Results 211 to 220 of about 61,045 (270)

Integrated Metabolic and Transcriptomic Profiles Furnish Insights to Flavonoid Variation in Dendrobium officinale From Different Areas in China

open access: yeseFood, Volume 7, Issue 6, December 2026.
Zhejiang‐sourced D. officinale exhibits superior flavonoid content. Integrated metabolomic and transcriptomic analyses reveal key genes regulating flavonoid biosynthesis, elucidating the geographical impact on quality. ABSTRACT Dendrobium officinale (D.
Ziying Wang   +6 more
wiley   +1 more source

Aphid Resistance in Pulse Crops: Sources, Mechanisms, Genetics and Breeding

open access: yesLegume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Aphids are major pests of pulse crops, causing damage through phloem sap feeding and virus transmission. In this context, resistant varieties are central components of sustainable aphid management. This review synthesizes current knowledge on resistance sources, phenotyping strategies, resistance mechanisms, genetic control and breeding ...
Francisco A. Mendes   +3 more
wiley   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh   +4 more
wiley   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal   +8 more
wiley   +1 more source

Determination of dry bean physiological maturity from UAS RGB time series using a stacking ensemble of color‐derived spectral features

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluating physiological maturity is an important trait in dry bean breeding (Phaseolus vulgaris L.), but field scoring can be inaccurate, subjective, and a persistent bottleneck in multi‐environment trials. To address this, we developed a low‐cost, high‐throughput pipeline that predicts plot‐level days after planting at maturity from time ...
Aliasghar Bazrafkan   +4 more
wiley   +1 more source

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