Results 171 to 180 of about 148,351 (253)

Impact of heat exposure during immobilization‐induced de‐training and re‐training on aerobic capacity and haemoglobin mass

open access: yesExperimental Physiology, EarlyView.
Abstract The aim of this work was to assess the effect of heat exposure on cardiorespiratory and haematological responses during de‐training and re‐training. Nineteen men (33.8 ± 2.7 years; 182 ± 5.7 cm, 84.4 ± 9.3 kg) completed 4 weeks of pre‐training followed by heat exposure (HEAT; n = 9) or control (CON; n = 10).
Scott Cocking   +10 more
wiley   +1 more source

Linking ADHD to Depression in Adolescents: the Mediating Role of Social Skills. [PDF]

open access: yesRes Child Adolesc Psychopathol
Loomis AM   +3 more
europepmc   +1 more source

Temporal genetic relationships between growth, development, and malting quality in winter barley (Hordeum vulgare) using aerial imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain characteristics are the cumulative product of growth and development throughout the growing season. In barley (Hordeum vulgare), these traits determine the grain's value for malting purposes. The ability to accurately predict the genetic merit for malting quality is of great interest for barley breeding programs. Same‐season selection on
Amelia Loeb   +10 more
wiley   +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

open access: yesThe 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   +16 more
wiley   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky   +2 more
wiley   +1 more source

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