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1

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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2

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1996), contract number NAS5-31363. [Washington, DC: National Aeronautics and Space Administration, 1996.

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3

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1997), contract number NAS5-31363. [Washington, DC: National Aeronautics and Space Administration, 1997.

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4

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1994). [Washington, D.C: National Aeronautics and Space Administration, 1995.

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5

Gordon, Howard R. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1995). [Washington, D.C: National Aeronautics and Space Administration, 1996.

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6

V, Sankar Bhavani, and United States. National Aeronautics and Space Administration., eds. Effects of through-the-thickness stitching on impact and interlaminar fracture properties of textile graphite/epoxy laminates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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7

V, Sankar Bhavani, and United States. National Aeronautics and Space Administration., eds. Effects of through-the-thickness stitching on impact and interlaminar fracture properties of textile graphite/epoxy laminates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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8

V, Sankar Bhavani, and United States. National Aeronautics and Space Administration., eds. Effects of through-the-thickness stitching on impact and interlaminar fracture properties of textile graphite/epoxy laminates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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9

C, Weger R., Welch R. M, and United States. National Aeronautics and Space Administration., eds. Simultaneous retrieval of multiple aerosol parameters using a multi-angular approach. [Washington, DC: National Aeronautics and Space Administration, 1997.

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10

Chance, Kelly, and Randall V. Martin. Radiative Transfer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199662104.003.0004.

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Radiative transfer is the process of energy transfer during the propagation of electromagnetic radiation through a medium. The processes of extinction, due to absorption and scattering, and thermal emission are described. It is shown how they can be represented by wavelength-dependent optical thickness, due to absorption or emission cross sections and the number of absorbers, emitters, or scatterers. Cloud optical thickness and conservative scattering are described. The scattering phase function is introduced. Next, the general form of radiative transfer is given, and its applicability to the details of planetary atmospheric radiation shown.
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11

B, Russell Phillip, and United States. National Aeronautics and Space Administration., eds. Measurement and analysis of atmospheric spectral optical depths with NASA Ames Airborne Sunphotometers during TARFOX and ACE-2: Final report : SRI project 7325 : NASA Ames cooperative agreement NCC 2-938. Menlo Park, CA : b SRI International: National Aeronautics and Space Administration, 1997.

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12

B, Russell Phillip, and United States. National Aeronautics and Space Administration., eds. Measurement and analysis of atmospheric spectral optical depths with NASA Ames Airborne Sunphotometers during TARFOX and ACE-2: Final report : SRI project 7325 : NASA Ames cooperative agreement NCC 2-938. Menlo Park, CA : b SRI International: National Aeronautics and Space Administration, 1997.

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13

Measurement and analysis of atmospheric spectral optical depths with NASA Ames Airborne Sunphotometers during TARFOX and ACE-2: Final report : SRI project 7325 : NASA Ames cooperative agreement NCC 2-938. Menlo Park, CA : b SRI International: National Aeronautics and Space Administration, 1997.

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14

Rigo, Fausto, Covadonga Fernández-Golfín, and Bruno Pinamonti. Dilated cardiomyopathy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0043.

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Dilated cardiomyopathy (DCM) is characterized by a globally dilated and dysfunctioning left ventricle (LV). Therefore, echocardiographic diagnostic criteria for DCM are a LV end-diastolic diameter greater than 117% predicted value corrected for age and body surface area and a LV ejection fraction less than 45% (and/or fractional shortening less than 25%). Usually, the LV is also characterized by a normal or mildly increased wall thickness with eccentric hypertrophy and increased mass, a spherical geometry (the so-called LV remodelling), a dyssynchronous contraction (typically with left bundle branch block), and diastolic dysfunction with elevated LV filling pressure. Other typical echocardiographic features of DCM include functional mitral and tricuspid regurgitation, right ventricular dysfunction, atrial dilatation, and secondary pulmonary hypertension. Several echocardiographic parameters, measured both at baseline and at follow-up, are valuable for prognostic stratification of DCM patients. Furthermore, re-evaluation of echocardiographic parameters during the disease course under optimal medical therapy is valuable for tailoring medical treatment and confirming indications for invasive treatments at follow-up. The stress echo can play a pivotal role in the different phases of DCM helping us in stratifying the prognosis of these patients. Finally, familial screening is an important tool for early diagnosis of DCM in asymptomatic patients.
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15

A, Christopher Sundar, and United States. National Aeronautics and Space Administration., eds. Remote sensing of global fire patterns, aerosol optical thickness, and carbon monoxide during April 1994. [Washington, DC: National Aeronautics and Space Administration, 1997.

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16

Approximate solution methods for spectral radiative transfer in high refractive index layers. [Washington, D.C: National Aeronautics and Space Administration, 1994.

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17

Robert, Barnes, McClain C. R, and Goddard Space Flight Center, eds. In situ aerosol optical thickness collected by the SIMBIOS Program (1997-2000): Protocols, and data QC and analysis. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2001.

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18

Chance, Kelly, and Randall V. Martin. Line Shapes. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199662104.003.0006.

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Line shapes describe how absorption and emission are spectrally distributed around the line positions formed by rotational, vibrational, and electronic transitions. Line shapes arise from the different processes that spectrally broaden the absorption and emission of radiation. Optical thickness and equivalent width are shown to be fundamentally related to line shape. The fundamental line shape functions for atmospheres including the Gaussian line shape due to molecular motion and the Lorentzian line shape from lifetime broadening, including collision (pressure) broadening are described. Their convolution, the Voigt line shape, which is important in some atmospheric conditions is also described. The standard HITRAN database of spectroscopic parameters of molecules for use in calculation of radiative transfer in planetary atmospheres, from radiofrequencies to the near ultraviolet, is introduced.
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19

Nixdorff, Uwe, Stephan Achenbach, Frank Bengel, Pompillio Faggiano, Sara Fernández, Christian Heiss, Thomas Mengden, et al. Imaging in cardiovascular prevention. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656653.003.0006.

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Imaging tools in preventive cardiology can be divided into imaging modalities to assess pre-clinical and clinical atherosclerosis and functional assessments of vascular function or vascular inflammation. To calculate the likelihood of pre-clinical atherosclerosis intima-media thickness as well as coronary calcium scoring are most frequently used. However, beyond these two there are other parameters derived by ultrasound and multi-detector computed tomography as well as magnetic resonance imaging and nuclear/molecular imaging which are discussed in the chapter. Functional tests include flow-mediated dilatation, pulse wave analysis, and the ankle-brachial index. In clinical research other invasive measurements such as intravascular ultrasound/virtual histology/elastography, optical coherence tomography as well as thermography are being used. However, their value in clinical prevention still needs to be established.
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20

Yue, Liu. Remote quantitative temperature and thickness measurements of plasma-deposited titanium nitride thin coatings on steel using a laser interferometric thermoreflectance optical thermometer. 2005.

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21

United States. National Aeronautics and Space Administration., ed. Final report on radiative effects of aerosols. [Washington, DC: National Aeronautics and Space Administration, 1996.

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22

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine stratocumulus region and the tropical Atlantic ocean: A thesis ... [Washington, DC: National Aeronautics and Space Administration, 1993.

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23

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine strato cumulus region and the tropical Atlantic ocean. [Washington, DC: National Aeronautics and Space Administration, 1993.

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24

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine strato cumulus region and the tropical Atlantic ocean. [Washington, DC: National Aeronautics and Space Administration, 1993.

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25

United States. National Aeronautics and Space Administration., ed. A regional analysis of cloudy mean spherical albedo over the marine stratocumulus region and the tropical Atlantic ocean: A thesis ... [Washington, DC: National Aeronautics and Space Administration, 1993.

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26

N, Slater Philip, and United States. National Aeronautics and Space Administration., eds. SeaWiFS calibration and algorithm validation: Annual report for NASA grant NAGW 3543 ... [Washington, DC: National Aeronautics and Space Administration, 1996.

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27

N, Slater Philip, and United States. National Aeronautics and Space Administration., eds. SeaWiFS calibration and algorithm validation: Annual report for NASA grant NAGW 3543 ... [Washington, DC: National Aeronautics and Space Administration, 1996.

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28

N, Slater Philip, and United States. National Aeronautics and Space Administration., eds. SeaWiFS calibration and algorithm validation: Annual report. Tucson, Ariz: Remote Sensing Group, Optical Sciences Center, University of Arizona, 1995.

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29

N, Slater Philip, and United States. National Aeronautics and Space Administration., eds. SeaWiFS calibration and algorithm validation: Annual report. Tucson, Ariz: Remote Sensing Group, Optical Sciences Center, University of Arizona, 1995.

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30

Arbustini, Eloisa, Valentina Favalli, Alessandro Di Toro, Alessandra Serio, and Jagat Narula. Classification of cardiomyopathies. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0348.

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For over 50 years, the definition and classification of cardiomyopathies have remained anchored in the concept of ventricular dysfunction and myocardial structural remodelling due to unknown cause. The concept of idiopathic was first challenged in 2006, when the American Heart Association classification subordinated the phenotype to the aetiology. Cardiomyopathies were classified as genetic, acquired, and mixed. In 2008, the European Society of Cardiology proposed a phenotype-driven classification that separated familial (genetic) from non-familial (non-genetic) forms of cardiomyopathy. Both classifications led the way to a precise phenotypic and aetiological description of the disease and moved away from the previously held notion of idiopathic disease. In 2013, the World Heart Federation introduced a descriptive and flexible nosology—the MOGE(S) classification—describing the morphofunctional (M) phenotype of cardiomyopathy, the involvement of additional organs (O), the familial/genetic (G) origin, and the precise description of the (a)etiology including genetic mutation, if applicable (E); reporting of functional status such as American College of Cardiology/American Heart Association stage and New York Heart Association classification (S) was left optional. MOGE(S) is a bridge between the past and the future. It allows description of comprehensive phenotypic data, all genetic and non-genetic causes of cardiomyopathy, and incorporates description of familial clustering in a genetic disease. MOGE(S) is the instrument of precision diagnosis for cardiomyopathies. The addition of the early and unaffected phenotypes to the (M) descriptor outlines the clinical profile of an early affected family member; the examples include non-dilated hypokinetic cardiomyopathy in dilated cardiomyopathy and septal thickness (13–14 mm) in hypertrophic cardiomyopathy classes.
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31

Ocean observations with EOS/MODIS: Algorithm development and post launch studies. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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32

United States. National Aeronautics and Space Administration., ed. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1994). [Washington, D.C: National Aeronautics and Space Administration, 1995.

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33

United States. National Aeronautics and Space Administration., ed. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January-July 1995). [Washington, D.C: National Aeronautics and Space Administration, 1995.

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34

United States. National Aeronautics and Space Administration., ed. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1997), contract number NAS5-31363. [Washington, DC: National Aeronautics and Space Administration, 1997.

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35

United States. National Aeronautics and Space Administration., ed. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January-July 1995). [Washington, D.C: National Aeronautics and Space Administration, 1995.

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36

United States. National Aeronautics and Space Administration., ed. Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for January - June 1996), contract number NAS5-31363. [Washington, DC: National Aeronautics and Space Administration, 1996.

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37

Ocean observations with EOS/MODIS: Algorithm development and post launch studies : semi-annual report (for July - December 1995). [Washington, D.C: National Aeronautics and Space Administration, 1996.

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38

Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones are a tissue that even in adult life retains the ability to change shape and structure depending on changes in their mechanical and hormonal environment, as well as self-renewal and repair capabilities. This process is called bone turnover. The basic processes of bone turnover are: • bone modeling (incessantly changes in bone shape during individual growth) following resorption and tissue formation at various locations (e.g. bone marrow formation) to increase mass and skeletal morphology. This process occurs in the bones of growing individuals and stops after reaching puberty • bone remodeling (processes involve in maintaining bone tissue by resorbing and replacing old bone tissue with new tissue in the same place, e.g. repairing micro fractures). It is a process involving the removal and internal remodeling of existing bone and is responsible for maintaining tissue mass and architecture of mature bones. Bone turnover is regulated by two types of transformation: • osteoclastogenesis, i.e. formation of cells responsible for bone resorption • osteoblastogenesis, i.e. formation of cells responsible for bone formation (bone matrix synthesis and mineralization) Bone maturity can be defined as the completion of basic structural development and mineralization leading to maximum mass and optimal mechanical strength. The highest rate of increase in pig bone mass is observed in the first twelve weeks after birth. This period of growth is considered crucial for optimizing the growth of the skeleton of pigs, because the degree of bone mineralization in later life stages (adulthood) depends largely on the amount of bone minerals accumulated in the early stages of their growth. The development of the technique allows to determine the condition of the skeletal system (or individual bones) in living animals by methods used in human medicine, or after their slaughter. For in vivo determination of bone properties, Abstract 10 double energy X-ray absorptiometry or computed tomography scanning techniques are used. Both methods allow the quantification of mineral content and bone mineral density. The most important property from a practical point of view is the bone’s bending strength, which is directly determined by the maximum bending force. The most important factors affecting bone strength are: • age (growth period), • gender and the associated hormonal balance, • genotype and modification of genes responsible for bone growth • chemical composition of the body (protein and fat content, and the proportion between these components), • physical activity and related bone load, • nutritional factors: – protein intake influencing synthesis of organic matrix of bone, – content of minerals in the feed (CA, P, Zn, Ca/P, Mg, Mn, Na, Cl, K, Cu ratio) influencing synthesis of the inorganic matrix of bone, – mineral/protein ratio in the diet (Ca/protein, P/protein, Zn/protein) – feed energy concentration, – energy source (content of saturated fatty acids - SFA, content of polyun saturated fatty acids - PUFA, in particular ALA, EPA, DPA, DHA), – feed additives, in particular: enzymes (e.g. phytase releasing of minerals bounded in phytin complexes), probiotics and prebiotics (e.g. inulin improving the function of the digestive tract by increasing absorption of nutrients), – vitamin content that regulate metabolism and biochemical changes occurring in bone tissue (e.g. vitamin D3, B6, C and K). This study was based on the results of research experiments from available literature, and studies on growing pigs carried out at the Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The tests were performed in total on 300 pigs of Duroc, Pietrain, Puławska breeds, line 990 and hybrids (Great White × Duroc, Great White × Landrace), PIC pigs, slaughtered at different body weight during the growth period from 15 to 130 kg. Bones for biomechanical tests were collected after slaughter from each pig. Their length, mass and volume were determined. Based on these measurements, the specific weight (density, g/cm3) was calculated. Then each bone was cut in the middle of the shaft and the outer and inner diameters were measured both horizontally and vertically. Based on these measurements, the following indicators were calculated: • cortical thickness, • cortical surface, • cortical index. Abstract 11 Bone strength was tested by a three-point bending test. The obtained data enabled the determination of: • bending force (the magnitude of the maximum force at which disintegration and disruption of bone structure occurs), • strength (the amount of maximum force needed to break/crack of bone), • stiffness (quotient of the force acting on the bone and the amount of displacement occurring under the influence of this force). Investigation of changes in physical and biomechanical features of bones during growth was performed on pigs of the synthetic 990 line growing from 15 to 130 kg body weight. The animals were slaughtered successively at a body weight of 15, 30, 40, 50, 70, 90, 110 and 130 kg. After slaughter, the following bones were separated from the right half-carcass: humerus, 3rd and 4th metatarsal bone, femur, tibia and fibula as well as 3rd and 4th metatarsal bone. The features of bones were determined using methods described in the methodology. Describing bone growth with the Gompertz equation, it was found that the earliest slowdown of bone growth curve was observed for metacarpal and metatarsal bones. This means that these bones matured the most quickly. The established data also indicate that the rib is the slowest maturing bone. The femur, humerus, tibia and fibula were between the values of these features for the metatarsal, metacarpal and rib bones. The rate of increase in bone mass and length differed significantly between the examined bones, but in all cases it was lower (coefficient b <1) than the growth rate of the whole body of the animal. The fastest growth rate was estimated for the rib mass (coefficient b = 0.93). Among the long bones, the humerus (coefficient b = 0.81) was characterized by the fastest rate of weight gain, however femur the smallest (coefficient b = 0.71). The lowest rate of bone mass increase was observed in the foot bones, with the metacarpal bones having a slightly higher value of coefficient b than the metatarsal bones (0.67 vs 0.62). The third bone had a lower growth rate than the fourth bone, regardless of whether they were metatarsal or metacarpal. The value of the bending force increased as the animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. The rate of change in the value of this indicator increased at a similar rate as the body weight changes of the animals in the case of the fibula and the fourth metacarpal bone (b value = 0.98), and more slowly in the case of the metatarsal bone, the third metacarpal bone, and the tibia bone (values of the b ratio 0.81–0.85), and the slowest femur, humerus and rib (value of b = 0.60–0.66). Bone stiffness increased as animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. Abstract 12 The rate of change in the value of this indicator changed at a faster rate than the increase in weight of pigs in the case of metacarpal and metatarsal bones (coefficient b = 1.01–1.22), slightly slower in the case of fibula (coefficient b = 0.92), definitely slower in the case of the tibia (b = 0.73), ribs (b = 0.66), femur (b = 0.59) and humerus (b = 0.50). Bone strength increased as animals grew. Regardless of the growth point tested, bone strength was as follows femur > tibia > humerus > 4 metacarpal> 3 metacarpal> 3 metatarsal > 4 metatarsal > rib> fibula. The rate of increase in strength of all examined bones was greater than the rate of weight gain of pigs (value of the coefficient b = 2.04–3.26). As the animals grew, the bone density increased. However, the growth rate of this indicator for the majority of bones was slower than the rate of weight gain (the value of the coefficient b ranged from 0.37 – humerus to 0.84 – fibula). The exception was the rib, whose density increased at a similar pace increasing the body weight of animals (value of the coefficient b = 0.97). The study on the influence of the breed and the feeding intensity on bone characteristics (physical and biomechanical) was performed on pigs of the breeds Duroc, Pietrain, and synthetic 990 during a growth period of 15 to 70 kg body weight. Animals were fed ad libitum or dosed system. After slaughter at a body weight of 70 kg, three bones were taken from the right half-carcass: femur, three metatarsal, and three metacarpal and subjected to the determinations described in the methodology. The weight of bones of animals fed aa libitum was significantly lower than in pigs fed restrictively All bones of Duroc breed were significantly heavier and longer than Pietrain and 990 pig bones. The average values of bending force for the examined bones took the following order: III metatarsal bone (63.5 kg) <III metacarpal bone (77.9 kg) <femur (271.5 kg). The feeding system and breed of pigs had no significant effect on the value of this indicator. The average values of the bones strength took the following order: III metatarsal bone (92.6 kg) <III metacarpal (107.2 kg) <femur (353.1 kg). Feeding intensity and breed of animals had no significant effect on the value of this feature of the bones tested. The average bone density took the following order: femur (1.23 g/cm3) <III metatarsal bone (1.26 g/cm3) <III metacarpal bone (1.34 g / cm3). The density of bones of animals fed aa libitum was higher (P<0.01) than in animals fed with a dosing system. The density of examined bones within the breeds took the following order: Pietrain race> line 990> Duroc race. The differences between the “extreme” breeds were: 7.2% (III metatarsal bone), 8.3% (III metacarpal bone), 8.4% (femur). Abstract 13 The average bone stiffness took the following order: III metatarsal bone (35.1 kg/mm) <III metacarpus (41.5 kg/mm) <femur (60.5 kg/mm). This indicator did not differ between the groups of pigs fed at different intensity, except for the metacarpal bone, which was more stiffer in pigs fed aa libitum (P<0.05). The femur of animals fed ad libitum showed a tendency (P<0.09) to be more stiffer and a force of 4.5 kg required for its displacement by 1 mm. Breed differences in stiffness were found for the femur (P <0.05) and III metacarpal bone (P <0.05). For femur, the highest value of this indicator was found in Pietrain pigs (64.5 kg/mm), lower in pigs of 990 line (61.6 kg/mm) and the lowest in Duroc pigs (55.3 kg/mm). In turn, the 3rd metacarpal bone of Duroc and Pietrain pigs had similar stiffness (39.0 and 40.0 kg/mm respectively) and was smaller than that of line 990 pigs (45.4 kg/mm). The thickness of the cortical bone layer took the following order: III metatarsal bone (2.25 mm) <III metacarpal bone (2.41 mm) <femur (5.12 mm). The feeding system did not affect this indicator. Breed differences (P <0.05) for this trait were found only for the femur bone: Duroc (5.42 mm)> line 990 (5.13 mm)> Pietrain (4.81 mm). The cross sectional area of the examined bones was arranged in the following order: III metatarsal bone (84 mm2) <III metacarpal bone (90 mm2) <femur (286 mm2). The feeding system had no effect on the value of this bone trait, with the exception of the femur, which in animals fed the dosing system was 4.7% higher (P<0.05) than in pigs fed ad libitum. Breed differences (P<0.01) in the coross sectional area were found only in femur and III metatarsal bone. The value of this indicator was the highest in Duroc pigs, lower in 990 animals and the lowest in Pietrain pigs. The cortical index of individual bones was in the following order: III metatarsal bone (31.86) <III metacarpal bone (33.86) <femur (44.75). However, its value did not significantly depend on the intensity of feeding or the breed of pigs.
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