The Modified Genotype by Trait (Gt) Biplot Technique as Selection Criterion in Wheat under Reduced Irrigarion

Hamid, E. A.M. Abd-El; Aglan, M. A. A.; Hussein, E.

doi:10.21608/agro.2019.16580.1177

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…The superiority index ranks genotypes with the means overall traits (Figure 3, Table 4); elevated values of SI (1.24) indicate the best genotype (G17) and low values of SI (-1.40) indicate a weak genotype (G6). Several researchers reported similar results to the present finding on different crop species, such as soybean (Malek et al, 2014), bean (Payasi, 2015), oats (Yan and Frégeau-Reid, 2018), Sesamum (Seyni and Abdoua, 2019), bread wheat (Abd-ElHamid et al, 2019), durum wheat (Kendal, 2019) and Lance et al (2020).…”

Section: Trait Relations (Vector Graph)supporting

confidence: 88%

Graphical Presentation of some Peanut Genotypes by Comparing Two Patterns of Biplot Analysis العرض البیانی لبعض التراکیب الوراثیة للفول السودانی بمقارنة نموذجین من تحلیل المحاور الثنائیة

Mahmoud¹,

Hussein

Aboelkassem³

et al. 2020

Journal of Plant Production

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The present work was carried out at the Agriculture Research Station of Shandwell during the two successive seasons of 2018 and 2019 to assess the yield potential of 20 peanut genotypes. Genotype by trait biplot (GT) and genotype by yield*trait (GYT) analyses were automated to obtain information on genotypes for selection based on multiple traits (nine traits), and appreciate the relationships between these attributes. Applying biplot analyses to the multiple trait data revealed that genotype by yield*trait (GYT) graphically facilitated visual, more effective and clear in providing information about the superior genotypes and the relationships between the yield and its components genotype compared to trait biplot (GT). Also, ranking genotypes was tested by a superiority index that collective yield and other target traits with the GYT biplot. In the GYT biplot, yield-trait combinations clearly appeared that the best genotypes defined for all traits, whereas in the genotype × trait (GT) biplot, the best genotypes were not known for all traits. The promising genotypes being No. 7, 16 and 17 are clearly observed using the GYT biplot technique.

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Section: Trait Relations (Vector Graph)supporting

confidence: 88%

Graphical Presentation of some Peanut Genotypes by Comparing Two Patterns of Biplot Analysis العرض البیانی لبعض التراکیب الوراثیة للفول السودانی بمقارنة نموذجین من تحلیل المحاور الثنائیة

Mahmoud¹,

Hussein

Aboelkassem³

et al. 2020

Journal of Plant Production

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“…A), the first two principal components explained 40.07% and 22.06%, respectively, and a total of more than 62% of the data variance. The high percentage of the first two principal components indicates the high validity of the GYT biplot in justifying the percentage of the data variance (Hamid et al 2019). This biplot identified Armavirski, Gabur, Azargol, Zaria, Master and Favorite genotypes as the most desirable genotypes.…”

Section: Polygon Diagramsmentioning

confidence: 88%

“…Gholizadeh and Ghaffari (2022) on 24 sunflower hybrids used GYT graphical analysis and reported a significant and positive correlation between the number of seeds per head and 100-grain weight combined with grain yield. This method has also been used in the study of various crop plants, including durum wheat (Kendal 2019), bread wheat (Hamid et al, 2019), sesame (Boureima and Abdoua 2019), maize (Mousavi et al 2021) and oilseed rape (Zeinalzadeh-Tabrizi and Amiri Oghan 2021).…”

Section: Introductionmentioning

confidence: 99%

Comparison of genotype × trait and genotype × yield-trait biplots in Sunflower cultivars

Shojaei

Mostafavi

ANSARİFAD

et al. 2023

International Journal of Agriculture Environment and Food Sciences

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The selection of genotypes based on various characteristics is a critical challenge in plant breeding. An experiment was carried out in a randomized complete block design (RCBD) in three replications over two crop years, 2018-2019, to compare the effects of genotype × trait (GT) and the genotype × yield-trait (GYT) methods as well as investigate the relationships between grain yield and different agronomic traits. Plant materials ten sunflowers (Helianthus annuus L.) genotypes. Based on the combined analysis of variance, there was a significant difference in parameters except leaf length. The effect of year × genotype was significant in all traits except plant height, stem diameter, and leaf length (P≤ 0.01). Gabur, Azargol and Favorite genotypes were ranked as genotypes in the years of the experiment. Based on the graphical analysis performed on the effect of genotype × trait (GT), Zaria genotype was selected as the best and stable genotype. The genotype × yield-trait (GYT) biplot ranked genotypes by yield and other desired trait levels and depicts their trait profiles, or strengths and weaknesses. The correlation biplot revealed positive correlations between most traits with grain yield. This method is pictorial, objective, effective, and simple compared to the genotype × trait (GT) method. The GYT biplot technique is based on the paradigm shift that genotypes should be assessed by their yield levels in combination with other variables rather than individually. The graphical analysis of the effect of genotype × yield-trait (GYT) revealed that Gabur and Armavirski genotypes were selected as the best for all traits investigated and could be recommended for cultivation in the Karaj location.

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“…One of the most important benefits of GYT biplot is the selection of additional compounds to reduce the measurement costs in the experiment (Mohammadi, 2019). Researchers have used the GYT method to study various plants, including the use of this method in durum wheat (Kendal et al, 2019), bread wheat (Hamid et al, 2019), sesame (Boureima and Yaou, 2019). Genotypes × yield × trait interaction in maize genotype areas.…”

Section: Introductionmentioning

confidence: 99%

Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments

et al. 2024

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This study aimed to identify the best genotypes using the genotype × yield × trait (GYT) method. To investigate the relationships was performed between yield × traits in four regions of Karaj, Birjand, Shiraz and Arak in two cropping years in a randomized complete block design (RCBD) with three replications. The average grain yield in four regions and two years of the experiment was calculated as 5966 kg/ha, and GYT was obtained based on the multiplication of grain yield with different traits. Comparing the average effect of genotype × year in different environments showed that KSC703 and KSC707 hybrids are among the most productive hybrids among the studied genotypes in grain yield. By examining the correlation coefficients between yield × traits in the tested areas, Y × TWG with Y × GW, Y × NRE, Y × NGR and Y × EL, Y × ED with Y × NGR, Y × NRE with Y × GW and the combination of Y × GW with Y × GL had a positive and significant correlation in all regions. The correlation diagrams were drawn on the evaluated areas' data and showed the correlation of most compounds except Y × GT with each other. Based on the analysis of the main components, the first three components explained the greatest diversity in the population. They were named the component ear grain profile, grain thickness component and plant height profile component.

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The Modified Genotype by Trait (Gt) Biplot Technique as Selection Criterion in Wheat under Reduced Irrigarion

Cited by 5 publications

References 16 publications

Graphical Presentation of some Peanut Genotypes by Comparing Two Patterns of Biplot Analysis العرض البیانی لبعض التراکیب الوراثیة للفول السودانی بمقارنة نموذجین من تحلیل المحاور الثنائیة

Graphical Presentation of some Peanut Genotypes by Comparing Two Patterns of Biplot Analysis العرض البیانی لبعض التراکیب الوراثیة للفول السودانی بمقارنة نموذجین من تحلیل المحاور الثنائیة

Comparison of genotype × trait and genotype × yield-trait biplots in Sunflower cultivars

Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments

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