Results 281 to 290 of about 90,562 (356)

An Elite Haplotype of Nitrogen‐Use‐Efficiency Gene LHT5 Enhances Salt Tolerance in Rice

Plant Biotechnology Journal, Volume 24, Issue 6, Page 3514-3527, June 2026.
ABSTRACT Amino acids serve as fundamental building blocks and signalling molecules in plants, orchestrating stress adaptation mechanisms against diverse biotic and abiotic environmental challenges. However, the mechanism by which plants alter their nutrient metabolism processes to coordinate nitrogen use efficiency (NUE) and salt tolerance remains ...
Saisai Wang, Xingzhou Jiang, Gaoming Chen, Wei Wu, Chen Xu, Mingyu Du, Shuji Xiang, Xinran Cheng, Yunlu Tian, Junjie Tan, Chunming Wang, Jianmin Wan   +11 more
wiley   +1 more source

Meta-QTL mapping for wheat thousand kernel weight. [PDF]

Front Plant Sci
Tan C, Guo X, Dong H, Li M, Chen Q, Cheng M, Pu Z, Yuan Z, Wang J.   +8 more
europepmc   +1 more source

Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice

Plant Biotechnology Journal, Volume 24, Issue 6, Page 3679-3690, June 2026.
ABSTRACT Crop breeding has entered the pangenomics era, unlocking a far more comprehensive view of genetic diversity than a single reference genome can capture. In rice (Oryza sativa), a staple crop critical to global food security, the construction of pangenome resources has uncovered extensive structural variations (SVs), presence/absence variations (
Shuai Nie, Fangping Li, Risheng Li, Jian Wang, Yamei Ma, Chon Kit Kenneth Chan, Junliang Zhao, Haifei Hu   +7 more
wiley   +1 more source

QTL Mapping and Candidate Gene Screening for Enhancing Oil Content in Silage Maize. [PDF]

Plants (Basel)
Wu J, Wang Q, Han W, Zhao Q, Sun D, Shen Z.   +5 more
europepmc   +1 more source

Dynamics of Gene and Allelic Expression During Modern Hybrid Maize Breeding

Plant Biotechnology Journal, Volume 24, Issue 6, Page 3922-3938, June 2026.
ABSTRACT Maize breeding has greatly improved yield through single‐cross hybrids, but the underlying gene regulatory changes remain unclear. This study analysed transcriptomes of landmark maize hybrids and their parents across developmental stages and planting densities.
Xuyang Liu, Yongxiang Li, Chunhui Li, Dengfeng Zhang, Guanhua He, Hui Liu, Shumin Sun, Yu Li, Mei Guo, Tianyu Wang   +9 more
wiley   +1 more source

Combination of QTL mapping and GWAS for fine mapping and gene mining of drought tolerance and seed yield components in faba bean (Vicia faba L.). [PDF]

BMC Plant Biol
Gutierrez N, Torres AM.
europepmc   +1 more source

Fine mapping and candidate gene analysis of a major QTL for grain length on chromosome 5BS in bread wheat

Jianqi Zeng, Dehui Zhao, Yang Li, Yu-feng YANG, Dan Liu, Yubing Tian, F. Wang, Shuanghe Cao, Xian-chun XIA, Zhonghu He, Yong Zhang   +10 more
openalex   +1 more source

AhBWR15, A Novel RLK Gene, Confers Resistance to Ralstonia solanacearum in Peanut

Plant Biotechnology Journal, Volume 24, Issue 6, Page 3861-3875, June 2026.
ABSTRACT Bacterial wilt (BW), a severe soil‐borne disease caused by Ralstonia solanacearum, significantly impedes global peanut production. Despite its impact, the mechanisms underlying BW resistance in peanut remain unclear. Herein, we selected the highly resistant variety Nongdahua108 (H108) and the susceptible variety Nongdahua107 (H107) to develop ...
Zenghui Cao, Kai Zhao, Hao Li, Xingli Ma, Di Cao, Yanzhe Li, Sasa Hu, Qian Ma, Yaoyao Li, Yi Fan, Mengtian Hou, Kunkun Zhao, Ding Qiu, Fangping Gong, Zhongfeng Li, Rui Ren, Dongmei Yin   +16 more
wiley   +1 more source

Integration of QTL mapping and GWAS reveals the complicated genetic architecture of chemical composition traits in tobacco leaves. [PDF]

Front Plant Sci
Ullah A, Tong Z, Kamran M, Lin F, Zhu T, Shahzad M, Umaira, Chen X, Xiao B, Xu H.   +9 more
europepmc   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, Volume 24, Issue 6, Page 4005-4026, June 2026.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source