients. J. World’s Poult. Res., 11(3): 368-375. https://doi.org/10.36380/jwpr.2021.44
Moher D, Liberati A, Tetzlaff J, Altman DG (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Br. Med. J., 339. https://doi.org/10.1093/ptj/89.9.873
Ogunshola OJ, Bankole OA, Baki OI, Morenikeji OB, Chineke CA (2018). Effects of age and management system on egg quality traits of Fulani ecotype hens. Niger. J. Anim. Prod., pp. 19-21.
Oleforuh-Okoleh VU, Chukwuemeka UM, Adeoye GO (2018). Influence of strain and production cycle on egg quality traits of two Nigerian indigenous chicken strains. Niger. J. Anim. Prod., 45(2): 29-39. https://doi.org/10.51791/njap.v45i2.475
Petričević V, Škrbić Z, Lukić M, Petričević M, Dosković V, Rakonjac S, Marinković M (2017). Effect of genotype and age of laying hens on the quality of eggs and eggshells. Sci. Pap. Ser. D. Anim. Sci.,
Rajkumar U, Sharma RP, Rajaravindra KS, Niranjan M, Reddy BLN, Bhattacharya TK, Chatterjee RN (2009). Effect of genotype and age on egg quality traits in naked neck chicken under tropical climate from India. Int. J. Poult. Sci., 8(12): 1151-1155. https://doi.org/10.3923/ijps.2009.1151.1155
Rakonjac S, Dosković V, Bošković SB, Škrbić Z, Lukić M, Petričević V, Petrović DM (2021). Production performance and egg quality of laying hens as influenced by genotype and rearing system. Braz. J. Poult. Sci., 23(02). https://doi.org/10.1590/1806-9061-2019-1045
Rizzi C (2020). Laying hen biodiversity: The effect of genotype and age on the yield performance and egg quality of two Italian purebred chickens. https://doi.org/10.15414/afz.2020.23.mi-fpap.296-304
Rizzi C, Chiericato GM (2005). Effect of genotype and storage on some egg quality parameters of laying hens reared according to organic farming production.
Rizzi C, Chiericato GM (2005a). Organic farming production. Effect of age on the productive yield and egg quality of hens of two commercial hybrid lines and two local breeds. Ital. J. Anim. Sci., 4(3): 160-162. https://doi.org/10.4081/ijas.2005.3s.160
Scott TA, Silversides FG (2000). The effect of storage and strain of hen on egg quality. Poult. Sci., 79(12): 1725-1729. https://doi.org/10.1093/ps/79.12.1725
Silversides FG, Scott AT (2001). Effect of storage and layer age on quality of eggs from two lines of hens. Poult. Sci., 80(8): 1240-1245. https://doi.org/10.1093/ps/80.8.1240
Sinha B, Mandal K, Kumari R, Kumari T (2018). Estimate and effect of breeds on egg quality traits of poultry: A review. Int. J. Livest. Res., 8(4): 8-21. https://doi.org/10.5455/ijlr.20170812102444
Sokołowicz Z, Krawczyk J, Dykiel M (2018). Effect of alternative housing system and hen genotype on egg quality characteristics. Emirates J. Food Agric., 30(8): 695-703. https://doi.org/10.9755/ejfa.2018.v30.i8.1753
Sudrajat D, Wahyuni D, Malik B, Kardaya D (2024). Assessment of egg sensory quality in quails fed with a diet containing betel leaf (Piper betle L.) meal and extract. J. Anim. Health Prod., 12(3): 343-347. https://doi.org/10.17582/journal.jahp/2024/12.3.343.347
Vriezen R, Sargeant JM, Vriezen E, Reist M, Winder CB, O’Connor AM (2019). Systematic reviews and meta-analyses in animal health, performance, and on-farm food safety: A scoping review. Anim. Health Res. Rev., 20(2): 116-127. https://doi.org/10.1017/S1466252319000197
Zita L, Tůmová E, Štolc L (2009). Effects of genotype, age and their interaction on egg quality in brown-egg laying hens. Acta Vet. Brno, 78(1): 85-91. https://doi.org/10.2754/avb200978010085