EconPapers    
Economics at your fingertips  
 

GENETIC VARIABILITY, CORRELATION AND PATH COEFFICIENTS OF YIELD AND ITS COMPONENTS ANALYSIS IN PUMPKIN (Cucurbita moschata Duch Ex Poir)

G.M. Mohsin, M.S. Islam, M.S. Rahman, L. Ali and M. Hasanuzzaman

International Journal of Agricultural Research, Innovation and Technology (IJARIT), 2017, vol. 07, issue 01

Abstract: Genetic variability, correlation and path coefficient were studied for yield and yield component traits in twenty one diverse genotypes of pumpkin. Highest genotypic coefficient of variation was recorded for fruit length (cm), single fruit weight (kg), Brix (%) and yield per plant (kg). Heritability estimates in broad sense were higher for almost all the characters. The characters namely, fruit length, single fruit weight, yield per plant and brix% had high genotypic coefficient of variation coupled with heritability gave high genetic advance expressed as percentage of mean ranged from 76.84 to 96.06 which indicated that these characters were less influenced by environment confirming additive gene action, and therefore, selection of these characters would be more effective for yield improvement of pumpkins. Total six traits likely fruit length, fruit diameter, flesh thickness, single fruit weight and number of fruits per plant were positively and significantly associated with yield per plant. Path coefficient analysis also revealed maximum contribution of single fruit weight (0.869) to yield and this was followed by the contribution of number of fruit per plant (0.527) at genotypic level.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/305419/files/3 ... 26-1-10-20170725.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:ijarit:305419

DOI: 10.22004/ag.econ.305419

Access Statistics for this article

More articles in International Journal of Agricultural Research, Innovation and Technology (IJARIT) from IJARIT Research Foundation
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:ijarit:305419