522 Journal of Basic & Applied Sciences, 2017, 13, 522-526 ISSN: 1814-8085 / E-ISSN: 1927-5129/17 © 2017 Lifescience Global Analysis of Correlation and Regression among M 2 Wheat Mutant Population for Yield and its Associated Traits Saima Bano 1 , Arshad Ali Kaleri 1,* , Raheela Keerio 1 , Shabana Memon 1 , Rameez Raja Kaleri 2 , Rabab Akram 1 , Abdul Latif Laghari 1 , Irfan Ali Chandio 1 and Sajida Nazeer 1 1 Department of Plant Breeding and Genetics, Sindh Agriculture University Tandojam, Pakistan 2 Department of Animal Breeding and Genetics, Sindh Agriculture University Tandojam, Pakistan Abstract: Crop yield is the resultant product of components character which is not under the control of any single gene, therefore it is necessary for plant breeder to know the relationship between two traits. The present research was conducted to calculate the correlation and regression for yield and yield contributing traits in mutant population of bread wheat. The experiment was conducted at Nuclear Institute of Agriculture (NIA), Tandojam, during rabi season 2015- 2016, in split plot design with three replications. Material under study was two wheat varieties (T.D-1 and ESW-9525). These two wheat varieties were evaluated along with control for yield and yield associated traits under normal field conditions. Mean square showed that there were significant differences between wheat varieties for days to 75% heading, days to 75% maturity, plant height (cm), spikelets spike -1 , grains spike -1 , 1000 grain weight (g), biological yield plant -1 (g), harvest index (%), spike length (cm) and grain yield plant -1 (g). Number of grains spike -1 showed positive and highly significant correlation with spike length, spikelets spike -1 , 1000 grain weight and biological yield of plant -1 . Significant and positive with days to 75% maturity and harvest index. However, negative correlation was found with height of plant and non-significant but negative with the trait of days to 75% heading. Grain yield plant -1 showed highly positive highly significant association with grains spike -1 , number of spikelets spike -1 , length of spike, harvest index and biological yield plant -1 and negative with plant height. Approximately 85.9%, 65.2%, 59% and 24.3% variation in grain yield plant -1 is due to grains spike -1 , biological yield plant -1 , harvest seed index and height of plant, respectively. This shows that taller plants produce lesser grain yield. Keywords: Wheat, Correlation, Regression, Mutant, Yield. INTRODUCTION No any other crop is grown on the soil in the world as wheat and it is very closer near to 3 rd after rice and corn in the total production of world. Wheat is such a crop that can be adapted in any environment and it almost cultivated on the places where wind is open and the soils are very dry and very cold for the more tropically inclined rice and corn, that give their performance at intermediate temperature levels. Correlation is the simultaneous variation of two variables. It is often desirable to observe and measure the relationship between two characters. Correlation may be +ve or -ive. +ve correlation shows that increase in a single traits cause simultaneous increase in the other. -ve correlation reflects the increase in one character is associated with a decrease in the other [1]. The selection of genotypes with increased productivity is an essential part of plant breeding programs. The identification and selection of genotypes according to their morphological and physiological traits is an effective approach to breeding for higher yield. The present studies have therefore done to identify the mutant plants for various morphological traits of wheat *Address correspondence to this author at the Department of Plant Breeding and Genetics, Sindh Agriculture University Tandojam Pakistan; Tel: 03002067069; E-mail: Ali.breeder110@gmail.com genotypes in M 2 generation and to investigate the performance and relationship between the yield and its components in the same generation of bread wheat (Triticum aestivum L.) which will be helpful for breeders to overcome constrains in wheat productivity [2] reported that the relationship among yield increasing components influence on the grain yield (GY) direct or indirect way of bread wheat [3]. Evaluated twenty spring wheat varieties were studied to find out genetic variability and genetic association for grain yield and its components. Both phenotypic and genotypic variances were highly significant in all the traits with higher phenotypic variations as usual. Similarly, the low differences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. MATERIALS AND METHODS Present study was conducted to calculate correla- tion and regression for yield and yield components of bread wheat (Triticum aestivum L.) varieties (T.D-1 and ESW-9525) which were sown along with parental lines under field conditions. The experiment was conducted at Nuclear Institute of Agriculture (NIA), Tandojam during rabi season 2015-2016. This research was conducted with three replications in split block design. The crop was planted on 9 th of