Yanan Zhao

Ms. Yanan Zhao


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 September 2021 in Remote Sensing
Verified
Journal Article
Open access
PDF file
WLWei Liu
Wei Liu
CSChaofei Sun
Chaofei Sun
YZYanan Zhao
Yanan Zhao
FXFei Xu
Fei Xu
YSYuli Song
Yuli Song
Xiangming XuXiangming Xu
Xiangming Xu
Both wheat powdery mildew severities and nitrogen input levels can lead to changes in spectral reflectance, but they have been rarely studied simultaneously for their effect on spectral reflectance. To determine the effects and influences of different nitrogen input levels on monitoring wheat powdery mildew and estimating yield by near-ground hyperspectral remote sensing, Canopy hyperspectral reflectance data acquired at Feekes growth stage (GS) 10.5.3, 10.5.4, and 11.1 were used to monitor wheat powdery mildew and estimate grain yield under different nitrogen input levels during the 2016–2017, 2017–2018, 2018–2019 and 2019–2020 seasons. The relationships of powdery mildew and grain yield with vegetation indices (VIs) derived from spectral reflectance data across the visible (VIS) and near-infrared (NIR) regions of the spectrum were studied. The relationships of canopy spectral reflectance or first derivative spectral reflectance with powdery mildew did not differ under different nitrogen input levels. However, the dynamics of VIs differed in their sensitivities to nitrogen input levels, disease severity, grain yield, The area of the red edge peak (Σdr680–760 nm) was a better overall predictor for both disease severity and grain yield through linear regression models. The slope parameter estimates did not differ between the two nitrogen input levels at each GSs. Hyperspectral indices can be used to monitor wheat powdery mildew and estimate grain yield under different nitrogen input levels, but such models are dependent on GS and year, further research is needed to consider how to incorporate the growth stage and year-to-year variation into future applications.

9 December 2025 in Agronomy
Verified
Journal Article
Open access
PDF file
YSYuexia Sha
Yuexia Sha
QZQingchao Zeng
Qingchao Zeng
YZYanan Zhao
Yanan Zhao
BYBo Yang
Bo Yang
The root rot of Lycium barbarum represents the most severe soil-borne disease that impedes its production. The management of this disease primarily relies on chemical agents, which pose risk to both the environment and human health. In this study, we isolated Bacillus strains as potential biological control agents. Bai2-32 exhibited the strongest antagonistic activity against all five Fusarium species and demonstrated broad-spectrum antifungal activities. Field experiments further displayed that Bai2-32 provided excellent biocontrol efficacy. To understand the possible genetic determinants for biocontrol traits, we performed genome sequencing. The genome of B. mojavensis Bai2-32 consists of a 4,055,438 bp circular chromosome with a GC content of 43.67%, containing 3986 protein-coding genes. Phylogenetic analysis of Bacillus strains, utilizing a single core-genome approach, clearly placed the strain Bai2-32 within the B. mojavensis clade. Predictive analysis revealed that the genome encoded lipopeptides such as surfactin and fengycin, in addition to several active metabolite synthesis gene clusters. The results further support the potential of B. mojavensis Bai2-32 for application in agricultural production and suggest that it may be a promising biocontrol agent for further studies.

5 August 2026 in Agronomy
Verified
Journal Article
Open access
PDF file
YZYanan Zhao
Yanan Zhao
QZQingchao Zeng
Qingchao Zeng
KLKunzhi Long
Kunzhi Long
QZQian Zhou
Qian Zhou
CHChengrui Huang
Chengrui Huang
QWQi Wang
Qi Wang
The soil-borne oomycete pathogen Phytophthora capsici poses a serious threat to plant growth and results in substantial economic impact on the pepper industry. Therefore, the isolation of multifunctional biocontrol agents has become a major research priority. In this study, we isolated a biocontrol strain, Bacillus subtilis Z-294, which demonstrated strong inhibition of P. capsici in both plate and greenhouse experiments. This strain Z-294 exhibited broad-spectrum antagonistic activities as well as plant growth-promoting ability. Phylogenetic analysis based on core-genome and average nucleotide identity (ANI) further identified Z-294 as B. subtilis. Importantly, we found that the strain Z-294 alleviates the P. capsici disease through mechanisms associated with changes in the plant microbiome. Plants treated with Z-294 showed higher alpha-diversity. The application of B. subtilis Z-294 showed that the relative abundance of Alphaproteobacteria, Bacilli, Bacteroidia, Agaricomycetes, and Eurotiomycetes increased, while the relative abundance of Gammaproteobacteria and Sordariomycetes declined. Strain Z-294 holds great promise as a multifunctional biocontrol agent for the sustainable management of diseases and the enhancement of plant health, laying a solid foundation for its future agricultural applications.