Research Article of American Journal of Agricultural Research
Correlation and Path Coefficient Analysis for Agronomical Traits of Lowland adapted Ethiopian Sorghum [Sorghum bicolor (L.) Moench] Genotypes
Tafere Mulualem1, Sentayehu Alamrew2, Taye Tadesse3 & Dagne Wegary4
1, 2Jimma University, College of Agriculture and Veterinary Medicine, P.O.Box, 307, Jimma Ethiopia;3Plant Breeder, Melkassa Agricultural Research Center, P.O.Box, 436 Adama, Ethiopia; 4Plant Breeder CIMMYT, ILRI Campus- P.O.Box, 5689 Addis Ababa, Ethiopia
The association of traits that may exist between or among sorghum characters is essential for breeders. Therefore, the present study is aimed to analyze and determine the traits having greater association with yield utilizing the correlation and path analysis for different traits of early and medium maturing lowland adapted Ethiopian sorghum genotypes. A total of 110 early and medium maturing sorghum genotypes were used in alpha lattice design which is replicated twice at two locations in 2016 cropping season. The results of correlation analysis suggested that the magnitude of genotypic correlation coefficients were higher than the corresponding phenotypic correlation coefficients for most of the traits suggesting that there was inherent relationship between these traits. Grain yield showed significant and positive phenotypic correlation with number of heads per plot (r=0.34**), panicle weight (r=0.19**) and hundred grain weight (r=0.21**). The strongest phenotypic association was observed between days to flowering and days to maturity (r= 0.53**) followed by hundred grain weight and plant height (r= 0.47**). In addition path coefficient analysis provides an effective means of finding direct and indirect causes of association.
Keywords: Correlation, Ethiopian, Path coefficient, Sorghum
How to cite this article:
Tafere Mulualem, Sentayehu Alamrew, Taye Tadess & Dagne Wegary. Correlation and Path Coefficient Analysis for Agronomical Traits of Lowland adapted Ethiopian Sorghum [Sorghum bicolor (L.) Moench] Genotypes. American Journal of Agricultural Research, 2019,4:35.
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