Mostrando ítems 31-40 de 179
Using factor analytic models for joining environments and genotypes without crossover genotype x environment interaction
Genotype x environment interaction variability can be due to crossover interaction (COI) or to non-COI. Statistical methods for detecting and quantifying COI and for forming subsets of environments and/or genotypes with ...
Probability models for detecting transgenic plants
When detecting the adventitious presence of transgenic plants (AP), it is important to use an appropriate testing method in the laboratory. Dorfman's group testing method is effective for reducing the number of laboratory ...
Prediction assessment of linear mixed models for multienvironment trials
Fixed linear models have been used for describing genotype × environment interaction (GE). Previous attempts have been made to assess the predictive ability of some linear mixed models when GE components are treated as ...
SAS macro for analysing unreplicated designs
Biplot analysis of genotype x environment interaction: Proceed with caution
Biplot analysis has been used for studying genotype x environment interaction (GE) or any two-way table. Its descriptive and visualization capabilities along with the availability of user-friendly software have enabled ...
Predicting quantitative traits with regression models for dense molecular markers and pedigree
The availability of genomewide dense markers brings opportunities and challenges to breeding programs. An important question concerns the ways in which dense markers and pedigrees, together with phenotypic records, should ...