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学者姓名：侯毛毛
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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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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 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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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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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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When optimizing irrigation methods, much consideration is given to crop growth indicators while less attention has been paid to soil's gaseous carbon (C) and nitrogen (N) emission indicators. Therefore, adopting an irrigation practice that can reduce emissions while maintaining crop yield and quality is of great interest. Thus, open-field experiments were conducted from September 2020 to January 2022 using a single-factor randomized block design with three replications. The lettuce plants ("Feiqiao Lettuce No.1") were grown using four different irrigation methods established by setting the lower limit of drip irrigation to 75%, 65%, and 55% of soil water content at field capacity corresponding to DR1, DR2, and DR3, respectively. Furrow irrigation (FI) was used as a control. Crop growth indicators and soil gas emissions were observed. Results showed that the mean lettuce yield under DR1 (64,500 kg/ha) was the highest, and it was lower under DR3 and FI. The lettuces under DR3 showed greater concentrations of crude fiber, vitamin C, and soluble sugar, and a greater nitrate concentration. Compared with FI, the DR treatments were more conducive to improving the comprehensive quality of lettuce, including the measured appearance and nutritional quality. Among all the irrigation methods, FI had the maximum cracking rate of lettuce, reaching 25.3%, 24.6%, and 22.7%, respectively, for the three continuous seasons. The stem cracking rates under DR2 were the lowest-only 10.1%, 14.4%, and 8.2%, respectively, which were decreased to nearly half compared with FI. The entropy model detected that the weight coefficient evaluation value of DR2 was the greatest, reaching 0.93, indicating that the DR2 method has the optimal benefits under comprehensive consideration of water saving, yield increase, quality improvement, and emission reduction.
Keyword ：
drip irrigation drip irrigation emission reduction emission reduction entropy weight coefficient entropy weight coefficient lettuce lettuce
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| GB/T 7714 | Hou, Maomao , Zhang, Houdong , Shaghaleh, Hiba et al. Optimization of a Lower Irrigation Limit for Lettuce Based on Comprehensive Evaluation: A Field Experiment [J]. | PLANTS-BASEL , 2024 , 13 (6) . |
| MLA | Hou, Maomao et al. "Optimization of a Lower Irrigation Limit for Lettuce Based on Comprehensive Evaluation: A Field Experiment" . | PLANTS-BASEL 13 . 6 (2024) . |
| APA | Hou, Maomao , Zhang, Houdong , Shaghaleh, Hiba , Chen, Jingnan , Zhong, Fenglin , Hamoud, Yousef Alhaj et al. Optimization of a Lower Irrigation Limit for Lettuce Based on Comprehensive Evaluation: A Field Experiment . | PLANTS-BASEL , 2024 , 13 (6) . |
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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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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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Tomato plants are easily infected by pests and fungi, which seriously influences the yield and quality. The objective was to determine the effect of five types of nitrogen (N) treatments on volatile organic compounds (VOCs) by determining the changes in genes related to phenylalanine metabolism, amino acid biosynthesis and plant-pathogen interaction in tomato leaf during growth. The results indicated that low N treatment (1/20 N and 1/5 N) promoted the production of VOCs compared to high N treatment (2 N and 3 N). Moreover, low N treatment enhanced the levels of terpenoids (alpha-pinene, camphene, beta-ocimene, D-limonene, caryophyllene and humulene), terpineol, carveol, (E)-2-hexanal, methylis salicylas and cyclobutene. 2 N treatment upregulated the differentially expressed genes (DEGs) involved in phenylalanine metabolism and amino acid biosynthesis, which may influence peroxidase, 4-coumarate-CoA ligase, 4-hydroxyphenylpyruvate dioxygenase, caffeoyl-CoA O-methyltransferase, tyrosine aminotransferase, glycine hydroxymethyltransferase, anthranilate phosphoribosyltransferase, branched-chain amino acid aminotransferase, pyruvate kinase (PK), fructose-bisphosphate aldolase, and other enzymes. These enzymes could promote the synthesis of VOCs. Additionally, the DEGs in plant-pathogen interaction have a significant up-regulated trend in 2 N and 3 N compared with 1/20 N, which maybe a negative feedback regulation. Responding the low N could enhance the content of VOCs and the defense capacity in tomato. In summary, gene expression levels showed that high N could promote the up-regulation of VOCs related genes and the decreased content of VOCs maybe a negative feedback regulation in high N groups. Meanwhile, the change of gene in plant-pathogen interaction also demonstrate a negative feedback regulation in 2 N. Low N treatment (1/20 and 1/5 N) enhances the accumulation of VOCs content in tomato leaf.High N treatment upregulates the DEGs involved phenylalanine metabolism and amino acid biosynthesis compared to the 1 N treatment.The change of gene in plant-pathogen interaction also demonstrate low N can enhance the defense capacity in tomato leaf.
Keyword ：
Amino acid biosynthesis Amino acid biosynthesis Phenylalanine metabolism Phenylalanine metabolism Plant-pathogen interaction Plant-pathogen interaction Tomato Tomato Volatile organic compounds Volatile organic compounds
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| GB/T 7714 | Gao, Hongdou , Xu, Ru , Du, Zhijie et al. Transcriptome and metabolome reveal the role of different nitrogen treatments for volatile organic compounds accumulation in tomato leaf [J]. | PLANT GROWTH REGULATION , 2024 , 104 (2) : 1183-1195 . |
| MLA | Gao, Hongdou et al. "Transcriptome and metabolome reveal the role of different nitrogen treatments for volatile organic compounds accumulation in tomato leaf" . | PLANT GROWTH REGULATION 104 . 2 (2024) : 1183-1195 . |
| APA | Gao, Hongdou , Xu, Ru , Du, Zhijie , Ye, Huilan , Tian, Jun , Huang, Weiqun et al. Transcriptome and metabolome reveal the role of different nitrogen treatments for volatile organic compounds accumulation in tomato leaf . | PLANT GROWTH REGULATION , 2024 , 104 (2) , 1183-1195 . |
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随着智慧时代的到来，云计算、大数据技术为园林植物生长信息的分析和利用提供了新方法，为园林植物种植和管理提供了强大助力。水肥管理是园林植物种植过程中的关键环节，如何利用前沿技术提升园林植物水肥资源效率，是园林产业升级面临的现实问题之一。首先分析智慧时代的技术特征，其次分析园林植物种类和水肥需求特性，最后根据传统园林植物水肥利用效率提升模式存在的不足，提出水肥利用效率的提升路径，以期为先进技术更好地赋能园林植物水肥管理提供参考。
Keyword ：
利用效率 利用效率 园林植物 园林植物 智慧技术 智慧技术 智能装备 智能装备 水肥资源 水肥资源
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| GB/T 7714 | 林毅雁 , 黄艳 , 黄彦晶 et al. 智慧时代园林植物水肥资源利用效率的提升路径研究 [J]. | 中国资源综合利用 , 2024 , 42 (10) : 88-92 . |
| MLA | 林毅雁 et al. "智慧时代园林植物水肥资源利用效率的提升路径研究" . | 中国资源综合利用 42 . 10 (2024) : 88-92 . |
| APA | 林毅雁 , 黄艳 , 黄彦晶 , 黄从正 , 张后东 , 刘馨悦 et al. 智慧时代园林植物水肥资源利用效率的提升路径研究 . | 中国资源综合利用 , 2024 , 42 (10) , 88-92 . |
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