~ 287 ~ Journal of Pharmacognosy and Phytochemistry 2020; 9(5): 287-291 E-ISSN: 2278-4136 P-ISSN: 2349-8234 www.phytojournal.com JPP 2020; 9(5): 287-291 Received: 01-05-2020 Accepted: 09-07-2020 Jai Vardhan Raj Research Scholar, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India Rajneesh Srivastava Research Scholar, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India VM Prasad Professor, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India Vijay Bahadur Head, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India Corresponding Author: Jai Vardhan Raj Research Scholar, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India Studies on correlation and path analysis for horticultural traits in Garden pea ( Pisum sativum L. var. Hortense) Jai Vardhan Raj, Rajneesh Srivastava, VM Prasad and Vijay Bahadur Abstract Garden pea (Pisum sativum L. var. hortense) is an important legume vegetable grown throughout the world. The materials for the present study comprised of twenty germplasm of garden pea, which were planted in Randomized Block Design and replication thrice at vegetable Research form, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj. Correlation coefficients were calculated for all quantitative character combinations at phenotypic and genotypic level. The correlation studies provide information about association between any two characters. Height of plant, number of branches per plant, moisture per cent, number of nodes per plant and number of pods per plant exhibited significant correlation for pod yield and these can be considered for identification of high yielding genotypes. The path analysis revealed that focusing on height of plant and number of branches per plant could improve breeding efficiency of pea. Keywords: Garden pea, genotype, correlation, path analysis Introduction Garden pea [Pisum sativum L. var. hortense, 2n=2x=14], belongs to the family Fabaceae is an important legume vegetable grown throughout the world. India ranks third in area after China and USSR under pea (vegetable and pulse pea) cultivation. In India, the total area covered by pea is 0.46 million hectare with the production of 4.24 million tons whereas, productivity is 9.5 tons per hectare. Uttar Pradesh is the highest producing state in India. In Uttar Pradesh, area under this crop is 0.178 million hectare with the production of 1.953 million tons and productivity 10.97 tons per hectare (Anonymous, 2016) [2] . Evaluation of germplasm is the basic tool for identification of important genotypes. The correlation studies provide information about association between any two characters. On the other hand, yield is a complex character and is associated with some yield contributing traits. Yield is not only a polygenecally controlled trait, but it is also directly or indirectly constituted by the associated yield characters. The path coefficient analysis provides the portioning of correlation coefficients into direct and indirect effect giving the relative impotence of each causes factors. The understanding of association of characters is of prime impotence in developing an efficient breeding programme. Materials and Methods The experiment was carried out during the winter season of 2014-15 and 2015-16, at vegetable Research form, Department of Horticulture, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj. The materials for the present study comprised of twenty germplasm of garden pea, which were planted in Randomized Block Design and replication thrice. Correlation coefficients were calculated for all quantitative character combinations at phenotypic and genotypic level by the formula given by Al Jibouri et al. (1958) [1] . The direct and indirect contribution of various characters to yield was calculated through path coefficient analysis as suggested by (Wright 1921) [14] and elaborated by Dewey and Lu (1959) [4] . Result and Discussion Correlation coefficients analysis Yield is a complex character and influenced by several genetic factors interacting with environment. Therefore, success of any breeding programme for its improvement depends on the existing genetic variability in base population and the efficiency of selection. After understanding the nature and extent of variability for pod yield and related growth characters, it is desirable to ascertain the nature and magnitude of association among these traits for improvement of complex trait like yield which serves twin purpose for breeders viz., selection