Real-time fluorescent quantitative PCR technology is widely used in the agricultural field. Here are some main applications:

Plant genetic breeding

• Gene expression analysis: Study the differences in gene expression of plants at different growth and development stages and under different environmental conditions. For example, in rice, study the expression changes of stress-resistant related genes under stress such as drought and salinity to clarify gene function and regulatory mechanisms.
• Molecular marker-assisted selection: Detect molecular markers closely linked to target traits. For example, in wheat rust resistance breeding, individuals carrying disease-resistant genes are screened through this technology to improve breeding efficiency and accuracy.
• Transgenic plant detection: Identify the copy number, gene expression level and stability of transgenic plants to ensure the safety and effectiveness of transgenic crops.

Plant disease detection and prevention and control

• Pathogen detection and identification: Quickly and sensitively detect plant viruses, bacteria, fungi and other pathogens. For example, detecting grapevine virus E in grapes can achieve early diagnosis and warning.
• Disease monitoring and research on epidemic laws: Continuously monitor the occurrence and prevalence of diseases in the field, understand the temporal and spatial distribution and transmission laws of pathogens, and provide a basis for disease prevention and control.
• Disease resistance assessment: Analyze the expression changes of related genes in plants after inoculation with pathogens, assess the disease resistance level of plants, and screen disease-resistant varieties or materials.

Animal disease diagnosis and prevention and control

• Virus detection: Detect animal viruses such as African swine fever virus, foot-and-mouth disease virus, avian influenza virus, etc., to achieve early diagnosis and rapid screening of diseases.
• Bacteria and parasite detection: Detect bacterial and parasitic infections in animals, such as detecting porcine circovirus and chicken coccidia in pigs and chickens, respectively, to provide a basis for disease treatment.
• Immune effect evaluation: Evaluate the immune effect of vaccines by detecting the expression of immune-related genes or pathogen antibody levels in animals after vaccination, and guide the adjustment of immunization procedures.

Microbial community research

• Soil microbial analysis: Study the types, quantities and diversity of microorganisms in the soil, and understand the relationship between soil microbial community structure and soil fertility and plant growth.
• Plant endophyte research: Analyze the community composition and function of plant endophytes, such as studying the symbiotic relationship between endophytes and plants and exploring beneficial endophyte resources.
• Microbial ecological regulation: Monitor the dynamic changes of microbial communities in agricultural ecosystems, evaluate the impact of ecological regulation measures on microbial communities, and promote the balance and stability of agricultural ecosystems.

Agricultural product quality detection

• Transgenic ingredient detection: Detect transgenic ingredients in agricultural products to ensure consumers’ right to know and choice and meet market supervision needs.
• Microbial contamination detection: Detect pathogenic and spoilage microorganisms in agricultural products to ensure the quality and safety of agricultural products.
• Species identification and traceability: Identify and trace the source of raw materials of agricultural products. For example, detect the authenticity and source of honey to combat counterfeit and shoddy products.