Results 131 to 140 of about 760,293 (222)

Computer vision associated with multivariate genomic selection methods increases yield prediction accuracy in blueberry

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Blueberry (Vaccinium spp.) is among the most consumed soft fruits and an important source of health‐promoting compounds. Among the key traits driving selection in breeding programs, yield is the most important. The standard way to measure yield is harvesting and weighing the total number of berries, a process that is laborious, expensive ...
Matheus M. Suela, Luis F. V. Ferrão, Paul M. Adunola, Camila F. Azevedo, Bruno C. C. Leme, Patricio Munoz   +5 more
wiley   +1 more source

Genomic characterization of plant height and lodging in spring oat (Avena sativa L.) using time‐series aerial sensor data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant height is one of the key economic traits in spring oat (Avena sativa L.) and a major determinant of lodging, and consequently, yield potential. Understanding the genetic basis of the variation in plant height can significantly benefit plant improvement efforts.
Afrina Rahman, Anup Kumar Das, Jayanta Roy, Amandeep, Michael S. McMullen, Paulo Flores, Craig H. Carlson   +6 more
wiley   +1 more source

Realizing the potential of plant genetic resources: the use of phenomics for genebanks

Plants, People, Planet
Societal Impact Statement Genebanks contribute to global food security, directly influencing societal well‐being, by providing access to seed or genetic material that is more resilient to pests, diseases, and environmental stresses.
Kioumars Ghamkhar, Fiona R. Hay, Marleen Engbers, Hannes Dempewolf, Ulrich Schurr   +4 more
doaj   +1 more source

Resolving early growth variation in Pinus radiata: Effective indoor phenotyping of juvenile trees

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Indoor plant phenotyping facilities provide high‐resolution, dynamic trait data not achievable with other systems, but are rarely applied to trees due to size constraints. Using the model conifer Pinus radiata, this study evaluated whether early growth variation among three clonal genotypes can be detected and reliably resolved using indoor ...
S. A. Wakelin, B. Berger, S. Smaill, N. Jewell, C. Brien   +4 more
wiley   +1 more source

Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments

Food and Energy Security
Plant phenomics deals with the measurement of plant phenotypes associated with genetic and environmental variation in controlled environment agriculture (CEA).
Cengiz Kaya
doaj   +1 more source

Reaction norm modeling of high‐dimensional genomic and environmental data improves prediction accuracy in winter wheat

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genomic prediction models that account for genotype‐by‐environment (G × E) have the potential to accelerate the rate of genetic gain for yield and agronomic performance, yet relatively few studies have applied G × E prediction in public soft red winter wheat (Triticum aestivum) breeding programs.
Shailesh Raj Acharya, Julian Garcia‐Abadillo, Jeanette Lyerly, Gina Brown‐Guedira, Diego Jarquin, Nonoy Bandillo   +5 more
wiley   +1 more source

Quantifying genetic and nongenetic improvement for grain yield in faba bean breeding

Crop Science, Volume 66, Issue 6, November/December 2026.
Abstract Faba Bean (Vicia faba) is a cool season legume crop, often grow as a rotation crop to improve sustainability of the farming systems. The Australian faba bean breeding program is publicly funded, with improving grain yield as a key breeding objective to increase grower profitability.
Huanhuan Zhao, Charity Chidzanga, Zulfi Jahufer, Samuel C. Catt   +3 more
wiley   +1 more source

Breeding for multi‐stress resilience in crops: Myth or possibility?

PLANTS, PEOPLE, PLANET, Volume 8, Issue 6, Page 1968-1977, November 2026.
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei, Ian C. Dodd, Rodomiro Ortiz   +2 more
wiley   +1 more source

A national crop wild relative checklist for Zimbabwe reveals edible crop wild relative diversity of regional and global importance

PLANTS, PEOPLE, PLANET, Volume 8, Issue 6, Page 2205-2216, November 2026.
Crop wild relatives (CWR) in Zimbabwe are reservoirs of beneficial agronomic traits, yet they remain under‐documented and poorly conserved. This study developed Zimbabwe's first national CWR checklist based on a conceptual framework combining floristic, ecological and ethnobotanical data, revealing over 2700 taxa, with nearly 1000 edible species ...
Kudakwashe Mutasa, Onismus Chipfunde, Christopher Chapano, Patience Chatukuta   +3 more
wiley   +1 more source

Deep Learning for Field-Based Cereal Phenomics [PDF]

PhD thesis investigating deep learning methods for non-destructive, high-throughput phenotyping in cereal crops, covering NIRS, hyperspectral imaging, UAV-based plot segmentation, image-based disease assessment, and cross-platform deployment of phenomics
Ravichandran, Prabahar
core   +1 more source