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International Journal of Applied Agricultural & Horticultural Sciences
  • 12 May, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 11 (2 & 3) : March-June 2020 issue
Green Farming Vol. 11 (2 & 3) : 135-138 ; March-June, 2020
Correlation and path coefficient analysis on different yield components in Brassica rapa germplasm accessions collected from Uttarakhand hills
TABASSUMa1*,  A.S. JEENAa2,  ARVIND SINGH NEGIb3  and  DEEPAK KOUJALAGIc4
aDepartment of Genetics and Plant Breeding, College of Agriculture, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar - 263 145, Udham Singh Nagar (Uttarakhand)
bSchool of Agriculture, Graphic Era Hill University, Dehradun - 248 002 (Uttarakhand)
cDepartment of Agriculture, Govt. of Karnataka, Bangalore (Karnataka)
Designation :  
1Ph.D. Scholar *(tabassum12081992@gmail.com),  2Professor,  3Asstt. Professor,  4Agriculture Officer
Subject : Crop Genetics and Plant Breeding
Paper No. : P-7842
Total Pages : 4
Received : 14 February 2020
Revised accepted : 11 March 2020
First Page
Citation :

TABASSUM, A.S. JEENA, ARVIND SINGH NEGI and DEEPAK KOUJALAGI. 2020. Correlation and path coefficient analysis on different yield components in Brassica rapa germplasm accessions collected from Uttarakhand hills. Green Farming  Vol. 11 (2 & 3) : 135-138  ;  March-June, 2020.

ABSTRACT
Present investigation was carried out using thirty three germplasm accessions along with three checks in Randomized Block Design with two replications. Data were recorded for eight quantitative characters including seed yield per plant and subjected to statistical analysis for estimation of inter relationship among yield components and its causes. Results showed that seed yield per plant had significant positive association with shoot length, plant height, siliqua length and number of seeds per siliqua at both genotypic and phenotypic level. It is evident from the results that the genotypic correlation co-efficient were higher than the corresponding phenotypic correlation co-efficient, indicated a strong inherent association between the characters studied. Path co-efficient analysis revealed that plant height, shoot length, siliqua length and number of seeds per siliquae had direct positive effects, indicating main cause of positive correlation of these traits with seed yield per plant. These results suggested that during selection more emphasis should be given on plant height, shoot length, number of seeds per siliqua and number of siliqua per plant to develop desirable plant types having high seed yield.
Key words :
Brassica, Correlation coefficient, Direct effect, Indirect effect, Path coefficient.