98%
921
2 minutes
20
The aim of this study was to use technical skill and physical performance and coaches' rankings to predict the defensive performance of junior soccer players. Twenty-one male players (mean age 17.2 years, SD = 1.1) were recruited from the Londrina Junior Team Football Academy in Brazil. Data were collected during regular training sessions. After participants had warmed up, players were asked to either dribble the ball or sprint through five custom circuits that varied in average curvature (0-1.37 radians.m-1). In addition, four coaches were asked to rank the players from best to worst in defensive ability. Dribbling, sprinting, and coaches' rankings were then compared with defending performance as assessed in the one vs. one competitions (N = 1090 paired-trials: 40-65 trials per individual), in which they acted as defender or attacker in turn. When defending, the objective was to steal the ball or prevent the attacker from running around them with the ball into a scoring zone. Testing occurred over three days. Overall, dribbling performance (r = 0.56; P = 0.008) and coaches' ranking (r = 0.59; P = 0.004) were significantly related to defensive ability; sprinting performance was not (r = 0.20; P = 0.38). Though dribbling performance and coaches' ranking each explained 30% and 37% of the variance in defensive performance, respectively, the two predictors were not related (r = 0.27; P = 0.23), so combined these traits explained more than half the variance in defensive performance. In conclusion, the current study demonstrates that including only one metric of closed-skill performance-dribbling speed-doubles the ability of coaches to identify their best defensive players in one vs. one scenarios.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312280 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209822 | PLOS |
Plant Biotechnol J
September 2025
Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania, USA.
Black pod disease, caused by a complex of Phytophthora species, poses a severe threat to global cacao production. This study explores the use of CRISPR-Cas9 genome editing to reduce disease susceptibility in Theobroma cacao L. by targeting the TcNPR3 gene, a known negative regulator of plant defence.
View Article and Find Full Text PDFSurg Case Rep
September 2025
Department of Pathology, Self-Defense Forces Central Hospital, Tokyo, Japan.
Introduction: Solitary fibrous tumor (SFT) is a rare mesenchymal neoplasm that most commonly originates in the pleura but can also occur at extrapleural sites, including the abdominal cavity. Among these, primary SFT of the stomach is exceptionally rare. Due to overlapping clinical, endoscopic, and radiologic characteristics, distinguishing SFT from gastrointestinal stromal tumor (GIST) can be particularly challenging.
View Article and Find Full Text PDFPlanta
September 2025
Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, 3603, Lemesos, Cyprus.
Cypriot tomato landraces exhibit partial resistance to Fusarium wilt through distinct jasmonic and salicylic acid-mediated immune responses, offering promising genetic resources for breeding durable tomato cultivars. Fusarium wilt, caused by Fusarium oxysporum f. sp.
View Article and Find Full Text PDFNat Mater
September 2025
Department of Physics and Organic and Carbon Electronics Laboratories (ORaCEL), North Carolina State University, Raleigh, NC, USA.
The number of polymeric and small-molecular acceptors for organic photovoltaics has exploded in the past decade. As a result, physical insights and efforts aiming at elucidating the coupling between composition and behaviour are required more than ever. Here we present an encompassing study into the phase behaviour of 55 polymer:small-molecular acceptor blends, pivotal in determining device performance and stability.
View Article and Find Full Text PDFBiol Rev Camb Philos Soc
September 2025
Department of Biological Sciences, University of Alberta, 116 ST and 83rd Ave, Edmonton, Alberta, T6G 2E9, Canada.
In social species, group functions often benefit from variation among individual group members. Many highly integrated social insect colonies rely on division of labour among colony members and emergent properties of their collective behaviour and physiology. Response threshold models are a prominent proximate explanation of division of labour, but how variation in response thresholds arise is largely unexplored.
View Article and Find Full Text PDF