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学者姓名：侯毛毛
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Abstract ：
Gray mold is one of the major diseases affecting tomato production. Its early symptoms are often inconspicuous, yet the disease spreads rapidly, leading to severe economic losses. Therefore, the development of efficient and non-destructive early detection technologies is of critical importance. At present, multispectral imaging-based detection methods are constrained by two major bottlenecks: limited sample size and single modality, which hinder precise recognition at the early stage of infection. To address these challenges, this study explores a detection approach integrating multispectral fluorescence and reflectance imaging, combined with machine learning algorithms, to enhance early recognition of tomato gray mold. Particular emphasis is placed on evaluating the effectiveness of multimodal information fusion in extracting early disease features, and on elucidating the quantitative relationships between disease progression and key physiological indicators such as chlorophyll content, water content, malondialdehyde levels, and antioxidant enzyme activities. Furthermore, an improved WGAN-GP (Wasserstein Generative Adversarial Network with Gradient Penalty) is employed to alleviate data scarcity under small-sample conditions. The results demonstrate that multimodal data fusion significantly improves model sensitivity to early-stage disease detection, while WGAN-GP-based data augmentation effectively enhances learning performance with limited samples. The Random Forest model achieved an early recognition precision of 97.21% on augmented datasets, and transfer learning models attained an overall precision of 97.56% in classifying different disease stages. This study provides an effective approach for the early prediction of tomato gray mold, with potential application value in optimizing disease management strategies and reducing environmental impact.
Keyword ：
disease detection disease detection gray mold gray mold machine learning machine learning multispectral fluorescence-reflectance technology multispectral fluorescence-reflectance technology tomato tomato
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| GB/T 7714 | Zhong, Xiaohao , Li, Huicheng , Cai, Yixin et al. Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning [J]. | HORTICULTURAE , 2025 , 11 (9) . |
| MLA | Zhong, Xiaohao et al. "Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning" . | HORTICULTURAE 11 . 9 (2025) . |
| APA | Zhong, Xiaohao , Li, Huicheng , Cai, Yixin , Deng, Ying , Xu, Haobin , Tian, Jun et al. Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning . | HORTICULTURAE , 2025 , 11 (9) . |
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为揭示不同暗管间距与生物有机肥施用下盐碱地N
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N N
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| GB/T 7714 | 章二子 , 陈竞楠 , 黄艳 et al. 不同暗管间距与生物有机肥施用对盐碱地N [J]. | 节水灌溉 , 2025 , 7 (02) : 15-20,27 . |
| MLA | 章二子 et al. "不同暗管间距与生物有机肥施用对盐碱地N" . | 节水灌溉 7 . 02 (2025) : 15-20,27 . |
| APA | 章二子 , 陈竞楠 , 黄艳 , 田颖 , 金秋 , 侯毛毛 . 不同暗管间距与生物有机肥施用对盐碱地N . | 节水灌溉 , 2025 , 7 (02) , 15-20,27 . |
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为揭示不同暗管间距与生物有机肥施用下盐碱地N
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N N
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| GB/T 7714 | 章二子 , 陈竞楠 , 黄艳 et al. 不同暗管间距与生物有机肥施用对盐碱地N 2 O排放的影响研究 [J]. | 节水灌溉 , 2025 , PageCount-页数: 7 (02) : 15-20,27 . |
| MLA | 章二子 et al. "不同暗管间距与生物有机肥施用对盐碱地N 2 O排放的影响研究" . | 节水灌溉 PageCount-页数: 7 . 02 (2025) : 15-20,27 . |
| APA | 章二子 , 陈竞楠 , 黄艳 , 田颖 , 金秋 , 侯毛毛 . 不同暗管间距与生物有机肥施用对盐碱地N 2 O排放的影响研究 . | 节水灌溉 , 2025 , PageCount-页数: 7 (02) , 15-20,27 . |
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设施栽培氮肥投入大、残留高，过量氮肥残留导致土壤环境恶化，然而，残留氮也是重要的土壤氮素资源。为研究不同水分调控方案对土壤残留氮分布和再利用的影响，采用15N同位素标记技术，种植2茬青梗菜，首茬青梗菜设N1、N2、N3共3种施氮水平，分别为150、225、300 kg/hm~2的15NH2CO215NH2），二茬青梗菜设W1、W2、W3共3种水分下限方案（占田间持水量的百分数），分别为60%、70%和80%，观测不同处理下残留氮的分布、再利用和平衡规律。研究结果表明：N1-N3处理共有72.3、123.6和195.3 kg/hm~2的氮肥残留于0～60 cm土体中，主要以矿质态存在。在N1、N2和N3共3种残留氮场景下，均以W2处理根系鲜重最大，分别达到0.182、0.188和0.195 g/株。不同处理以W2N1处理青梗菜残留氮利用效率最高，达到5.4%。在相同土壤氮残留量条件下，W2处理残留氮利用效率显著（p<0.05）高于W1和W3。前茬施氮量越高，残留氮肥在后茬栽培过程中的损失风险越大；控水下限越高，残留氮更易向40 cm以下土层迁移，总损失量也越大，与W1相比，W3处理残留氮损失量增加了29.9%～66.7%(2.29～6.97 kg/hm~2)。推荐70%控水下限作为提升残留氮利用效率的最优水分调控方案。
Keyword ：
施氮量 施氮量 残留氮再利用 残留氮再利用 残留氮分布 残留氮分布 水分调控 水分调控 灌水下限 灌水下限 青梗菜 青梗菜
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| GB/T 7714 | 章二子 , 翟亚明 , 钟凤林 et al. 不同控水下限对设施青梗菜田残留氮分布及再利用的影响 [J]. | 节水灌溉 , 2024 , 7 (01) : 109-114,127 . |
| MLA | 章二子 et al. "不同控水下限对设施青梗菜田残留氮分布及再利用的影响" . | 节水灌溉 7 . 01 (2024) : 109-114,127 . |
| APA | 章二子 , 翟亚明 , 钟凤林 , 侯毛毛 . 不同控水下限对设施青梗菜田残留氮分布及再利用的影响 . | 节水灌溉 , 2024 , 7 (01) , 109-114,127 . |
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Superoxide dismutase (SOD) is an important antioxidant metalloenzyme present in plants that plays a vital role in plant growth and development, but studies on the SOD gene family in Pakchoi are lacking. In this study, we identified 13 SOD genes from pakchoi, including three MnSODs, five Cu/ZnSODs, and five FeSODs. Through structural analysis, the gene structures and motif patterns in the three subfamilies showed a high degree of conservation. From an evolutionary point of view, gene duplication is an important pathway driving the evolutionary development of the SOD gene family. In addition, by analyzing the structure and function of BchSOD proteins, most of the genes were shown to be involved in different developmental stages of pakchoi, and their expression was shown to be regulated by external conditions such as light, phytohormones, and abiotic stress. qPCR results revealed that BchSODs were expressed in different parts of pakchoi, and most of the genes were expressed in response to abiotic stresses (salt and drought) and hormones (GA and MeJA). In addition, the BchFSD2 gene was studied in depth, and subcellular localization confirmed that the BchFSD2 gene was expressed in plant chloroplasts. Overexpression of BchFSD2 promoted salt tolerance, limited superoxide anion and MDA production, and increased antioxidant enzyme activities in Arabidopsis. In summary, the BchSOD gene family was comprehensively analyzed in this study to provide new insights for a better understanding of BchSOD function and to improve salt tolerance in pakchoi.
Keyword ：
abiotic stress abiotic stress genome-wide characterization genome-wide characterization pakchoi pakchoi superoxide dismutase (SOD) superoxide dismutase (SOD)
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| GB/T 7714 | Zhou, Yuqi , Li, Shuhao , Ran, Shengxiang et al. Genome-Wide Identification and Characterization of the Superoxide Dismutase (SOD) Gene Family in Pakchoi and the Role of the BchFSD2 Gene in the Salt Stress Toleran [J]. | AGRONOMY-BASEL , 2024 , 14 (2) . |
| MLA | Zhou, Yuqi et al. "Genome-Wide Identification and Characterization of the Superoxide Dismutase (SOD) Gene Family in Pakchoi and the Role of the BchFSD2 Gene in the Salt Stress Toleran" . | AGRONOMY-BASEL 14 . 2 (2024) . |
| APA | Zhou, Yuqi , Li, Shuhao , Ran, Shengxiang , Xu, Yang , Hou, Maomao , Han, Mingxuan et al. Genome-Wide Identification and Characterization of the Superoxide Dismutase (SOD) Gene Family in Pakchoi and the Role of the BchFSD2 Gene in the Salt Stress Toleran . | AGRONOMY-BASEL , 2024 , 14 (2) . |
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Cytokinins (CKs) are among the hormones that regulate plants' growth and development, and the CKX and IPT genes, which are CK degradation and biosynthesis genes, respectively, play important roles in fine-tuning plants' cytokinin levels. However, the current research on the function of IPT and CKX in cucumber's growth, development, and response to abiotic stress is not specific enough, and their regulatory mechanisms are still unclear. In this study, we focused on the IPT and CKX genes in cucumber, analyzed the physiological and biochemical properties of their encoded proteins, and explored their expression patterns in different tissue parts and under low light, salt stress, and drought stress. Eight CsCKX and eight CsIPT genes were identified from the cucumber genome. We constructed a phylogenetic tree from the amino acid sequences and performed prediction analyses of the cis-acting elements of the CsCKX and CsIPT promoters to determine whether CsCKXs and CsIPTs are responsive to light, abiotic stress, and different hormones. We also performed expression analysis of these genes in different tissues, and we found that CsCKXs and CsIPTs were highly expressed in roots and male flowers. Thus, they are involved in the whole growth and development process of the plant. This paper provides a reference for further research on the biological functions of CsIPT and CsCKX in regulating the growth and development of cucumber and its response to abiotic stress.
Keyword ：
abiotic stress response abiotic stress response CsCKXs CsCKXs CsIPTs CsIPTs cucumber cucumber growth and development growth and development
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| GB/T 7714 | Xu, Yang , Ran, Shengxiang , Li, Shuhao et al. Genome-Wide Identification and Abiotic Stress Expression Analysis of CKX and IPT Family Genes in Cucumber (Cucumis sativus L.) [J]. | PLANTS-BASEL , 2024 , 13 (3) . |
| MLA | Xu, Yang et al. "Genome-Wide Identification and Abiotic Stress Expression Analysis of CKX and IPT Family Genes in Cucumber (Cucumis sativus L.)" . | PLANTS-BASEL 13 . 3 (2024) . |
| APA | Xu, Yang , Ran, Shengxiang , Li, Shuhao , Lu, Junyang , Huang, Weiqun , Zheng, Jingyuan et al. Genome-Wide Identification and Abiotic Stress Expression Analysis of CKX and IPT Family Genes in Cucumber (Cucumis sativus L.) . | PLANTS-BASEL , 2024 , 13 (3) . |
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Nonheading Chinese cabbage is an important leafy vegetable, and quantitative identification and automated analysis of nonheading Chinese cabbage leaves are crucial for cultivating new varieties with higher quality, yield, and resistance. Traditional leaf phenotypic analysis relies mainly on phenotypic observation and the practical experience of breeders, leading to issues such as time consumption, labor intensity, and low precision, which result in low breeding efficiency. Considering these issues, a method for the extraction and analysis of phenotypes of nonheading Chinese cabbage leaves is proposed, targeting four qualitative traits and ten quantitative traits from 1500 samples, by integrating deep learning and OpenCV image processing technology. First, a leaf classification model is trained using YOLOv8 to infer the qualitative traits of the leaves, followed by the extraction and calculation of the quantitative traits of the leaves using OpenCV image processing technology. The results indicate that the model achieved an average accuracy of 95.25%, an average precision of 96.09%, an average recall rate of 96.31%, and an average F1 score of 0.9620 for the four qualitative traits. From the ten quantitative traits, the OpenCV-calculated values for the whole leaf length, leaf width, and total leaf area were compared with manually measured values, showing RMSEs of 0.19 cm, 0.1762 cm, and 0.2161 cm2, respectively. Bland-Altman analysis indicated that the error values were all within the 95% confidence intervals, and the average detection time per image was 269 ms. This method achieved good results in the extraction of phenotypic traits from nonheading Chinese cabbage leaves, significantly reducing the personpower and time costs associated with genetic resource analysis. This approach provides a new technique for the analysis of nonheading Chinese cabbage genetic resources that is high-throughput, precise, and automated.
Keyword ：
deep learning deep learning leaf phenotype leaf phenotype nonheading Chinese cabbage nonheading Chinese cabbage OpenCV OpenCV
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| GB/T 7714 | Xu, Haobin , Fu, Linxiao , Li, Jinnian et al. A Method for Analyzing the Phenotypes of Nonheading Chinese Cabbage Leaves Based on Deep Learning and OpenCV Phenotype Extraction [J]. | AGRONOMY-BASEL , 2024 , 14 (4) . |
| MLA | Xu, Haobin et al. "A Method for Analyzing the Phenotypes of Nonheading Chinese Cabbage Leaves Based on Deep Learning and OpenCV Phenotype Extraction" . | AGRONOMY-BASEL 14 . 4 (2024) . |
| APA | Xu, Haobin , Fu, Linxiao , Li, Jinnian , Lin, Xiaoyu , Chen, Lingxiao , Zhong, Fenglin et al. A Method for Analyzing the Phenotypes of Nonheading Chinese Cabbage Leaves Based on Deep Learning and OpenCV Phenotype Extraction . | AGRONOMY-BASEL , 2024 , 14 (4) . |
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我国是人均水资源匮乏的国家，节水灌溉对于绿色农业和经济社会的可持续发展具有重要现实意义。本文围绕节水灌溉对块根作物产量与品质、农田土壤微生物的影响，阐述当前研究进展，并提出亟待解决的关键问题，以期为块根作物增产提质和水资源高效利用提供理论依据。
Keyword ：
产量 产量 品质 品质 土壤微生物 土壤微生物 块根作物 块根作物 节水灌溉 节水灌溉
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| GB/T 7714 | 黄艳 , 金秋 , 陈竞楠 et al. 节水灌溉对块根作物和土壤微生物影响的研究进展 [J]. | 中国资源综合利用 , 2024 , 42 (04) : 115-119 . |
| MLA | 黄艳 et al. "节水灌溉对块根作物和土壤微生物影响的研究进展" . | 中国资源综合利用 42 . 04 (2024) : 115-119 . |
| APA | 黄艳 , 金秋 , 陈竞楠 , 肖颖 , 佘翔宇 , 侯毛毛 . 节水灌溉对块根作物和土壤微生物影响的研究进展 . | 中国资源综合利用 , 2024 , 42 (04) , 115-119 . |
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Lettuce is a water-sensitive stem-used plant, and its rapid growth process causes significant disturbances to the soil. Few studies have focused on the gaseous carbon emissions from lettuce fields under different irrigation methods. Therefore, this study investigated the effect of different drip-irrigation lower limits and methods (drip and furrow irrigation) on greenhouse gas (CO2, CH4) emissions from lettuce fields. Thus, drip irrigation (DI) was implemented using three different lower limits of irrigation corresponding to 75%, 65%, and 55% of the field capacity, and named DR1, DR2, and DR3, respectively. Furrow irrigation (FI) was used as a control treatment. The CO2 and CH4 emission fluxes, soil temperature, and soil enzyme activities were detected. The results showed that the cumulative CO2 emission was highest under DR3 and relatively lower under DR1. For the FI treatment, the cumulative CO2 emission (382.7 g C m-2) was higher than that under DR1 but 20.2% lower than that under DR2. The cumulative CH4 emissions under FI (0.012 g C m-2) were the greatest in the whole lettuce growth period, while DR2 and DR3 treatments emitted lower amounts of CH4. The irrigation method considerably enhanced the activity of urease and catalase, meanwhile promoting CO2 emission. The low irrigation amount each time combined with high irrigation frequency reduced soil CO2 emission while increasing CH4 emission. From the perspective of the total reduction of gaseous carbon, DR1 is the optimal drip irrigation method among all the irrigation lower limits and methods.
Keyword ：
emission reduction emission reduction emissions emissions greenhouse gases greenhouse gases irrigation strategies irrigation strategies water-saving irrigation water-saving irrigation
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| GB/T 7714 | Wang, Jinwei , Hamoud, Yousef Alhaj , Zhu, Qinyuan et al. Soil Gaseous Carbon Emissions from Lettuce Fields as Influenced by Different Irrigation Lower Limits and Methods [J]. | AGRONOMY-BASEL , 2024 , 14 (3) . |
| MLA | Wang, Jinwei et al. "Soil Gaseous Carbon Emissions from Lettuce Fields as Influenced by Different Irrigation Lower Limits and Methods" . | AGRONOMY-BASEL 14 . 3 (2024) . |
| APA | Wang, Jinwei , Hamoud, Yousef Alhaj , Zhu, Qinyuan , Shaghaleh, Hiba , Chen, Jingnan , Zhong, Fenglin et al. Soil Gaseous Carbon Emissions from Lettuce Fields as Influenced by Different Irrigation Lower Limits and Methods . | AGRONOMY-BASEL , 2024 , 14 (3) . |
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1-deoxy-D-xylulose-5-phosphate synthase (DXS) is a rate-limiting enzyme in terpene synthesis that can affect the accumulation of secondary metabolites in plants. In this study, three DXS gene family members were identified in the tomato genome-wide database. Using bioinformatics methods, we analyzed the gene structure, evolutionary affinities, and cis-acting elements of the SlDXS gene family members. Promoters of SlDXS genes contain plant hormone-responsive elements such as the CGTCA-motif, TGACG-motif, ABRE, TCA-element, TGA-element, ERE, CAT-box, and AACA-motif, which suggested that the SlDXS gene family may play an important role in hormone response. The RT-qPCR analysis showed that the tomato DXS2 gene was able to respond upon exposure to methyl jasmonate (MeJA). The construction of a virus-induced gene silencing (VIGS) vector for the SlDXS gene showed that the SlDXS2 gene was also able to respond to MeJA in silenced plants, but the induction level was lower relative to that of wild-type plants. The SlDXS1 gene is associated with the synthesis of photosynthetic pigments. This study provides a reference for the further elucidation of the DXS gene's biological function in the terpenoid synthesis pathway in tomatoes.
Keyword ：
DXS DXS expression analysis expression analysis gene silencing gene silencing tomato tomato
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| GB/T 7714 | Ge, Haicui , Lu, Junyang , Han, Mingxuan et al. Identification and Functional Analysis of 1-Deoxy-D-xylulose-5-phosphate Synthase Gene in Tomatoes (Solanum lycopersicum) [J]. | HORTICULTURAE , 2024 , 10 (3) . |
| MLA | Ge, Haicui et al. "Identification and Functional Analysis of 1-Deoxy-D-xylulose-5-phosphate Synthase Gene in Tomatoes (Solanum lycopersicum)" . | HORTICULTURAE 10 . 3 (2024) . |
| APA | Ge, Haicui , Lu, Junyang , Han, Mingxuan , Lu, Linye , Tian, Jun , Zheng, Hongzhe et al. Identification and Functional Analysis of 1-Deoxy-D-xylulose-5-phosphate Synthase Gene in Tomatoes (Solanum lycopersicum) . | HORTICULTURAE , 2024 , 10 (3) . |
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