The Role of Visual Stimuli in Cross-Modal Stroop Interference

It has long been known that naming the color of a color word leads to what is known as the Stroop effect (Stroop, 1935). In the traditional Stroop task, when compared to naming the color of a color-neutral stimulus (e.g. an X or color patch), the presence of an incongruent color word decreases performance (Stroop interference), and a congruent color word increases performance (Stroop facilitation). Research has also shown that auditory color words can impact the color naming performance of colored items in a similar way in a variation known as cross-modal Stroop (Cowan & Barron, 1987). However, whether the item that is colored interacts with the auditory distractor to affect cross-modal Stroop interference is unclear. Research with the traditional, visual Stroop task has suggested that the amount of color the visual item displays and the semantic and phonetic components of the colored word can affect the magnitude of the resulting Stroop interference; as such, it is possible the same components could play a role in cross-modal Stroop interference. We conducted two experiments to examine the impact of the composition of the colored visual item on cross-modal Stroop interference. However, across two different experiments, three test versions, and numerous sets of trials, we were only able to find a small effect of the visual stimulus. This finding suggests that while the impact of the auditory stimuli is consistent and robust, the influence of non-word visual stimuli is quite small and unreliable and, while occasionally being statistically significant, it is not practically so

Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Cotton germplasm resources contain beneficial alleles that can be exploited to develop germplasm adapted to emerging environmental and climate conditions. Accessions and lines have traditionally been characterized based on phenotypes, but phenotypic profiles are limited by the cost, time, and space required to make visual observations and measurements. With advances in molecular genetic methods, genotypic profiles are increasingly able to identify differences among accessions due to the larger number of genetic markers that can be measured. A combination of both methods would greatly enhance our ability to characterize germplasm resources. Recent efforts have culminated in the identification of sufficient SNP markers to establish high-throughput genotyping systems, such as the CottonSNP63K array, which enables a researcher to efficiently analyze large numbers of SNP markers and obtain highly repeatable results. In the current investigation, we have utilized the SNP array for analyzing genetic diversity primarily among cotton cultivars, making comparisons to SSR-based phylogenetic analyses, and identifying loci associated with seed nutritional traits. (Résumé d'auteur