Abstract

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.

Highlights

  • The wheat is primarily belonging to the Poaceae family

  • The value of adjusted R2 (0.645) shows with the present adjustment of the parameter in the regression model the model accounts nearly for same variation in the data set without adjusting parameter

  • According to the results showed that harvest index and biomass had positive direct effect on grain yield (0.552** and 0.57**, respectively), whereas number of fertile spikes had a negative direct effect on grain yield (0.449**)

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Summary

Introduction

The wheat is primarily belonging to the Poaceae family. The wheat is the 2nd largest cereal crop in agriculture sector of Pakistan after the livestock sector. In the crop year 2019 and 2020 crop subsector contributed 8.9% to agriculture sector and overall, 1.6 in the GDP of Pakistan. Wheat is the grain crop it provides about half of the calories (48%) great in the daily diet of the people (GOP, 2018). As majority of the farmers are face problem of money either they are incognizant of proper production technology or cannot have the funds for to go behind improved production practices (Hussain et al 2012; Sarfraz et al, 2020). Analysis of determinants of wheat productivity is very most important. The Punjab province contributes 78% to the wheat production Pakistan. About 39% of the whole cropped region is to be paid to this crop every year (GOP, 2019). While to explore factor the specific objective of the study was discuss as under

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