Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in Horses

Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in Horses

Journal Pre-proof Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in Horses Tara E. Campbell, Hunter Doughty, Patric...

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Journal Pre-proof Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in Horses Tara E. Campbell, Hunter Doughty, Patricia A. Harris, Melody A. de Laat, Martin N. Sillence PII:

S0737-0806(19)30618-5

DOI:

https://doi.org/10.1016/j.jevs.2019.102869

Reference:

YJEVS 102869

To appear in:

Journal of Equine Veterinary Science

Received Date: 25 February 2019 Revised Date:

4 November 2019

Accepted Date: 16 November 2019

Please cite this article as: Campbell TE, Doughty H, Harris PA, de Laat MA, Sillence MN, Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in Horses, Journal of Equine Veterinary Science (2019), doi: https://doi.org/10.1016/j.jevs.2019.102869. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Elsevier Inc. All rights reserved.

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Factors Affecting the Rate and Measurement of Feed Intake for a Cereal-Based Meal in

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Horses

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Tara E. Campbella, Hunter Doughtya, Patricia A. Harrisb, Melody A. de Laatc, Martin N.

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Sillencec, *

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a

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NSW, Australia

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b

School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga 2650,

Equine Studies Group, WALTHAM Centre for Pet Nutrition, Waltham-on-the-Wolds,

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Leicestershire LE14 4RT, United Kingdom

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c

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Brisbane, Queensland 4001, Australia

Earth, Environmental and Biological Sciences, Queensland University of Technology,

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Animal care and welfare/ethical statement: All experimental protocols were approved by the

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Animal Care and Ethics Committee of Charles Sturt University (approval numbers: 05/035,

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05/048, 05/067).

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Conflict of interest statement: PA Harris is an employee of the WALTHAM Centre for Pet

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Nutrition who funded this project. PA Harris had a role in the study design, interpretation of

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the data and in the decision to submit the article for publication.

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*Corresponding author at: Martin N. Sillence, Earth, Environmental and Biological Sciences

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School, Science and Engineering Faculty, Queensland University of Technology,

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2 George Street, GPO Box 2434,Brisbane, Qld 4001, Australia.

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E-mail address: [email protected] (M.N. Sillence).

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Abstract

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The rapid intake of high-cereal, low-roughage meals may cause gastrointestinal and

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behavioural disorders. We investigated some of the factors that can affect the rate of intake

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(ROI) in four separate studies. Study 1 investigated the effect of chaff length and addition

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rate on the ROI of oats. The ROI decreased as more chaff was added to the diet, attaining

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significance (P < .05, n = 6) at levels above 15% addition and reaching a plateau at ~50%.

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This was independent of stalk length (1.4 cm vs 4.1 cm). Study 2 showed that meal size

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(varying from 0.5 to 4 g/kg BW) did not affect the ROI for a cereal-based meal, nor was ROI

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altered by the addition of 10% molasses (n = 6). Study 3 demonstrated that ROI changed

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markedly over the course of a meal, commencing at an average rate of 74 g/min for the first

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5 min and decreasing to 15.8 g/min after 30 min (n = 6). Study 4 examined the effects of

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breed, BW, exercise and gender in 71 horses. In Clydesdales, BW affected ROI (P < .05), and

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Clydesdales had a faster ROI than Thoroughbreds of similar BW (81.8 ± 6.8 versus 66.0 ±

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3.35 g/min; P < .05). Exercise level, age and gender did not impact ROI significantly. The

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results highlight the effectiveness of feeding chaff to slow ROI and demonstrate the need for

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a standardised protocol if ROI is to be compared between different studies.

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Keywords: equine; starch; roughage; nutrition; concentrates

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1. Introduction As a foraging species, horses have evolved to eat small amounts of fibre-based feeds

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virtually continuously, grazing for up to 70% of each 24 h period [1,2]. Selective grazing

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ensures a well-balanced herbivorous diet that promotes optimal digestion by the

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gastrointestinal tract (GIT) [2,3]. Although some modern forages can exceed nutritional

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requirements for horses in light work, when energy demands are high, it is common to either

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supplement or replace the free-ranging, predominantly forage-based diet with high-energy

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rations, fed at infrequent intervals to horses confined to small paddocks or stables. This

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practice typically employs cereal grain or cereal-based feeds that contain energy in a

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concentrated form [4,5].

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Unfortunately, such cereal-based diets can predispose horses to metabolic,

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gastrointestinal and behavioural problems, such as obesity, gastric ulceration, colic and

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stereotypies [6-10]. In general, cereal-based rations require less chewing effort than long

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fibre, resulting in less saliva production, and an increased risk of lateral hook development on

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the dental arcade. They are also ingested more quickly (higher rate of intake: ROI) than meals

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based on long fibre such as hay. When large meals of either pellets or cereal grains are fed

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infrequently, a transient state of hypovolaemia occurs as a result of upper gastrointestinal

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secretions. The loss in plasma volume that occurs in ponies within 1 h of feeding has been

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shown to be 15% on average, and up to 24% in quick or greedy feeders [11].

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For a horse ration to be safe, there is an upper limit to how much starch it should

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contain and a lower limit to its roughage content [7,12]. Excessive dietary starch can

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predispose a horse to insulin resistance (IR) and hyperinsulinaemic laminitis, as well as

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increasing the risk of gastrointestinal ulcers [9,13,14]. Furthermore, an elevated ROI may

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lead to insufficient insalivation and mastication of the food, choke, and an alteration in the

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rate of passage (ROP) of digesta through the GIT [15]. It is the decreased pre-caecal digestion

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which may lead to acidosis, colic and alimentary-associated laminitis [14,16].

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Therefore, controlling the ROI of cereal-based feeds is highly desirable. In addition to

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diet composition, many other factors may affect the ROI of a meal in horses, including grain

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processing methods, roughage particle size, frequency and size of meals, palatability,

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moisture content, exercise level, sex, age, bodyweight, breed and occlusal surface

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area/dentition [18]. Previous studies have examined some of these factors with variable

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results [18-22]. However, most literature agrees that the inclusion of chopped roughage

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(chaff) to a cereal-based meal is an important factor in decreasing ROI. This was reflected in

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a survey of Australian racehorse trainers, which found that more than 95% of trainers added

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chaff to cereal diets to decrease ROI [23].

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Studies on the effect of the physical form of chopped roughage added to equine diets

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are conflicting, and this topic requires further investigation [22,24,25]. Of particular interest

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is the observation that longer stalk-length (~4 cm) chaff is typically fed in Europe than in

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Australia (~2 cm). Historically, the feeding of very short chaff in Germany was viewed as a

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serious risk factor for impaction, and roughage with a longer stalk-length has been associated

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with decreased ROI [24].

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Initially, the sole aim of this study was to examine the effect of roughage inclusion on

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the ROI of a cereal-based meal, with respect to addition rate and stalk length. However, when

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comparing our results with earlier reports [26,27] it was clear that we were working from a

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different baseline i.e. the ROI for cereal alone observed in our study was much lower than

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that reported in those earlier studies. Therefore, we pursued the additional aim of identifying

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the factors that can affect ROI other than the meal composition, and of developing a

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standardised methodology that would control for these factors. The study was expanded to

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test the hypotheses that ROI is also dependent on meal size, palatability, observation period,

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exercise, age, gender, breed and bodyweight. Our ultimate aim was to better understand the

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variables that affect ROI, in order to inform safer feeding practices, facilitate future studies

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and promote consistent methodologies.

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2. Materials and methods Four studies were performed and all experimental protocols were approved by the

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Animal Care and Ethics Committee of Charles Sturt University (approval numbers: 05/035,

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05/048, 05/067).

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2.1 Animals The characteristics of the animals used in studies one to three are presented in Table

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1. The horses were all geldings, drawn from a group of twelve horses belonging to the Equine

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Centre at Charles Sturt University, Wagga Wagga NSW. The horses had been housed in

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stables or yards for several weeks prior to the studies, and were all accustomed to being fed

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oats from time to time.

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All the horses were examined by a veterinarian and treated by an equine dental

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technician to ensure good general and oral health prior to the studies. They were also treated

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with an anthelmintic drench (200 µg/kg BW; MecWorma, Farnam, Phoenix AZ) at least 8

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days before any feeding observations were made. The horses were stabled individually (4 m x

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4 m) on 30 cm deep sawdust bedding at Charles Sturt University Equine Centre. In the first

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three studies all horses were exercised for 1 h/day every day, at a continuous walk on a

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mechanical horse walker (Irongate, Netley SA, Australia).

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In Study four, a population survey of 71 horses of mixed sex and breed (Table 3)

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from the Riverina district of NSW, was conducted to examine factors affecting the ROI of a

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standardised meal of 1 kg oats. Informed consent for the survey was provided by all owners

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at an initial visit undertaken to assess the horses and facilities. To avoid neophobic behaviour,

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horses were only enrolled in the survey if they had received oats previously. Observations

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were performed during a subsequent visit. The horses were weighed using a calibrated

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portable scale suitable for use in horses (Ezy-weigh, Darwin NT, Australia), and owners were

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asked to complete a questionnaire to provide information about the breed, gender, age,

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exercise intensity, current diet, history of feed-related digestive disorders and any stereotypic

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behaviours of their horse.

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2.2 Study Design

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The design of each study is described in Table 1.

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2.2.1 Study One

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Study one aimed to determine the relationship between the addition rate of chaff to a

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cereal-based feed and the ROI of that feed; and to measure any difference in ROI between the

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addition of short (1.43 ± 0.09 cm) chaff and longer (4.09 ± 0.14 cm) chaff cut from the same

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batch of straw. The horses were acclimatised to a daily feeding routine: cereal-based meals

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were fed at 0900 hours and 1400 hours; hay plus a vitamin and mineral supplement (50

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g/day; Hoss-Amin-R, Troy Laboratories, Glendenning NSW, Australia) were fed at 1700

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hours.

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The cereal-based meal contained whole, unprocessed oats obtained from a single

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batch. During the acclimatisation/adaptation period, the quantity of oats fed was increased

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incrementally from 0.5 g/kg BW to 3 g/kg BW (as fed) per meal over six days. Once this

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level of oats was reached, this was maintained for a further 2 days to bring the adaptation

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period to a total of 8 days. During this phase, the cereal-based meals included an equal

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quantity of short and long wheaten chaff fed at 1.8 g/kg BW (as fed). Although oats and chaff

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are sometimes wetted to reduce the risk of choke, in the present study they were fed dry, in

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line with the prevailing practice at this equine centre. Not wetting the feed also eliminated a

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potential source of variation.

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The 1700 hours meal consisted entirely of ryegrass clover hay given at a level that

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provided the balance of each individual’s maintenance digestible energy (DE) requirements,

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as calculated using published estimates of DE and DM for the relevant feedstuffs [28]. The

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ryegrass clover hay also provided a minimum forage intake of approximately 1% BW/day.

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The feed was presented in feed troughs fabricated from inverted car tyres, measuring

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approximately 66 cm in diameter and 22 cm in height. Water intake was unrestricted, with

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tap water supplied in large buckets.

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During the 22 day experimental phase, 11 different diets were fed in random order.

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Each treatment was repeated four times for each horse as two meals per day for two

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consecutive days. The cereal-based meals consisted of oats (3 g/kg BW, as fed), with either

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short chaff (1.43 ± 0.09 cm) or longer chaff (4.09 ± 0.14 cm) at addition rates of 0, 7.5, 15,

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30, 50 or 60 % by mass (i.e. the 50% diet contained 3g/kg BW oats plus 1.5 g/kg BW chaff,

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as fed). The chaff was cut by a local supplier according to specifications and the average

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chaff length was verified by using a rule to measure the length of 100 individual pieces of

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chaff chosen at random from batches of both short and long chaff.

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To enable the collection of spillages and feed refusals, the horses were fed in an

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adjoining stable with a bare concrete floor. To reduce anxiety, feeders were secured at the

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mid-point of a wall that was not common to another horse, although all horses were visible to

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each other. To limit disturbances during feeding, observations were made in a central

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observation room via remote TV monitors connected to video cameras (VideoHi8 Handycam,

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Sony Australia, North Sydney NSW, Australia) with wide angle lenses, mounted on the

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stable rafters. Horses were monitored repeatedly to determine if they were feeding or not.

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Observations were made every 5 min for the first 30 min, then every 2 min until the meal was

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consumed, or they refrained from eating, or were recorded as not moving for longer than 2

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consecutive min. Any feed refusals were collected and weighed at the end of the total

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observation period. To determine the ROI (g/min), the weight of feed eaten was divided by

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the time taken to consume the meal

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2.2.2 Study Two

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Because the results of Study one showed a lower ROI overall than that seen in

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previously published work, we examined several factors that might have contributed to this.

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Specifically, in Study two we used a different group of horses and examined the effect of

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meal size and palatability on ROI. The horses were acclimatised to the daily feeding routine

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for a total of 10 days (oats at 1000 hours and hay at 0600 hours, 1200 hours and 1700 hours).

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The amount of oats fed was increased incrementally over the first 8 days from 0.5 g/kg BW

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up to 4 g/kg BW (as fed), and once this level of oats was reached it was maintained for a

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further 2 days. Lucerne hay was fed in equally divided portions to provide the balance of

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individual DE requirements for maintenance (as estimated from published values [28]) and/or

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at least 1% BW/day forage intake as fed. Water intake and vitamin and mineral

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supplementation were provided as for Study one.

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During the next 14 days, seven different rations were fed twice to each horse in a

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random order: oats at 0.5, 1, 2, 3 or 4 g/kg BW as fed; oats at 4g/kg BW as fed plus 10%

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molasses; or no oats, but lucerne hay (~2 kg/horse as fed) at a mass equivalent to 4g/kg BW

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oats. To maintain a consistent diet, all horses received a total of 4 g/kg BW (as fed) of oats

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daily, with the balance fed at 1700 hours with their hay meal.

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2.2.3 Study Three Study three examined another factor with a potential impact on the observed ROI,

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which was the change in ROI over the 30 min duration of a meal. The feeding regimen was

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the same as that described in Study two. A standard meal of oats (2 kg) was fed, with uneaten

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feed removed and weighed, at one of five different time-points following meal

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commencement (5, 10, 15, 20 and 30 min). Each observational period (time-point) was

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replicated twice for each horse over two consecutive days. The five observational periods

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were applied to the horses in a random order. The entire study lasted 10 days and comprised

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30 observations.

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Apart from the procedures listed above, the same feeding conditions and procedures,

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including remote monitoring by video camera, were applied as described in Study one.

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Horses were fasted between 0800 hours and the 1000 hours meal (i.e. any long fibre was

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removed from the stall – as well as any uneaten oats). The horses were monitored every

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minute of the observation period. To ensure a consistent daily intake of oats and prevent

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artificial increases in ROI related to anxiety about feed removal, the uneaten portions of feed

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were returned to each horse once weighed.

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2.2.4 Study Four Having developed a standard 10 min protocol to measure ROI, in Study four we

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applied this to protocol to a larger group of horses to determine the size and possible sources

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of variability within a population. In Study four, each horse was fasted for 1 h prior to a

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cereal meal of 1 kg of oats (as fed) being offered at their usual cereal meal time. All horses

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had free access to water. The horses were monitored continuously for 10 min following

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commencement of eating. After 10 min any remaining feed was removed and weighed and

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ROI was calculated for each horse.

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2.3 Statistical Analysis As the data were distributed normally (Shapiro-Wilk test), parametric tests were used

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for their analysis. Due to the complexity of the experimental design, a step-wise approach

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was taken. For the measurements that were replicated on each animal, paired Student’s t-tests

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were used to compare the ROI between morning and afternoon meals, and meals fed on

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consecutive days. As no significant differences were found, these data were pooled and a

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mean value was generated for each horse on each diet.

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In Study one, the effects of chaff length and the five chaff addition rates were

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analysed as a factorial design by ANOVA, with effects sought for addition rate, chaff length,

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and any rate x length interaction. Polynomial regression was used to model the relationship

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between ROI and chaff addition rate; linear, quadratic and cubic models were fitted to the

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data and compared using contrasts. Finally, to identify the level at which chaff addition

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altered the ROI significantly, each addition rate was compared to a control diet containing no

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chaff, using Dunnett’s test.

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A similar approach was taken to analyse the data from studies two and three, which

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examined meal size and pattern of intake. After determining that there was no difference

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between replicates the mean observations for each horse were compared using ANOVA for

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repeated measures. For Study two the repeated variable was the quantity of oats given (the

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diets containing oats plus molasses, or lucerne hay only, were analysed separately by

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comparing them to each other, and to the oats-only diet, using Student’s paired t-test); for

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Study 3 the repeated variable was time. Linear regression was used to describe the

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relationship between the pattern of intake and ROI (Study three).

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In Study four, the effects of breed, BW, age, gender and exercise on ROI were sought

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initially by one-way ANOVA, followed by stepwise regression. Significant effects were

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found for breed and BW, but these variables were confounded. Thus, the ANOVA was

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repeated to explore breed effect in a subgroup of the population with a similar bodyweight.

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Post-hoc analyses were performed with Tukey’s test. To further explore the effect of BW

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without the confounding breed factor, linear regression of BW versus ROI was performed

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within each breed as well as within the entire population. All parametric tests incorporated a

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confirmatory test for normality of the data distribution and homogeneity of the variances. The

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data were analysed with SAS software and significance was accepted at P < .05. Results are

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expressed as mean ± se.

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3. Results

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3.1 Study 1

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The ROI for the same cereal meal did not differ between morning and afternoon

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meals, nor on consecutive days. Cereal ROI was markedly faster than the ROI for a similar

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quantity of hay (Fig. 1), but decreased as chaff addition increased (P < .05; Fig. 1). The

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relation between ROI and the rate of chaff addition was broadly linear (r2 = 0.67, P < 0.001;

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ROI = 47.5 – (0.29 + chaff addition %), up to addition rates of 50%, but ROI did not decrease

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further when 60% chaff was added. When compared to an oats-only control meal, the

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addition of 15% chaff or more was required before the decrease in ROI reached statistical

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significance. There was neither a significant effect of chaff length on ROI, nor any interaction

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between chaff length and addition rate (Fig. 1).

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3.2 Study 2 The ROI for a cereal meal was independent of meal size (39.8 ± 3.26 g/min for ~ 250

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g oats vs. 39.1 ± 3.42 g/min for ~ 2 kg oats) and did not change significantly following the

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addition of 10% molasses (43.6 ± 5.36 g/min; P = .27), although with or without molasses,

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the oats were consumed faster than 2 kg of lucerne hay (23.9 ± 3.65 g/min; P < .01).

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3.3 Study 3 The ROI showed marked variability between horses for the first 5 min of feeding, but

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the variability was lower and was reasonably constant thereafter (Table 2). However, the

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average ROI was not constant over the 30 min period, but decreased steadily over the course

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of a meal.

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A plot of cumulative intake is shown in Fig. 2. The average ROI declined over the

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observation period, from 73.7 g/min at 5 min, to 47.8 g/min after 30 min (Table 3, P < .05).

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However, when calculated for each time-point after adjusting for the average amount eaten

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by that horse in the previous 5 min period, the actual ROI was found to decrease more

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sharply, following a linear pattern (P = 0.05) as represented by the equation: ROI at time t =

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77.9 – (2.07t). Thus, the actual ROI would have been approximately 77.9 g/min at time 0,

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decreasing at a rate of 2.07 g/min, to reach only 15.8 g/min after 30 min.

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This marked change in ROI over time highlighted the need to adopt a standardised

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measurement time to enable comparisons of ROI from different studies. Based on the actual

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ROI and on degree of variability seen at each time point, 10 min was selected as the preferred

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standard measurement time for use in Study four.

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3.4 Study 4 No effect of exercise, age or gender on ROI was found (Table 3). There was a

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significant effect of BW (P < .05) and breed (P < .05) on the ROI, but there was no BW x

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breed interaction. Clydesdales (CY) had a faster ROI than both TB and SB (P < .05; Table 3).

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Between breed subpopulations of a similar BW, a breed difference was observed between the

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CY and TB groups (P < .05; Table 4). Overall, BW had a positive linear relationship (r2 =

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0.56; P < .05) to ROI (Fig. 3) and this effect was also seen within the CY breed, but not with

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the TB or SB breeds which fell into a narrower weight range.

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4. Discussion

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The ROI of a cereal-based meal was seen to be considerably faster than a roughage-

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only meal of the same mass, and this finding is in agreement with prior studies [24,25].

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Furthermore, the addition of chaff to a cereal meal slowed ROI incrementally up to an

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addition rate of about 50%, with a minimum of 15% roughage required to decrease ROI

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significantly. These findings are consistent with our previous observations that the addition of

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6% chaff to a cereal mix did not alter ROI significantly, whereas an apparent decrease in ROI

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(when measured as volume, but not mass) was seen when 36% chaff was added to either oats

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or a sweet feed mix [28]. They are also comparable to a report by Ellis et al. [27] who

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showed that including chaff at a rate of 30% or more can lead to longer and slower eating

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periods, with a concomitant increase in chewing. Overall, this information should assist

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horse owners and trainers to optimise roughage addition rates in order to control the ROI of

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cereal-based diets.

326 327

The present findings were applicable irrespective of meal time, as ROI did not vary

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between meals in this controlled study. However, under natural housing conditions ROI may

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well alter between meals if the meals are unevenly spaced, or if cereal meals are preceded by

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a large hay meal, for example. Similarly, more vigorous exercise would likely influence ROI

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at a given mealtime.

332 333

The fact that the longer stalk-length chaff did not decrease ROI when compared to

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shorter chaff may have been affected by the relatively small difference in stalk-length (~2.7

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cm). The lengths selected (<2 cm vs. 4 cm) were representative of the average difference

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between Australian and European chaff. Un-cut hay has been associated with a slower ROI

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compared with cut hay, and it is possible that feeding chaff with a longer stalk-length (> 4

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cm) may decrease ROI [24]. Further studies to investigate this theory are needed. A possible

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confounding factor in the current study was the fact that the longer chaff was ground,

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whereas the short chaff was chopped. Grinding would have affected the width, thickness,

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density and weight of the longer chaff, and these factors may work together with length to

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alter masticatory requirements, thereby affecting our ability to detect a change in ROI.

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However, no significant differences were found in ROI between short and long chaff in a

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previous study where both chaffs were chopped [27], or in a study comparing long-stemmed

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and cut haylage [22]. This suggests that factors other than stalk-length, such as feeding a

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heterogeneous diet, are more important in influencing ROI [24].

347 348

At about 40 g/min, the ROI of a cereal meal in the current study was considerably

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slower than that of up to 129 g/min reported in a similar study where a 2 kg meal of oats,

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maize and soybean meal was fed to horses undergoing light exercise [26]. Other studies

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conducted in Europe have also reported relatively fast ROI [27]. This difference may be

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related to the fact that the horses in the current study were only acclimatised to the stabled

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environment for 8 to 10 days, whereas horses in other studies might have been permanently

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stabled, impacting on their behaviour. Different ROI might also be related to differences in

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exercise intensity between different studies. Although the survey component of the current

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study found that exercise did not appear to affect ROI, the difference in exercise regimes in

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the surveyed horses was large. Furthermore, the survey data were limited by being

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qualitative, nominal and subjective. Controlled experiments using quantitative parameters

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and a standardised exercise test are recommended to further explore the effect of exercise on

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ROI, particularly in light of the potential impact of long-term stabling on ROI.

361 362

Molasses is sometimes added to feed to improve palatability, but in the present study

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10% molasses did not increase the ROI of oats significantly. This suggests that the oats were

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already palatable, and that palatability was not a major factor in accounting for the relatively

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slow ROI observed, as discussed above. The addition of molasses would have also increased

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the moisture content of the meal slightly - a factor which has been shown to increase ROI in

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both sheep and cattle [30,31]. Therefore, either moisture content was not an important factor

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in the present study, or the molasses had only a small effect on this variable and higher

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moisture levels are needed before this becomes significant. Further studies would be

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necessary to investigate this.

371 372

There appears to be little data on the impact of meal size on ROI in horses. One study

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did show a higher ROI when smaller vs larger quantities of a pelleted mixed-feed were

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offered, provided the pellets were small (5 mm diameter), with less of an effect seen when the

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pellets were larger in size [32]. Other studies on voluntary feeding in humans and production

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animals have shown that food consumption is affected by satiety, ambient temperature and

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body condition [33]. Meal size did not affect ROI in the current study where these factors

378

were kept constant. This finding suggests that the provision of smaller, more frequent meals

379

in an attempt to emulate foraging behaviour is unlikely to affect ROI. Horses may self-

380

regulate their intake irrespective of meal size, and investigation of this theory is

381

recommended.

382 383

One of the most significant factors affecting ROI was the duration of the meal or

384

observation period. For a cereal-based meal, the ROI was found to be fastest at the start of a

385

meal and this may be related to hunger, behavioural effects, or insalivation of the food. The

386

initial 15 min period may represent a danger zone for the development of digestive problems

387

and could be targeted by owners and trainers. Strategies to decrease ROI during this period

388

could include feeding long stemmed roughage prior to a cereal meal to reduce hunger levels

389

and place roughage in the GIT of the horse [34]. Secondly, horses could be separated during

390

feeding to reduce the effect of competition and/or hierarchy on ROI. The ROI during the

391

initial 5 min period of cereal meal consumption was highly variable and this was largely due

392

to behavioural effects (pacing, head tossing) during this time. This needs to be taken into

393

account when attempting to measure ROI during this initial feeding period. A time-point of

16

394

10 min post-commencement of the meal was found to be the most stable time for measuring

395

ROI, and this finding could guide future studies on ROI.

396 397

The finding that larger horses eat more quickly than smaller horses concurs with

398

previous studies and is likely to be related to occlusal surface area and chewing rate [35,36].

399

The larger head of the CY when compared to smaller breeds (e.g. TB) is likely to enable

400

larger amounts of feed to be consumed with each mouthful and account for this disparity. The

401

effect of breed may also depend on the type of meal, as it has been reported in a comparison

402

of ponies and warmblood horses, that breed differences were seen using a fibre-rich pelleted

403

mixed feed, but not with a muesli or crushed grain feed [25].

404 405

It appears that bodyweight also has an impact on ROI, with the failure to detect BW

406

differences within the TB and SB groups likely to be related to the narrow bodyweight range

407

found in these groups. This finding may be important for the dietary management of obese

408

horses that are predisposed to IR, where careful control of nutrition is paramount to reducing

409

bodyweight and preventing laminitis. The current results also suggest that both breed and BW

410

should be controlled for in future ROI studies. Comparison between horses and ponies ROI

411

was not made in this study but justifies further investigation given that ponies may have the

412

capacity for a higher daily dry matter intake than horses reflecting either longer time spent

413

ingesting feed or a higher ROI.

414 415

Although gender did not impact on the ROI of a cereal meal in the current study,

416

further in-depth studies on the effect of gender on ROI are required. Nutritional requirements

417

between geldings and breeding stallions or dry and lactating mares vary, and an investigation

418

of the effect this may have on ROI is warranted. Surprisingly, age also does not appear to

17

419

impact on ROI. Younger horses could be expected to have higher energy requirements,

420

superior dentition and a more competitive nature, but this does not appear to increase ROI

421

when compared to sexually mature and older horses. Fortunately, considering that age and

422

gender are among the more difficult factors for horse owners to control, the findings of the

423

current study suggest that they appear to have little impact of the ROI of cereal meals.

424 425

5. Conclusions

426

The results of the current study support the hypotheses that roughage is consumed

427

more slowly than cereal-based feed and that the addition of chopped roughage to a cereal

428

meal decreases the ROI of that meal, with addition rates of 15% to 50% roughage shown to

429

be effective. These data can be used by horse owners and trainers to control the ROI of

430

cereals, thereby decreasing the ROP of ingesta, leading to improved GIT health and

431

potentially, behaviour. Current data suggest that chaff with stalk-lengths between 2 cm and 4

432

cm will be equally effective at reducing the ROI when added to cereal-based meals, however

433

further study is required to investigate the impact of longer stalk-lengths (> 4cm) on ROI.

434

Meal size, palatability, age and gender do not appear to affect ROI and this finding allows

435

owners to focus on managing other factors, such as BW. Strategies to reduce ROI of cereal

436

meals have been suggested and these may be of particular benefit in the initial 15 min period

437

of eating when the ROI is highest.

438 439

Acknowledgements

440

This study was funded by The Waltham Centre for Pet Nutrition and Charles Sturt

441

University. Both sponsors were involved in the experimental design and interpretation of the

442

results.

443

18

444 445

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of short (<2cm) lucerne chaff addition on the intake rate and glycaemic response of a sweet

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feed. Pferdeheilkunde 2005; 21: 88-89.

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dairy cows. Grass and Forage Sci 1998; 53: 41-46.

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matter content and particle length of forage. Aust J Agric Res 1984; 35: 831-838.

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horses during the intake of variable quantities of two pelleted compound feeds differing in

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[33] Gaughan JB, Mader TL, Holt SM. Cooling and feeding strategies to reduce heat load of

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grain-fed beef cattle in intensive housing. Livestock Sci 2008; 113: 226-233.

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[34] Vervuert I, Voigt K, Hollands T, Cuddeford D, Coenen M. The effect of mixing and

531

changing the order of feeding oats and chopped alfalfa to horses on: glycaemic and

532

insulinaemic responses, and breath hydrogen and methane production. J Anim Physiol Anim

533

Nutr 2009; 93: 631-638.

534

[35] Fleurance G, Fritz H, Duncan P, Gordon IJ, Edouard N, Vial C. Instantaneous intake rate

535

in horses of different body sizes: Influence of sward biomass and fibrousness. App Anim

536

Behav Sci 2009; 117: 84-92.

537

[36] Stover KK, Williams SH. Intraspecific scaling of chewing cycle duration in three species

538

of domestic ungulates. J Exp Biol 2011; 214: 104-112.

539 540 541 542

22

543

Figure captions

544

Fig. 1. The effect of adding wheaten chaff at various addition rates and with long (4.1 cm, ●)

545

or short (1.4 cm, ○) stalk-length, on the mean (± se) rate of intake of oats (3 g/kg BW) in

546

horses (n = 6). The horizontal line represents the average rate of intake for a 2 kg meal of

547

hay.

548 549

Fig. 2. Mean (± se) cumulative feed intake over 30 min in six Thoroughbred horses presented

550

with a 2 kg meal of oats.

551 552

Fig. 3. The rate of cereal intake measured over a 10 min period in Clydesdale (○, n = 28),

553

Thoroughbred (●, n = 34) and Standardbred (∆, n = 9) horses, presented with a 1 kg meal of

554

oats. The straight line represents a first order regression fitted to the data.

23

555 556

Table 1 Subjects and experimental design for three studies to examine factors that influence the rate of intake of a cereal-based meal. Study 1

Study 2

Study 3

Study 4

6 geldings

6 geldings

6 geldings

36 geldings, 35 mares

Breeds

5 Thoroughbreds 1 Standardbred

6 Thoroughbreds

6 Thoroughbreds

34 Thoroughbreds 28 Clydesdales 9 Standardbreds

Mean BW (± se), kg

479 ± 5.33

489 ± 27.4

489 ± 27.4

603 ± 22

Mean age (± se), years

7 ± 0.93

7.8 ± 1.6

7.8 ± 1.6

See Table 2

Balanced 2 x 6 factorial1

Randomized factorial2

Repeated measures3.

Multivariable population study

Dependent variable

Rate of intake

Rate of intake

Rate of intake

Rate of intake

Fixed effects

Chaff length (x 2) Addition rate (x 5) Feeding time Replicate number

Dietary component ( x 3) Level of component (x 6)

Time allowed to feed

Random effects

Horse

Replicate number Horse

Replicate number Horse

Horses Sex

Experiment Design

557 558 559

1

Age, breed, gender, exercise level

Order of presentation of each diet (treatment combination) assigned at random; each diet replicated four times over two consecutive days and the replicate observations were pooled.

560 561 562 563

2

Three dietary components; one component fed at five levels; seven treatments in total. Order of treatments for each subject assigned at random; each treatment replicated twice over two consecutive days; 3 Each observation was replicated twice over two consecutive days and the replicates were pooled. Time was used as the repeated factor in the analysis.

2

564

Table 2

565

Mean (± se) rate of intake (ROI) of a 2 kg meal of oats measured in six geldings at five time

566

intervals after feeding, showing a significant reduction in ROI over time (P < 0.05). Time after feeding, min ROI, g/min

567 568

5

10

15

20

30

73.7 ± 13.4

66.2 ± 7.5

63.8 ± 6.3

57.7 ± 8.7

48.0 ± 5.7

569

Table 3

570

Mean (± se) rate of intake (ROI) of a 1 kg meal of oats in Clydesdale, Thoroughbred and

571

Standardbred horses surveyed in the Riverina district of NSW, Australia

572 Item

ROI (g/min)

n

P-value

All horses

78.9 ± 2.85

71

-

Clydesdale

99.3 ± 3.35a

28

< 0.05

Thoroughbred

66.8 ± 2.94b

34

Standardbred

60.9 ± 6.07b

9

Yes

74.7 ± 4.24

27

No

81.4 ± 3.77

44

1–2

74.8 ± 4.27

21

3–8

77.9 ± 4.82

28

9+

83.9 ± 5.54

22

Female

80.7 ± 4.21

35

Male

77.1 ± 3.88

36

Breed

Exercise 0.25

Age (years) 0.45

Gender

573 574

ab

0.53

Means with different superscripts differ (P < .05, Tukey’s test)

2

575 576

Table 4

577

The effect of breed on rate of intake (mean ± se) in a subpopulation of heavy and light horses

578

matched for bodyweight (mean (range)).

579 Breed

Body weight

Rate of intake

n

(kg)

(g/min)

Clydesdale

533 (452-639)

81.8 ± 6.80

8

Thoroughbred

542 (442-640)

66.0 ± 3.35

24

Thoroughbred

433 (410-480)

71.0 ± 2.40

14

Standardbred

451 (403-476)

61.9 ± 6.10

9

Effect of breed (P-value)

Heavier .03

Lighter

3

.08

Declaration of interest statement Professor Pat Harris is an employee of The WALTHAM Centre for Per Nutrition who funded this study. Prof Harris had a role in the study design, interpretation of the data, revising the manuscript and the decision to submit the article for publication.

All experimental protocols were approved by the Animal Care and Ethics Committee of Charles Sturt University (approval numbers: 05/035, 05/048, 05/067).