Development of a Multiplex RT-PCR Detection for Six Viruses Infecting Strawberry.

Strawberry viruses are significant pathogenic agents in strawberry. The development and application of efficient virus detection technology can effectively reduce the economic losses incurred by virus diseases for strawberry cultivators. In order to rapidly identify strawberry virus species and prevent the spread of virus disease, a multiplex reverse transcription polymerase chain reaction system was established for the simultaneous detection and identification of strawberry mild yellow edge virus (SMYEV), strawberry vein banding virus (SVBV), strawberry mottle virus (SMoV), strawberry polerovirus 1 (SPV-1), strawberry pallidosis-associated virus (SPaV), and strawberry crinivirus 4 (SCrV-4).

RTINet: A Lightweight and High-Performance Railway Turnout Identification Network Based on Semantic Segmentation.

To lighten the workload of train drivers and enhance railway transportation safety, a novel and intelligent method for railway turnout identification is investigated based on semantic segmentation. More specifically, a railway turnout scene perception (RTSP) dataset is constructed and annotated manually in this paper, wherein the innovative concept of side rails is introduced as part of the labeling process. After that, based on the work of Deeplabv3+, combined with a lightweight design and an attention mechanism, a railway turnout identification network (RTINet) is proposed.

FabV, the Unique Enoyl-Acyl Carrier Protein Reductase in pv. Associated with Walnut Bacterial Blight, Is Essential for the Growth and Confers Triclosan Resistance to the Strain.

Walnut bacterial blight caused by pv. () is one of the most prevalent diseases of walnut ( spp.), causing significant reductions in nut yield and important losses in economy.