Genetic Variation, Heritability, Phenotypic and Genotypic Correlation Studies for Yield and Yield Components in Promising Barley Genotypes

Al-Tabbal, Jalal A.; Al-Fraihat, Ahmad H.

doi:10.5539/jas.v4n3p193

Cited by 62 publications

(65 citation statements)

References 17 publications

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“…High heritability estimates for yield/plant, plant height, day to 50% flowering, biomass and number of tillers, indicated a high response to selection in these traits. Similar results were also reported by Al-Tabbal et al, 2012;Dutta et al, 2013;Rafii et al, 2014, which support the present findings. Heritability in broad sense and the genetic advance are also important selection parameters.…”

Section: Discussionsupporting

confidence: 83%

Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits

Konate¹,

Zongo²,

Kam³

et al. 2016

Afr. J. Agric. Res.

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In order to evaluate genetic variability of agro-morphological traits and also determine the correlation between grain yield with its components in rice lines, 17 recombinants inbred lines, their parents and a check variety were grown in research station of Africa rice center in Benin republic during two consecutive years 2013 and 2014. The experiments were laid out in a randomized complete block design with four replications. Phenotypic coefficients of variance were higher than genotypic coefficients of variance in all the characters across the two years. High heritability in broad sense (H 2 ) estimates were obtained for biomass (68.77%), date of 50% flowering (98.11%), plant height (81.94%), leaf area (82.90%), number of panicles (64.40%), leaf dry weight (72.91%), root weight (67.43%) and yield/plant (62.23%) suggesting that the traits were primarily under genetic control. A joint consideration of broad sense heritability (H 2 ) and genetic advance as per cent mean expected (GAM) revealed that leaves dries weight and roots weight combined high heritability and high GAM. Furthermore, high (H 2 ) and high GAM recorded in these characters could be explained by additive gene action. However, high estimates (H 2 ) combined with moderate GAM recorded for biomass, day to 50% flowering, leaf area, number of panicle and yield/plant could be due to non-additive gene effect. Grain yield/plant recorded positive and significant correlation with stem weight (r=0.5262) and biomass (r=0.9291). This result indicates that selection based on these two characters will be highly effective for yield improvement in rice.

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Section: Discussionsupporting

confidence: 83%

Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits

Konate¹,

Zongo²,

Kam³

et al. 2016

Afr. J. Agric. Res.

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show abstract

“…High heritability estimates for those traits indicated a high response to selection in these traits. Similar results were also reported by (Al-Tabbal et al, 2012;Dutta et al, 2013;Raffi et al, 2014), which support the present findings.…”

Section: Estimate Of Genetic Parameterssupporting

confidence: 83%

“…This result indicates that these characters could be easily improved by selection. The most important function of the heritability in the genetic study of quantitative characters is its predictive role to indicate the reliability of the phenotypic value as a guide to breeding value (Falconer andMackay 1996 andAl-Tabbal et al, 2012). High heritability estimates for those traits indicated a high response to selection in these traits.…”

Section: Estimate Of Genetic Parametersmentioning

confidence: 99%

Genetic variability analysis for various yield attributing traits in rice genotypes

Rashid

Nuruzzaman

Hassan

et al. 2017

J Bangladesh Agric Univ

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An experiment was conducted using a randomized complete block design to estimate genetic variability of ten rice genotypes. Analysis of variance for yield and yield contributing traits showed significant (p<0.01) variation among the genotypes. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the traits were influenced by environment. The magnitude of difference between phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was less for the traits indicating little influence of environment. The higher estimates of PCV and GCV were observed for number of filled grains panicle -1 (27.53; 26.84), number of unfilled grains panicle -1 (26.76;25.28) and plant height (23.14; 23.00) indicates possibility of genetic improvement through direct selection for these traits, while days to 50% flowering, days to maturity, panicle length, number of effective tillers plant -1 , fertility (%), 1000 Seed weight and yield panicle -1 showed low PCV and GCV values indicating the need for creation of variability by hybridization or mutation followed by selection. High heritability values (>60%) along with high genetic advance and genetic advance as percentage of mean were found for all the traits indicating prevalence of additive gene action, which provides good scope for further improvement by selection.

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“…The phenotypic variance explicates the total variance among phenotypes tested in different environments of interest to the plant breeder while the total genotypic variance explains the portion of phenotypic variance attributable to the failure of homogeneity among genotypes in different environments (Sujiprihati et al, 2003). The heritability measures the value of selection for a particular trait in various types of progenies (Al-Tabbal et al, 2012;Lule et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…This can successfully be achieved if the genetic parameters which govern inheritance of important agronomic traits are established (Mahiboobsa et al, 2012). In addition, the proper characterization of the physiological traits and their relationships with maize yield and yield components coupled with utilization of the revealed genetic variability could lead to improvement and broadening of the diversity of the maize gene pool (Alake et al, 2008;Al-Tabbal et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability and Correlation Studies of Grain Yield and Related Agronomic Traits in Maize

Nzuve¹,

Githiri²,

Mukunya³

et al. 2014

JAS

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A total of fourty two maize hybrids produced through a full diallel mating design and seven parental inbred lines were evaluated in three sites located at different agro-ecological zones in Kenya to determine the genetic parameters governing the inheritance of grain yield and related agronomical traits. The genetic parameters studied among the traits included the mean performance, genotypic variances, phenotypic variances, genotype by environment variances, broad sense heritability and phenotypic and genotypic correlation coefficients. Significant differences were recorded for all traits studied thereby revealing the diversity of the maize genotypes. The grain yield and days to maturity which showed high heritability had low genotypic variances suggesting the involvement of non-additive gene action which could be utilized through heterosis breeding. Ear height and plant height showed the highest heritability and high genotypic variances suggesting the preponderance of additive gene action. Grain yield was positively and strongly correlated with ear height and plant height. The tall plants with high ear placement gave better yields and this could be attributed to the high dry matter accumulation function carried out by the high number of leaves possessed. The positive relationships observed in this study imply that the desirable traits in these hybrids could be exploited in further breeding activities for the development of composites and synthetics for the resource constrained maize farmers who cannot access hybrid seeds every year.

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Genetic Variation, Heritability, Phenotypic and Genotypic Correlation Studies for Yield and Yield Components in Promising Barley Genotypes

Cited by 62 publications

References 17 publications

Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits

Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits

Genetic variability analysis for various yield attributing traits in rice genotypes

Genetic Variability and Correlation Studies of Grain Yield and Related Agronomic Traits in Maize

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