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For poultry processors seeking to optimise their anatomic leg processing operations, ALPINE offers unparalleled efficiency, consistency and ease of use. (Image source: Marel)

Given the high demand for deboned leg meat, the Anatomic Leg Processor Innovative New Evolution (ALPINE) represents a significant leap forward in anatomic leg processing

By maintaining top-level performance while handling a wide range of weights and reducing labor dependency, ALPINE addresses processors' needs for increased production volumes while also maximising yield and quality. A number of advanced technologies such as the Hip Dislocation Wheel have been used to realise ALPINE's high performance. 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 inexistent leg loss. 

In an attempt to further enhance accuracy and minimise 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 labour.

Easy operation

ALPINE is equipped with a user-friendly HMI touchscreen, making 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 backpiece detection, leg loss, and unprocessed legs. Built-in machine software provides this real-time and historical performance data. Such proactive insights minimise 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

Designed to process high-yield anatomic legs across an unprecedented range of bird weights without requiring major adjustments, ALPINE's versatility is valuable for processors handling diverse flock weights. This enables them to optimise operations even in big bird processing markets. 

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 labour

Keeping legs within the shackles at all times enables ALPINE to practically eliminate product drops and minimise rework, downtime and labour. 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.

 

 

 

The system is designed to maximise efficiency in feed management, allowing producers to reduce costs and optimize resource utilisation. (Image source: Topcon)

Leading precision agriculture designer, manufacturer and distributor, Topcon Agriculture recently announced the launch of its latest feeding system, TMR Flex Pro that enables smooth management of the feeding process

The system also provides real-time insight in key aspects such as dry matter, refusals and pen deliveries. Besides accuracy, other key elements that are critical to this include elements such as time and flexibility. This is particularly important for larger farms. Developed together with farmers, the modular TMR FlexPro helps improve daily workflow on the go and in a practical and convenient way. 

A major advantage of this system inclues its self-explanatory interface which is simple and reduces the learning curve, while also ensuring ease of use for individual operators and feeding teams. Moreover, the system also allows multiple users to seamlessly collaborate during the loading and delivery process, thereby enhancing not only visibility, but also efficiency and productivity. 

“Ingredient tracking functionality enhances inventory control, and the system’s unique refusal recording and substitution feature reduces feed waste, improving sustainability and farmers’ return on investment,” said Topcon Agriculture's senior vice president and segment leader of nutrition and weighing technologies, Wim De Wit

The system comprises the Digi-Star FD1 tablet, a data transfer device, and the TAP FEED Pro/Feedlot subscription and is designed to maximise efficiency in feed management, allowing producers to reduce costs and optimise resource utilisation. It offers enhanced data visibility and monitoring capabilities, providing farmers with valuable, data-driven insights for better planning and decision-making. 

“TMR Flex Pro can be connected to existing Digi-Star scale systems or load cells of any kind on any brand feed mixer. It is the best-in-class upgrade solution to achieve a next-level feed management experience on any type or size dairy and feedlot operation,” De Wit said. “The TAP FEED cloud platform allows producers to collaborate with their trusted partners such as feed suppliers, nutritionists, and others who all have an increasing need for real-time data for the benefit of their advancing business models and sustainability agendas.”

 

 

Monitoring estrus intensity in cattle helps optimise reproduction and can be done efficiently with visual estrus detection aids. (Image source: ESTROTECT)

Although all estrus cycles are not the same for individual females within a herd, it is one of the most important indicators of whether a cow or heifer will be successfully bred

Animal reproduction professor at the University of British Columbia in Canada, Ronaldo Cerri, PhD is carrying out research work to improve cattle fertility by identifying which cows and heifers are the best candidates to breed using tactics like artificial insemination (AI) and embryo transfer (ET), with estrus intensity as the deciding factor.

Cattle have typical baseline activity when they aren’t in estrus. When they start to enter estrus, their activity rises as the intensity of the estrus increases. Pinpointing when estrus is about to peak is crucial to a successful pregnancy. 

After analysing extensive data from estrus detection sensors, Cerri and other researchers have pinpointed patterns based on what’s occurring during estrus. Cows exhibiting low estrus intensity tend to have lower concentrations of progesterone during the growth of the ovulatory follicle and fail to ovulate more often than those with high estrus intensity. Similarly, ET recipients that show high estrus intensity have more consistent pregnancy results.

“The patterns are very consistent in many of the studies we do,” said Cerri. “Cows with lower estrus intensity always display less physical activity, but they also have lower pregnancy rates. On the flip side, cows with high estrus intensity display more activity and have higher pregnancy rates.”

Evaluating estrus intensity

Using heat detection tools to evaluate estrus intensity can help to pick and choose which cows are the best candidates to breed at a particular time. While implementing a mass breeding protocol, offers the option to use estrus intensity to direct choices on what type of genetics to use.

With breeding indicator patches, estrus can be monitored by looking for patches that have 50% or more of the surface ink rubbed off as being in high estrus intensity and are ready to breed. Females with less than 50% of the surface ink rubbed off are in low estrus intensity and could be bred with lower-cost genetics or bred later when they have reached high estrus intensity.
 
With millions of units sold around the world, the ESTROTECT Breeding Indicator is the industry standard for optimising cattle breeding efficiency and economics which has been tested in a multitude of university studies by researchers.

The project aims to make Somalia self-sufficient in broiler production and contribute to the development of the livestock sector. (Image source: TİKA)

Focused on reducing Somalia's reliance on imported chicken meat, the Turkish Cooperation and Coordination Agency (TİKA) recently launched the 'Breeding Broiler Production Project' in the region

The project aims to make Somalia self-sufficient in broiler production and contribute to the development of the livestock sector. Launched in 2020 through a collaboration between TİKA and Zamzam University’s Anatolian Faculty of Agriculture, a poultry house and hatchery facility were constructed within the faculty.

Building on this initiative, a Feed Production Centre was established in 2023 at City University’s Faculty of Agriculture in the capital, Mogadishu. The 'Breeding Broiler Production Project' was implemented as part of the next phase to reduce Somalia’s reliance on imported chicken meat. 

Stages of the project

First, a total of 5,900 mother and father line eggs of Anadolu-T, Türkiye’s domestic broiler breed, are brought from Türkiye and incubated at the faculty’s facility. After being thoroughly inspected by Turkish experts, the hatched chicks are then transferred to breeder poultry houses for further growth and care.

Additionally, a training programme was organised for the students and lecturers of the Faculty of Agriculture, providing a detailed explanation of the stages of chicken production. 

The new FeedMixer App makes feed mixing easier by calculating whether the feed mixtures farmers use contain the right balance of key nutrients, by age, type of chickens, and available ingredients. (Image source: World Poultry Foundation)

In an attempt to make optimal poultry nutrition easier, while also helping farmers save money and improve profits, a free mobile app called the FeedMixer App was designed by poultry nutrition experts at the Poultry Science Department at the University of Georgia in the US

Rising commercial feed costs as well as limited grain supply is urging poultry farmers in Sub Saharan Africa and most regions around the world to self-mix their chicken feed. However, a majority of farmers lack adequate knowledge, causing them to fail at achieveing the right balance of grains, oils and other available ingredients needed to ensure optimal nutrition for different types of birds at different stages.

The new FeedMixer App, a relaunch of an older version of the app, makes feed mixing easier by calculating whether the feed mixtures farmers use contain the right balance of key nutrients, by age, type of chickens, and available ingredients.

Sean Chen, assistant professor/extension specialist at the Department of Poultry Science at the University of Georgia highlighted how farmers are often unaware of the fact that the nutrient needs of chicken may vary depending on the stage of life they are currently in, which is why broilers and layers for example, would need to be fed differently. Selecting the appropriate feed components would therefore be essential for optimising bird health and productivity, while at the same time minimising resource wastage. 

"We feed various types of feed mixes to different breeds of birds because different breeds have distinct characteristics and purposes," said Chen. "For instance, broiler chickens are primarily raised for meat production. These chickens grow rapidly and require a diet supporting muscle development and efficient feed conversion into meat. Broiler chickens need feeds rich in proteins, carbohydrates, and fats to ensure optimal growth and flavourful meat production. On the other hand, laying hens are specifically bred to produce a consistent supply of eggs. They require a different set of nutrients to support their reproductive system and the formation of solid eggshells. Their diet should include adequate proteins, vitamins, minerals, and calcium to support strong eggshell and egg production."

Maureen Stickel, director of the International Programme Development at the World Poultry Foundation also underscored how the app would help guide farmers who might have trouble accessing traditional feed ingredients such as soy or corn due to cost or local availability.

Users simply click on the type of chickens they are feeding, and select the ingredients they have available to them, such as maize, cassava, oil, bran, soybean meal, fish meal, and salt, in the proportions they intend to blend. The app will indicate whether their chosen feed mix delivers adequate energy, protein, fibre, vitamins and minerals to efficiently nourish the birds without wastage. Users can input the cost of the ingredients they use, to calculate whether their feed mix is cost effective, and they can save their own feed mix formulas in the app for future reference.

To make it convenient for users, the app is currently available in a number of languages including English, French, Spanish and Portuguese. It also offers useful content and resources such as preloaded feed mix examples for different types of birds, and diet guidelines for each breed and age of bird.

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