scholarly journals Genetic variability, heritability and genetic advance for pulp quality parameters of Melia dubia genetic resources

2019 ◽  
Vol 10 (1) ◽  
pp. 14-18
Author(s):  
T. M. Akhilraj ◽  
K.T. Parthiban
Keyword(s):  
Genetic Variability ◽  
Genetic Resources ◽  
Quality Parameters ◽  
Genetic Advance ◽  
Melia Dubia

scholarly journals Genetic variability, heritability and genetic advance of yield components and oil quality parameters in linseed (Linum usitatissimum L.)

2020 ◽  
Vol 8 (1) ◽  
pp. 1768-1771
Author(s):  
Rajanna B ◽  
Gangaprasad S ◽  
Shanker Goud I ◽  
Dushyantha Kumar BM ◽  
Girijesh GK ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Linum Usitatissimum ◽  
Yield Components ◽  
Oil Quality ◽  
Quality Parameters ◽  
Genetic Advance

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. 

scholarly journals Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

2013 ◽  
Vol 41 (2) ◽  
pp. 404
Author(s):  
Ozlem ALAN ◽  
Gulcan KINACI ◽  
Engin KINACI ◽  
Imren KUTLU ◽  
Zekiye BUDAK BASCİFTCİ ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Yield Components ◽  
Sweet Corn ◽  
Block Design ◽  
Sugar Content ◽  
Yield Potential ◽  
Genetic Advance ◽  
Solid Concentration ◽  
Kernel Quality ◽  
Soluble Solid

The objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets.

Genetic variability and association of ISSR markers with some biochemical traits in mulberry (Morus spp.) genetic resources available in India

2007 ◽  
Vol 4 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Prasanta K. Kar ◽  
Prem P. Srivastava ◽  
Arvind K. Awasthi ◽  
S. Raje Urs
Keyword(s):  
Genetic Variability ◽  
Genetic Resources ◽  
Issr Markers ◽  
Biochemical Traits ◽  
Morus Spp

scholarly journals Analyses of Genetic Variability, Character Association, Heritability and Genetic Advance of Tossa Jute (<i>Corchorus olitorius</i>) Genotypes for Morphology & Stem Anatomy

2020 ◽  
Vol 8 (4) ◽  
pp. 99
Author(s):  
Mukul Md. Mia ◽  
Nargis Akter ◽  
Md. Golam Mostofa ◽  
Sheikh Shorif Uddin Ahmed ◽  
Iffat Jahan Nur ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Genetic Advance ◽  
Corchorus Olitorius ◽  
Stem Anatomy ◽  
Character Association
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