Results 141 to 150 of about 10,835 (252)

Genotype selection in soybean using WAASB and MTSI for seed yield, composition, and fatty acid profiles under irrigated and rainfed conditions

Agrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract Soybean (Glycine max) seed yield and quality are strongly affected by drought, particularly during reproductive stages. We evaluated 22 genotypes under irrigated and rainfed conditions across three Missouri environments (2023–2024) for seed yield, 100 seed weight, protein, oil, and five fatty acids. Mixed models were used to partition genotype,
Francia Ravelombola, Harmeet Singh‐Bakala, Cheryl Adeva, Maiara de Oliveira, Destiny Hunt, Ben Fallen, Grover Shannon, Feng Lin   +7 more
wiley   +1 more source

Centralized Interactive Phenomics Resource: An Integrated Online Phenomics Knowledgebase for Health Data Users [PDF]

Objective: Development of clinical phenotypes from electronic health records (EHRs) can be resource intensive. Several phenotype libraries have been created to facilitate reuse of definitions. However, these platforms vary in target audience and utility.
Cheng, Su-Chun, Galloway, Ashley, Liao, Katherine P, Connatser, Keith, Panickan, Vidul A, Cai, Tianxi, Maripuri, Monika, Whitbourne, Stacey B, Heise, David, Gosian, Jeffrey, Dubreuil, Maureen, Tanukonda, Vidisha, Ho, Yuk-Lam, Cho, Kelly, Davies, Laura, Gaziano, J Michael, Sangar, Rahul, Zimolzak, Andrew J, Russo, John, Muralidhar, Sumitra, Zielinski, Edward, Fontin, Francesca, Murray, Michael, Gagnon, David R, Ramoni, Rachel B, Honerlaw, Jacqueline   +25 more
core   +1 more source

Use of Phenomics in the Selection of UAV-Based Vegetation Indices and Prediction of Agronomic Traits in Soybean Subjected to Flooding

AgriEngineering
Flooding is a frequent environmental stress that reduces soybean growth and grain yield in many producing areas in the world, such as the United States, Southeast Asia, and Southern Brazil.
Charleston dos Santos Lima, Darci Francisco Uhry Junior, Ivan Ricardo Carvalho, Christian Bredemeier   +3 more
doaj   +1 more source

Genomic Innovations in High‐Oil Soybean Breeding: Overcoming Yield Barriers and Climate Resilience Challenges

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, Muhammad Azam, Muhammad Ahsan, Azhar Iqbal, Lili Yu, Jhon Larzabal, Juan E. Rosas, Li‐Juan Qiu   +7 more
wiley   +1 more source

phenome

Citation: 'phenome' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.15977 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Advancing Thermotolerance in Beans: Integrating Physiology, Genomics, and Breeding for Climate Adaptation

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, Shikha Chaudhary, Bhawna Kumari, Uday C. Jha, Mohar Singh, Inderjit Singh, Kamal Dev Sharma, Kadambot H. M. Siddique, P. V. Vara Prasad, Harsh Nayyar   +9 more
wiley   +1 more source

Phenomes

Improvements in genomic technologies have outpaced the most optimistic predictions, allowing industry-scale application of genomic selection. However, only marginal gains in genetic prediction accuracy can now be expected by increasing marker density up to sequence, unless causative mutations are identified.
Perez-Enciso, Miguel||, Steibel, Juan P.
openaire   +1 more source

Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network

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, Wei Cao, Maozu Guo, Le Tian, Lingling Zhao   +4 more
wiley   +1 more source

Arbuscular Mycorrhizal Fungi Can Increase Nitrogen Use Efficiency in Aerobically Grown Rice Under Water‐Limited Conditions

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, Thi Diem Nguyen, Nathaniel Jewell, Chris Brien, Stephanie J. Watts‐Williams   +4 more
wiley   +1 more source

Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework

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, J. Sun, A. Montesinos‐López, P. Pérez‐Rodríguez, P. Vitale, S. Pérez‐Elizalde, R. Howard, O. A. Montesinos López   +7 more
wiley   +1 more source