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Effects of Different Pretreatment Modes on the Enzymatic Digestibility of Corn Leaf and Corn Stalk 被引量:8
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作者 苏东海 孙君社 +1 位作者 刘萍 吕燕萍 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2006年第6期796-801,共6页
Corn leaf and corn stalk were pretreated with only hot water and 0.1% sulfuric acid at 160℃ or 200℃, respectively. For hot water pretreatment, the pH of corn stalk hydrolysate decreased more rapidly than that of cor... Corn leaf and corn stalk were pretreated with only hot water and 0.1% sulfuric acid at 160℃ or 200℃, respectively. For hot water pretreatment, the pH of corn stalk hydrolysate decreased more rapidly than that of corn leaf as the reaction time increased. On the contrary, the pH of corn leaf hydrolysate increased more than that of corn stalk with diluted acid addition. Increasing temperature enhanced the xylose dissolution rate and increased cellulose digestibility. Compared with hot water, 0.1% sulfuric acid addition improved the xylan removal and the enzymatic hydrolysis of both corn leaf and corn stalk residue. Much less xylan must be removed to achieve the same cellulose digestibility for the corn leaf as that for the corn stalk; 55% digestibility was obtained when only 32% xylan was removed from corn leaf, whereas corn stalk required removal of about 50% of the xylan to achieve the same di- gestibility. Overall, the descending order of enzymatic digestibility was: dilute acid hydrolysate of corn leaf > dilute acid hydrolysate of corn stalk > water-only hydrolysate of corn leaf > water-only hydrolysate of corn stalk. Finally, one separate pretreatment strategy was developed to transfer corn leaf and corn stalk to fermentable sugars for fur- ther bioenergy production. 展开更多
关键词 PRETREATMENT corn leaf corn stalk xylan removal enzymatic digestibility
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Intelligent diagnosis of northern corn leaf blight with deep learning model 被引量:4
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作者 PAN Shuai-qun QIAO Jing-fen +4 位作者 WANG Rui YU Hui-lin WANG Cheng Kerry TAYLOR PAN Hong-yu 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2022年第4期1094-1105,共12页
Maize(Zea mays L.), also known as corn, is the third most cultivated crop in the world. Northern corn leaf blight(NCLB) is a globally devastating maize foliar disease caused by Setosphaeria turcica(Luttrell) Leonard a... Maize(Zea mays L.), also known as corn, is the third most cultivated crop in the world. Northern corn leaf blight(NCLB) is a globally devastating maize foliar disease caused by Setosphaeria turcica(Luttrell) Leonard and Suggs. Early intelligent diagnosis and warning is an effective and economical strategy to control this disease. Today, deep learning is beginning to play an essential role in agriculture. Notably, deep convolutional neural networks(DCNN) are amongst the most successful machine learning techniques in plant disease detection and diagnosis. Our study aims to identify NCLB in the maize-producing area in Jilin Province based on several DCNN models. We established a database of 985 leaf images of healthy and infected maize and applied data augmentation techniques including image segmentation, image resizing, image cropping, and image transformation, to expand to 30 655 images. Several proven convolutional neural networks, such as AlexNet, Google Net, VGG16, and VGG19, were then used to identify diseases. Based on the best performance of the DCNN pre-trained model Google Net, some of the recent loss functions developed for deep facial recognition tasks such as Arc Face, Cos Face, and A-Softmax were applied to detect NCLB. We found that a pre-trained Google Net architecture with the Softmax loss function can achieve an excellent accuracy of 99.94% on NCLB diagnosis. The analysis was implemented in Python with two deep learning frameworks, Pytorch and Keras. The techniques, training, validation, and test results are presented in this paper. Overall, our study explores intelligent identification technology for NCLB and effectively diagnoses NCLB from images of maize. 展开更多
关键词 MAIZE northern corn leaf blight Setosphaeria turcica intelligent diagnosis deep learning convolutional neural network
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Distribution,Etiology,Molecular Genetics and Management Perspectives of Northern Corn Leaf Blight of Maize(Zea mays L.)
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作者 M.Ashraf Ahangar Shabir Hussain Wani +11 位作者 Zahoor A.Dar Jan Roohi Fayaz Mohiddin Monika Bansal Mukesh Choudhary Sumit K.Aggarwal S.A.Waza Khursheed Ahmad Dar Ayman El Sabagh Celaleddin Barutcular Omer Konuşkan Mohammad Anwar Hossain 《Phyton-International Journal of Experimental Botany》 SCIE 2022年第10期2111-2133,共23页
Maize is cultivated extensively throughout the world and has the highest production among cereals.However,Northern corn leaf blight(NCLB)disease caused by Exherohilum turcicum,is the most devastating limiting factor o... Maize is cultivated extensively throughout the world and has the highest production among cereals.However,Northern corn leaf blight(NCLB)disease caused by Exherohilum turcicum,is the most devastating limiting factor of maize production.The disease causes immense losses to corn yield if it develops prior or during the tasseling and silking stages of crop development.It has a worldwide distribution and its development is favoured by cool to moderate temperatures with high relative humidity.The prevalence of the disease has increased in recent years and new races of the pathogen have been reported worldwide.The fungus E.turcicum is highly variable in nature.Though different management strategies have proved effective to reduce economic losses from NCLB,the development of varieties with resistance to E.turcicum is the most efficient and inexpensive way for disease management.Qualitative resistance for NCLB governed by Ht genes is a race-specific resistance which leads to a higher level of resistance.However,some Ht genes can easily become ineffective under the high pressure of virulent strains of the pathogen.Hence,it is imperative to understand and examine the consistency of the genomic locations of quantitative trait loci for resistance to NCLB in diverse maize populations.The breeding approaches for pyramiding resistant genes against E.turcicum in maize can impart NCLB resistance under high disease pressure environments.Furthermore,the genome editing approaches like CRISPR-cas9 and RNAi can also prove vital for developing NCLB resistant maize cultivars.As such this review delivers emphasis on the importance and current status of the disease,racial spectrum of the pathogen,genetic nature and breeding approaches for resistance and management strategies of the disease in a sustainable manner. 展开更多
关键词 Northern corn leaf blight ETIOLOGY Exherohilum turcicum pathogenic variability disease resistance management strategies
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Effects of Different Pretreatment Modes on the Enzymatic Digestibility of Corn Leaf and Corn Stalk
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作者 苏东海 孙君社 +1 位作者 刘萍 吕燕萍 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2006年第6X期796-801,共6页
Corn leaf and corn stalk were pretreated with only hot water and 0.1% sulfuric acid at 160℃ or 200℃, respectively. For hot water pretreatment, the pH of corn stalk hydrolysate decreased more rapidly than that of cor... Corn leaf and corn stalk were pretreated with only hot water and 0.1% sulfuric acid at 160℃ or 200℃, respectively. For hot water pretreatment, the pH of corn stalk hydrolysate decreased more rapidly than that of corn leaf as the reaction time increased. On the contrary, the pH of corn leaf hydrolysate increased more than that of corn stalk with diluted acid addition. Increasing temperature enhanced the xylose dissolution rate and increased cellulose digestibility. Compared with hot water, 0.1% sulfuric acid addition improved the xylan removal and the enzymatic hydrolysis of both corn leaf and corn stalk residue. Much less xylan must be removed to achieve the same cellulose digestibility for the corn leaf as that for the corn stalk; 55% digestibility was obtained when only 32% xylan was removed from corn leaf, whereas corn stalk required removal of about 50% of the xylan to achieve the same di- gestibility. Overall, the descending order of enzymatic digestibility was: dilute acid hydrolysate of corn leaf > dilute acid hydrolysate of corn stalk > water-only hydrolysate of corn leaf > water-only hydrolysate of corn stalk. Finally, one separate pretreatment strategy was developed to transfer corn leaf and corn stalk to fermentable sugars for fur- ther bioenergy production. 展开更多
关键词 PRETREATMENT corn leaf corn STALK XYLAN removal enzymatic DIGESTIBILITY
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Humic Acid Effects on Reducing Corn Leaf Burn Caused by Foliar Spray of Urea-Ammonium Nitrate at Different Humic Acid/Urea-Ammonium Nitrate Ratios
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作者 Xinhua Yin 《Open Journal of Soil Science》 2024年第3期180-189,共10页
Technologies for reducing corn leaf burn caused by foliar spray of urea-ammonium nitrate (UAN) during the early growing season are limited. A field experiment was carried out to evaluate the effects of humic acid on c... Technologies for reducing corn leaf burn caused by foliar spray of urea-ammonium nitrate (UAN) during the early growing season are limited. A field experiment was carried out to evaluate the effects of humic acid on corn leaf burn caused by foliar spray of undiluted UAN solution on corn canopy at Jackson, TN in 2018. Thirteen treatments of the mixtures of UAN and humic acid were evaluated at V6 of corn with different UAN application rates and different UAN/humic acid ratios. Leaf burn during 1 2, 3, 4, 5, 6, 7, and 14 days after UAN foliar spray significantly differed between with or without humic acid addition. The addition of humic acid to UAN significantly reduced leaf burn at each UAN application rate (15, 25, and 35 gal/acre). The reduction of leaf burn was enhanced as the humic acid/UAN ratio went up from 10% to 30%. Leaf burn due to foliar application of UAN became severer with higher UAN rates. The linear regression of leaf burn 14 days after application with humic acid/UAN ratio was highly significant and negative. However, the linear regression of leaf burn 14 days after application with the UAN application rate was highly significant and positive. In conclusion, adding humic acid to foliar-applied UAN is beneficial for reducing corn leaf burn during the early growing season. 展开更多
关键词 Humic Acid Urea-Ammonium Nitrate corn leaf Burn N rate Ratio
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Identification and Fine Mapping of rhm1 Locus for Resistance to Southern Corn Leaf Blight in Maize 被引量:6
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作者 Yuanzeng Zhao Xiaomin Lu +5 位作者 Chaoxian Liu Haiying Guan Mei Zhang Zhongfeng Li Hongwei Cai Jinsheng Lai 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2012年第5期321-329,共9页
rhml is a major recessive disease resistance locus for Southern corn leaf blight (SCLB). To further narrow down its genetic position, F2 population and BCIFI population derived from the cross between resistant (H95... rhml is a major recessive disease resistance locus for Southern corn leaf blight (SCLB). To further narrow down its genetic position, F2 population and BCIFI population derived from the cross between resistant (H95rhm) and susceptible parents (H95) of maize (Zea mays) were constructed. Using newly developed markers, rhml was initially delimited within an interval of 2.5 Mb, and then finally mapped to a 8.56 kb interval between InDel marker IDP961-503 and simple sequence repeat (SSR) marker A194149--1. Three polymorphic markers IDP961-504, IDP B2-3 and A194149-2 were shown to be co-segregated with the rhml locus. Sequence analysis of the 8.56 kb DNA fragment revealed that it contained only one putative gene with a predicted amino acid sequence identical to lysine histidine transporter 1 (LHT1). Comparative sequence analysis indicated that the LHT1 in H95rhrn harbors a 354 bp insertion in its third exon as compared with that of susceptible alleles in B73, H95 and Mo17. The 354 bp insertion resulted in a truncation of the predicted protein of candidate resistance allele (LHT1-H95rhm). Our results strongly suggest LHTI as the candidate gene for rhml against SCLB. The tightly linked molecular markers developed in this study can be directly used for molecular breeding of resistance to Southern corn leaf blight in maize. 展开更多
关键词 Bipolaris maydis FINE-MAPPING MAIZE rhml Southern corn leaf blight Zea mays.
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Ascorbate peroxidase 1 confers resistance to southern corn leaf blight in maize 被引量:4
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作者 Jinghua Zhang Xingmeng Jia +11 位作者 Guan-Feng Wang Shijun Ma Shunxi Wang Qin Yang Xueyan Chen Yuqian Zhang Yajing Lyu Xiaoxu Wang Jiawei Shi Yangtao Zhao Yanhui Chen Liuji Wu 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2022年第6期1196-1211,共16页
Southern corn leaf blight (SCLB), caused by Bipolarismaydis, is one of the most devastatingdiseases affecting maize production. However,only one SLCB resistance gene, conferring partialresistance, is currently known, ... Southern corn leaf blight (SCLB), caused by Bipolarismaydis, is one of the most devastatingdiseases affecting maize production. However,only one SLCB resistance gene, conferring partialresistance, is currently known, underscoring theimportance of isolating new SCLB resistancerelatedgenes. Here, we performed a comparativeproteomic analysis and identified 258 proteinsshowing differential abundance during the maizeresponse to B. maydis. These proteins included anascorbate peroxidase (Zea mays ascorbate peroxidase1 (ZmAPX1)) encoded by a gene locatedwithin the mapping interval of a previously identifiedquantitative trait locus associated with SCLBresistance. ZmAPX1 overexpression resulted inlower H_(2)O_(2) accumulation and enhanced resistanceagainst B. maydis. Jasmonic acid (JA)contents and transcript levels for JA biosynthesisand responsive genes increased in ZmAPX1-overexpressing plants infected with B. maydis,whereas Zmapx1 mutants showed the oppositeeffects. We further determined that low levels of H_(2)O_(2) are accompanied by an accumulation of JAthat enhances SCLB resistance. These resultsdemonstrate that ZmAPX1 positively regulatesSCLB resistance by decreasing H_(2)O_(2) accumulationand activating the JA-mediated defensesignaling pathway. This study identified ZmAPX1as a potentially useful gene for increasing SCLBresistance. Furthermore, the generated datamay be relevant for clarifying the functions ofplant APXs. 展开更多
关键词 ascorbate peroxidase comparative proteomics disease resistance jasmonic acid MAIZE southern corn leaf blight
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Identification and Evaluation of Particular Corn Hybrids with Resistance against Corn Northern Leaf Blight
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作者 王建军 杨书成 +3 位作者 王燕 王富荣 石秀清 赵丽芳 《Plant Diseases and Pests》 CAS 2011年第5期18-20,24,共4页
[ Objective] The paper was to evaluate the resistance of particular corn hybrids against northern leaf blight. [ Method ] Using artificial inoculation meth- od, the resistance of 238 copies of particular corn hybrids ... [ Objective] The paper was to evaluate the resistance of particular corn hybrids against northern leaf blight. [ Method ] Using artificial inoculation meth- od, the resistance of 238 copies of particular corn hybrids including silage corn, high oil corn, waxy corn and sweet corn against northern leaf blight was evaluated. [ Result] The corn samples with high resistance, resistance, moderate resistance, susceptibility and high susceptibility to northern leaf blight among 238 copies of materials in identification accounted for 0.8%, 20.6%, 44. 1%, 24.8% and 9.7%, respectively. Different types of varieties had significant difference in resist- ance. Among cern varieties with moderate resistance or higher level, silage corn accounted for 87.8% ; high oil corn and waxy corn accounted for 73.3% and 61.3 %, respectively; sweet corn was less, accounting for 44.2%. Sixteen of 30 approved particular corn varieties showed resistance, accounting for 53.3 % of total approved varieties. [Condusion] The paper provided theoretical basis for breeding and planting of particular corn hybrids with resistance against northern leaf blight. 展开更多
关键词 Northern leaf blight corn hybrids Resistance identification EVALUATION China
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Research Progress on Northern Leaf Blight in Corn 被引量:2
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作者 ZHAO Yingnan WANG Zhenhua 《Journal of Northeast Agricultural University(English Edition)》 CAS 2009年第2期66-71,共6页
The northem corn leaf blight is one of the most serious diseases in maize production. The research progress on etiology, generation law and control strategy, antigen identification, resistance mechanism and inheritanc... The northem corn leaf blight is one of the most serious diseases in maize production. The research progress on etiology, generation law and control strategy, antigen identification, resistance mechanism and inheritance of this disease was discussed. And the research work which should be enhanced in China was pointed out, such as mechanism of resistance inheritance, developing function marker, gene mining, screening resistance resource and dominant physiological race in different areas. 展开更多
关键词 corn northern leaf blight PROGRESS
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Relationship of late-season ear leaf nitrogen with early- to mid-season plant height of corn
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作者 Xinhua Yin M. Angela McClure Robert M. Hayes 《Agricultural Sciences》 2012年第2期306-316,共11页
Nitrogen concentration in the ear leaf is a good indicator of corn (Zea mays L.) N nutrition status during late growing season. This study was done to examine the relationship of late-season ear leaf N concentration w... Nitrogen concentration in the ear leaf is a good indicator of corn (Zea mays L.) N nutrition status during late growing season. This study was done to examine the relationship of late-season ear leaf N concentration with early- to mid- season plant height of corn at Milan, TN from 2008 to 2010 using linear, quadratic, square root, logarithmic, and exponential models. Six N rate treatments (0, 62, 123, 185, 247, and 308 kg·N·ha-1) repeated four times were implemented each year in a randomized complete block design under four major cropping systems: corn after corn, corn after soybean [Glycine max (L.) Merr.], corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The relationship of ear leaf N concentration determined at the blister growth stage (R2) with plant height measured at the 6-leaf (V6), 10-leaf (V10), and 12-leaf (V12) growth stages was statistically significant and positive in non-irrigated corn under normal weather conditions. However, the strength of this relationship was weak to moderate with the determination coefficient (R2) values ranging from 0.21 to 0.51. This relationship was generally improved as the growing season progressed from V6 to V12. Irrigation and abnormal weather seemed to have adverse effects on this relationship. The five regression models performed similarly in the evaluation of this relationship regardless of growth stage, year, and cropping system. Our results suggest that unlike the relationship of corn yield at harvest with plant height measured during early- to mid-season or the relationship of leaf N concentration with plant height when both are measured simultaneously during early- to mid-season, the relationship of late-season ear leaf N concentration with early- to mid-season plant height may not be strong enough to be used to develop algorithms for variable-rate N applications on corn within a field no matter which regression model is used to describe this relationship. 展开更多
关键词 corn EAR leaf N Plant Height RELATIONSHIP Models CROPPING Systems
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基于转录组数据的玉米小斑病菌EST-SSR分子标记开发及多态性分析
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作者 徐超 李迪 +5 位作者 杨艳艳 马旭阳 马庆周 郭雅双 施艳 张猛 《福建农林大学学报(自然科学版)》 北大核心 2026年第1期33-44,共12页
【目的】基于玉米小斑病菌(Bipolaris maydis)转录组数据鉴定简单重复序列(SSR)位点,开发可用于该植物病原真菌种内遗传变异分析的全新DNA分子标记。【方法】使用MISA软件对玉米小斑病菌去冗余的unigenes进行SSR标记检索与分析,采用Prim... 【目的】基于玉米小斑病菌(Bipolaris maydis)转录组数据鉴定简单重复序列(SSR)位点,开发可用于该植物病原真菌种内遗传变异分析的全新DNA分子标记。【方法】使用MISA软件对玉米小斑病菌去冗余的unigenes进行SSR标记检索与分析,采用Primer 3.0设计SSR引物,通过本地BLASTN比对以及原始测序数据的mapping筛选具有潜在扩增多态性的SSR引物,并通过非变性聚丙烯酰胺凝胶电泳验证所筛选引物的有效性、多态性和通用性。【结果】在14549条玉米小斑病菌unigenes序列中共检索到5767个SSR位点,发生频率和分布频率分别为23.52%和39.64%,平均分布距离为4.94 kb。其中,单核苷酸重复类型最丰富,占总SSR位点总数的40.70%,二核苷酸(28.18%)和三核苷酸重复类型(26.69%)次之。A/T、AC/GT、C/G和AG/CT是其优势重复基序,共占SSR位点总数的67.05%。SSR基序的重复次数主要在5~14次之间,以10次重复最多(占25.92%),其中,绝大部分为单核苷酸。SSR序列长度的分布范围为10~84 bp,以长度为10 bp的SSR位点数量最多,占SSR位点总数的23.32%,序列长度≥20 bp(高多态性)的SSR共有1309条,占总数的22.70%。进一步通过生物信息学手段和PCR产物电泳检测从100对随机抽选的引物中筛选得到29对扩增性好且多态性较高的SSR引物。【结论】玉米小斑病菌转录组含丰富的SSR位点,具有开发多态性引物的潜力;本次筛选得到的SSR引物可用于后续玉米小斑病菌的种群变异及遗传图谱等研究。 展开更多
关键词 玉米小斑病 玉蜀黍平脐蠕孢 转录组 EST-SSR 多态性
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Plant vs. Animal Prototype for Designing Bio-inspired PEMFC Flow Fields: Corn Veins or Murray’s Law? 被引量:1
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作者 Wenxuan Fan Taotao Zhao +5 位作者 Ke Jiang Lei Sun Saisai Jia Qianqian Wu Guolong Lu Zhenning Liu 《Journal of Bionic Engineering》 SCIE EI CSCD 2022年第3期761-776,共16页
Designing bio-inspired flow fields holds great potential in improving the performance of Proton Exchange Membrane Fuel Cell(PEMFC).Two kinds of biological prototypes are widely used:plant prototype and animal prototyp... Designing bio-inspired flow fields holds great potential in improving the performance of Proton Exchange Membrane Fuel Cell(PEMFC).Two kinds of biological prototypes are widely used:plant prototype and animal prototype.It remains a question which one of these prototypes is more appropriate for the scenario of PEMFC.Here,a comparative study was conducted to compare bionic flow fields based on animal and plant prototypes.First,a Corn Leaf Vein Mathematical Model(CLMM)was established by extracting structural parameters from corn leaves of two growth stages.Then the obtained CLMM and well-known Murray’s law were employed to design bionic flow fields corresponding to the plant and animal prototypes,respectively,which have been subsequently compared by numerical investigations.The results demonstrate that the flow field guided by Murray’s law outperforms the counterpart based on the structural parameters of CLMM in terms of PEMFC net output power,mass transport,water management and pressure drop,suggesting that animal circulation system is more suitable to the bionic flow field design of PEMFC than plant leaf veins.The work may also offer valuable insights into the design of other flow fields related to electrochemical energy conversion. 展开更多
关键词 Proton exchange membrane fuel cell Flow field Biological prototypes corn leaf vein Murray’s law Comparative study
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Influence of late emerging weeds in glyphosate-resistant corn
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作者 Nader Soltani Robert E. Nurse +3 位作者 Eric Page Wesley J. Everman Christy L. Sprague Peter H. Sikkema 《Agricultural Sciences》 2013年第6期275-281,共7页
Fifteen field trials were conducted from 2009 to 2011 in Ontario, Canada and Michigan, USA to determine how long glyphosate-resistant corn needs to be kept weed-free after emergence to prevent yield loss. Data were se... Fifteen field trials were conducted from 2009 to 2011 in Ontario, Canada and Michigan, USA to determine how long glyphosate-resistant corn needs to be kept weed-free after emergence to prevent yield loss. Data were separated into two environments based on when yield loss first occurred after glyphosate application. In Environment 1 (4/15 sites) yield was not reduced when corn was kept weed-free until the 4-leaf stage. However, in Environment 2 (11/15 sites) there was no yield loss when corn was kept weed-free up to the 2-leaf stage. The most prominent weeds were velvetleaf, redroot pigweed, common ragweed, common lambsquarters and foxtail species. While later emerging weeds did not necessarily impact corn yield, weeds emerging after the 2- and 4-leaf corn stage likely produced seed that was added to the soil seed bank. Weeds emerging after 6-, 8-, and 10-leaf corn growth stages were small (low biomass/seedlings) and most likely did not reach reproductive maturity. Based on this research, corn must be maintained weed-free up to the 4-leaf stage. Any weeds emerging after that did not influence corn yield. 展开更多
关键词 Biomass Density GLYPHOSATE-RESISTANT corn leaf Stage Maize Plant HEIGHT Yield
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Spectral Characteristics Comparison of Two Summer Corn Cultivars under Different Fertilization Treatments
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作者 Luyan NIU Fengyun WANG +2 位作者 Jiabo SUN Jiye ZHENG Xiaoyan ZHANG 《Asian Agricultural Research》 2017年第11期58-61,共4页
This study is aimed to explore the spectrum reflection characteristics of summer corn leaves in different fertilization conditions.Using hyperspectral remote sensing technology,the experiments were conducted in fields... This study is aimed to explore the spectrum reflection characteristics of summer corn leaves in different fertilization conditions.Using hyperspectral remote sensing technology,the experiments were conducted in fields to collect the hyperspectral images of Denghai 605( DH605) and Ludan 981( LD981) in different growth period under five fertilization treatments,and then the reflectance of corn ear leaves was extracted by ENVI software. The five fertilization treatments included the control( CK) with no fertilization,40 kg and 30 kg of controlled-release fertilizer per 666. 67 m2 as base( K40 and K30),50 kg and 40 kg of compound fertilizer per 666. 67 m2 as base with 15 kg urea as seed fertilizer( F50 + N and F40 + N). The reflectance spectrums of the two corn cultivars under different fertilization treatments showed the approximately same changing trend with a reflection peak at green band( 550 nm) and a higher reflection platform at near infrared band( 760 nm-1050 nm). At the heading to filling stage,the reflectance of DH605 and LD981 was the highest under the CK,followed by the K30 and F40 + N respectively. At the filling to dough stage,the reflectance of DH605 and LD981 was the highest under the treatment K30 and F40 + N respectively,which was obviously higher than that of the other treatments. In the conditions of compound fertilizer,except the late filling stage,LD981 had little higher reflectance than DH605 at the other stages. In the conditions of controlled-release fertilizer and at dough to mature stage,LD981 had obviously higher reflectance compared to the other stages,and also higher than that of DH605; there was not obvious difference in reflectance LD981 and DH605 at the other stages. 展开更多
关键词 FERTILIZATION Summer corn Ear leaf Spectral reflectance Spectral characteristics
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36%烯肟·氟环唑SC防治玉米小斑病田间药效试验评价 被引量:1
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作者 刘振龙 王承香 +1 位作者 张伟星 任永俊 《农药》 北大核心 2025年第9期688-691,共4页
[目的]明确36%烯肟·氟环唑SC对玉米小斑病的防治效果。[方法]以17%唑醚·氟环唑SC和30%肟菌·戊唑醇SC为对照药剂,在山东省潍坊市寒亭区高里街道河南村玉米田进行田间小区试验。[结果]36%烯肟·氟环唑SC81、108 g a.i.... [目的]明确36%烯肟·氟环唑SC对玉米小斑病的防治效果。[方法]以17%唑醚·氟环唑SC和30%肟菌·戊唑醇SC为对照药剂,在山东省潍坊市寒亭区高里街道河南村玉米田进行田间小区试验。[结果]36%烯肟·氟环唑SC81、108 g a.i./hm^(2)处理对玉米小斑病效果优于对照药剂17%唑醚·氟环唑SC和30%肟菌·戊唑醇SC,54 g a.i./hm^(2)的36%烯肟·氟环唑SC处理对玉米小斑病效果与对照药剂无显著性差异。[结论]使用36%烯肟·氟环唑SC54~108 g a.i./hm^(2)在玉米小斑病发病前或发病初期茎叶均匀喷雾,间隔7~10 d再施用1次,可有效防治玉米小斑病。 展开更多
关键词 36%烯肟·氟环唑SC 玉米小斑病 田间试验 防治效果
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Corn Growth Response to Elevated CO<sub>2</sub>Varies with the Amount of Nitrogen Applied
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作者 James A. Bunce 《American Journal of Plant Sciences》 2014年第3期306-312,共7页
Corn, with C4 photosynthetic metabolism, often has no photosynthetic or yield response to elevated carbon dioxide concentrations. In C3 species, the yield stimulation at elevated carbon dioxide concentrations often de... Corn, with C4 photosynthetic metabolism, often has no photosynthetic or yield response to elevated carbon dioxide concentrations. In C3 species, the yield stimulation at elevated carbon dioxide concentrations often decreases with nitrogen limitation. I tested whether such a nitrogen interaction occurred in corn, by growing sweet corn in field plots in open top chambers at ambient and elevated (ambient + 180 mmol·mol-1) carbon dioxide concentrations for four seasons, with six nitrogen application rates, ranging from half to twice the locally recommended rate. At the recommended rate of nitrogen application, no carbon dioxide effect on production occurred. However, both ear and leaf plus stem biomass were lower for the elevated carbon dioxide treatment than for the ambient treatment at less than the recommended rate of nitrogen application, and higher at the highest rates of nitrogen application. There were no significant responses of mid-day leaf gas exchange rates to nitrogen application rate for either carbon dioxide treatment, and elevated carbon dioxide did not significantly increase leaf carbon dioxide assimilation rates at any nitrogen level. Leaf area index during vegetative growth increased more with nitrogen application rate at elevated than at ambient carbon dioxide. It is concluded that elevated carbon dioxide increased the responsiveness of corn growth to nitrogen application by increasing the response of leaf area to nitrogen application rate, and that elevated carbon dioxide increased the amount of nitrogen required to achieve maximum yields. 展开更多
关键词 corn Yield Nitrogen Elevated CO2 PHOTOSYNTHESIS STOMATAL CONDUCTANCE leaf Area Index
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农田环境中玉米叶片病害精准识别算法DBG-YOLO 被引量:1
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作者 麻海志 刘拥民 +1 位作者 徐卓农 邓伟豪 《湖南农业大学学报(自然科学版)》 北大核心 2025年第4期107-116,共10页
为有效地预防玉米病害,精准地监测玉米的生长状态,本研究提出了玉米叶片病害识别算法DBG-YOLO。该算法以YOLOv8框架为基础,首先,在骨干网络中使用动态卷积(DynamicConv)替换YOLOv8的骨干C2f模块卷积,在不增加网络深度或宽度的情况下,大... 为有效地预防玉米病害,精准地监测玉米的生长状态,本研究提出了玉米叶片病害识别算法DBG-YOLO。该算法以YOLOv8框架为基础,首先,在骨干网络中使用动态卷积(DynamicConv)替换YOLOv8的骨干C2f模块卷积,在不增加网络深度或宽度的情况下,大大增强算法的表达能力;其次,在颈部网络中采用全局和局部信息自注意力机制(GLSA)用于捕捉输入特征的全局上下文信息,同时保留局部细节特征;然后,在颈部网络的特征融合过程中引入双向特征金字塔网络(BiFPN)模块,以减少算法的参数量,提高算法对多尺度目标的感知能力,从而更好地检测玉米叶片病害;最后,为了加快收敛速度,在损失函数上引入指数移动平均数(EMA)来动态调整SlideLoss中的IoU阈值,以增强其适应能力,由此改善算法的鲁棒性,同时减少误检和漏检,进一步提升整体检测精度并加快算法的收敛。结果表明:相较于YOLOv8n,DBG-YOLO算法的精确度、m AP@50分别提高了5.8个百分点和6.6个百分点,同时算法的浮点计算数和帧率分别降低了11.5%和43.5%。综上所述,本研究提出的算法全面提高了玉米叶片病害检测的准确性,具备较高的鲁棒性,可为玉米叶片病害检测模型在移动端检测设备的部署和应用提供参考。 展开更多
关键词 玉米叶片病害 YOLOv8 动态卷积 深度学习 目标检测
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贝莱斯芽孢杆菌BV-3的鉴定及其对玉米小斑病的防效
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作者 吴梦菁 黄鹏 +5 位作者 张杰 郑璐平 余德亿 林胜 吴祖建 姚锦爱 《中国生物防治学报》 北大核心 2025年第4期887-894,共8页
玉蜀黍平脐蠕孢Bipolaris maydis引起的玉米小斑病近年来在福建玉米种植区蔓延为害。为获得对该病害具有良好防效的生防菌株,本研究采用平板稀释法从玉米根际土壤分离拮抗细菌,采用平板对峙法测定不同分离菌株的抑菌活性,筛选拮抗效果... 玉蜀黍平脐蠕孢Bipolaris maydis引起的玉米小斑病近年来在福建玉米种植区蔓延为害。为获得对该病害具有良好防效的生防菌株,本研究采用平板稀释法从玉米根际土壤分离拮抗细菌,采用平板对峙法测定不同分离菌株的抑菌活性,筛选拮抗效果良好的菌株进行种类鉴定及抑菌谱和盆栽防效测定。结果表明,从土壤分离获得25株单孢菌株,初筛出3株对玉蜀黍平脐蠕孢具有明显抑制作用的菌株,其中菌株BV-3的抑制带宽最大,达18.04 mm;经形态学、生理生化特征和16S rDNA基因系统发育分析,确认菌株BV-3为贝莱斯芽孢杆菌Bacillus velezensis。该菌株抑菌谱广,对玉米叶斑病5种病原真菌均有良好的抑制作用。盆栽试验结果表明,菌株BV-3发酵液对抗病品种‘新中玉801’和感病品种‘闽甜986’的玉米小斑病7~14 d防效分别达73.72%~92.00%和68.27%~84.62%。可见,贝莱斯芽孢杆菌BV-3可有效防治玉米小斑病,具有良好的生防应用前景。 展开更多
关键词 玉米小斑病 贝莱斯芽孢杆菌 筛选鉴定 生物防治
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北方春玉米区玉米大斑病经济阈值评估
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作者 王雪 孟玲敏 +5 位作者 贾娇 白雪 王义生 张伟 吴宏斌 苏前富 《植物保护》 北大核心 2025年第4期388-392,共5页
为了摸清玉米大斑病的最佳防治时间、防治次数,以达到最少投入和最佳的防治效果,本研究通过设置大斑病不同病级梯度、不同防治次数的药效试验,从而确定大斑病的经济阈值。结果表明:大斑病病情指数(X)与产量损失率(Y)的回归方程为Y=0.010... 为了摸清玉米大斑病的最佳防治时间、防治次数,以达到最少投入和最佳的防治效果,本研究通过设置大斑病不同病级梯度、不同防治次数的药效试验,从而确定大斑病的经济阈值。结果表明:大斑病病情指数(X)与产量损失率(Y)的回归方程为Y=0.0103 X^(1.732 6),以40%丁香·戊唑醇悬浮剂与25%嘧菌酯悬浮剂混配剂对大斑病进行防治,与施药1次相比,施药2次增加的净利润仅为147.89元/hm^(2),从成本收益、农药减施角度考虑,确定大斑病药剂防治以1次为宜,以此为测算依据,结合公主岭地区当地产量、价格、药剂、施药成本等因素,确定大斑病经济损失允许水平(economic injury level,EIL)为32.20;建立防治初期病情指数(x)与防治后病情指数(y)的回归方程y=19.681+3.141 x,确定大斑病经济阈值(economic threshold,ET)为3.99。 展开更多
关键词 玉米大斑病 经济阈值 经济允许损失水平 北方春玉米区
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基于卷积神经网络的玉米叶片病虫害识别研究 被引量:2
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作者 刘沛钦 王远 王玲 《智慧农业导刊》 2025年第3期34-37,共4页
玉米是中国重要的粮食、饲料和工业原料作物,但病虫害会严重威胁玉米的品质和产量,需开展玉米病虫害识别研究。该文主要基于ResNet18卷积神经网络,使用PlantVillage数据集中玉米叶片数据,针对玉米常见的普通锈病、灰斑病、大斑病和健康... 玉米是中国重要的粮食、饲料和工业原料作物,但病虫害会严重威胁玉米的品质和产量,需开展玉米病虫害识别研究。该文主要基于ResNet18卷积神经网络,使用PlantVillage数据集中玉米叶片数据,针对玉米常见的普通锈病、灰斑病、大斑病和健康叶片开展玉米叶片病虫害图像识别研究。研究结果表明,玉米叶片病虫害识别模型准确率为98.05%,普通锈病、灰斑病、大斑病和健康叶片的召回率分别为100%、92.97%、99.22%和100%,针对4种类型叶片的精准率分别为100%、100%、100%和92.75%,F1分数为98.12%。模型能够较好识别玉米叶片病虫害类型,对于玉米病虫害的早期检测和防治具有重要意义。 展开更多
关键词 卷积神经网络 玉米叶片 病虫害类型 图像识别 检测和防治
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