scholarly journals Estimation of Correlation and Path Analysis between Seed Yield and Various Quantitative Traits in Black Sesame (Sesamum indicum L.)

2021 ◽  
Vol 10 (01) ◽  
pp. 893-901
Author(s):  
Ayushi Jaiswal ◽  
Rajani Bisen
Keyword(s):  
Path Analysis ◽  
Seed Yield ◽  
Quantitative Traits ◽  
Sesamum Indicum ◽  
Correlation And Path Analysis

Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur

2018 ◽  
Author(s):  
M. Samuel Jeberson ◽  
K. S. Shashidhar ◽  
Amit Kumar Singh
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Quantitative Traits ◽  
Principal Component ◽  
Yield Attributes ◽  
Eigen Values ◽  
Correlation And Path Analysis ◽  
And Cluster Analysis ◽  
100 Seed Weight ◽  
Selection Of

Analysis of genetic variability, heritability, correlation, path analysis, principal component and cluster analysis was carried for 25 blackgram genotypes grown in the foothills of Manipur. The results showed that phenotypic coefficients of variability recorded were higher than the genotypic coefficients of variability, irrespective of traits, demonstrating the effect of environment thereon. The present study revealed that the heritability (bs) estimates were maximum (>50%) for the traits such as days taken to attain the 50% flowering, number of clusters/plant, number of pods/plant and 100 seed weight. The correlation and path analysis proved the selection of the yield attributes in blackgram based on the characters, viz., number of pods/plant and number of cluster/plants. The first three principal components, having the Eigen values more than 1, contributed 84.52% towards variability among the 25 genotypes screened for quantitative traits. Based on the average linkage, 25 genotypes were grouped into five (5) clusters.

scholarly journals Character association and path analysis studies on seed yield and its yield attributing traits in Kharif sesame (Sesamum indicum L.)

2021 ◽  
Vol 17 (2) ◽  
pp. 385-389
Author(s):  
Dhanendra Kumar ◽  
Roshan Parihar ◽  
D.J. Sharma ◽  
A.P. Agrawal ◽  
Pallavi Manher ◽  
...  
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Direct Effect ◽  
Seed Yield ◽  
Crop Improvement ◽  
Sesamum Indicum ◽  
Research Station ◽  
College Of Agriculture ◽  
Character Association ◽  
Days To Maturity

The experiment was carried out to determine the character association and path analysis with 20 genotype including national check namely GT-10, TKG-22, zonal check JTS-8. The genotype was grown in (RBD) design with 3 Replication during Kharif 2020 at BTC College of Agriculture and Research station Bilaspur CG. The data were collected for nine quantitative and yield attributing traits. The correlation co-efficient analysis is the index of relationship among two variables. These have been dealing in all possible combinations for important traits at genotypic and phenotypic levels. Seed yield plant-1 was highly significant and positively correlated with plant height, followed by number of primary branches plant-1, capsules length, number of capsules plant-1, number of seed capsule-1 days to maturity at genotypic and phenotypic levels. Path analysis at phenotypic level among the characters studied, plant height (cm) had the highest direct effect (0.7479) towards seed yield per plant followed by number of primary branches plant-1 (0.5868) capsule length (0.3827) no of capsule plant-1 (0.3521) number of seed capsule-1 (0.2818) days to maturity (0.289) negative direct effect were recorded for days to 50% flowering (-0.0327) 1000 seed weight (- 02147). Demonstrating the fact that there was a real and positive connection between these characters will help determine which type of character is needed for crop improvement.

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