Results 121 to 130 of about 760,293 (222)

Crop HTP Technologies: Applications and Prospects

In order to rapidly breed high-quality varieties, an increasing number of plant researchers have identified the functions of a large number of genes, but there is a serious lack of research on plants’ phenotypic traits.
Tao Gong, Xiuni Li, Menggen Chen, Mei Xu, Wenyu Yang, Weiguo Liu, Shuyuan He, Xiangyao Xu, Fenda Tang   +8 more
core   +1 more source

Early‐life stage phenomic prediction of field agronomic traits across breeding cycles in intermediate wheatgrass

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Perennial grains represent a promising frontier for sustainable agriculture, but breeding progress is constrained by the accessibility of genotyping and the difficulty of evaluating complex traits expressed for multiple years after establishment across heterogeneous environments.
Zachary N. Harris, Jackson Braley, Eric Cassetta, Jared Crain, Lee DeHaan, David Van Tassel, Allison Miller, Matthew J. Rubin   +7 more
wiley   +1 more source

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain quality in durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) remains a major challenge for plant breeders because grain yield and grain protein concentration often show a trade‐off, and both are influenced by grain nitrogen concentration.
A. Pacheco, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source

Phenomic prediction I: Plot‐level prediction of lodging severity in sorghum breeding trials using UAV‐based photogrammetric height data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri, Sean Reynolds Massey‐Reed, Andries Potgieter, Kenneth Laws, Colleen Hunt, Esinam Nancy Amuzu‐Aweh, Mark Cooper, Emma Mace, David Jordan   +8 more
wiley   +1 more source

Maximizing nitrogen stress tolerance through high-throughput phenotyping in rice

Plant Stress
Nitrogen (N) is a significant nutrient element limiting rice yield and quality, a major staple crop consumed worldwide. N deficiency negatively affects the growth and development of rice by impacting vital physiological processes.
Nguyen Trung Duc, Amooru Harika, Dhandapani Raju, Sudhir Kumar, Renu Pandey, Ranjith Kumar Ellur, Gopala Krishnan S, Elangovan Allimuthu, Biswabiplab Singh, Ayyagari Ramlal, Ambika Rajendran, Ranjeet Ranjan Kumar, Madan Pal Singh, Rabi Narayan Sahoo, Viswanathan Chinnusamy   +14 more
doaj   +1 more source

Phenospex Plant Data for Investigating Nitrogen use Under Urease Inhibitor Treatment

The objective of the dataset is to determine whether novel urease inhibitors influence plant development and productivity, and to assess the potential of high-throughput phenomics techniques in validating phenotypic traits for predicting nitrogen ...

core   +1 more source

Root Functional Phenomics Poster for ISRR 2018

, 2018
This poster describes the ongoing work being conducted in the Root Phenomics Laboratory at Noble Research Institute.
Larry York (3849673)
core   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

From Molecules to Fields: Mapping the Thematic Evolution of Intelligent Crop Breeding via BERTopic Text Mining

Agriculture
The convergence of agricultural biotechnology and artificial intelligence is reshaping modern crop improvement. Despite a surge of studies integrating artificial intelligence and biotechnology, the rapidly expanding literature on intelligent crop ...
Xiaohe Liang, Yu Wu, Jiayu Zhuang, Jiajia Liu, Jie Lei, Qi Wang, Ailian Zhou   +6 more
doaj   +1 more source

Whole-plant phenomics

, 2014
Over the last decade, biological sciences have been revolutionised by the adoption of high-throughput omics technologies, and many of the discoveries that have underpinned this revolution have now been adopted for use in plant phenotyping.
Crowe, M., Timothy J. March, Crowe, Mark L., Tilbrook, Joanne, March, T., Mark L. Crowe, Tilbrook, J., March, Timothy J., Joanne Tilbrook   +8 more
core   +1 more source