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Major objective of the present study is estimate regression model and Correlation coefficient. The data were collected from the wheat section, Agriculture Research Institute (ARI) Tandojam, regarding various factors influencing on the wheat production. The survey result show that yield has significant positive correlation with the parameters such as the number of tillers per plant, number of seed per spike, length of spike in cm, the number of spikes let per, tiller per hectare and plant height cm. The parameter of wheat number of tillers per plant meter square standard error is (0.569), coefficient is (0.816). T-value is (1.43) and with positively significant is (0.018). The parameter of number of seed per spike standard error is (0.107) coefficient is (0.0811) To determine the effect of dependent and independent T-value of (0.75) with significant (0.4724).The parameter of wheat is length of spike in cm is standard error is (1.704), Coefficient is (1.092), T-value is (0.64) with the positively significant is (0.029) T-value is (2.20) and with positively significant is (0.039).The parameter of tiller per hectare is standard error is (0.026), standardized The Number of spike let per spike with standard error of this parameter (0.5172)coefficient is (1.135), the coefficients beta is (0.041), and T-value of this parameter is (1.73) and with the positively significant value is (0.121). The parameter of wheat is day of heading cm with the standard error is (0.650), the standardized coefficient beta is negative (1.426), the T – value of this parameter is (-2.19) with the weak significant of (0.059). The parameter of wheat is plant height cm standard error is (0.203), with standardized coefficient beta is (0.081), T-value of this parameter is (0.40) with the significant value is (0.697). The parameter of lodging score per hector centimeter with standard error is (0.662), the standard coefficient of beta is (-0.504), T-value of this parameter is (-0.76), with the significant of (0.468).The parameter of number of grains weight in grams with standard error is (0.245) standardized coefficient of beta is (0.106), T-value is (0.43) with the significant value is (0.677). The parameter of wheat is seed index 1000 grains weight with standard error is (3.437) , coefficient is (0.384) , T-value is (0.11) With the significant value is (0.913).The parameter of wheat is plot yield gram with standard error is (0.0215), with coefficients is (-0.036), is T-value of this parameter is (-1.72) with the significant value is (0.124). The Parameter of wheat is nitrogen per hector kilogram with standard error is (0.168), coefficient is (0.1688), is T-value is (1.00) with the significant of (0.345).The parameter of Phosphorus per hack Kg with standard error is (0.333), coefficient of is (-0.138), T-value is this parameter is (-0.42) with the significant of (0.688). It is suggested that the more factors can be studied and different statistical techniques, agronomics practices and different doses of fertilizer can be applied for the high production of wheat crop.

The present study is an attempt to forecast the wheat production in Sindh province of Pakistan using sophisticated statistical techniques. The secondary data regarding area, production and yield of wheat crop were collected for the last thirty years (1984-85 to 2013-14) for estimation and forecasting purposes using time series techniques such as moving averages and exponential smoothing. The estimates for three, five and seven-years moving averages for area were found to have a minimum value of 849.87,863.04, and 890.09 hectares and maximum value of 1129.4,1111.58, and 1109.6 hectares respectively. Likewise, for production, these estimates were found as 2065.57, 2117.7, 2154.3 and 3917.50, 3740.8, 3469.4 tons respectively. So, for as the yield is concerned, the above-mentioned estimates for minimum and maximum were found as 2071.7, 2107.8, 2121 and 3574.0, 3520, and 3414 respectively. Based on the findings of the present study, it is concluded that during the last thirty years the area, production and yield under wheat cultivation showed an increasing trend. In case of forecasting, the area and production under wheat cultivation was increase in the coming year, but the yield under wheat cultivation was considerably decreased due to shortage of irrigation water.

Present research was conducted to observe the effect of climatically changes on agricultural crops, especially focusing on major climatic variable changes such as (temperature and rainfall) on wheat and sugarcane productions. Therefore this study is attempt to examine the climate change impact on production of wheat and sugarcane crops in Hyderabad district to measure the fluctuations every month during last 12 years from 2002 to 2014. Thus the following objectives were studied. To examine climate change (temperature and rainfall) scenario in the study area. To observe climate change impact on sugarcane and wheat crops of Hyderabad district, and to see the effect of temperature on the growth performance of wheat and sugarcane crop since 2002 to 2014. Findings of the study shows positive impact on sugarcane and wheat crop. Moreover 1 oC temperature increases then wheat yield increases 30.04 kgs/acre. Similarly 1oC increase temperature increases sugarcane yield rise by the amount of 450 kgs/acre respectively. Additional, to see the average growth rate from 2002 to 2014, where it reveals that the temperature growth rate was increased 0.6 0C in April. While 1 oC increased in June which is highest growth rate, similarly in July and August were 0.5 0C and 0.5 0C was increased respectively, Kharif temperature having increasing trend. Moreover in Rabi season there is high fluctuation in February which was 0.4 oC. It Is concluded that in last the trend of temperature fluctuations from 2002 to 2014. in the Kharif season temperature in April, May, June, July, August and September were 2.4, 1.25, 6.1, 0.85, 2.75, 3.55, moreover the fluctuations of Rabi season in October, November, December, January, February, March were average 2, 1.42, 1, 2.3, 1.1, and 2.2 respectively.