Aim The intention of existing study was to compare the effects of varied aerobic exercise intensity on body composition of sedentary overweight females in arbaminch. Method Forty[40] overweight participants [body mass index (BMI) ≥ 25 kg/m2, age 18–32 years] were randomized into four equal groups (n = 10): light-intensity training group (LITG), 40–60% heart rate reserve (HRR); middle intensity training group (MITG), 60–70% HRR; high-intensity training group (HITG), 70–80% HRR; and control group (CG).Aerobic exercise training program was conducted for 40–60 min per day on a treadmill 3 days per week for 12 weeks. All participant height, weight, WHR, BMI and %of BF were measured at pre and after 12 weeks. Result At the starting point, the component of body composition indicates did not differ significantly among the four groups (p > 0.05). After 12- week exercise intervention, the HITG and MITG had significantly more changes in body weight, waist-to-hip ratio (WHR), %BF and BMI than the LITG. Conclusions A 12-week high and moderate intensity exercise intervention can considerably reduce body weight, body fat, WHR, and BMI, whereas a light-intensity exercise intervention can significantly reduce body weight and body fat. Based on my investigation all types of intensity can reduce body weight. But high and moderate intensity training had reduced weight quickly than low intensity training.
Agriculture is a confirmed path to success. No region of the world has developed a diverse, modern economy without first establishing a successful foundation in agriculture. Food security is an enduring critical challenge in Ethiopia. The 2015 El Niño drought is one of the strongest droughts that have been recorded in Ethiopian antiquity. The study aims to evaluate the impacts of climate change and fertilizers applied on barley yield per hectare from 1987 to 2017 using an autoregressive distributed lag to cointegration approach. The mean barley yield was 11.47 quintal per hectare. The Long run bounded test for cointegration among the variables show signal of a long-run relationship with a short run among climate change, fertilizers applied and barley yield per hectare. Based on the value of adjusted R 2 , the explanatory variables explained almost 76% of the variation in the yield of barley. In the long run estimates every 1% rise in current average dap decrease the yield per hectare of barley by 28.76% at citrus paribus and a 1% rise in current precipitation and rainfall increase the yield of barley by 2.768% and 0.41% respectively keeping the effect of one variable to the other constant. The speed of adjustment is -0.381557 which is highly significant indicating the speed of the adjustment back to the long run equilibrium after a short run shock.
Ethiopia is the only country that produces teff (Eragrostis tef) in the world, but the production of teff is still low compared to other cereal crops. The main purpose of this study was to evaluate the impacts of organic and inorganic fertilizers on teff yield between 1995 and 2017 using an autoregressive distributed lag with co-integration approach. The Phillips Peron test and the Augmented Dickey-Fuller test for time series stationary checking and capturing serial correlation were used, whereas the Breusch Godfrey Lagrange multiplier and the cumulative sum test were used for determining the autocorrelation of residuals and the stability of coefficients. The result showed that the average yield of teff was 11.25 quintals per hectare, and the bounded F-test for co-integration among the variables does not show evidence of a long-run relationship between fertilizers applied and teff yield per hectare. The quantity of urea applied had a positive and significant impact on the yield of teff, and the quantity of di-ammonium phosphate (DAP) application had a negative impact in the short run. In conclusion, there was no co-integration between the yield of teff crops and fertilizer types such as urea and di-ammonium phosphate, which indicates that the quantity of urea fertilizer used for the production of teff has a positive relationship while the quantity of DAP fertilizer had an indirect relationship. Hence inorganic fertilizer like DAP is negatively correlated with the production of teff while organic fertilizer (urea) is positively correlated.
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