Most Download Articles

Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

Most Downloaded in Recent Year

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Journal of Henan Agricultural Sciences    2015, 44 (2): 91-93,100.   Abstract （24）      PDF （31024KB）（1187）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2011, 40 (2): 16-18.   Abstract （234）      PDF （143KB）（891）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2019, 48 (8): 1-6.   Abstract （1178）      PDF （843KB）（846）       Knowledge map    Save Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2006, 35 (1): 94-96.   DOI: 10.3969/j.issn.1004-3268.2006.01.027 Abstract （6）      PDF （293KB）（416）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2014, 43 (3): 47-52.   Abstract （57）      PDF （933KB）（632）       Knowledge map    Save Related Articles | Metrics

Select

Research Progress on Plant Phenomics in the Context of Smart Agriculture YANG Wenqing, LIU Tianxia, TANG Xingping, XU Guofu, MA Zhe, YANG Hekai, WU Wendou Journal of Henan Agricultural Sciences    2022, 51 (7): 1-12.   DOI: 10.15933/j.cnki.1004-3268.2022.07.001 Abstract （395）      PDF （1262KB）（437）       Knowledge map    Save China’s agriculture is in the key stage of changing from traditional agriculture to modern agriculture.Smart agriculture is an important embodiment of modern agricultural development and an inevitable trend of agricultural development in the future.Smart agriculture aims to deeply combine modern information technologies such as internet of things，artificial intelligence and big data with traditional agriculture to make agricultural production intelligent，green，standardized and digital.Plant phenomics is a science to study the characteristics of plant phenotypes，which is one of the key technologies for the development of smart agriculture.By collecting phenotypic data at all levels of cells，organs，tissues，plants and populations，plant phenomics extracts important trait information with high repeatability and high reliability from massive data，so as to provide data support and method support for gene mining，crop breeding and accurate management of agricultural production process.This paper reviews the development status of plant phenomics under the background of smart agriculture from the aspects of phenotypic data collection and analysis and the construction of plant phenotypic analysis platform at home and abroad，summarizes the application of plant phenomics research in smart agricultural production，and finally looks forward to the future development trend of plant phenomics. Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2005, 34 (1): 9-12.   DOI: 10.3969/j.issn.1004-3268.2005.01.002 Abstract （57）      PDF （141KB）（716）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2006, 35 (2): 72-75.   DOI: 10.3969/j.issn.1004-3268.2006.02.020 Abstract （12）      PDF （186KB）（486）       Knowledge map    Save Related Articles | Metrics

Select

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 （167）      PDF （3989KB）（340）       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2011, 40 (12): 20-24.   Abstract （43）      PDF （223KB）（609）       Knowledge map    Save Related Articles | Metrics

Select

Research Progress on Preparation and Application of Straw Wood Vinegar ZHAO Shuheng, LI Zhuojie, LIU Xiaofeng, HU Jianjun, DING Yanbo Journal of Henan Agricultural Sciences    2022, 51 (1): 1-10.   DOI: 10.15933/j.cnki.1004-3268.2022.01.001 Abstract （377）      PDF （1429KB）（452）       Knowledge map    Save Wood vinegar，as a valuable acidic by‐product in the process of biomass pyrolysis for carbon production，is rich in various organic compounds such as acids，alcohols，phenols，aldehydes，esters，ethers and a small amount of metal elements，which has a high application value.In the raw material of wood vinegar，because of low lignin content and poor quality in straw，the development and application of straw wood vinegar are slow.However，the study of straw wood vinegar is of great significance to the utilization of agricultural waste and has a broad development prospect.In order to provide references for the further development and efficient utilization of straw wood vinegar，the crude preparation and refining technology of straw wood vinegar were introduced，the composition and physicochemical properties of straw wood vinegar were summarized，and the research and application progresses of straw wood vinegar in agriculture，medicine and health and other fields were reviewed. Table and Figures | Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2010, 39 (6): 141-143.   DOI: 10.3969/j.issn.1004-3268.2010.06.036 Abstract （157）      PDF （127KB）（507）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2010, 39 (4): 115-118.   DOI: 10.3969/j.issn.1004-3268.2010.04.032 Abstract （147）      PDF （211KB）（732）       Knowledge map    Save Related Articles | Metrics

Select

Research Progress on Cold Resistance of Wheat FANG Yuhui, HAN Liupeng, HUA Xia, ZHAO Mingzhong, GUO Rui, QI Xueli, HU Lin Journal of Henan Agricultural Sciences    2022, 51 (4): 1-10.   DOI: 10.15933/j.cnki.1004-3268.2022.04.001 Abstract （379）      PDF （1275KB）（409）       Knowledge map    Save The freeze injury is a frequent natural disaster in wheat production，which is one of the important environmental factors restricting wheat yield and quality. In this paper，the type of wheat freeze injury，the physiological mechanism（cell membrane system，osmotic adjustment substances，antioxidant system，photosynthetic characteristics and endogenous hormones）and molecular mechanisms（cold resistant genes，cold resistant omics） of wheat cold resistance were summarized. The problems and solutions in the study of wheat cold resistance were also discussed，which provided an important reference for the research of cold resistance mechanism and breeding of wheat. Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2012, 41 (12): 20-23.   Abstract （48）      PDF （401KB）（750）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2013, 42 (12): 11-15.   Abstract （55）      PDF （226KB）（618）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2006, 35 (4): 9-12.   DOI: 10.3969/j.issn.1004-3268.2006.04.002 Abstract （61）      PDF （145KB）（554）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2010, 39 (9): 22-25.   DOI: 10.3969/j.issn.1004-3268.2010.09.005 Abstract （48）      PDF （337KB）（461）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2011, 40 (3): 19-24.   Abstract （38）      PDF （511KB）（592）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2014, 43 (5): 114-117.   Abstract （113）      PDF （198KB）（628）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2005, 34 (5): 30-32+45.   DOI: 10.3969/j.issn.1004-3268.2005.05.010 Abstract （51）      PDF （140KB）（580）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2014, 43 (10): 26-29.   Abstract （106）      PDF （490KB）（495）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2011, 40 (5): 104-107.   Abstract （19）      PDF （307KB）（418）       Knowledge map    Save Related Articles | Metrics

Select

Effects of Organic Fertilizer Combined with Inorganic Fertilizer on Growth,Yield and Quality of Potato LIU Shuancheng Journal of Henan Agricultural Sciences    2020, 49 (3): 32-39.   DOI: 10.15933/j.cnki.1004-3268.2020.03.005 Abstract （109）      PDF （1604KB）（373）       Knowledge map    Save In order to improve yield and quality of potato and reduce the adverse effects of excessive use of inorganic fertilizer on environment,the field experiment was carried out to study the effects of organic fertilizer combined with inorganic fertilizer on growth, yield and quality.The experiment included the following four treatments: inorganic fertilizer(CK),organic nitrogen ∶inorganic nitrogen=2∶8( T1),organic nitrogen ∶ inorganic nitrogen=3∶7(T2),organic nitrogen ∶ inorganic nitrogen=4∶6(T3).The results showed that organic fertilizer combined with inorganic fertilizer could increase agronomic traits indexes,chlorophyll content,dry root weight,yield and quality of potato.The indexes of agronomic traits of T1 treatment were significantly higher than those of CK and T3 treatment(except for main stems number),and there was no significant difference between T1 and T2 treatments.The dry root weight of T2 treatment was the highest in each period. The yield of T2 treatment was the highest,which was 31 572 kg/ha,increased by 22.08% compared with CK.The starch content of T3 treatment was the highest;contents of soluble protein,vitamin C of T2 treatment were the highest;reducing sugar content of T1 treatment was the highest.Overall,organic nitrogen replacing 20%—30% of inorganic nitrogen was appropriate. Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2014, 43 (5): 6-12.   Abstract （113）      PDF （288KB）（492）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2006, 35 (4): 87-88.   DOI: 10.3969/j.issn.1004-3268.2006.04.027 Abstract （22）      PDF （89KB）（426）       Knowledge map    Save Related Articles | Metrics

Select

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 （141）      PDF （1262KB）（224）       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2009, 38 (9): 102-108.   DOI: 10.3969/j.issn.1004-3268.2009.09.026 Abstract （26）      PDF （466KB）（398）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2007, 36 (7): 13-17.   DOI: 10.3969/j.issn.1004-3268.2007.07.003 Abstract （20）      PDF （182KB）（404）       Knowledge map    Save Related Articles | Metrics

Select

Optimization of CRISPR/Cas9 Genome Editing Systems in Protoplasts of Setaria italica LIU Guangyu, XU Xiaojing, XIA Keke, SUN Haixi, TAO Yueru, CUI Zhen, GU Ying Journal of Henan Agricultural Sciences    2022, 51 (1): 34-42.   DOI: 10.15933/j.cnki.1004-3268.2022.01.005 Abstract （404）      PDF （1847KB）（373）       Knowledge map    Save To optimize and screen efficient genome editing systems in millet（Setaria italica），multiple CRISPR/Cas9（clustered regularly interspaced short palindromic repeats/CRISRP‐associated nuclease 9）genome editing systems were constructed with six kinds of gRNAs designed for phytoene desaturase（SiPDS） gene（gRNA1—gRNA2 for exon 1，gRNA3—gRNA6 for exon 12），and transformed into protoplasts of millet by polyethylene glycol‐mediated method. Then the mutation efficiency against SiPDS gene was rapidly detected by large‐scale parallel sequencing. The results showed that the protoplast transformation system established by the young stems of 7 day‐old millet etiolated seedlings had high transformation efficiency from 50. 44% to 57. 36%. Using this method，the gene editing systems with Cas9 gene driven by Super and Ubi promoters were transferred into millet protoplasts，the mutation efficiencies of SiPDS gene were 0. 5% and 5. 5% respectively. Thus，the Cas9 gene of gene editing systems with single gRNA，double gRNA or tRNA cassettes were driven by Ubi promoter，and mutation efficiency of SiPDS gene induced by these systems was compared. It was found that the mutation efficiencies of gene editing system with double gRNA cassettes such as Ubi‐dgRNAE1 and Ubi‐dgRNAE12 were 1. 66 and 1. 11 times higher than that with single gRNA system. The mutation efficiency induced by tRNA‐based system Ubi‐tRNA was 51. 24%，which was 5. 87 times higher than that with single gRNA system. Moreover，Ubi‐tRNA could simultaneously edit multiple sites of SiPDS gene，the multi‐site mutation frequency was 3. 23%. The cleavage activities in vitro of ribonucleoprotein（RNP）complexes which were mixture of gRNA3，gRNA4 or gRNA5 transcripts with Cas9 protein respectively were compared，it was found that RNP‐gRNA5 complex had the highest cleavage activity in vitro，the mutation efficiency of SiPDS gene was 2. 0%，and the dominant mutation type was deletion less than 3 bp. Table and Figures | Reference | Related Articles | Metrics

Select

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 （175）      PDF （1297KB）（210）       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

Research Progress on Iron Element in Rice CHENG Jinping, LIU Xiaogang, YU Xueran, XUE Xinyue, MA Jiaxin, LUO Chengke, TIAN Lei, YANG Shuqin, MA Tianli, LI Peifu Journal of Henan Agricultural Sciences    2021, 50 (6): 1-8.   DOI: 10.15933/j.cnki.1004-3268.2021.06.001 Abstract （262）      PDF （1143KB）（480）       Knowledge map    Save Iron is an essential trace element in the growth and development of organisms.The iron required for rice is mainly absorbed from soil,and plays important roles in rice height,thousand-grain weight,quality and so on. The content of iron in soil in China,genetic difference of iron content in rice,correlation between iron content in rice and agronomic traits of rice,quantitative trait locus(QTL) and genes related with iron content in rice,absorption and transportation mechanism of iron element in rice were reviewed,providing a theoretical basis for iron-rich rice breeding. Related Articles | Metrics

Select

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 （984）      PDF （5367KB）（207）       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

Research Advances in Biological Control of Pepper Fusarium Wilt ZHAO Zhixiang, YAN Wanrong, WANG Bao, HE Shu, ZENG Xiangping, XIAO Tongbin Journal of Henan Agricultural Sciences    2022, 51 (4): 11-21.   DOI: 10.15933/j.cnki.1004-3268.2022.04.002 Abstract （285）      PDF （1298KB）（258）       Knowledge map    Save Fusarium wilt of pepper caused by Fusarium oxysporum is one of the soil‑borne diseases restricting the production of pepper.At present，effective disease‑resistant materials are still lacking，and chemical agents could not control it completely，at the same time causing problems such as environmental pollution，pesticide residues，and bacterial resistance and so on.The use of microorganisms and their metabolites，plant extracts and other biological pesticides for prevention and control can not only control the occurrence of diseases，but also not damage the ecological environment and endanger the health of humans and animals.Biological control meets the requirements of agricultural sustainable development，and has become a hot research topic.In this paper，the research progress of microbial species，plant sources and their biocontrol mechanisms used for the biological control of pepper Fusarium wilt in recent twenty years was reviewed. The existing problems of biocontrol products were analysed，and the future development direction of biocontrol of pepper Fusarium wilt was prospected. Table and Figures | Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2019, 48 (4): 93-101.   Abstract （73）      PDF （2587KB）（351）       Knowledge map    Save Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2013, 42 (1): 1-4.   Abstract （31）      PDF （200KB）（415）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2012, 41 (10): 107-110.   Abstract （19）      PDF （195KB）（380）       Knowledge map    Save Related Articles | Metrics

Select

Isolation and Identification of Soil Bacterial Strains Metabolizing Propionic Acid DU Cuiying, LU Jiayi, HU Lang, YAO Guoxin, DAI Yujun, LI Jing, ZHENG Cao Journal of Henan Agricultural Sciences    2021, 50 (10): 69-75.   DOI: 10.15933/j.cnki.1004-3268.2021.10.009 Abstract （230）      PDF （1595KB）（307）       Knowledge map    Save Isolation and identification of soil bacterial strains that metabolize propionic acid can enrich the scientific understanding of the bacterial types which are able to metabolize propionic acid in nature.Through soil sample pre‑culture，solid plate culture by using propionic acid as the sole carbon source，aswell as morphological observation and the 16S rDNA sequences homologous analysis methods，the targetbacterial strains that were capable of metabolizing propionic acid were isolated and identified.Further，the key enzyme genes of 2‑methylcitrate cycle，the propionic acid metabolizing pathway，in the obtained target strains were analyzed by bioinformatics method.A total of 10 target bacterial strains were isolated and successfully classified：3 strains of Bacillus genus，2 strains of Rhodococcus genus，and 1 strain each for Arthrobacter genus，Streptomyces genus，Microbacterium genus，Isoptericola genus，and Xylanimicrobium genus.Besides，the ability of these bacteria to metabolize propionic acid was significantly different.Bioinformatics analysis showed that most of the strains contained the key enzyme genes of 2‑methylcitrate cycle，and the arrangement of the key enzyme genes was not consistent in different types of bacteria. Table and Figures | Reference | Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2012, 41 (5): 8-14.   Abstract （15）      PDF （994KB）（446）       Knowledge map    Save Related Articles | Metrics

Select

Journal of Henan Agricultural Sciences    2012, 41 (1): 151-155.   Abstract （132）      PDF （219KB）（460）       Knowledge map    Save Related Articles | Metrics