Results 201 to 210 of about 904,528 (289)

Effects of the Football+ and 11+ Warm‐Up Programs on Motor Performance Among Amateur Female Players: A 12‐Week Intervention With a 10‐Week Follow‐Up

European Journal of Sport Science, Volume 26, Issue 12, December 2026.
ABSTRACT This three‐armed cluster‐allocated interventional study aimed to investigate the effects of a 12‐week Football+ and 11+ warm‐up programs on motor performance and the retention of potential adaptations following a 10‐week no‐intervention period.
Mojtaba Asgari, Martin Hägglund, Marcus Schmidt, Benedikt Terschluse, Maximilian Sueck, Thomas Jaitner   +5 more
wiley   +1 more source

Genomic prediction of regional-scale performance in switchgrass (Panicum virgatum) by accounting for genotype-by-environment variation and yield surrogate traits. [PDF]

G3 (Bethesda)
Tilhou NW, Bonnette J, Boe AR, Fay PA, Fritschi FB, Mitchell RB, Rouquette FM, Wu Y, Jastrow JD, Ricketts M, Maher SD, Juenger TE, Lowry DB.   +12 more
europepmc   +1 more source

Biological Flora of New Zealand 17: Kunzea ericoides (Myrtaceae), Kānuka

New Zealand Journal of Botany, Volume 64, Issue 4, December 2026.
This review summarises the taxonomic status, morphology, physiology, ecology, plant communities, mycological, invertebrate and vertebrate interactions and human use of the New Zealand endemic tree Kunzea ericoides (A. Rich.) Joy Thomps. (kānuka) (Myrtaceae).
P. J. Bellingham, M. S. McGlone, I. A. Dickie, N. Harcourt, P. B. Heenan, J. K. McCarthy, C. H. Watts, M. C. Smale, S. J. Richardson   +8 more
wiley   +1 more source

Moderate Light Intensity Optimizes Forage Nutritive Value While Maintaining Morphophysiological Stability and Secondary Metabolite Concentrations in <i>Plantago lanceolata</i> L. Under Controlled Environmental Conditions. [PDF]

Plants (Basel)
Merino VM, Piña LF, Rivero MJ, Stolpe NB, Bascuñán LL, Castro PA, Ortiz JM, López MD, Gómez GE, Concha BR.   +9 more
europepmc   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Hippo in smooth muscle - a therapeutic target in vascular diseases driven by aging and hypertension. [PDF]

Front Physiol
Albinsson S, Rippe C, Daoud F, Bastrup JA, Holmberg J, Jepps TA, Swärd K.   +6 more
europepmc   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source

Sand Enteropathy-What We Know So Far and Why There Is Still So Much to Learn. [PDF]

Animals (Basel)
Lousberg LK, Barton AK.
europepmc   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source