Results 141 to 150 of about 4,964 (232)
Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges [PDF]
Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.
Thai Thanh Tuan +3 more
core +1 more source
Legume Science, Volume 8, Issue 3, September 2026.ABSTRACT Soybean (Glycine max L.) is the world's most important oilseed crop, supplying 25% of world‘s edible oil and 66% of feed protein. This review address genomic innovations to overcome yield constraints and climate vulnerability (especially drought stress) in high‐oil soybean breeding.
Mujeeb Ur Rehman +7 more
wiley +1 more source
ARADEEPOPSIS, an Automated Workflow for Top-View Plant Phenomics using Semantic Segmentation of Leaf States. [PDF]
Plant Cell, 2020 Hüther P +4 more
europepmc +1 more source
Legume Science, Volume 8, Issue 3, September 2026.ABSTRACT Rising global temperatures increasingly threaten bean production and the food security of millions of people who depend on these protein‐rich legumes. Heat stress during the reproductive stages induces pollen sterility, flower abscission, and disruptions in source–sink relationships, resulting in yield losses of 30%–40% or more when critical ...
Aastha Sharda +9 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 3, September 2026.Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan +4 more
wiley +1 more source
Advanced imaging tools for plant phenotyping [PDF]
, 2017 High throughput plant phenotyping, also called plant phenomics, is an emerging and fast growing research field that aims to bridge the existing gap between genomics and plant breeding, by solving the so-called phenotyping bottleneck.
MENESATTI, P. +3 more
core
Journal of Sustainable Agriculture and Environment, Volume 5, Issue 3, September 2026.ABSTRACT Rice is a vital staple crop for more than half of the global population, but water limitations threaten its production under flooded conditions. A transition to aerobic production of rice would ease water limitations but may increase nutrient management issues. Arbuscular mycorrhizal (AM) fungi could help by boosting nutrient and water uptake,
Alison R. Gill +4 more
wiley +1 more source
The Plant Genome, Volume 19, Issue 3, September 2026.Abstract The rapid expansion of genomic, environmental, phenomic, and other high‐dimensional data sources has transformed genomic prediction in plant breeding. However, the terms multimodal, interaction modeling, and multimodule architecture are often used inconsistently, generating ambiguity regarding whether they refer to biological assumptions, data
J. Crossa +7 more
wiley +1 more source
Molecular insights and translational opportunities to enhance heat tolerance in rice
The Plant Genome, Volume 19, Issue 3, September 2026.Abstract Heat stress is an increasingly serious threat to rice (Oryza sativa L.) productivity, yet the genetic and regulatory architecture underlying thermotolerance remain poorly resolved and fragmented across studies. Earlier research focused on individual pathways or specific developmental stages; however, recent advances now support an integrated ...
Prabhat Rana +7 more
wiley +1 more source