Retrospective Study of Investigation of Possible Predictors for Total Fertility Rate in India|Journal of Scientific Research and Reports

The total fertility rate (TFR) is the most frequently accepted and utilised method of determining current fertility. Because TFR is based on an age-specific fertility rate, the total number of births in various age groups, as well as the age of the female, are necessary. When the population is illiterate or elderly, age information may be subject to recall bias, misreporting digit preference, and other factors, causing TFR to deviate from reality. As a result, we’ll need to use some indirect approach to get a sense of TFR estimation. In this work, the authors attempted to discover several variables that explain TFR and to recommend the optimal combination of predictors for obtaining a TFR estimate. This study’s methodology is primarily based on the regression technique. The coefficient of determination is used to identify potential predictors and to accept them. The study is based on data from the National Family Health Survey (NFHS 4) for India’s major states.

Please click here : https://journaljsrr.com/index.php/JSRR/article/view/30314

Genotypic × Environment Interaction and Stability Analysis for Yield and Yield Attributes in Taramira (Eruca sativa Mill.)| International Journal of Environment and Climate Change

The goal is to find stable genotypes for yield and its contributing factors across a variety of settings.Field experimental design was used in this study.The experiment was conducted in different conditions at Research Farm, SKN College of Agriculture, S.K.N. Agriculture University, Jobner (Rajasthan), India during rabi 2018-19.
Methodology: A randomised block design with three replications was used to estimate genotypic environment interaction and stability parameters for various yield and yield attributing traits on thirty genotypes of taramira (Eruca Sativa Mill.) in three environments created by three dates of sowing during rabi 2018-2019. The Eberhart and Russell model was used to conduct the stability study.
RTM-1351, RTM-1810, RTM-1315, and RTM-314 were the top yielding genotypes. Seed yield per plant was found to be relatively consistent for genotypes RTM-314, RTM-1800, RTM-1810, and RTM-1815. RTM-1795, RTM-1798, and RTM-1799 genotypes showed lower than average seed yield per plant stability and were better suited to better environmental conditions. RTM-1791, RTM-1815, and RTM-1351 genotypes had above-average seed output per plant stability and were acceptable for poor environmental conditions. Additionally, these genotypes can be used to create a stable cultivar taramira.
Conclusion: Using a pooled analysis of variance, substantial differences between environments and genotypes were discovered. Most of the features were found to be most stable in the genotypes RTM-314, RTM-1800, RTM-1805, and RTM-1810, which may be produced in a wide range of settings (all three dates of sowing).

Please click here : https://www.journalijecc.com/index.php/IJECC/article/view/30354

Estimating Tibia Length: An Anatomical Landmarks Evaluation of Bones and X-ray Radiographs | Asian Journal of Medicine and Health

In forensic investigations of mass fatalities where body parts are mutilated, scattered, and mixed up, the ability to measure the length of a bone is a key step toward establishing an individual’s stature. This is due to the fact that long bone length has been linked to stature by experts. The anthropometric board, anthropometric tape, and digital calliper were used to measure nine tibia bone characteristics. This study used five of the nine factors that could be read on an anterior-posterior x-ray radiograph of the tibia and measured with a transparent metre rule. In this study, 600 samples of N = 600 (300 right and 300 left bones) and (320 males: right = 160; left = 160; 280 females: right = 140; left 140 radiography) were collected from Anatomy museums and hospitals in Nigeria’s six geopolitical zones. The mean value of measurements taken from the bones and those taken from anteroposterior x-ray radiographs did not differ significantly (p 0.05). For all factors, the difference in mean was found to be significantly (p 0.05) larger for males than females. The tibia proximal breadth (TPB), medial-lateral diameter at mid-shaft (MLDM), and tibia distal breadth (TDB) were found to be the most accurate predictors of tibia length. When the estimate of the shattered remains of the tibia is compared to the estimate from an anti-mortem x-ray radiograph, it may reveal the identity of the missing individual in circumstances of mass fatalities such as a plane crash or bomb blast.

Please see the link :- https://www.journalajmah.com/index.php/AJMAH/article/view/30456

Retrospective Study of Investigation of Possible Predictors for Total Fertility Rate in India | Journal of Scientific Research and Reports

The total fertility rate (TFR) is the most frequently accepted and utilised method of determining current fertility. Because TFR is based on an age-specific fertility rate, the total number of births in various age groups, as well as the age of the female, are necessary. When the population is illiterate or elderly, age information may be subject to recall bias, misreporting digit preference, and other factors, causing TFR to deviate from reality. As a result, we’ll need to use some indirect approach to get a sense of TFR estimation. In this work, the authors attempted to discover several variables that explain TFR and to recommend the optimal combination of predictors for obtaining a TFR estimate. This study’s methodology is primarily based on the regression technique. The coefficient of determination is used to identify potential predictors and to accept them. The study is based on data from the National Family Health Survey (NFHS 4) for India’s major states.

Please see the link :- https://www.journaljsrr.com/index.php/JSRR/article/view/30314

Impact of External Debt on Various Macro Economic Variables: Indian Evidence

The paper tries to investigate the impact of external debt on time series quarterly data spanning from 2007:02-2017:03, on various macro-economic variables and to study the existence of relationship and causality between them in India. In order to derive the results various econometric tools such as ADF unit root test, Granger Causality test and Regression Analysis have been employed in the study. The null hypothesis for the study were that External debt does not granger cause various macro-economic variables which was accepted at 5% level of significance and External debt does not have statistically significant relationship with various macro-economic variables, which was accepted in case of all variables except Inflation. Thus, it was found that no granger causal relationship was found between external debt and macro-economic variables and vice-versa. There exists no statistically significant relationship between external debt and RGDP, G-Revenue, Export, and G-Spending and they have almost no impact on the external debt. However, in case of Inflation there exists a positive statistically significant relationship that has 10.27% impact on external debt. It was concluded that External debt does not play a significant role in the economic development of India for the period of the study.

Please read full article : – www.journaljemt.com

Modified Ridge Regression Estimator with the Application of Peanut Production in Pakistan

The main objective of the present study was to develop a new ridge regression estimator and fit the ridge regression model to the peanut production data of Pakistan. Peanut production data has been used to analyze the results. The data has been taken peanut production and growth rate of Pakistan. The mean square error of the proposed estimator is compared with some existing ridge regression estimators. In this study, we proposed a ridge regression estimator. The properties of proposed estimators are also discussed. The real data set of peanut production is used for assuming the performance of proposed and existing estimators. Numerical results of real data set show that proposed ridge regression estimator provides best results as compare to reviewed ones.

Please read full article : – www.journalajarr.com

The Extent Contribution of Independent Variables to the Knowledge and Adoption of Mobile Agro-advisory Services by the Farmers in Udupi District of Karnataka State of India

The study was conducted during 2016-17 in Udupi district of Karnataka state of India. The farmers who are registered for mobile agro-advisory services for receiving all agricultural information through SMS were considered as a target group for the study. There were 4000 registered Agro-met Advisory users and 1400 registered users in KVK. Among those registered farmers 40 farmers from each existing three taluks viz. Udupi, Karkala & Kundapur were selected as respondents for the study. Thus the sample size of the study comprises of 120 respondents. The contribution of selected independent variable with the knowledge and adoption were analysed. It could be observed from the results that, ‘F’ value (6.412) obtained was significant at one per cent level of significance indicating that all the independent variables put together contributed significantly to the variation in the extent of the knowledge level of the farmers. The coefficient of determination (R2) was 0.5316, which revealed that the variation in the extent of knowledge about mobile messages by the farmers was together explained by all the independent variables selected for the study. It could be observed from the results that, ‘F’ value (5.160) obtained was significant at one per cent level of significance indicating that, all the independent variables put together contributed significantly to the variation in the extent of adoption of mobile agro-advisory services by the farmers. The coefficient of determination (R2) was 0.408, which revealed that the variation in the extent of adoption of mobile agro-advisory services by the farmers was together explained by all the independent variables selected for the study. Hence, the present study helps the Krishi Vignan Kendras (KVKs) and Government for further improvement in providing mobile agro-advisory services to the farming community.

Please read full article : –  journalajaees.com

Effect of Soil Management Investment on Cassava Production in Oyo State, Nigeria

This study examines the effect of soil management investment on cassava production in Ido Local Government Area of Oyo State (Nigeria) using cross-sectional data. Data were collected with the use of a structured questionnaire from eighty eight (88) respondents; four villages were randomly selected for the study. The data collected were analysed using descriptive, mean and multiple regression analyses. The results showed that 84.1% of the farmers were male while 15.9% were female, 45.4% were between the ages of 21 and 30 years, 60.2% of the farmers had 1-10 years of farming experience while 33.0% had tertiary education. Fertilizer and manure applications were the major soil management practices used by the respondents; 44.3% of the farmers invested between N11,000 and N20,000 on soil management during the farming season. The regression analyses revealed that farm size and cassava output were positively significant at 10% and 1% respectively while labour used was negatively signed and significant at 10% to the level of soil management investment. It was however, recommended that farmers should be more educated on the appropriate coping strategies for soil management. Hence, farmers should be encouraged by the Government by providing formal credit facilities with no or little interest rate to improve their soil management system in order to enhance productivity in the study area.

Please read full article : – www.journalajraf.com