Results 71 to 80 of about 4,378 (202)

Field‑Based Dissection of Stomatal Anatomy and Conductance Reveals Stable QTL Under Drought and Heat in Wheat

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal traits balance carbon gain with water loss, yet their breeding potential in wheat remains underexploited. This study investigated physiological and anatomical stomatal responses across 2 years of large‐scale field trials under water‐limitation and warming treatments. Across both seasons, stomatal conductance (gs) declined under stress,
Chaplin Edward, Tanaka Emi, Merchant Andrew, Sznajder Beata, Trethowan Richard, Salter William   +5 more
wiley   +1 more source

Benzoic Acid Secreted From the Chickpea Root Promotes Persistent Colonisation by Specific Soil Microbes

Plant, Cell &Environment, EarlyView.
ABSTRACT The plant root tip is highly sensitive to environmental cues and exerts sensory, chemical and movement responses. However, the microbial diversification at the root tip, and the nature of root‐selection for microbes, are poorly understood. This study investigated root exudation and microbiome colonisation in the chickpea (Cicer arietinum L ...
Yi Zhou, David Fuentes, Andrew Merchant, Brent N. Kaiser, Anteneh Argaw Alemneh, Ruey Toh, Jishun Li, Yanli Wei, Matthew D. Denton   +8 more
wiley   +1 more source

Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil

Plant Phenomics, 2020
Phenomics technologies allow quantitative assessment of phenotypes across a larger number of plant genotypes compared to traditional phenotyping approaches.
Afef Marzougui, Yu Ma, Rebecca J. McGee, Lav R. Khot, Sindhuja Sankaran   +4 more
doaj   +1 more source

Time‐series multi‐omics analysis of micronutrient stress in Sorghum bicolor reveals iron and zinc crosstalk and regulatory network conservation

Plant Biology, EarlyView.
Overlap between Fe and Zn responsive gene regulatory networks (GRNs) were found, indicative of micronutrient crosstalk, and conservation of root and leaf GRNs and genes suggests strong constraint on homeostasis networks in plants. Abstract Micronutrient stress impacts growth, biomass production, and grain yield in crops.
A. Mishra, A. Bhat, S. Kumari, R. Sharma, J. Braynen, D. Tadesse, S. El Alaoui, S. Seaver, N. Grosjean, D. Ware, M. Xie, T. Paape   +11 more
wiley   +1 more source

Advances in the Integration of Genomic and Phenomic Tools in Cowpea Breeding for Improving Stress Resilience and Grain Yield and Quality

Legume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Cowpea (Vigna unguiculata L. Walp) is a multi‐use crop highly valued as a food crop, high‐protein fodder, and sustainable cover crop. Yet, it remains underused, and yields in most growing regions are below the crop's potential due to multiple biotic and abiotic stresses.
Habib Akinmade, Luis Getino, María Muñoz‐Amatriaín, Esteban Rios   +3 more
wiley   +1 more source

A 3D Print Repository for Plant Phenomics

, 2021
A 3D Print Repository for Plant Phenomics05/27/2021 ISRR/ROOTING 2021 ...
openaire   +1 more source

Balancing Short‐Term Genetic Gain and Long‐Term Diversity: Haplotype‐Based Breeding Strategies for Yield Improvement in Chickpea

Legume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Chickpea (Cicer arietinum L.) is one of the most important grain legumes and provides a major source of protein, vitamins and minerals worldwide. Despite decades of traditional breeding delivering significant genetic gains in disease resistance and adaptation, seed yield improvement has advanced only incrementally, constrained by the highly ...
Bhargava Kotte, Rutwik Barmukh, Will Shaffer, Oluwaseun J. Akinlade, Ajaya Karkee, Michael Udvardi, Lee Hickey, Rajeev K. Varshney   +7 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, 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

PHENOME: French Plant Phenomic Center

, 2015
Climate change causes an increased frequency of unfavourable environmental scenarios with abiotic and biotic stresses, requiring the development of novel adapted varieties. Phenotyping is the major limitation for selecting genotypes in this context.
Le Gouis, Jacques, Lucas, Pamela, Baret, Frédéric, Neveu, Pascal, Pommier, Cyril, Hilgert, Nadine, Gouache, David, Pinochet, Xavier, Tardieu, Francois   +8 more
openaire   +4 more sources

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, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source