Results 191 to 200 of about 45,890 (269)
Plant Breeding, EarlyView.ABSTRACT Doubled haploid (DH) technology has been widely adopted in maize (Zea mays L.) breeding programs due to its ability to reduce breeding cycle time and optimize costs. Early ploidy identification is essential for maximizing the efficiency of DH production, particularly prior to chromosome doubling.
Mariana Martins Marcondes +7 more
wiley +1 more source
Restoration Ecology, EarlyView.Abstract Introduction Cooperation among managers of protected areas and federal multiple use lands with private inholdings to increase restoration success and economies of scale creates ecological and regulatory complexity best studied with state‐and‐transition simulation models (STSM).
Louis Provencher +7 more
wiley +1 more source
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
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 +10 more
wiley +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 +4 more
wiley +1 more source
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 +13 more
wiley +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 +12 more
wiley +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman +4 more
wiley +1 more source