Variance of Heritability Ratios Estimated from Phenotypic Variance Components

Gordon, Ian; Byth, D. E.; Balam, L. N.

doi:10.2307/2556156

Cited by 33 publications

(35 citation statements)

References 24 publications

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“…The standard error of variance components were computed using the following equation (Gordon et al 1972): where: nt = the divisor appropriate in the estimator of at2 MS,, = the uth mean square in the estimator of at2 f, = the degrees of freedom of the uth mean square. The standard deviation of the genetic correlations (a(rA)) were computed using the following equation (Falconer 1970): where: r~ = genetic correlation estimate h2, = heritability estimate of the character x h2, = heritability estimate of the character y…”

Section: Resultsmentioning

confidence: 99%

Heritability and genetic correlations of wood characters of Upper Ottawa Valley white spruce populations grown in Quebec

Corriveau¹,

Beaulieu²,

Daoust³

1991

The Forestry Chronicle

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RCsumCThe degree of inheritance and the genetic correlations of white Le degrC de transmissibilitC et de correlation gCnCtique des spruce wood characters were studied from 39 half-sib families caractkristiques du bois de I'Cpinette blanche a CtC CtudiC, 19 ans of eight populations from the Upper Ottawa Valley, 19 years aprbs plantation. Trente-neuf demi-fratries issues de huit popuafter planting. The results indicated that these characters differ lations ont CtC CchantillonnCes dans la vallCe de la rivibre Outsignificantly among half-sib families. Furthermore, the study aouais. Les rCsultats obtenus indiquent que les caractkristiques showed that white spruce wood characters are genetically related.de bois des demi-fratries diffirent significativement. De plus, Strong genetic correlations exist between the characters of inner les caractiristiques du bois de 1'Cpinette blanche sont gCnCtiquewood and those of outer wood. Moderate to strong genetic conment likes. Une liaison gCnCtique forte existe entre les caractrol of outer wood characters was found while inner wood tkristiques du bois prbs de la moelle d'une part et celles du bois characters were found to be much more influenced by environprbs de 1' Ccorce d'autre part. I1 a CtC dCmontrC que les caracmental factors. Expected genetic gains from a sequential twotkristiques du bois prbs de I'Ccorce sont sous fort contr6le gCnCstep selection strategy were calculated.tique alors que celles du bois prbs de la moelle sont davantage influencCes par les conditions environnmentales. Les gains gCnttiques espCrCs d'une sClection en deux Ctapes ont CtC calculCs.

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Section: Resultsmentioning

confidence: 99%

Heritability and genetic correlations of wood characters of Upper Ottawa Valley white spruce populations grown in Quebec

Corriveau¹,

Beaulieu²,

Daoust³

1991

The Forestry Chronicle

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“…Negative variances were adjusted to zero (Robinson et al, 1955;Borojevic, 1990). Partial analysis of variance and expected mean of squares (EMS) were calculated following Borojevic (1990), Gordon et al (1972) and Shimelis and Shiringani (2010) as presented in Table 3. The broad sense heritability (H 2 ) estimates were calculated from the phenotypic variance (σ …”

Section: Discussionmentioning

confidence: 99%

Variance components and heritability of yield and yield components of wheat under drought-stressed and non-stressed conditions

Mwadzingeni¹,

Shimelis²,

Tsilo³

2017

Aust J Crop Sci

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This study estimated the variance components and heritability of yield and yield related traits of a population of 96 diverse bread wheat genotypes under drought-stressed and non-stressed conditions. The genotypes were evaluated across eight testing environments during the 2014/2015 and 2015/2016 growing seasons using an alpha lattice design with two replications. Combined analysis of variance and variance components were analysed following the General Linear Model (GLM)'s procedure. Results indicated the presence of significant effects of genotypes, seasons, sites, and water regimes and their interactions. From the eight testing conditions, high levels of genotypic variance (σ2g) were estimated for spike length (73%), number of spikelets per spike (44.19%), plant height (51.26%), number of kennels per spike (32.98%), number of days-to-heading (44.24%) and thousand seed weight (22.98%), resulting in high broad-sense heritability estimates of > 0.50. Conversely, genotypic variation was relatively moderate for the number of days to maturity, grain yield and number of productive tillers per plant, contributing to 15.03%, 8.46% and 6.13% of the total variation, respectively. The heritability estimates of the later traits were 20% ≤ H2 < 50% which may limit their selection gains under droughtstressed environments. Further, quantitative trait loci analysis and progeny testing are required to discern the number of genes and associated genetic effect and to pinpoint genomic regions in the tested wheat genetic resources for effective breeding for drought tolerance.

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“…The standard errors of heritability estimates were computed following procedures of Gordon et al (1972).…”

Section: Statistical Proceduresmentioning

confidence: 99%

Susceptibility of safflower lines to head rot and leaf spot disease

Silva

Gordon

1986

New Zealand Journal of Experimental Agriculture

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Ten safflower (Carthamus tinctorius L.) genotypes were evaluated for susceptibility to head rot (caused by Botrytis cinerea Pers. : Fr.) and leaf spot disease (caused by Alternaria and Stemphylium species) in three locations in the Manawatu district. Leaf spot disease had not previously been recorded in New Zealand. Genotypic variance components were significant, with broad sense heritability values for susceptibility to head rot and leaf spot disease being 0.20 and 0.46 respectively. The local cuItivar 0-22 showed some resistance to head rot disease, whereas the low hull lines, VFstp-I and Partial-hull, were highly susceptible. Two genotypes, PI 262437 and PI 306684, which exhibited high resistance to leaf spot disease could be useful for the incorporation of disease resistance into commercial cuItivars.

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Variance of Heritability Ratios Estimated from Phenotypic Variance Components

Cited by 33 publications

References 24 publications

Heritability and genetic correlations of wood characters of Upper Ottawa Valley white spruce populations grown in Quebec

Heritability and genetic correlations of wood characters of Upper Ottawa Valley white spruce populations grown in Quebec

Variance components and heritability of yield and yield components of wheat under drought-stressed and non-stressed conditions

Susceptibility of safflower lines to head rot and leaf spot disease

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