A method of estimating broad-sense heritability for quantitative traits in the type 2 modified augmented design

Frank, Maximilian; Jia, Guanqing; Sylvie, Cloutier; Helen, M. Booker; Scott, Dakota; Khalid, Y. Rashid

doi:10.5897/jpbcs2016.0614

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…High values of h 2 BS indicate that most of the phenotypic variations observed for these traits are genetic in nature and the possibility of genetic gains is increased. You et al (2016) found high heritability (h 2 BS) ([ 0.90) for linoleic and linolenic acid, whereas a moderate heritability for fat content (0.50-0.70). These results are consistent with those of Pleines and Friedt (1988), Khan et al (2008), andSpasibionek (2013), who observed high h 2 BS when controlling these same traits in Brassica.…”

Section: Genetic Parameter Estimationmentioning

confidence: 95%

Variation and genetic analysis of fatty acid composition in flax (Linum usitatissimum L.)

2021

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Flax (Linum usitatissimum L.) is an important source of oil rich in omega–3 fatty acids (especially α-linolenic acid accounting for > 50%), which is proven to have health benefits and utilized as an industrial raw material. α-Linolenic acid is a polyunsaturated fatty acid that readily undergoes oxidative transformation. Autoxidation of α-linolenic acid is the principal process contributing to the development of off-flavors, loss of color, and alteration in the nutritional value of linseed oil. However, there is huge a demand on the market for oils having different compositions of fatty acids, including the linseed oil characterized by improved stability. For this purpose, a complete diallel cross was performed in this study using six flax genotypes varying in the fatty acid content to estimate the genetic parameters. The analysis of variances carried out for the studied traits (content of oleic, linoleic and α-linolenic acid) indicated large differences among the genotypes. Variances due to GCA were much higher in magnitude than those related to SCA for the content of linoleic and α-linolenic acid, which indicated the superiority of additive gene effects in determining the inheritance of these traits. The nonadditive gene action played an important role for oleic acid content, since the magnitude of SCA effect was almost two times higher than GCA effect. The parental lines of linola (Linola KLA and Linola KLB) exhibited the highest concentration of favorable alleles for the two traits (high content of linoleic acid and low content of α-linolenic acid) and were thus found suitable for a continuous improvement program. On the basis of the SCA effect, five cross combinations, were found to be promising F1 hybrids for use as a source population for further selection, in order to achieve fatty acid changes in linseed. These combinations allow selecting varieties with 1:1 and 2:1 ratio of omega–6:omega–3 fatty acids for producing oil with an extended shelf life for food products.

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Section: Genetic Parameter Estimationmentioning

confidence: 95%

Variation and genetic analysis of fatty acid composition in flax (Linum usitatissimum L.)

2021

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“…The limited number of seeds per genotype and the large number of genotypes are the reasons for using this augmented design (Mramba et al, 2018). Compared to the randomized complete block design, which requires replication of the genotypes tested in each block, in an extended randomized group design or augmented design, replication was only made to the check genotypes (commercial varieties) (Frank et al, 2016). Variability can be controlled, and genotypes efficiently can be assessed through augmented design.…”

Section: Experimental Designmentioning

confidence: 99%

Variability of Agro-morphological Character and Genotype Clustering of Watermelon [Citrullus lanatus (Thunberg) Matsum & Nakai] as Basic Selection for New Variety

Lestari

Waluyo

2022

plant trop

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Watermelon [Citrullus lanatus (Thunb) Matsum Nakai] is an important fruit commodity, which has the potential to be developed. Watermelon belongs to the cucurbitaceae family, which has advantages in terms of nutritional, environmental and economic values. Production of watermelon in Indonesia decreased from 2014 to 2016. Therefore, the productivity of watermelons could be increased by conducting this research. The aim of this research was to examine the variability of agro-morphological characters and clustering of watermelon. This research was conducted using seventy eight watermelon genotypes. Seventy-five watermelon genotypes and three commercial varieties were grown in an augmented design. Seventy-five genotypes were spread into four blocks, and each block contained the commercial varieties. The result of this research showed that the cumulative variability reached 81.22 %, with seventen main components and only five effective main components. Based on the cluster analysis, the seventy eight watermelon genotypes were divided into seven clusters, resulting in genetic distance of 0.486 - 0.999 and coefficient of similarity of 93 %. Ten watermelon genotypes selected based on consumer preferences can be used as recommendations to be released as a variety.

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“…This design gives indicative estimations about the inheritance of traits studied. Frank et al (2026) and Chandana et al (2018) calculated genetic components based on variance calculations obtained from augmented design (Frank et al, 2016;Chandana et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Assessment of genetic diversity of Turkish maize landraces for phytic acid and total phenolic contents

Kahrıman

Aktaş

Pınar

et al. 2021

Acta fytotechn zootechn

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Licensed under a Creative Commons Attribution 4.0 International LicenseThe breeding studies targeted to develop high yielding varieties in maize have led to a decrease in genetic variation in secondary biochemical components. Local maize landraces are important genetic sources for these components. The objective of this study was to examine the genetic variation for phytic acid and total phenolic compounds within 192 Turkish maize landraces. The plant material was grown during the summer season of 2017 in Çanakkale, with the inclusion of 7 check hybrids. The field trial used an Augmented Experimental Design, with 6 blocks, each one containing 32 landraces and 7 check hybrids. Phytic acid and total phenolics were detected spectrophotometrically in the seeds of landraces propagated by bulk pollination. The data were subjected to analysis of variance and some genetic estimations (coefficients of variation, heritability, genetic advance) were calculated for the observed traits. Results of data analysis suggest that there is a considerable genetic variation among the investigated genetic materials. The phytic acid content was found between 0.82-4.87 mg g -1 and the total phenolic content was between 0.03-1.99%. For both traits, genetic variation in local maize landraces was observed to be wider than check varieties. The promising materials among landraces may have potential use in the future breeding programs for manipulating the levels of phytic acid and phenolic compounds. According to the calculations made for the inheritance of the traits, it was determined that the heritability in phytic acid content was higher (56.2%) than those for the total phenolics. Genetic gain calculations showed that genetic improvement can be achieved by selection for both investigated traits.

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A method of estimating broad-sense heritability for quantitative traits in the type 2 modified augmented design

Cited by 8 publications

References 26 publications

Variation and genetic analysis of fatty acid composition in flax (Linum usitatissimum L.)

Variation and genetic analysis of fatty acid composition in flax (Linum usitatissimum L.)

Variability of Agro-morphological Character and Genotype Clustering of Watermelon [Citrullus lanatus (Thunberg) Matsum & Nakai] as Basic Selection for New Variety

Assessment of genetic diversity of Turkish maize landraces for phytic acid and total phenolic contents

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