International Journal of Agricultural and Statistical Sciences最新文献

{"title":"Diversification of Rice System: A Sustainable Livelihood for Rice Farming Households in Indramayu District, West Java, Indonesia","authors":"Wiwik Ambarsari, L. Sulistyowati, TrisnaInsan Noor, Eliana Wulandari","doi":"10.59467/ijass.2024.20.73","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.73","url":null,"abstract":"Agricultural development is a challenge and a way for sustainable livelihoods considering that increasingly narrow agricultural land causes agricultural productivity to decline. The rice diversification system is a solution to the potential byproducts of rice and cattle. The purpose of this research is to explain rice system diversification in increasing farming productivity as an alternative solution. There were two secondary dataused. Rice production and beef cattle production were from the Central Statistics Agency in West Java Province and Indramayu district (2013-2017). The development of beef cattle was supported by the Organic Fertilizer Processing Unit program (2013-2017). The secondary data were analyzed descriptively. The results of this study were positive beef cattle population growth of 18.43 percent during the period 2013-2017, the average number of beef cattle per year as much as 11,012 tails, the average amount of beef cattle manure per year in solid form as much as 116,943,192 tons and liquid as much as 55,894,882 liters and the population of beef cattle still needs to be increased because the amount of solid manure of freshly available beef cattle could be absorbed as much as 3.35 percent for increased productivity of rice fields. Indonesian government assistance was very much needed by rice farmers groups in carrying out a rice diversification system through the Organic Fertilizer Processing Unit program. Furthermore, the potential for rice straw and cattle livestock to become additional income and new sustainable livelihoods for rural farming households.. KEYWORDS :Diversification, Farming productivity, Rice system, Livelihood sustainability, Farmer household.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"372 3","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141401351","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}

{"title":"Is Increasing Age at Marriage Really Effective in Reducing Completed Fertility? Evidence from the Multinomial analysis of the Fifth Round of the National Family Health Survey in India (2019-21)","authors":"Brijesh P. Singh, Tanya Singh, Alok Kumar Singh","doi":"10.59467/ijass.2024.20.21","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.21","url":null,"abstract":"In accordance with our information, the age at first marriage of women is gradually increasing due to the increase in the level of education, a trend towards employment, and the reduction of social taboos, etc. On the basis of the fifth round of the National Family Health Survey (2019-21) conducted in India, this study examines whether women?s completed fertility is affected by their age at marriage in the presence of all other socioeconomic and demographic factors. The study includes a sample of 44,479 married women over the age of 45 years at the time of the NFHS-5 survey. The trend of completed fertility was examined using descriptive statistics. Bivariate analysis and multinomial logistic regression analysis were employed to show statistical significance. It was found that completed fertility declines gradually with increasing time at all ages at marriage (from NFHS-II to NFHS-V) and with increasing age at marriage in all four rounds of NFHS, completed fertility is reduced. Women who were 35 years and older at the time of marriage [ARRR = 2.619, 95% CI = 2.300, 2.983], who belonged to Hinduism [ARRR = 1.989, 95 % CI = 1.730, 2.287], who belonged to other castes [ARRR = 2.417, 95% CI = 2.120, 2.755], who had higher levels of education [ARRR = 21.424, 95% CI = 10.581, 43.378], who were exposed to mass media [ ARRR = 1.266, 95% CI = 1.158, 1.384], who were living in urban areas [ARRR = 1.266, 95% CI = 1.008, 1.284], and who belonged to the southern region [ARRR = 6.208, 95% CI = 4.923, 7.828] were more likely to have less completed fertility. This study showed that the likelihood of less completed fertility is strongly influenced by the factor of age at marriage.. KEYWORDS :Age at marriage, Completed fertility, Menopause, Likelihood, NFHS.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"76 12","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141389482","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}

{"title":"Transient Analysis of Two-Dimensional State M/M/2 Queueing Model with Multiple Vacations, Catastrophes and Feedback","authors":"Sharvan Kumar, Indra Indra","doi":"10.59467/ijass.2024.20.309","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.309","url":null,"abstract":"This study obtains transient solution of two-dimensional state Markovian queueing model with homogenous servers, multiple vacations, catastrophes and feedback. Inter-arrival and service times follow an exponential distribution with parameters ? and ?, respectively. Units are ejected from the system when catastrophes occur. Servers get deactivated for a moment and are ready for service when new units arrive. Occurrence of catastrophes follows Poisson distribution with rate. After receiving the service, the units either exit or rejoin the system immediately at the early end of the queue; this is known as ?feedback?. Laplace transform approach has been used to find transient solution and discover some quantifiable results.. KEYWORDS :Markovian queue, Laplace transform, Multiple vacations, Catastrophes, Feedback","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"31 2","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141390387","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}

{"title":"Characterization of High and Stable Yield Genotype for Maize based on Multivariate stability Analysis and Prediction of Crop Yield using Ensemble Learning Techniques","authors":"M. Haripriya, A. Radhika","doi":"10.59467/ijass.2024.20.289","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.289","url":null,"abstract":"The production of maize globally surpassed the wheat and rice, because it is a staple crop in many regions of the world. Also, in addition to being directly consumed by people, maize is also used to make corn ethanol, animal food and several other products of maize, therefore the stability and high yield of maize is an extremely crucial part to promote long-term growth and food protection. This study looked at the effects of G ? E interaction on yield stability in 23 hybrids of maize in 53 distinct Indian environments. On the basis of analyses of variance, stability tests for multivariate stability parameters were carried out. In terms of all characteristics, the genotype and environment (G ? E interaction) differences were highly significant (p < 0.01), according to the pooled analysis of variance. A GGE biplot was created with the two principal components, which accounted for 66.02% and 8.51% variation in GEI for the corresponding yield per hectare. The GGE biplot and AMMI model exposed genotypes SYN916801, Bio 9682, DKC 9215, NMH 4313 as good with an indication of high mean yield and stability within the environment that were tested. By the results, we suggest breeding might boost output yield, and also the identified genotypes may be suggested for commercial farming. Also, for the creation of successful agricultural and food policy, reliable crop production estimates are essential. So, examinations were made on the machine learning techniques such as random forest and Gradient Boosting algorithm to predict crop yield responses in maize. While assessing statistical performance, GBM was found highly capable of predicting yield as compared to RF. Result showed that GBM is a good and adaptable machine learning technique for yield predictions.. KEYWORDS :Additive main effect and Multiplicative interaction, G ? E interaction, Machine learning techniques, Gradient boosting machine, Random forest.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"25 4","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141392907","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}

{"title":"Refined batch of Estimators for Estimating Population Mean with the help of known Auxiliary Parameters","authors":"Lakhan Singh, Diksha Malik, Manish Kumar, S. K. Yadav","doi":"10.59467/ijass.2024.20.299","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.299","url":null,"abstract":"In the presented work, we have instituted a batch of ratio type estimators for estimating the population mean under simple random sampling with the help of known auxiliary variables or function of auxiliary variables, for more refined result. The expression of bias and mean square error of the instituted class are induced up to the first order of approximation. The strength of the proposed batch of estimators is compared with some existing estimators in terms of MSEs, first theoretically and then a numerical study is also carried out by using real data set to support the findings. It is concluded that the proposed class outperforms the various prevailing estimators in terms of minimum MSE and higher percentage relative efficiency.. KEYWORDS :Estimator, Mean, Bias, Mean square error, Percentage relative efficiency, Auxiliary information.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"89 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141392787","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}

{"title":"Optimum Rice Prediction from Conventional, Neural Network and Hybrid models","authors":"Qaisar Mehmood, M. Sial, Muhammad Riaz, Berihan R. Elemary","doi":"10.59467/ijass.2024.20.45","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.45","url":null,"abstract":"The objective of study was to propose the appropriate model for forecasting the area and production of rice crops in Pakistan. The data for the rice area and production was taken for the agriculture statistics from 1947 to 2020 from the official website, Ministry of Finance, Government of Pakistan. The conventional ARIMA methodology was applied initially to forecast the rice area and production by using the proposed ARIMA(1,1,0) model. Then ARIMA, ETS, TBATS, Artificial Neural Network (ANN) and ARIMA-ETS, ARIMA-TBATS and ARIMA-ANN hybrid model were compared. It was observed that ARIMA(1,1,0) model was best for forecasting the production of rice than all other seven models with the lowest value of RMSE = 401.90 (tons) and MAE = 250.32. For forecasting the rice area, the ARIMA-ANN model was selected because it showed the lowest value of RMSE = 121.89 (Ha) and MAE = 85.82 among all the models. Rice area and production was forecast from 2021 to 2030 by the proposed models, which show that the average prediction of rice production is 7879.96 tons while the rice area would be 3010.82 hectare for the next ten years. It shows that area will be increased by 2.11 percent and rice production will be increased by 11.97 percent upto 2030.. KEYWORDS :Forecasting, ARIMA, TBATS, ETS, ANN.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"109 15","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141407123","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}

{"title":"Productivity and Profitability of Wheat as Influenced by Clodinafop Propargyl alone and in Combination with other Herbicides","authors":"K. Sikeriya, Anay Rawat, P.K. Mishra, G. Jamliya","doi":"10.59467/ijass.2024.20.113","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.113","url":null,"abstract":"A field experiment was conducted at Research Farm A, College of Agriculture, Ganj Basoda, District Vidisha (M.P.) during the rabi season of 2021-22. The application of clodinafop propargyl + metsulfuron methyl @ 60 + 4 g a.i. ha-1 as post emergence produced maximum grain yield (4854 kg ha-1), straw yield (7789 kg ha-1) and net monetary return (Rs 72502 ha-1) with BC ratio 2.77 as compared to other herbicidal treatments and it was statistically at par with clodinafop propargyl + metribuzin @ 60 + 175 and clodinafop propargyl + carfentrazone ethyl @ 60 + 20g a.i. ha-1.. KEYWORDS :Post emergence, Clodinafop Propargyl, Gross monetary return, Net monetary return, B:C ratio.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"100 5","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141390771","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}

{"title":"Demand Driven Material Requirements Planning: An Inventory Optimization Model","authors":"Muragesh Math, D. Gopinath, B.S. Biradar","doi":"10.59467/ijass.2024.20.105","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.105","url":null,"abstract":"When dealing with stochastic multi-state production and distribution systems, determining the appropriate quantity of safety stocks on hand may be tricky. We often limit existing solutions for maximizing safety stock levels while keeping cost, objectives and service level constraints in mind to a subset of multi-stage inventory challenges, such as strictly serial architectures or specialist two-stage production/distribution systems. This may make achieving ideal stock levels while meeting cost objectives and sustaining service levels problematic. This is due to the underlying assumption in these systems that cost and service level are directly proportional to one another. Controlling unpredictability and satisfying customers are inventory management?s most important tasks. DDMRP (Demand-Driven Material Requirements Planning) dynamically adjusts inventories to handle unpredictability and improve customer service. This is done to improve crisis management. This achieves ?demand-driven material requirements planning.? This study presents a DDMRP-specific safety stock calculation. The inclusion of this formula aids in the preservation of mathematical consistency. When dealing with a model based on normal probability distributions, the major focus is discovering and applying the parts necessary for safety stock computation. One of the most well-known fast-moving consumer goods (FMCG) firms in South East Asia is the major focus of a case study to validate the proposed strategy. To build a scientific model, the study adopts a probabilistic strategy. The primary goal of this model is to aid in the process of identifying appropriate levels of safety stock and inventory at the distributor level, which will ultimately allow for a customer fill rate of 99%. A distribution network will be employed to achieve this purpose. The model provides a complete framework for estimating optimum safety stock levels and reorder points while accounting for the stochastic nature of demand and including critical elements. This enables more precise forecasting of future demand. This contributes to better inventory management practices and promotes customer satisfaction.. KEYWORDS :DDRMP, Demand level, Distribution network, Safety Stock Model.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"1 2","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141394414","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}

{"title":"Distribution and Identification of Culex pipiens Linnaeus, 1758 (Diptera: Culicidae) in the Kurdistan Region of Iraq","authors":"Dlpak Birkhader Yaba, S. Al-muffti","doi":"10.59467/ijass.2024.20.145","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.145","url":null,"abstract":"The specimens utilized for this investigation comprise adult individuals of Culex pipiens and their immature forms. The Culex pipiens mosquitoes are captured using a net trap, while larvae are collected using conventional dipping techniques. The samples are selected at random from fourteen locations in the provinces of the Kurdistan area of Iraq, specifically Erbil, Duhok, Sulaimaniyah and Halabja. From September 15, 2020 to November 20, 2021, a total of 291 female Culex pipiens mosquitoes were collected from the four provinces stated above. The breakdown of the samples is as follows: 135 from one province, 82 from another province, 23 from a third province, and 51 from the fourth province. The diagnosis key is provided for adult individuals and fourth-stage larvae, which originate from a species of mosquito. To illustrate this study, a concise morphological description was utilized, and photos were included to provide a vivid depiction.The findings of the present investigation indicate that adult females had a greater wing length compared to males. The wing length of females ranged from 3.3 to 4 mm, with an average of 3.55 mm. When adult Culex pipiens were looked at, the costa and sub-costal intersections were found at or beyond the point where R2+3 splits in most of the samples. The siphons of fourth-instar larvae are elongated and taper gradually towards the end. On average, their length is 1.4 mm, with a range of 1.3 to 1.5 mm.. KEYWORDS :Culicidae, Culex pipines, Diptera, Kurdistan Region, Iraq, Survey.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"218 3","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141401958","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}

{"title":"Effect of Cultivation at Different Altitudes on the Chemical, Functional and Pasting Properties of Starch Medians Cultivar Potato (Solanum tuberosum L.)","authors":"Ira Endah Rohima, M. Djali, Yana Cahyana, J. S. Hamdani, M. Lani","doi":"10.59467/ijass.2024.20.33","DOIUrl":"https://doi.org/10.59467/ijass.2024.20.33","url":null,"abstract":"The cultivation elevation of potatoes plays a crucial role that influences starch quality. Little is known on the impact of varying altitudes on starch quality. Therefore, this new study analyzed the starch attributes of the Median?s potato variety (Solanum tuberosum L.) cultivated at three distinct altitudinal zones: lowlands, midlands, and highlands. The objective was to elucidate the impact of these varying altitudes on the chemical composition, functional qualities and pasting behavior of starch derived from the Median?s cultivar. Utilizing a randomized block design with quadruplicate trials, the data was subjected to one-way ANOVA and Duncan?s Multiple Range Test, at a 5% significance threshold. The results show that highland and midland plantings yielded a higher starch production. The cultivation altitude had a significant influence (p < 0.05) on several chemical parameters of the starch, including its moisture, protein, lipid content, total starch, amylose, ash and phosphorus contents. The functional properties, such as swelling volume, solubility, water and oil absorption capacities, syneresis, gel strength, and colors (a*, b*, L* values) also exhibited significant variance with altitude. Furthermore, pasting qualities also were altered by the altitude of potatoes cultivation. X-Ray Diffraction (XRD), particle size analysis, granule morphology via microscopy and Fourier Transform Infrared Spectroscopy (FTIR), revealed significant differences (p < 0.05) across starches from different altitudes, confirming the influence of environmental conditions on starch quality and its functional properties. These results provide valuable recommendations for customizing potato farming methods to enhance starch yield and their applications in various food production sectors.. KEYWORDS :Cultivation altitude, Cultivar, Farming methods, Functional properties, Starch quality.","PeriodicalId":50344,"journal":{"name":"International Journal of Agricultural and Statistical Sciences","volume":"90 8","pages":""},"PeriodicalIF":0.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408469","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}