scholarly journals Population Parameters and Path-Coefficient Analysis of Tomato Grown under Heat Stress

2017 ◽  
Vol 38 (July-September) ◽  
pp. 600-612
Keyword(s):  
Heat Stress ◽  
Path Coefficient ◽  
Population Parameters ◽  
Path Coefficient Analysis

scholarly journals Variability, Correlation and Path Coefficient Analysis for Agro-morphological Traits in Wheat Genotypes (Triticum aestivum L.) under Normal and Heat Stress Conditions

2021 ◽  
Vol 9 (1) ◽  
pp. 65-74
Author(s):  
Mukti Ram Poudel ◽  
Padam Bahadur Poudel ◽  
Ramesh Raj Puri ◽  
Hema Kumari Paudel
Keyword(s):  
Heat Stress ◽  
Grain Yield ◽  
Direct Effect ◽  
Morphological Traits ◽  
Stress Condition ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Heat Stress Condition ◽  
Positive Direct

Assessment of variability and traits association in crop help to enhance selection efficiency. Therefore, the present investigation entitled “Variability, Correlation and Path Coefficient Analysis for Agro-morphological Traits in Wheat Genotypes (Triticum aestivum L.) under Normal and Heat Stress Conditions” was carried out during winterseason of 2019/2020 at Institute of Agriculture and Animal Science (IAAS), Bhairahawa, Nepal to identify traits that highly contribute to grain yield and suitable for its further improvement. The experiment was laid out following alpha lattice design with two replications. The twentygenotypes of wheat was sown in two different environments viz., irrigated and heat stress in November 29, 2019 and December 25, 2019 respectively. It was found that under normal condition, moderate GCV and PCV were recorded in SW, TGW, NGPS, and WGPS. Under heat stress condition, high GCV and PCV were observed in GY. High heritability and high GAM was observed in TGW & GY, NGPS, WGPS, TGW under normal and heat stress condition respectively. Under normal condition SW exhibited positive correlation and high positive direct effect on GY at genetic level and WGPS at phenotypic level. And under heat stress condition SW exhibited positive correlation and high positive direct effect on GY. Whereas, at phenotypic level, WGPS and PH exhibited high positive direct effect on grain yield. Hence it is clear that spike weight and weight of grains per spike are important traits for grain yield improvement. Int. J. Appl. Sci. Biotechnol. Vol 9(1): 65-74

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

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