International journal of statistics and applied mathematics最新文献_第7页

Study on correlation and path coefficient analysis for yield and some quality traits in Indian mustard (Brassica juncea L.) 印度芥菜(Brassica juncea L.)产量及部分品质性状的相关及通径分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sk.1287

Ekta Saini, Mahak Singh, Pramod Kumar Prajapati, Devesh Yadav, Rakesh Kumar, Kundan Muwel

{"title":"Study on correlation and path coefficient analysis for yield and some quality traits in Indian mustard (Brassica juncea L.)","authors":"Ekta Saini, Mahak Singh, Pramod Kumar Prajapati, Devesh Yadav, Rakesh Kumar, Kundan Muwel","doi":"10.22271/maths.2023.v8.i5sk.1287","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sk.1287","url":null,"abstract":"The present investigation was carried out at Oilseed Research Farm, Kanpur during Rabi 2020-22 with 28 treatments [7 parents (PR-20, PR-21, Azad Mahak, KMR17-5, KMR17-4, NDR-8501 and KMR(L)17-6] and their possible combination excluding reciprocals)] following diallel cross analysis excluding reciprocals in 3 replications laid out in randomized block design. Genotypic correlation coefficient was higher in magnitude than their corresponding phenotypic correlation coefficient for all the characters. Significant positive correlations were found in seed yield per plant with number siliquae per plant, number of secondary branches per plant, number of primary branches per plant and main raceme length (cm),1000 seed weight (g), oil content (%), protein content (%), methionine content (%) and tryptophan content (%). Phenotypic path analysis values revealed that positive and direct effect on seed yield per plant was exerted by number of siliquae per plant followed by number of secondary branches per plant, protein content, number of primary branches, 1000 seed weight days to maturity and methionine content. Whereas, tryptophan content, days to 50% flowering, main raceme length, plant height and oil content showed negative direct effects. Thus, in this experimental material, these traits are recognized as the effective and probable choices for indirect selection towards increasing productivity. The challenge of the study is to find out the character associations to the yield and to estimate the direct and indirect effects of each character on yield. Ultimate aim is to enhance the yield and also enhance the quality of grain.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135690147","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

A study on the import of exotic fruits and factors influencing its consumption 外来水果进口及消费影响因素研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5se.1214

K Dharanikumar, S Moghana Lavanya, K Mahendran, M Prahadeeswaran, G Ashok Kumar

{"title":"A study on the import of exotic fruits and factors influencing its consumption","authors":"K Dharanikumar, S Moghana Lavanya, K Mahendran, M Prahadeeswaran, G Ashok Kumar","doi":"10.22271/maths.2023.v8.i5se.1214","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5se.1214","url":null,"abstract":"Exotic fruits which is unfamiliar and non-native fruits gaining popular among people. The objective of the study is to provides an investigation of the exotic fruits in the context of imports and consumption, seek to identify the factors which influence consumer to purchase exotic fruits for consumption. This study was conducted in Coimbatore city and an empirical survey was conducted in four retail stores through direct interviews with structured questionnaires from 120 exotic fruit consumers. The data regarding imports of fresh fruits was collected from news websites, official reports, articles, etc. The Garrett's ranking technique was adopted to examine the consumers purchase influencing factors. The finding of this study indicated surge in imports of fresh fruits in India from 2019 to 2022 in terms of both quantity and value. Health is a predominant factor driving the preference for exotic fruits consumption followed by Taste and family preference. Other factors which influenced the consumption were dietary habits and availability of a wide variety of fruits and in-store promotions/discounts. Overall, this article proposed valuable insights for businesses seeking to tap into India's growing exotic fruit market, emphasizing the importance of health, taste, and effective marketing in reaching a diverse and increasingly distinguishing consumer base.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135389030","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

Autoregressive integrated moving average (Arima) model for simulation of groundwater level at Devasuguru Nala watershed, Raichur district 基于自回归综合移动平均(Arima)模型的拉丘尔地区Devasuguru Nala流域地下水位模拟

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5c.1355

Anandakumar U, Sathishkumar GV, Srinivasa Reddy, B Maheshwara Babu

{"title":"Autoregressive integrated moving average (Arima) model for simulation of groundwater level at Devasuguru Nala watershed, Raichur district","authors":"Anandakumar U, Sathishkumar GV, Srinivasa Reddy, B Maheshwara Babu","doi":"10.22271/maths.2023.v8.i5c.1355","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5c.1355","url":null,"abstract":"Groundwater is a significant source of water in India, with approximately 65-70% of irrigation and 85-90% of the rural domestic water supply dependent on groundwater. India is one of the world's largest groundwater users, with an estimated annual groundwater extraction of over 230 cubic kilometers (km³). This high rate of extraction raises concerns about over-exploitation in many regions. For the effective management of groundwater, it is important to model and predict fluctuations in groundwater levels. The most widely used technique for time series analysis is, the Box Jenkins’ Autoregressive Integrated Moving Average (ARIMA) model is adopted for the study. Results showed that the groundwater levels had significantly declined from January 1999 to March 2017. The results indicated that seasonal decline in groundwater level for the observation well was 0.034 m/year and average annual decline was 0.7424 m/yr. The ARIMA candidate model [3, 0, 2] was identified as the best fit model for groundwater level time series modelling and forecasting in Devasuguru nala watershed region.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135782158","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

Mathematical models for better determination of food security in Nigeria: A case study of Bauchi state, North-Eastern, Nigeria 更好地确定尼日利亚粮食安全的数学模型:尼日利亚东北部包奇州的案例研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5c.1372

Baba Yusuf Bala, Abdul Rahim Hindatu

{"title":"Mathematical models for better determination of food security in Nigeria: A case study of Bauchi state, North-Eastern, Nigeria","authors":"Baba Yusuf Bala, Abdul Rahim Hindatu","doi":"10.22271/maths.2023.v8.i5c.1372","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5c.1372","url":null,"abstract":"Foods play a fundamental role for growth and development of human body including animals. Food security remains the cardinal agenda of every serious government. The prices of available food commodities must be affordable to every citizen and that were determined by the cost of the food commodities. As prices of agricultural commodities keep increasing, the availability of food becomes limited to every household in Nigeria, especially in the North-Eastern region. The research was aimed at determining the mathematical model that was perfect for determining the food security in the study area. Time series equations and Non-linear equation were used to compare the prices of the selected agricultural commodities. Price is considered because, price play a vital role to food security in the country. This research covers the entire local governments of Bauchi state including the metropolis and the crop considered included; Maize, Rice and Soybeans. Twenty local governments (20) local governments of Bauchi state were visited to collect data on averaged price of three selected commodities per mudu (i.e. Maize, Rice and Soybeans) through direct interaction as well as from Bauchi state statistical year book from 2013 to date across the state from national bureau of statistics Bauchi. Standard method for determining a linear trend is the method of least square that used for linear regression was used to model the selected agricultural commodities. The findings revealed that the Non-linear equation method has a minimal error compared to the least square method; this was explained that Non-linear equation is the better model for determining food security in Bauchi state.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135782386","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

Constraint analysis of paddy seed and grain production in Karimnagar district of Telangana using Garrett’s ranking technique 基于Garrett排序技术的泰伦加纳邦Karimnagar地区水稻种子和粮食生产约束分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sd.1204

Jayaprada Y, Dr. PA Lakshmi Prasanna, Dr. T Lavanya, Dr. Santhosha Rathod

{"title":"Constraint analysis of paddy seed and grain production in Karimnagar district of Telangana using Garrett’s ranking technique","authors":"Jayaprada Y, Dr. PA Lakshmi Prasanna, Dr. T Lavanya, Dr. Santhosha Rathod","doi":"10.22271/maths.2023.v8.i5sd.1204","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sd.1204","url":null,"abstract":"The present study was conducted in Karimnagar purposively selected district of Telangana to identify the constraints perceived by farmers in grain and seed production of hybrid and open pollinated varities of paddy. From this district three Mandals i.e Vinavanka mandal, Manakondur mandal and Shankarpatnam mandal, were selected randomly among seed growing mandals for collecting primary data. From each mandal, one village was selected as a sample i.e Elbaka village (Vinavanka mandal), Utoor village (Manakondur mandal) and Kannapur village (Shankarpatnam mandal). Sampling was done covering all farm size groups. In every chosen village, a total of 60 farmers were selected for sampling. This selection was designed to encompass 20 farmers engaged in the production of Hybrid seeds, another 20 involved in the production of OPV seeds, and an additional 20 farmers focused on grain production. Consequently, the complete sample consisted of 180 farmers distributed among the three villages. Garrett’ ranking technique was adopted to analyze the constraints as perceived by the respondents in Grain and seed production of paddy. The results revealed that major constraints perceived by rice growers were unfavourable weather conditions which ranked first with Garrett mean score around 85, followed by higher labour wage.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135250246","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

A study of parenting methods and their effects on stress and self-esteem 父母教养方式及其对压力和自尊影响的研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sm.1312

Simran Rani, Tanvi Sharma, Surbhi Kaushik

引用次数: 0

Panel data regression modelling for crime against children’s data 针对儿童犯罪数据的面板数据回归模型

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5se.1210

Rajarathinam A

引用次数: 0

An application of ARIMA for forecasting rapeseed and mustard area in Gujarat ARIMA在古吉拉特邦油菜籽和芥菜面积预测中的应用

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sh.1244

Delvadiya JB, Patel UB, Meera Padaliya, Gohil VM

{"title":"An application of ARIMA for forecasting rapeseed and mustard area in Gujarat","authors":"Delvadiya JB, Patel UB, Meera Padaliya, Gohil VM","doi":"10.22271/maths.2023.v8.i5sh.1244","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sh.1244","url":null,"abstract":"Rapeseed and mustard are the second most important oilseed crops in India. Soybean, groundnut and rapeseed and mustard are the major oilseed crops in India contributing around 84% to its total acreage. Forecasting is used to support effective and efficient decision-making and long-term planning. The study was carried out to develop forecasting model of area of rapeseed and mustard crop in Gujarat by using the time series data of 1991-92 to 2019-20 years. The polynomial models were fitted to the original data as well as three-year, four year and five year moving average data while, Autoregressive Integrated Moving Average (ARIMA) models were fitted to the original data on area of rapeseed and mustard crop in Gujarat state. Criteria of evaluation of model was highest R2, lowest value of RMSE and MAE, significant coefficient of model, lower value of Akaike’s Information Criteria (AIC) and Schwartz-Bayesian Criteria (SBC) values, normality test and randomness test of residuals. Quadratic model on original data and ARIMA (0, 1, 3) model were found to be most suitable to explain the pattern of area of rapeseed and mustard crop in Gujarat.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135686461","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: 1

A comprehensive review of papaya's multidimensional impact on health and wellness 木瓜对健康和保健的多维影响的综合综述

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5so.1327

Veersain ., Arvind Kumar, Mohit Kumar, P Thilagam, Rishabh Yadav, Shankar Rajpoot, Shubham Yadav, Suneel Kumar

{"title":"A comprehensive review of papaya&#39;s multidimensional impact on health and wellness","authors":"Veersain ., Arvind Kumar, Mohit Kumar, P Thilagam, Rishabh Yadav, Shankar Rajpoot, Shubham Yadav, Suneel Kumar","doi":"10.22271/maths.2023.v8.i5so.1327","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5so.1327","url":null,"abstract":"Papaya, renowned for its delectable fruit, conceals hidden treasures within its plant. The papaya's fruit, with its high vitamin C content and nutritional richness, supports overall health, while its often-overlooked seeds harbor antimicrobial and digestive benefits. Papaya leaves, steeped in traditional medicine, offer antioxidants and potential remedies for various health issues. Surprisingly, papaya skin contains enzymes with skin-rejuvenating properties. The less-studied papaya roots hint at digestive health and anti-inflammatory potential. Papaya flowers bring unique flavors to culinary delights and offer antioxidant and anti-inflammatory possibilities. Lastly, papaya enzymes, particularly papain, facilitate digestion, find use in dietary supplements, and serve as natural meat tenderizers or skincare agents. These diverse facets of the papaya plant highlight its holistic significance, transcending its famed fruit's sweetness, encouraging a deeper appreciation of this tropical treasure's multifaceted contributions to health and well-being.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738154","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

Navigating soybean price volatility: A deep learning perspective 大豆价格波动:深度学习视角

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sn.1316

Moumita Baishya, G Avinash, Kamal Sharma, Veershetty ., Harish Nayak GH

引用次数: 0