Modeling of Parameters Affecting Phytate Phosphorus Bioavailability in Growing Birds

The current study was undertaken to establish a population from an unselected random-mating chicken population for the development of a model to predict factors that affect phytate P utilization in growing birds. A population was established from a mating of 40 male and 200 female chickens from the Athens Canadian randombred population. At 4 wk of age, birds were housed in individual metabolic cages and fed a diet containing 1.06% Ca, 0.35% total P, and 0.03% available P. After 3 d of acclimatization, feed consumption (FC) was measured and excreta produced in 3 consecutive d were collected. Individual 4-wk BW, BW gain (BWG), phytate P intake (PPI), inorganic P intake (IPI), Ca intake (CaI), N intake (NI), and energy intake (EI) during the 3 d excreta collection period were also measured. Feed conversion ratios (FCR) and relative growth rate were calculated. Phytate P bioavailability (PPB), Ca bioavailability (CaB), and N bioavailability (NB) were estimated from the disappearance of the nutrients during the passage of feed through the gastrointestinal tract. Energy bioavailability (EB) was measured by bomb calorimetry as the difference in the gross energy of the feed and the energy of the excreta. The major factors affecting PPB were CaB and EB for both sexes. In the males, BW contributed significantly to PPB. However, in the females, NB also contributed significantly to PPB. Faster growing birds tended to have a reduced retention time of feed compared with slow growing birds, and as a result utilized phytate P less. Birds that are able to utilize phytate P better are putatively able to release P for energy utilization. Therefore, the birds that were able to utilize phytate P better were also better energy utilizers.

Genetics of phytate phosphorus bioavailability: heritability and genetic correlations with growth and feed utilization traits in a randombred chicken population

The current study was undertaken to estimate variance components for phytate P bioavailability (PBA) and the genetic correlations among PBA with growth and feed utilization (or intake) traits in an unselected random mating chicken population. Pedigreed data from 901 Athens-Canadian randombred chickens hatched from 26 sires, 71 dams, and 105 grandparents were used for estimation of genetic parameters. Birds were individually housed in metabolic cages at 4 wk of age and fed a 0.35% P diet. After 3 d of acclimatization, excreta produced for 3 consecutive d were collected and feed consumed (FC) was measured. Individual 4-wk BW and BW gain (BWG) during the 3-d excreta collection period were also measured. Feed conversion ratios (FCR) were calculated. Phytate P bioavailability was estimated from the disappearance of phytate during the passage of feed through the gastrointestinal tract. The restricted maximum likelihood method with the average information matrix algorithm was used for the estimation of variance components. The heritability estimate for PBA was about 0.10. Genetic correlations between PBA and BW, BWG, and FC were moderate and negative, indicating that improving PBA utilization would moderately affect growth. The genetic correlation between PBA and FCR was negligible and suggested that selection for PBA will not adversely affect FCR. The economic implications of genetically modifying poultry to improving phytate P utilization and the subsequent elimination or reduction of the amount of phytase used in poultry diets are yet to be determined.

The dynamics of the genotype-phenotype association

The integrity of an organism is maintained by networks of interacting genes. Such networks predict that genetic variants affect phenotypes in a nonadditive fashion. That is, the effect of an allelic variation in one gene is dependent on the variations in other genes. We summarize the analyses of a series of genes in a White Leghorn strain that support the existence of such gene networks: 1) genes are pleiotropic, 2) genes affect trait correlations, 3) genes affect trait distributions in a nonadditive fashion, 4) genes interact with each other, and 5) genes are at linkage disequilibrium, even when located on different chromosomes. The latter observation indicated that certain gene combinations lead to reduced reproductive fitness. Each candidate genes we analyzed segregated for multiple alleles that affected production traits. This finding was surprising, even for a strain with a large effective population size. The shapes of trait distributions appear to be a better descriptor of gene effects than measures of central tendency. Despite this complexity, it is feasible to conduct DNA-based selection, starting from any of several different genes that affect a trait. Gene networks may be altered in many different ways to improve a particular phenotype, but networks may differ in their effects on other traits.

Systems-wide chicken DNA microarrays, gene expression profiling, and discovery of functional genes

The goal of our current consortium project is to launch a new era--functional genomics of poultry--by providing genomic resources [expressed sequence tags (EST) and DNA microarrays] and by examining global gene expression in target tissues of chickens. DNA microarray analysis has been a fruitful strategy for the identification of functional genes in several model organisms (i.e., human, rodents, fruit fly, etc.). We have constructed and normalized five tissue-specific or multiple-tissue chicken cDNA libraries [liver, fat, breast, and leg muscle/epiphyseal growth plate, pituitary/hypothalamus/pineal, and reproductive tract (oviduct/ovary/testes)] for high-throughput DNA sequencing of EST. DNA sequence clustering was used to build contigs of overlapping sequence and to identify unique, non-redundant EST clones (unigenes), which permitted printing of systems-wide chicken DNA microarrays. One of the most promising genetic resources for gene exploration and functional gene mapping is provided by two sets of experimental lines of broiler-type chickens developed at INRA, France, by divergent selection for extremes in growth traits (fast-growing versus slow-growing; fatness versus leanness at a similar growth rate). We are using DNA microarrays for global gene expression profiling to identify candidate genes and to map growth, metabolic, and regulatory pathways that control important production traits. Candidate genes will be used for functional gene mapping and QTL analysis of F2 progeny from intercrosses made between divergent genetic lines (fat x lean lines; fast-growing x slow-growing lines). Using our first chicken liver microarray, we have already identified several interesting differentially expressed genes in commercial broilers and in divergently selected broiler lines. Many of these candidate genes are involved in the lipogenic pathway and are controlled in part by the thyrotropic axis. Thus, genome-wide transcriptional profiling is a powerful tool used to visualize the cascade of genetic circuits that govern complex biological responses. Global gene expression profiling and QTL scans should enable us to functionally map the genetic pathways that control growth, development, and metabolism of chickens. This emerging technology will have broad applications for poultry breeding programs (i.e., use of molecular markers) and for future production systems (i.e., the health and welfare of birds and the quality of poultry products).

Effect of long-term divergent selection on growth characteristics in Japanese quail

The current study was undertaken to examine the effect of long-term selection for 4-wk BW on growth characteristics in divergent lines of Japanese quail and their control. Growth rate was significantly higher in males than females in all the lines. There was a significant increase in growth rate of the females selected for increased 4-wk BW over the control females, as well as a significant decline in growth rate of males selected for decreased 4-wk BW compared to their control counterparts. It appeared that selection for increased 4-wk BW did not alter the rate of growth in the males compared to the control males; however, in the females, selection for increased 4-wk BW resulted in an increase in growth rate. On the other hand, selection for decreased 4-wk BW resulted in a decline in growth rate in males but not in the females. The dynamics of the growth curve parameters indicate that selection for decreased 4-wk BW shifted the growth curve for females as well as altering the trajectories of growth in both sexes. However, selection for increased 4-wk BW only resulted in altering the trajectory of growth in the males. Long-term selection resulted in asymmetry of response in the low and high lines. In addition, different genes may respond differently to the same selection pressure in opposite directions. The use of the 4-parameter Richards model to analyze growth data from such an experiment provided a better understanding of how selection can alter the rate and trajectory of growth to affect the genetically determined growth potential of quail. Consequently selection for increased or decreased 4-wk BW affected the sexes differently.

Power of two methods for the estimation of bone ash of broilers

An experiment was conducted to compare two common methods of estimating bone ash from growing broiler chicks (A = autoclaving; B = boiling/extracting). Ross x Ross 1-d-old broiler chicks were fed a corn-soy, phosphorus-deficient diet (22.7% CP, 1% calcium, 0.22% non-phytate phosphorus), with 0, 750, 1,500, 3,000, or 6,000 units of phytase (FTU) to produce bones with a range of ash. The methods were compared with bones from chicks at 7, 14, and 21 d of age. Left legs were used for method B, and right legs were used for method A. Data was analyzed by the general linear models procedure of SAS software, and differences between means were detected using the Duncan's new multiple range test at the 0.05 level. Variance estimates were the mean square errors (from SAS outputs). Sample sizes needed to detect a 2% difference in bone ash were calculated using the method of Zar. The addition of 6,000 FTU/kg increased tibia ash from 26 to 37%, 29 to 41%, and 33 to 43% on Days 7, 14 and 21, respectively (method B). With bones from 7-d-old chicks, the same number of samples was necessary to detect a 2% difference using methods A and B. With bones from 14- and 21-d-old chicks, approximately 50 and 150% more samples were necessary, respectively, using method A. The autoclaving method is less labor-intensive and requires no toxic solvents, but for older birds, many more samples or replications are needed to detect the same treatment differences.

Comparison of three nonlinear and spline regression models for describing chicken growth curves

This study compared three non-linear growth models (Richards, Gompertz, and logistic) and the spline linear regression model using BW measurements from an unselected, randombred chicken population. Based on the goodness of fit criteria, the nonlinear models (NLM) fitted the data better than the spline regression model. The four-parameter Richards model was expected to have the best overall fit; however, because the shape parameter predicted was close to 1.0, which corresponded with the Gompertz curve, there were no differences between the Richards and Gompertz models for the data used. The growth parameters predicted with the logistic model were different from those predicted by the Richards and Gompertz models. It was concluded that growth parameters predicted with different models with fixed inflection points are not directly comparable. The spline linear regression model is a compound function consisting of a series of linear models. It can be used to compartmentalize growth into segments and also substitute as an alternative to asymptotic models when the data are truncated before the asymptote is attained. The relationship between the growth trajectory (m) and carcass composition measurements were also investigated. Carcass yields among the different growth trajectories (m) were similar within sexes. However, the proportions of the major breast muscle and abdominal fat differed according to the m a bird followed.

Analysis of censored survival data in Japanese quail divergently selected for growth and their control

The aim of the current study was to characterize and quantify risk factors involved in juvenile mortality in divergently selected and control lines of Japanese quail. Survival analysis and Cox proportional hazards regression were used to describe mortality in the three experimental lines with hatch weight and posthatch BW evaluated as risk factors. Survival function distribution indicated that the proportional mortality was highest in the line selected for high 4-wk BW compared to the low and control lines. In all the experimental lines mortality declined when posthatch BW increased; however, the magnitude of reduction was highest in the control line compared to the divergently selected lines (57 vs. 22%). Any factor that influences growth after hatching may likely have a direct impact on mortality. Lack of accessibility to water, feed, warmth, and potential negative social interaction are factors that could affect mortality immediately after hatch. The posthatch BW at time of mortality used as a risk factor indicated that the divergently selected lines have about the same risk and are less sensitive to reduced BW compared to the control population. Through survival analysis, the present study has demonstrated that factors causing reduction in posthatch BW are likely risk factors for mortality in growing birds.

Monitoring Mycoplasma gallisepticum and Mycoplasma synoviae infection in breeder chickens after treatment with enrofloxacin

Three experimental strains of breeder chickens were accidentally exposed to Mycoplasma gallisepticum (MG) and Mycoplasma synoviae (MS), presumably from a newly introduced group of leghorn-type pullets. The experimental strains subsequently became infected and were diagnosed positive for MG and MS by the serum plate agglutination (SPA) test and confirmed by the hemagglutination inhibition (HI) test and the polymerase chain reaction (PCR) of tracheal swabs. Treatment with 10 mg/kg enrofloxacin via drinking water for 14 days was elected. Before and after initiation of treatment, MG and MS were monitored for changes by SPA, HI, PCR, and culture, with sampling intervals ranging from 1 wk to 7 wk. MG and MS SPA, HI, PCR, and culture were performed at each sampling period, with the exception of weeks 1.0 and 6.5. Week 1.0 included SPA and His for MG and MS. Week 6.5 included PCR and culture for MG and MS. The MG and MS SPA results were positive throughout the 29-wk trial period. MG HI titers declined until the last sampling, whereas the MS HI titers did not decline significantly. PCR for MG yielded only one positive result, which occurred before treatment. MS PCR remained positive throughout the trial period. MG was never isolated from any sample; however, one MS organism was isolated during treatment. The treatment regimen was effective for MG on the basis of PCR results. Treatment with enrofloxacin did not eliminate SPA reactions during the 29-wk trial period. MG HI titers remained in the suspicious range throughout the remainder of the trial period. Four weeks after the treatment ended, MG HIs were reduced by approximately 40%, with MS HIs remaining high throughout the 29-wk period. PCR appeared to be a sensitive and specific test on the basis of correlation with HIs. On the basis of the isolation of MS during treatment and continued subsequent PCR positive reactions, the treatment for MS with enrofloxacin was not as efficacious as for MG.

Trait association of a genetic marker near the IGF-I gene in egg-laying chickens

The insulin-like growth factor I (IGF-I) gene was screened for genetic variants associated with trait means and trait correlations. Analysis of an unselected randomly mated White Leghorn population revealed a PstI restriction fragment length polymorphism (RFLP) in the 5' region of the gene which segregated at a frequency of 0.83 for the PstI(+) allele (presence of a PstI restriction site). A comparison of the three genotypic classes revealed that the PstI(-/-) genotype was associated with a significantly lower egg weight measured in three different time periods, while the PstI(+/-) genotype was significantly associated with a higher eggshell weight estimated from the egg weight and egg specific gravity. For eggshell weight, the effect was age dependent and significant only for the last two periods of egg laying. No genotype associations were found for body weight, feed consumption, and egg laying rates. Significant dominance effects of the IGF-I genotype were observed for two of the egg weight measurements and three of the eggshell weight estimates. Partial correlation analyses in the two most frequent genotypic classes, PstI(+/+) and PstI(+/-), revealed the presence of a regulatory loop between feed consumption, body weight, egg weight, and the rate of egg laying. Several aspects of this regulatory loop were different between the two genotypic classes. In particular, for the PstI(+/+) genotype, feed consumption was positively associated with egg weight, while there was no significant association for the PstI(+/-) genotype. Further, the degree of association of body weight with egg weight decreased with age in the genotypic class PstI(+/-), while it was constant for the PstI(+/+) genotype. The results indicated that the marker in the IGF-I gene was not only associated with changes in some trait means, but also with changes in the stability of the coordination between feed intake, body weight, and egg production traits.

Markers within the regulatory region of the growth hormone receptor gene and their association with milk-related traits in Holsteins

We studied sequence variations in the regulatory region of the bovine growth hormone receptor gene. A polymerase chain reaction (PCR)-based method for detecting AluI, AccI, and StuI restriction fragment length polymorphisms (RFLPs) in the 5' flanking region of the bovine growth hormone receptor gene was developed and tested for association with milk-related traits in Holstein bulls. Allele frequencies of the polymorphisms in two groups of Holstein progeny-tested bulls born from 1950 to 1970 and in the 1980s, respectively, were estimated. The allele frequency of the AluI(-) allele was 0.63 and 0.42 in the bulls from 1950 to 1970 and in the 1980s, respectively. The frequency of the StuI(-) allele was 0.14 and 0.07 in the two respective bull groups. Allele frequency for AccI(-) allele was about 0.22 in both bull groups. The differences in allele frequencies for the AluI polymorphism in the two bull groups were significantly different (P < or = .005). The AluI(+/+) bulls had a higher estimated breeding value (EBV) for fat (P < or = .016) than AluI(-/-) bulls. The average effect of allele substitution for the AluI polymorphism was +/- 8 for fat EBV. The AluI polymorphism could be further evaluated for use in marker-assisted selection in dairy cattle.

Mitochondrial PEPCK: a highly polymorphic gene with alleles co-selected with Marek's disease resistance in chickens

The gene coding for the mitochondrial phosphoenolpyruvate carboxykinase (PEPCK-M), a pivotal component in gluconeogenesis from lactate via the Cori cycle, was highly polymorphic in strains of egg-type chickens (White Leghorn) of different origins. Based on MspI restriction fragment polymorphisms a total of seven alleles could be distinguished. The allele frequencies were determined in six pairs of strains derived from different genetic base populations. Each pair consisted of two strains which differed in their susceptibility to Marek's disease (MD), a virus-induced neoplastic disease. The frequency of the most common haplotype (M2) was consistently higher in the susceptible strains than in the corresponding resistant strains (P < 0.05, Wilcoxon signed-ranks test), indicating that the observed differences were not due to random genetic drift. This result suggests that PEPCK-M may be a candidate gene which contains genetic variants affecting MD susceptibility. Variations in gluconeogenesis may affect the interplay between proliferation of neoplasia and host metabolism.

A genetic marker in the growth hormone receptor gene associated with body weight in chickens

A genomic clone spanning 16 kb of the GH receptor gene was mapped and used as a probe for identifying restriction fragment length polymorphisms (RFLPs) in chickens. Several strains of meat-type and egg laying chickens were found to segregate for an HindIII RFLP located in the intron preceding exon 4. The polymorphic HindIII site overlapped with a poly(A) signal. Association of the HindIII RFLP with traits was analyzed in a random-bred White Leghorn strain in three generations using either selective or random genotyping. Both methods revealed significant association of the HindIII+ allele (presence of the poly(A) signal) with an increased juvenile body weight (130 days of age). In two meat-type strains divergently selected for size of the abdominal fat pad, the HindIII+ allele was coselected with leanness. The results indicate the presence of a genetic variant of the GH receptor gene which affects growth and abdominal fat deposition and which is relatively frequent in egg laying as well as in meat-type chickens.

Evidence for a genetic variation in the mitochondrial genome affecting traits in White Leghorn chickens

A mitochondrial Mspl RFLP which was coselected with Marek's disease (MD) resistance in White Leghorn chickens was mapped to the NADH subunit IV. The RFLP was due to a transition, resulting in the change of the low-usage threonine triplet ACT (Mspl- allele) to the high usage triplet ACC (Mspl+ allele). Trait association studies within an unselected strain revealed that the Mspl- allele whose frequency was reduced in MD resistant strains was associated with high body weight and high egg specific gravity (a measure of eggshell thickness). Analysis at three different time points indicated a significant interaction between the mitochondrial genotype and the growth hormone genotype in early but not in late adulthood. The analysis indicates that mitochondrial variants may contribute to phenotypic variation in chickens and that such contributions may be dependent on the genetic background.

Restriction fragment length polymorphisms at the ornithine decarboxylase locus associated with milk protein yield in Holsteins

Marker-assisted selection may provide the opportunity to make significant genetic gains in the improvement of economically important traits in livestock (Soller & Beckmann, 1983; Smith & Simpson, 1986). Implementation of this approach will first require identification of candidate genes or anonymous gene markers associated with the traits of interest. Candidate genes are those with a known relationship between physiological or biochemical processes and an economically important trait. In dairy cattle, genes associated with mammary gland growth, development and function are excellent candidate genes for milk production traits.

The polyamines are low molecular mass polycations that influence cell proliferation and growth (Tabor & Tabor, 1984; Pegg, 1986). Ornithine decarboxylase (ODC, EC 4.1.1.17) catalyses the conversion of ornithine to putrescine, the rate-limiting step in polyamine biosynthesis (Pegg, 1986). The level of ODC is induced in quiescent cells exposed to a wide variety of stimuli such as growth hormone, corticosteroids, testosterone and growth factors (Tabor & Tabor, 1984). There is ample evidence that growth factors influence morphogenesis and differentiation of the mammary gland (Imagawa et al. 1994). Trophic hormones that are associated with lactation, such as prolactin and growth hormone, are also required to induce differentiation of bovine mammary epithelial cells (Huynh et al. 1991; Flint & Gardner, 1994), and both mitogenic and lactogenic effects of prolactin, insulin and hydrocortisone appear to be mediated through the polyamine pathway (Rillema et al. 1977; Bedford & Zadworny, 1990; Golden & Rillema, 1993). Strange et al. (1992) have shown that ODC is involved in synthesis of a milk component; ODC has elevated expression in the lactating mammary gland, which declines sharply after weaning. It is therefore possible that particular variants of ODC could be associated with increased mammary gland function and thus influence milk related traits.

The objectives of the present study were to estimate allelic frequencies of ODC polymorphisms in Holstein bulls and to evaluate further the genotypic effects of ODC variants on milk production traits.

Association of endogenous viral genes with quantitative traits in chickens selected for high egg production and susceptibility or resistance to Marek's disease

1. The association of endogenous viral (ev) genes with quantitative traits in 2 genetically distinct sets of White Leghorn strains were investigated. Strain S had been selected for susceptibility to Marek's disease (MD) whereas strain K had been selected for resistance to MD and high egg production and egg weight. 2. In all, 8 ev genes were typed. Ev10, ev19 and 'newB' occurred exclusively in strain S, 'newA' occurred only in strain K, and ev1, ev3, ev6 and ev8 occurred in both strains. 3. Whereas ev6 and ev8 were associated with reduction in egg production rate in strain S, in strain K, the presence of ev3 was associated with increased group specific antigen. 4. The genetic background of the chicken strain may play a role in the way certain ev genes affect traits. 5. It was thought that the position of ev genes on the chromosome may be important and their association with traits of economic importance make them potential genetic markers for uncovering quantitative trait loci.

Bovine ornithine decarboxylase gene: cloning, structure and polymorphisms

Bovine ornithine decarboxylase (ODC) genomic clones were isolated from a bacteriophage lambda DASH genomic library. A total of 9452 bp sequence was determined which covers the entire sequence of the bovine ODC gene. Sequence analysis showed that the bovine ODC gene consisted of 12 exons which encode a protein identical to that inferred from a bovine ODC cDNA. Comparison of the structure and nucleotide sequence of the bovine, human and mouse ODC genes revealed that the gene was highly conserved. Primer extension analysis demonstrated that the transcription start point of bovine ODC mRNA was located 378 bp upstream from the A residue in the translation initiation codon. The 5'-untranslated region (UTR) of ODC mRNA was highly G + C rich, particularly in its 5'-most portion, and computer predictions suggested a very stable secondary structure for this region, with an overall free energy of formation of -134.4 kcal/mol. Conserved sequences and potential promoter elements including a TATA box, a possible CCAAT element, SP1 ranscription factor binding sites (GC boxes) and cAMP response elements (CRE) were identified in the 5'-flanking region of the gene. Two polymorphic restriction sites, a TaqI and a MspI, were mapped to the ODC gene and PCR-based methods for detection of the 2 polymorphisms were developed.

Trait association of genetic markers in the growth hormone and the growth hormone receptor gene in a White Leghorn strain

Alleles of the growth hormone (GH) gene and GH receptor (GHR) gene were analyzed for association with juvenile body weight (HBWT), age at first egg (AFE), the hen-day rate of egg production (HDR), egg specific gravity (SPG), and egg weight (EWT) in a strain of White Leghorns. The particular strain segregated at near equal frequencies for two GH alleles defined by differences at three restriction fragment length polymorphisms (RFLP) and for two GHR alleles defined by a single RFLP. The GH genotype was significantly associated with AFE (P < or = 0.04) as well as HDR from 274 to 385 d (P < or = 0.04) and 386 to 497 d (P < or = 0.0003). The GHR genotype (haploid in female chickens) had trends for association with HBW (P < or = 0.06) and HDR from AFE to 273 d (P < or = 0.07). The effects on the egg quality traits SPG and EWT were not significant. Regression analysis revealed that HDR was associated negatively with AFE and positively with HBWT. The slope of the regression line of HDR on AFE varied with the GH genotype, with the effect that the differences in HDR between GH genotypes was relatively small in chickens with early AFE and large in chickens with late AFE. Similarly, the slope of the regression of HDR on HBWT varied between GHR genotypes, with the result that the effect of the GHR genotype on HDR in chickens with low HBWT was opposite to its effect in chickens with high HBWT. The complex relationship between genotypes and traits may reflect gene interaction and indicates that simple models based on additive gene effects may not be adequate for the dissection of the genetic architecture of quantitative traits.

Antioxidant enzymes and atherosclerosis in Japanese quail: heritability and genetic correlation estimates

OBJECTIVES

To estimate, in male quail susceptible to atherosclerotic plaque formation (SUS) fed a regular diet and an atherogenic diet, the genetic and phenotypic parameters associated with antioxidant enzymes and atherogenesis.

DESIGN

Genetic parameters were estimated from variance components of the analysis of variance on 70 males from 13 full-sib families.

MAIN RESULTS

Under the regular diet, seven of 35 males developed mild atherosclerosis. Heritability was zero for atherosclerotic plaque score and plasma cholesterol level. Plaque score was highly correlated to plasma triglyceride level (rp = 0.96) and liver fattiness (rp = 0.97), but only moderately to plasma cholesterol level (rp = 0.39). With the high cholesterol diet, plasma cholesterol level increased sixfold and became heritable (h2 = 0.4). Many males developed severe atherosclerosis. Plaque score became associated more with plasma and aortic cholesterol levels (rp = 0.56) and 0.76, respectively) than with plasma triglyceride level (rp = 0.54). Aortic glutathione reductase activity was negatively correlated with plaque score (rp = -0.42; rg = -0.51) and aortic cholesterol level (rp = -0.39; rg = -0.62).

CONCLUSIONS

Plasma triglyceride level was an important factor affecting the development of fatty streaks and the early progression of atherosclerotic plaques. Without high levels of dietary cholesterol in the plasma and aorta, any early atherosclerotic plaques that developed did not progress further within the time-frame of the experiment. Aortic cholesterol concentration and glutathione reductase activity were important factors in the advancement of severe plaque formation. Heritability of plaque score was high in the SUS line, and further selective breeding should increase the susceptibility of these quail to cholesterol-induced atherosclerosis.

Sequence variations in the bovine growth hormone gene characterized by single-strand conformation polymorphism (SSCP) analysis and their association with milk production traits in Holsteins

Sequence variations in the bovine growth hormone (GH) gene were investigated by single strand conformation polymorphism (SSCP) analysis of seven amplified fragments covering almost the entire gene (2.7 kb). SSCPs were detected in four of these fragments and a total of six polymorphisms were found in a sample of 128 Holstein bulls. Two polymorphisms, a T-->C transition in the third intron (designated GH4.1) and an A-->C transversion in the fifth exon (designated GH6.2), were shown to be associated with milk production traits. GH4.1c/GH4.1c bulls had higher milk yield than GH4.1c/GH4.1t (P < or = 0.005) and GH4.1t/GH4.1t (P < or = 0.0022) bulls. GH4.1c/GH4.1c bulls had higher kg fat (P < or = 0.0076) and protein (P < or = 0.0018) than GH4.1c/GH4.1t bulls. Similar effects on milk production traits with the GH6.2 polymorphism were observed with the GH6.2a allele being the favorable allele. The average effects of the gene substitution for GH4.1 and GH6.2 are similar, with +/-300 kg for milk yield, +/-8 kg for fat content and +/-7 kg for protein content per lactation. The positive association of GH4.1c and GH6.2a with milk production traits may be useful for improving milk performance in dairy cattle.

A MspI polymorphism in the bovine ornithine decarboxylase gene and its possible association with selection for milk production in Holstein bulls

A polymerase chain reaction (PCR)-based method for detection of a MspI-restriction fragment length polymorphism (RFLP) in the bovine ornithine decarboxylase gene was developed, and the allele frequencies of the polymorphism in two groups of Holstein bulls representing progeny-tested bulls during the 1950s-1960s and 1980s, respectively, were estimated. The frequencies of the MspI(-) allele ere 0.229 and 0.077 and that of MspI(+) were 0.771 and 0.923 in the progeny-tested bulls of the 1950s-1960s and 1980s, respectively. The difference in allele frequencies between the two groups was statistically significant (P < 0.005). Genetic drift could be responsible for the changes in allele frequencies; however, it could also be possible that selection for milk production was associated with the changes of the allele frequencies in the two bull populations.

Size of breeding populations required for selection programs

The minimum population size required for selection in order to reduce the effect of genetic drift to a particular level has been considered. The model of Nicholas was extended to include the measurement-error variance in the response variance. Situations where the sex ratios among scored and breeding individuals are unequal are also considered. When the duration of a selection experiment is relatively long, Nicholas' approximation (i.e., assuming that measurement error is negligible relative to drift) is useful in determining the minimum effective population size required. However, the measurement-error variance becomes an important source of variation in short-term (≤ 5 generations) selection experiments, and should not be ignored.

Animal model analysis of genetic (co)variances for growth traits in Japanese quail

Records of 1,530 Japanese quail were used to estimate heritabilities and genetic correlations based on a derivative-free restricted maximum likelihood (REML) method with an animal model and ANOVA. The animal model included fixed effects of hatch and sex, random effects of additive genetic value of the bird, and common environmental effect of the dam. Heritabilities estimated from REML for body weights at hatch, 7, 14, 21, and 28 d of age were .38, .12, .31, .12, and .44, respectively. Heritabilities estimates from the sire component of variance for the same traits were .57, .08, .28, .15, and .47. These values indicate that genetic progress can be made by selecting for either 14-d or 28-d body weight. Genetic correlation (REML) of .76 between body weights at 14 and 28 d of age indicates the possibility of improving body weight at 28 d of age by selecting for body weight at 14 d of age.

Multiphasic analysis of egg production in Japanese quail

A multiphasic function that considers egg production of individual hens to result from more than one phase was used to describe egg production for Japanese quail. Each phase is determined by number of eggs within a clutch, including internally laid eggs, and pause between clutches. Cumulative egg production was fitted by using a function (Koops and Grossman, 1992) expressing time in terms of cumulative egg number. Data from nine hens over a 31-day period were analyzed to estimate parameters for lag and delay. The data were preadjusted for internal laying. Lag ranged from -1.14 to .19 h. Unlike chickens, there was no clear relationship between lag and average clutch length in Japanese quail. Average delay was about 21.6 h and seemed to be longer than that in the chicken. Furthermore, the residual standard error for delay was higher in Japanese quail than in the chicken.