scholarly journals Studies on genetic parameters, correlation and path analysis for yield attributes in the maintainer and restorer lines of pearl millet [Pennisetum glacum.(L.) R. Br]

2019 ◽  
Vol 10 (2) ◽  
pp. 382
Author(s):  
R. Rasitha ◽  
K. Iyanar ◽  
R. Ravikesavan ◽  
N. Senthil
Keyword(s):  
Path Analysis ◽  
Pearl Millet ◽  
Genetic Parameters ◽  
Yield Attributes ◽  
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 Correlation and path analysis in pearl millet [Pennisetum glaucum(L). R. Br.] hybrids

2020 ◽  
Vol 8 (5) ◽  
pp. 2553-2555
Author(s):  
Ravina Beniwal ◽  
PC Gupta ◽  
AK Sharma ◽  
Saroj Choudhary ◽  
Sangeeta Pal
Keyword(s):  
Path Analysis ◽  
Pearl Millet ◽  
Pennisetum Glaucum ◽  
Correlation And Path Analysis

scholarly journals Correlation and Path Analysis of Yield Components in Rice (Oryza sativa L.) under Irrigated and Reproductive Stage Drought Stress Condition

2020 ◽  
pp. 60-68
Author(s):  
Sadia Perween ◽  
Anand Kumar ◽  
Fariha Adan ◽  
Jitesh Kumar ◽  
Prince Raj ◽  
...  
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Path Analysis ◽  
Stress Condition ◽  
Reproductive Stage ◽  
Yield Attributes ◽  
Drought Stress Condition ◽  
Biological Yield ◽  
Selection For ◽  
Correlation And Path Analysis

Aim: The current experiment was conducted to study correlation and path analysis among morphological traits and their contribution towards yield under irrigated and drought stress condition using forty eight diverse rice genotypes. Study Design: The experiment was studied in three replications using Randomized Block Design. Place and Duration of Study: The research was carried out during Kharif 2018 at Rice Research Farm, Bihar Agricultural University, Sabour (Bhagalpur), India. Methodology: The experiment was conducted in two different sets; irrigated and drought stress condition. The yield and yield attributes were recorded under both the conditions to conduct the correlation and path analysis. Results: The analysis of variance revealed that genotypes significantly varied in yield and yield related traits. In addition, growth and yield attributes such as effective tillers per hill, biological yield, harvest index (%) and number of fertile grains per panicle were significantly and positively correlated with grain yield per plant under irrigated as well as reproductive stage drought stress condition. It was observed that total number of grains per panicle, number of fertile grains per panicle and biological yield had high positive direct effect on grain yield per plant in both irrigated (control) as well stress condition, indicating true relationship of these characters with grain yield and direct selection for these characters will be rewarding. In rest of the characters studied, correlation was mainly due to indirect effects through component characters and hence indirect selection will lead to yield improvement in rice. Conclusion: The potential for direct and indirect selection for reproductive stage drought stress tolerance using the associated characters may be useful to the breeder to formulate appropriate breeding plans for the selection of the genotype which tolerate high temperature condition.

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