Journal of Henan Agricultural Sciences

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Analysis of Yunnan Black Tea Aroma Characteristics Based on HS‐SPME‐GC‐MS and OAV

DING Qihuan, DENG Min, SHI Dekang, SU Jianmei, GU Chonglin, LI Sijin

Journal of Henan Agricultural Sciences 2025, 54 (4): 167-180. DOI: 10.15933/j.cnki.1004-3268.2025.04.017

Abstract （267）

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In order to investigate the aroma characteristics of Yunnan black tea from different production areas in Yunnan,12 tea samples from four production areas,namely,Simao in Puer,Changning in Baoshan,Menghai in Xishuangbanna and Fengqing in Lincang，were selected as materials.The headspace‐solid phase microextraction(HS‐SPME)combined with gas chromatography‐mass spectrometry(GC‐MS)was used to separate and identify the volatile components of Yunnan black tea from different production areas on a DB‐WAX column，and the volatile components of Yunnan black tea were analysed by using aroma activity value(OAV)combined with chemometrics to determine the volatiles composition and aroma characteristics of Yunnan black tea from different production areas.The results showed that a total of 143 volatile substances，mainly alcohols，aldehydes，esters and olefins，were identified in Yunnan black tea from different production areas，and 50 substances(OAV≥1)contributing to the flavor of Yunnan black tea were screened out with the help of OAV，among which linalool and β‐ionone had a prominent position in OAV，and were important for the composition of the flavour of Yunnan black tea from different production areas.By using orthogonal partial least squares‐discriminant analysis(OPLS‐DA),combined with variable importance projection(VIP),43 differential markers were screened(VIP≥1).Based on the results of OAV and OPLS‐DA，12 characteristic differential substances of Yunnan black tea were screened：2‐methyl butyraldehyde， benzaldehyde， heptaldehyde，Z‐hex‐3‐en‐1‐ol，methyl 2‐(methylamino)benzoate，dihydroactinidolide，D‐limonene,(E)‐3，7‐dimethylocta‐1,3,6‐triene，β‐ionone，α -lonone，dihydro‐β‐ionone，and P‐cymene.Z‐hex‐3‐en‐1‐ol contributed prominently to the clear aroma of black tea from Changning production area；dihydroactinidolide and dihydro‐β‐ionone contributed prominently to the floral and fruity aroma of Menghai production area，and heptaldehyde contributed prominently to the fruity aroma of Fengqing production area.Further analysis showed that the Yunnan black tea aroma types of the four production areas were mainly floral and fruity.Combined with the cluster analysis，Changning and Fengqing production areas had floral and sweet aroma，and the fruity aroma was stronger，absence of honey notes；and the differentiated compounds of Simao and Menghai production areas were more diverse，and the composite aroma was obvious，which involved the sweet aroma，honey aroma，grassy aroma，clear aroma and fat aroma.

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Research Progress on the Impact of Nitrogen Deposition on Soil Respiration

ZHU Leyang, ZHANG Xizhe, TAO Jiang, WANG Xiu, HAN Yanying, YE Yanhui

Journal of Henan Agricultural Sciences 2024, 53 (10): 1-11. DOI: 10.15933/j.cnki.1004-3268.2024.10.001

Abstract （614）

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Nitrogen deposition，as a critical ecological factor in the soil ecosystem，significantly affects the structure and function of ecosystems.To systematically elucidate the impact of nitrogen deposition on soil respiration，the effects of nitrogen deposition on soil root respiration，soil microorganism respiration，soil animal respiration and chemical oxidation of soil carbon⁃containing minerals were reviewed，and the specific effects of different nitrogen deposition gradients on soil respiration were analyzed.In order to provide a theoretical reference for subsequent in⁃depth monitoring and research of soil respiration and related life activities，the future research directions in the field of soil respiration were prospected.

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Research Progress on Application in Livestock，Poultry and Aquaculture Production of Bacillus subtilis and Its Effect on Intestinal Health of Animals

FENG Lili

Journal of Henan Agricultural Sciences 2025, 54 (5): 1-9. DOI: 10.15933/j.cnki.1004-3268.2025.05.001

Abstract （461）

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Bacillus subtilis can form spores，has strong resistance and good stability，and has several advantages compared with conventional probiotics.Bacillus subtilis can be used as a microecological agent in livestock，poultry and aquaculture production，and has positive impact on animal production performance via improvement of digestion and absorption.Bacillus subtilis can improve meat quality，enhance immunity and regulate intestinal health.The biological characteristics of Bacillus subtilis，the application in livestock，poultry and aquaculture production and the impact on intestinal health were reviewed in this paper，so as to provide reference for further development and utilization of Bacillus subtilis microecologics for feeding.

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Research Progress in Alleviating Continuous Cropping Obstacles by Allium L.Plants

GUO Jianing, LI Nannan, LI Kun

Journal of Henan Agricultural Sciences 2024, 53 (8): 11-20. DOI: 10.15933/j.cnki.1004-3268.2024.08.002

Abstract （554）

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Soil continuous cropping obstacles commonly occur in many plants，such as grain crops，fruit trees，vegetables，Chinese herbal medicines and others，restricting the healthy and sustainable development of the industry.Intercropping，rotation and relay intercropping are important agricultural management measures，and they can regulate the microecological environment of rhizosphere soil of continuous cropping，reducing the harm of continuous cropping.Allium L.plants contain various biologically active components such as organic sulfur compounds，saponins，flavonoids，and other compounds.They are often used as an intercropping，rotation or relay intercropping crop to alleviate continuous cropping obstacles.This paper expounded the alleviative effects of Allium L.plants on continuous cropping obstaces，and the alleviating mechanism of Allium L.plants on continuous cropping obstacles was discussed from photosynthetic characteristics，antioxidant enzyme activity，root exudate characteristics and soil nutrients，enzyme activity and microorganisms quantity and community structure.The components contained in root exudates and plant volatiles of Allium L.plants were analyzed.Finally，the research direction of mechanisms of Allium L.plants alleviating continuous cropping obstacles and the development of active substances were proposed，which laid a theoretical foundation for further application of Allium L.plants in alleviating continuous cropping obstacles.

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Research Progress on the Effects of Ecological Factors on Tobacco Aroma Characteristics

LIU Jingjing, CUI Guangzhou, DUAN Wangjun, WANG Weimin, ZHANG Li, JIA Wei, XU Zicheng, XU Jiayang

Journal of Henan Agricultural Sciences 2023, 52 (2): 1-11. DOI: 10.15933/j.cnki.1004-3268.2023.02.001

Abstract （648）

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Aroma substance is an important quality factor to measure the quality of tobacco leaves.The formation of aroma style of high quality tobacco leaves is easily restricted by ecological factors.In this paper，four important aroma precursors in tobacco were introduced，and the difference of aroma substance content in different aroma types of tobacco was analyzed. The effects of different ecological factors on tobacco aroma substances were reviewed from two aspects：abiotic factors（light，temperature，rainfall，soil，altitude）and biological factors（soil microorganisms）.The relationship between aroma substances and tobacco aroma characteristics was further discussed，and the effects of aroma precursors and ecological factors on tobacco aroma were summarized. Finally，the future research direction was prospected，in order to provide new ideas for the study on rational planting and quality improvement of tobacco.

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Research Progress of Porcine Getah Virus

ZHANG Yuyang

Journal of Henan Agricultural Sciences 2025, 54 (9): 15-22. DOI: 10.15933/j.cnki.1004-3268.2025.09.002

Abstract （1361）

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Getah Virus（GETV） is an emerging insect‑borne pathogen that has caused reproductive disorders in pigs and high mortality in piglets in many countries in recent years，posing a major threat to global animal husbandry and public health. This virus is primarily transmitted by mosquito bites，which can cause widespread infection in pigs and significantly affect reproductive performance and health.In response to the spread of the epidemic，it is urgent to conduct research on genomic characterization and molecular evolution to guide vaccine design and optimize prevention and control strategies.At the same time，it is necessary to clarify the law of GETV transmission through epidemiological investigation and analyze the pathogenic mechanism in order to provide theoretical support for epidemic prevention and control.In addition，improving the accuracy and timeliness of early diagnosis has become a key link in prevention and control.In view of the critical role of early diagnosis in epidemic prevention and control，based on the latest research results，the pathogenic characteristics，epidemiological characteristics，pathogenic mechanism，diagnostic techniques and prevention and control strategies of GETV were systematically discussed，aiming to provide theoretical support for clinical prevention and control，and provide scientific basis for vaccine development，diagnostic technology innovation and prevention and control policy formulation.

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Research Progress on Mechanism and Application of Reductive Soil Disinfection（RSD）in Prevention and Control of Continuous Cropping Obstacles of Facility Soil and Vegetable

WANG Guangyin, GUO Weili, CHEN Bihua, PAN Feifei, HUANG Xinqi, CAI Zucong, ZHOU Jianhua, GU Guilan

Journal of Henan Agricultural Sciences 2023, 52 (1): 1-10. DOI: 10.15933/j.cnki.1004-3268.2023.01.001

Abstract （615）

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Reductive soil disinfestation（RSD） is an environment‑friendly method，which has the characteristics of inhibiting soil‑borne pathogens and improving soil physicochemical properties.It has been successfully applied to prevent and control the continuous cropping obstacle in facility soil and vegetable production.In order to provide theoretical reference for the mechanism and application study of RSD to prevent and control soil continuous cropping obstacles，this paper summarizes the mechanism research progress of RSD to prevent and control soil continuous cropping obstacle，introduces the specific application of RSD in facility soil and vegetable production in recent years，and prospects the future research and application of RSD.

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Research Progress of Intercropping Promoting Phosphorus Absorption and Utilization

WU Xin, BI Jiayu, GE Yingtong, HE Yangfa, WANG Yuyun

Journal of Henan Agricultural Sciences 2024, 53 (12): 1-9. DOI: 10.15933/j.cnki.1004-3268.2024.12.001

Abstract （488）

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The application of phosphate fertilizer and mineral weathering are the main sources of soil phosphorus，but the low utilization rate of phosphorus and the limited ability of crops to absorb and utilize phosphorus lead to the accumulation of soil phosphorus，which limits the growth of crops.Intercropping system can improve soil phosphorus availability.The effects of intercropping on phosphorus utilization rate were summarized.The mechanism of intercropping to improve soil phosphorus availability was reviewed from three aspects：soil microorganisms，crop roots，and changes in endogenous hormones.It is suggested that in the future，we should focus on the in‑situ characterization of plant root morphology，auxin‑related gene expression，soil microorganisms and related functional genes，in order to provide reference for improving phosphorus utilization rate through intercropping.

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New Research Progress of bZIP Transcription Factors in Improving Plant Stress Resistance

HAO Hongyan, SANG Huitong, LÜ Shanhua, FAN Yinglun, LI Haiyun

Journal of Henan Agricultural Sciences 2023, 52 (4): 1-8. DOI: 10.15933/j.cnki.1004-3268.2023.04.001

Abstract （729）

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Plants will be hurt when encountering adversity，and genetic engineering technology is a quick and effective way to improve plant stress resistance. As one of the most diverse and relatively conserved gene families in higher plants，basic leucine zipper（bZIP） transcription factors play an important regulatory role in plant resistance to low temperature，drought，salinity，pests and other biotic and abiotic stresses.In this paper，the structure，classification of bZIP transcription factors in plants and the new research progress in improving plant resistance to abiotic（drought，high temperature，low temperature，high salinity，nutrient deficiency，etc.）and biotic stresses were reviewed，so as to provide references for the utilization of bZIP transcription factors and the genetic improvement of plant stress resistance.

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mRNA Vaccines：Research Progress and Applications in Animal Infectious Diseases

ZHAI Chongkai, MAO Fuchao, TIAN Wenjing, WANG Conghui, WANG Yingxian, ZHANG Hewei

Journal of Henan Agricultural Sciences 2024, 53 (5): 10-21. DOI: 10.15933/j.cnki.1004-3268.2024.05.002

Abstract （670）

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Compared to traditional approaches，RNA vaccines offer advantages such as high safety，good efficacy，and short development cycle，which makes them have unique advantages in the prevention and control of infectious diseases.Currently，mRNA vaccines have made great progress in the prevention and control of COVID‑19，influenza，Ebola，Zika and other human diseases，but the research on mRNA vaccines for animals is still not in‑depth.Therefore，the development of mRNA vaccines for animals to prevent and control infectious diseases in livestock，poultry，and wild animals has become one of the important research directions in the field of animal diseases and public health.This review comprehensively discusses the design，preparation，delivery system，application，advantages，challenges and prospects of mRNA vaccines against animal infectious diseases，to provide valuable insights for the development and research of future animal mRNA vaccines.

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Research Progress on Quality Traits of Foxtail Millet

LI Junxia, MA Xiaoqian, DAI Shutao, QIN Na, SONG Yinghui, ZHU Cancan, LIU Haixia, JIN Songcan

Journal of Henan Agricultural Sciences 2023, 52 (9): 14-23. DOI: 10.15933/j.cnki.1004-3268.2023.09.002

Abstract （411）

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Foxtail millet is an important multigrain crop in China，which is rich in protein，fatty acid，saccharides，dietary fiber and abundant essential trace elements for human body，and has high nutritional value. In this paper，the research progress of foxtail millet quality traits was reviewed from the aspects of appearance quality，eating and cooking quality，nutrient quality and processing quality，the existing problems in the research of foxtail millet quality were analyzed，and the prospect of further research was prospected.

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Metabolites Mining and Path Enrichment Analysis of Tigernut Tuber Formation

GUO Xiaoyang, LA Guixiao, XU Xinran, YU Yange, DAI Dandan, LI Yanpeng, WANG Yanhong, GUO Hongxia, YANG Tiegang

Journal of Henan Agricultural Sciences 2024, 53 (8): 30-43. DOI: 10.15933/j.cnki.1004-3268.2024.08.004

Abstract （1059）

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In order to dig out the key metabolites in the process of forming tubers by the stolons of tigernut and regulate the stolons to form more tubers，the stolons and new tubers were taken as the research objects，and untargeted metabolomics analysis was carried out by high performance liquid chromatography Abstract：In order to dig out the key metabolites in the process of forming tubers by the stolons of tigernut and regulate the stolons to form more tubers，the stolons and new tubers were taken as the research objects，and untargeted metabolomics analysis was carried out by high performance liquid chromatography combined with triple quadrupole mass spectrometer.And then，the differential metabolites related to the formation of tubers were screened by multivariate statistical method，and KEGG metabolic pathways associated with differential metabolites were enriched.The results showed that a total of 1 217 metabolites were detected in unexpanded stolons（PFJ1），expanded stolons（PFJ2）and new tubers（JD1）.According to the conditions of VIP（Variable importance in the projection）>1，P<0.05 and FC（Fold change）>2 or FC<0.5，35 differential metabolites were screened for JD1 vs PFJ1，of which 26 were up‑regulated and nine were down‑regulated；JD1 vs PFJ2 identified 57 differential metabolites，of which 50 were up‑regulated and seven were down‑regulated；PFJ2 vs PFJ1 identified 39 differential metabolites，of which three were up‑regulated and 36 down‑regulated. The metabolites were identified as amino acids and their derivatives，nucleotides and their derivatives，organic oxygen compounds，flavonoids，phenylpropanes，phenols and so on. The relative content analysis of differential metabolites showed that the content of glutathione in JD1 was 14.021 times that in PFJ1 and 29.195 times that in PFJ2.The content of 3‑methy‑L‑histidine in JD1 was 10.463 times that in PFJ1 and 129.931 times that in PFJ2.The content of kaempferol in JD1 was 0.421 times that in PFJ1 and 0.358 times that in PFJ2.KEGG pathway analysis of differentially expressed metabolites was further conducted，and they were mainly concentrated into KEGG pathways such as aminoacyl‑tRNA biosynthesis，arginine and proline metabolism，alanine，aspartic acid and glutamate metabolism，phenylalanine metabolism，flavonoid and flavonol biosynthesis.In summary，amino acids and flavonoids were the main metabolites related to the formation of tubers，and the metabolic pathways were mainly concentrated in aminoacyl‑tRNA biosynthesis and flavonoid and flavonol biosynthesis.

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Research on Succulent Plant Classification and Recognition Method Based on Contrastive Learning

FENG Yuxin, LIANG Shaohua, TONG Hao

Journal of Henan Agricultural Sciences 2023, 52 (7): 154-162. DOI: 10.15933/j.cnki.1004-3268.2023.07.016

Abstract （396）

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In view of the large variety of succulents，the large intra⁃class differences and the small inter⁃class differences，as well as the difficulty of data collection，traditional classification algorithms cannot effectively solve the problem of succulent plant image classification.This paper proposed a contrastive learning based succulent plant image classification network CL_ConvNeXt.The network was based on ConvNeXt structure and introduced the idea of contrastive learning.A non⁃linear projection layer（Projection head）was added in the middle layer of the network as an auxiliary classifier to help the model extract features from the shallow network.In a batch，positive samples were constructed through data augmentation，and the remaining samples were considered as negative samples.The cross entropy loss function and the contrastive loss function were weighted to newly design loss function calculation method，which could achieve one⁃stage model training.Transfer learning was used during training to transfer the pre⁃trained weights to the model to improve the convergence speed of the model，and various strategies and parameters were optimized to further improve the recognition accuracy of the model.The experimental results showed that on the self⁃made 190⁃class succulent plant dataset，under the same training strategy and environment configuration，the recognition accuracy of the final model CL_ConvNeXt for succulent plant image classification reached 91.79%，which was 12.24 percentage points higher than that of the original ConvNeXt model structure，showing good effect on solving the problem of succulent plant image classification and recognition.

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Evaluation of Resistance to Southern Corn Rust and Detection of Resistance Genes in New Summer Corn Varieties in Henan Province

WANG Ziming, ZHANG Yuyang, WANG Ziqi, FAN Zhuo, YUAN Hongxia, YANG Xue, LI Honglian, SHI Yan

Journal of Henan Agricultural Sciences 2025, 54 (7): 107-115. DOI: 10.15933/j.cnki.1004-3268.2025.07.011

Abstract （238）

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Southern corn rust resistance of corn varieties participating in regional trials and introduced variety registration trials in Henan Province from 2021 to 2024 was evaluated using a combination of field nurseries and artificial inoculation. Additionally，resistance gene detection was conducted on varieties exhibiting moderate resistance or higher levels in 2023 and 2024，to determine the resistance status of newly bred corn varieties to southern corn rust，and provide a theoretical basis for breeding and promoting resistant corn cultivars.The results showed that 134，121，87，and 119 corn varieties were tested in the Henan regional trials from 2021 to 2024，respectively.Among them，the proportions of varieties showing moderate or higher resistance to southern corn rust were 36.57%，92.57%，57.47%，and 86.55%，respectively.For the introduced variety registration trials，68，82，43，and 14 corn varieties were tested，and the proportions of varieties showing moderate or higher resistance to southern corn rust were 32.35%，95.12%，51.16%，and 71.43%，respectively，demonstrating a generally consistent trend.However，there were notable year‑to‑year variations in the proportion of resistant and susceptible varieties.In years with southern corn rust epidemics，such as 2021 and 2023，the proportion of resistant varieties was relatively lower.In 2023，resistance genes were detected in varieties showing moderate resistance or higher levels.The results showed that 48.61% of these varieties carried the resistance gene RppC，while RppM was not detected in any of the tested varieties.Furthermore，51.39% of the varieties lacked both RppC and RppM.In 2024，detection of RppC，RppM，and RppK genes in varieties showing moderate resistance or higher levels was conducted.The results showed that RppC had the highest detection ratio of 92.92%，followed by RppK and RppM with the detection ratio of 21.24% and 20.35%，respectively.However，three varieties tested were negative for all three resistance genes.In conclusion，a relatively high proportion of corn varieties evaluated in recent years in Henan Province exhibited resistance to southern corn rust，with an overall increasing trend.The resistance gene RppC continues to play a key role in corn production，while RppK and RppM are beginning to be applied in southern corn rust‑resistant breeding.Further exploration and utilization of additional resistance genes are still needed.

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Research and Application of Lightweight Yolov7‐TSA Network in Tea Disease Detection and Identification

LI Weihao, ZHAN Wei, ZHOU Wan, HAN Tao, WANG Peiwen, LIU Hu, XIONG Mengyuan, SUN Yong

Journal of Henan Agricultural Sciences 2023, 52 (5): 162-169. DOI: 10.15933/j.cnki.1004-3268.2023.05.019

Abstract （472）

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Aiming at the problems of low accuracy，slow model running speed and no detection function of the existing tea disease identification methods，a novel Yolov7‐TSA（Yolov7‐Tiny‐SiLU‐Attention）lightweight network architecture was proposed to detect and classify tea diseases.Specifically，the LeakReLU activation function in the Yolov7‐T network was replaced with the SiLU activation function to improve detection accuracy and prevent overfitting.Meanwhile，the feature perception of target contour and spatial location was further improved by fusing the coordinate attention mechanism. Experiments on the dataset containing eight tea diseases（including healthy tea leaves） showed that the recognition accuracy of Yolov7‐TSA network reached 94.2%，which was 3.2 and 1.2 percentage points higher compared to Yolov7‐T and Yolov7 networks，respectively.Furthermore，it showed significant results in terms of parameters，floating point operations，model size and inference time per image，which were reduced by 83%，87%，83% and 34%，respectively，compared to the Yolov7 network. The network model achieves the detection and classification of tea diseases when balancing recognition accuracy and real‐time performance.

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Research Progress of Enterotoxigenic Escherichia coli Vaccine for Piglets

LÜ Linfen, PANG Shengmei, LI Baoliang, LIANG Yuxuan, DUAN Qiangde

Journal of Henan Agricultural Sciences 2023, 52 (5): 1-8. DOI: 10.15933/j.cnki.1004-3268.2023.05.001

Abstract （368）

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Enterotoxigenic Escherichia coli（ETEC）is an important pathogen causing diarrhea of piglets in the world. Various strategies such as giving antibiotics in the feed，oral administration of specific antibodies，dietary and diet supplementary treatment，and genetic breeding have been used to prevent and treat ETEC infection.Compared with other preventive measures，vaccination is the most economical and effective mean to prevent diarrhea of piglets caused by ETEC.In this paper，the latest research progress of ETEC vaccine for porcine was reviewed，the challenges in ETEC vaccine research were analyzed，and the research strategies for effective vaccines were proposed，in order to provide the basis for the development of novel，safe，efficient and broad‐spectrum ETEC vaccines.

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Current Status and Progress of Research on Soil Water Movement and Distribution in Subsurface Drip Irrigation

WANG Dongbo, QIAN Zhiyong, WANG Dong, HUANG Guoliang, YANG Zhenjie, ZHANG Yijie

Journal of Henan Agricultural Sciences 2023, 52 (12): 1-13. DOI: 10.15933/j.cnki.1004-3268.2023.12.001

Abstract （512）

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The movement and distribution of soil water under subsurface drip irrigation has always been a hot topic in academic circles. In order to clarify the research progress of influencing factors of soil water migration and distribution under subsurface drip irrigation，the basic principles，main characteristics and development history of subsurface drip irrigation technology were summarized.The research methods and conclusions of soil water migration and distribution under different subsurface drip irrigation methods were systematically expounded，and the application status of numerical simulation technology in soil water distribution law research was introduced.The key factors affecting soil water migration and distribution under subsurface drip irrigation conditions were comprehensively analyzed.The current research status and development bottlenecks were summarized，and the future research direction was prospected，in order to provide theoretical reference for further research and improvement of irrigation water use efficiency.

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Research Progress of Conservation Tillage in China

QIN Meng, DONG Quanzhong, XUE Hong, ZHANG Mingming, LI Weiwei, SONG Huan, ZHAI Lingxia

Journal of Henan Agricultural Sciences 2023, 52 (7): 1-11. DOI: 10.15933/j.cnki.1004-3268.2023.07.001

Abstract （931）

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Conservation tillage is an environmentally friendly farming model that reduces soil erosion，protects the ecological environment of farmland，and achieves coordinated development of ecological，economic and social benefits by means of less tillage，no⁃tillage and surface mulching of straw.In order to reduce soil erosion，desertification and salinization，soil management methods need to be changed from traditional tillage to protect the soil environment，stabilize food and increase income.This paper introduces the importance of conservation tillage for the sustainable development of agriculture，systematically describes the current development status of conservation tillage，analyzes the key points and difficulties of future development of conservation tillage，and provides an outlook on the future development direction of conservation tillage to provide reference for improving the development system of conservation tillage.

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Research Progress on the Effects of Abiotic Stress Factors on Wheat Photosynthesis

FANG Yuhui, HUA Xia, HAN Liupeng, ZHAO Mingzhong, QI Xueli, DONG Haibin, HU Lin,

Journal of Henan Agricultural Sciences 2023, 52 (10): 1-13. DOI: 10.15933/j.cnki.1004-3268.2023.10.001

Abstract （618）

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Photosynthesis is the energy source and material basis of wheat growth and development，and plays an important role in the formation of wheat yield.In recent years，climate anomalies have occurred frequently.High temperature，low temperature，drought，waterlogging，saline‑alkaline，high light and low light have become the main factors affecting wheat photosynthesis.This paper reviewed the research progress of the effects of abiotic stresses such as temperature，water，saline‑alkaline and light intensity on wheat photosynthesis，pointed out the problems existing in this research field，and prospected the future research direction，so as to provide theoretical reference for wheat high photosynthetic efficiency breeding and cultivation management.

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Genetic Analysis of Flower Size and Related Characters in Petunia

ZHANG Linxia, ZHANG Wei, ZHANG Shuting, SUN Miaomiao, ZHANG Xiaomin, LI Zhineng, LIU Guofeng

Journal of Henan Agricultural Sciences 2024, 53 (2): 118-127. DOI: 10.15933/j.cnki.1004-3268.2024.02.013

Abstract （449）

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In order to explore the inheritance law of petunia flower size,four generations of genetic populations(P1,P2,F1,F2）were constructed using the large⁃flowered and small⁃flowered inbred lines of petunia as parents.The main gene+polygene mixed genetic model analysis was carried out,and the genetic law was verified by crossing the F1 plant with the medium⁃flowered petunia line W115.Moreover,the F2 population was used to investigate 23 phenotypic traits including flower diameter，sepal length,leaf length etc.,and the correlation analysis of these traits was carried out.The results showed that the flower diameter of petunia(large flower vs. small flower)was controlled by two pairs of additive major genes(2MG⁃A),and the heritability of major genes was 95.38%;the offspring of the F1 crossing W115 showed a separation ratio of 1∶1 between the large⁃flowered individuals and medium⁃flowered individuals，and the chlorophyll content of leaves and bracts in medium⁃flowered plants was significantly higher than that in large⁃flowered plants(P<0.01).The phenotypic traits of F2 population derived from hybridization between large⁃flower and small⁃flower parents had abundant variation,and the coefficient of variation varied from 7.67% to 59.93%,with an average of 22.38%.Correlation analysis showed that there were certain correlations among the floral traits,leaf traits and between them,and the flower diameter was significantly positively correlated with the size of other organs,but significantly negatively correlated tosome plant traits.

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Progress on Application of Rational Design of Enzyme in Crop Breeding and Prospect

WANG Donghui, WANG Aoxuan, HE Changhai, LIU Zhihao, SHI Yongchun, WANG Ran, WANG Xiaoran

Journal of Henan Agricultural Sciences 2024, 53 (5): 1-9. DOI: 10.15933/j.cnki.1004-3268.2024.05.001

Abstract （489）

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Excellent germplasm resources are important guarantee for food security，and traditional breeding techniques have problems such as long breeding cycles and intensive workloads. With the deep integration of biology and computer technology，the rational design of enzyme used for directional optimization of key crop genes has laid the foundation for greater exploitation of high‑quality genetic resources.It further integrates with gene editing and transgenic technologies，and becomes one of the important directions in the exploration of molecular breeding technology.This article elaborated the common methods of rational design of enzyme，such as molecular docking，molecular dynamic simulations，binding free energy evaluation and so on，reviewed the progress on application of rational design of enzyme in improvement of crop quality，stress resistance and biomass，and the future was prospected，to provide reference for the development and utilization of new technologies in crop breeding.

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Identification，Evolution and Expression Analysis of WOX Gene Family in Capsicum annuum

ZHANG Yeda, WANG Xing, WANG Liping, TONG Jing, WU Zhanhui, GAO Yankui

Journal of Henan Agricultural Sciences 2023, 52 (5): 130-141. DOI: 10.15933/j.cnki.1004-3268.2023.05.015

Abstract （456）

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The WUSCHEL（WUS）‐related homeobox（WOX）transcription factor family is a kind of plant specific transcription factors，which maintain the dynamic balance of plant stem cells，shoot tip meristem formation，embryonic development and other important life activities.In this study，10 WOX genes were identified in pepper（Capsicum annuum）variety Zunla‐1 by using bioinformatics methods，named CaWUS to CaWOX13.CaWOXs were unevenly distributed on 5 chromosomes and are divided into 3 branches.All subcellular predictions showed being located in the nucleus.The number of genes varied greatly among different branches，and members of the same branch had similar gene structures and conserved motifs.CaWOX family promoters contained 14 kinds of action elements related to plant growth and development，hormone regulation and stress，and the most widely distributed was methyl jasmonate response element.No tandem duplication and large fragment duplication were found in CaWOX family，but there was a collinear relationship with Arabidopsis thaliana and Solanum lycopersicum.As a key protein，CaWUS played a pivotal role in the protein interaction network.The gene expression of CaWOXs was significantly different，and some genes played an important role in the regulation of root，stem and fruit development.

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Research Progress of Porcine Epidemic Diarrhea Vaccine for Pigs

LIANG Yuxuan, PANG Shengmei, LIU Mei, WANG Longlong, DUAN Qiangde

Journal of Henan Agricultural Sciences 2023, 52 (8): 1-10. DOI: 10.15933/j.cnki.1004-3268.2023.08.001

Abstract （516）

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Porcine epidemic diarrhea（PED）caused by porcine epidemic diarrhea virus（PEDV）is an acute and highly contagious enteric disease of pigs，which leads to high morbidity and mortality in the suckling piglets，thereby bringing huge economic losses to the global pig industry.Vaccination is currently the most economical and effective measure for the prevention of PED，but due to the continuous emergence of PEDV variants，the immune protection of the vaccine is not effective.Therefore，the development of safer and more effective vaccines for preventing PED is urgently needed. Here we mainly reviewed the pathogenic characteristics，the pathogenic mechanism of PEDV，and the latest progress in PEDV vaccine research. Futhermore，the research strategy of a novel and effective PEDV vaccine was also prospected，to provide a reference for effective prevention and control of PED in clinical settings.

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Biological Characteristics and Occurrence of Aoria nigripes（Coleoptera：Chrysomelidae）in Ampelopsis grossedentata

ZHANG Mengmeng, LI Li, CHEN Qin, CHEN Mingxiu, WEI Yun, YU Zhengwen

Journal of Henan Agricultural Sciences 2023, 52 (2): 94-102. DOI: 10.15933/j.cnki.1004-3268.2023.02.011

Abstract （455）

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Aiming at the phenomenon of the explosive damage of beetle insects on the new‑generation vine tea，this study would clarify the specific species and damage risks through filed survey and indoor rearing observation.The results showed that the insect was identified by morphological and anatomical observations as Aoria nigripes，which belonged to Coleoptera，Chrysomeloidae，Eumolpidea，and Aoria.Currently，it only occurs sporadically in the plants of Vitis and Parthenocissus.It is clear that the leaf beetle has one generation per year in Guizhou，and the adult blooming period is from June to July.The adult damages the leaves and shoots，and the damaged parts is a strip‑shaped hole.It has strong activity，is good at flying，and has pseudolethality.The adults can lay eggs for many times，and the number of eggs laid can reach 34.50 eggs per female. The larvae have weak crawling ability，and mainly feed on the roots of vine tea in a tunnel shape.

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Comparison of Dumas Combustion Method and Kjeldahl Nitrogen Determination Method in Determination of Total Nitrogen in Fertilizer

JIA Bin, SHANG Lijun, PAN Jie, SUN Hongmei, WANG Ying, YUAN Erding

Journal of Henan Agricultural Sciences 2024, 53 (2): 85-91. DOI: 10.15933/j.cnki.1004-3268.2024.02.009

Abstract （660）

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To evaluate the applicability of Dumas combustion method and Kjeldahl nitrogen determination method in determining the total nitrogen content of different types of fertilizers,20 different types of nitrogen⁃containing fertilizers and 4 standard samples were selected as experimental objects.Dumas combustion method and Kjeldahl nitrogen determination method were used to determine the total nitrogen content,and the precision,accuracy,correlation of the results,and advantages and disadvantages of the two methods were compared.The results showed that there was no significant difference between the two methods in determining fertilizers without nitrate nitrogen,but the precision of Dumas combustion method was higher.When measuring nitrate nitrogen⁃containing fertilizers,there was a significant difference in the results of the two methods.The results of Dumas combustion method were closer to the true content and had good repeatability,while Kjeldahl nitrogen determination method had a lower value and poor repeatability.For urea nitrogen fertilizers with high nitrogen content,the precision of Kjeldahl nitrogen determination method was slightly higher than that of Dumas combustion method.Taking into account factors such as environmental friendliness,work efficiency,experimental costs,precision and accuracy of the measurement results,Dumas combustion method is more suitable for determining the total nitrogen content of fertilizers.

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Identification and Indoor Fungicide Screening of Pathogen Causing Leaf Spot on Rehmannia glutinosa

LI Haicheng, WANG Fanzhen, JIANG Yongcheng, SONG Xin, CHEN Zhaorong

Journal of Henan Agricultural Sciences 2024, 53 (4): 92-101. DOI: 10.15933/j.cnki.1004-3268.2024.04.010

Abstract （369）

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In order to identify the pathogen species and its biological characteristics of Rehmannia glutinosa leaf spot in Jizhou area of Tianjin City,and to screen effective pesticides for controlling the pathogen of R.glutinosa leaf spot，the methods of diseased leaves collection,strain isolation，microscopic observation,in vitro inoculation,ITS,EF1‑α,Tub multiple genes sequence alignment and evolutionary tree analysis were used to islolate,purify and identify the pathogen of R.glutinosa leaf spot by morphology,pathogenicity and molecular biology.The biological characteristics of the pathogen in three media and four carbon and nitrogen sources were studied.At the same time,the virulence of four fungicides was determined.The results showed that the pathogen A1 isolated from the leaf spot of R.glutinosa was Fusarium equiseti.The optimum medium,nitrogen source and carbon source were Czapek medium,glycine and sucrose,respectively.The results of laboratory efficacy test showed that 45% prochloraz aqueous emulsion had the best inhibitory effect on mycelial growth of pathogen,the concentration for 50% of maximal effect(EC₅₀)was 63.69 mg/L,and the inhibition rate of mycelial growth was up to 83.64%.75% chlorothalonil wettable powder had the worst inhibitory effect,with EC₅₀ of 355.06 mg/L,and the maximum inhibitory rate of mycelial growth was 64.63%.In conclusion,F.equiseti was the pathogen of R.glutinosa leaf spot in Jizhou district of Tianjin,and 45% prochloraz aqueous emulsion has the best controlling effect on the pathogen of R.glutinosa leaf spot.

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Rice Phenotypic Parameters Extraction and Biomass Estimation Based on Three⁃Dimensional Model

CHENG Zhiqiang, FANG Shenghui

Journal of Henan Agricultural Sciences 2023, 52 (7): 144-153. DOI: 10.15933/j.cnki.1004-3268.2023.07.015

Abstract （1313）

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The phenotype detection methods based on two⁃dimensional images lack spatial dimension information and have difficulty in extracting comprehensive rice phenotype parameters.Therefore，it is of great significance to establish a three⁃dimensional model of rice to extract comprehensive rice phenotype parameters.The volume is an important parameter indicating the growth status of rice. How to obtain rice volume parameters without damaging the rice plant is still a problem to be solved in current research.Based on the above considerations，a method of rice phenotypic parameters extraction and biomass estimation based on three⁃dimensional model is proposed in this paper，which can extract rice volume parameters and estimate rice biomass without damaging the rice plant.This study focused on potted rice，first reconstructed its three⁃dimensional model using the Alpha⁃shape algorithm，and then extracted and evaluated rice height，stem thickness，vegetation coverage，volume parameters，and estimated rice biomass based on the volume parameter.The experimental results showed that space carving could reconstruct a high⁃precision three⁃dimensional model of rice and accurately measure rice phenotype parameters and biomass，the RMSE and MAPE of rice height，stem thickness，and single plant vegetation coverage were 63.27 mm，4.01 mm，5.04% and 7.15%，14.91%，12.59%，and the RMSE and MAPE of rice biomass were 62.44 g and 19.25%，which were better than the results obtained by existing three⁃dimensional reconstruction software.

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Molecular Identification and Biological Characterization of Ralstonia solanacearum Infecting Peanuts in Henan Province

SANG Suling, WANG Zhenyu, LI Shaojian, FAN Wanwan, GAO Meng, CUI Xiaowei, ZHANG Haiyan, FENG Lanlan

Journal of Henan Agricultural Sciences 2024, 53 (4): 102-110. DOI: 10.15933/j.cnki.1004-3268.2024.04.011

Abstract （411）

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To identify the taxonomic properties of the pathogen of peanut bacterial wilt disease in Henan Province,30 strains collected from different regions in Henan Province were comparatively characterized in terms of 16S rDNA sequences,carbohydrate utilization,pathogenicity,evolutionary type,and sequence variation.The results showed that,based on the 16S rDNA sequencing results of these 30 strains,the pathogen causing peanut wilt disease was R.solanacearum;all the strains could infect eggplant，chili pepper,potato,tobacco,and tomato,but did not infect ginger and belonged to physiological race 1;based on the analysis of the ability to utilize three disaccharides and three hexanols，four strains were classified as biovar Ⅱ,10 strains as biovar Ⅲ,and 16 strains as biovar V;all the strains were able to produce 144 bp specific band for evolutionary type Ⅰ and 280 bp specific band for R.solanacearum through multiplex PCR amplification,which indicated that all of the strains belonged to the evolutionary type Ⅰ,i.e.,the Asian group 13 of R.solanacearum;based on the phylogenetic analysis of the egl gene,all the strains from Henan were clustered together with Gx525,Ah⁃XnJn⁃12⁃6,and HA₂⁃1,belonging to sequence variant 14.

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Apple Leaf Diseases Identification Based on Improved Residual Network

CHEN Cong, YU Xiao, GONG Qi

Journal of Henan Agricultural Sciences 2023, 52 (4): 152-161. DOI: 10.15933/j.cnki.1004-3268.2023.04.018

Abstract （1289）

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Apple leaf diseases are similar in morphology and different in spot size，and traditional methods relying on labor and agricultural experts to identify them are inefficient. In view of this，this study proposed an apple disease identification model REP⁃ResNet based on improved residual network.This model was improved by adopting the order adjustment of residual structure（that was bath normalization，activation function，convolutional layer），and adding the efficient channel attention and parallel convolution based on the baseline model ResNet⁃50.During the training process，the model weight parameters pretrained in the public dataset PlantVillage were transferred to the above network model for retraining，which aimed to accelerate the convergence speed of the network and improve the recognition ability of the model.Data expansion was used to solve the problem of uneven samples during training.The results showed that the recognition accuracy of the REP⁃ResNet model was 2.41 percentage points higher than that of the benchmark network model.The model was trained by transfer learning，and the accuracy rate of apple leaf disease recognition in complex backgrounds reached 97. 69%. Compared with traditional convolutional neural networks，the recognition effect was greatly improved.

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Application Status and Progress of Fluorescent Labeling Technology in the Creation of Novel Agrocompounds

WEN Ding, ZHANG Ya, LIU Shuangqing, WANG Chong, LIAO Xiaolan

Journal of Henan Agricultural Sciences 2023, 52 (9): 1-13. DOI: 10.15933/j.cnki.1004-3268.2023.09.001

Abstract （402）

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Fluorescent labeling technology（FLT）is widely used in all aspects of the modern society,but its application in the field of agrocompound creation has rarely been reviewed. Based on the domestic and foreign literature on FLT in the field of agrocompound creation in the past 10 years，the kinds of fluorescent dyes in FLT was introduced，the application situation and progress of fluorescence probe technology and immunofluorescence technology in new agrocompound creation field were summarized，the limitations and deficiencies of FLT in the field of agrocompound creation were analyzed，and the development trend of FLT in the future was prospected.

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Analysis of Cecal Microbiota Diversity of High‑quality Xinghua Chicken and Gudian Chicken

LIANG Shuqi, JIA Shaoyan, LI Ying, XU Wenjie, WU Baozhou, JIA Xinzheng

Journal of Henan Agricultural Sciences 2025, 54 (7): 145-152. DOI: 10.15933/j.cnki.1004-3268.2025.07.015

Abstract （168）

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To explore the characteristics of cecal flora in low‑fat（Xinghua chicken）and high‑fat（Gudian chicken）breeds during the fattening and slaughtering stage，10 healthy Xinghua chickens and 10 Gudian chickens at 126 days of age under the same feeding conditions were selected for slaughter determination and comparative analysis.At the same time，five chickens were randomly selected from them for testing，and their cecal contents were collected for analysis of the microbial community structure through 16S rRNA V3—V4 region sequencing.The results showed that both live weight and slaughter weight of Xinghua chickens were significantly lower than those of Gudian chickens，while abdominal fat weight，slaughtering rate，and abdominal fat rate were extremely significantly lower than those of Gudian chickens.α diversity analysis revealed that the richness of gut microbiota in Gudian chickens was higher than in Xinghua chickens，but the difference was not significant，and the diversity of intestinal flora in Gudian chicken was significantly higher than that in Xinghua chicken at the family level.β diversity analysis showed that there were extremely significant differences in the diversity of microbial communities between the two varieties at the genus and family levels. In the analysis of microbial community structure and differences at the phylum level，the relative abundance of Proteobacteria was extemely significantly higher in Gudian chickens than in Xinghua chickens，the relative abundance of Deferribacterota was significantly higher than in Xinghua chickens，and the relative abundance of Verrucomicrobiota was extremely significantly lower than in Xinghua chickens.In the analysis of microbial community structure and differences at the family level，the abundance of Acidaminococcaceae and Succinivibrionaceae in Gudian chickens was significantly higher than that in Xinghua chickens，while the relative abundance of Ruminococcaceae was significantly lower than that in Xinghua chickens.In the analysis of microbial community structure and differences at the genus level，the abundance of Phascolarctobacterium and Anaerobiospirillum in Gudian chickens was significantly higher than that in Xinghua chickens，while the relative abundance of Faecalibacterium was significantly lower than that in Xinghua chickens.Through LEfSe differential analysis（LDA>3，P<0.05），8 specific marker bacteria of high‑fat Gudian chicken and 5 specific marker bacteria of low‑fat Xinghua chicken were identified respectively. Among them，the LDA scores of Phascolarctobacterium and Faecalibacterium with high abundance were higher，which may be significantly related to the phenotype of more abdominal fat deposition in high‑fat Gudian chickens and less abdominal fat deposition in low‑fat Xinghua chickens.In summary，microbiome analysis revealed significant differences in the cecal microbiota structure between Xinghua chickens and Gudian chickens，confirming the potential association between characteristic microbiota such as Proteobacteria，Succinivibrionaceae，and Phascolarctobacterium and fat deposition in broiler chickens.This provides a theoretical basis for microbiota improving broiler chicken production performance microbial.

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Influence of Temperature and Moisture Content on Thermophysical Properties of Tobacco Leaves and Establishment of Prediction Models

CHEN Jiading, HE Rong, XIAO Qingli, YUAN Ming, TAN Qizhong, PENG Kui, WEI Shuo, LI Shengchun

Journal of Henan Agricultural Sciences 2023, 52 (6): 172-180. DOI: 10.15933/j.cnki.1004-3268.2023.06.018

Abstract （1248）

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In order to comprehensively understand the thermophysical properties of different components of tobacco leaves and provide reference for the design of thermal processing technology such as baking，moisture regain and redrying，the thermal diffusion coefficient，thermal conductivity and mass specific heat capacity of post⁃baking tobacco leaves and main veins were measured by the thermal probe method under the temperature from 10 to 70℃ and moisture content from 5% to 30%，respectively，and the variation pattern was analyzed.The correlation between temperature，moisture content and the values of thermophysical properties of tobacco leaves was fitted in the form of exponential function with the help of MATLAB software to construct an empirical mathematical model of the thermophysical properties of tobacco leaves，which was verified by experiments.The results showed that，（1）The density of tobacco leaves and main veins increased with the increase of moisture content.When the moisture content was 5%—30%，the density of leaves was 562.79—684.84 kg/m³，and the density of main veins was 908.83 to 1 045.51 kg/m³；（2）The increase of temperature and moisture content would increase the thermal diffusion coefficient of tobacco leaves and main veins，and the contribution rate of moisture content was greater.The thermal diffusion coefficient of leaves was 0.092 33—0.219 00 mm²/s，and the thermal diffusion coefficient of main veins was 0.088 67—0.149 00 mm²/s；（3）The thermal conductivity of tobacco leaves and main veins increased with the increase of temperature and moisture content.The thermal conductivity of leaves was 0.088 13—0.435 37 W（/m·K），and the thermal conductivity of main veins was 0.160 70—0.388 83 W（/m·K）；（4）The mass specific heat capacity of tobacco leaves and main veins was mainly positively related to the moisture content. The mass specific heat capacity of tobacco leaves was 1 520.623 44—3 123.569 52 J（/kg·K），and the mass specific heat capacity of main veins was 1 618.828 08—2 563.703 20 J（/kg·K）.（5）For verifying the fitted empirical model，R²was between 0.93 and 0.99.In summary，the thermophysical properties of leaves and main veins differed greatly，and the fitted exponential function could be used as an empirical mathematical model for calculating the corresponding thermophysical property parameters of tobacco leaves and main veins.

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Analysis and Evaluation of Comprehensive Traits of Wheat Varieties in Henan Province Consortium Experiment

ZHANG Huifang, YAN Zhaoling, LIU Haijiao, DUAN Junzhi, CHEN Haiyan, GUO Yan, WANG Nan, YANG Cuiping, QI Hongzhi

Journal of Henan Agricultural Sciences 2024, 53 (7): 35-43. DOI: 10.15933/j.cnki.1004-3268.2024.07.005

Abstract （414）

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Consortium experiment is a new measure to broaden the channels of crop variety approval experiment under the current agricultural situation in China.In order to deeply understand the experiment capacity of wheat consortium experiment in Henan Province and master the agronomic traits and quality traits of its varieties，comparative analysis and evaluation were conducted between the consortium experiment varieties and the provincial unified experiment varieties，based on the wheat
varieties approved by Henan Province in the past three years（2021—2023）.The results showed that Henan Province approved a total of 355 wheat varieties from 2021 to 2023，including 187 consortium experiment varieties.The consortium experiment capacity showed an upward trend，and the proportion of varieties increased from 48.3% in 2021 to 61.2% in 2023.The consortium experimental group was single，mainly including winter wheat‑irrigation group. In the winter wheat‑irrigation group，when applicants independently applied for varieties，the proportion of universities and research institutes through consortium experiment channel was higher than that through provincial unified experiment channel，and individual applicants were more inclined to provincial unified experiment channel.Compared with the provincial unified experiment，the difference of agronomic traits of the consortium experiment wheat was larger at the early stage and smaller at the later stage. Among the 7 agronomic traits，5 traits were significantly or extremely significantly different in 2021，and 2 traits were significantly different in 2023.The difference of quality traits was relatively smaller，but also showed the rule of large at the early stage and small at the late stage. Among the 7 quality traits，2 traits were significantly different in 2021，and there was no significant difference in 2023.The variation coefficient and diversity of agronomic and quality traits of the consortium experiment varieties were greater than those of provincial unified experiment varieties. Principal component analysis was used to transform 14 agronomic and quality traits into 7 principal components，which reflected 81.51% of the original information.The evaluation results based on principal component analysis showed that among the top 50 varieties with comprehensive scores，the varieties with higher comprehensive scores in the wheat consortium experiment accounted for a relatively smaller proportion of all varieties.In 2021 and 2023，there were 5 and 14 varieties respectively，accounting for 9.3% and 17.9% of all consortium experiment varieties.The varieties with higher comprehensive scores in the provincial unified experiment accounted for a relatively larger proportion of all varieties，with 4 and 5 in 2021 and 2023，respectively，accounting for 19.0% and 35.7% of all provincial unified experiment varieties.In summary，the capacity of Henan wheat consortium experiment is constantly increasing，and the dispersion of agronomic and quality traits is relatively larger；The gap of comprehensive scores of varieties between the consortium experiment and the provincial unified experiment is narrowing；Relevant departments can adjust and optimize the consortium experimental group according to the market in the future，focus on the issues of consortium experiment channel，and promote the high‑quality development of the consortium experiment.

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Research Progress on Intelligent Identification Technology of Cucumber Diseases

YANG Zhendong, LUO Wei, LUO Chen, JIANG Hongxun, ZHANG Ying, SONG Shumin, SHI Yiming, YU Yanling, YANG Tianliang, MA Zhongjie, FENG Xiao, YANG Fan

Journal of Henan Agricultural Sciences 2025, 54 (4): 1-10. DOI: 10.15933/j.cnki.1004-3268.2025.04.001

Abstract （294）

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The timely and accurate identification of cucumber diseases using intelligent identification technology is crucial for the proactive control and rational application of pesticides，which is of great significance for ensuring high‐quality cucumber production and ecological environmental safety.The intelligent identification of cucumber diseases is mainly realized by expert knowledge based on traditional expert systems and knowledge graphs，visible light image processing based on traditional machine learning and deep learning，spectral analysis such as chlorophyll fluorescence and hyperspectrum，and multi‐modal data fusion.The research progress of intelligent identification of cucumber diseases based on the above technologies was reviewed，the existing problems and deficiencies in current research were also summarized，and the development trends of cucumber diseases intelligent identification technology in the future was prospected，in order to provide reference for the application research of cucumber diseases intelligent identification.

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