41 research outputs found

    HOMESCHOOL SUPPORT FOR PARENT EDUCATORS

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    The purpose of the present study was to examine the effect parent involvement in homeschool groups has on parent self-efficacy within the domains of content knowledge, required administrative duties, teaching strategies, and social-emotional well-being. The quantitative, non-experimental study utilized a modified survey instrument based on Bandura\u27s (2006) “Guide for Constructing Self-Efficacy Scales.” The 56 study participants were homeschooling parents in the United States of America. The independent variable was involvement in homeschool groups and the dependent variables were the four domains of self-efficacy. The researcher sought to discover if the level of involvement in homeschool groups exerted a statistically significant effect upon the four domains of homeschooling parents’ self-efficacy. The combination of the four domains of the construct of self-efficacy had a significant effect among the levels of the variable of homeschool groups (F (8, 98) = 2.36, p = .02), and the magnitude of effect for involvement in homeschool groups upon the four domains of the construct of self-efficacy was considered large (η2p = 0.16). Follow-up post hoc analyses were conducted with the self-efficacy domain of social-emotional well-being identified as the only dimension reflecting a statistically significant effect on homeschooling parent self-efficacy (F (2, 52) = 6.84, p = .002)

    Network Analysis Identifies ELF3 as a QTL for the Shade Avoidance Response in Arabidopsis

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    Quantitative Trait Loci (QTL) analyses in immortal populations are a powerful method for exploring the genetic mechanisms that control interactions of organisms with their environment. However, QTL analyses frequently do not culminate in the identification of a causal gene due to the large chromosomal regions often underlying QTLs. A reasonable approach to inform the process of causal gene identification is to incorporate additional genome-wide information, which is becoming increasingly accessible. In this work, we perform QTL analysis of the shade avoidance response in the Bayreuth-0 (Bay-0, CS954) x Shahdara (Sha, CS929) recombinant inbred line population of Arabidopsis. We take advantage of the complex pleiotropic nature of this trait to perform network analysis using co-expression, eQTL and functional classification from publicly available datasets to help us find good candidate genes for our strongest QTL, SAR2. This novel network analysis detected EARLY FLOWERING 3 (ELF3; AT2G25930) as the most likely candidate gene affecting the shade avoidance response in our population. Further genetic and transgenic experiments confirmed ELF3 as the causative gene for SAR2. The Bay-0 and Sha alleles of ELF3 differentially regulate developmental time and circadian clock period length in Arabidopsis, and the extent of this regulation is dependent on the light environment. This is the first time that ELF3 has been implicated in the shade avoidance response and that different natural alleles of this gene are shown to have phenotypic effects. In summary, we show that development of networks to inform candidate gene identification for QTLs is a promising technique that can significantly accelerate the process of QTL cloning

    Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population

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