Results 291 to 300 of about 6,292,229 (390)

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

The Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

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

The 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, Felipe Sabadin, Alexis Perry, Harmonie Bettenhausen, Gina Brown‐Guedira, Jared Smith, Kimberly Howell, Jason Walling, Hannah Uhlmann, Wynse Brooks, Nicholas Santantonio   +10 more
wiley   +1 more source

Optimizing autofocus under multispectral lighting via enhanced SIFT and Pearson correlation coefficient. [PDF]

PLoS One
Ma C, Zhang M, Dai Z, Zhang Q, Ma J, Niu X, Yan Y.   +6 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, Vincent Segura   +13 more
wiley   +1 more source

The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring. [PDF]

Sci Data
Chong YL, Krämer J, Chakhvashvili E, Marks E, Esser F, Dreier A, Rosu RA, Warstat K, Pude R, Behnke S, Muller O, Rascher U, Kuhlmann H, Stachniss C, Behley J, Klingbeil L.   +15 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Dataset for weed detection in fruit orchards. [PDF]

Data Brief
Salcedo-Navarro A, Montalban-Faet G, Garcia-Pineda M, Segura-Garcia J.   +3 more
europepmc   +1 more source

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

The 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, Joel A. Martínez‐Regalado, Cintia Leonora Murillo‐Avalos, Andrew W. Herr, Abelardo Montesinos‐López, Iván Delgado‐Enciso, Jaime Cuevas, José Crossa, Arron H. Carter   +8 more
wiley   +1 more source

Glacier‐Atmosphere Interactions and Feedbacks in High‐Mountain Regions ‐ A Review

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Mountain glaciers are among the natural systems most vulnerable to climate change. However, their interactions with the atmosphere are complex and not fully understood. These interactions can trigger rapid adjustments and climate feedbacks that either amplify or attenuate atmospheric signals, influencing both glacier response and large‐scale ...
T. Sauter, B. W. Brock, E. Collier, B. Goger, A. R. Groos, K. F. Haualand, R. Mott, L. Nicholson, R. Prinz, T. E. Shaw, I. Stiperski, A. Georgi, M. Haugeneder, A. Mandal, D. Reynolds, M. Saigger, J. E. Sicart, A. Voordendag   +17 more
wiley   +1 more source