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Screening of miRNAs Related to High Temperature Stress in Maize Pollen and Analysis of Their Target Genes LI Chuan, ZHANG Panpan, ZHANG Meiwei, NIU Jun, MU Weilin, GUO Hanxiao, QIAO Jiangfang Journal of Henan Agricultural Sciences    2024, 53 (2): 1-16.   DOI: 10.15933/j.cnki.1004-3268.2024.02.001 Abstract （77）      PDF （4835KB）（78）       Knowledge map    Save By using high⁃throughput miRNA sequencing technology，differentially expressed miRNAs were indentified in pollens of high heat tolerant maize variety Zhengdan 958 and low heat tolerant maize variety Xianyu 335 under high temperature stress at flowering stage，their target genes were predicted，and the enrichment analysis of genetic characteristics and metabolic pathways of these target genes were conducted. The results showed that a total of 818 miRNA precursor sequences were identified. Nineteen significantly differentially expressed miRNA sequences were screened in the group of Zhengdan 958 pollen under high temperature stress compared with the control pollen under normal condition(HT958 vs CK958). Among them，15 miRNA sequences were up⁃regulated，4 miRNA sequences were down⁃regulated，and expression level difference of 3 miRNA sequences reached extremely significant level( P<0.01).The predicted results of target genes of 19 differentially expressed miRNA sequences showed that a total of 503 gene transcripts were obtained，their enriched GO biological process terms included regulation of transcription，DNA⁃templated，microtubule⁃based process，hosphorylation，positive regulation of transcription by RNA polymerase Ⅱ ，methylation and so on，and the most significantly enriched KEGG pathways were glutathione metabolism，carbon metabolism，arachidonic acid metabolism lycolysis/gluconeogenesis，folate biosynthesis and so on. Fiveteen significantly differentially expressed miRNA sequences were identified in the group of Xianyu 335 pollen under high temperature stress compared with the control pollen(HT335 vs CK335). Among them，7 miRNA sequences were up⁃regulated,8 were down⁃regulated，and the expression level difference of 1 miRNA sequence reached highly significant level( P<0.01).The predicted results of target genes of 15 differentially expressed miRNA sequences showed that a total of 454 gene transcripts were obtained，their enriched GO biological process terms included regulation of transcription，DNA⁃templated，phosphorylation，protein phosphorylation,proteolysis，DNA repair and so on，and the most significantly enriched KEGG pathways were other glycan degradation,linoleic acid metabolism,metabolic pathways，thiamine metabolism，protein processing in endoplasmic reticulum and so on.Eighty⁃five significantly differentially expressed miRNA sequences were identified in the group of Zhengdan 958 pollen under high temperature stress compared with Xianyu 335 pollen under high temperature stress(HT985 vs HT335). Among them，35 miRNA sequences were up⁃regulated，50 were down⁃regulated，and expression level difference of 24 miRNA sequences reached extremely significant level( P<0.01). The predicted results of target genes of 85 differentially expressed miRNA sequences showed that a total of 2 286 gene transcripts were obtained，their enriched GO biological process terms included regulation of transcription，DNA⁃templated，phosphorylation,protein phosphorylation,proteolysis,transmembrane transport and so on，the most significantly enriched KEGG pathways were sphingolipidmetabolism，starch and sucrose metabolism，other glycan degradation，metabolic pathways，cysteine and methionine metabolism and so on. Ninety⁃four significantly differentially expressed miRNA sequences were identified in the HT958 vs CK958 group compared with HT335 vs CK335 group. The predicted results of target genes of 94 differentially expressed miRNA sequences showed that a total of 4 569 gene transcripts were obtained.Among them，the expression level difference of 28 miRNA sequences showed extremely significant( P<0.01),including PC⁃3p⁃10069_1143C⁃3p⁃18335_646，zma⁃miR164f⁃5p and so on. The enriched GO biological process terms of target genes of 94 differentially expressed miRNA sequences included regulation of transcription,DNA⁃templated,phosphorylation,protein phosphorylation,protein transport,proteolysis and so on,and the most significantly enriched KEGG pathways were protein processing in endoplasmic reticulum，ribosome biogenesis in eukaryotes，spliceosome，sphingolipid metabolism，endocytosis and so on. Reference | Related Articles | Metrics

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Effects of Temperature and Light Conditions on Yield and Quality of Indica Rice under Different Sowing Dates FAN Yifan, ZHANG Yanyan, WANG Yimei, LI Junzhou, DU Yanxiu, SUN Hongzheng, PENG Ting, ZHAO Quanzhi, ZHANG Jing Journal of Henan Agricultural Sciences    2024, 53 (2): 17-27.   DOI: 10.15933/j.cnki.1004-3268.2024.02.002 Abstract （76）      PDF （1668KB）（68）       Knowledge map    Save In order to clarify the temperature and light conditions for high yield and high quality of indica rice in southern Henan，a field experiment was conducted with three indica rice varieties（Zhaoyou 5431，Zhongzheyou 8 and Yliangyou 900） as experimental materials. The accumulated temperature，accumulated light time and accumulated light intensity of indica rice from heading to maturity under different sowing dates of April 15（T1），April 30（T2），May 15（T3），May 30（T4）and June 14（T5）were analyzed for two consecutive years，and the rice yield，milling quality，appearance quality，nutritional quality and cooking quality were analyzed.The redundancy analysis（RDA）of the effect of temperature and light factors on the quality of indica rice under different sowing dates was carried out，and the key environmental factors affecting the quality of rice in southern Henan were found through the interpretation rate of temperature and light factors. The results showed that with the delay of sowing date，the yield，milling quality and nutritional quality of the three indica rice varieties increased first and then decreased.In the two years，the yield of T2 treatment was the highest，the milling quality，appearance quality and cooking quality were better，and the yield and quality of T5 treatment were the worst. Among them，in 2019，the yield of T2 treatment increased by 129.4% compared with T5 treatment，the head milled rice rate increased by 32.1%，the chalkiness degree and chalky grain rate decreased by 69.8% and 69.9%，respectively，and the amylose content decreased by 13.7%. In 2020，the yield of T2 treatment increased by 271.0% compared with T5 treatment，the head milled rice rate increased by 83.9%，the chalkiness degree and chalky grain rate decreased by 85.2% and 77.6%，respectively，and the amylose content decreased by 19.2%. The protein content of rice was the highest under T3 treatment，which was 13.6% and 20.0% higher than that under T5 treatment in 2019 and 2020，respectively. There was no significant difference in quality indexes between T2 and T3 treatments.The yield of Yliangyou 900 under T2 treatment was the highest in both years，and its quality was better. The accumulated temperature，accumulated light time and accumulated light intensity of the three varieties from heading to maturity decreased with the delay of sowing date. The accumulated temperature and accumulated light time of Yliangyou 900 decreased the most，and the decrease of Zhaoyou 5431 and Zhongzheyou 8 was similar.RDA and interpretation rate analysis showed that the temperature and light factors from heading to mature stage were the main environmental factors that caused the difference of rice quality，and the accumulated light time of 10—20 days after heading was the most important ecological factor affecting rice quality. In summary，the yield of indica rice in southern Henan is the highest when sown on April 30，and the quality is better. Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2014, 43 (3): 47-52.   Abstract （56）      PDF （933KB）（612）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2012, 41 (2): 26-32.   Abstract （86）      PDF （316KB）（495）       Knowledge map    Save Related Articles | Metrics

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Design of Automatic Control System for Greenhouse Environment SHAN Huiyong, ZHANG Chenghao, LI Chenyang, ZHAO Hui, WEI Yong, GUO Xucun Journal of Henan Agricultural Sciences    2021, 50 (8): 174-180.   DOI: 10.15933/j.cnki.1004-3268.2021.08.021 Abstract （249）      PDF （2433KB）（239）       Knowledge map    Save In order to realize the adaptive adjustment of greenhouse environmental parameters，based on the greenhouse light intensity and carbon dioxide optimization model，an automatic control system for greenhouse environment was designed. Real time acquisition of temperature，light intensity，CO 2 and other parameters in greenhouse was done by PLC，remote communication was realized through OPC（OLE for process control）communication protocol，combined with data read in real time，according to the optimization model，the optimal CO 2 concentration and light intensity of crop growth in different temperature environment were analyzed and predicted，gas fertilizer generator and fill light lamp were controlled. At the same time，for the convenience of operators monitoring greenhouse real‑time environmental change and making corresponding decision control，a human‑computer interaction GUI interface based on MATLAB was designed.The preliminary test results showed that the control system could be used for crop growth adaptive light and air replenishment.The increment of photosynthetic rate during the regulation period was 1 176. 918 μmol/（m 2·s）.Data transmission was steady and real‑time feedback was good.The control system can automatically regulate the greenhouse environment，beneficial to the intelligent development of facility greenhouse. Table and Figures | Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2010, 39 (4): 36-38.   DOI: 10.3969/j.issn.1004-3268.2010.04.010 Abstract （55）      PDF （174KB）（252）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2010, 39 (9): 22-25.   DOI: 10.3969/j.issn.1004-3268.2010.09.005 Abstract （44）      PDF （337KB）（431）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2014, 43 (2): 1-5.   Abstract （44）      PDF （244KB）（446）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2009, 38 (9): 102-108.   DOI: 10.3969/j.issn.1004-3268.2009.09.026 Abstract （22）      PDF （466KB）（359）       Knowledge map    Save Related Articles | Metrics

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A Method for Monitoring the Critical Growth Stages of Winter Wheat by Using Near‑earth Remote Sensing WEI Qingwei, ZHU Liming , WANG Fuzhou Journal of Henan Agricultural Sciences    2021, 50 (10): 163-171.   DOI: 10.15933/j.cnki.1004-3268.2021.10.021 Abstract （817）      PDF （2022KB）（182）       Knowledge map    Save The aim is to explore the effective method for monitoring the critical growth stages of winter wheat.Firstly，the device for measuring normalized vegetation index（SRS‑NDVI）was used to monitor time series normalized difference vegetation index（NDVI）of winter wheat growing season in 2017—2018 and 2018—2019 at Hebi Agrometeorological Experimental Station. Then，the neighborhood difference analysis method was used to reconstruct time series normalized difference vegetation index，and the S‑G filtering method（Savitzky‑golay，S‑G）was used to smooth the noise in normalized difference vegetation index time series.Finally，according to the characteristics of normalized difference vegetation index time series，the generalized dynamic threshold method，curve rate method and extreme value method were used to extract the key growth stages of winter wheat. The results showed that the neighborhood difference analysis method could effectively remove obvious abnormal values in normalized difference vegetation index time series. Besides，the normalized difference vegetation index time series processed by S‑G filtering method was more in line with the normalized difference vegetation index change rule of winter wheat.In addition，the average error of the critical growth stages of winter wheat was 2. 5 days，and the accuracy was significantly higher than that extracted by using satellite remote sensing. Table and Figures | Reference | Related Articles | Metrics

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Effects of Different Kinds of Plastic Film Mulching on Soil Moisture，Temperature，Foxtail Millet Growth and Yield LUO Shiwu, LI Kai, LAI Xingliang, CHENG Bingwen Journal of Henan Agricultural Sciences    2022, 51 (7): 42-50.   DOI: 10.15933/j.cnki.1004-3268.2022.07.005 Abstract （163）      PDF （1798KB）（194）       Knowledge map    Save In the arid and semi‑arid areas of Ningxia Hui Autonomous Region，three kinds of plastic film mulching treatments including water‑permeable plastic film（T1），biodegradable plastic film（T2）and ordinary plastic film（T3）were set up，with open field（T4）planting as control，and the effects of different kinds of plastic film mulching on soil water content，water use efficiency，soil temperature，foxtail millet growth，yield and economic benefit were studied，so as to provide a theoretical basis for the popularization and application of plastic film mulching cultivation techniques in arid and semi‑arid areas of Ningxia Hui Autonomous Region.The results showed that compared with T4 treatment，each growth stage of T1 and T3 treatments was earlier，the growth period was shortened by 2 d，and the growth period of T2 treatment was prolonged by 5 d.The soil water content order was T1>T3>T2>T4，and the water use efficiency order wasT1>T3>T2>T4.In general，the soil temperature of plastic film mulching treatments was higher than that of T4 treatment at each growth stage. Overall，plastic film mulching increased soil organic total nitrogen，available nitrogen，available potassium contents. Compared with T4 treatment，the leaf SPAD value and dry matter accumulation of foxtail millet of T1，T2 and T3 treatments increased，T1 treatment was the highest，and T3 treatment was the second. The plant height，spike length，spike neck length，spikelet number per spike，grain weight of main spike，main spike weight，1 000‑grain weight and yield of T1，T2 and T3 treatments increased in different ranges. The overall performance of T1 treatment was the best，followed by T3 treatment.Among them，the yield order was T1>T3>T2>T4.Compared with T4 treatment，the yields of T1，T3 and T2 treatments significantly increased by 22.08%，21.77% and 12.30%respectively，there was no significant difference between T1 treatment and T3 treatment，but they were significantly higher than that of T2 treatment.The output‑input ratio order was T1=T3>T4>T2，and the net income order was T1>T3>T4>T2.The output‑input ratio of T1 treatment was 1.81，and the net income was 9 210.6 Yuan/ha，which was 28.69% higher than that of T4 treatment. In summary，T1 treatment was the best，followed by T3 treatment. Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2010, 39 (6): 150-155.   DOI: 10.3969/j.issn.1004-3268.2010.06.039 Abstract （87）      PDF （192KB）（511）       Knowledge map    Save Related Articles | Metrics

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Optimization of Mixed Microbial Solid⁃State Fermentation and Analysis of Volatile Aroma Components in Low⁃Grade Tobacco Leaves LI Meng, WANG Xudong, LUO Zhaobiao, SONG Jiabao, QU Peng, HOU Ningning, GUO Linqing, RAO Zhi, MA Lin Journal of Henan Agricultural Sciences    2022, 51 (9): 171-180.   DOI: 10.15933/j.cnki.1004-3268.2022.09.018 Abstract （141）      PDF （2291KB）（191）       Knowledge map    Save In order to explore the best conditions of mixed microbial solid⁃state fermentation of low⁃grade tobacco leaves，this study investigated the effects of single and mixed microbial fermentation on volatile aroma components of tobacco leaves.Two flavour⁃producing yeast strains（YJX，MG）were used as test strains.The optimal fermentation conditions of tobacco leaves were determined by single factor experiment and orthogonal optimization experiment with the content of volatile aroma components as evaluation indicator.The volatile aroma components of tobacco leaves without microbial fermentation and fermented tobacco leaves were analyzed by simultaneous distillation extraction and gas chromatography⁃mass spectrometry（GC/MS）.The improvement of the quality of the low⁃grade tobacco leaves after fermentation under the optimum fermentation conditions was studied. The results showed that the optimum fermentation conditions were fermentation temperature of 30℃，mixed microbial ratio（YJX∶MG）of 2∶1，inoculation amount of 25% and fermentation time of 24 h.The primary and secondary factors affecting the content of aroma substances in the fermentation process were mixed microbial ratio>inoculation amount>fermentation temperature. GC/MS analysis showed that 95 volatile aroma components were detected，including 12 alcohols，21 carbonyls，8 acids，15 esters and lactones，23 hydrocarbons，10 heterocycles and 6 phenols.The content of volatile aroma components in tobacco leaves fermented by mixed microbes was significantly higher than that of tobacco leaves fermented by single microbe and without microbes.Mixed fermentation could increase the volatile aroma components of tobacco leaves，improve the aroma quality and quantity，and significantly improve the quality of tobacco leaves. Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2018, 47 (7): 48-52.   Abstract （73）      PDF （834KB）（281）       Knowledge map    Save Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2012, 41 (8): 1-5.   Abstract （38）      PDF （206KB）（409）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2012, 41 (9): 50-52.   Abstract （56）      PDF （199KB）（256）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2011, 40 (3): 19-24.   Abstract （37）      PDF （511KB）（564）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2005, 34 (1): 9-12.   DOI: 10.3969/j.issn.1004-3268.2005.01.002 Abstract （57）      PDF （141KB）（701）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2006, 35 (4): 9-12.   DOI: 10.3969/j.issn.1004-3268.2006.04.002 Abstract （58）      PDF （145KB）（517）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2010, 39 (2): 83-86.   DOI: 10.3969/j.issn.1004-3268.2010.02.024 Abstract （40）      PDF （279KB）（389）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2013, 42 (12): 11-15.   Abstract （54）      PDF （226KB）（578）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2014, 43 (5): 114-117.   Abstract （109）      PDF （198KB）（604）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2014, 43 (12): 1-5.   Abstract （41）      PDF （228KB）（362）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2006, 35 (12): 5-8.   DOI: 10.3969/j.issn.1004-3268.2006.12.001 Abstract （19）      PDF （285KB）（478）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2016, 45 (9): 1-7.   Abstract （82）      PDF （643KB）（269）       Knowledge map    Save Related Articles | Metrics

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Evaluation of Inland Superior Cotton Resources and Their Application in Xinjiang Cotton Breeding TANG Zhongjie, XIE Deyi, YU Yuebo, FANG Weiping, LU Fengyin Journal of Henan Agricultural Sciences    2024, 53 (2): 37-45.   DOI: 10.15933/j.cnki.1004-3268.2024.02.004 Abstract （35）      PDF （1669KB）（27）       Knowledge map    Save The aim is to comprehensively utilize inland cotton resources，solve the problems involved in Xinjiang cotton breeding，such as narrow genetic basis and serious homogenization，and cultivate new cotton varieties with high and stable yield that are more suitable for whole⁃process mechanization in Xinjiang. Using 160 inland cotton resources as materials，the identification of biological characteristics was conducted in Korla，Xinjiang. The parental selection and systematic selection of cotton breeding in Xinjiang were guided through correlation and cluster analysis. The yield potential and stability of progeny strains were comprehensively evaluated by the mean of GGE biplot.The results showed that there were regional differences in the cultivation of inland cotton resources in Xinjiang. The cotton resources with a dimension of origin similar to that of the Xinjiang pilot showed excellent adaptability. Its grey clustering evaluation got a high score.78 superior resources showed rich genetic variation.These resources were divided into four groups at 11.486 of Euclidean distance.The third group mainly composed of cotton resources from the Yellow River basin showed the best performance. Therefore，the third group was considered the characteristic group for the utilization of inland cotton resources in Xinjiang. The results of the principal component analysis indicated that the first principal component had the largest characteristic value and the highest variance contribution rate. As a comprehensive factor related to yield potential，it can be used as the basis for comprehensively evaluating the quality of cotton resources.Finally，the yield potential and stability of 16 progeny strains with inland superior resources as parents were evaluated according to the GGE biplot，and the target cotton line M5 with yield potential and stability was selected. Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2011, 40 (2): 16-18.   Abstract （228）      PDF （143KB）（868）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2004, 33 (10): 83-84.   DOI: 10.3969/j.issn.1004-3268.2004.10.029 Abstract （23）      PDF （68KB）（246）       Knowledge map    Save Related Articles | Metrics

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Genetic Diversity Analysis of Ornamental Peach Germplasm Based on Phenotypic Traits QIAO Yuxuan, SHEN Xiaoxiao, JIAO Xuehui, ZHOU Xiaojuan, YUE Changping, SHI Xibing Journal of Henan Agricultural Sciences    2024, 53 (2): 108-117.   DOI: 10.15933/j.cnki.1004-3268.2024.02.012 Abstract （36）      PDF （2204KB）（26）       Knowledge map    Save With 106 ornamental peach germplasm resources collected from the ornamental peach resource nursery of Yanling Institute of Forestry Science as research materials,diversity analysis was conducted on 30 phenotypic traits(18 quality traits and 12 quantitative traits)by calculating coefficient of variation and diversity index,combining correlation,principal component，and cluster analysis.The results showed that there were significant differences in traits and rich genetic diversity among 106 ornamental peach germplasm resources.Among them,the average coefficient of variation for quantitative traits was 33.80%,with the maximum coefficient of variation for petal number,being 68.17%.The average diversity index was 1.82,with the highest diversity index for flower diameter and petal length,both being 2.07.The diversity index for quality traits(0.85)was lower than that for quantitative traits,with the highest diversity index for petal color,being 1.87.Correlation and principal component analysis showed that there were 111 pairs and 39 pairs of traits with extremly significantly and significantly correlated,and the cumulative contribution rate of 9 principal components was 72.691%.Dwarf type,flower type,petal type,number of sepals,flower diameter,number of petals,petal width,etc.were the main traits that affected the phenotype of ornamental peaches. Based on the genetic differences in traits between germplasms，when the genetic distance was 6.5,the test materials were divided into 11 groups.The genetic clustering was closely related to plant type,flower type,petal type,petal color,anther color,branch color,leaf color,and other traits. Based on the clustering results,18 excellent germplasm resources were selected.In summary,the main phenotypic traits of 106 ornamental peach germplasm resources exhibit rich genetic diversity. Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2014, 43 (10): 26-29.   Abstract （105）      PDF （490KB）（478）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2012, 41 (12): 20-23.   Abstract （47）      PDF （401KB）（718）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2011, 40 (12): 61-64.   Abstract （16）      PDF （187KB）（292）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2006, 35 (3): 66-68.   DOI: 10.3969/j.issn.1004-3268.2006.03.020 Abstract （34）      PDF （125KB）（294）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2010, 39 (4): 115-118.   DOI: 10.3969/j.issn.1004-3268.2010.04.032 Abstract （145）      PDF （211KB）（696）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2019, 48 (2): 112-119.   Abstract （110）      PDF （3238KB）（262）       Knowledge map    Save Reference | Related Articles | Metrics

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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 （384）      PDF （1262KB）（399）       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

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Effects of Artificial Diet and Mulberry Leaves on Activities of Three Metabolic Enzymes in Bombyx mori WANG Yongsheng, ZHU Shuifen, CHEN Song, CHEN Yunming, JIANG Ya, FAN Yonghui, YANG Qihui, LI Qiongyan, YANG Hai Journal of Henan Agricultural Sciences    2023, 52 (1): 154-160.   DOI: 10.15933/j.cnki.1004-3268.2023.01.016 Abstract （94）      PDF （1380KB）（130）       Knowledge map    Save In order to clarify the effects of artificial diet and mulberry leaves on the activities of metabolic enzymes in silkworm，the spectrophotometry was used to detect the changes of alkaline phosphatase （ALP），carboxylesterases（CarE）and acetylcholinesterase（AchE）activities in hemolymph and midgut of Bombyx mori after reared with artificial diet and mulberry leaves from the fifth newly exuviated larvae with different time. Results showed that the ALP activity in hemolymph had no significant change after reared with artificial diet，while its activity showed a trend of increasing gradually after reared with mulberry leaves；the ALP activity in mulberry leaf group was significantly higher than the artificial diet group at 60 h and 72 h.The CarE activity in hemolymph increased gradually with the extension of rearing time both in the mulberry leaf group and artificial diet group，the enzyme activity of artificial diet group was slightly higher than that of mulberry leaf group，but the difference was not significant.In hemolymph，the AchE activity of mulberry leaf group was slightly lower than that of artificial diet group at 12 h and24 h；At 36 h，the AchE activity began to increase in the mulberry leaf group and was higher than that of artificial diet group at 48 h，60 h and 72 h，the AchE activity was 1.52，1.64 and 1.71 times that of artificial diet group，respectively.In midgut of silkworm reared with mulberry leaves，the ALP activity was significantly higher than that in artificial diet group at 36 h and continued to increase with extension of time，the enzyme activity was extremely significantly higher than that in artificial diet group at 72 h，which was 2.13 times that in artificial diet group. In midgut of silkworm reared with artificial diet group，the CarE activity was significantly higher than that of the mulberry leaf group at 24 h and reached the maximum value at 60 h，which was 2.61 times that in mulberry leaf group.At 72 h，the CarE activity showed a decreasing trend，but it was still significantly higher than that of mulberry leaf group.The AchE activity in midgut of silkworm reared with mulberry leaves was significantly higher than that of the artificial diet group at 12 h and continued to increase from 24 h to 48 h.In addition，the AchE activity was extremely significantly higher than that of artificial diet group at 60 h and 72 h，which were 2.68 and 2.84 times that of artificial diet group，respectively.These results indicated that the activities of ALP and AchE in hemolymph and midgut of silkworm reared with artificial diet were significantly lower than those of mulberry leaf group，while the activity of CarE in the midgut was significantly higher than that of the mulberry leaf group.It suggests that the metabolic physiology of silkworm reared with artificial diet is influenced to some extent，which results in a reduced resistance of silkworm against unfavorable environment.   Reference | Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2013, 42 (4): 188-192.   Abstract （38）      PDF （803KB）（284）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2013, 42 (2): 1-6.   Abstract （50）      PDF （400KB）（209）       Knowledge map    Save Related Articles | Metrics

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Journal of Henan Agricultural Sciences    2012, 41 (2): 122-125.   Abstract （24）      PDF （322KB）（247）       Knowledge map    Save Related Articles | Metrics