National Academy Science Letters最新文献_第2页

Morpho-Phenological Characterization and Yield Attributes of Different Primary Mango (Mangifera indica L.) Genotypes Under Bihar Condition 不同原生芒果的形态物候特征及产量性状比哈尔邦条件下的基因型

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-29 DOI: 10.1007/s40009-024-01477-2

Ankur Kumar Rai, Samik Sengupta, Ravindra Kumar, Manoj Kundu, Sanjay Sahay, Suman Kumari, Roopendra Kumar, Gautam Pratap Singh

{"title":"Morpho-Phenological Characterization and Yield Attributes of Different Primary Mango (Mangifera indica L.) Genotypes Under Bihar Condition","authors":"Ankur Kumar Rai, Samik Sengupta, Ravindra Kumar, Manoj Kundu, Sanjay Sahay, Suman Kumari, Roopendra Kumar, Gautam Pratap Singh","doi":"10.1007/s40009-024-01477-2","DOIUrl":"10.1007/s40009-024-01477-2","url":null,"abstract":"<div>Mango (Mangifera indica) is one of the most important tropical fruit crops cultivated across the world, including India. Morphological and phenotypic variations among the existing cultivars are essential parameters for assessing the genetic diversity of any crop for their further use in any systematic breeding programme. In this experiment, twenty five mango genotypes were assessed for different morpho-phenological attributes. Maximum male flower (95.51%) was recorded in G-37 genotype while maximum hermaphrodite flower (17.38%) with highest fruit retention (50.00%) was observed in G-03 genotype. However, highest sex ratio (31.83) was calculated in G-22 followed by G-11 (22.08) genotypes. The highest fruit set per panicle (8.00) was registered in G-18 followed by G-22 and G-12 genotypes. Consequently, maximum number of fruits per plant (140.00) was recorded in G-18 followed by G-22 (125.00). While maximum peel, pulp and stone weight were noticed in G-44 with highest pulp: stone ratio (7.27) in G-12 genotypes. Accordingly, the results of the present investigation recommends that G-18 and G-22 are the best suited genotypes for their utilization in the future mango breeding programme for improving the yield of the hybrids under the environmental conditions of Bihar, India.</div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 2","pages":"161 - 164"},"PeriodicalIF":1.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Typification of Two Names of Himalayan taxa Collected from Darjeeling-Sikkim Himalayas of India 印度大吉岭-锡金喜马拉雅地区两个喜马拉雅分类群名称的分类

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-23 DOI: 10.1007/s40009-024-01495-0

Vinay Ranjan, Anant Kumar, Gopal Krishna

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On the Occurrence of Comastoma urnigera (E.Aitken & D.G.Long) Holub (Gentianaceae) in Western Himalaya, India 印度喜马拉雅西部龙胆科Comastoma urnigera (E.Aitken & D.G.Long) Holub的出现

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-15 DOI: 10.1007/s40009-024-01448-7

Sunit Singh, J. P. Mehta, Anant Kumar

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Accounting Variation in Abundance of Coilia dussumieri due to Environmental Covariates while Estimating Maximum Sustainable Yield (MSY) 在估计最大可持续产量（MSY）时，考虑环境协变量对杜氏稻丰度的影响

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01445-w

Rajan Kumar, Shikha Rahangdale, Vinaya Kumar Vase, R. Ratheesh Kumar

{"title":"Accounting Variation in Abundance of Coilia dussumieri due to Environmental Covariates while Estimating Maximum Sustainable Yield (MSY)","authors":"Rajan Kumar, Shikha Rahangdale, Vinaya Kumar Vase, R. Ratheesh Kumar","doi":"10.1007/s40009-024-01445-w","DOIUrl":"10.1007/s40009-024-01445-w","url":null,"abstract":"<div>Golden anchovy, Coilia dussumieri is a unique fishery with characteristic discrete distribution. The distribution and its abundance are known to be linked with environmental variables. Three of the five selected environmental variables were found to significantly correlate with its abundance along the Gujarat coast. Sea Surface Height (SSH) was the most significantly correlated (r = -0.63; p < 0.05) environmental variable with the Catch Per Unit Effort (CPUE) of the golden anchovies. The SSH was used as a covariate in the surplus production model to arrive at maximum sustainable yield (MSY). The estimated MSY was much less than what is estimated using a conventional model without environmental variables. Further, the incorporation of environmental covariates improves the model fit significantly. Considering the importance of environmental variables, especially in the climate change scenario, a more conservative estimates from the present study would be adopted for formulating its harvest strategies.</div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 1","pages":"13 - 16"},"PeriodicalIF":1.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Effect of Temperature and Duration of Storage on Seed Germination in Litchi (Litchi chinensis Sonn.) 温度和储藏时间对荔枝（Litchi chinensis Sonn.）种子发芽的影响

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01468-3

Narayan Lal, Abhay Kumar, ES Marboh, AK Gupta, SD Pandey, Vishal Nath

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Eco-friendly High Performance Thin Layer Chromatography Technique for Quantification of Kojic Acid in Bulk and Formulations 生态友好型高效薄层色谱法定量原料药和制剂中的曲酸

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01453-w

Esha Jain, Amruta Balekundri

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Comparative Study of Volatile Components in Zingiber Officinale Rosc. From Different Locations of Kumaun Region of Uttarakhand with GC-MS 姜中挥发性成分的比较研究。来自北阿坎德邦库曼地区不同地点的气相色谱-质谱分析

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01450-z

Ajay Kumar

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A Multi-Factor Monitoring Fault Tolerance Model Based on a CNN Algorithm for Data Recovery 基于CNN算法的数据恢复多因素监测容错模型

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01446-9

Sonika A. Chorey, Neeraj Sahu

{"title":"A Multi-Factor Monitoring Fault Tolerance Model Based on a CNN Algorithm for Data Recovery","authors":"Sonika A. Chorey, Neeraj Sahu","doi":"10.1007/s40009-024-01446-9","DOIUrl":"10.1007/s40009-024-01446-9","url":null,"abstract":"<div>A novel CNN-based Data Restoration System is proposed to address the challenges of data recovery in various applications. Data loss or corruption can result from factors like hardware failures, file system errors, or accidental deletion. Traditional data recovery methods often struggle with complex data structures or large-scale datasets. To overcome these challenges, convolution neural networks (CNNs) are leveraged for data restoration. The system utilizes a deep learning framework that takes advantage of CNNs’ spatial understanding to recover lost or corrupted data. By training the CNN on a large dataset of intact data samples, it learns to identify essential patterns and features crucial for successful recovery. The system employs a multi-stage approach. Initially, the CNN model is trained with labeled examples of intact and corrupted data, allowing the network to learn the underlying relationships between input data and the corresponding restored output. During the restoration phase, the trained CNN is applied to corrupted or lost data, extracting relevant features and using its learned knowledge to estimate the original data. By utilizing spatial information from the CNN’s convolutional layers, the system effectively restores data with high accuracy and efficiency. Experimental results on diverse datasets demonstrate that this CNN-based Data Restoration System outperforms traditional methods in both recovery accuracy and speed, highlighting its potential for real-world applications.</div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 2","pages":"205 - 208"},"PeriodicalIF":1.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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First Report of Phytophthora Capsici Causing Phytophthora Blight on Bell Pepper (Capsicum annuum L.) from Haryana, India 引起印度哈里亚纳邦甜椒疫霉疫病的辣椒疫霉首次报道

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01459-4

Rajeev Kumar, Seweta Srivastava, Menakshi Rana, Nowsheen Shameem, Javid A. Parray, Rajeshwari Negi, Ajar Nath Yadav

{"title":"First Report of Phytophthora Capsici Causing Phytophthora Blight on Bell Pepper (Capsicum annuum L.) from Haryana, India","authors":"Rajeev Kumar, Seweta Srivastava, Menakshi Rana, Nowsheen Shameem, Javid A. Parray, Rajeshwari Negi, Ajar Nath Yadav","doi":"10.1007/s40009-024-01459-4","DOIUrl":"10.1007/s40009-024-01459-4","url":null,"abstract":"<div>Phytophthora blight, caused by Phytophthora capsici, is a devastating disease threatening the bell pepper industry. This pathogen affects all parts of plants including causing rot, blight, significant harm and losses the Capsicum species. In the present study, symptoms of blight and damping off were noted during two years of field surveys, February–November 2021–2022. Seventy-two isolates were obtained from rhizosphere soil samples of the infected bell pepper (Capsicum annuum) plants. Phytophthora capsici Leonian was identified on the basis of morphological and cultural characteristics and culture being deposited in the Indian Type Culture Collection (ITCC) in New Delhi. The 18S rRNA ITS region was undertaken to confirm species identity. A phylogenetic tree confirmed that the obtained ITS region sequences were identical to Phytophthora capsici isolates. This is the first report of Phytophthora blight on bell peppers from the Haryana region of India.</div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 2","pages":"153 - 156"},"PeriodicalIF":1.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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A Scientific Note on Grote Tussock Moth, Calliteara grotei (Moore) (Lepidoptera: Erebidae) Infestation on Sal (Shorea robusta Roth) from Bodoland Territorial Region, Assam, India 印度阿萨姆邦博德兰地区石窟斑蛾（caliteara grotei (Moore)）（鳞翅目：石窟斑蛾科）侵染萨尔（Shorea robusta Roth）的科学记录

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-09-28 DOI: 10.1007/s40009-024-01432-1

Prasun Karmakar, Rajib Kumar Borah, Bijumoni Kalita Dutta, Akshay Mishra, Arabinda Deka, Gurpreet Kaur Bhamra, Nimisha Baruah

{"title":"A Scientific Note on Grote Tussock Moth, Calliteara grotei (Moore) (Lepidoptera: Erebidae) Infestation on Sal (Shorea robusta Roth) from Bodoland Territorial Region, Assam, India","authors":"Prasun Karmakar, Rajib Kumar Borah, Bijumoni Kalita Dutta, Akshay Mishra, Arabinda Deka, Gurpreet Kaur Bhamra, Nimisha Baruah","doi":"10.1007/s40009-024-01432-1","DOIUrl":"10.1007/s40009-024-01432-1","url":null,"abstract":"<div>This short communication is the first scientific note on the Grote Tussock Moth, Calliteara grotei (Moore, 1859) (Lepidoptera: Erebidae) infestation on Sal (Shorea robusta Roth) from Bodoland Territorial Region, Assam, India. Calliteara grotei infested 72.75, 67.80, 53.23, 87.56, 82.33 and 63.75 per cent of S. robusta trees in Magurmari Protected Reserve Forests, Elashijhar Reserve Forest, Choraikhola area of Nayekgaon PRF, Paroura and Koraitola of Paroura Reserve Forest and Harinaguri-I of Kokrajhar District, respectively. Calliteara grotei infestations defoliated the infested S. robusta trees, leaving just the central midribs and the bare rachis. The larval period varied from 35 to 40 days, with five larval instars. The early instar larva has orangish head and thorax with distinct blackish bands on the dorsum of the abdomen. The final instar larvae gradually turned yellowish with a prominent black patch between the dorsum of 1st and 2nd abdominal segments. The larval body is covered with long yellowish hairs and thick tuft of hairs projecting from the dorsum of 1-4th and 8th abdominal segments.</div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 1","pages":"95 - 98"},"PeriodicalIF":1.2,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0