Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Agronomy  /  Vol: 14 Par: 3 (2024)  /  Artículo
ARTÍCULO
TITULO

Identification of Novel QTL for Seedling Root Architectural Traits in the D Genome of Natural and Resynthetic Allohexaploid Wheat

Huifang Wang    
Bangbang Yang    
Xinyu Zhao    
Hailong Chen    
Fei Liu    
Yating Ru    
Xirui Wei    
Xiaofeng Fu    
Weiwei Guo    
Ximei Li    
Nataliia Golub and Yumei Zhang    

Resumen

Root architectural traits at the seedling stage have been demonstrated to be crucial for the efficient uptake of nutrients and drought tolerance in wheat. To dissect the genetic basis of these traits from the D genome, 182 recombinant inbred lines (RILs) derived from the common wheat TAA10 crossed with resynthesized allohexaploid wheat XX329 possessed similar AABB genomes were used for QTL mapping of five root traits in hydroponic-cultured seedlings, including lateral root number (LRN), seminal root number (SRN), root hair length (RHL), root diameter (RD), and total root volume (TRV). A total of seven QTLs were identified for the five root traits, with six possible novel QTLs for LRN, RHL, RD and TRV, accounting for 4.98?12.17% of phenotypic variation. One QTL (QLrn.qau-5D.2), controlling lateral root number, was fine mapped an approximate 5.0-Mb interval harboring 80 annotated genes, including five auxin-related genes. We further validated that QLrn.qau-5D.2 in NILTAA10 significantly enhanced yield-related traits, such as plant height, spike length, spike compactness, tiller number per plant and grain yield per plant, as comparison with NILXX329. Collectively, these results provide vital insights for fine-mapping QTLs associated with LRN, SRN, RHL, RD and TRV and facilitate the root morphologic designs for enhancing yield performance.

 Artículos similares

       
 
Lexin Zhang, Kuiheng Chen, Liping Zheng, Xuwei Liao, Feiyu Lu, Yilun Li, Yuzhuo Cui, Yaze Wu, Yihong Song and Shuo Yan    
This study introduces a novel high-accuracy fruit fly detection model based on the Transformer structure, specifically aimed at addressing the unique challenges in fruit fly detection such as identification of small targets and accurate localization agai... ver más
Revista: Agriculture

 
Xiuying Xu, Changhao Fu, Yingying Gao, Ye Kang and Wei Zhang    
The origin of seeds is a crucial environmental factor that significantly impacts crop production. Accurate identification of seed origin holds immense importance for ensuring traceability in the seed industry. Currently, traditional methods used for iden... ver más
Revista: Agriculture

 
Fengyun Xie, Gang Li, Hui Liu, Enguang Sun and Yang Wang    
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosi... ver más
Revista: Agriculture

 
Wuying Chen, Jing Li, Lijun Fan, Dandan Qi, Honglu Zhang, Yongchao Hao, Mingmin Liang, Cunyao Bo, Silong Sun, Xiaoqian Wang, Anfei Li, Hongwei Wang, Lingrang Kong and Xin Ma    
Wheat powdery mildew is a fungal disorder caused by Blumeria graminis f. sp. tritici (Bgt) and is a severe and significant threat to the yield and quality of its host. The most practical and environmentally friendly approach to controlling this disease i... ver más
Revista: Agronomy

 
Shuangshuang Lai, Hailin Ming, Qiuyan Huang, Zhihao Qin, Lian Duan, Fei Cheng and Guangping Han    
The efficient management of commercial orchards strongly requires accurate information on plant growing status for the implementation of necessary farming activities such as irrigation, fertilization, and pest control. Crown planar area and plant number ... ver más
Revista: Agronomy