Determination of Genetic Components through Triple Test Crosses  in Okra [Abelmoschus esculentus (L) Moench]

Abstract Background: The target of this study is to investigate the relationship between genetic components, combining ability and genetic diversity among twenty six cotton crosses derived from a cross between thirteen contrasting inbred lines with two testers in three replications using modified triple test cross model.Results: All the genotypes showed highly significant differences for twelve yield and fiber quality traits reflecting genetic variability between lines, testers and crosses. Giza 86 is considered as a good combiner for yield and its components traits, while Giza 45 is the best combiner for fiber fineness and fiber strength, which classified in unique cluster. Most of the combinations having significant SCA effects were belonging to genetically diverse parents. The mean squares for the deviations revealed the presence of significant epistasis for all the studied traits except, seed index and fiber reflectance. While, significant mean squares were shown for sums and differences except lint index for additive and uniformity ratio and fiber reflectance for dominance. The fixable type (i) of epistasis was larger than non-fixable (i + l) type for the inheritance of the studied traits. The traits had significant mean squares for both fixable and non-fixable gene action, also showed significant GCA and SCA among 15 parents and 26 cotton crosses, respectively. Additive genetic component was larger than dominance for all the studied traits. So, most of the studied traits had significant GCA and degree of dominance was less than unity for all the studied traits, indicating partial or incomplete dominance. The correlation coefficient between the sums and difference were found to be insignificant indicating the genes with positive and negative effects were equally distributed among the genotypes.Conclusions: Genetic correlation between three genetic components revealed that both additive and epistasis play a great role among some studied traits suggesting common genetic pool. Thus, selection based on additive gene action based on indirect selection could improve cotton yield. The genotypes which have large genetic diversity could produce significant general or specific combining ability which may be reflecting its genetic behavior.

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Genetics of fat intake in the determination of body mass

Nutrition Research Reviews ◽

10.1017/s0954422417000014 ◽

2017 ◽

Vol 30 (1) ◽

pp. 106-117 ◽

Cited By ~ 6

Author(s):

Agata Chmurzynska ◽

Monika A. Mlodzik

Keyword(s):

Fatty Acid ◽

Body Mass ◽

Fat Intake ◽

Acid Sensitivity ◽

Genetic Components ◽

Gene Environment ◽

Cluster Of Differentiation ◽

Biological Component

AbstractBody mass and fat intake are multifactorial traits that have genetic and environmental components. The gene with the greatest effect on body mass is FTO (fat mass and obesity-associated), but several studies have shown that the effect of FTO (and of other genes) on body mass can be modified by the intake of nutrients. The so-called gene–environment interactions may also be important for the effectiveness of weight-loss strategies. Food choices, and thus fat intake, depend to some extent on individual preferences. The most important biological component of food preference is taste, and the role of fat sensitivity in fat intake has recently been pointed out. Relatively few studies have analysed the genetic components of fat intake or fatty acid sensitivity in terms of their relation to obesity. It has been proposed that decreased oral fatty acid sensitivity leads to increased fat intake and thus increased body mass. One of the genes that affect fatty acid sensitivity is CD36 (cluster of differentiation 36). However, little is known so far about the genetic component of fat sensing. We performed a literature review to identify the state of knowledge regarding the genetics of fat intake and its relation to body-mass determination, and to identify the priorities for further investigations.

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Determınatıon Of The Medıan Values Of Trıple Test Screening Parametres İn Yozgat Regıon

Turkish Journal of Biochemistry ◽

10.5505/tjb.2014.25338 ◽

2014 ◽

Author(s):

Gokhan Dogukan Akarsu

Keyword(s):

Triple Test

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Strategies for overcoming genotypic limitations of in vitro regeneration and determination of genetic components of variability of plant regeneration traits in sorghum

Plant Cell Tissue and Organ Culture (PCTOC) ◽

10.1007/s11240-006-9140-0 ◽

2006 ◽

Vol 86 (3) ◽

pp. 379-388 ◽

Cited By ~ 9

Author(s):

Sanjay Gupta ◽

V. K. Khanna ◽

Rameshwar Singh ◽

G. K. Garg

Keyword(s):

Plant Regeneration ◽

In Vitro Regeneration ◽

Genetic Components

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Triple test cross and six-population techniques for partitioning the components of genetic variance in faba bean (Vicia faba)

The Journal of Agricultural Science ◽

10.1017/s0021859602002216 ◽

2002 ◽

Vol 139 (1) ◽

pp. 61-66 ◽

Cited By ~ 5

Author(s):

B. R. BAKHEIT ◽

M. Z. EL-HIFNY ◽

M. M. EISSA ◽

S. B. RAGHEB

Keyword(s):

Faba Bean ◽

Genetic Architecture ◽

Genetic Variance ◽

Triple Test Cross ◽

Test Cross ◽

Plant Seeds ◽

Genetic Components ◽

Triple Test ◽

Flower Plant ◽

100 Seed Weight

The efficiency of the triple test cross (TTC) and the six-population biometrical analyses was compared in terms of assessing and quantifying the components of genetic variance for two faba bean crosses: Triple White×Giza 843 and NA112×Giza 429. Several traits were studied including days to first flower, plant height, branches/plant, pods/plant, seeds/pod, 100-seed weight and seed yield/plant. The results supported the triple test cross biometrical approach as it uses first degree statistics and can be applied to any population irrespective of its genetic architecture. Absence of a scalar relationship between triple test cross families (orthogonality) ensures independence between means and variance with no restrictive assumptions. Both methods provided evidence for epistasis, and both additive and dominance genetic components in the genetic control of the studied traits.

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