Indian Journal of Agricultural Sciences最新文献

{"title":"Effect of integrated nutrient management on growth and quality traits of lettuce (Lactuca sativa)","authors":"KANGKANA NATH, IRA SARMA, SAILEN GOGOI, NILAY BORAH, PRAKASH KALITA, REECHA T DAS","doi":"10.56093/ijas.v93i8.136136","DOIUrl":"https://doi.org/10.56093/ijas.v93i8.136136","url":null,"abstract":"A field experiment was conducted at the research farm of Assam Agricultural University, Jorhat, Assam during winter (rabi) seasons of 2019–20 and 2020–21 to study the effect of integrated nutrient management on growth and quality of lettuce (Lactuca sativa L.). The experiment was laid out in a randomized block design (RBD) with eight treatments and three replications. The treatment combinations were T1, Control; T2, 40:20:40 NPK kg/ha; T3, 40:20:40 NPK kg/ha + FYM 2 tonnes/ha; T4, 40:20:40 NPK kg/ha + FYM 2 tonnes/ha + PSB; T5, FYM 3 tonnes/ha + PSB; T6, 40:20:40 NPK kg/ha +VC 1 tonnes/ha; T7, 40:20:40 NPK kg/ha + VC 1 tonnes/ha + PSB and; T8, VC 2 tonnes/ha + PSB. Observations on the growth parameters were taken at 30 DAP, 45 DAP and at harvest. Among the treatments, T7 recorded the highest yield (27.5 tonnes/ha), net income (192703.00) and other quality parameters. However, the benefit-cost ratio was found maximum (2.6) in the treatment T4 due to lesser cost of FYM as compared to vermicompost used in the treatment T7. Therefore, the combined use of NPK, FYM and PSB (T4) may be recommended for economic as well as environment friendly production of lettuce.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136119139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensuring productivity advantages through Cluster Frontline Demonstrations (CFLD)-pulses: Nationwide experiences","authors":"ATAR SINGH, A K SINGH, S K DUBEY, V P CHAHAL, RANDHIR SINGH, ANUPAM MISHRA, RAJBIR SINGH, B C DEKA, S K SINGH, S S SINGH, LAKHAN SINGH, A K TRIPATHI, Y G PRASAD, ANJANI KUMAR, M J CHANDRA GOWDA, SADHNA PANDEY, RAJEEV SINGH","doi":"10.56093/ijas.v93i5.103296","DOIUrl":"https://doi.org/10.56093/ijas.v93i5.103296","url":null,"abstract":"The present study is the analysis of large scale data (31949 ha area and 79873 farmers) generated through the CFLD on pulses across the major pulses growing states under the ICAR-ATARIs of Kanpur (Uttar Pradesh), Jodhpur (Rajasthan), Pune (Maharashtra), Patna (Bihar), Jabalpur (Madhya Pradesh), Kolkata (West Bengal), Guwahati (Assam), Shillong (Meghalaya), Hyderabad (Andhra Pradesh), Bengaluru (Karnataka) and Patna (Bihar). The pulse crops included in this analysis were from all three growing seasons: kharif (pigeonpea-5556 ha, blackgram-6067 ha, and greengram-2689 ha), rabi (chickpea-8376 ha, lentil-3747 ha and field pea-1890 ha), and summer (greengram-3624 ha). The average performance data of CFLD were obtained for the above states for all the crops representing all three growing seasons during the cropping seasons of 2016–17 and 2017–18. Thus, CFLD data were analyzed fromacross minimum of 21 states (greengram) and maximum of 24 states (blackgram). The major variables analyzed were average yield obtained from the check plots and demonstrations plots. These yields were computed for yield advantages and also compared with the reported district level, state level, national level yields and the potential yields of the respective crops in the given states (data procured from secondary sources for the year 2017–18). Accordingly, the yield advantages (absolute as well as per cent) at various level were analyzed and their degree of variation was computed for all the crops across the seasons. The paper brings out the results of above analyses in objective manner.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135558929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agro-morphological characterization of Bay Islands pigeonpea (Cajanus cajan) landraces and advanced lines using under Islands conditions","authors":"S. D. Roy","doi":"10.4172/2168-9881.S1.011","DOIUrl":"https://doi.org/10.4172/2168-9881.S1.011","url":null,"abstract":"Twenty four varieties of coriander (Coriandrum sativum L.), developed by different centres which located at diverse eco-geographical origins of the country, were undertaken in present investigations to determine divergence for seed yield and its 10 component traits. Tocher method of hierarchical cluster analysis was applied to group the varieties. Varieties were grouped into four clusters. All varieties were grouped in four clusters that showed narrow genetics base of Indian varieties. Intra-cluster distance was highest in cluster III followed by cluster II, IV and I. The maximum inter-cluster distance was between clusters III and I are 17.91 and 3.86 respectively. The varieties in cluster I were Hisar Sugandh, Hisar Anand, RCr-20, RCr-435, RCr-436, RCr-446, RCr-684, Swathi, Sadhana, Sindhu, Sudha, Rajendra Swati, GCr-1, GCr-2, CO-1, CO-2, CO-3, CO-4. The variety falling in cluster II is JD-1.The varieties falling in cluster III were NRCSS ACr-1, RCr-41and Azad Dhania-1. The varieties falling in cluster IV were Hisar Surubhi and Pant Haritma. Among the 10 characters studied for genetic divergence, days to 50% flowering contributed the maximum accounting for 49.64% of total divergence, followed by test weight (17.03%).","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2014-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70874175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biotechnology and Crop Improvement","authors":"P. Kumar, T. Mohapatra, T. Sharma, R. Bhattacharya, P. Dash, N. Gupta, A. Solanke","doi":"10.1201/9781003239932","DOIUrl":"https://doi.org/10.1201/9781003239932","url":null,"abstract":"Conventional plant breeding is the backbone of agricultural development. It has very significantly contributed in the past to genetic enhancement of crops, particularly for breeding high-yielding crop cultivars. The quantum jump in agricultural productivity which was achieved during late sixties and early seventies needs further enhancement to ensure food and nutritional security of the growing population. Advances in modern biology, especially biotechnology, offer many advantages over traditional techniques of plant breeding. The applications of biotechnology in crop improvement can be broadly grouped into three categories, viz precise isolation and deployment of genes, irrespective of source and target genome, marker-assisted selections and large throughput characterization of genome, transcriptome, proteome or metabolome. The most compelling advantage of plant biotechnology is the ability to transfer foreign genes to confer novel traits. An entire array of traits viz. insect pest and pathogen resistance, abiotic stress tolerance, herbicide tolerance, augmentation of nutritional qualities etc. have been successfully achieved by plant transformation. Another significant application of biotechnology in crop improvement has been ‘marker-assisted selention (MAS). Development and integration of DNA-based molecular markers in the selection process has empowered the breeder to identify desired genotype without any interference of environmental effect of tissue specificity of expression. High throughout genomics emerged as a promising area in crop biotechnology programmes. This is because most of the commercially relevant plant traits are interaction of large number of genes, their positions on chromosomes and promoters controlling them. While structural genomics deals with sequence analysis of total genetic information in an organism, efforts in functional genomics are directed to unravel and understand the mechanism by which this information is used by an organism. Systematic study of complete repertoire of metabolites/chemicals of any organism has given birth to a new area of research ‘metabolomics’. Integration of genomics and proteomics with metabolomics will enrich our understanding to gene-function relationship that can be utilized in achieving crop improvement towards higher productivity.","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"8 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65954871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Poisonous plants of India.","authors":"R. Chopra, R. Badhwar, S. Ghosh","doi":"10.2307/4120612","DOIUrl":"https://doi.org/10.2307/4120612","url":null,"abstract":"","PeriodicalId":13499,"journal":{"name":"Indian Journal of Agricultural Sciences","volume":"10 1","pages":"1-44"},"PeriodicalIF":0.4,"publicationDate":"1940-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2307/4120612","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69292819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}