Beijing Academy of Agricultural and Forestry Sciences

Jimo Huangjiu (JMHJ), a Chinese geographical indication product from Shandong Province, is characterized by distinctive burnt-like and smoky aromas. However, the specific odorants responsible for these sensory attributes remain uncharacterized. In this study, the flavor characteristics of Jimo Huangjiu are characterized through static and dynamic sensory evaluation during the drinking process. This study identified the essential odorants of JMHJ through integrated sensomics analysis. Results revealed pyrazines and phenolic compounds as the characteristic aroma markers responsible for the unique smoky and burnt-like aroma of JMHJ. Ethyl 2-methylpropionate, 4-methylphenol, 4-ethyl-2-methoxyphenol, β-phenylethyl alcohol, 2-ethyl-6-methylpyrazine, 2-ethyl-3-methylpyrazine, 2-methylpyrazine, 2-methoxyphenol, 2-methylphenol, 2,3-dimethylpyrazine, and 2-hydroxy-3-methyl-2-cyclopentenone were confirmed as key odorants in JMHJ. Furthermore, the synergistic interactions between nonanoic acid and phenolic compounds were found to contribute to a Qu-like aroma, representing a novel mechanism for this characteristic sensory attribute in Huangjiu.

Soil-borne diseases have become increasingly serious due to continuous planting. Soil fumigation may be inadequate because of the persistence of soil-borne pathogens on ginger seed rhizome. A combined strategy of soil fumigation and seed rhizome disinfection would be necessary to achieve synergistic control. In this study, the approach of soil fumigation with chloropicrin (CP) coupled with seed rhizome disinfection (Copper, Cu) was first adopted to evaluate the synergistic effects on soil physicochemical properties, enzyme activities and microbial communities, and therefore reveal mechanisms for soil microecological health and crop yield promotion. The results showed the comprehensive strategy could reduce NO3−-N content, and the activities of soil enzymes, while increased NH4+-N content, EX-Cu, and OXI-Cu content, which were positively correlated with ginger yield but negatively correlated with soil-borne pathogens and plant mortality. On the other hand, there was a reduction in bacterial diversity and richness, which was positively correlated with the abundance of soil-borne pathogens. Moreover, some beneficial soil microorganisms’ relative abundance (such as Firmicutes, Actinobacteria, Bacillus, and Sphingomonas.) was increased. The strategy decreased the abundance of Fusarium spp. and Phytophthora spp. by 49.41–90.07% and 43.34–89.21%, respectively. Compared with other treatments, the combination decreased the ginger mortality by 5.70–57.02% and increased the growth of ginger plants and yield by 3.58–139.96%, and 13.11–399.74%, respectively. This study highlights a prospect to promote ginger growth and yield by blocking the transmission of primary infection pathogens in ginger cultivation and improving soil ecological environment.

The formation of waterlogged areas results from the combined effects of external water accumulation and internal water retention. Accurate identification of such areas is a prerequisite for implementing waterlogged farmland remediation. Existing remote sensing-based identification methods suffer from insufficient coupling of systemic factors and limited recognition accuracy. This study proposes a multi-source data coupling approach for precise waterlogged area identification. The method first utilises high-precision Digital Elevation Models (DEM) to extract topographic depressions. Subsequently, it constructs a Soil Waterlogging Potential Index (SWPI) based on soil texture to identify waterlogging-prone areas. Furthermore, it employs the Soil Water Content Index (SWCI) derived from long-term remote sensing data to identify potential waterlogged areas. Finally, spatial overlay techniques are employed to achieve precise identification of waterlogged areas. Experiments conducted on waterlogged areas within China's Northeast black soil region demonstrate the method's feasibility and accuracy through comparative analysis with traditional remote sensing approaches. This research aims to provide technical support for the conservation and utilisation of black soil farmland in Northeast China.