Clemson University

About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.

Measuring Firm Performance at the Network Level: A Nomology of the Business Impact of Digital Supply Networks

Abstract: For decades, information technology has been posited to have a major impact on firm performance Investigations into this line of inquiry have almost always used constructs related to individual firm performance as their dependent measures, an approach that made sense under historical economic conditions In recent years, however, value chains are giving way to digital supply networks with electronic interactions between tiers in the flow of goods and services Such an environment makes it imperative to develop sophisticated measures of the performance of entire networks of firms, as opposed to individual firm performance Using game-theoretic concepts, this paper explores several dimensions of networked organizational performance as a construct, as a set of measures, and as a construct within a nomology It describes a program of research in which some empirical validation has already been completed and other work is now underway We first validate measures for a dyadic view of network performance, followed by an n-firm perspective

Perspective: Guidelines for reporting team-based learning activities in the medical and health sciences education literature.

Abstract: Medical and health sciences educators are increasingly employing team-based learning (TBL) in their teaching activities. TBL is a comprehensive strategy for developing and using self-managed learning teams that has created a fertile area for medical education scholarship. However, because this method can be implemented in a variety of ways, published reports about TBL may be difficult to understand, critique, replicate, or compare unless authors fully describe their interventions.The authors of this article offer a conceptual model and propose a set of guidelines for standardizing the way that the results of TBL implementations are reported and critiqued. They identify and articulate the seven core design elements that underlie the TBL method and relate them to educational principles that maximize student engagement and learning within teams. The guidelines underscore important principles relevant to many forms of small-group learning. The authors suggest that following these guidelines when writing articles about TBL implementations should help standardize descriptive information in the medical and health sciences education literature about the essential aspects of TBL activities and allow authors and reviewers to successfully replicate TBL implementations and draw meaningful conclusions about observed outcomes.

Development and evaluation of a 9K SNP array for peach by internationally coordinated SNP detection and validation in breeding germplasm.

Abstract: Although a large number of single nucleotide polymorphism (SNP) markers covering the entire genome are needed to enable molecular breeding efforts such as genome wide association studies, fine mapping, genomic selection and marker-assisted selection in peach [Prunus persica (L.) Batsch] and related Prunus species, only a limited number of genetic markers, including simple sequence repeats (SSRs), have been available to date. To address this need, an international consortium (The International Peach SNP Consortium; IPSC) has pursued a coordinated effort to perform genome-scale SNP discovery in peach using next generation sequencing platforms to develop and characterize a high-throughput Illumina Infinium® SNP genotyping array platform. We performed whole genome re-sequencing of 56 peach breeding accessions using the Illumina and Roche/454 sequencing technologies. Polymorphism detection algorithms identified a total of 1,022,354 SNPs. Validation with the Illumina GoldenGate® assay was performed on a subset of the predicted SNPs, verifying ∼75% of genic (exonic and intronic) SNPs, whereas only about a third of intergenic SNPs were verified. Conservative filtering was applied to arrive at a set of 8,144 SNPs that were included on the IPSC peach SNP array v1, distributed over all eight peach chromosomes with an average spacing of 26.7 kb between SNPs. Use of this platform to screen a total of 709 accessions of peach in two separate evaluation panels identified a total of 6,869 (84.3%) polymorphic SNPs. The almost 7,000 SNPs verified as polymorphic through extensive empirical evaluation represent an excellent source of markers for future studies in genetic relatedness, genetic mapping, and dissecting the genetic architecture of complex agricultural traits. The IPSC peach SNP array v1 is commercially available and we expect that it will be used worldwide for genetic studies in peach and related stone fruit and nut species.

A modified involvement scale.

Abstract: This investigation examines the psychometric properties of a modified involvement scale (MIS) using recreationists sampled at a national forest in upstate South Carolina and consumers enquiring about angling opportunities in the Low Country of South Carolina. Following the testing of several model configurations, support for a conceptualization of enduring involvement was observed consisting of five correlated facets: attraction, centrality, social bonding, identity expression and identity affirmation. This conceptualization was an extension of McIntyre’s measure. Notable departures from McIntyre’s conceptualization include the extraction of a social component previously embedded in the centrality facet and greater distinction in the leisure identification processes. This led to the construction of two identification facets. Testing using multiple criteria of validity and reliability illustrated that the MIS was a sound indicator of enduring leisure involvement.

Genome-environment associations in sorghum landraces predict adaptive traits.

Abstract: Improving environmental adaptation in crops is essential for food security under global change, but phenotyping adaptive traits remains a major bottleneck. If associations between single-nucleotide polymorphism (SNP) alleles and environment of origin in crop landraces reflect adaptation, then these could be used to predict phenotypic variation for adaptive traits. We tested this proposition in the global food crop Sorghum bicolor, characterizing 1943 georeferenced landraces at 404,627 SNPs and quantifying allelic associations with bioclimatic and soil gradients. Environment explained a substantial portion of SNP variation, independent of geographical distance, and genic SNPs were enriched for environmental associations. Further, environment-associated SNPs predicted genotype-by-environment interactions under experimental drought stress and aluminum toxicity. Our results suggest that genomic signatures of environmental adaptation may be useful for crop improvement, enhancing germplasm identification and marker-assisted selection. Together, genome-environment associations and phenotypic analyses may reveal the basis of environmental adaptation.