Estimation of Variances at Different Significance Levels

Variance components and their ratios broad-sense heritability and constancy were estimated for some quantitative traits in northwestern Spain populations of maize. Estimations were carried out at the significance levels of 5% and 25% and without significance limits. It can be concluded that estimation without significance limits is more efficient than the estimations at the usual levels in the method of analysis of experimental data from fields experiments.     

POSTURAL SHOCK IN PREGNANCY

Signs and symptoms of shock may be produced in some patients in late pregnancy by putting them in the dorsal recumbent posture. Change from this position will relieve the condition.The features of the supine hypotensive syndrome can be duplicated by applying pressure to the abdomen with the patient in a lateral position.The postural variations of venous pressure, blood pressure, and pulse appear to be due to obstruction of venous return from the lower portion of the body caused by the large uterus of late pregnancy compressing the vena cava.When shock is observed in a woman in late pregnancy, she should be turned to a lateral position before more active measures of treatment are begun.     

POSTURAL VERTIGO AND POSITIONAL NYSTAGMUS

Oscillation of the eyes of a patient when the head is placed in a certain position is objective evidence to support a complaint of postural vertigo—dizziness when the head is tilted forward or upward or turned to one side or the other. Since positional nystagmus may be difficult to evoke and may be elicited at one time and not at another, it is important to make repeated tests, lest a causative lesion be overlooked.Vertigo in such cases may be caused by pathologic change in the eighth peripheral nerve or in the central vestibular pathways. Sometimes no organic disease is observable even though positional nystagmus validates a complaint of vertigo. In such instances the patient should be assured that he does not have a progressive disease and be advised against activity in which dizziness would be hazardous.     

INFERRING FITNESS LANDSCAPES

Since 1983, study of natural selection has relied heavily on multiple regression of fitness on the values for a set of traits via ordinary least squares (OLSs), as proposed by Lande and Arnold, to obtain an estimate of the quadratic relationship between fitness and the traits, the fitness surface. However, well‐known statistical problems with this approach can affect inferences about selection. One key concern is that measures of lifetime fitness do not conform to a normal or any other standard sampling distribution, as needed to justify the usual statistical tests. Another is that OLS may yield an estimate of the sign of the fitness function's curvature that is opposite to the truth. We here show that the recently developed aster modeling approach, which explicitly models the components of fitness as the basis for inferences about lifetime fitness, eliminates these problems. We illustrate selection analysis via aster using simulated datasets involving five fitness components expressed in each of four years. We demonstrate that aster analysis yields accurate estimates of the fitness function in cases in which OLS misleads, as well as accurate confidence regions for directional selection gradients. Further, to evaluate selection when many traits are under consideration, we recommend model selection by information criteria and frequentist model averaging.     

THE EVOLUTION OF FITNESS

In every generation, the mean fitness of populations increases because of natural selection and decreases because of mutations and changes in the environment. The magnitudes of these effects can be measured in two ways: either directly, by comparing the fitnesses of selected and unselected populations, or indirectly, by measuring the additive variance of fitness and making use of the fundamental theorem of natural selection. The available data suggest that the amount by which natural selection increases mean fitness each generation (or degradation decreases mean fitness) will usually be between 0.1% and 30%; more tentatively, it is suggested that values will typically fall between 1% and 10%. These values can be used to set an upper limit of 5%–10% on the genetic advantage of mate choice.     

ECOLOGICAL SPECIATION IN STICKLEBACKS: ENVIRONMENT-DEPENDENT HYBRID FITNESS

“Ecological” speciation occurs when reproductive isolation evolves as a consequence of divergent selection between populations exploiting different resources or environments. We tested this hypothesis of speciation in a young stickleback species pair by measuring the direct contribution of ecological selection pressures to hybrid fitness. The two species (limnetic and benthic) are strongly differentiated morphologically and ecologically, whereas hybrids are intermediate. Fitness of hybrids is high in the laboratory, especially F₁ and F₂ hybrids (backcrosses may show some breakdown). We transplanted F₁ hybrids to enclosures in the two main habitats in the wild to test whether the distribution of resources available in the environment generates a hybrid disadvantage not detectable in the laboratory. Hybrids grew more slowly than limnetics in the open water habitat and more slowly than benthics in the littoral zone. Growth of F₁ hybrids was inferior to the average of the parent species across both habitats, albeit not significantly. The contrast between laboratory and field results supports the hypothesis that mechanisms of F₁ hybrid fitness in the wild are primarily ecological and do not result from intrinsic genetic incompatibilities. Direct selection on hybrids contributes to the maintenance of sympatric stickleback species and may have played an important role in their origin.     

Heterogeneous Variances in Repeated Measures

A general approach to repeated measures analysis described in MCGILCHRIST and CULLIS (1991) is extended to general linear models in which there is a homogeneous correlation structure such as a stationary process but the variances are heterogeneous over time. Models for the variance heterogeneity are suggested and results are applied to data examining the effect of enzootic pneumonia on young pigs.