Results 191 to 200 of about 29,995 (258)

A yield-reducing introgression linked to sd1 in rice. [PDF]

Plant Genome
Furlan F, Angira B, Montiel M, Richards J, Cerioli T, Hernandez C, Fritsche-Neto R, Platten J, Punzalan J, McCouch S, Robbins K, Sha X, Famoso A.   +12 more
europepmc   +1 more source

A cytochrome P450 gene, GmSUR2a, confers submergence tolerance and improves yield in soybean by modulating auxin homeostasis

Journal of Integrative Plant Biology, Volume 68, Issue 10, Page 3628-3643, October 2026.
The key cytochrome P450 gene GmSUR2a enables soybeans to withstand destructive submergence stress. By lowering the level of the plant hormone indole‐3‐acetic acid, this gene improves soybean survival and increases field yield. It offers an important tool for breeding stress‑resilient soybeans, securing food production against extreme weather conditions.
Yangyang Chen, Pingzhang Feng, Mengwei Zheng, Lipei Zhao, Yi Li, Yali Jing, Yisa Wang, Bo Zhang, Changzhong Liu, Chengyu Wei, Jijun Yan, Jinfang Chu, Shanshan Chu, Erhui Xiong, Yongqing Jiao   +14 more
wiley   +1 more source

BSA-Seq-Based QTL Mapping for the Height of the First Fruiting Branch Node of Cotton and the Development of Molecular Markers. [PDF]

Genes (Basel)
Zhao F, Yang T, Wang X, Wang G, Qiao J, Kong X, Liu L, Han W, Yu Y.   +8 more
europepmc   +1 more source

Genomic Structure Predicts Granulovirus Resistance Without a Detectable Life‐History Trade‐Off in Plodia interpunctella

Molecular Ecology, Volume 35, Issue 19, October 2026.
ABSTRACT Understanding the genetic architecture of pathogen resistance and its relationship to host life‐history traits is a fundamental problem in evolutionary biology, yet the conditions under which resistance costs manifest as detectable trade‐offs remain poorly understood.
P. Signe White, Johnathan Lo, Jonathan Barajas, Hailey Burnsed, Noah Parker, Zucel Rodriguez, Natalie Walzer, Peter H. Sudmant, Mike Boots   +8 more
wiley   +1 more source

Unravelling the Genetic Architecture of Flowering in Common Vetch (<i>Vicia sativa</i> L.) Through Multi-Season QTL Mapping. [PDF]

Biology (Basel)
Córdoba EM, González-Verdejo CI, Atienza SG, Nadal S, Ávila CM.   +4 more
europepmc   +1 more source

Predictive evolutionary genomics: principles, validation, and practice

New Phytologist, Volume 252, Issue 1, Page 36-48, October 2026.
Summary Climate change and habitat loss are driving rapid evolutionary responses in populations world‐wide, which creates an urgent need for evolutionary forecasting in conservation and agriculture. Such forecasting can be categorized into three time scales: trait‐based models that use multivariate quantitative genetic equations to project correlated ...
Daniel Ortiz‐Barrientos, Maddie E. James, Yang Liu, Dan Bock, Moisés Exposito‐Alonso, Loren H. Rieseberg   +5 more
wiley   +1 more source

Decoding the genetic architecture of seed quality traits in mungbean through quantitative trait loci mapping. [PDF]

Front Plant Sci
Ren C, Qiao L, Qiao J, Sun H, Li H, Li B, Hao X, Yang F, Huo D.   +8 more
europepmc   +1 more source

Cell‐based crop phenotyping for future climates

New Phytologist, Volume 252, Issue 2, Page 575-587, October 2026.
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Sergey Shabala, Ping Yun, Zhong‐Hua Chen, Meixue Zhou, Min Yu, Nadia Bazihizina   +5 more
wiley   +1 more source

Revisiting the foundation era of plant genomics with a commentary on the pioneering contributions of Prof. Chittaranjan Kole. [PDF]

Plant Genome
Nageswara-Rao M, Pandey S, Bhattacharjee P, Kumar Saini D, Soneji JR, Fakrudin B, Chandappa LH, Khoddamzadeh AA, Tucker DA, Zhang J, Eltaher S, Ali J, Henry R, Porth IM, Radanović A, Hori K, Dwiyanti MS, Branca F, Tiwari S, Blair M, Lim YP, Horn R, Danilevskaya O, Adhikari S.   +23 more
europepmc   +1 more source