Results 141 to 150 of about 722,503 (205)

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

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

Effect of Acute Heat Stress During Pod Filling on Seed Quality Traits in Lentil (Lens culinaris Medikus)

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Heat stress is an increasing threat to lentil production systems, yet its effects on seed quality traits remain poorly understood. This study evaluated seed quality responses of lentil genotypes grown under control and heat stress conditions across three seasons (2022–2024), with acute heat stress applied during the pod‐filling stage for 3 ...
Minhao Li, Adnan Riaz, Audrey Delahunty, Joe Panozzo, Garry Rosewarne, Hafiz Suleria, Ashley Wallace, Sukhjiwan Kaur   +7 more
wiley   +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

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, Chanderkant Chaudhary, Rajat Pruthi, Mansi Sharma, Bhupinderjeet Singh, Ravi Kiran Reddy Kondi, Mallesham Bulle, Prasanta K. Subudhi   +7 more
wiley   +1 more source

Focus on DnaJ protein research from Arabidopsis to crop improvement

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract DnaJ proteins (Hsp40s) are essential components of the cellular proteostasis network, functioning as molecular co‐chaperones that regulate protein folding, stability, and stress‐responsive homeostasis in plants. Beyond their classical role as Hsp70 partners, accumulating evidence demonstrates that DnaJ proteins participate in diverse ...
Muhammad Arif, Hafiz Mamoon Rehman, Sehrish Bashir, Noman Mahmood, Atul Kumar Srivastava, Yakov Kuzyakov, Moh Sajid Ansari, Hon‐Ming Lam, Mingfang Yang   +8 more
wiley   +1 more source

Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.)

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Seed coat color and patterning are key quality traits in common bean (Phaseolus vulgaris L.) that define market classes and strongly influence consumer preference and market value. These traits are controlled by a complex network of major genes (sometimes with epistatic interactions), which complicates the recovery of desired market class ...
Jayanta Roy, Rian Lee, Caroline Osborne, Phillip N. Miklas, Juan M. Osorno, Phillip E. McClean   +5 more
wiley   +1 more source

Revisiting the Molecular Roadmap for Sugar Crops: Genome Reading, Trait Writing and Variety Redesigning

Plant Biotechnology Journal, Volume 24, Issue 9, Page 5013-5040, September 2026.
ABSTRACT Sugar crops, including but not limited to sugarcane, sugar beet, sweet sorghum and stevia, are major sources of sugar production in the world. However, conventional breeding approaches, limited by long breeding cycles, low efficiency and restricted capacity to improve complex traits in sugar crops, are increasingly insufficient to address the ...
Peilin Wang, Qibin Wu, Wenzhi Wang, Prakash Lakshmanan, Yangrui Li, Khushi Muhammad, Yuguang Wang, Youxiong Que   +7 more
wiley   +1 more source