How to use analysis of variance correctly——an analysis of variance for the univariate quantitative data collected from the nested design / 四川精神卫生

The purpose of this paper was to introduce the nested design and its quantitative data analysis of variance and the SAS implementation. If one of the following two characteristics existed in a specific experimental study， a nested design could be considered to arrange the experiment. Firstly， there was a nested relationship between factors in natural attributes. Secondly， with professional knowledge as the basis， the impact of each factor on the quantitative observation results was divided into primary and secondary. The first feature mentioned above meant that the factors related to the subjects had the conditions for grouping and regrouping. The second feature mentioned above meant that the status of each factor was unequal. In the variance analysis of quantitative data， the calculation formulas of variable error mean square was required to use. Based on four examples and with the help of the SAS software， this paper implemented the univariate analysis of variance for the quantitative data of the nested design， and gave the detailed explanations for the output results of SAS software.

Genetic parameter estimates in yellow passion fruit based on design I

The aim of this work was to study the genetic parameters, to obtaine the progenies by crossings among the yellow passion fruits cultivars (Passiflora edulis f. flavicarpa), following the Design I. The results of the variance analysis demonstrated large variability to be exploited in the population. The trait number of fruit per plant presented the largest additive genetic variation coefficient, demonstrating that larger gains could be obtained for the trait. In terms of genetic action, number of fruits per plant, skin thickness and number of days by flowering have demonstrated to be characterized by the overdominance. Other important traits seem to have presented larger addictive effect than the dominance, as weight, length and width of fruits. The highest values of the coefficients of heritabilities were obtained for the males and the smallest for the females within males, and for the selection the coefficients should be used in the narrow sense.

Com o objetivo de se estimarem parâmetros genéticos, procedeu-se a obtenção de progênies por cruzamentos entre cultivares de maracujá amarelo (Passiflora edulis f. flavicarpa) seguindo o Delineamento I. Os resultados da análise de variância demonstraram existir grande variabilidade a ser explorada na população. Número médio de frutos expressou o maior coeficiente de variação genético aditivo, demonstrando que maiores ganhos podem ser obtidos para o caráter. Em termos de ação gênica, número de frutos por planta, espessura de casca e número de dias para o florescimento demonstraram ser caracterizadas por efeito sobredominante dos genes. Outras características importantes apresentaram efeito aditivo maior do que o dominante, como ocorreu com peso, comprimento e largura de frutos. Os valores dos coeficientes de herdabilidade mais elevados foram obtidos para famílias de machos e os menores para famílias de fêmeas dentro de machos, sendo que para fins de seleção devem ser utilizados os coeficientes no sentido restrito.