Results 251 to 260 of about 392,102 (294)

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Osval A. Montesinos‐López   +8 more
wiley   +1 more source

Effectiveness of low‐density high‐throughput marker platform and easy‐to‐measure traits for genomic prediction of biomass yield in oat (Avena sativa L.)

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale   +14 more
wiley   +1 more source

Applying UAV-based crop height to monitor biomass, N-concentration, and N-uptake in winter wheat [PDF]

open access: diamond
Georg Bareth   +5 more
openalex   +1 more source

Frozen Soil Hydrological Processes and Their Effects: A Review and Synthesis

open access: yesReviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Frozen soils, including seasonally frozen ground and permafrost, are rapidly changing under a warming climate, with cascading effects on water, energy, and carbon cycles. We synthesize recent advances in the physics, observation, and modeling of frozen‐soil hydrology, emphasizing freeze–thaw dynamics, infiltration regimes and preferential flow,
Ying Zhao   +12 more
wiley   +1 more source

Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics

open access: yesApplied AI Letters, Volume 7, Issue 1, February 2026.
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga   +4 more
wiley   +1 more source

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