Energy relations in cattle can be quantified using open-circuit gas-quantification systems

2018 ◽  
Vol 58 (10) ◽  
pp. 1807 ◽  
Author(s):  
M. Caetano ◽  
M. J. Wilkes ◽  
W. S. Pitchford ◽  
S. J. Lee ◽  
P. I. Hynd
Keyword(s):  
Carbon Dioxide ◽  
Energy Intake ◽  
Heat Production ◽  
Open Circuit ◽  
Total Carbon ◽  
Gas Emissions ◽  
Co2 Output ◽  
Wide Range ◽  
Metabolisable Energy ◽  
Energy Relations

This study was conducted to evaluate the relationships between metabolisable energy (ME) intake and outputs of methane (CH4), rumen-derived carbon dioxide (rCO2), lung-derived carbon dioxide (lCO2), and total carbon dioxide output (tCO2) measured using an open-circuit gas-quantification system (GQS). Three trials were conducted to produce a wide range of energy intake and gas emissions to allow relationships between gas outputs and ME intake to be quantified. Gas emissions and ME intake were measured in eight Angus steers (455 ± 24.6 kg initial bodyweight; Trials 1 and 2), and in eight pregnant Angus heifers (503 ± 22.0 kg initial bodyweight; 5 months pregnant; Trial 3). Animals were fed twice daily to allow ad libitum intake in Trial 1, whereas in Trials 2 and 3, feed intake was restricted and energy density was varied to provide a wide range of ME intakes. Animals were allocated to individual pens during a 20-, 19- and 15-day experimental periods, and total faecal output was measured for the last 8, 4 and 4 days in Trials 1, 2 and 3 respectively. Gas emissions were measured for 16, 8 and 8 days after the adaptation period (4, 11 and 7 days) and each animal was allowed to visit the GQS every 2 h. Total CO2 in breath (tCO2) was separated into CO2 arising from rumen fermentation (rCO2) and CO2 in expired air from the lungs (lCO2) by manually identifying the eructations from normal breaths using the GQS gas-output trace. All CO2 outputs (lCO2, rCO2 and tCO2) were highly correlated with each other (r = 0.74–0.99; P < 0.01). Measurement of CO2 output was more repeatable with fewer days of measurement than was CH4 output. Metabolisable-energy intake was closely related to all three measures of CO2 output (rCO2, r = 0.69, P < 0.001; lCO2, r = 0.70, P < 0.001; and tCO2, r = 0.73, P < 0.001). Heat production was estimated from lCO2 output by assuming a value of 0.85 for the respiratory quotient of metabolised products. The heat production estimated at the extrapolated zero ME intake (0.52 MJ/kg0.75) was 60% higher than previous estimates of fasting heat production in cattle. However, our estimate was made under non-fasting, non-sedentary, non-thermoneutral conditions, so it may be a realistic estimate of maintenance energy requirement excluding heat increment of feeding. In conclusion, the open-circuit GQS can be used to provide estimates of the ME intake and heat production of cattle, and, as such, provides a valuable opportunity to describe the energy relations and efficiency of beef cattle in the field, with minimal interference to normal grazing patterns and behaviour.

Effect of confinement in a respiration chamber and changes in temperature and plane of nutrition on heat production of 25 kg pigs

1980 ◽  
Vol 95 (1) ◽  
pp. 123-133 ◽  
Author(s):  
R. Gray ◽  
K. J. McCracken
Keyword(s):  
Carbon Dioxide ◽  
Energy Intake ◽  
Heat Production ◽  
Environmental Temperature ◽  
Normal Range ◽  
Respiration Chamber ◽  
The Third ◽  
Lower Critical Temperature ◽  
The Mean ◽  
Range Of Variation

SummaryA closed-circuit respiration chamber was used to study (a) the effect of confinement in a chamber on the heat production of pigs already accustomed to restraint in a metabolism cage; (b) changes in daily heat production of pigs following a reduction in the energy intake; and (c) the effect of increasing or decreasing the environmental temperature.An automatically recharged version of the oxygen burette used by Waring & Brown (1965) is described. During tests of the chamber and burette system the mean recoveries of carbon dioxide and oxygen were, respectively, 0·994 and 0·995.It is concluded that measurements of heat production on the first day of confinement were within the normal range of variation and provided valid estimates of energy expenditure.The minimum value for the respiratory quotient (RQ) occurred on the third day following a reduction in energy intake, and it is concluded that the direct effect of previously ingested nutrients was eliminated by the third day. However, there appeared to be a further decline in heat production until 6–7 days following the reduction in energy intake.The heat production of singly caged pigs fed almost to appetite was similar at 22 and 29 °C. Heat production increased at 15 °C, indicating that this was below the lower critical temperature of fed 25 kg pigs. The response of heat production to the low temperature continued for at least 18 days. Variations in heat production between animals and litters were as high as 15% in three experiments.

scholarly journals MATHEMATICAL MODEL TO ESTIMATE CARBON FOOTPRINT FOR EEG INCUBATION

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Tarek Fouda
Keyword(s):  
Carbon Dioxide ◽  
Mathematical Model ◽  
Heat Production ◽  
Growth Period ◽  
Performance Comparison ◽  
Co2 Production ◽  
C Language ◽  
Wide Range ◽  
Co2 Level ◽  
Main Programme

This work presents a performance comparison between several incubators models including CO2, and NH4 emission. A mathematical model for incubators carbon foot print was developed to estimate CO2, Nh4 emission. The program written by C++ language including convert line. The modular structure of program consists of a main programme and series of independent subroutine، each one deals with a specific parameter of the required data. The computer programme has a wide range of applicability several values of size of the machine (NO. egg), Fertility (F), Heat production embryo (HPe), maximum CO2 level (CO2)m , CO2 level incoming air (CO2)I ,RQ value (RQ) to estimate  Heat production (HP( , CO2 production  , Ventilation (V) , Ventilation of egg (Vegg) Input data: Enter size of the machine, Fertility (F), Heat production embryo (HPe), maximum CO2 level (CO2)m , CO2 level incoming air (CO2)I ,RQ value (RQ) the results As the growth period passed from the first day of the twenty-first day, the amount of heat produced increased from 0.0001 to 0.35 w / egg , and ventilation from 0 to 352 m3 / hr as well as the amount of carbon dioxide produced from 0.0000158 to 0.04318 lit/hr/Mach . As the number of eggs increased from 5,000 to 30,000 eggs, each of the heat produced increased from 923.4 to 5540.4 kg / hr, the resulting carbon dioxide from 32 to 190 lit / hr / Mach, and ventilation from 9 to 54 m3/hr 

scholarly journals Bayesian analysis of energy balance data from growing cattle using parametric and non-parametric modelling

2014 ◽  
Vol 54 (12) ◽  
pp. 2068 ◽  
Author(s):  
L. E. Moraes ◽  
E. Kebreab ◽  
A. B. Strathe ◽  
J. France ◽  
J. Dijkstra ◽  
...  
Keyword(s):  
Energy Intake ◽  
Heat Production ◽  
Energy Requirements ◽  
Parametric Modelling ◽  
Retention Models ◽  
Production Models ◽  
Growing Cattle ◽  
Energy Retention ◽  
Metabolisable Energy ◽  
Non Parametric

Linear and non-linear models have been extensively utilised for the estimation of net and metabolisable energy requirements and for the estimation of the efficiencies of utilising dietary energy for maintenance and tissue gain. In growing animals, biological principles imply that energy retention rate is non-linearly related to the energy intake level because successive increments in energy intake above maintenance result in diminishing returns for tissue energy accretion. Heat production in growing cattle has been traditionally described by logarithmic regression and exponential models. The objective of the present study was to develop Bayesian models of energy retention and heat production in growing cattle using parametric and non-parametric techniques. Parametric models were used to represent models traditionally employed to describe energy use in growing steers and heifers whereas the non-parametric approach was introduced to describe energy utilisation while accounting for non-linearities without specifying a particular functional form. The Bayesian framework was used to incorporate prior knowledge of bioenergetics on tissue retention and heat production and to estimate net and metabolisable energy requirements (NEM and MEM, respectively), and the partial efficiencies of utilising dietary metabolisable energy for maintenance (km) and tissue energy gain (kg). The database used for the study consisted of 719 records of indirect calorimetry on steers and non-pregnant, non-lactating heifers. The NEM was substantially larger in energy retention models (ranged from 0.40 to 0.50 MJ/kg BW0.75.day) than were NEM estimates from heat-production models (ranged from 0.29 to 0.49 MJ/kg BW0.75.day). Similarly, km was also larger in energy retention models than in heat production models. These differences are explained by the nature of y-intercepts (NEM) in these two models. Energy retention models estimate fasting catabolism as the y-intercept, while heat production models estimate fasting heat production. Conversely, MEM was virtually identical in all models and approximately equal to 0.53 MJ/kg BW0.75.day in this database.

Energy partition, nutritional energy requirements and methane production in F1 Holstein × Gyr bulls, using the respirometric technique

2019 ◽  
Vol 59 (7) ◽  
pp. 1253
Author(s):  
A. L. Ferreira ◽  
A. L. C. C. Borges ◽  
R. C. Mourão ◽  
R. R. Silva ◽  
A. C. A. Duque ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Intake ◽  
Heat Production ◽  
Methane Production ◽  
Dry Matter ◽  
Energy Requirements ◽  
Net Energy ◽  
Energy Partition ◽  
Gross Energy ◽  
Metabolisable Energy

The nutritional energy requirements of animals for maintenance and weight gain, such as the energy partition of the diet, were determined in different feeding plans. Fifteen F1 Holstein × Gyr, non-castrated male bovines with a mean initial liveweight of 302 kg were used. The diets were corn silage and concentrate, formulated to enable gains of 100, 500 and 900 g/day, called low, medium and high weight gains, respectively. Tests of digestibility and metabolism were conducted to determine energy losses through faeces, urine and methane emissions. Heat production was determined using respirometry chamber. Net energy for maintenance was calculated as the antilogarithm of the intercept of the regression of the logarithm of the heat production, as a function of the metabolisable energy intake. Retained energy was obtained by subtracting the heat production from the metabolisable energy intake. With the increased consumption of dry matter, there was an increase in faecal and urinary energy loss. Retained energy increased linearly with the metabolisable energy intake. The net energy for gain in the diet did not differ among the treatments, such as the efficiency of use of metabolisable energy for weight gain kg (0.34). The net energy for maintenance was 312 kJ/kg LW0.75, and the metabolisable energy for maintenance was 523 kJ/kg LW0.75. The daily methane production (g/day) increased with the dry matter level and the daily loss represented 5.31% of the gross energy consumption.

scholarly journals Greenhouse gas emission from motor vehicles in Poland in 2015

2018 ◽  
Vol 29 (2) ◽  
pp. 9-13
Author(s):  
Zdzisław Chłopek ◽  
Anna Olecka ◽  
Krystian Szczepański
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Greenhouse Gas ◽  
Carbon Dioxide Emissions ◽  
Greenhouse Gas Emission ◽  
Road Transport ◽  
Total Carbon ◽  
Motor Vehicles ◽  
Gas Emission ◽  
Gas Emissions

Abstract The article presents the results of the inventory of greenhouse gas emissions from motor vehicles in Poland in 2015. The inventory was developed in accordance with the applicable guidelines for the annual greenhouse gas emission inventory (Decision 24/CP.19 of the Conference of the Parties to the United Nations Framework Convention on Climate Change) by the National Centre for Emissions Management and Balancing (KOBiZE) at the Institute of Environmental Protection – the National Research Institute. The national annual gas emissions from road transport are presented, including: carbon dioxide, methane and nitrous oxide along with emissions of the above gases converted into carbon dioxide equivalents. Carbon dioxide makes up the largest share in carbon dioxide emissions. This is particularly evident in the case of road transport – the emission of gases other than carbon dioxide (methane and nitrous oxide) is several orders of magnitude lower than the emission of carbon dioxide. Carbon dioxide emissions from road transport account currently for approximately 14% of the total carbon dioxide emission in Poland.

Energy and nitrogen utilisation of sow colostrum and milk by the piglet

2007 ◽  
Vol 87 (4) ◽  
pp. 571-577 ◽  
Author(s):  
Jean Le Dividich ◽  
Julia Marion ◽  
Françoise Thomas
Keyword(s):  
Key Words ◽  
Energy Intake ◽  
Heat Production ◽  
Indirect Calorimetry ◽  
Energy Cost ◽  
Protein Deposition ◽  
Newborn Piglets ◽  
Energy Retention ◽  
Metabolisable Energy ◽  
The Difference

Twenty-four newborn piglets were used to evaluate the digestibility of sow colostrum and milk and the efficiency of milk utilisation by the piglet. Within a litter, four piglets were allotted to one of the four treatments: killed at birth, or bottle-fed sow colostrum for 30 h and sow milk thereafter at the rate of 100, 200, or 300 g kg-1 d-1. Piglets were killed on day 8. Faeces and urine were daily collected and heat production (HP) was determined by indirect calorimetry on days 6 and 7, each day during three successive periods of 105–110 min. Energy retention (ER) was calculated as the difference between metabolisable energy intake (ME) and HP. ER was also determined over the 8-d period using the comparative slaughter (CS). There was no effect of level of feeding on energy and nitrogen digestibility. Milk energy digestibility and metabolisability (ME/GE × 100) and nitrogen digestibility were 98.2 ± 1.2 (SEM), 96.8 ± 1.4 and 98.3 ± 1.3%, respectively. Corresponding values for colostrum were lower (P < 0.01), averaging 95.2 ± 2.8, 92.6 ± 3.1 and 95.3 ± 2.9%, respectively. Efficiency of using milk ME for ER determined by indirect calorimetry or CS was similar and averaged 0.72 ± 0.02. The energy cost of 1 kJ of protein deposition was 1.77 (± 0.04) kJ (efficiency, 0.56), whereas the energy cost of 1 kJ of fat deposition was not different to 1 kJ. Key words: Piglet, colostrum, milk, energy, nitrogen

scholarly journals The energy requirement for maintenance and production of laying hens.

1970 ◽  
Vol 18 (3) ◽  
pp. 195-206 ◽  
Author(s):  
A.H.M. Grimbergen
Keyword(s):  
Rhode Island ◽  
Heat Production ◽  
Egg Production ◽  
Energy Requirement ◽  
Open Circuit ◽  
White Leghorn ◽  
Maintenance Requirement ◽  
Daily Energy ◽  
Energy Retention ◽  
Metabolisable Energy

Heat production was recorded by open-circuit respiration calorimetry. In the first 3 experiments heat production after 24 h without feed by birds laying at about 80% production was measured. Mean daily fasting heat production of 12 White Leghorn hens of 1.68 kg bodyweight caged individually, 12 White Leghorn hens of 1.68 kg caged in pairs and 10 Australorp x Rhode Island Red hens of 2.4 kg caged in pairs were 97.0, 98.0 and 90.6 kcal per kg W0.75. The overall relation between heat production (H) and W0.75 was H=85.2 W0.75+16.6. The relation between daily energy retention (Y) in kcal per kg W0.75 and intake of metabolisable energy (ME) (X) in kcal per kg W0.75, established with 37 White Leghorn hens at peak and end of production, after 12 months, was Y= 0.642 X-65.7. The net availability of ME for egg production was 64.2+or- 5.5% and the daily maintenance requirement was 102+or-7.6 kcal per kg W0.75. The result was applied to a laying trial with 1020 hens in batteries and 300 on deep litter to get a measure of ME used for maintenance. After subtraction of ME used for production the calculated mean for maintenance was 131 and 138kcal per kg W0.75 for hens in batteries and on deep litter. ME for maintenance was greater in winter.-D. W. F. S. (Abstract retrieved from CAB Abstracts by CABI’s permission)

Greenhouse Gas Emissions Due to Power Consumption of Household Whitegoods Appliances

2002 ◽  
Vol 13 (6) ◽  
pp. 833-850
Author(s):  
Caleb Stewart ◽  
Mir-Akbar Hessami
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Power Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Dioxide Emissions ◽  
Total Carbon ◽  
Gas Emissions ◽  
Household Appliances ◽  
Actual Energy Consumption

This paper presents information related to greenhouse gas emissions due to the power consumption of the following household appliances: refrigerators, clothes washers, clothes dryers, freezers, and dishwashers; a possible extension to this analysis would include heaters and air-conditioners. Actual energy consumption data for the period 1993 to 1999 were used to estimate the total carbon dioxide emissions for 1994 to 2009 incremented at 5 years; these data can also be used to estimate the energy consumption of these appliances for 2008–2012 with reference to 1990 for reasons of comparison under the Kyoto Protocol. The total carbon dioxide equivalent emissions for the above household appliances show a peak of 29.6 mega-tonnes CO2 around 1999 with a decreasing trend post 1999 to 27.4 mega-tonnes CO2 in 2009. Details of the analysis for selected appliances show that refrigerators account for over half of total emissions, decreasing from 60.1% in 1994 to 51.6% in 2009. The aggregate trend activity was found to highly depend on the trend activity for emissions for refrigerators. The trend activity for freezers, clothes dryers and clothes washers is increasing for consecutive years from 1994 to 2009 defying the trend exhibited by refrigerators and dishwashers. The reason for this discrepancy is the relatively higher decreases in kWh/annum for refrigerators and dishwashers in contrast to other appliances. The energy consumption curves for each appliance take this differential into account. The energy consumption curve for refrigerators predicts a much faster decrease in kWh/annum than for other appliances thus causing the downward trend post 1999.

scholarly journals Previous feeding level influences plateau heat production following a 24 h fast in growing pigs

2006 ◽  
Vol 95 (6) ◽  
pp. 1082-1087 ◽  
Author(s):  
Kees de Lange ◽  
Jaap van Milgen ◽  
Jean Noblet ◽  
Serge Dubois ◽  
Stephen Birkett
Keyword(s):  
Energy Intake ◽  
Heat Production ◽  
Energy Content ◽  
Growing Pigs ◽  
Energy Requirements ◽  
Maintenance Energy ◽  
Adaptation Period ◽  
Fed State ◽  
Feeding Level ◽  
Metabolisable Energy

Factorial approaches to estimate energy requirements of growing pigs require estimation of maintenance energy requirements. Heat production (HP) during fasting (FHP) may provide an estimate of maintenance energy requirements. Six barrows were used to determine effects of feedinglevel on components of HP, including extrapolated plateau HP following a 24h fast (FHPp). Based on a cross-over design, each pig was exposed to three feeding levels (1·55, 2·05 and 2·54MJ metabolisable energy/kg body weight (BW)0·60 per d) between 30 and 90kg BW. Following a 14d adaptation period, HP wasestimated using indirect calorimetry on pigs housed individually. Dynamics of HP were recordedin pigs for 5d during the fed state and during a subsequent 24h fast. Metabolisable energy intake was partitioned between thermal effect of feeding (HPf), activity HP (HPa), FHPp and energy retention. Feeding level influenced (P<0·05) total HP during the fed state, HPf and activity-free FHPp (609, 644 and 729 (se 31) kJ/kg BW0·60 per d for low, medium and high ME intakes, respectively). The value of FHPp when expressed per kg BW0·60 did not differ (P=0·34) between the three subsequent experimental periods. Feeding level did not (P=0·75) influence HPa. Regression of total HP during the fed state to zero metabolisable energy intake yielded a value of 489 (se 69) kJ/kg BW0·60 per d, which is a lower estimate ofmaintenanceenergy requirement than FHPp. Duration of adaptation of pigs to changes in feeding level and calculation methods should be considered when measuring or estimating FHPp, maintenance energy requirements and diet net energy content.

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