期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Fine mapping and cloning of the sterility gene Bra2Ms in nonheading Chinese cabbage(Brassica rapa ssp.chinensis)
1
作者 Liping Song Xia Li +8 位作者 Liguang Tang Chuying Yu Bincai Wang Changbin Gao Yanfeng Xie Xueli Zhang Junliang Wang Chufa Lin Aihua Wang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2024年第4期1195-1204,共10页
The application of a male-sterile line is an ideal approach for hybrid seed production in non-heading Chinese cabbage(Brassica rapa ssp.chinensis).However,the molecular mechanisms underlying male sterility in B.rapa a... The application of a male-sterile line is an ideal approach for hybrid seed production in non-heading Chinese cabbage(Brassica rapa ssp.chinensis).However,the molecular mechanisms underlying male sterility in B.rapa are still largely unclear.We previously obtained the natural male sterile line WS24-3 of non-heading Chinese cabbage and located the male sterile locus,Bra2Ms,on the A2 chromosome.Cytological observations revealed that the male sterility of WS24-3 resulted from disruption of the meiosis process during pollen formation.Fine mapping of Bra2Ms delimited the locus within a physical distance of about 129 kb on the A2 chromosome of B.rapa.The Bra039753 gene encodes a plant homeodomain(PHD)-finger protein and is considered a potential candidate gene for Bra2Ms.Bra039753 was significantly downregulated in sterile line WS24-3 compared to the fertile line at the meiotic anther stage.Sequence analysis of Bra039753 identified a 369 bp fragment insertion in the first exon in male sterile plants,which led to an amino acid insertion in the Bra039753 protein.In addition,the 369 bp fragment insertion was found to cosegregate with the male sterility trait.This study identified a novel locus related to male sterility in non-heading Chinese cabbage,and the molecular marker obtained in this study will be beneficial for the marker-assisted selection of excellent sterile lines in non-heading Chinese cabbage and other Brassica crops. 展开更多
关键词 non-heading Chinese cabbage male sterility bra2ms fine mapping PHD-finger protein
在线阅读 下载PDF
融合特征增强的YOLO-TEC算法设计及其在PCB元器件分类中的应用
2
作者 胡俊 黄牌牌 +2 位作者 高洁 庄立城 刘升 《绵阳师范学院学报》 2026年第2期34-43,共10页
印刷电路板(Printed Circuit Board,PCB)是电子元器件的核心载体,但其元器件普遍具有体积小、数量多、种类复杂等特点,使得传统检测方法效率低下、耗时较长,难以满足智能制造对检测精度与速度的双重要求.为解决上述问题并提升PCB元器件... 印刷电路板(Printed Circuit Board,PCB)是电子元器件的核心载体,但其元器件普遍具有体积小、数量多、种类复杂等特点,使得传统检测方法效率低下、耗时较长,难以满足智能制造对检测精度与速度的双重要求.为解决上述问题并提升PCB元器件的检测与分类性能,提出一种基于YOLOv11改进的专用算法——YOLO-TEC.该算法面向PCB元器件检测的关键难点设计了多重优化策略:一是引入微小目标检测层,以增强多尺度特征提取能力,适配微小元器件的识别需求;二是构建ImproveEdgeDetection模块,强化边缘信息捕获以区分形态相似元器件;三是采用C2BRA模块替代原C2PSA结构,提升特征表达的紧凑性与判别力;四是融合轻量级CPCA注意力机制,在保持精度的同时有效加快推理速度.实验结果表明,与原始YOLOv11模型相比,YOLO-TEC的召回率提升7.2%,精度提高20.9%,mAP50提升14.7%,模型参数量减少约26%,实现了性能与轻量化的双重优化.该算法可精准识别并分类28类常见PCB元器件,具备未知元器件的标识能力,显著提升了PCB检测的精度与效率,为电子制造领域的PCB质量检测提供了高效解决方案,具有良好的实际应用前景. 展开更多
关键词 印刷电路板 YOLOv11 ImproveEdgeDetection C2BRA CPCA
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部