scholarly journals Feed, energy and protein intakes of horses - A review of Finnish feeding trials

1993 ◽  
Vol 2 (1) ◽  
pp. 15-32
Author(s):  
Markku Saastamoinen

The aim of this study was to evaluate the feed, energy and protein intakes of horses engaged in different performances by reviewing results and data concerning feed consumption in 17 feeding trials with a total 356 horses, conducted between 1972 and 1992. The dry matter intake was found to average 1.6-1.8% of body weight for working horses and pregnant mares, and 2-3.5% for lactating mares. According to the results most of the exercising horses could be fed with energy and protein amounts currently recommended for moderate work. In Standardbred trotters, the average energy intake corresponded to the current requirements for light work. The individual variation in energy consumption among horses engaged in work of the same intensity was considerable, and seemed to be larger for Finnhorses than for warmblooded horses. The establishment of new nutrient requirements and feeding recommendations separately for trotters and riding horses of these two breeds, i.e. Finnhorses and warmblooded horses, seems justified.

1982 ◽  
Vol 47 (2) ◽  
pp. 267-272 ◽  
Author(s):  
Peter Udén ◽  
Peter J. Van Soest

1. The abilities of cattle, sheep, goats, equines and rabbits to digest mature timothy (Phleum pratense) hay were compared. Apparent digestibilities were partitioned into true digestibility, metabolic faecal output (MFO) and fibre digestibility. The aim of the study was to determine the relative effects of fermentation site (among groups) and of body-weight (within groups) on the efficiency of digestion.2. The ruminants were superior to equines, which were in turn superior to rabbits, in digesting fibre components of the hay. A large individual variation in digestibility was noted only for the equines. Increasing body-weight was associated with higher digestibility in ruminants, but no such trends were seen in the non-ruminants.3. The MFO expressed as a proportion of dry matter intake gave similar values for all groups (0·085–0·118). As a proportion of available microbial substrate originating from the feed, the values were found to be 0·167 for the ruminant, 0·425 for the equines and 2·13 for the rabbits. The value for the rabbits shows that their lower tract microflora must obtain energy from non-fibre components of the feed. No appreciable digestion of the generated microbes by the host was suggested by the values obtained for the equines.


1981 ◽  
Vol 32 (2) ◽  
pp. 125-131 ◽  
Author(s):  
D. Ilan ◽  
A. Ben-Asher ◽  
Z. Holzer ◽  
Z. Nitsan ◽  
I. Nir ◽  
...  

ABSTRACTTwo feeding trials were carried out with Israeli Friesian male calves, commencing at an average age of 7 to 10 days, and covering a suckling period of 30 days followed by a further 90 days. A conventional starter, or one that contained cotton hulls, was used. In each experiment one group of 10 animals served as a control and a similar group was monensin-supplemented. No coccidia were found in the animals. In experiments 1 and 2 monensin supplementation was associated with increased daily gains of 10% and 47% during the suckling period and of 6% and 17% during the next 90 days, but only the differences obtained in experiment 2 were significant. In both experiments, dry-matter intake relative to body weight was higher with monensin supplementation in period 1, but reduced in period 2. The effect of monensin on molar proportions of acetic and propionic acids was smaller than that reported by previous authors for older cattle.A separate digestibility trial showed that monensin administered to suckling calves, either with milk replacer or directly into the rumen, improved dry-matter digestibility, increased the excretion of amylase, and tended to reduce that of trypsin and chymotrypsin.


2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 136-136
Author(s):  
Miles D Redden ◽  
Daniel W Shike ◽  
Joshua C McCann

Abstract The objective was to assess the metabolizable protein (MP) requirements of lightweight beef steers. The 2016 Beef Cattle Nutrient Requirements Model (BCNRM) prediction of MP requirements in lightweight beef steers (less than 250 kg) is limited by available performance data in beef calves. Fall born Angus × Simmental crossbred steers (n = 172; BW = 153 kg) were weaned at 70 d of age (± 26 d), backgrounded 73 d, implanted with Component TE-IS, blocked by BW as light (96–163 kg) or heavy (163–215 kg), and assigned to one of four treatments for 56 d. Treatment diets provided MP at: 0.59 (MP1), 0.69 (MP2), 0.85 (MP3), and 0.91 kg per d (MP4) based on observed DMI. Energy was similar across all treatments at 2.14 Mcal/kg ME. Shrunk body weights were collected on d 0 and 56 to estimate performance. Dry matter intake was affected (P < 0.01) by treatment and increased (linear; P < 0.01) with greater provision of MP. As a percent of shrunk body weight, DMI averaged 2.8% and tended (linear; P = 0.07) to increase with MP. Based on observed DMI, ADG for MP1, MP2, MP3, and MP4 was predicted using the BCNRM at 1.15, 1.55, 1.99, and 1.98 kg, respectively. Observed ADG increased quadratically (P = 0.01) with MP1, MP2, MP3, and MP4 gaining 1.86, 2.13, 2.3, and 2.3 kg, respectively. Final BW increased (quadratic; P = 0.02) with greater MP as MP1, MP2, MP3, and MP4 were 258, 273, 282, and 284 kg, respectively. Gain:feed increased quadratically (P = 0.04) with observed values for MP1, MP2, MP3, and MP4 being 0.323, 0.357, 0.359, and 0.360, respectively. Steer ADG response exceeded BCNRM predictions by 29%. Data suggest MP requirements of lightweight beef steers (BW = 213 kg) are 0.85 kg per d to achieve 2.3 kg ADG when fed a 2.14 Mcal/kg ME diet.


Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 104
Author(s):  
Shulin Liang ◽  
Chaoqun Wu ◽  
Wenchao Peng ◽  
Jian-Xin Liu ◽  
Hui-Zeng Sun

The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was: DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R2 = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R2 (0.22 vs. 0.07) and smaller mean bias (−0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.


2010 ◽  
Vol 39 (7) ◽  
pp. 1548-1557 ◽  
Author(s):  
Nelson Massaru Fukumoto ◽  
Julio Cesar Damasceno ◽  
Fermino Deresz ◽  
Carlos Eugênio Martins ◽  
Antônio Carlos Cóser ◽  
...  

The objective of this study was to evaluate milk yield and composition, dry matter intake, and stocking rate in pastures with tanzania grass (Panicum maximum cv. Tanzânia), star grass (Cynodon nlemfuensis cv. Estrela-Africana), and marandu grass (Brachiaria brizantha cv. Marandu). The grasses were managed in a rotational grazing system with Holstein x Zebu crossbreed cows, with a 30-day resting period and three days of paddock occupation. The pastures were fertilized with 1,000 kg/ha/year using the 20:05:20 (NPK) formula, split in three applications during the rainy season. It was used a complete random block experimental design with three factors being studied and two replications. In the experiment, four cows/paddock were used and, when it was necessary, regulator animals were added in order to obtain a supply of 7% body weight green forage dry matter. The animals were individually fed concentrate at 2 kg/day during the experimental period. Milk yield did not differ among the three grasses, with values of 9.1; 9.1; and 8.7 kg/cow/day for pastures with tanzania grass, star grass and marandu grass, respectively. Similarly, grass did not affect milk chemical composition. Stocking rate was similar among the three grasses, with values of 4.6; 4.5 and 5.0 UA/ha for tanzania grass, star grass and marandu grass, respectively. The highest dry matter intake was observed for tanzania grass with 2.6% of the body weight while stargrass (2.3%) and marandu grass (2.4%) did not differ among each other. The highest dry matter intake on tanzania grass pasture was not reflected on milk yield per animal. Milk yield and composition and stocking rate are similar among the evaluated grasses.


2015 ◽  
Vol 17 (1) ◽  
pp. 30
Author(s):  
Nurul Mukminah ◽  
Edy Rianto ◽  
Endang Purbowati

Abstract. This study was aimed to examine the excretion of urinary creatinine in young and mature Kacang goat bucks under different feeding levels. This study used 16 Kacang goat bucks consisting of 2 groups of age, i.e. eight young bucks (aged 6-7 months, weighed 12.75±2.68 kg) and 8 mature bucks (age 9-12 months, weighed 17.34±3.32 kg). The bucks were fed pelleted complete feed containing 78.82% dry matter (DM), 18.80% crude protein (CP), and 76.29% total digestible nutrients (TDN). The bucks were allocated into a 2x2 nested design with four replications. The treatment was the amount of  2.24% dry matter intake  (T1) and 4.48% of body weight (BW) (T2) for the young goat, while the mature buck was 1.87% and 3.74%, respectively. The results showed that DM, CP and TDN intake were significant different across ages and highly significantly different between feeding levels. Changes of urinary creatinine from week 0–12 showed no differences in the age group (142 mg/dl) and feeding level (143 mg/dl). Conclusively, age and feed level affected body weight, feed intake and creatinine excretion of Kacang Goat.  The more body weight gain (age) and feed level, the more urinal creatinine excretion in male Kacang goat. Key words: Kacang goat, ages, feeding level, and creatinine Abstrak. Penelitian ini bertujuan untuk mengkaji kadar kreatinin pada kambing Kacang muda dan dewasa dengan jumlah pemberian pakan yang berbeda. Materi berupa 16 ekor kambing Kacang jantan, terdiri dari 8 ekor umur muda (6-7 bulan) dan 8 ekor umur dewasa (9-12 bulan). Pakan komplit yang diberikan memiliki kandungan bahan kering (BK) 78,82%, protein kasar (PK) 18,80%, dan total digestible nutrients (TDN) 76,29%. Rancangan penelitian ini adalah pola tersarang 2x2 dengan 4 ulangan. Perlakuan pakan berupa jumlah BK pakan yang diberikan yaitu 2,24% bobot badan (BB) (T1) dan 4,48% BB (T2) untuk kambing muda, sedangkan kambing dewasa sebesar 1,87% BB (T1) dan 3,74% BB (T2). Hasil penelitian menunjukkan bahwa konsumsi BK, PK dan TDN berbeda nyata pada kelompok umur dan berbeda sangat nyata pada perlakuan pakan. Kadar kreatinin pada minggu ke 0-6 tidak berbeda nyata, namun pada minggu ke 12 berbeda nyata baik kelompok umur maupun akibat perlakuan pakan. Perubahan kadar kreatinin dari minggu ke 0-12 menunjukkan perbedaan yang tidak nyata pada kelompok umur dan perlakuan pakan. Kesimpulan dari penelitian ini adalah kadar kreatinin semakin meningkat dengan semakin meningkatnya bobot badan (umur) dan pakan ternak. Kata kunci : kambing Kacang, umur, level pakan, dan kreatinin


2013 ◽  
Vol 13 (2) ◽  
pp. 41-46 ◽  
Author(s):  
Yunasri Usman ◽  
Eka Meutia Sari ◽  
Nuzul Fadilla

The evaluation of the Aceh cattle bulls weight which compensated between forage and concentrate at Superior Livestock Place in IndrapuriABSTRACT. This research was conducted at Superior Livestock Place in Indrapuri District, Aceh Besar  which lasted for 42 days. It was started on November 28th 2012 until January 9th 2013. This research was aims to know about the average daily gain for Aceh cattle bulls which compensated between forage and concentrate by using 12 bulls aged 2-2,5 years old. The design was used a Randomized Design Groups with 4 feed treatments and 3 repetitions. The feed percentages between forage and concentrate are ration A (100% forages), B (80%)forages and 20% concentrates), C (60% forages and 40% concentrates), and D (40% forages and 60% concentrates). The research analysis data were obtained by using ANOVA (Analysis of Variance). The parameters which observed in this study was the average daily gain, consumption, conversion, and efficiency rations. The result showed that the ration dry matter intake highly significantly (P0,01) between treatment A (4,45 Kg), and B (3,61 Kg), C (2,72 Kg), and D (3,38 Kg), but the treatment B and D highly significantly than treatment C (P0,01), the best ration consumption were derived from treatment C. The body weight Kg/bull/day significantly (P0,05) between treatment A (0,47 Kg) and B (0,65 Kg), C (0,60 Kg), and D (0,61 Kg), the best average daily gain were derived from treatment B. The conversion ration showed that highly significantly (P0,01) between treatment A (9,55 Kg), and B (5,55 Kg), C (4,60 Kg), and D (5,59 Kg), the best ration conversion were derived treatment C. Similarly, the efficiency ration showed that highly significantly (P0,01) between treatment A (0,11%), and B (0,18%), C (0,22%), and D (0,18%), C is the best ration efficiency on the treatment.


2021 ◽  
Vol 43 (1) ◽  
pp. 378-384
Author(s):  
M. Baba ◽  
I. Lamir ◽  
I. Abdullahi ◽  
M. S. Sadique

The experiment was conducted at screen house of Centre for Dry land Agriculture, Bayero University Kano, in the year 2016. The objective of the study was to determine the effects of poultry manure and nitrogen rates from battery cage and deep litter systems on dry matter yield, morphological characteristics and forage quality of Columbus grass (Sorghum almum). Sorghum almum seeds were sown in 32 plastic containers (dimensions 26 cm height, 28 cm top width and 20cm base width) perforated at the bottom containing 12 kg mixture of sandy and loamy soil in ratio of 1:3. The treatments consisted of poultry manure from two production systems (Battery cage and Deep litter) and nitrogen rates (50, 60, 70 and 80 kgN/ha) in a 2x4 factorial combined in a completely randomized design. Parameters measured were dry matter yield, number of tillers and stem diameter at the late boot stage of Sorghum almum, in addition, forage quality parameters (CP, ADF NDF, digestible dry matter (DDM) dry matter intake as a percentage of body weight (DMI) and relative feud value (RFV)) were also evaluated. The results revealed no significant (p>0.05) difference between battery cage and deep litter fertilized Sorghum almum but deep litter fertilized Sorghum almum had numerically higher dry matter yield (5062.30 kg/ha) than battery cage (4400.40 kg/ha) Number of tillers and stem diameter were found to be significantly greater (p<0.05) in Deep litter (2.56 and5.70mm respectively) compared to Battery cage (1.13 and 5.08mm respectively. Both dry matter yield and stem diameter of Sorghum almum were significantly (p<0.05) highest at 80 kg N/ha. Crude protein was observed to be significant (P<0.05) in Sorghum almum fertilized with poultry manure from deep liter (11.35%) compared with buttery cage (10.05 %). The CP value was observed to increase with increased nitrogen rate with the highest value recorded at 80 kg N/ha (1.71%). Dry matter intake (us a percentage of body weight) was equally greater (p<0.05) in Sorghum album fertilized with deep litter (2.63%) compared to battery cage (2.49%). The value for NDF was significantly higher in sorghum almum fertilized with battery cage, while that of ADF was greater in deep litter it can be concluded that, Sorghum almum fertilized with manure from deep litter system produced better yield and nutritive value.


2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 478-478
Author(s):  
Matthew E Wilson ◽  
Kevin Shaffer ◽  
Shane Plum ◽  
Kevin Garossino ◽  
Nicky Lansink ◽  
...  

Abstract Technology that facilitates estimation of individual animal intake rates in group-housed settings will result in improvements in animal production and management efficiency. Estimating intake in pasture settings may benefit from models that use other variables as proxies. Relationships among dry matter intake (DMI), animal performance variables, and environmental variables to model DMI were investigated. 202 animals were studied in a drylot setting (153 bulls for 85 days and 55 steers for 55 days) using VYTELLE SENSETM In-Pen-Weighing and Feed-Intake nodes. A machine learning model was calibrated using: DMI, sex, age, full body weight, ADG, water intake, water visit frequency and duration. DMI was positively related to full body weight (r = 0.39, P &lt; 0.001), water intake (r=0.23, P &lt; 0.001), and ADG (r=0.18, P &lt; 0.001). In addition, DMI had significant but weak correlations with water visit frequency (r=0.031, P &lt; 0.001). DMI exhibited weak negative relationships with maximum air temperature (r=-0.094, P &lt; 0.001) maximum relative humidity (r=-0.056, P &lt; 0.001), net radiation (r=-0.040, P &lt; 0.001), and precipitation (r=-0.022, P &lt; 0.001). Weak positive relationships were observed between DMI and maximum wind speed (r=0.031, P &lt; 0.001) and direction (r=-0.022, P &lt; 0.001). The model was validated with resultant average RMSE of 1.06 kg for daily predicted DMI compared to measured daily DMI. In addition, when daily predicted DMI was averaged for each animal, the accuracy of model results improved with RMSE of 0.11 kg. Study results demonstrate that inclusion of water intake and animal performance variables improves predictive accuracy of DMI. Validating and refining the model used to predict DMI in drylots will facilitate future extrapolation to larger group field settings. Vytelle and its logo are trademarks of Vytelle, LLC.


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