CEVd-induced symptom modification as a response to a host-specific temperature-sensitive reaction.

Natural selection of two new variants of citrus exocortis viroid (CEVd) was detected by observing tissues displaying both severe and mild symptoms from a single Gynura aurantiaca. The variants CEVd-S (severe) and CEVd-M (mild), differing by only five nucleotides confined to the pathogenic (P) domain, remained stable when propagated by rooted cuttings or from successive plants inoculated with tissue extracts or transcripts from cDNA clones. CEVd-S induces a very severe reaction in Gynura that is consistent throughout a range of environmental conditions. However, symptoms resulting from CEVd-M infection can vary from a nonsymptomatic condition to a severe reaction when grown at 40 degrees C. This differential response was confined to a single host, Gynura aurantiaca, and expressed under standard growing conditions. The distinct host responses induced by these variants could not be correlated with any changes in sequence or conformation of the dominant viroid variant, as predicted by molecular modeling. Therefore, the variable symptom expression appears to be associated with a specific temperature-sensitive response of Gynura aurantiaca.

Evaluating overall significance levels in multifactor ANOVA.

Multifactor ANOVA procedures are commonly used by practitioners. A hierarchical process for testing the interaction effect(s) first, followed by tests for the main effects, is usually employed. Generally, no consideration is given to the overall type I error rate for these dependent (or conditional) tests. In this article, we formulate a method to evaluate the true overall significance levels for two-factor fixed-effect ANOVA models. Methods for evaluating conditional p-values are discussed. We present the overall significance levels for several specific two-factor designs. We discuss upper bounds on the overall significance level and extensions of the computational methods to higher-order designs as well as applications to random-effect models and mixed models.

Exercise intensity increased by addition of handheld weights to rebounding exercise.

PURPOSE: Researchers who studied the effects of rebound exercise on fitness have concluded that the intensity of rebound exercise elicited only minimal improvements in fitness. This study determined how the addition of arm pumping with handheld weights (HHW) would increase exercise intensity while rebounding. METHODS: Fifteen male subjects (20 to 43 years) ran in place on a mini-trampoline at a stride frequency of 120 foot strikes per minute, with the sole of the foot 15 cm above the rebounder rim. Oxygen uptake (VO2) and heart rate (HR) were measured while rebounding alone, and also while pumping 0.45 kg, 0.91 kg, and 1.36 kg HHW to heights of 61 and 91 cm. RESULTS: All combinations of weights and pumping levels resulted in significantly (P < .05) higher VO2 and HR than rebounding alone. The estimated mean increase in VO2 was 3.2 mL/kg/min when the weight was increased from 0.91 kg to 1.36 kg at the 91 cm pumping height. The corresponding HR increase was 10.1 bpm. Similarly, when 1.36 kg weights were pumped at 91 cm instead of 61 cm, the mean increase in VO2 and HR was 6.2 mL/kg/min and 11.4 bpm, respectively. CONCLUSIONS: The addition of HHW exercise to rebounding substantially increases exercise intensity. Because rebounding without weights results in a relatively low intensity, the addition of HHW should be considered in the use of rebounding for cardiovascular training.

Sex difference in muscle cross-sectional area of athletes and non-athletes.

The purpose of the present study was to determine whether there is a sex difference in limb muscle cross-sectional area by comparing upper- and lower-body limb fat-free cross-sectional areas (FFCSAs) adjusted for differences in fat-free weight (FFW), in male and female athletes with similar histories of upper-body physical conditioning and in non-athletes. Limb FFCSAs were calculated from circumferences corrected for subcutaneous fat thickness and FFW was estimated from body density measured by underwater weighing in 24 male and 25 female swimmers and 23 male and 25 female non-athletes, 15 to 28 years of age. The male swimmers had 32% larger FFWs and 49% larger upper-arm, similar forearm and 23% larger thigh FFCSAs compared to the female swimmers. The male non-athletes had 34% larger FFWs, 61% larger upper-arms, 54% larger forearms and 35% larger thighs than female non-athletes. To adjust for differences in body size, analysis of covariance was performed on the FFCSAs using FFW as the covariate. For the swimmers there were no significant differences (P greater than 0.05) in the adjusted FFCSAs. For the non-athletes, males had significantly larger adjusted upper-arm and forearm FFCSAs than the females but thigh FFCSAs were not significantly different (P greater than 0.05). These results suggest that sex differences in muscle area of the arms, may be partially attributed to long-term activity differences between sexes. Possible long-term differences in activity between sexes should be considered in comparisons of functional or performance measures between sexes.

Validation of body composition models for high school wrestlers.

This study investigates the utility of two equations for predicting minimum wrestling weight and three equations for predicting body density for the population of high school wrestlers. A sample of 54 wrestlers was assessed for body density by underwater weighing, residual volume by helium dilution, and selected anthropometric measures. The differences between observed and predicted responses were analyzed for the five models. Four statistical tests were used to validate the equations, including tests for the mean of differences, proportion of positive differences, equality of standard errors from regression, and equivalence of regression coefficients between original and second sample data. The Michael and Katch equation and two Forsyth and Sinning equations (FS1 and FS21) for body density did not predict as well as expected. The Michael and Katch equation tends to overpredict body density while FS1 underpredicts. The FS2 equation, consisting of a constant adjustment to FS1, predicts well near the mean but not at the ends of the sample range. The two Tcheng and Tipton equations produce estimates which slightly but consistently overpredict minimum wrestling weight, the long form equation by 2.5 pounds and the short form by 3.8 pounds. As a result the proportion of positive differences is less than would be expected. But based on the tests for the standard errors and regression coefficients, the evidence does not uniformly reject these two equations.