Predicting the chemical composition of the body and the carcass of 3/4Boer×1/4Saanen kids using body components

2008 ◽  
Vol 75 (1) ◽  
pp. 90-98 ◽  
Author(s):  
M.H.M.R. Fernandes ◽  
K.T. Resende ◽  
L.O. Tedeschi ◽  
J.S. Fernandes ◽  
I.A.M.A. Teixeira ◽  
...  
Keyword(s):  
Chemical Composition ◽  
The Body ◽  
Body Components

Body composition of young sheep and goats determined by the tritium dilution technique

1993 ◽  
Vol 121 (3) ◽  
pp. 399-408 ◽  
Author(s):  
R. W. Benjamin ◽  
R. Koenig ◽  
K. Becker
Keyword(s):  
Body Composition ◽  
Chemical Composition ◽  
Energy Content ◽  
Tritiated Water ◽  
Component Composition ◽  
The Body ◽  
Energy Concentration ◽  
Sheep And Goats ◽  
Body Components ◽  
Similar Body

SUMMARYTen young crossbred Finnish Landrace sheep and eleven young crossbred Damascus goats with liveweights ranging from 14 to 50 kg and of different ages and body condition, were used to develop equations to predict the body composition (chemical) in the intact body and dressed carcass of young sheep and goats. After injection with tritiated water, the animals were slaughtered and their carcasses partitioned into anatomical body components which were each analysed for chemical composition (water, fat, protein, ash) and energy content. From these components, the energy content and chemical composition of the intact bodies were calculated by summation. Apart from organ and gut fat, the two species had a similar body component composition. Goat intact bodies were more hydrated and had less fat, but were similar to sheep in protein and ash content. The energy concentration in their body components was also similar, but goats had a lower energy concentration in their intact bodies. Total body water, energy content and dressed carcass were predicted accurately by the derived equations, but fat, protein and ash were predicted with less precision.

Growth patterns in sheep: changes in the chemical composition of the empty body and its constituent parts during weight loss and compensatory growth

1984 ◽  
Vol 103 (1) ◽  
pp. 17-24 ◽  
Author(s):  
B. W. Butler-Hogg
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Chemical Composition ◽  
Chemical Constituents ◽  
Growth Patterns ◽  
The Body ◽  
Control Group ◽  
Relative Contribution ◽  
Body Components ◽  
Three Body

SummaryChemical compositional (protein, fat, ash and water) changes in the fleece-free empty body, carcass, viscera and ‘remainder’ components of Corriedale wether sheep were measured by serial slaughter of animals following five different growth paths.The composition of sheep, after losing up to 34% of body weight over 18 weeks at 125 g/day, was significantly different from a continuously growing control group at the same body weight, but the actual differences in the weights of tissues were small. At the end of weight loss all treatment sheep contained more fat and protein, and less water than controls.The different growth paths followed during weight loss led to differences in the proportions of protein, fat, ash and water lost and to differences between the three body components in the relative contribution made by each.The periods of weight loss led to changes in the relative growth coefficients for chemical constituents during realimentation, particularly those of fat and ash which were reduced, and of water which was increased.The response to realimentation differed between body components, particularly the carcass and viscera. Above the body weight at which weight loss was imposed the realimented sheep did not differ in chemical composition from the continuously ad libitum fed controls when compared at the same weight.

scholarly journals Genetic Association Analysis for Relative Growths of Body Compositions and Metabolic Traits to Body Weights in Broilers

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 469
Author(s):  
Ying Zhang ◽  
Hengyu Zhang ◽  
Yunfeng Zhao ◽  
Xiaojing Zhou ◽  
Jie Du ◽  
...  
Keyword(s):  
Allometric Scaling ◽  
Mapping Method ◽  
The Body ◽  
Random Regression ◽  
Broiler Meat ◽  
Metabolic Traits ◽  
Body Weights ◽  
Scaling Models ◽  
Body Components ◽  
Body Compositions

In animal breeding, body components and metabolic traits always fall behind body weights in genetic improvement, which leads to the decline in standards and qualities of animal products. Phenotypically, the relative growth of multiple body components and metabolic traits relative to body weights are characterized by using joint allometric scaling models, and then random regression models (RRMs) are constructed to map quantitative trait loci (QTLs) for relative grwoth allometries of body compositions and metabolic traits in chicken. Referred to as real joint allometric scaling models, statistical utility of the so-called LASSO-RRM mapping method is given a demonstration by computer simulation analysis. Using the F2 population by crossing broiler × Fayoumi, we formulated optimal joint allometric scaling models of fat, shank weight (shank-w) and liver as well as thyroxine (T4) and glucose (GLC) to body weights. For body compositions, a total of 9 QTLs, including 4 additive and 5 dominant QTLs, were detected to control the allometric scalings of fat, shank-w, and liver to body weights; while a total of 10 QTLs of which 6 were dominant, were mapped to govern the allometries of T4 and GLC to body weights. We characterized relative growths of body compositions and metabolic traits to body weights in broilers with joint allometric scaling models and detected QTLs for the allometry scalings of the relative growths by using RRMs. The identified QTLs, including their highly linked genetic markers, could be used to order relative growths of the body components or metabolic traits to body weights in marker-assisted breeding programs for improving the standard and quality of broiler meat products.

scholarly journals Geo-Assessment of Chemical Composition and Nutritional Evaluation of Moringa oleifera Seeds in Nutrition of Broilers

2014 ◽  
Vol 6 (4) ◽  
pp. 119 ◽  
Author(s):  
A. Annongu ◽  
O. R. Karim ◽  
A. A. Toye ◽  
F. E. Sola-Ojo ◽  
R. M. O. Kayode ◽  
...  
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Chemical Composition ◽  
Feed Intake ◽  
Moringa Oleifera ◽  
The Body ◽  
Feed Consumption ◽  
Seed Meal ◽  
Mineral Matter ◽  
Inclusion Level

Chemical composition of Moringa oleifera seeds obtained from the middle belt of Nigeria, Benue State, was determined and the seed was blended to form a seed meal. The Moringa oleifera Seed Meal, MOSM was included in diets at graded levels of 2.50, 5.00 and 7.50% and the dietary performance of the broiler chicks on the test diets was compared with that of a corn-soy reference diet. Results on the chemical/nutritional composition of MOSM showed that the full-fat seeds contained (%) on proximate basis, reasonable concentration of 90.38 dry matter, 25.37 crude protein, 14.16 crude fat, 4.03 mineral matter, 30.64 crude fiber, 25.80 soluble carbohydrate and 5.79 kcal/g gross energy. Analyses also gave appreciable quantities of the water and fat soluble vitamins, macro - and micro-minerals. Feeding chicks with the seed meal at graded levels in diets resulted in decrease in feed intake and body weight gain as the inclusion level increased in diets relative to the conventional diet (p < 0.05). Reduction in feed consumption could be attributed to the full-fat nature of the seed meal used which might have imparted extra-caloric effect in the test diets and slowed digestion and absorption as the analyzed nutrients content of diets. A higher ether extract value on Moringa based diets relative to the control diet was obtained. Phytochemical composition of Moringa namely phenols including tannins, saponins, phytate, cyanogenic glucoside, glucosinolates and other numerous chemical constituents affected the body weight of the chicks negatively with increasing dietary MOSM. Decrease in weight gain following increase in dietary seed meal could also be due to decrease in feed intake as a result of the bitter taste of alkaloids, saponins, acting in concert with the other Moringa phytotoxins in test diets. Survival rate (100%) was not affected indicating that the level of highest inclusion in this study (7.50%) was not fatal to the experimental animal models. Further research is progressing to ascertain the highest inclusion level possible to elicit fatality and attempts to detoxify or treat the seed meal before feeding to animals.

DIRECT GENETIC AND POSTNATAL MATERNAL GENETIC EFFECTS ON BODY COMPOSITION IN MICE SELECTED FOR BODY WEIGHT

1979 ◽  
Vol 21 (1) ◽  
pp. 43-56 ◽  
Author(s):  
J. F. Hayes ◽  
E. J. Eisen
Keyword(s):  
Body Weight ◽  
Genetic Effects ◽  
The Body ◽  
Control Line ◽  
Ether Extract ◽  
Correlated Responses ◽  
Relative Growth Rates ◽  
Order Of Magnitude ◽  
Body Components ◽  
Water Percent

Line crossfostering techniques were used to study differences among selected and control lines of mice in direct genetic and postnatal maternal genetic influences on preweaning (day 12) body weight and composition. The lines were selected for high (H6) and low (L6) 6-week body weight and the control line (C2) was maintained by random selection. There were positive correlated responses to selection in both direct genetic and postnatal maternal genetic effects on body weight and weights of all body components (P < 0.01) except for water and ash weight in H6. The correlated responses in postnatal maternal genetic effects were of the same order of magnitude as those in direct genetic effects. Correlated responses were greater in L6 than in H6. Correlated responses in direct genetic effects were positive (P < 0.01) for water percent in H6 and ether extract percent in L6, and negative (P < 0.01) for water percent and lean percent in L6. Correlated responses in postnatal maternal genetic effects were positive for ether extract percent and negative for water percent (P < 0.01). Correlated responses were far greater in L6 than in H6 and were greater for postnatal maternal genetic effects than for direct genetic effects. Analyses of covariance results indicated line differences in the relative growth rates of the body components.

scholarly journals Comparative study of some bioactive compounds and their antioxidant activity of some berry types

10.5219/1132 ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 515-523 ◽  
Author(s):  
Amina Aly ◽  
Rabab Maraei ◽  
Omneya Abou El-Leel
Keyword(s):  
Antioxidant Activity ◽  
Free Radicals ◽  
Chemical Composition ◽  
Phenolic Compounds ◽  
Bioactive Compounds ◽  
Environmental Conditions ◽  
The Body ◽  
Harvest Time ◽  
Berry Fruits ◽  
Red Currant

Berries are wealthy in bioactive compounds like phenolic compounds and flavonoids that are deemed antioxidants and are great important to health. This research was performed to examine, recognize and compare bioactive compounds in certain types of berries and their antioxidant activity. The data show that blue berry, black berry and Egyptian black mulberry contain the highest content of most bioactive compounds such as phenolic compounds, flavonoids and tannins, while long mulberry and red currant berry have the lowest content for most of these compounds. They therefore, contain the highest value of antioxidant activity. The chemical composition of the berries varies depending on cultivar, variety, location of growth, environmental conditions and harvest time, as well as post-harvest treatments therefore the composition differed from berry fruit to another. Thus, berry fruits are very useful in nutrition to protect the body from many diseases because of its containment of these compounds, which act as free radicals scavenger that harm the body and thus rid the body of many harmful toxins.

scholarly journals THE COMPARATIVE VIABILITY OF PNEUMOCOCCI ON SOLID AND ON FLUID CULTURE MEDIA

1913 ◽  
Vol 18 (5) ◽  
pp. 584-590
Author(s):  
L. J. Gillespie
Keyword(s):  
Chemical Composition ◽  
Solid Medium ◽  
Culture Media ◽  
The Body ◽  
The Other ◽  
Made In ◽  
Fluid Culture

1. Pneumococci, when freshly isolated from the body, are able to live and multiply when a small number of them are inoculated into a small amount of broth. If, however, the inoculations are made in large amounts of broth, many more bacteria must be inoculated in order that they may grow. 2. It requires much smaller numbers of pneumococci to start a growth on agar than are required to start a growth in broth. 3. This predilection for solid medium disappears when the bacteria are grown for some time outside the body. 4. This phenomenon is not dependent on differences in chemical composition between the two media employed or on the presence of more available oxygen in one case than in the other. 5. It is probably dependent entirely on physical differences in the two kinds of media, and bears some relation to the differences in possibilities for diffusion in the two media.

Physical and chemical composition of the body of breeding sows with differing body subcutaneous fat depth at parturition, differing nutrition during lactation and differing litter size

1989 ◽  
Vol 48 (1) ◽  
pp. 203-212 ◽  
Author(s):  
C. T. Whittemore ◽  
H. Yang
Keyword(s):  
Chemical Composition ◽  
Energy Requirement ◽  
Subcutaneous Fat ◽  
Live Weight ◽  
Total Content ◽  
The Body ◽  
Large White ◽  
Body Protein ◽  
Weight Losses ◽  
Physical And Chemical

ABSTRACTThe physical and chemical composition of sows was determined at first mating (no. = 6), weaning the first litter (12) and 14 days after weaning the fourth litter (24). The sows were from 108 Large White/Landrace Fl hybrid gilts allocated in a factorial arrangement according to two levels of subcutaneous fatness at parturition (12 v. 22 mm P2), two levels of lactation feeding (3 v. 7 kg) and two sizes of sucking litter (six v. 10). Treatments significantly influenced the composition of dissected carcass fat and chemical lipid, but not composition of dissected lean and chemical protein. The final body protein mass of well fed sows at the termination of parity 4 was 41 kg, and the total content of gross energy (GE) in excess of 3000 MJ, with an average of 12·4 MJ GE per kg live weight; equivalent values for the less well fed sows were 33 kg and 9·4 MJ GE per kg live weight respectively. The weights of chemical lipid and protein could be predicted from the equations: lipid (kg) = -20·4 (s.e. 4·5) + 0·21 (s.e. 0·02) live weight + 1·5 (s.e. 0·2) P2; protein (kg) = -2·3 (s.e. 1·6) + 0·19 (s.e. 0·01) live weight - 0·22 (s.e. 0·07) P2. On average, sows lost 9 kg lipid and 3 kg protein in the course of the 28-day lactation; these being proportionately about 0·16 and 0·37 of the live-weight losses respectively. Maternal energy requirement for maintenance was estimated as 0·50 MJ digestible energy (DE) per kg M0·75, while the efficiency of use of DE for energy retention was 0·28.

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