Variability in amino acid digestibility of triticale grain from diverse genotypes as studied in cecectomized laying hens.

Triticale, an anthropogenic hybrid grain, is increasing in importance as a feed grain for laying hens. However, our limited knowledge of its nutritional qualities and their impact on hen performance prevents optimization of its use. The present study investigated the digestibility of amino acids ( AA: ) in triticale grain in laying hens, and additionally examined relationships between AA digestibility and chemical and physical characteristics of the grain. Twenty genotypes of triticale were grown under standardized agronomic and environmental conditions and were characterized according to their physical properties (thousand-seed weight, test weight, falling number, extract viscoelasticity), chemical composition (proximate nutrients, non-starch polysaccharides, AA, minerals, inositol phosphates) and gross energy concentration. Additionally, the in vitro solubility of nitrogen was determined. The animal trial comprised 4 Latin Squares (6 × 6) distributed among 2 subsequent runs. Twelve cecectomized LSL-Classic hens were individually housed in metabolism cages and either fed a basal diet containing 500 g/kg cornstarch or one of 20 triticale diets, each replacing the cornstarch with one triticale genotype, for 8 d. During the last 4 d, feed intake was recorded and excreta were collected quantitatively. Amino acid digestibility of the triticale genotypes was calculated by linear regression. The digestibility of all AA differed significantly between the 20 genotypes, including Lys (digestibility range 68 to 80%), Met (77 to 86%), Thr (68 to 78%) and Trp (74 to 83%). However, AA digestibility only correlated with characteristics of the grain in few cases, without a consistent pattern among AA. Equations to predict AA digestibility based on the grain's physical and chemical characteristics were calculated by multiple linear regression. The explanatory power (adjusted R2;) of these prediction equations was below 0.7 for most AA and thus not sufficiently precise to be suitable for practical application. In conclusion, AA digestibility of triticale grain is high overall in laying hens but varies significantly between crop genotypes. This variation could not be well explained by physical and chemical characteristics of the grain.

Genetic architecture of fusarium head blight resistance in four winter triticale populations.

Fusarium head blight (FHB) is a devastating disease that causes significant reductions in yield and quality in wheat, rye, and triticale. In triticale, knowledge of the genetic architecture of FHB resistance is missing but essential due to modern breeding requirements. In our study, four doubled-haploid triticale populations (N=120 to 200) were evaluated for resistance to FHB caused by artificial inoculation with Fusarium culmorum in four environments. DArT markers were used to genotype triticale populations. Seventeen quantitative trait loci (QTL) for FHB resistance were detected across all populations; six of them were derived from rye genome and located on chromosomes 4R, 5R, and 7R, which are here reported for the first time. The total cross-validated ratio of the explained phenotypic variance for all detected QTL in each population was 41 to 68%. In all, 17 QTL for plant height and 18 QTL for heading stage were also detected across all populations; 3 and 5 of them, respectively, were overlapping with QTL for FHB. In conclusion, FHB resistance in triticale is caused by a multitude of QTL, and pyramiding them contributes to higher resistance.

Optimum design of family structure and allocation of resources in association mapping with lines from multiple crosses.

Family mapping is based on multiple segregating families and is becoming increasingly popular because of its advantages over population mapping. Athough much progress has been made recently, the optimum design and allocation of resources for family mapping remains unclear. Here, we addressed these issues using a simulation study, resample model averaging and cross-validation approaches. Our results show that in family mapping, the predictive power and the accuracy of quatitative trait loci (QTL) detection depend greatly on the population size and phenotyping intensity. With small population sizes or few test environments, QTL results become unreliable and are hampered by a large bias in the estimation of the proportion of genotypic variance explained by the detected QTL. In addition, we observed that even though good results can be achieved with low marker densities, no plateau is reached with our full marker complement. This suggests that higher quality results could be achieved with greater marker densities or sequence data, which will be available in the near future for many species.

Comparison of biometrical models for joint linkage association mapping.

Joint linkage association mapping (JLAM) combines the advantages of linkage mapping and association mapping, and is a powerful tool to dissect the genetic architecture of complex traits. The main goal of this study was to use a cross-validation strategy, resample model averaging and empirical data analyses to compare seven different biometrical models for JLAM with regard to the correction for population structure and the quantitative trait loci (QTL) detection power. Three linear models and four linear mixed models with different approaches to control for population stratification were evaluated. Models A, B and C were linear models with either cofactors (Model-A), or cofactors and a population effect (Model-B), or a model in which the cofactors and the single-nucleotide polymorphism effect were modeled as nested within population (Model-C). The mixed models, D, E, F and G, included a random population effect (Model-D), or a random population effect with defined variance structure (Model-E), a kinship matrix defining the degree of relatedness among the genotypes (Model-F), or a kinship matrix and principal coordinates (Model-G). The tested models were conceptually different and were also found to differ in terms of power to detect QTL. Model-B with the cofactors and a population effect, effectively controlled population structure and possessed a high predictive power. The varying allele substitution effects in different populations suggest as a promising strategy for JLAM to use Model-B for the detection of QTL and then to estimate their effects by applying Model-C.

Establishment of introgression libraries in hybrid rye (Secale cereale L.) from an Iranian primitive accession as a new tool for rye breeding and genomics.

Genetic diversity of elite breeding material can be increased by introgression of exotic germplasm to ensure long-term selection response. The objective of our study was to develop and characterize the first two rye introgression libraries generated by marker-assisted backcrossing and demonstrate their potential application for improving the baking quality of rye. Starting from a cross between inbred line L2053-N (recurrent parent) and a heterozygous Iranian primitive population Altevogt 14160 (donor) two backcross (BC) and three selfing generations were performed to establish introgression libraries A and B. Amplified fragment length polymorphisms (AFLP markers) and simple sequences repeats (SSRs) were employed to select and characterize candidate introgression lines (pre-ILs) from BC(1) to BC2S3. The two introgression libraries comprise each 40 BC2S3 pre-ILs. For analyzing the phenotypic effects of the exotic donor chromosome segment (DCS) we evaluated the per se performance for pentosan and starch content in replicated field trials at each of four locations in 2005 and 2006. Introgression library A and B cover 74 and 59% of the total donor genome, respectively. The pre-ILs contained mostly two to four homozygous DCS, with a mean length of 12.9 cM (A) and 10.0 cM (B). We detected eight (A) and nine (B) pre-ILs with a significant (P<0.05) higher pentosan content and two pre-ILs (B) with a significant (P<0.05) higher starch content than the elite recurrent parent. Thus, our results indicate that exotic genetic resources in rye carry favorable alleles for baking quality traits, which can be exploited for improving the elite breeding material by marker-assisted selection (MAS). These introgression libraries can substantially foster rye breeding programs and provide a promising opportunity to proceed towards functional genomics.

An incomplete enumeration algorithm for an exact test of Hardy-Weinberg proportions with multiple alleles.

Testing of Hardy-Weinberg proportions (HWP) with asymptotic goodness-of-fit tests is problematic when the contingency table of observed genotype counts has sparse cells or the sample size is low, and exact procedures are to be preferred. Exact p-values can be (1) calculated via computational demanding enumeration methods or (2) approximated via simulation methods. Our objective was to develop a new algorithm for exact tests of HWP with multiple alleles on the basis of conditional probabilities of genotype arrays, which is faster than existing algorithms. We derived an algorithm for calculating the exact permutation significance value without enumerating all genotype arrays having the same allele counts as the observed one. The algorithm can be used for testing HWP by (1) summation of the conditional probabilities of occurrence of genotype arrays with smaller probability than the observed one, and (2) comparison of the sum with a nominal Type I error rate alpha. Application to published experimental data from seven maize populations showed that the exact test is computationally feasible and reduces the number of enumerated genotype count matrices about 30% compared with previously published algorithms.

Linkage disequilibrium in two European F(2) flint maize populations under modified recurrent full-sib selection.

According to quantitative genetic theory, linkage disequilibrium (LD) can hamper the short- and long-term selection response in recurrent selection (RS) programs. We analyzed LD in two European flint maize populations, KW1265 x D146 (A x B) and D145 x KW1292 (C x D), under modified recurrent full-sib selection. Our objectives were to investigate (1) the decay of initial parental LD present in F(2) populations by three generations of intermating, (2) the generation of new LD in four (A x B) and seven (C x D) selection cycles, and (3) the relationship between LD changes and estimates of the additive genetic variance. We analyzed the F(2) and the intermated populations as well as all selection cycles with 104 (A x B) and 101 (C x D) simple sequence repeat (SSR) markers with a uniform coverage of the entire maize genome. The LD coefficient D and the composite LD measure Delta were estimated and significance tests for LD were performed. LD was reduced by intermating as expected from theory. A directional generation of negative LD between favorable alleles could not be observed during the selection cycles. However, considerable undirectional changes in D were observed, which we attributed to genetic sampling due to the finite population size used for recombination. Consequently, a long-term reduction of the additive genetic variance due to negative LD was not observed. Our experimental results support the hypothesis that in practical RS programs with maize, LD generated by selection is not a limiting factor for obtaining a high selection response.

Temporal changes in allele frequencies in two European F(2) flint maize populations under modified recurrent full-sib selection.

Selection and random genetic drift are the two main forces affecting the selection response of recurrent selection (RS) programs by changes in allele frequencies. Therefore, detailed knowledge on allele frequency changes attributable to these forces is of fundamental importance for assessing RS programs. The objectives of our study were to (1) estimate the number, position, and genetic effect of quantitative trait loci (QTL) for selection index and its components in the base populations, (2) determine changes in allele frequencies of QTL regions due to the effects of random genetic drift and selection, and (3) predict allele frequency changes by using QTL results and compare these predictions with observed values. We performed QTL analyses, based on restriction fragment length polymorphisms (RFLPs) and simple sequence repeats (SSRs), in 274 F(2:3) lines of cross KW1265 x D146 (A x B) and 133 F(3:4) lines of cross D145 x KW1292 (C x D) originating from two European flint maize populations. Four (A x B) and seven (C x D) cycles of RS were analyzed with SSRs for significant allele frequency changes due to selection. Several QTL regions for selection index were detected with simple and composite interval mapping. In some of them, flanking markers showed a significant allele frequency change after the first and the final selection cycles. The correlation between observed and predicted allele frequencies was significant only in A x B. We attribute these observations mainly to (1) the high dependence of the power of QTL detection on the population size and (2) the occurrence of undetectable QTL in repulsion phase. Assessment of allele frequency changes in RS programs can be used to detect marker alleles linked to QTL regions under selection pressure.

Identification of essentially derived varieties with molecular markers: an approach based on statistical test theory and computer simulations.

Genetic similarities (GS) based on molecular markers have been proposed as a tool for identification of essentially derived varieties (EDVs). Nevertheless, scientifically reliable criteria for discrimination of EDVs and independently derived varieties with GS estimates are scanty, and implementation into practical breeding has not yet taken place. Our objectives were to (1) assess the influence of chromosome number and length, marker density, and distribution, as well as the degree of polymorphism between the parental inbreds on the distribution of GS between parental inbreds and their progenies [GS(P1,O)] derived from F2 and different backcross populations and (2) evaluate these factors with regard to the power for distinguishing F2- versus BC1- and BC1- versus BC2-derived lines with molecular markers. We developed an approach based on statistical test theory for the identification of EDVs with molecular markers. Standard deviations and overlaps of distributions of GS(P1,O) of F2-, BC1-, and BC2-derived lines were smaller with (1) increasing chromosome number and length, (2) increasing marker density, and (3) uniformly instead of randomly distributed markers, approaching a lower boundary determined by the genetic parameters. The degree of polymorphism between the parental inbreds influenced the power only if the remaining number of polymorphic markers was low. Furthermore, suggestions are made for (1) determining the number of markers required to ascertain a given power and (2) EDV identification procedures.

The rate of increase in urinary flow rate during micturition: a valuable urodynamic parameter for the diagnosis and differentiation of abnormalities of micturition in women.

The diagnostic significance of the maximum rate of increase in urinary flow during micturition, which is given by the tangent to the urinary flow curve at its point of maximum slope, was investigated at the University of Bern Women's Hospital. The micturition curves of 87 women were evaluated. Twenty four were in the control group, 36 had a variety of pathological conditions, and 27 had simple stress incontinence. For the measurement of urinary flow the bladder was filled until the subject felt the first need to micturate. The urinary stream was measured with an electronic balance (AMS flowmeter) and charted by a felt-pen recorder. In addition, continuous urethrocystotonometry was performed and urine was sampled for bacteriological examination. The results showed clearly that the maximum increase in urinary flow rate is of greater diagnostic value than the maximum and mean urinary flow or the micturition time. It is a simple, non-invasive method for differentiation between normal and pathological micturition curves. The discriminatory power of the test is age-independent. These investigations show that during the phase of active emptying of the bladder the rate of increase in urinary flow is the parameter which provides most diagnostic information.

Measurement of the transmission factor and stress factor at four points in the urethra in patients with stress incontinence.

The transmission factor and the stress factor (a new parameter introduced by us) were determined at points corresponding to 10%, 40%, 70%, and 90% of the functional length of the urethra in 25 women with stress-incontinence and were used to construct urethral closure pressure profiles. The measurements were made with the patients supine after infusion of 200 ml into the urinary bladder, and in the standing and supine positions following infusion of 300--400 ml. There was an almost linear decrease in the value of the transmission factor along the functional length of the urethra. In the distal third of the urethra we found significant differences in vesico-urethral pressure transmission between patients with differing degrees of stress incontinence. The significance of the transmission factor in the preoperative and postoperative evaluation of urethral closure pressure profiles is discussed.

[The postoperative myocardial infarct in the surgical therapy of pelvic and leg arterial occlusions].

A total of 4063 surgical interventions for arterial occlusions of the lower limbs have been reviewed in a retrospective study. As compared to patients without specific diagnosis of preexisting coronary heart disease, the incidence of postoperative myocardial infarction is 10 times greater in the presence of clinical and electrocardiographic evidence of previous infarction; for patients suffering from typical angina pectoris the risk is 5 times higher and for patients with suspected preoperative infarction the incidence of postoperative infarction is 3 times that in surgical patients without such a history. The mortality rate from myocardial infarction occurring postoperatively in patients with no previous history of coronary heart disease is 26% as compared to 100% for patients who had sustained preoperative infarction. The rate of recurrence is significantly greater when the time interval between previous myocardial infarction and operation is less than three months. Comparison between elective and emergency cases shows that in the group undergoing emergency surgery the incidence of post-operative infarction is twice that under elective surgery, whereas mortality from myocardial infarction is 3 times higher following acute interventions. The problem of critical establishment of surgical indication, the need for accurate prior investigations and the requirement of adequate preoperative treatment are discussed.