2,439 research outputs found
Data transformation in stability analysis of dynamic-model. 2.Effects on genetic-parameters
Considering the case of the residual mean squares of deviation from the linear regression, if they are not homogeneous across all genotypes, thus a power transformation of data was proposed. To test the adequacy and necessity of transformation, the effects of transformation of data on genetic parameters in stability analysis of dynamic models were discussed. The method of Schlesselman (1973) can by adapted to provide as a means of estimating approximate confidence intervals of a power transformation for reducing error heterogeneity. The method involves the regression of log {sample variance} on log {sample mean}. log Y and Y-0.1 transformations were considered in analyzing the fresh data of 9 x 9 diallel crosses of Arabidopsis thaliana, highly significant correlation was found between these two transformation scales and origianl data. However, the use of any data transformation may reduce the correlation between stability index and phenotypic mean because of the removal of heterogeneity of variance. This may help breeders select genotypes having above mean performance and high stability. On the other hand, the magnitudes of interactions and heterogeneity among regressions are also reduced by using data transformation. The effects on genetic parameters in stability analysis of dynamic model were in accordance with those on space-time parameters of dynamic model in previous study
Influence on stability analysis of dynamic-model suing different partitioned ways of measured time
Data transformation in stability analysis of dynamic-model. 1.Effects on space-time parameters
Considering the case of the residual mean squares of deviation from the linear regression, if they are not homogeneous across all genotypes, thus a power transformation of data was proposed. To test the adequacy and necessity of transformation, the effects of transformation of data on stability analysis of dynamic model were discussed. The method of Schlesselman (1973) can be adapted to provide as a means of estimating approximate confidence intervals of a power transformation for reducing error heterogeneity. The method involves the regression of log {sample variance} on log {sample mean}. Log Y and Y0.1 transformations were considered in analyzing the fresh data of 24 inbreds of Arabidopsis thaliana, no difference was found between these two transformation scales in the rank order of genotypic stability. However, the use of any data transformation may reduce the correlation between stability index and phenotypic mean because of the removal of heterogeneity of variance. This may help breeders select genotypes having above mean performance and high stability. On the other hand, the magnitudes of interactions and heterogeneity among regressions are also reduced by using data transformation
sj-docx-1-taj-10.1177_20406223221081616 – Supplemental material for Long-chain omega-3 polyunsaturated fatty acids and the risk of heart failure
Supplemental material, sj-docx-1-taj-10.1177_20406223221081616 for Long-chain omega-3 polyunsaturated fatty acids and the risk of heart failure by Sulin Zheng, Min Qiu, Jason H.Y. Wu, Xiong-fei Pan, Xiong Liu, Lichang Sun, Hailan Zhu, Jiandi Wu and Yuli Huang in Therapeutic Advances in Chronic Disease</p
sj-docx-2-taj-10.1177_20406223221081616 – Supplemental material for Long-chain omega-3 polyunsaturated fatty acids and the risk of heart failure
Supplemental material, sj-docx-2-taj-10.1177_20406223221081616 for Long-chain omega-3 polyunsaturated fatty acids and the risk of heart failure by Sulin Zheng, Min Qiu, Jason H.Y. Wu, Xiong-fei Pan, Xiong Liu, Lichang Sun, Hailan Zhu, Jiandi Wu and Yuli Huang in Therapeutic Advances in Chronic Disease</p
Differences in the lesion formation process between focused ultrasound and microwave ablations
Albacore (Thunnus alalunga) in the Northwestern Pacific are composed of two distinct clades
Effects of cold rolling and solid solution treatments on mechanical properties of beta-phase Mg-14.3Li-0.8Zn alloy
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