Correlation and Path Coefficient Analysis for Morphological and Biochemical Parameters in Sunflower (Helianthus Annuus L.)

Abstract

The aim of this study was to evaluate the best performing lines in sunflower on the basis of phenotypic and genotypic correlation so that we can find out the which trait directly or indirectly effect the yield and quality of the sunflower because being an breeder our main aim is yield and quality and the lines which are performing best can be further used in the breeding programs. Sunflower is a valuable oil producing crop because it contains good quality oil composition and can be grown twice in a year. There is scarcity of oil in our country so that there is requisite to heighten the yield of sunflower in order to exploit its share in oilseed sector. The study was conducted at the research field of Rajawala farm, University of Agriculture, Faisalabad during year 2015–16 to study the correlation among yield related traits, oil and protein content in Sunflower (Helianthus annuus L.). 20 sunflower lines were sown in randomized complete block design with three replications. Data was assessed at maturity for plant height, leaves per plant, leaf area, head diameter, internode length, 100-achene weight, achene yield per plant, oil contents and protein contents. Genotypic and phenotypic correlation was estimated among these traits. The recorded data was subjected to statistical analysis of variance, correlation and path coefficient analysis. The line G-16 showed best performance for leaf area, head diameter and achene yield per plant. Line G-20 was good in 100 achene weight. The above mentioned lines could be used in future breeding programs for effective improvement in yield of sunflower. This data was helpful to select superior lines and these lines may also be used in further hybridization program to get better yield, oil and protein contents.

Investigation of Correlation Between Traits and Path Analysis of Sunflower (Helianthus Annuus L.) Genotypes

“…Same trend was reported by Habibullah et al, (2007) and Sowmya et al, (2010). Plant height showed high positive indirect effect via head diameter but high negative indirect effect via days to 50 % flowering as reported by Tahir et al, (2002) and Habibullah et al, (2007).…”

A study of correlations and path analyses of some traits in sunflower parental lines

“…Oil content is very important parameter as breeding point of view. According to Tahir et al (2019) achene oil content had positive direct effect (0.37) on achene yield per plant. Same authors concluded positive indirect effects on oil content were observed through leaf area and protein content; while plant height, internode length, leaves per plant, head diameter and 100 achene weight showed negative indirect effects; Tyagi (2011) and Chambo et al (2017) also reported same results.…”

“…Same authors concluded positive indirect effects on oil content were observed through leaf area and protein content; while plant height, internode length, leaves per plant, head diameter and 100 achene weight showed negative indirect effects; Tyagi (2011) and Chambo et al (2017) also reported same results. Therefore, selection of this parameter would be effective to increase the achene yield per plant by improving the seed quality (Tahir et al, 2019).…”

“…Simple correlation analysis cannot give details about relationship of yield and yield related traits so that path coefficient analysis is used. It is a tool that splits the correlation coefficient into its direct and indirect effects (Tahir et al, 2019). Path coefficient analysis has an advantage over estimation of simple correlation coefficients because it allows partitioning of the correlation coefficient into its components (Supriya et al, 2017).…”

Phylogenetic relationships among Egyptian species of Anthemideae (Asteraceae) using ITS markers

“…Other large subfamilies include Carduoideae and Cichorioideae each with more than 2000 species (Robinson 2004(Robinson , 2005. Anthemideae is the seventh largest tribe of the Asteraceae with approximately 109 genera and 1741 species worldwide grown (Tahir et al 2002). Numbers of genera and species have been gradually increasing annually.…”