Results 121 to 130 of about 722,503 (205)

MaizeEar‐SAM: Zero‐shot maize ear phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Quantifying the variation in yield component traits of maize (Zea mays L.), which collectively determine the overall productivity of this globally significant crop, is critical to plant genetics research, plant breeding, and the development of improved agronomic practices.
Hossein Zaremehrjerdi, Lisa Coffey, Talukder Jubery, Huyu Liu, Jon Turkus, Kyle Linders, James C. Schnable, Patrick S. Schnable, Baskar Ganapathysubramanian   +8 more
wiley   +1 more source

National weather and crop bulletin.

, 1887
In 1919, no. 37, the Snow and ice bulletin was combined with this and during winter months the title reads: National weather and crop and snow and ice bulletin.Monthly numbers for 1887 have title: Special bulletin for April, May, June, October, November,
Its. Weather-crop bulletin., United States. Weather Bureau., Its. National weather bulletin., Its. Climate and crop bulletin.   +3 more
core  

LabEmbryoCam: An opensource phenotyping system for developing aquatic animals

HardwareX
Phenomics is the acquisition of high-dimensional data on an individual-wide scale and is proving transformational in areas of biological research related to human health including medicine and the crop sciences.
Ziad Ibbini, Maria Bruning, Sakina Allili, Luke A Holmes, Ellen Tully, Jamie McCoy, Benjamin Larsen, Tony Wilson, Guy Ludford, Jack Barrett-Kelly, John I. Spicer, Oliver Tills   +11 more
doaj   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Phenomics: Emerging Artificial Intelligence Tool in Crop Improvement

International audiencePhenomics, which involves the holistic analysis of plant phenotypes using cutting-edge sensing and data processing technologies, has emerged as an AI-powered technique in plant breeding.
Vairam, N, Murugan, N
core  

Optimization of γ-Aminobutyric Acid Production in Brown Rice via Prolonged Seed Priming

Plants
Germinated whole seeds possess elevated levels of bioactive nutrients; however, their application is hindered by several constraints. The germination process is typically time-consuming, and germinated seeds present challenges in terms of storage and ...
Lingxiang Xu, Xiaoan Wang, Qixiang Li, Yuqing Niu, Guohui Ding, Jiawei He, Weiping Chen, Dagang Tian   +7 more
doaj   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Application of Omics Technologies for Cowpea Improvement

Plant-Environment Interactions, Volume 7, Issue 5, October 2026.
ABSTRACT Cowpea (Vigna unguiculata) is a vital crop for food security, nutrition, and climate resilience in sub‐Saharan African and other semi‐arid regions. However, its improvement is constrained by the complexity of polygenic traits such as drought tolerance, pest resistance, and seed quality.
Junior S. Kamara, Festus O. Olasupo, Abdoul‐Razak Oumarou Mahamane, Katleho S. Selele   +3 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, Volume 49, Issue 10, Page 7714-7726, October 2026.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

Advanced Science, Volume 13, Issue 50, 7 September 2026.
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang, Jie Dai, Ting Zhao, Shengjun Zhao, Hongyu Wu, Jiaying Pan, Yupeng Hao, Ke Nie, Li Yu, Yumeng Zhu, Xiangyi Zhao, Kai Huang, Mengke Zhang, Yongyan Zhao, Yaping Jiang, Siyuan Wang, Yiling Pan, Yubing Chen, Yilai Lin, Wanghong Shi, Yayuan Deng, Jin Han, Jie Li, Xuan Long, Junbin Wang, Zhiyuan Zhang, Zegang Han, Zhanfeng Si, Lei Ju, Jun Li, Tianzhen Zhang, Ji Zhou, Xueying Guan   +32 more
wiley   +1 more source