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$7,000 USPOULTRY Foundation Student Recruiting Grant Awarded to Cleveland Community College

The USPOULTRY Foundation awarded a $7,000 student recruiting grant to Cleveland Community College (CCC) in Shelby, North Carolina. CCC successfully completed its second year offering applied animal science courses to students in the agriculturally rich foothills of North Carolina. Through its Associate in Applied Animal Science Technology degree program, CCC provides students with a strong foundational education, preparing them for careers in the poultry industry and related fields.

To foster engagement with the poultry industry, the animal science program organized a variety of field trips and events in collaboration with Case Farms, the Farm Bureau, 4-H and Cooperative Extension poultry agents. Each activity saw participation from 15-30 students, along with representatives from the key organizations as well as N.C. Farm Link and the U.S. Department of Agriculture Farm Service Agency, which offered valuable connections with potential employers.

Grant funds will support recruitment efforts at high school and middle school career fairs, as well as targeted classroom presentations within middle and high school agricultural programs. Additionally, the funds will be used to host recruitment camps like Animal Science Days, agritourism events, field trips, mock poultry judging contests and other activities designed to engage students and connect them with careers in the poultry and egg industries. These initiatives aim to strengthen the pipeline between education and employment in the sector.

The USPOULTRY Foundation board approved student recruiting grants totaling $324,215 to 28 colleges and universities across the U.S. with a poultry science department or industry-related degree program. The Foundation provides annual recruiting and retention funds to colleges and universities to attract or connect students to their poultry programs or industry. The grants were made possible in part by gifts to the USPOULTRY Foundation from companies, individuals and families, in addition to funds earned over the years from the International Poultry Expo, part of the International Production & Processing Expo.

Source: US Poultry & Egg Association

TARGAN Secures Major European Contract with Poland’s IKO Kompania Drobiarska at EuroTier 2024

Animal AgTech company TARGAN, Inc. (TARGAN) has announced a new contract with IKO Kompania Drobiarska (IKO), for the installation of WingScan™, TARGAN’s automated feather-sexing system. Following its debut at EuroTier 2024 in Hannover, Germany, this collaboration demonstrates TARGAN’s commitment to delivering innovative, AI-powered solutions to poultry producers across Europe.

Founded in 1999, IKO is a fully integrated poultry producer in Poland, providing high-quality protein products to major retailers, wholesalers, and partners across Europe, Africa, and Asia. The company’s CEO, Zbigniew Idziaszek, said, “We’re proud to be one of the first in Europe to integrate WingScan™ into our hatchery and look forward to the positive impact as we continue to expand our operations. TARGAN’s system aligns perfectly with our goals of increasing efficiency, enhancing quality, and improving welfare standards across all stages of production.”

The WingScan™ system offers a throughput of 40,000–160,000 chicks per hour, depending on configuration, with up to 98% accuracy. Automated chick sexing enhances efficiency and performance, providing downstream benefits at both the farm and processing levels. By implementing gender-specific rearing strategies, producers can improve flock uniformity, ultimately optimizing plant operations.

Ramin Karimpour, TARGAN’s Founder and CEO, said, “As the first commercial feather-sexing system, our WingScan™ patented technology has proven its value to producers across North America, processing nearly half a billion birds to date. Now available for European customers, our WingScan™ systems have been specifically designed with the European market in mind, bringing proven reliability, precision, and dedicated support to hatcheries.”

Viscon Hatchery Automation, TARGAN’s commercial distribution and service partner for WingScan™ across select European markets, was instrumental in facilitating the agreement with IKO. Area Sales Manager, Tomasz Zimnicki, said, “This collaboration provides a tremendous opportunity to meet the specific needs of the European market. IKO is well-positioned to fully capitalize on the downstream benefits at every stage of production—from hatchery to farm to processing plant—maintaining a strong competitive edge. We are excited about the continued collaboration between TARGAN and Viscon and are fully prepared to provide the highest quality support and service as more customers adopt the WingScan™ system.”

The European launch of WingScan™ reaffirms TARGAN’s commitment to advancing animal protein production globally by delivering scalable, next-generation automation that meets the increasing demands of the poultry industry.

Episode 2: Advancing Education and Training in Poultry Medicine with Dr. Teryn Girard

In this episode, Dr. Teryn Girard, an educator and mentor in poultry medicine, shares her journey and passion for teaching and inspiring the next generation of poultry veterinarians. She discusses her approach to educating both students and industry professionals, highlighting the benefits of innovative methods like simulation-based training and online learning platforms. These tools are revolutionizing access to education and enhancing hands-on experience for aspiring poultry vets.

Dr. Girard also offers valuable advice for anyone interested in pursuing a career in poultry veterinary medicine. To conclude the series, we reflect on the groundbreaking work of Prairie Livestock Veterinarians in advancing poultry health management through technology and innovation. Join us as we explore opportunities for collaboration and knowledge exchange in this dynamic field.

Watch now to learn how Dr. Teryn Girard is shaping the future of poultry veterinary medicine!

ALPINE reaches the top of anatomic leg processing

Simplifying optimal performance and yield for chicken legs 

As demand for deboned leg meat continues to rise, ALPINE (Anatomic Leg Processor Innovative New Evolution) addresses processors’ needs for increased production volumes while maximizing yield and quality. The innovative ALPINE module, fitting in Marel’s ACM-NT cut-up line, represents a significant leap forward in anatomic leg processing. Its ability to maintain top-level performance while handling a wide range of weights and reducing labor dependency sets a new industry standard.

Quite some advanced technologies have been implemented to realize ALPINE’s high performance, such as the Hip Dislocation Wheel. This unique feature allows for precise control of the hip tilting movement—needed to achieve an anatomical cut—without exerting excessive force or removing the leg from the shackle. It results in improved performance and virtually nonexistent leg loss. To further enhance accuracy and minimize errors, ALPINE incorporates advanced back piece separation and detection technology, which prevents incorrectly cut legs. Optionally, processors can integrate a special module to remove groin skin automatically, meeting specific market demands while saving considerable manual trimming labor.

Ease of Operation

Equipped with a user-friendly HMI touchscreen, ALPINE makes it easy to enter a recipe that matches the specific characteristics of the incoming flock. This automatically engages the proper machine settings to provide the highest possible leg yield. The screen also shows performance data, enabling processors to monitor key metrics such as back piece detection, leg loss, and unprocessed legs. Built-in machine software provides this real-time and historical performance data. Such proactive insights minimize the need for manual intervention and prevent downtime. ALPINE’s data-driven approach enables processors to maintain peak performance with minimal need for maintenance.

Wide Weight Range with Consistent Results

ALPINE is designed to process high-yield anatomic legs across an unprecedented range of bird weights without requiring major adjustments. This versatility is particularly valuable for processors handling diverse flock weights, enabling them to optimize operations even in markets that process big birds. Regardless of weight fluctuations, the result will always be consistent: a high-yield leg. Compatible with both water-chilled and air-chilled lines, ALPINE easily integrates into existing setups and pairs excellently with Marel’s Thigh Fillet System, at a capacity of up to 7,200 products per hour.

Saving Labor

By keeping legs in the shackles throughout the process, ALPINE practically eliminates product drops and minimizes rework, downtime, and labor. Digital operation, automated settings, reduced need for adjustments, and precise performance monitoring further highlight its labor-saving advantages. Touchscreen control and the broad weight range further contribute to ALPINE’s efficiency, ease of use, and consistently high yield.

For more information, visit marel.com/alpine.

Merck Animal Health Launches Safe-Guard AquaSol® for Backyard Chicken Flocks with FDA Approval

Merck Animal Health recently announced that the FDA has approved its new product, Safe-Guard AquaSol® (fenbendazole oral suspension), for use in backyard chicken flocks. This innovative solution is designed to help poultry owners effectively manage and treat common parasitic infections, marking a valuable addition to poultry health products for non-commercial, backyard flocks.

Safe-Guard AquaSol® offers an easy-to-administer oral suspension that targets gastrointestinal parasites, specifically roundworms, which are prevalent in backyard chickens and can affect their overall health and productivity. The product’s water-soluble formula makes it convenient for owners to administer through drinking water, ensuring thorough and effective treatment for entire flocks without the need for individual dosing.

This FDA approval signifies Merck Animal Health’s commitment to providing safe, accessible solutions for poultry health across various flock sizes and types. As more people turn to backyard poultry for egg production and as pets, Safe-Guard AquaSol® presents a timely option for backyard chicken owners to enhance their flock management practices with trusted and effective parasite control.

Safe-Guard AquaSol® is available through licensed veterinary suppliers and provides a valuable tool for backyard poultry enthusiasts, contributing to healthier birds and improved productivity in small-scale, non-commercial flocks.

 

JBS Reports Two-Year Profit High Driven by Surging Global Chicken Demand

BS, one of the world’s largest meatpackers, announced a surge in profit to a two-year high, thanks to booming demand for chicken in both domestic and international markets. In its latest earnings report, JBS credited strong global appetite for poultry as a key factor driving profitability, marking a significant rebound in its chicken segment, which has become a cornerstone of the company’s growth strategy.

With a robust uptick in chicken sales, JBS has seen strong performance in key markets where chicken consumption is rapidly rising. In addition to benefiting from favorable poultry market conditions, JBS has streamlined its production to optimize efficiency, further strengthening its competitive edge in the global poultry industry.

CEO Gilberto Tomazoni noted that chicken has become a central part of JBS’s portfolio, underscoring the importance of responding to shifting consumer preferences toward lean protein sources. The company’s strategy has included expanding capacity to meet demand surges, especially as consumers worldwide increasingly favor chicken as a healthier and more affordable protein option.

The company’s profits reached their highest levels since 2022, signaling the effectiveness of JBS’s focus on poultry. This milestone aligns with broader trends in the meat industry, where chicken continues to see the most substantial growth due to price stability and health-conscious consumer trends. JBS’s strong quarter underscores the growing value of the poultry sector, positioning the company to capitalize on the sustained global demand for chicken into 2025.

Tyson Foods Surpasses Profit Estimates with Rebounding Chicken Business as Key Growth Driver

yson Foods reported better-than-expected profits in the fourth quarter, driven by strong performance in its chicken division, which is now positioned as a primary contributor to the company’s growth outlook for 2025. After challenges in recent quarters, including plant closures, Tyson’s chicken segment benefited from lower feed costs and increased plant efficiency, supporting a turnaround that offset ongoing struggles in its beef division.

CEO Donnie King emphasized that Tyson’s chicken business has undergone substantial improvement, achieving an adjusted operating margin of 3.8% for the quarter, up from 1.8% a year prior. Although chicken volumes fell slightly, operating income in this segment surged to $409 million from a $267 million loss last year. Tyson now expects the chicken segment to generate over half of its projected adjusted operating income for 2025, estimated between $1.8 billion and $2.2 billion.

The company’s net sales increased by 1.6% to $13.57 billion, exceeding analyst expectations, with shares jumping nearly 9% in response to the positive outlook. Tyson’s strategic shift to focus on the chicken business, which has shown resilience against broader industry challenges, reflects its commitment to strengthening profitability in the face of an uncertain beef market.

Scratching the surface: UGA researchers undertake ChickEES study to determine how free-range chickens influence farm sustainability

Georgia’s College of Agricultural and Environmental Sciences are using molecular genetics to determine how pastured and free-range chickens influence the ecosystem on farms where crops and livestock are raised together. 

Supported by a $749,000 grant from the U.S. Department of Agriculture’s National Institute of Food and Agriculture, entomology doctoral student Sofia Varriano and her thesis advisor, agroecologist and systems biology Professor Bill Snyder, are testing the promise of integrated crop-livestock agriculture to increase the sustainability of smaller farms. 

“We’re interested in this group of farmers that have livestock and crop production within the same farms for their operation. Nowadays we call that integrated crop-livestock agriculture, but 100 years ago what did we call that? We called it farming,” Snyder said. “Every farm, pretty much everywhere in the world, had that model. We’re interested in whether there are aspects of that farming approach that can be useful in a modern setting.” 

Using DNA analysis to demystify diets 

Called “Chicken Ecology and Ecosystem Services,” or ChickEES, the three-year project will detail what the birds on each farm are consuming by analyzing the DNA remains in chicken feces. With this information, producers can determine how their chickens are helping to control pest insects and weeds. 

While research on poultry nutrition in controlled production facilities is plentiful, Snyder said there is little available information on what chickens on smaller farms with integrated poultry production practices are eating in a natural setting. 

“That got us interested in what these chickens eat. Chickens are what we call generalist predators, which means they’re hungry, and they don’t care what they eat, whether it’s a plant or a spider or an aphid or a pest caterpillar — they eat everything. Likewise, they eat things like earthworms, which are beneficial to the soil,” he explained. “Do they mostly eat pests? What weeds do they eat? Are there particular pest species or particular weed species that they prefer? These are the questions we’re interested in.” 

Natural pest control and soil amendment benefits 

With this knowledge, producers can modify their weed and pest control practices to work in tandem with pastured or free-range chickens. 

“The farmers we’re working with have these diversified farms, and a lot of them intuitively feel that it probably has some pest control advantage. This will answer that,” Snyder added. “The other thing the animals do is poop, so that’s manure, that’s fertilizer. The animals and the crops can kind of complement one another in that way.” 

Varriano, who came to CAES to study wild birds, pivoted to poultry research when the pandemic closed labs in 2020. 

This project focuses on chickens with outdoor access, whether they are pastured, free-range or otherwise have the ability to roam outside. DNA samples collected from the chickens are sent off for analysis to identify arthropods and plants through sequencing. By comparing the sequences to a species database, researchers aim to determine what the chickens are consuming, Varriano explained.  

“The end goal with these data is to give growers this information so it can benefit whatever farming they’re doing. One system helps support the other. Using chickens to control pests and enrich the soil to benefit your crops would be one integrative strategy,” Varriano said.  

“We want to help growers take full advantage of the chickens that they have on their farms.” 

 

Tracking pathogens in free-range and pastured systems 

In addition to DNA sampling, the project will uncover likely sources of chicken exposure to Salmonella and Campylobacter bacteria, which can make people sick, using whole-genome pathogen sequencing and landscape modeling. Exploring technology to help small farmers improve and diversify their production practices is one step toward improving the sustainability of smaller-scale producers. 

“The farmers we’re working with are often selling directly to restaurants, farmers markets and the public through community-supported agriculture. To bring people to their farms or serve the needs of restaurants or fill their stand at the farmer’s market, they need to have all different types of products,” Snyder explained. “The diversity of products helps to make their farms more sustainable.” 

A pilot study Varriano performed in Georgia revealed that chickens can consume hundreds of different types of prey on farms. 

The team has performed similar work in the Western U.S. between Southern California and Canada to create a broad footprint in different climates to determine what is typical for the Southeast versus other regions. 

“If you have a chicken that’s stationary versus a chicken that is free-roaming, we’re trying to predict what their differences in diet will be. In a certain setting, are they going to really focus on one certain pest or weed?” Snyder said.  

Gathering data from smaller flocks through citizen science 

Later in the study, Varriano and Snyder will solicit citizen-scientist input to the study by asking farmers throughout the region to self-submit information about their operations as well as fecal samples from their chickens. 

Providing kits similar to those used for genetic genealogy, the researchers will solicit samples from small or backyard flocks. 

“We’ll extract the DNA and do the sequencing, and then we’ll be able to tell them exactly what chickens on their farms —  these are the five top weeds they’re eating, these are the five top pests and insects that they’re eating,” Snyder said. “That helps the farmers because they usually don’t know what additional benefit they are really getting from these systems; we’ll be able to tell them that.” 

The team plans to create a service center with testing technology to quickly analyze the DNA samples and the many contributors to each sample, whether plant or insect. 

“We can get back, from one farm, more than 200 weeds and insects and other arthropods that the chickens are eating, so we are trying to automate that process,” he said, adding that preliminary studies in Georgia have shown that chickens are eating Palmer amaranth, one of the most damaging weeds for producers. 

 “It does really seem like there are some certain things they really are picking out. When they’re really confined, chickens do just clear out everything. But when they’re foraging freely, it does seem like chickens have things they really like, such as pest caterpillars,” Snyder said. 

Examining how diversification contributes to sustainable farming 

 The researchers also will monitor how soil quality changes when pastured chickens are moved from area to area on farms by performing full soil-quality tests to look at the weed seed bank and extracting DNA from the soil to look at microbial biodiversity.  

“Chickens, presumably, when they’re coming through and pooping, they’re dropping a lot of nitrogen, and that’s probably changing the soil microbiome. And is that beneficial? Is it building up?” Snyder said. “There’s some decent evidence that when you have greater biodiversity and microbes, it makes it harder for pathogens to persist. So are they actually building up the health of the soil in a really general way, not just with nitrogen, but also microbial biodiversity.” 

A collaborator in the UGA College of Veterinary Medicine, Nikki Shariat, an associate professor in the Department of Population Health, Poultry Diagnostic and Research Center, will test samples for the presence of Salmonella and Campylobacter. By performing whole-genome sequencing on the bacteria, they can determine where the foodborne illness-causing bacteria originated in the farm environment. 

“Where on the farm might they be picking these things up? We want to see how often they are present to get some idea of what the incidence would be,” Snyder added. “We want to give the growers a full picture — here are the pests the chickens are eating, here are the beneficials they’re eating, here’s your food safety risk.” 

 Enhancing local food systems and farm profitability 

 The findings have the potential to benefit growing local food systems in populated areas. 

“Economically, if you have 10 acres that you’re farming instead of 1,000 acres, you have to know how to generate enough income. That comes down to diversification,” Snyder said, adding that “chickens in these systems are providing eggs or meat that you can sell, they’re providing fertilizer and they’re providing pest and weed control. 

“When you’re trying to keep costs low and reduce off-farm inputs as much as you can, if more of that can be produced on farm, it’s better for the producer. We are helping those things work together,” he said.  

“The better these producers can function, the more opportunity they have for people in the public to enjoy what they’re doing and for them to make a profit.” 

Source: University of Georgia

DCA Advises Growers, Farmers to Be Involved in Reassessment Process

Delmarva Chicken Association is cautioning its members in Sussex and New Castle counties to be prepared for a property value reassessment process that in Kent County caused some farm properties to face substantial year-over-year property tax increases.

Each of Delaware’s counties was ordered in 2021 to conduct a property value reassessment after the state’s Chancery Court ruled county property valuations were so out of date – in Sussex, dating to 1974 – that relying on them to set property tax rates was unconstitutional. Kent County was the first Delaware county to get its court-ordered reassessment process underway. The ongoing reassessment is designed to assign each property a fair market value as of 2024, updating assessed values last determined by Kent County in 1985, and updated property tax bills were sent to Kent County landowners this summer. Sussex and New Castle counties are following a similar schedule about a year behind Kent County.

After receiving questions this summer from concerned Kent County chicken growers and other farmers about their post-reassessment property tax bills, DCA collected assessed value and tax data for several dozen farm properties in Kent County. DCA found that many agricultural properties were given 2024 property tax bills substantially higher than their 2023 taxes. More than half of the farms DCA surveyed in Kent County saw their taxes increase more than 20 percent year over year, and eight farm properties saw their taxes increase between 50 percent and 200 percent.

“At the start of Delaware’s reassessment process, no one in state or local prepared farmers to expect huge tax hikes on their farm properties, so these tax bills have shocked and dismayed the chicken community, and they’re coming at a time when farm income trends are in the red nationwide,” said Holly Porter, DCA’s executive director. “We’re working to find solutions, like deferred payment plans, that could ease these surprise tax burdens imposed on Kent County chicken growers. And we’re urging farmers in Sussex and New Castle to get involved in the reassessment processes in their counties early on.”

In Sussex County, where hundreds of family farms raise broiler chickens, letters providing a new, fair market value assessment for properties are expected to be mailed to property owners in November. DCA is encouraging each of its members to closely review the joint letter they receive from Tyler Technologies and the county with new assessment values. If you believe that there were factual errors in your assessment (wrong square footage, number of houses, etc.) or have evidence to show the assessed value stated in the letter is out of sync with its actual fair market value, growers can challenge the errors or the assessed value following procedures laid out in the letters.

    Taxpayers who challenge their assessments should be prepared to show documentation to prove that their fair market value figure assigned to their property is inaccurate, like:

  • A recent appraisal by a licensed/certified appraiser. This can be one conducted by a lender or you can hire a professional.
  • Recent sales data on properties that are comparable to your own. These can be found on websites such as Redfin.com, Zillow.com, as well as county land records of recent transfers.
  • Insurance records.
  • Tax returns on a depreciation schedule. This is recommended only if it is a recent build or purchase.
  • Assessments of similar properties.

Source: Delmarva Chicken Association

Effect of breeder age and early hypoxic stimulation of the chorioallantoic membrane on vascularization, internal organ development, blood profile and chick organ histology

DESCRIPTION OF PROBLEM

Breeder age significantly influences egg quality traits and subsequent embryonic development (Machado et al., 2020; Nasri et al., 2020; Zita et al., 2022). The composition of eggs at oviposition and oxygen concentration (O2) during incubation are crucial factors affecting nutrient metabolism during avian embryo development (Wangensteen and Rahn, 1970; Wilson, 1997). Despite advancements in artificial incubation, aspects related to the gaseous environment are still under investigation to understand epigenetic effects and enhance process efficiency (Decuypere and Bruggeman, 2007; Druyan et al., 2018; Okur et al., 2022). Oxygen supports embryonic growth through yolk beta-oxidation and conductance through shell pores, notably in older breeders (Decuypere and Bruggeman, 2007; Druyan et al., 2018; Okur et al., 2022). Gas exchange rates vary during different incubation stages, influencing embryo development and organ formation, each with distinct critical windows (Burggren and Elmonoufy, 2017).
The influence of O2 and carbon dioxide (CO2) on embryonic development, particularly hypoxia, a condition characterized by a deficiency in oxygen supply to tissues, has significant effects on internal organ development (Decuypere and Bruggeman, 2007). Hypoxia regulates angiogenesis, influencing embryo metabolism, growth, and health (Carmeliet, 2003; Verhoelst et al., 2011). Altimiras and Phu (2000) and Sharma et al. (2006) emphasize the importance of a specific threshold of O2 and its availability for initiating and sustaining early embryo development. Each hypoxic exposure or stimulation window tends to have an impact on embryo and organ growth and development. While mild hypoxia can improve gaseous diffusion capacity and mitigate detrimental effects on embryonic development, acute or sustained hypoxia during early development may negatively impact vital organ growth (Zhang and Burggren, 2012). However, a study suggested that chronic hypoxia during specific incubation periods may not affect embryo or organ weight at hatching (Miller et al., 2002). Hypoxia-induced changes and adaptations in embryos depend on the timing, intensity, and duration of exposure (Chan and Burggren, 2005; Stenmark et al., 2006; Storz et al., 2010; Burggren and Elmonoufy, 2017; Zhang et al., 2017; Storz and Cheviron, 2021). A variety of organs are affected by hypoxic conditions due to alterations in gene expression and physiological responses (Miot et al., 2012).
Hypoxic stimulation of the chorioallantoic membrane (CAM) is proposed to improve respiratory and cardiovascular development in embryos (Haron et al., 2021). Researchers have found that exposure to hypoxic environments can affect hemoglobin levels, indicating a physiological response (Huang et al., 2017). During development, this alteration in blood profile may be an adaptive response to reduced oxygen availability. Hypoxia also plays a role in the vascularization of the heart via its vasodilatory effects, once the coronary circulation is functional (Tomanek et al., 2003). This response is in line with the chick’s body’s attempt to increase oxygen supply or provide rapid support for angiogenesis under conditions of tissue damage especially to tissues of the heart and lungs, when reduced oxygen availability is present (Hsia et al., 2013). Pearce (2006) and Miller and Zachary (2017) stated that low oxygen levels may compensate for breeder aging, resulting in a more controlled and normal neovascular response in the heart and lung tissues of the chicks.
Hypoxia selectively affects Chorioallantoic membrane (CAM) development (Azzam and Mortola, 2007). Early-stage hypoxia affects the development of the CAM, enhancing its growth and vascularization (Druyan et al., 2012; Druyan and Levi, 2012; Druyan and Levi, 2012; Haron et al., 2021). Conflicting reports exist regarding CAM vascularization under hypoxia, with some studies showing no change (Burton and Palmer, 1992) or decreased effects (Burton and Palmer, 1992; Wagner-Amos and Seymour, 2003). While literature exists on these differences mostly for broilers, there is limited information on the effect on layer breeders, in terms of its breed and age. The developmental trajectory of embryos in broilers and layers is different in response to differences in gaseous exchange conditions during incubation. This research, therefore, investigates the effect of early hypoxic stimulation of two (2) layer breeder age eggs during embryogenesis on organ development, CAM vascularization, organ tissue histology and blood indices of chicks hatched as a consideration to adaptability to low oxygen during incubation.

MATERIALS AND METHODS

Experimental Site, Ethics and Facilities

This research was conducted at the University of Lomé at the Regional Center of Excellence for Poultry Science (CERSA-UL) hatchery, research farm and laboratory. All experimental procedures were approved by the Animal Ethics and Scientific Committee following the guidelines of the University of Lomé, CERSA (008/2021/BC-BPA/FDS-UL). The incubators used for the experiment were located at latitude 6°1′95′′N and longitude 1°2′53′′E with an elevation of 26 m above sea level (Google. n.d., 2024).

Experimental Design

A total of 900 eggs were tested in a 2 × 3 factorial arrangement of 2 breeder flocks ages (33- and -50 wk) and 3 oxygen concentration (O2) levels that include;

  • 1.
    15%, 17% O2 (experimental groups) and
  • 2.
    21% O2 (control group).
Each breeder age group had 450 eggs and in each group of O2 levels, 150 eggs were divided into 3 replicates of 50 eggs.
From embryonic day (ED) 7-9, a steady stream of air-N2 mixture was used to flush the experimental incubators for only 1 hr/d to reduce the O2 levels to 15% and 17% for the experimental groups. An O2 gas detector (Model HFP-1201 BX, No. D6924, Xi’an Huafan Technology Co., Ltd.) was used to continuously monitor the O2 levels (Druyan et al., 2012; Zhang and Burggren, 2012) in the three (3) PAS REFORM (PasReform, Zeddam, Netherlands, SmartPro Combi model) incubators used. The experimental group incubators were returned to equivalent incubation condition as the control after the 1 h exposure period each day.

Hatching eggs, storage and incubation conditions

The hatching eggs from ISA Brown layer breeders were collected and stored at 18°C temperature (T) and 75% relative humidity (RH) for 4 d. Following storage, the eggs were prewarmed at 24°C for 6 h before incubated. At egg setting, all groups of randomized hatching eggs were incubated in three (3) incubators calibrated to equivalent temperature of 37.7°C, relative humidty of 56% and automated turning at a 90° angle every hour. On the 3rd hour of each day of embryo age (ED 7, 8 and 9) from the time of setting, the two (2) experimental group incubators were continuously flushed with air-N2 for only 1 h. During the period of flushing, oxygen concentration was reduced in the various experimental incubators to 15% and 17%. The incubator’s O2 levels were continuously monitored and adjusted using the oxygen gas sensor. The experimental incubators were returned to calibrated equivalent condition as the control group after the 1 h oxygen reduction period. On d 18, eggs were candled to identify living embryos, which were then moved to hatching baskets for the 3-d hatching process.

Embryo and Chick Internal Organ Measurements

Following the ED 7-9 exposure to lowered oxygen concentrations, 6 embryos were sampled from each replicate at ED 11. Eggs were weighed and eggshells were broken in the airspace region for the embryo to be removed and weighed. The embryo was dissected for the weight of the heart and liver using a sensitive weighing scale (Ohaus STX8200 Scout). Weights obtained were used to calculate relative organ weights using the following equation:

At hatch, all chicks were weighed from each treatment group (data not shown). Nine (9) chicks from each treatment were humanely sacrificed by cervical dislocation and the fresh weight of the yolk sac, heart, liver and lungs was taken. Yolk-free chick weight was then estimated and used to calculate the relative organ weights using the equation:

Chorioallantoic Membrane Vessel Measurements

On ED 16, 1-2 mL of 10% formalin was injected through the airspace into three (3) eggs from each treatment group for retention of erythrocytes into vessels of the CAM. After 24 h, the egg was cut into 2 longitudinal sections along the equatorial region using a Dremel drill with a round blade. The embryo, yolk and albumen were carefully removed from the eggshell with little disturbance to the adhered CAM on the eggshell. A beam of 100W halogen light in an all-closed box-like device with a conical opening with a diameter 3 cm on 1 side was passed through the eggshell from the outer part. Digital images were taken with a Canon (EOS Rebel T5i) camera with a focused lens (EF-S 18-55 mm) at 2 different spots in each half section of the longitudinally divided eggshell. A spot represents the circular region covered by the beam of light that passes through the conical-sided opening of the box. From each circular spot image, 2 regions of interest (ROI), each 400 × 400 pixels were cropped for analysis. The ROI is the subset of the spotted image that was manually identified based on clear vessel branches. This procedure followed slight modification from Verhoelst et al. (2011) and Fernandes et al. (2017).
Eight cropped ROI images were obtained from each egg. A total of 24 images/treatment group were processed and analysed as described by Fernandes et al. (2017), using Image J software (version 1.54j, NIH, USA) for the vascular fraction (VF) (%), and fractal dimension (FD) of the vascular network of the CAM (Figure 1). The FD is the measure of the degree of branching of vascular network while the VF is determined as a measure of vessel density, which is in percentage (%) (Verhoelst et al., 2011; Fernandes et al., 2017).
Figure 1

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Figure 1. Image processing procedure using Image J software. Abbreviation: ROI, region of interest: The region of interest (ROI) is the subset area of the main initial image cropped to 400 × 400 pixels for analysis. The region was manually chosen based on clearly defined major and minor vessel branching.

Blood Sampling and Analysis

At hatch, blood samples were collected from the heart of nine (9) chicks from each group with a 27-G needle and 1 mL syringe into ethylene-diamine tetra-acetic acid (EDTA) and plain gel tubes. The blood samples in the EDTA tubes were promptly analyzed using an automated hematoanalyzer (DH36, Dymind Biotechnology) for haematological parameters while blood stored in the gel tubes were centrifuged at 3000 rpm at 15 min to obtain serum samples which were stored at -20°C until Triiodothyronine (T3), thyroxine (T4) and biochemical analysis. A volume of 100 mL of serum was used for T4 and T3 concentration determination in an automated VIDAS system, which is an enzyme-linked fluorescent assay (ELFA) technique. The antibodies, anti-T3 and anti-T4 of mutton, provided by VIDAS were used in the assay for the determination of the concentrations of T3 and T4, respectively. Serum biochemistry was analyzed by the colorimetric method using an automatic device for total protein (TP), albumin (ALB), total cholesterol (TC), triglycerides (TG) and high-density lipoprotein (HDL) cholesterol. low-density lipoprotein (LDL) cholesterol was estimated using the formula; LDL-chol = [TC] – [HDL-chol] – [TG]/5.

Histological Analysis

Heart, lung and liver tissues dissected from the set of chicks were fixed in 10% buffered formalin. Thick sections of 5 µm were cut from the paraffin-embedded blocks after a series of alcohol (100, 96, 80, and 70%) and xylol treatments, deparaffinized in xylol and stained with Hematoxylin and Eosin. A 100um microphotograph image was taken under a light microscope (Thermo Fisher Scientific, Massachusetts) after examination. As used by Okur et al. (2022), a similar grading score was emplored by a histhopathogist in grading the neo-vascularization in heart, lungs and liver tissues. The neo-vascularization grading score include; ++++ = Very high (ectatic vessels with high congestion); +++ = high (vessels seat of moderate congestion); ++ = Normal (normal tissues).

Statistical Analysis

The data were processed with the statistical software package GraphPad Prism 6.0 (GraphPad Software, La Jolla, CA). The factors: breeder age (Ab) and oxygen concentration (O2) levels were used in a 2 × 3 factorial arrangement. The statistical analyses of the results were performed using the 2-way analysis of variance (ANOVA) model. All data obtained for the analysis were first transformed using the arc sinus data transformation rule and then tested using the Shapiro-Wilk test for normality (Levene’s test for homogeneity of variance). The 2-way ANOVA designs used followed the general linear model (GLM) procedure which is as follows:
WhereYijk is the Dependent Variable
µ is the overall mean,
Ai is the effect of age (i= 33- and -50 wk),
O2j is the effect of the O2 levels (j = 15%, 17% and 21%) in the experiment,
AO2ij is the effect of the interaction between Ab and O2, and
eijk is the random error term.
The post-hoc Tukey test was used to separate and compare the means of each parameter in relation to the effect on Ab, O2 level and the interaction (Ab * O2) between the 2 factors. Means were compared and separated at a significant level of 5% (P < 0.05).

RESULTS AND DISCUSSION

Relative Organ Weights

Table 1 summarizes the impact of breeder age (Ab) and oxygen concentration (O2) level on embryo and chick organ weight taken at ED 11 afterexposure and d 1 respectively. The relative weight of organs of the embryo was with regards to embryo weight while those of the chicks were with regards to yolk-free chick weight (data not shown for embryo weight and yolk-free chick weight). No significant (P > 0.05) changes were noted in relative heart weight at ED 11, but the relative liver weight was affected by O2 levels, with the 21% O2 group having significantly (P = 0.003) lower weight than low O2 levels. Interactively, chicks from the 50 wk breeders incubated at 21% O2 level exhibit superior relative heart weight (P < 0.001) compared to 15% and 17% low O2 levels of the same breeder age. Additionally, the 33 wk breeders had relatively higher heart weights (P = 0.013) than the 50 wk breeders. The main effect of O2 levels on relative heart weight reveals significantly higher weight (P < 0.001) at 21% O2 compared to 15% and 17% low O2 levels. The interactive effect of Ab and O2 levels significantly influenced relative liver weight, with 33 wk breeder embryos at 21% O2 and 50 wk breeder eggs at 15% O2 having heavier weights (P < 0.001) than the other interactive groups. The main effect of O2 levels showed a significantly decreased relative liver weight (P = 0.002) for 17% O2 compared to other precedent O2 levels. No significant (P > 0.05) main or interactive effect was observed for relative lung weight across treatment groups.

Table 1. Effect of breeder age and reduced oxygen concentration level from ED 7- 9 on embryo and chick relative internal organ weights at ED11 and hatch.

Parameters Rel. embryo heart weight (ED11) (%) Rel. embryo liver weight (ED11) (%) Rel. DOC heart weight (%) Rel. DOC liver weight (%) Rel DOC lung weight (%)
Breeder age (Ab)
33 wk 5.77 9.86 0.95a 2.74 0.65
50 wk 7.01 15.85 0.91b 2.83 0.60
SEM1 0.540 1.240 0.017 0.041 0.048
Oxygen level (O2)
15% 6.45 14.16a 0.91b 2.77a 0.63
17% 6.86 14.04a 0.88b 2.64b 0.69
21% 5.87 10.37b 1.00a 2.95a 0.56
SEM1 0.660 1.510 0.021 0.059 0.051
Interaction (Ab * O2)
33 wk * 15% 5.32 9.17 0.96ab 2.41b 0.71
33 wk * 17% 6.23 10.08 0.95ab 2.73b 0.75
33 wk * 21% 5.76 10.33 0.95ab 3.09a 0.49
50 wk * 15% 7.57 19.14 0.86b 3.14a 0.54
50 wk * 17% 7.49 18.00 0.81bc 2.54b 0.62
50 wk * 21% 5.98 10.40 1.06a 2.80b 0.64
SEM1 0.930 2.140 0.030 0.083 0.083
P-value2
Ab 0.118 0.160 0.106 0.242 0.465
O2 0.573 0.003 <0.001 0.003 0.342
Ab * O2 0.560 0.076 <0.001 <0.001 0.123
Abbreviations: Rel., relative; DOC, day-old chick; ED, embryonic day.
a-d
Means within the same column with different superscripts are significant at P < 0.05.
1
SEM, pooled standard error of means.
2
P: probability value.
The effect of breeder age (Ab) and oxygen (O2) levels on hypoxia-induced embryogenesis and internal organ development was investigated. The current research is consistent with previous studies that under hypoxic conditions of 17% and 15% O2 levels, relative embryo weight is decreased (result not shown). Literature presents conflicting results on the effects of hypoxia on embryo heart weight. A hypoxic environment may increase relative heart weight (Ben-Gigi et al., 2021; Lindgren and Altimiras, 2011), cause no change (Altimiras and Phu, 2000; Druyan et al., 2012) or decrease (Ruijtenbeek et al., 2000; Itani et al., 2016). Druyan et al. (2012) showed that 17% of O2 hypoxia did not affect the relative heart weight of embryos, but 15% of O2 did. In the study by Haron et al. (2021), neither the heart nor the liver weights were affected by low O2 levels. The interaction between Ab and O2 levels indicates a change in the function of the liver as an oxygen elicitor on ED 11. The metabolic pathways in older breeder flocks may be different from those in younger breeder flocks, explaining the differences in organ weights (Nangsuay et al., 2021).

Vascularization in CAM

In Figure 2, the fractal dimension (FD) and vascular fraction (VF) of blood vessels in the CAM were compared for eggs incubated under normoxic conditions of 21% and hypoxic conditions of 15% and 17% O2 levels. The results for the FD (the degree of branching of the vessels, Fig 2a) showed there was an interaction (P = 0.001) between Ab and O2 levels and likewise for the individual main effect of Ab and the different O2 levels of incubation (P < 0.001). Eggs from 50 wk breeders had higher FD under 15% and 17% O2 levels compared to the 33 wk. As showed in Fig 2b, no significant interaction (P = 0.156) was found for the VF (degree of vessel density, %) in CAM, however, an increase (P < 0.001) was observed for exposure to 15 and 17% O2 levels (hypoxic) as compared to the 21% (normoxic) condition, and also for 50 wk compared to 33 wk breeder ages.
Figure 2

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Figure 2. Effect of breeder age and reduced oxygen concentration levels from ED 7-9 on CAM vascularization parameters. a-e Letters on each error bar means significance at P < 0.05.

The CAM was seen to cover a large area with increased vessel branching for embryos exposed to 15 and 17% O2 levels (hypoxia) than normoxic incubations at both breeder ages. This agrees with Druyan et al. (2012) who observed a significant increase in the vessel density of the CAM of embryos that were incubated in environments with lower O2 concentrations from 5 to 12 d. However, the higher effect in 50 wk breeders indicated that older breeders were more receptive to hypoxic stimulation, probably due to large surface area and thickness of eggshell. This is an adaptive response that is geared towards phenotypic plasticity in embryos. According to Druyan et al. (2012), embryos that develop under hypoxic conditions are expected to have improved gas diffusion and blood transport abilities, which can be attributed to increased CAM vascularization, and, therefore, a greater supply of oxygen to the embryo. A stimulating effect of hypercapnia and systemic acidosis on angiogenesis, as described by Everaert et al. (2008) lowers the pH of egg albumen. As a result, the embryo is forced to adapt by altering their cardiac output and redistributing oxygenated blood to vital organs, including the brain, heart, and adrenal glands for growth (Mulder et al., 1998). These findings suggest that the age of the breeder hens and the oxygen levels during incubation can significantly impact the development of the embryonic vasculature (Lin et al., 2008; Yalçın et al., 2012; Almeida et al., 2016). Older breeders may produce eggs with a greater capacity for vascular branching under hypoxic conditions, potentially enhancing the embryo’s ability to adapt to low oxygen environments (Fasenko et al., 1999). Further research is needed to clarify the underlying mechanisms and the implications for embryonic and posthatch development.

Haematological Profile

Table 2 outlines the effect of Ab and O2 levels on the haematological profile of hatchlings. The interactive effects indicate that chicks hatched from 33 wk * 15% to 50 wk * 17% O2 level exhibited significantly higher (P = 0.001) white blood cell (WBC) counts than their precedent counterparts. Lymphocyte (LYMP) count from 33 wk * 21% to 50 wk * 15% O2 level was also statistically (P = 0.005) higher in percentages compared to chicks hatched from 33 wk * 15% to 33 wk * 17% O2 level. Granulocyte (GRAN) counts were statistically (P < 0.001) higher in eggs from 33 wk * 15% and 33 wk * 17% O2 levels and 50 wk * 21% O2 had markedly higher levels compared to other interaction groups. Haemoglobin (HGB) concentration interactively significantly (P = 0.020) increased in this order; 33 wk * 21% ≤ 33 wk * 17% < 33 wk * 15% < 50 wk * 21% < 50 wk * 17% < 50 wk * 15% O2 level. Likewise, Hematocrit (HCT) levels also took a significant (P = 0.031) increasing order as follows; 33 wk * 21% ≤ 33 wk * 17% = 33 wk * 15% ≤ 50 wk * 21% = 50 wk * 17% = 50 wk * 15% O2 level. Mean corpuscular volume (MCV) was significantly greater (P = 0.040) in the 50 wk * 15% and 50 wk * 21% O2 levels compared to the 33 wk * 15%, 17%, and 21% O2 levels. Mean cell haemoglobin concentration (MCHC) was significantly higher (P = 0.006) in the 33 wk * 15% and 50 wk * 17% O2 levels compared to all the other interaction groups. A significantly higher main effect of O2 level is observed for WBC count for 15% O2 level being higher compared to other counterparts which were not different among each other. LYMP was also influenced (P = 0.019) by the O2 level. Neither Ab nor O2 levels, interactively or individually (P > 0.05) affected the blood proportions of mean cell haemoglobin (MCH) and platelets (PLT).

Table 2. Effect of breeder age and reduced oxygen concentration level from ED 7- 9 on the haematological indices of chicks at hatch.

Parameters WBC (10^9/L) LYMP (%) GRAN (%) RBC (10^12/L) HGB (g/L) HCT (%) MCV (fL) MCH (pg) MCHC (g/L) PLT (10^9/L)
Breeder age (Ab)
33 wk 65.11 0.90b 0.02a 2.18b 135.33b 0.28b 127.66b 61.99 485.78 2.72
50 wk 69.54 0.91a 0.01b 2.62a 163.89a 0.34a 131.62a 62.85 477.50 1.94
SEM1 1.550 0.002 0.001 0.051 3.460 0.007 0.730 0.570 3.560 0.290
Oxygen level (O2)
15% 72.04a 0.91ab 0.02 2.46 155.50 0.32 129.47 63.22 488.67 2.42
17% 67.95ab 0.90b 0.02 2.41 149.50 0.31 128.75 62.09 482.25 2.17
21% 61.98b 0.91a 0.02 2.32 143.83 0.30 130.70 61.95 474.00 2.42
SEM1 1.900 0.003 0.001 0.062 4.240 0.009 0.900 0.700 4.360 0.360
Interaction (Ab * O2)
33 wk * 15% 76.00a 0.89b 0.02a 2.27 143.67c 0.28b 125.57b 63.50 505.33a 3.33
33 wk * 17% 60.90b 0.90b 0.02a 2.16 133.00d 0.28b 128.10ab 61.43 480.00bc 2.33
33 wk * 21% 58.43b 0.92a 0.01b 2.12 129.33de 0.27bc 129.30ab 61.03 472.00c 2.50
50 wk * 15% 68.07ab 0.92a 0.01b 2.65 167.33a 0.35a 133.37a 62.93 472.00c 1.50
50 wk * 17% 75.00a 0.91ab 0.01b 2.65 166.00a 0.34a 129.40ab 62.75 484.50b 2.00
50 wk * 21% 65.54ab 0.91ab 0.02a 2.51 158.33b 0.33ab 132.10a 62.87 476.00bc 2.33
SEM1 2.690 0.004 0.002 0.088 5.990 0.012 1.270 0.990 6.160 0.510
P-value2
Ab 0.053 0.024 0.013 <0.001 <0.001 <0.001 0.001 0.295 0.110 0.069
O2 0.003 0.019 0.219 0.272 0.168 0.425 0.314 0.385 0.074 0.850
Ab * O2 0.001 0.005 <0.001 0.806 0.020 0.031 0.040 0.452 0.006 0.209
Abbreviations: WBC, white blood cell; LYMP, lymphocyte; GRAN, granulocyte; RBC, red blood cell; HGB, hemoglobin; HCT, hematocrit; MCV, mean corpuscular volume; MCHC, mean corpuscular hemoglobin concentration; PLT, platelet.
a-e
Means within the same column with different superscripts are significant at P < 0.05.
1
SEM, pooled standard error of means.
2
P: probability value.
Chick blood profile measurements showed an interaction between breeder age and O2 levels on WBC, HGB, HCT, MCV and MCHC. The current finding agrees on HGB and HCT with several studies that embryos exposed to hypoxia during early or late development had elevated HGB concentrations and HCT (Dzialowski et al., 2002; Ruijtenbeek et al., 2000; Chan and Burggren, 2005; Haron et al., 2021, 2022). The higher interaction effect observed for 50 wk breeders compared to 33 wk breeders suggests an increase in oxygen-carrying capacity for older breeders than younger ones. Other studies have also reported that neither RBC count nor PCV or HGB values were affected by high O2 and CO2 (Maxwell et al., 1987; Tong et al., 2015; Okur et al., 2022). In avian embryos, the RBC transport oxygen and CO2 through direct diffusion (Mueller et al., 2022). Tazawa et al. (2012) attributed the increase in HCT (ED 11-ED 19) to increased MCV and not likely due to O2 transport. This could be true for older breeders but not for younger breeders. An increase in blood O2-carrying capacity can be achieved by various means: polycythemia (Dusseau and Hutchins, 1988), modification of HGB (Liu et al., 2009), increased vascularization and angiogenesis (Dusseau and Hutchins, 1988; Zhang et al., 2017) or combinations of any of the above factors. Hypoxia during incubation is a known developmental stressor for an embryo (Haron et al., 2021). The combined effect on LYMP and GRAN counts serves as evidence of the impact of Ab and reduced O2 levels on the immunity and developmental stress response of chicks during hatching. On the contrary, Beker et al. (1995) reported no effect of low O2 on leukocytes.

Biochemical Profile

The effects of Ab and O2 levels on serum biochemical indices are presented in Table 3. The results indicated that neither Ab nor O2 levels, individually or interactively, had a significant (P > 0.05) effect on total protein and albumen concentrations (P > 0.05). Triglyceride concentrations showed a statistical increase (P = 0.046) in the 50 wk breeders incubated at 15%, 17%, and 21% O2 levels compared to those at 33 wk, irrespective of O2 levels. The interactive effect on high-density lipoprotein was significantly higher (P = 0.036) in the 33 wk * 21%, 50 wk * 15, 21% O2 level compared to the other groups. However, low density lipoprotein was markedly superior (P = 0.011) in the order; 33 wk * 15% > 50 wk * 21% ≥ 33 wk * 17% = 33 wk * 21%, 50 wk * 17% < 50 wk * 15% O2 level compared to the other interaction groups. No interactive (P > 0.05) effect on total cholesterol concentration was found, nevertheless, the main effects of O2 levels influenced (P = 0.002) its concentrations with 15%, and 21% O2 levels being different from 17% O2 levels but not each other. The breeder age effect showed a significantly lower (P = 0.038) concentration of total cholesterol observed in the 50 compared to the 33 wk breeder group.

Table 3. Effect of breeder age and reduced oxygen concentration level from ED 7- 9 on the serum biochemical indices of chicks at hatch.

Parameters TP (g/l) ALB (g/l) TG (g/l) HDL (g/l) TC (g/l) LDL (g/l)
Breeder age (Ab)
33 wk 28.79 9.77 0.81b 1.26 3.97a 2.53
50 wk 28.03 9.73 1.26a 1.04 3.60b 2.31
SEM1 1.360 0.580 0.061 0.100 0.120 0.120
Oxygen level (O2)
15% 28.33 9.70 1.03 1.10ab 3.91a 2.58
17% 26.05 9.48 1.12 0.94b 3.33b 2.17
21% 30.85 10.07 0.96 1.41a 4.12a 2.52
SEM1 1.670 0.712 0.074 0.130 0.150 0.150
Interaction (Ab * O2)
33 wk * 15% 27.20 9.10 0.73b 1.01b 4.26 3.07a
33 wk * 17% 27.47 10.33 0.83b 0.99b 3.33 2.18bc
33 wk * 21% 31.70 9.87 0.88b 1.78a 4.32 2.36bc
50 wk * 15% 29.47 10.30 1.33a 1.20ab 3.55 2.08c
50 wk * 17% 24.63 8.63 1.41a 0.89b 3.34 2.16bc
50 wk * 21% 30.00 10.27 1.04ab 1.03ab 3.91 2.67b
SEM1 2.360 1.010 0.110 0.180 0.210 0.210
P-value2
Ab 0.697 0.968 <0.001 0.143 0.038 0.193
O2 0.143 0.843 0.319 0.041 0.002 0.130
Ab * O2 0.532 0.344 0.046 0.036 0.248 0.011
Abbreviations: TP, total protein; ALB; albumen; TG, triglycerides; HDL, high-density lipoprotein; TC, total cholesterol; LDL, low-density lipoprotein.
a-b
Means within the same column with different superscripts are significant at P < 0.05.
1
SEM, pooled standard error of means.
2
P: probability value.
During incubation, lipid metabolism plays an important role in the growth of the embryo. Our findings agree with Okasha et al., 2021 that there is a decreased TC but disagree with the high TG reported in our results for chicks hatched from 50 wk breeder flocks. The higher level of TG observed in the 50 wk breeder flock can be attributed to yolk size and the level of nutrients in the yolks as a result of the age of the breeder flocks. High absorption of this yolk sac is evident in 50 wk breeders exposed to hypoxic conditions. The lower TC and higher TG levels in the 50 wk breeder compared to the 33 wk group suggest age-related differences in cholesterol metabolism, and in our case, slightly impacted by hypoxic condition. In recent times, Jiang et al. (2023) reported a significant increase in TG and lipoprotein lipase in the liver under hypoxic stress for 6 h in golden pompano. Environmental conditions of hypoxia and normoxia substantially influence plasma TC, TG and HDL (Olanrewaju et al., 2010; Okasha et al., 2021) . According to Nangsuay et al. (2013), albumin from an old breeder flock contains relatively fewer proteins than albumin from a young breeder flock. This result is not clear in our finding and the main reason could be due to differences in breeds and the age of breeders used in both researches. Unlike our study which was in layers, Nangsuay et al. (2013)’s study was on broilers.

Hormonal Profile

Table 4 shows the effect of Ab and O2 levels on the hormonal profile of hatchling chicks. T3 concentration was significantly higher (P = 0.001) in the 33 wk * 15%, 50 wk * 15%, 50 wk * 21% O2 levels compared to the other O2 levels. A similar trend was observed for T4 concentration, with a statistically different level (P = 0.021) noted in the 33 wk breeders compared to the 50 wk breeders incubated at 17% O2 level. Furthermore, a significantly higher (P = 0.026) ratio of T3 and T4 was observed in the 50 wk breeders incubated at 17% O2 level compared to its 15% O2 level and the 33 wk * 21% O2 level.

Table 4. Effect of breeder age and reduced oxygen concentration from ED 7- 9 on the thyroid hormone indices of chicks at hatch.

Parameters T3 (ng/ml) T4 (ng/ml) T3/T4
Breeder age (Ab)
33 wk 1.16 8.52 0.14
50 wk 1.24 8.49 0.15
SEM1 0.072 0.470 0.009
Oxygen level (O2)
15% 1.37 9.97a 0.14ab
17% 1.13 7.12b 0.17a
21% 1.10 8.43ab 0.13b
SEM1 0.088 0.570 0.011
Interaction (Ab * O2)
33 wk * 15% 1.63a 10.95a 0.15ab
33 wk * 17% 0.99b 7.49b 0.14ab
33 wk * 21% 0.86b 7.11b 0.12b
50 wk * 15% 1.10ab 8.99ab 0.13b
50 wk * 17% 1.27ab 6.74b 0.20a
50 wk * 21% 1.34ab 9.75ab 0.14ab
SEM1 0.130 0.810 0.015
P-value2
Ab 0.460 0.967 0.170
O2 0.079 0.005 0.039
Ab * O2 0.001 0.021 0.026
Abbreviations: T3, triiodothyronine; T4, thyroxine
a-b
Means within the same column with different superscripts are significant at P < 0.05.
1
SEM, pooled standard error of means.
2
P: probability value.
Thyroid hormones are vital for the maturation of essential organ structures, behavioural development (McNabb and Darras, 2015), pipping and hatching (Tullett, 2009) because they ensure a process of transition from allantoic to pulmonary respiration and also play a part in the length of the incubation process (Dewil et al., 1996). The current finding for T3, T4 and T3/T4 levels of chicks reveals a combined influence of Ab and O2 levels on T4 level and breeder eggs hatched from 15% O2 than other interactive counterparts. The T4 level was elevated at 15% O2 compared with 17% but not different from the 21% O2 level during incubation. Şahan et al (2011) reported a higher T3, T4 and T3/T4 ratio for high-altitude (hypoxic) hatched chicks than low-altitude (normoxic) chicks. In partial agreement with Hassanzadeh et al. (2004), no effect of both high and low altitudes on T3, but breeder age and O2 levels interacted to obtain higher levels for hypoxic for both 33 and 50 wk breeder eggs. Bahadoran et al. (2010) found higher plasma T3 concentrations with a lower T3/T4 ratio for high-attitude hatched chicks. Hypoxia due to high altitude during early embryogenesis may change the endocrine functions of the embryo, enhance growth, or shorten the hatching process of chickens (Bahadoran et al., 2010). The interactive significant impact of high T4 over T3 and T3/T4 ratio for stimulated hypoxic conditions could indicate that embryos from different breeder ages may have different metabolic mechanisms or may require different levels of energy necessary for pipping and hatching.

Histological Analysis

The histological formation of neo-vascularization in the heart, lungs and liver is presented in Table 5 and Figure 3, Figure 4 to 5. The current study shows that with the exception of the liver tissue of 33 wk * 17% and 21% O2 level and lungs at 17% O2 level having normal tissue development, all the other tissues of both breeder ages had a high (vessels seat moderate congestion, “+++”) to a very high (ectatic vessels with high congestion, “++++”). Very high congestion was seen in the tissue of the lungs and liver of 50 wk embryos exposed to 15% and 17% O2 levels. The same is also observed for the heart and lungs of 33 wk breeder age. High and moderate congestion was seen in the heart tissue under 17% O2 level for 33 wk breeders while under 15% and 17% O2 level for 50 wk breeders and in the 15% and 21% O2 of the lungs.

Table 5. Neo-vascularization in internal organ tissue of chicks of 33 and 50 wk breeder age exposed to reduced oxygen concentration levels from ED 7- 9.

Groups Neo-vascularization score
Breeder age (Ab) Oxygen level (O2) Heart Lung Liver
33 wk 15% ++++ ++++ +++
17% +++ ++ ++
21% ++++ ++++ ++
50 wk 15% +++ ++++ ++++
17% +++ ++++ ++++
21% ++++ ++++ +++
Breeder age and Oxygen concentration (Ab * O2): 33 wk * 15% O2 (33 weeks breeder eggs incubated under 15% O2); 33 wk * 17% O2 (33 weeks breeder eggs incubated under 17% O2), 33 wk * 21% O2 (33 weeks breeder eggs incubated under 21% O2), 50 wk * 15% O2 (50weeks breeder eggs incubated under 15% O2), 50 wk * 17% O2 (50weeks breeder eggs incubated under 17% O2), 50 wk * 21% O2 (50 weeks breeder eggs incubated under 21% O2).
Neo-vascularization grading; ++++ = Very high (ectatic vessels with high congestion); +++ = high (vessels seat of moderate congestion); ++ = Normal (normal tissues)
Figure 3

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Figure 3. Histology of the heart of chicks showing neo-vascularization of embryos exposed to reduced oxygen concentration level from ED 7- 9. abcdef: Image of breeder age * oxygen concentration level (Ab * O2); a: 33 wk * 15% O2 (33 weeks breeder eggs incubated under 15% O2); b: 33 wk * 17% O2 (33 weeks breeder eggs incubated under 17% O2), c: 33 wk * 21% O2 (33 weeks breeder eggs incubated under 21% O2), d: 50 wk * 15% O2 (50 weeks breeder eggs incubated under 15% O2), e: 50 wk * 17% O2 (50 weeks breeder eggs incubated under 17% O2), f: 50 wk * 21% O2 (50 weeks breeder eggs incubated under 21% O2). Neo-vascularization grading: ++++ = Very high (ectatic vessels with high congestion); +++ = high (vessels seat of moderate congestion); ++ = Normal (normal tissues).

Figure 4

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Figure 4. Histology of the lungs of chicks showing neo-vascularization of embryos exposed to reduced oxygen concentration level from ED 7- 9 abcdef: Image of breeder age * oxygen concentration level (Ab * O2); a: 33 wk * 15% O2 (33 weeks breeder eggs incubated under 15% O2); b: 33 wk * 17% O2 (33 weeks breeder eggs incubated under 17% O2), c: 33 wk * 21% O2 (33 weeks breeder eggs incubated under 21% O2), d: 50 wk * 15% O2 (50 weeks breeder eggs incubated under 15% O2), e: 50 wk * 17% O2 (50 weeks breeder eggs incubated under 17% O2), f: 50 wk * 21% O2 (50 weeks breeder eggs incubated under 21% O2).

Neo-vascularization grading: ++++ = Very high (ectatic vessels with high congestion); +++ = high (vessels seat of moderate congestion); ++ = Normal (normal tissues).
Figure 5

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Figure 5. Histology of the liver of chicks showing neo-vascularization of embryos exposed to reduced oxygen concentration level from ED 7- 9. abcdef: Image of breeder age * oxygen concentration level (Ab * O2); a: 33 wk * 15% O2 (33 weeks breeder eggs incubated under 15% O2); b: 33 wk * 17% O2 (33 weeks breeder eggs incubated under 17% O2), c: 33 wk * 21% O2 (33 weeks breeder eggs incubated under 21% O2), d: 50 wk * 15% O2 (50 weeks breeder eggs incubated under 15% O2), e: 50 wk * 17% O2 (50 weeks breeder eggs incubated under 17% O2), f: 50 wk * 21% O2 (50 weeks breeder eggs incubated under 21% O2).

Neo-vascularization grading: ++++ = Very high (ectatic vessels with high congestion); +++ = high (vessels seat of moderate congestion); ++ = Normal (normal tissues).
Neovascularization is the formation of new blood vessels irrespective of the type or size of the organ. The neo-vascular differentiation in the tissue shows that the liver and lungs of older flocks may have a distinct response to hypoxia under 15% and 17% O2 levels compared to the heart which might require a higher hypoxic level of 15% O2 level to respond, regardless of the observed tissue congestion under 21% O2 level. The varying levels of congestion in the heart, lungs and liver tissues of embryos suggest a highly intricate relationship between breeder age and O2 levels in response to hepatic neovascularization. Adair et al. (1987) reported that sustained hypoxia in the embryo causes vasodilatation and decreases systemic vascular resistance. Literature is limited to explaining the above findings. Nonetheless, in some close research, Hao et al. (2014) noted a notable increase in miR-15a expression in embryonic lung tissue under low oxygen (hypoxic) conditions, emphasizing tissue-specific responses to hypoxia. This could confirm why the heart, lungs and liver have varying congestion under 15% and 17% O2 levels. Hypoxia affects cardiac and vascular disease in chick embryos by adaptive transcriptional changes in the lungs and hearts of high-altitude animals (Salinas et al., 2009; Ge et al., 2021). By observing elevated plasma lactic acid levels in high-altitude embryos, Hassanzadeh et al. (2004) attributed the change in tissue to anaerobic metabolism of embryo organs caused by hypoxic conditions. Hypoxia plays a role in the vascularization of the heart via its vasodilatory effects, once the coronary circulation is functional (Tomanek et al., 2003). This response is in line with the chick’s body’s attempt to increase oxygen supply or provide rapid support for angiogenesis under conditions of tissue damage especially to tissues of the heart and lungs, when reduced oxygen availability is present (Hsia et al., 2013).
Low oxygen levels may have been compensated for by both breeder ages, resulting in a more controlled and normal neovascular response in the heart and lung tissues of the chicks (Pearce, 2006; Miller and Zachary, 2017). This observation could be true for younger breeders compared to older birds as observed in the current finding of 33 wk breeders at 17% O2 level. The process occurring within tissues may be an adaptive response to oxygen deprivation or low O2 levels and that triggers hypoxia-induced neovascularization (Michiels, 2004). Abdollahi et al. (2011) also discussed how micro-environmental conditions such as hypoxia regulate stem cell differentiation, and this could be pertinent to the neovascular response observed in heart and lung tissues. Hypoxia has been reported to influence the development (morphological and physiological) of chick embryos and their effects may depend on the timing of their application during incubation (Altimiras and Phu, 2000; Chan and Burggren, 2005; Onagbesan et al., 2007) since various organs develop and mature at different stages of embryo development.

CONCLUSIONS AND APPLICATIONS

  • 1.
    Early stimulation of embryos for 1 h daily from ED 7-9 (specifically on the 3rd hour of each day) with low O2 (15% and 17%) during incubation did not affect the heart weight, however, a reduced growth rate was observed at hatch.
  • 2.
    Liver weight increased in older breeders exposed to hypoxia compared to normoxia (control group).
  • 3.
    Early mild hypoxic stimulation increases CAM vascularization, which is higher in 50 wk compared to 33 wk breeder flocks. Increased vascularization improves gas diffusion and blood transport abilities to embryonic organs as a form of an adaptive strategy.
  • 4.
    In hypoxic-stimulated chicks at hatch, the combined effect of breeder age and O2 level was associated with higher blood metabolite profiles indicating greater oxygen-carrying capacity of the blood metabolites.
  • 5.
    High levels of ectatic vessel dilation and congestion are an adaptive response of the heart, lungs and liver to hypoxia.

Source: Science Direct

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