How AI technology is influencing the breeding and training of racehorses

Article by Virginia Lisco

Artificial intelligence (AI) is growing significantly across all industries, revolutionising the way we approach work. In many areas, it facilitates the storage and processing of big amounts of data that the human mind would not be able to handle alone, helping us make more informed decisions based on objective information. 

Although this development is progressing at a slightly slower pace in the racing industry compared to other sectors, the introduction of AI and the use of tech devices that collect data and turn it into analysis are gradually finding their place in this field as well. 

The world of racing, which has so far been characterised by an aura of unpredictability - part of the excitement and thrill that makes it so captivating - is actually an industry filled with data and variables that can be measured and analysed. 

Thanks to AI and new technological devices, which leverage generations of data, extremely innovative systems are emerging that provide objective answers to questions that once relied solely on human intuition and observation. 

However, this does not mean that the rise of these devices should be seen as a replacement for human expertise, but rather as a valuable support. These tools will never replace the role of bloodstock agents, trainers or breeders, but will instead assist them in the decision-making process by offering insights based on empirical data, making their choices more informed and objective.

From the initial selection of the right match between mare and stallion, through identifying the ideal yearling at sales, to measuring the horses' vital parameters during training and providing race recommendations, artificial intelligence and tech devices are offering 360-degree support.

BREEDING

Since the earliest days of breeding, the dream of every thoroughbred racehorse breeder has been to create perfect champions, endowed with the ideal combination of strength, stamina and temperament. 

Over the centuries, the quest to unlock the secret of breeding invincible horses has lingered between genetic theories, intuition and bold experimentation. Federico Tesio, one of the most visionary figures in the field, argued that success was not merely a matter of a fortunate combination of genes but was deeply tied to the intrinsic energy of the horse. This approach, combined with rigorous selection and careful evaluation of bloodlines, formed the foundation for pursuing those winning combinations that could produce extraordinary champions.

But what if today’s breeders could go beyond intuition and legacy knowledge? What if data science could predict the best match for your stallion and mare? 

With access to an immense database of nearly four million horses, AI-powered predictive tools are now transforming breeding and buying decisions, enabling breeders to make choices grounded in data. 

These tools, built upon established pedigree theories, offer insights backed by over 30 generations of bloodstock data, tracing back to the very beginning of the thoroughbred breed. By harnessing this wealth of information, breeders can optimise their strategies like never before, ensuring each pairing is a precise, informed step towards crafting the next racing legend. 

One company leading this transformative shift is Equine Match, leveraging AI-driven systems to revolutionise pedigree analysis and breeding decisions. Equine Match's advanced tools allow breeders to analyse not just the direct bloodline of a horse but also to assess its performance across three to five generations. 

By examining the racing and pedigree features of ancestors, including sires, dams, and their progeny, Equine Match can predict with up to 95% confidence how a horse will perform at various racing levels, from Black-Type performers to stakes winners or group winners. 

Equine Match’s predictive algorithms calculate these probabilities based on a unique combination of sire and dam ratings, which factor in expected versus actual progeny results and evaluate the broader distaff family. The pedigree pattern analysis further weighs the success of specific ancestral combinations using Z Statistics scores, comparing results against a standard score to identify statistically significant patterns. 

With access to a vast database of nearly four million horses, Equine Match can assess the quality of prospective matches, enabling breeders to search for their ideal sire and dam combinations, view real-time performance metrics, and even analyse hypothetical pedigrees for potential inbreeding coefficients and alignment with the ideal racing profile.

Another cutting-edge advancement in the breeding industry is the use of genomic tools to create the perfect match. These tools go beyond traditional pedigree analysis by examining the genetic profile of horses at the DNA level, revealing insights that were never accessible before. 

One leading example is Checkmate, a revolutionary online breeding tool powered by Equinome. Checkmate enables breeders to analyse their mare's genetic profile in high definition and identify stallions that best complement her DNA, all from a simple blood sample that uncovers details beyond the pedigree.

Checkmate empowers breeders and stallion owners to manage genetic inbreeding risks, increasing the chances of live foals and enhancing racing durability. Scientific studies have shown that higher levels of genomic inbreeding are linked to severe issues such as foal loss, stillbirths and decreased racing potential. 

Research from the Royal Veterinary College and University College Dublin has highlighted the significant impact of inbreeding on foal viability and racing success, underscoring the importance of managing these risks. Checkmate provides real-time predictions of genomic inbreeding in hypothetical foals by matching the DNA profile of a mare with that of up to ten chosen stallions, calculating risk scores and flagging high-risk matings.

Checkmate helps breeders avoid high-risk genetic combinations that could lead to foal loss, thereby allowing them to make more informed breeding decisions. By leveraging genomic data, breeders can refine their breeding strategies, enhancing the health and durability of their foals and pushing the limits of what is achievable in thoroughbred breeding.

The advent of these advanced tools represents a significant shift in the breeding landscape. As Luca Cumani, breeder at Fittocks Stud, notes, “This will be a progressive change to refine choices, and it will always need to be paired with human observation, but it's important to be open to understanding how these new technologies work.”

AT THE SALES 

During the Sales, the phrase “good luck” is often exchanged, reflecting the hope of finding and securing the best horse, a potential future champion, from the lengthy catalogues. 

But is success really just about luck, or is there a way to minimise this element and base our decisions on more objective criteria? 

Recently, a range of advanced tools have been developed to support bloodstock agents, trainers, and owners in their search, using AI-based systems that draw from extensive databases to inform better decision-making. There are various methods to approach these objective analyses, including pedigree evaluations, biomechanical assessments.

For example, a significant advancement in this field is HALO, featuring its AI assistant "Hailey," designed to guide buyers through the complexities of sales selection. Hailey analyses detailed data on each horse, from performance history and pedigree to biomechanical evaluations. 

What truly sets HALO apart is its partnership with the most advanced Vet-AI on the market, that contributes to providing a record of the health of the horses that will be purchased. This partnership enables Hailey to deliver a detailed health record of the horse being considered, interpreting complex veterinary reports such as X-rays with remarkable accuracy and predicting potential health issues.

Also, Equine Match helps users refine their shortlists by analysing pedigree quality, racing performance of progeny, and detailed sire ratings, to provide an objective assessment of each horse’s potential. This approach enables users to manage and compare a large volume of data in a short time, far beyond what the human mind could achieve, enhancing the overall selection process with precise, data-backed insights.

Another interesting tool is Tom Wilson’s biomechanical profiling technique, which evaluates a horse’s physical structure and movement patterns to gauge its racing potential. Wilson has extensively studied the link between biomechanics, kinematics and on-track performance. His approach involves collecting detailed data on every yearling sold at auctions in major markets like the UK, Ireland, France, the US, Australia and New Zealand.

Key measurements include joint angles, the speed and velocity of specific body parts, the coordination between joints, and the cycles and rotations of their gait. By analysing this information from a growing database of 6,000 yearlings, Wilson identifies the biomechanical traits that correlate most strongly with racing ability. This data-driven approach allows comparisons between a horse’s biomechanical profile and its subsequent performance on the track, highlighting the most critical joint movements that influence future success.

The use of AI and data-driven tools represents a different approach from the traditional methods of horse selection, striking a delicate balance between technology and intuition. As breeder Franca Vittadini notes, “AI will never help me feel the sensation a horse gives me when I look at it, or see the small flaws and qualities that make me think it’s the right one.” 

Yet, there is also recognition of the need for more objective strategies. As Spencer Chapman, co-founder of Equine Match, states, “we’ve got to find a more scientific way to select.” This blend of traditional expertise and modern technology is reshaping how the industry identifies and invests in future champions.

RACING 

The use of AI in racing recommendations is revolutionising how trainers, owners, and jockeys approach race strategies. Advanced AI tools analyse vast datasets, including past performance, track conditions, and competitor analysis, to provide insights that were previously difficult to obtain. 

HALO’s simulation video allows users to visualise a potential race scenario, predicting how a horse might perform under specific conditions such as pace, positioning, and track type. This technology helps trainers make informed decisions on race tactics, selecting the right race for their horse, and optimising performance on race day.


HORSE PERFORMANCE AND HEALTH 

The health and physical condition of horses in training play a crucial role, not only in achieving optimal performance but, more importantly, in ensuring a high level of welfare. 

In the racing landscape, new tech devices have emerged that assist in monitoring and preserving the health of horses. These tools are essential for analysing causes of underperformance, determining the ideal fitness level for racing, and, most critically, reducing the risk of injuries. 

The trainer’s job is extremely challenging, requiring them to understand, observe and analyse a horse’s physical and mental condition from all angles. They must assess the horse’s aptitudes, such as distance preference, track surface suitability, and the appropriate amount and type of work, all while trying to maximise the horse’s potential. This delicate task relies not only on the trainer’s personal observations, instincts and sensations but also on the feedback of riders.

The use of GPS devices opens a new frontier in modern training, providing real-time insights into a horse's performance and physical condition. These specialised tools work by attaching sensors to the horse, usually in the girth area, to capture data on various metrics such as heart rate, stride length, speed, and acceleration. 

This data is then transmitted to a connected device, like a smartphone or tablet, where it can be analysed by trainers and veterinarians. The GPS provides insights into the horse’s fitness level, recovery rate, and overall performance, allowing for precise adjustments in training programmes.

By continuously monitoring these parameters, GPS devices help detect early signs of fatigue, underperformance, or potential injuries, enabling preventive measures to be taken and ensuring the horse maintains peak condition while minimising health risks.

An example of this advanced technology is the Equimetre by Arioneo, a device used by multiple trainers worldwide and in collaboration with organisations like the Hong Kong Jockey Club, NYRA and Racing Victoria. 


Trainers like George Scott rely on Equimetre to gather crucial data that enhances their training strategies. According to trainer Scott, “We use Equimetre to collect data which I’m becoming increasingly more committed to. A basic starting point is the fractions. You can back up what you’ve seen with your eyes against the clock. Cadence is a great indicator on trip. Recovery taken at three stages after work and trot symmetry are also helpful.” 

This data allows trainers to corroborate their observations with objective measurements, providing a more comprehensive understanding of a horse’s condition. The influx of data from such devices is also giving rise to a new professional figure in the racing industry: the data analyst. 

To address this growing need, Arioneo has introduced the "Equiscience Programme," aimed at developing skills in data interpretation and analysis specific to equine performance. This program reflects a broader trend in the industry, where data-driven insights are becoming essential for optimising training and enhancing decision-making, complementing the traditional expertise of trainers and riders.

The primary goal of these companies remains the enhancement of horse welfare. As Coline Labadie de Faÿ, COO of Arioneo, states; “The vision has always been to collaborate with the industry and provide tools to improve horse welfare and prevent injuries on a global scale. Institutions worldwide are becoming more and more concerned by the social licence of our sport and are putting concrete measures in place to try to avoid all possible injuries.” 

This growing awareness is driving the adoption of advanced tech devices designed to monitor and protect the health of horses, even around the clock.

Among these technologies is the V-PRO by Equimetrics, which offers 24/7 monitoring of vital signs such as temperature, heart rate, and respiratory rate, providing real-time insights into the horse’s well-being through a user-friendly app. 

Another example is EQUISYM, a veterinary tool that helps diagnose locomotor asymmetries by analysing gait and movement patterns, aiding in the early detection of potential issues. These innovations reflect the industry's increasing focus on comprehensive health management and injury prevention, supporting the overall welfare of horses in training.

While these advanced devices offer valuable insights, they are complementary tools that work alongside the hard work and expertise of trainers, veterinarians, and riders. They enhance traditional methods without replacing the essential human touch in horse care and training. As Labadie de Faÿ suggests; “It will never replace your eyes; it will just help to not miss some little things.” 

These technologies are there to support, not substitute, the critical role of human observation, judgement and experience in ensuring the well-being and performance of horses.

How to adapt the race distance to win

In association with Arioneo

How often have you heard that a horse is bred to race a certain distance? That may be accurate, but sometimes stride length and frequency data say otherwise. Some research shows the interest in modelling a horse’s race distance using locomotion data. Thus, we could theoretically use the measurement of a horse’s stride frequency to determine his ideal distance.

Although it may not appear to be a big deal, extending 100 or 200m to the regular race distance might help a horse’s season in specific circumstances.

Madame Arionea’s story – Concrete example

·        4yo filly that we will call Madame Arionea

·        During her 2yo season, she raced over 1100m (5.5f) and ran well

·        During her 3yo season, she didn’t show any progress even though she showed good fitness abilities during training

Why did this promising mare fail to advance in her three-year-old season over 1100m (5.5f) while demonstrating strong physical ability in training?

1.      Assessing her fitness

To begin analysing Madame Arionea’s underperformance, we will review her cardiac data from her three-year season.

We can evaluate Madame Arionea’s recovery and thus quantify her fitness level by studying the evolution of heart rate and speed at the same time. If it is insufficient, this may explain her poor performances.

Heart rate and speed curves from the Equimetre platform

Madame Arionea recovers rather effectively after her effort, as seen by a fall in the heart rate curve at the same time as the decrease in the speed curve.

Analytics - Equimetre platform

The data in this table shows the various exercises performed at speeds greater than 60km/h. This enables us to assess recovery capability and its progression following a high-intensity activity.

The data provided above allow us to confirm that Madame Arionea is in excellent physical condition.

Indeed, her recovery ability is classified as normal both immediately after the activity and 15 minutes afterwards.

About Equimetre – Racehorse Monitoring system

2.     A better understanding of the stride profile

Following this discovery, another type of data should be investigated: locomotion. Stride length and stride frequency analysis has been suggested as a technique for modelling a racehorse’s preferred distance. Thus, by quantifying a horse’s stride frequency, one may possibly determine the race distance over which he performs best.

Good to know

·        According to the theory, a large stride length paired with a less remarkable stride frequency correlates to a miler or stayer stride profile. A profile that combines a very high stride frequency with a less spectacular stride length, on the other hand, belongs to a sprinter.

·        It is important to remember that horses are living beings and high-level athletes, and that these principles on the pair stride length/frequency pair do not represent a precise science but provide valuable references.

To assess Madame Arionea’s stride abilities, we shall examine her stride frequency and length at a speed of 60 km/h rather than at top speed. This enables us to make appropriate comparisons between training sessions and investigate this parameter under the same settings.

From the above data, we can define Madame Arionea’s stride profile.

Because her stride frequency does not enable her to compete with horses with the profile of a Sprinter, this mare would be better comfortable at a distance slightly longer than 1100m (5.5f).

3.      Madame Arionea’s acceleration strategy

Let’s have a look at Madame Arionea’s acceleration strategy to round up this examination. This involves measuring her change in stride length and stride frequency during the training’s acceleration phase. This technique enables us to objectively assess Madame Arionea’s acceleration.


Madame Arionea reaches her maximum speed by increasing of her stride length (green curve) first. What does this tell us? Her acceleration time will be longer, but this will allow her to save her energy since the heart rate is based on the horse's stride rhythm. In a longer stride, she breathes longer, and inhales a greater volume of air.  Thus, the race distance chosen should allow Madame Arionea to take the time necessary to reach her maximum speed during the final sprint.

WHAT DECISION DID THE TRAINERS MAKE REGARDING THIS ANALYSIS?

Given Madame Arionea’s positive 2-year-old season over 1100m and her locomotion data, the trainers decided to progressively increase her racing distance and attempt her over 1300 / 1400m (6.5f / 7f).

Madame Arionea was not monitored throughout her two-year-old season, but we can make the following assumptions. The mare’s locomotion changed once she gained strength and endurance. Her stride length grew while her stride frequency decreased. As a result, for her to perform successfully, her racing distance needed to be increased to provide her time to accelerate.

Madame Arionea won her first race over 1300m (6.5 f), and never race again under 1300m. 

The gait of a horse can change as he ages. For example, even if a horse had a good sprint season as a two-year-old, his locomotion evolution must be quantified. You may check that the distance chosen for future races is adequate for his locomotor profile this manner.

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Inexplicable underperformance: investigate it with the ECG analysis

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In association with Arioneo

Providing veterinarians with a real diagnostic challenge, underperformance in the racehorse can be difficult to investigate if the horse’s environment does not benefit from reliable technologies to collect historical data. Indeed, it is difficult to determine the cause of underperformance without almost daily monitoring. The symptoms to be identified are most often subclinical, i.e. they are difficult to detect at rest and during effort.  The detection of under-performing horses within the racing industry is a real challenge. Carrying out prevention and detection work could in fact make it possible to avoid serious accidents in training or on the racecourse.

In order to detect the elements influencing the performance of the athletic horse, it is interesting to analyse  evolution during an exercise because things that do not occur at rest can appear.

In a series of two articles, we will analyse two cases of underperformance encountered by the leading vet,  Dr Emmanuelle van Erck.

In the first case we investigate the loss of performance of a 3-year-old filly. The latter had promising performances during her 2-year-old season and then injured her tendon. The trainer decided to stop her until next season. Once prepared for the return to training, the mare showed good abilities and her return was very satisfying. However, a nosebleed was detected after a small canter. The tracks were not particularly deep and there were no circumstances that could explain this bleeding.

In order to investigate the causes of this bleed, the first step was to analyse the data from the mare when she presented her nose bleed. 

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Screenshots of the EQUIMETRE Platform

It can be seen that the speed data are low: the effort does not go beyond 47km/h. The effort was of low intensity, but the heart rate is still very high, up to 217 bpm.

It was necessary to analyse the data from a more sustained training session in order to observe what is happening.

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The data is normal: the heart rate changes at the same time as the speed. 

The veterinarian decided to compare the horse’s data with those of the other horses, who have done similar work. The data does not show any recovery anomalies, the two curves that are superimposed do not show any significant difference. Her heart rate is a little high after the effort, but nothing catastrophic is observed.

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1st conclusion: There is no explanation for the nosebleed in the data.

The veterinarian then decides to look at the ECG of this mare. The latter is pathological and shows 8 superventricular extrasystoles in 1 minute. This is far too frequent, especially in the warm-up and recovery phase.

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ECG collected by the EQUIMETRE. Arrows show the arrhythmias.

 

2nd conclusion: The mare has relatively correct parameters. However, arrhythmias during effort are detected. They lead to the bleeding because the mare is in hyper-tension at the pulmonary level each time, she has an arrhythmia. During an arrhythmia, the heart skips a beat: whereas it should have beaten and expelled blood, the heart continues to fill up until the next beat, where it expels a large amount of blood, which puts too much pressure on the delicate blood vessels in the lungs and causes them to burst, resulting in bleeding.

It is therefore necessary to investigate bleeding during the effort. To do this, the veterinarian has performed a bronco-alveolar lavage. That is to say, he took cells from the lungs to analyse them under a microscope. The examination revealed regular bleeding in the lungs. Although she only had a nosebleed once, there was a bleeding in the lungs at each training session. The veterinarian must then understand the reason for this bleeding.

As the mare has no underlying heart problem (no heart murmur, no heart abnormalities and a normal heart morphology), the vet decides to examine the tendon. It is noticed that the tendon is abnormally scarred. This induces stress on the tendon which triggers pain manifested by extrasystoles visible on the ECG. When the mare is working under anti-inflammatory medication, she has less extrasystole, but this is not possible during the race. The pain explains the arrythmias that cause the bleeding

It is necessary to follow the mare over time in order to evaluate her pain tolerance by means of ECGs. Without reducing the arrhythmias, it is not recommended to put her back into intense training. If she is engaged in racing, she risks having irreversible lesions in her tendon as well as more severe bleedings.

Technology at the service of the performance and well-being of the equine athlete

The role of new technologies today is to make the link between veterinarians and trainers. It is impossible for the veterinarian to be present every day at training. Thus, thanks to monitoring, the vet can carry out preventive work at a distance by following indicators from the computer. If the trainer detects an alarming sign, they can talk to their veterinarian about it and show the vet the data history. These connected systems improve the monitoring of horses and the connection between the different members of their entourage.

Human athletes all benefit from these technologies to protect them on a daily basis while maximising their chances of performing. The racing world in turn, has the opportunity to protect its athletes!

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Tech advances - opportunities for trainers

From heart rate monitors to GPS trackers, smart treadmills to light masks and even Artificial Intelligence, a plethora of new technologies has breezed onto the market in recent years, all claiming to offer trainers an edge in a sport where every pix…

By Alysen Miller

From heart rate monitors to GPS trackers, smart treadmills to light masks and even Artificial Intelligence, a plethora of new technologies has breezed onto the market in recent years, all claiming to offer trainers an edge in a sport where every pixel in a photo finish counts. And it’s not just on the gallops where their impact is being felt; everywhere from the barn to the breeding shed, a raft of new gadgets is quietly powering a technological revolution that has the power to reshape the racing industry. So in this brave new world, how do trainers ensure that they are exploiting every possible technological advantage at their disposal in their quest to leave no margin left ungained?

The reality is that, in an increasingly data-driven world, racing has been ironically slow to catch on to technologies that have already become mainstream in sports ranging from running to cycling. Every MAMIL (middle-aged man in lycra) worth his electrolyte gel has his own GPS tracker fitted to his carbon fibre bike. Now, companies such as Arioneo and Gmax are helping the racing industry catch up to the peloton by providing real-time exercise data, allowing trainers to track horses’ speed, cadence, sectional times and stride length, as well as heart rate and other biometrics using a device fitted to the horse’s girth. These data are then fed back to an app, allowing every aspect of the horse’s work and recovery to be assessed. 

Lambourn-based husband and wife team Claire and Daniel Kübler were easily adaptable to the cause. “We did a lot of research when we started training, going, “OK, what’s out there to actually put a bit more science behind what people do”? There’s so much data, so the more you can have, the better decisions you’re going to make”, explains Claire. “I started graphing out the data that we gathered, looking at frequency of stride to see where horses [and trip] correlate. It has actually helped to pinpoint when a horse does want a distance or it when it wants dropping back to a more speed trip. So it was really useful to help decide which way to go”. 

Horse wearing a heart rate monitor and GPS tracker.

Horse wearing a heart rate monitor and GPS tracker.

Armed with a degree in Natural Sciences from Cambridge University, Kübler realised that the concept of marginal gains (European Trainer - December 2015 - issue 52) was as relevant to the racing industry as it was to other sports. Popularised by Sir David Brailsford—the erstwhile head of British Cycling and latterly doyen of professional cycling behemoth Team Ineos (formerly Team Sky)—the theory of marginal gains states that if you break down every element you can think of that goes into the performance of an athlete, and then improve each element by 1%, you will achieve a significant aggregated increase in performance. 

“The optimum is getting 100% out of a horse. But for us, every little bit of marginal gain can hopefully get the most out of each individual”,

Artificial Intelligence (AI) may conjure images of a dystopian future, but it is already being used in technologies available to trainers in the United States and Canada. Billed as the world’s first ‘smart halter’, or headcollar, Nightwatch was developed by Texas-based Protequus to monitor horses while they are in their stables overnight. “Unlike a lot of other wearables, this technology is based on an AI platform, which means that it learns every animal’s unique physiology and looks for deviations in that physiology that correlate with pain or distress and will send a text, phone and email to you so you can intervene at the earliest signs of a possible problem”, says the company’s Founder and CEO, Jeffrey Schab. The company is aiming to make Nightwatch available to European consumers by 2020.

If the worst does happen, a host of companies are harvesting the latest tech to aid in pain management and rehabilitation. Among these is the ArcEquine, a wearable brace that delivers a microcurrent to aid in the repair of soft tissue injuries by increasing levels of Adenosine Triphosphate (ATP) within affected cells. While the benefits of water therapy and treadmills have long been recognised by trainers, the latest gadget from ECB is a smart water treadmill that essentially functions as a Fitbit for horses. Not only does it incorporate salt- and cold-water functions as well as an incline feature, the treadmill comes with a built-in computer that allows the user to set programmes for particular horses, while feeding this data back to a phone or tablet for analysis. “By playing around with speed, water depth and incline, you can target specific muscles, control the heart rate, dictate the horse’s stride length and work on the horse’s straightness,” says Richard Norden, sales and marketing manager.

Elsewhere, scientists are working on ways to help increase athletic performance even when a horse is resting. Dr Barbara Murphy, Head of Equine Science at University College Dublin, has pioneered the use of light therapy on racehorses. Her smart lighting system mimics the effects of natural daylight by exposing horses to the correct spectral intensity of light to synchronise their internal clock. This has been shown to have performance-enhancing benefits, as well as increasing reproductive efficiency in broodmares. Essentially, natural daylight has a high amount of blue, short wavelength light. This blue light targets special photoreceptors in the eye that stimulate the circadian control centre in the brain, boosting activity, metabolism and alertness. 

“When we consider that horses have evolved outdoors under natural photoperiods, they received high intensity blue-enriched light by day, then the sun goes down and they experienced un-interrupted darkness at night. These continuous fluctuating light-dark cycles maintained their strong body rhythms. In contrast, when we stable horses in a box for up to 22 hours a day, it’s really important that we give them the light stimulus that allows their body to work as best as it can,”explains Murphy. Her company, Equilume, offers stable lighting systems and futuristic-looking light masks that shine low-level blue light directly into the horse’s eye. While the importance of correct lighting is only just beginning to be understood, it should not be underestimated, according to Murphy. “We spend so much money on nutrition, training surfaces and veterinary care, [but] the single environmental cue that makes everything work in synchrony in the horse’s body is the light that they receive through their eyes. Temperature and food plays a role, but it doesn’t play as important a role as light. So by improving lighting we can ensure that horses get better value out of their feed, out of their training, out of all other aspects of their management.”

It is not only in the area of performance that technology is playing a role. Programmes such as Stable IT and Equine Medirecord help trainers achieve gains at the margins through maximising efficiency. “The last thing you want to be dealing with is paperwork”, says Pierce Dargan, founder of Equine Medirecord. “Especially paperwork that, if you get it wrong, you can get fined and end up in the papers, or even get criminally prosecuted”…

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