Abstract
Shortage of information on association of traits is one of the problems in fenugreek productivity. Field experiment was implemented at Jamma district of South Wollo Administrative Zone of Amhara National Regional State, in 2018/19 main rainy season to examine the nature and extent of correlation, direct and indirect effects among yield and yield related traits. Sixty-two nationally collected fenugreek genotypes along with standard and local checks were evaluated in simple lattice design. Seed yield plot-1 was significantly and positively correlated to biomass yield-1 (r = 0.5) and harvest index (r = 0.6***) at genotypic level. Seed yield was also significantly and positively correlated with harvesting index (r = 0.6***) and weakly and negatively (r = -0.01) correlated to biomass yield at phenotypic level. Path coefficient analysis revealed that biomass (0.951), harvesting index (0.283) and pod length (-0.163) had contributed the maximum positive and negative direct effect on seed yield respectively, at phenotypic level. At genotypic level biomass yield ha-1 (0.816) and harvesting index (0.930) had contributed strong positive direct effect and plant height (-0.004) had revealed weak negative direct effect.
Highlights
Fenugreek (Trigonella foenum-graecum L.) is an annual plant in the family Fabaceae, with leaves consisting of three small obovate to oblong leaflets
Phenotypic correlation is the observable correlation between two variables; it includes both genotypic and environment effects and genotypic correlation on the other hand is the inherent association between two variables; it may be either due to a pleiotropic action of genes, linkage or, more likely both (Singh, 1993)
The dual nature of phenotypic correlation makes it clear that the magnitude of genetic correlation cannot be determined from phenotypic correlation (Usman et al, 2006)
Summary
Fenugreek (Trigonella foenum-graecum L.) is an annual plant in the family Fabaceae, with leaves consisting of three small obovate to oblong leaflets. Correlation measures the mutual association between two variables but does not indicate the cause and effect relationship of traits contributing directly or indirectly towards economic yield (Shivanna et al, 2007). The correlations between characters indicate that the gene for the traits are either linked or are influenced by the same differences of environmental conditions (Falconer and Mackay, 1996). Correlation coefficient analysis helps to determine the nature and degree of relationship between any two measurable characters. Yield contributing traits can be ranked and specific characters producing a given correlation can be observed through path coefficient analysis (Ariyo et al, 1973). The use of path coefficient analysis is important to come up with meaningful results of cause and effect. This research is conducted to examine the nature and extent of correlation, direct and indirect effects among yield and yield related traits
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