Usman Shakoor1*, Mudassar Rashid1, Abdul Saboor2, Nabila Khurshid1, Zuhair Husnain2 and Abdul Rehman2

...udy employed vector auto regression models (VAR) along with times series data from 1980 to 2013 for Pakistan to estimate the potential effects of climate change on Maize production. Result professed that average temperature will affect Maize crop negatively bringing about 6% reduction in maize production till the year 2030. Average minimum temperature brought about 9% increases in maize production till 2021. Increase in overall rainfall will also benefits Maiz...

1S. A. Khan and 2S. Jha

Effect of dates of sowing, moisture regimes, varieties and weather factors on incidences of aphid, Lipaphis erysimi (Kalt.) in rape and mustard
...opulation. Weather based regression models, which had coefficients of determination (R2) being significant at 1 % level of significance, were able to account for 59 to 69 % of total variation in aphid population. It is concluded that weather thresholds as identified and regression models developed, along with medium range weather forecasts of 5 days available from India Meteorological Department (IMD), could be useful to for...
Semra Benzer1,* and Recep Benzer2
...eural network and linear regression models goodness of fit. The results of the current study show that ANNs can be a superior estimation tool compared to LWR equation. Thus, as an outcome of the present study, ANNs can be considered as a finer method especially in the growth estimation of the species in biological systems. Another outcome of this study is that crayfish of Uluabat Lake well accommodates itself to the ecologic features of the environment and so ...
Tania Ahmed Shakoori1,*, Muhammad Saqib Saeed2, Asif Hanif2, Saima Mukhtar3 and Ayesha Ghauri4 
...r. Three multiple linear regression models were created with mid maximal expiratory flow, FEV1, and FVC as surrogate markers for lung function in different models. We found that 28 (20.4%) of our COPD patients were frequent exacerbators. All three multiple linear regression models for identifying risk factors for frequent exacerbations were significant (p< 0.001). The model in which mid maximal expiratory flow was used as...

Essossinam Ali* 

...n Togo. Tobit and linear regression models were used to analyze the effect of farmers’ risk aversion on fertilizer and DTS uses, and labour allocation, respectively. The results indicate that on average 86.22% of farmers have risk aversion behaviors. Widening the land devoted to maize cultivation would increase farmers’ risk aversion while increasing the land devoted to sorghum, tuber and cotton crops would reduce it. Being risk averse leads farmer...
Nazia Qamar* and Sher Khan Panhwar
... length and weights. The regression models estimate for otolith dimensions and fish body parameters estimates can be useful for studies on population structure of five important carangids species.
...
Hande Kucukonder1, Pinar Celebi Demirarslan1*, Sezai Alkan2 and Özgür Baris Bırgul3
...alternative to nonlinear regression models in growth analysis.
...

Muhammad Naveed Anjum1, Abdur Rehman1*, Muhammad Niamatullah Khan1, Raheel Saqib2, Mohammad Fayaz3 and Iqbal Javed4

Impact of Microfinance on Socioeconomic Status of Farmers in District Dera Ismail Khan
...istics and simple linear regression models were used. The results of the study highlighted that 72.2% of the farmer’s incomes increases due to microcredit’s facility and due to increase in income, the farmers are able to get more access to the health facilities than before. 82.2% farmer’s response indicated that the microfinance have a positive and significant impact on the children’s educational status and due to microfinance their chi...

Asfand Raheel1, Syed Zulfiqar Ali2, Muhammad Waris2, Muhammad Basharat2, Basheer Ahmed2, Muhammad Arshad Ullah3, Syed Ishtiaq Hyder4 and Taqi Raza4*

...vest decay by developing regression models. Additionally, new packaging materials have been introduced to avoid mechanical injuries and decline the chances of contamination, bruises and decays. Postharvest treatments includes biological agents, fungicides, herbal and natural products, edible coatings and heat treatments can be efficaciously applied in a vast and specific commodity range to prevent great losses.

...
Muhammad Arsalan1, Muhammad Aman Ullah1 and Abdul Waheed2,*
...the relationship. Simple regression models were fitted to predict live body weight from 13 other morphological traits as independent variables. Descriptive statistics of body indices and morphological traits were also reported. The variation pattern was observed by coefficient of variation in both body indices and morphological traits. In body indices less variation was observed in BeronCrevit index, having a smallest coefficient variation of 8.50% and high va...

Muhammad Islam1,4*, Farrukh Shehzad1, Muhammad Omar2, Abdul Qayyum3 and Rabia Siddiqui4

...pound growth exponential regression models (CGREM) with linear regression models (LRM) to predict the wheat area, yield and population explosion. The historical data are collected from 1950 to 2020 and ML models are deployed using the 80% train and 20% test datasets. Various combinations of train test split have been applied to check the precisions of data partitions subset on the deployed models. ML model predict that the w...

Sarhad Journal of Agriculture

June

Vol. 38, Iss. 2, Pages 388-758

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