Agricultural Science Digest – A Research Journal最新文献

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Effect of Weather Indices under Different Sowing Windows on Grain Yield of Sorghum 不同播期气象指标对高粱籽粒产量的影响
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-12 DOI: 10.18805/ag.d-5802
Y. Sindhu, R. Karthikeyan, S. Sivakumar, M. Djanaguiraman, M. Thirunavukkarasu, K. Boomiraj
{"title":"Effect of Weather Indices under Different Sowing Windows on Grain Yield of Sorghum","authors":"Y. Sindhu, R. Karthikeyan, S. Sivakumar, M. Djanaguiraman, M. Thirunavukkarasu, K. Boomiraj","doi":"10.18805/ag.d-5802","DOIUrl":"https://doi.org/10.18805/ag.d-5802","url":null,"abstract":"Background: Sorghum (Sorghum bicolor L. Moench) is one of the major staple cereal crops after rice and wheat. Photoperiod (day length) sensitivity has been shown to affect the duration of plant’s vegetative phase based on sowing dates. Optimum sowing date is one of the most important factors that play an important part in yield. Methods: A field experiment was carried out during the summer season of 2022. in the Eastern block farm (37F) of Tamil Nadu Agricultural University, Coimbatore in sandy loam soil to study the phenological behaviour of sorghum as influenced by sowing window (D1 - First fortnight of February, D2 - First fortnight of march and D3 - First fortnight of April) by analysing the Helio-thermal units (HTU), Photo-thermal units (PTU) and growing degree days (GDD) and to evaluate the performance of sorghum CO-32 cultivar. The experiment was laid out in strip plot design. Results: Among the different sowing windows highest grain yield was recorded when sowing was done in I FN of April (2602.81 kg/ha) followed by I FN of March (2484.53kg/ha). The attainment of phenophases was found early in February sowing. It was observed that accumulated heat units increased by 114 °C and 142.2 °C days in March and April sown crop compared to February sown crop. Among the sowing windows maximum photo thermal units were accumulated by April sown crop (15135.2oC day hrs) followed by March (13485.57oC day hrs) and February (11608.5oC day hrs) sown crop respectively.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79447236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Soil Carbon Stock and Carbon Pool Indices under Major Land Use Systems of Mayiladuthurai District, Cauvery Delta Zone, India 印度Cauvery三角洲地区Mayiladuthurai地区主要土地利用系统下的土壤碳储量和碳库指数
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-11 DOI: 10.18805/ag.d-5786
S. Prabakaran, R. Kaleeswari, M. R. Backiyavathy, R. Jagadeeswaran, R. Selvi, K. Bama
{"title":"Soil Carbon Stock and Carbon Pool Indices under Major Land Use Systems of Mayiladuthurai District, Cauvery Delta Zone, India","authors":"S. Prabakaran, R. Kaleeswari, M. R. Backiyavathy, R. Jagadeeswaran, R. Selvi, K. Bama","doi":"10.18805/ag.d-5786","DOIUrl":"https://doi.org/10.18805/ag.d-5786","url":null,"abstract":"Background- Soil organic carbon serves as potential indicator of the soil quality which is influenced by the changes in management practices. The conversion of natural ecosystem by anthropogenic activities resulted in decline of SOC. So, this study was conducted to assess the carbon indices and understand the dynamics to develop the management strategies for enhancing the C pool in the soil. Methods- The present study was conducted in major land use systems of Mayiladuthurai district of Cauvery delta zone in Tamil Nadu. Soil samples were collected by stratified random sampling at two different depths and estimated for soil carbon indices. Result- The SOC, C stock, bulk density, microbial biomass carbon, dehydrogenase, carbon management index of the study area varied with the mean value of 12.51 Mg ha-1, 10.57 t ha-1, 1.26 Mgm-3, 302.52 µg kg-1, 38.21 µg TPF g-1 day-1and 126.91 % respectively. C stock were in the order of forestry greater than rice-pulses greater than rice-cotton greater than sugarcane greater than uncultivated among the different land uses of the study area. The difference in vegetation, litterfall, soil chemistry, microbial activity, substrate, root exudate, root biomass and root turnover influenced the variation in carbon pool under different land uses of the study area.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89260620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crop Weather Pest Relationship and Forewarning Model for Spodoptera frugiperda on Maize and Sorghum 玉米、高粱夜蛾作物天气病虫害关系及预警模型
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-09 DOI: 10.18805/ag.d-5741
T. Prathima, K. Sudheer, K. Devaki, C. Madhuri, G. Subramanyam, L. Aggile
{"title":"Crop Weather Pest Relationship and Forewarning Model for Spodoptera frugiperda on Maize and Sorghum","authors":"T. Prathima, K. Sudheer, K. Devaki, C. Madhuri, G. Subramanyam, L. Aggile","doi":"10.18805/ag.d-5741","DOIUrl":"https://doi.org/10.18805/ag.d-5741","url":null,"abstract":"Background: Fall Armyworm, Spodoptera frugiperda is a crop pest with over 80 host species that causes severe damage to maize and sorghum crops. S. frugiperda is native to tropical and subtropical region of America that has spread rapidly throughout the world. Methods: Based on the severity of S. frugiperda in India a field experiment was conducted to study the pest influence in maize and Sorghum crops for two years i.e., 2020 and 2021 during the kharif season at Regional Agricultural Research Station, Tirupati. Using correlation and regression techniques, the data was pooled and statistically analysed with weather parameters. Result: Correlation studies revealed a significant positive relationship between pest damage and minimum temperature showed negative relation with morning and evening relative humidity, while wind velocity and evaporation are positively influenced S. frugiperda damage. Maximum temperature, wind velocity and evaporation together played a role in the occurrence of S. frugiperda. Regression equations were developed using SPSS for predicting the damage caused by S. frugiperda.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"105 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80838532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of Precision Nutrient Management on Rice Growth and Productivity in Southern Odisha 奥里萨邦南部精确养分管理对水稻生长和生产力的影响
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-09 DOI: 10.18805/ag.d-5824
Lalichetti Sagar, S. Maitra, Sultan Singh, Masina Sairam
{"title":"Impact of Precision Nutrient Management on Rice Growth and Productivity in Southern Odisha","authors":"Lalichetti Sagar, S. Maitra, Sultan Singh, Masina Sairam","doi":"10.18805/ag.d-5824","DOIUrl":"https://doi.org/10.18805/ag.d-5824","url":null,"abstract":"Background: Despite the emergence of numerous smart tools in recent times, a significant research gap still exists in identifying the most effective smart tool that optimally synchronizes fertilizer application with crop requirements, thereby promoting crop growth and productivity in accordance with the principles of SSNM. Methods: The present investigation took place at the PG Experimental Farm, MSSSoA, CUTM, Odisha, during the boro season of 2021-22.The experiment followed a randomized block design, with eleven treatments that were replicated three times. The investigated treatments included the following: T1-absolute control (no fertilizer), T2-75% of the recommended dose of fertilizer (RDF), T3-100% RDF, T4-125% RDF, T5-75% RDF followed by a spray of nano urea at a rate of 2ml/L during panicle initiation, T6-100% RDF followed by a spray of nano urea at a rate of 2ml/L during panicle initiation, T7- leaf colour chart (LCC) 3 based nitrogen management,, T8-LCC 4 based nitrogen management, T9- Sufficiency Index (SI)-based nitrogen management at SI less than 90%, T10- Nutrient expert (NE)-based nutrient recommendation, and T11- Rice crop manager (RCM)-based nutrient recommendation. Result: The study found that implementing nitrogen management based on site-specific information, using a total of 150 kg of nitrogen per hectare applied in four separate applications (at the basal stage, 28 days after transplanting, 42 days after transplanting, and 63 days after transplanting), along with consistent levels of phosphorus and potassium, led to a 16.68% increase in grain yield and a 13.17% increase in biological yield for rice. This approach outperformed the traditional method of applying 100% recommended dose of fertilizer with 120 kg of nitrogen at fixed time intervals (basal, active tillering, and panicle initiation).\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85594158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Synthesis and Standardization of Sodium Nitroprusside Nanoformulation on Germination and Early Seedling Growth of Maize under PEG- Induced Moisture Stress 聚乙二醇诱导水分胁迫下硝普钠纳米制剂的合成和标准化对玉米萌发和幼苗早期生长的影响
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-09 DOI: 10.18805/ag.d-5797
Bobbe Sivakumar, M. Yassin, S. Marimuthu, M. Kalarani, S. Thiyageshwari
{"title":"Synthesis and Standardization of Sodium Nitroprusside Nanoformulation on Germination and Early Seedling Growth of Maize under PEG- Induced Moisture Stress","authors":"Bobbe Sivakumar, M. Yassin, S. Marimuthu, M. Kalarani, S. Thiyageshwari","doi":"10.18805/ag.d-5797","DOIUrl":"https://doi.org/10.18805/ag.d-5797","url":null,"abstract":"Background: Sodium nitroprusside (SNP) is a common substance used to decrease the harmful effects of abiotic stress and to improve the germination and early seedling growth of crops. However SNP use is limited by its short lifespan and photosensitivity. With this context, current study taken up to that synthesize of SNP loaded chitosan nanoparticles and to standardize for the seed treatment. Methods: SNP loaded chitosan nanoparticles were successfully synthesized by using ionic gelation method. A variety of characterization techniques utilized viz., Dynamic Light Scattering (DLS), Fourier-Transform Infrared Spectroscopy (FT-IR) and release kinetics. A laboratory experiment was conducted to standardize the ideal SNP nanoformulation dosage for seed treatment in order to minimize the negative impacts of drought stress in maize. The treatments involved soaking seeds in solutions containing various concentrations of SNP nanoformulation, including 20, 40, 60, 80 and 100 ìM including control. Result: The experimental results indicated that, among SNP nanoformulation concentrations, seeds treated with @ 100 ìM concentration showed the highest germination percentage (85%), promptness index (82.3%), vigor index (1624%), shoot and root length (8.4 cm and 11 cm), fresh and dry weight of shoot (123.7 and 61.6 mg/20seedlings) and root (52.6 and 25.0 mg/20seedlings) respectively, under PEG-induced drought stress conditions compared with control.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"47 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89456979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of Precision Nutrient Management on Dry Matter Accumulation and Partitioning of Rice in Southern Odisha 精细化养分管理对南奥里萨邦水稻干物质积累和分配的影响
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-09 DOI: 10.18805/ag.d-5822
Lalichetti Sagar, S. Maitra, Sultan Singh, Masina Sairam
{"title":"Influence of Precision Nutrient Management on Dry Matter Accumulation and Partitioning of Rice in Southern Odisha","authors":"Lalichetti Sagar, S. Maitra, Sultan Singh, Masina Sairam","doi":"10.18805/ag.d-5822","DOIUrl":"https://doi.org/10.18805/ag.d-5822","url":null,"abstract":"Background: The nutrient management practices are largely known to influence dry matter accumulation and translocation in rice. However, the role of precision nutrient management in dry matter partitioning to the reproductive parts of rice is still unexplored. Methods: The present trial was conducted during boro season of 2021-22 at PG Experimental Farm, MSSSoA, CUTM, Odisha. The experiment was laid out in randomized block design with 11treatments that were replicated thrice. The treatments examined under the investigation were namely, absolute control, 75% recommended dose of fertilizer (RDF), 100% RDF, 125% RDF, 75% RDF fb nano urea spray @ 2ml/L at panicle initiation, 100% RDF fb nano urea spray @ 2ml/L at panicle initiation, leaf colour chart (LCC) 3 basednitrogen management, LCC 4 based nitrogen management, sufficiency Index (SI)-based N management at a threshold value less than 90%, Nutrient expert (NE) based nutrient recommendation, Rice crop manager (RCM) based nutrient recommendation. Result: The results of the study indicated that SI-based N management at a threshold value less than 90% results in highest allocation, shoot dry matter to the panicle (53.46%); while, absolute control of nutrients resulted in highest percentage allocation of shoot dry matter to culm (23.72%) and leaves (33.88%) during maturity.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81489903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seed Physiological Quality Testing Gambir (Uncaria gambir roxb.) at Various Ages of Harvest 不同采收期甘茅(Uncaria Gambir roxb.)种子生理品质测试
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-08 DOI: 10.18805/ag.df-538
A. Zainal, M. ., M. Kasim, Gustian ., W. ., R. Yunita
{"title":"Seed Physiological Quality Testing Gambir (Uncaria gambir roxb.) at Various Ages of Harvest","authors":"A. Zainal, M. ., M. Kasim, Gustian ., W. ., R. Yunita","doi":"10.18805/ag.df-538","DOIUrl":"https://doi.org/10.18805/ag.df-538","url":null,"abstract":"Background: Gambier has a problem with low production levels which is caused by the use of inferior quality plants that come from inferior seeds. This study aims to determine the optimal harvesting age for producing gambir seeds with optimal physiological quality. The maturity phase of the fruit became the basis for determining the timescalation of the harvest that count from the day after anthesis. The research was carried out from June to December of 2021. This research was conducted at the Seed Technology Laboratory, Faculty of Agriculture andalas University, Padang. The plant material utilized is the seed of the Mancik Riau gambier. Methods: The research employed a Completely Randomized Design (CRD) with five treatments based on days after anthesis (DAA) because at this phase the plants pollinated and the fruit maturity phase begin and it used three replication : seeds harvested at 110-112 DAA, 107-109 DAA, 104-106 DAA, 101-103 DAA and 98-100 DAA. Quantitative data are analyzed at a 5% significance level using Analysis of Variance; if the effect is significant, the Duncan’s Multiple Range Test (MRT) is performed; and qualitative data are presented descriptively. Result: The results revealed that the harvest age of 98-100 DAA provided the highest viability and vigor, as measured by germinated power testing at 80.50%, seed growth potential testing at 81.83%, T50 test, index value testing at 11.04 and soil emergence testing at 84.33%, indicating that the plant had reached physiological maturity.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"2009 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82586348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Osmo-priming with a Novel Actives Carrabiitol® Alleviates Abiotic Stresses in Sorghum and Fenugreek: Effect on Seed Germination and Seedling Growth 新活性Carrabiitol®的渗透诱导缓解了高粱和葫芦巴的非生物胁迫:对种子萌发和幼苗生长的影响
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-07 DOI: 10.18805/ag.d-5771
Femida Y. Patel, Amisha Patel, Neil J. Shah
{"title":"Osmo-priming with a Novel Actives Carrabiitol® Alleviates Abiotic Stresses in Sorghum and Fenugreek: Effect on Seed Germination and Seedling Growth","authors":"Femida Y. Patel, Amisha Patel, Neil J. Shah","doi":"10.18805/ag.d-5771","DOIUrl":"https://doi.org/10.18805/ag.d-5771","url":null,"abstract":"Background: Abiotic stress is a serious threat to crops as it inhibits the seed germination and seedling growth. Seed treatment with osmolytes and plant growth regulating chemicals found to be effective in mitigating the abiotic stress. In this regard, the study was conducted to evaluate the osmo-priming effect of Carrabiitol®, novel patented(IN) commercial product derived from carrageenan oligosaccharide, on seed germination and seedling growth of sorghum and fenugreek under induced stresses. Methods: The concentration of Carrabiitol® tested for seed priming were 1000, 2000 and 3000 mg/L. The abiotic stresses viz. drought, salinity and excess water stresses, were induced using PEG 6000, sodium chloride and water, respectively. Experiments were arranged in a randomized complete block design with three replications. Result: The germination percentage, root length and shoot length were reduced in non-primed stressed sorghum and fenugreek seeds (T2) as compared to unstressed seeds. Osmo-priming with 3000 mg/L of Carrabiitol® (T5) was found to be most significant in improving the seed germination and seedling growth of sorghum and fenugreek under the induced stresses (p≤0.05). Overall, the results suggested that application of Carrabiitol® was effective in improving the seed germination and seedling growth of sorghum and fenugreek by alleviating the applied abiotic stresses.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87487453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Agricultural Value Chain in the North-East Region of India: Present Scenario and Future Prospects 印度东北地区农业价值链:现状与未来展望
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-07 DOI: 10.18805/ag.d-5723
Priyabrata Roy, Sujoy Hazari
{"title":"Agricultural Value Chain in the North-East Region of India: Present Scenario and Future Prospects","authors":"Priyabrata Roy, Sujoy Hazari","doi":"10.18805/ag.d-5723","DOIUrl":"https://doi.org/10.18805/ag.d-5723","url":null,"abstract":"Developing agricultural value chains for local and international markets might alleviate poverty and food insecurity in northeast India. This is particularly true in north-east India, where farmers may produce agricultural commodities with higher value-added potential if processing, marketing and distribution are available, therefore boosting the value of the end product. This article addresses the need for shared knowledge and awareness of modern agricultural value chain improvements to aid decision-making. This study addressed agricultural value chain challenges holistically. Agribusiness expansion and value chain management in northeast India are also explored. A brief literature overview highlights real-world applications and ongoing research. Secondary data from value chain and related literature was utilised. The study highlighted key agricultural value chain concerns and recommended their establishment and growth in North Eastern India. This study enhances agricultural value chain management.\u0000","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82012914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Forecasting of Arecanut in India using Time Series Model 用时间序列模型预测印度槟榔产量
Agricultural Science Digest – A Research Journal Pub Date : 2023-08-07 DOI: 10.18805/ag.d-5764
P. Mishra, Arti, B. Mondal, Rajnee Sharma, Binita Kumari, Tufleuddin Biswas, Soumik Ray
{"title":"Forecasting of Arecanut in India using Time Series Model","authors":"P. Mishra, Arti, B. Mondal, Rajnee Sharma, Binita Kumari, Tufleuddin Biswas, Soumik Ray","doi":"10.18805/ag.d-5764","DOIUrl":"https://doi.org/10.18805/ag.d-5764","url":null,"abstract":"Background: Arecanut is popularly known as supari and is grown in many parts of the country. India maintained its first place in production among all the countries. In total world’s area and production, India contributes about 49 per cent and 59 per cent respectively. The area has expanded to various states such as Tamil Nadu, West Bengal, Maharashtra, Andhra Pradesh, Goa, Meghalaya and Tripura etc. Methods: The data from 1960-61 to 2015-16 is used to build the model, whereas data from 2016-17 to 2019-20 is used to validate the model. Appropriate statistical steps were adopted for model building and model validation. Holt’s linear and Holt’s exponential and ARIMA models is used in the study to forecast area, production and productivity for next five years from 2021 to 2025. Result: The results from the study revealed that Holt’s winter Exponential was the best model for predicating area and production whereas ARIMA (0, 1, 1) model was found best suited for predicating productivity.","PeriodicalId":7599,"journal":{"name":"Agricultural Science Digest – A Research Journal","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73553457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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