Comparison of the rates of proliferation of adipocyte precursor cells derived from two lines of chicken which differ in their rates of adipose tissue development

1. Putative adipocyte precursor cells were isolated from the white adipose tissue of young broiler and layer chickens and cultured in vitro.

2. The cells from both sources were shown to have the characteristics of adipocyte precursor cells. On reaching confluence, lipoprotein lipase activity was induced and the cells from both strains accumulated large amounts of lipid in the presence of chicken serum.

3. Measurement of cell number over time in culture and calculation of cell doubling times showed that cells from broilers proliferated at a faster rate than those derived from layer‐strain chickens. This was the case whether primary or secondary cell cultures were used. Primary cultures of broiler cells had a doubling time of 22 h versus 39 h for layer cells.

4. The contribution of such a difference in proliferative rate to the differential rate of adipose tissue growth between broiler and layer strains observed in vivo is discussed.     

Evaluation of an in-office allergy screening test in nonatopic dogs having various intestinal parasites

An in-office allergy screening kit was evaluated in 10 dogs that had no clinical signs of atopy but had various intestinal parasites. All 10 dogs had a positive reaction to the dust mite Dermatophagoïdes farinae, and four dogs had positive reactions to at least one other group of allergens. The kit as presently marketed gives numerous false positive results in parasitized nonatopic dogs.     

Breed differences and intra-breed genetic variability of dermatoglyphic pattern of cattle

SUMMARY: Muzzle dermatoglyphics - n. ridges, granula and vibrissae - were analysed in various breeds. Differences among these in most traits were significant. Herd effects accounted for about 1/10 of the variance and heritability, estimated by combining sib, halfsib and dam-daughter correlations corrected for herd differences was above 50% for ridges and vibrissae and about 30% for granula. Genetic correlations between ridge counts and n. vibrissae in different nose fields, respectively, were high as they were between the former and n. granula but they were negative or very low between vibrissae and the other two traits. Asymmetry among the counts in the two muzzle sides was significant for nearly all traits, Heritabilities were low, around 10 to 20%, and the crossbreds had less asymmetry than their parental breeds. The correlations among asymmetry measures were low. ZUSAMMENFASSUNG: Rassenunterschiede und genetische Variabilit?t von Flotzmaulmustern Flotzmaulmerkmale - Zahl von Leisten, Warzen und Haaren - wurden in verschiedenen Rassen untersucht. Unterschiede zwischen diesen waren für alle Merkmale signifikant. Herdeneinflüsse verursachten etwa 1/10 der Varianz und Heritabilit?tswerte, gesch?tzt aus Korrelationen zwischen Zwillingen, Halbgeschwistern und T?chter-Müttern, korrigien für Herdeneinflüsse, variierten zwischen 36 und mehr als 50%. Genetische Korrelationen zwischen Leistenzahl und Zahl von Haaren in verschiedenen Flotzmaulfeldern waren hoch, ebenso wie die zwischen ersteren und Zahl von Warzen, aber sie waren negativ oder sehr gering zwischen Haaren und den andern beiden Merkmalen. Asymmetrie zwischen Zahlen in beiden Flotzmaulh?lften war signifikant für fast alle Merkmale. Heritabilit?tswerte waren niedrig, etwa 10-20% und Kreuzungstiere zeigten weniger Asymmetrie als ihre Herkunftsrassen. Die Korrelationen zwischen Asymmetriema?en waren niedrig.     

Genetic study of fertility traits and production in different parities in Italian Friesian cattle

ZUSAMMENFASSUNG: Genetische Analyse von Fruchtbarkeits- und Produktionsmerkmalen bei italienischen Schwarzbunten in verschiedenen Laktationen Produktions- und Reproduktionsdaten von italienischen Schwarzbunten sind für die Analyse von Wechselbeziehungen zwischen den Merkmalen Zwischentragzeit, Rastzeit, Tr?chtigkeitsrate bei Erstbesamung, Anzahl von Besamungen je Tr?chtigkeit einerseits und der 305 Tage Milchleistung andererseits verwendet worden. Die Milchleistung der Kühe wurde für Laktationsnummer, Kalbealter und Zwischentragezeit korrigiert. Die Analyse wurde für die ersten drei Abkalbungen getrennt durchgeführt. Die Sch?tzwerte für die Heritabilit?t liegen für die Fruchtbarkeitsmerkmale zwischen .01 und .03 und für die Milchleistungsmerkmale zwischen .16 und .22. Für die Wiederholbarkeiten wurden Werte zwischen .02 und .08 (Fruchtbarkeit) bzw. .49 und .59 (Milchleistung) gesch?tzt. Die genetische Korrelation zwischen Milchmenge und Zwischentragezeit, zwischen Milchmenge und Rastzeit sowie zwischen Tr?chtigkeitsrate bei Erstbesamung und Anzahl Besamungen je Tr?chtigkeit betr?gt .70, .92 und -.98, resp. Zwischen Fruchtbarkeits- und Milchleistungsmerkmalen wurden generell negative Korrelationen gesch?tzt, was als Antagonismus zwischen Fruchtbarkeit und Milchleistung interpretiert werden mu?. Dies bedeutet, da? bei ausschlie?licher Selektion nach Milchleistung negative Auswirkungen bezüglich der Fruchtbarkeit der Kühe zu erwarten sind. Als m?gliche Selektionsmerkmale für die Zuchtwertsch?tzung auf Fruchtbarkeit werden Tr?chtigkeitsrate bei Erstbesamung und Rastzeit (oder alternativ Anzahl Besamungen je Tr?chtigkeit) vorgeschlagen. SUMMARY: A data set of production records with breeding information was used to analyse the relationship between open period, days to first breeding, conception rate at first service, number of services per conception and 305 day milk yield adjusted for age/month of calving and open period in the Italian Friesian Cattle Breed. Separate analyses were performed for the first three parities. Heritability estimates for reproductive traits varied from .01 to .03 and for productive traits from .16 to .22 depending on parities. Repeatabilities for fertility traits were .02 to .08 while for milk yield they were between .49 and .59. Open period and days to first service were found to be highly correlated (genetic correlation: +.70 / +.92) as were conception rate at first service and number of services per conception (-.98). An antagonistic genetic relationship was found between all reproductive traits considered and production. The magnitude of the antagonistic genetic association between production and fertility indicate that genetic deterioration of fertility is to be expected if selection pressure continues to be applied to milk production only. For multiple trait selection, the reproductive measures which complement each other are days to first service and first service conception rate (or number of services per conception).     

The pharmacokinetics of thiamphenicol in lactating cows

The pharmacokinetics of thiamphenicol were studied after intravenous and intramuscular administration of 25 mg/kg body weight in lactating cows. Distribution (t _1/2) and elimination (t _1/2) half-lives of 6.10±1.39 min and 1.60±0.30 h, respectively, were obtained after intravenous administration. The body clearance was 3.9±0.077 ml/kg per min and the apparent volume of distribution was 1220.79±256.67 ml/kg. The rate at which thiamphenicol appeared in the milk, as indicated by the penetration half-life (t _1/2P) (serum to quarters), was found to be 36.89±11.14 min. The equivalent elimination half-life (t _1/2E) (quarters to serum) from the milk was 3.62±1.06 h and the peak thiamphenicol concentration in the milk was 23.09±3.42 µg/ml at 2.5±0.32 h.After intramuscular injection, the elimination half-life was 2.2±0.40 h, the absorption half-life was 4.02±1.72 min and the peak concentration in the serum was 30.90±5.24 µg/ml at 23±8.4 min. The bioavailability after intramuscular administration approached 100%. The penetration half-life was 50.59±6.87 min, the elimination half-life was 5.91±4.97 h and the mean peak concentration in the milk was 17.37±2.20 µg/ml at 3.4±0.22 h.Abbreviations AUC area under the concentration-time curve - CAP chloramphenicol - C _max peak concentration - IM intramuscular - IV intravenous - TAP thiamphenicol - t _1/2 distribution half-life - t _1/2 elimination half-life - V _c volume of central compartment - V _d volume of distribution