Comparative responses of genetically lean and fat chickens to lysine,arginine and non‐essential amino acid supply. I. growth and body composition

1. Three experiments were performed to study the effects of amino acid imbalance on the growth of genetically lean (LL) or fat (FL) male chickens from 28 to 42 d of age. In experiment 1, five concentrations of digestible lysine were compared (4.75, 6.75, 7.75, 8.75 and 9.75 g/kg). In experiment 2, four concentrations of digestible arginine were compared (6.53, 7.69, 8.84 and 10.0 g/kg). In experiment 3, three diets were compared: a high‐protein diet (189 g CP/kg), a low‐protein diet containing added essential amino acids (EAA) (144 g CP/kg) and this low‐protein diet supplemented with 40 g/kg of non‐essential amino acids (NEAA) (glutamic acid + aspartic acid).

2. LL birds exhibited a lower growth rate than the FL when the diet was deficient in either lysine or arginine. Plotting weight gain against lysine or arginine intake suggested that most of this effect was caused by variations in food intake.

3. When protein gains (body or total proteins) were plotted against lysine or arginine intake, LL chickens appeared more efficient than FL chickens.

4. Similar growth rates, although slightly lower in FL, were obtained with low‐ and high‐protein diets. However, NEAA supplementation of the low‐protein diet reduced adiposity of LL and did not modify that of FL. Increasing crude protein content (all amino acids) was more effective than NEAA supplementation in decreasing the adiposity of both lines.     

Simulating the adsorption of alkanes in zeolites

The configurational-bias Monte Carlo technique is applied to simulate the adsorption of long chain alkanes in zeolites. This simulation technique is several orders of magnitude more efficient than conventional methods that can be used to simulate the adsorption of long chain alkanes. The calculated heats of adsorption are found to be in excellent agreement with experimental data. The results show a surprising chain length dependence of the heats of adsorption. This dependence has a simple molecular explanation in terms of preferential siting of the long chain alkanes.     

The effect of intra-ruminal selenium pellets on growth rate, lactation and reproductive efficiency in dairy cattle

In each of two dairy herds (A and B), rising yearling heifers (Trial 1) and adult cows (Trial 2) were assigned to three treatment groups. Untreated animals were compared to animals treated with either two or four intra-ruminal pellets containing 3 g of elemental selenium. The administration of pellets at the recommended dose (two pellets per animal) was effective in elevating whole blood glutathione peroxidase activity and selenium concentration to over 10 times those of control animals. In Trial 1, a 15% response in liveweight gain (p<0.001) occurred in yearling heifers in the herd with the lowest pre-treatment selenium status. In Trial 2, cows receiving two pellets produced a greater milk volume (p=0.06) and more milk solids (p=0.02) than untreated controls; an increase in volume of 5.4% and 8%, and in milk solids of 6.5% and 6.4%, were noted in herds A and B respectively. There was a trend towards decreasing somatic cell counts in milk from the treated cows when compared to controls, the four-pellet group in Herd A and the two-pellet group in Herd B being significantly different from their respective control group. No between-group differences were noted in calving-first service or calving-conception intervals, nor in the proportion of animals pregnant to first or all services. The administration of selenium at twice the recommended dose rate yielded no additional response above that noted after the administration of the recommended dose. The results of this study support the use of currently recommended Ministry of Agriculture and Fisheries selenium reference ranges in cattle for the prediction of a response to supplementation.     

Implications of using an average relationship matrix in genetic evaluation for a population using multiple-sire matings

SUMMARY: Ambiguous paternity can be incorporated into the mixed model equations (MME) by including the average numerator relatinship matrix (average A), which averages the true sire-offspring relationship over the putative sires. A previous study has shown that some overestimation of genetic trend results from this substitution. A population of 40 breeding females and 2 breeding males was simulated 1,000 times with either random mating or sequential selection continuing for 8 breeding cycles. In the selection case candidates were ranked on estimated breeding values (EBVs) calculated from the MME with an animal model and the average A. Variances of the EBVs and prediction errors were computed. The results showed the average A incorrectly perceives both the variance of family sizes among males and the variance loss due to selection to be smaller. This will lead to an overestimation of genetic trend. ZUSAMMENFASSUNG: Folgerungen aus der Anwendung einer durchschnittlichen Verwandtschaftsmatrix bei der Zuchtwertsch?tzung für eine Population mit mehreren V?tern in einer Paarungsgruppe In den Mischmodellgleichungen kann eine unklare v?terliche Abstammung durch die Verwendung einer durchschnittlichen Verwandtschaftsmatrix, die die Abstammung zu gleichen Teilen über die m?glichen V?ter aufteilt, berücksichtigt werden. Eine frühere Arbeit hat gezeigt, da? diese Ma?nahme zu einer gewissen übersch?tzung des genetischen Fortschritts führt. Eine Population mit 40 weiblichen und 2 m?nnlichen Tieren wurde 1000mal über 8 Paarungsperioden simuliert und zwar mit und ohne gerichteter Selektion. Im Falle der Selektion wurden die Tiere aufgrund der mit einem Tiermodell und der durchschnittlichen Verwandtschaftsmatrix gesch?tzten Zuchtwerte geordnet. Die Varianzen der Zuchtwerte und der Sch?tzfehler wurden berechnet. Die Ergebnisse zeigen, da? durch eine durch-schnittliche Verwandtschaftsmatrix die Varianz der Gr??e der Nachkommensgruppen der V?ter und der Verlust an genetischer Varianz aufgrund der Selektion untersch?tzt wird. Dies führt zu einer übersch?tzung des genetischen Fortschritts.     

Variation of the growth hormone gene in ryr 1 genotyped Austrian pig breeds

SUMMARY: Polymorphism in the second intron of the porcine growth hormone gene of 273 Austrian Landrace and 81 Austrian Edelschwein pigs was investigated with a PCR-RFLP-technique. Results showed significantly different genotype patterns between the two breeds. The frequency of the Hae II(-) allele was significantly (P < 0,001) higher in the landrace than in the Edelschwein population (0,83 and 0,47 resp.). The Msp I(+) allele was predominant in both breeds but signifanctly higher in the Landrace (0,98 versus 0,69; P < 0,01). Analyses the Hae II/Msp I locus combination revealed also in breed specific difference. In the Landrace a very low interaction was found between the Hae II and ryr 1 locus, and between Msp I and ryr 1 locus (c. c. = 0,181 and 0,186 resp.). The correlation was slightly stronger (c. c. = 0,266) between the ryr 1 and Hae II/Msp I genotypes. No correlation was detected among the three loci in the Edelschwein population. ZUSAMMENFASSUNG: Variabilit?t des Somatotropin Gens in ?sterreichischen Schweinerassen genotypisiert hinsicbtlich ryr 1 An 273 ?sterreichischen Landrasse Schweinen und 81 ?sterreichischen Edelschweinen wurde der Polymorphismus am zweiten Intron des Schweinewachstumshormons mittels PCR-RFLP-Technik untersucht. Genotypen-und Genfrequenzen waren zwischen den beiden Rassen signifikant verschie- den. Die Hae II(-) Allelfrequenz war bei den Landrassetieren signifikant h?her (P < 0,001) als bei den Edelschweinen (0,83 bzw. 0,47). In beiden Rassen überwiegte das Msp I(+) Allel, das aber signifikant ?fters bei der Landrasse auftrat (0,98 bzw. 0,69; P < 0,01). Die Verteilung der Locuskombination von Hae II/Msp I zwischen den beiden Rassen war ebenfalls unterschiedlich. Bei der Landrasse konnte nur ein sehr geringer Zusammenhang zwischen dem Hae II und ryr 1 Locus (c. c. = 0,181 bzw. 0,186) und auch zwischen dem Msp I und ryr 1 Locus festgestellt werden. Die Korrelation zwischen dem ryr 1 und Hae II/Msp I Genotyp war geringfügig gr??;er (c. c. = 0,266). Bei den Edelschweinen konnte kein Zusammenhang zwischen den drei untersuchten Loci festgestellt werden.