• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    A

    Acharya N. G. Ranga Agricultural University

    院校EST. 1964angrau.ac.in
    2,431论文总数
    4.2万引用总数

    Acharya N. G. Ranga Agricultural University (ANGRAU) is a public agricultural university with its headquarters at the village Lam, Guntur district, Andhra Pradesh, India. G.

    论文量&引用量时间轴

    机构学者

    排序
    Azeem Khalid
    Azeem Khalid
    University of Agriculture Institute of Soil and Environmental Sciences
    论文:50引用:0H-index:0
    Tariq Mahmood
    Tariq Mahmood
    Department of Computer Science, School of Mathematics and Computer Science, Institute of Business Administration Karachi;Big Data Bolt
    论文:40引用:0H-index:0
    Lakshminaryana Vemireddy
    Lakshminaryana Vemireddy
    Laboratory of Molecular Genetics;Centre for DNA Fingerprinting and Diagnostics;Laboratory of Molecular Genetics|Centre for DNA Fingerprinting and Diagnostics
    论文:33引用:0H-index:0
    Naveed Iqbal Raja
    Naveed Iqbal Raja
    Department of Botany, PMAS-Arid Agriculture University
    论文:31引用:0H-index:0
    Tollamadugu N V K V Prasad
    Tollamadugu N V K V Prasad
    Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural Univ
    论文:29引用:0H-index:0
    Noshin Ilyas
    Noshin Ilyas
    Department of Botany, Faculty of Sciences, Pir Mehr Ali Shah Arid Agriculture University
    论文:28引用:0H-index:0
    Usman Shahzad
    Usman Shahzad
    PMAS Arid Agr Univ, Dept Math & Stat, Rawalpindi, Pakistan
    论文:23引用:0H-index:0
    Muhammad Sajid Nadeem
    Muhammad Sajid Nadeem
    PMAS - Arid Agriculture University
    论文:23引用:0H-index:0
    Muhammad Hanif
    Muhammad Hanif
    Department of Statistics, National College of Business Administration and Economics
    论文:21引用:0H-index:0

    论文(2431)

    年份
    起
    –
    止
    排序
    1Multilocation Screening and Identification of Stable Interspecific Recombinant Inbred Lines ( IRILs ) of Sunflower ( Helianthus Annuus ) for Reaction to Powdery Mildew ( Golovinomyces Latisporus )
    Mulpuri Sujatha, Hari Prakash Meena, Mangesh Y. Dudhe, Krishnan Sakthivel, Cheruvalanda Poovaiah Manjula,Sankarasubramanian Harish,Lingan Rajendran, Poornima, Kothakota Venkataramanamma

    ABSTRACT Powdery mildew is a serious disease of sunflower in tropical and subtropical regions. A total of 221 genotypes—comprising Cytoplasmic Male Sterility lines, restorers, inbreds and stable interspecific recombinant inbred lines (IRILs)—were screened for field resistance to the disease. The IRILs, developed from a cross between the susceptible prebred line PS‐2023 and a resistant accession (PRA‐1823) of diploid annual species Helianthus praecox , displayed distinct and contrasting reactions to powdery mildew during the initial field screenings. Phenotypically superior susceptible and resistant IRILs, which also possessed multiple desirable agronomic traits, were further evaluated with artificial inoculation in greenhouse and multilocation field trials, along with established resistant and susceptible checks. Results indicated that the line PMS‐27 (PM‐1), previously classified as susceptible, consistently exhibited susceptibility across all locations. The percent disease index (PDI) of PMS‐27 ranged from 14.3% to 85.6% within 15 days post‐inoculation (dpi) with a conidial suspension, and disease progression continued, reaching a score of 9 by 45 dpi. In contrast, two resistant IRILs (PMR‐16 and PMR‐27) initially recorded low average PDIs of 4.8% and 5.3%, respectively, with no disease development further; these lines were scored as 0/1 at 45 dpi across all test locations. Previous studies from the authors' laboratory confirmed the presence of a dominant resistance gene in H. praecox and established the role of MLO (Mildew Locus O) genes in conferring susceptibility. The resistant and susceptible IRILs identified in this study therefore offer significant potential for advancing research on host–pathogen interactions and for developing durable powdery mildew resistance in sunflower.

    2026Plant Pathology(2026)
    引用
    AI阅读
    加入学术空间
    2Assessment of Genetic Divergence in Sesame (sesamum Indicum L.) Genotypes Using Mahalanobis D2 Statistics for Identification of Diverse Parents
    Rajan Isha Pearl, Bharathi Duddu, Haritha Tirunagari, Lakshminarayana vemi Reddy, Latha Putta, Lal Ahamed Mohmmad, Vasavi Janala

    Sesame is grown across two to three seasons in India, and productivity gains depend on broadening the crop’s narrow genetic base by identifying divergent parental lines. This study assessed genetic divergence among 200 sesame genotypes for 16 morphological and yield-related traits evaluated during Rabi 2024 (E1) and Kharif 2025 (E2), together with pooled data, at the Regional Agricultural Research Station, Tirupati. The experiment followed an alpha lattice design with two replications per season, and divergence was estimated using Mahalanobis D2 statistics with genotypes grouped by Tocher’s method. The 200 genotypes fell into 15 clusters in E1, 17 in E2, and 12 under pooled analysis. Inter-cluster distance exceeded intra-cluster distance in every case, confirming clear separation among groups. The widest divergence occurred between clusters XII and XV in E1, clusters VII and XIV in E2, and clusters IX and XI under pooled analysis. Thousand-seed weight, number of seeds per capsule, and oil content accounted for the largest share of total genetic divergence across environments. Twenty-nine genotypes retained consistent cluster membership across both seasons, and genotypes G112 and G158 recurred repeatedly among the most divergent clusters, marking them as strong candidate parents. Selecting parents on the basis of divergence that persisted across seasons proved more dependable than selection from a single season or from pooled means alone. These results point to specific, genetically distant genotype combinations that breeders can exploit for heterosis and transgressive segregation, and identify thousand-seed weight and seed number per capsule as efficient, low-cost traits for screening divergent germplasm in future sesame improvement programmes.

    2026Genetic Resources and Crop Evolution(2026)
    引用
    AI阅读
    加入学术空间
    3Management of Lesser Grain Borer, Rhyzopertha Dominica Through Nano Bioformulations in Stored Rice
    K V Anu, M Rajasri, G S Panduranga, K S Rani, T N V K V Prasad

    Nanoencapsulation of botanical insecticides has emerged as a promising strategy to improve the efficacy and stability of plant-derived compounds in stored-product pest management. The present study aimed to develop and evaluate nano silica-encapsulated formulations of neem (Azadirachta indica A. Juss.) oil, acorus (Acorus calamus L.) oil and the chemical insecticide imidacloprid for the management of Rhyzopertha dominica, a major pest of stored rice. Laboratory bioassays were conducted using contact toxicity and diet incorporation methods, followed by storage studies to assess long-term protective efficacy. The nano formulations were evaluated at different concentrations and adult mortality was determined using corrected mortality analysis. In contact toxicity assays, LC₅₀ values were 0.16 % for nano neem and nano acorus oils and 0.02 % for nano imidacloprid, compared with 0.17 %, 0.17 % and 0.03 %, respectively, for their conventional formulations. In the diet incorporation method, LC₅₀ values for nano neem, nano acorus and nano imidacloprid were 0.25 %, 0.26 % and 0.10 %, respectively, whereas conventional formulations recorded higher LC₅₀ values of 0.35 %, 0.47 % and 0.35 %. Storage studies revealed that nano silica-based formulations effectively protected rice seeds from insect infestation for up to five months without seed damage or weight loss. Furthermore, treated seeds maintained high germination percentage and seedling vigour throughout the storage period. The findings demonstrate that nanoencapsulation enhances the insecticidal efficiency and persistence of botanical oils while maintaining seed quality, highlighting its potential as a sustainable approach for protecting stored grains.

    2026Plant Science Today(2026)
    引用
    AI阅读
    加入学术空间
    4Effect of Nitrogen and Potassium on Production Potential of Quinoa(chenopodium Quinoa) in India
    S MOBEENA, N THAVAPRAKAASH, M DJANAGUIRAMAN, S GEETHANJALI, P GEETHA

    A field study was carried out during late rainy (kharif) season of 2022 and winter (rabi) season of 2022–23 at the Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu to explore the best nutrient management strategies for enhancing quinoa (Chenopodium quinoa Willd.) production. The experimental field was arranged in a randomised complete block design (RCBD) with nine treatments [T1, 75:0 kg N: K2O/ha; T2, 100:0 kg N: K2O/ha; T3, 125:0 kg N: K2O/ha; T4, 150:0 kg N: K2O/ha; T5, 75:50 kg N: K2O/ha; T6, 100:50 kg N: K2O/ha; T7, 125:50 kg N: K2O/ ha; T8, 150:50 kg N: K2O/ha and T9, Without N and K2O fertilisers (Control)], each replicated thrice. The results revealed that the application of 150:30:50 kg N: P2O5: K2O/ha (T8) led to superior growth parameters (plant height, leaf area index, dry matter production and number of branches/plant), yield attributes (number of panicle/plant, panicle length, panicle conversion efficiency, number of grains/panicle and test weight), yield (grain and stalk), and economic parameters (gross returns, net returns and benefit: cost ratio) for quinoa, outperforming other treatments except for 150:30:0 kg N: P2O5: K2O/ha (T4) during both seasons. The lowest values across all parameters were recorded for the control (T9). It can be inferred from the investigation that the application of 150:30:50 or 150:30:0 kg N: P2O5: K2O/ha significantly enhanced quinoa's growth, yield and economic parameters compared to lower nutrient doses in India.

    2026The Indian Journal of Agricultural Sciences(2026)
    引用
    AI阅读
    加入学术空间
    5First Report of Stem Canker Disease of Vigna Mungo Caused by Choanephora Infundibulifera in India
    Janaki Prasad Ambatipudi,P. Kishore Varma, K. Lahari, N. Kamakshi, A. Bavana Keerthi
    2026Journal of Plant Pathology(2026)
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 2431 篇论文

    合作机构(100)

    费萨拉巴德农业大学合作论文 147
    伊斯兰堡 COMSATS 大学合作论文 71
    沙特国王大学合作论文 61
    奎德阿扎姆大学合作论文 50
    Bahauddin Zakariya University合作论文 42
    巴哈瓦尔布尔伊斯兰大学合作论文 32
    University of Sargodha合作论文 30
    泰米尔纳德农业大学合作论文 24
    阿卜杜勒阿齐兹国王大学合作论文 23
    旁遮普大学合作论文 22

    机构统计