Effect of Nitrogen Fertilization Levels on Grain Yield and Yield Components in Triticale Based on Ammi and Gge Biplot Analysis

Oral, Erol

doi:10.15666/aeer/1604_48654878

Cited by 16 publications

(12 citation statements)

References 7 publications

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“…The AMMI model-based analyses were conducted extensively around the globe. A few references from the past and present that exhibited similar findings are being reviewed here in order to support the work conducted in this study: Bhardwaj et al (2017) , Mohammadi et al (2017) , Maqbool et al (2017) , Mathobo and Marais (2017) , Oral et al (2017) , Das et al (2018) , Erdemci (2018) , and Oral (2018) .…”

Section: Discussionsupporting

confidence: 69%

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

et al. 2021

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This study was planned with the purpose of evaluating the drought tolerance of advanced breeding lines of chickpea in natural field conditions. Two methods were employed to impose field conditions; the first: simulating drought stress by growing chickpea genotypes at five rainfed areas, with Faisalabad as the non-stressed control environment; and the second: planting chickpea genotypes in spring to simulate a drought stress environment, with winter-sowing serving as the non-stressed environment. Additive main effects and multiplicative interaction (AMMI) and generalized linear models (GLM) models were both found to be equally effective in extracting main effects in the rainfed experiment. Results demonstrated that environment influenced seed yield, number of primary and secondary branches, number of pods, and number of seeds most predominantly; however, genotype was the main source of variation in 100 seed weight and plant height. The GGE biplot showed that Faisalabad, Kallur Kot, and Bhakkar were contributing the most in the GEI, respectively, while Bahawalpur, Bhawana, and Karor were relatively stable environments, respectively. Faisalabad was the most, and Bhakkar the least productive in terms of seed yield. The best genotypes to grow in non-stressed environments were CH39/08, CH40/09, and CH15/11, whereas CH28/07 and CH39/08 were found suitable for both conditions. CH55/09 displayed the best performance in stress conditions only. The AMMI stability and drought-tolerance indices enabled us to select genotypes with differential performance in both conditions. It is therefore concluded that the spring-sown experiment revealed a high-grade drought stress imposition on plants, and that the genotypes selected by both methods shared quite similar rankings, and also that manually computed drought-tolerance indices are also comparable for usage for better genotypic selections. This study could provide sufficient evidence for using the aforementioned as drought-tolerance evaluation methods, especially for countries and research organizations who have limited resources and funding for conducting multilocation trials, and performing sophisticated analyses on expensive software.

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Section: Discussionsupporting

confidence: 69%

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

et al. 2021

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“…The feed value of triticale is equivalent to corn, wheat, barley, rye and sorghum or better than them, while in feed rations, it can be preferred instead of corn, wheat, barley, rye and oats. Triticale is used primarily as animal feed, and in recent years it has also been used in human food and ethanol production (Oral, 2018).…”

Section: Introductionmentioning

confidence: 99%

Proficiency of Biplot Methods (Ammi and Gge) in the Appraisal of Triticale Genotypes in Multiple Environments

Kendal¹

2019

Appl. Ecol. Env. Res.

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The AMMI (additive main effect and multiplicative interaction) and GGE (genotype, genotype x environment) biplot analyses were used to evaluate and identify stability and yield of Triticale genotypes at three different locations throughout two years (2014-15-2015-16). The AMMI analysis of variance showed significant genotype, environment and GE interaction and indicated 1.31, 98.40 and 0.28% of total variation, respectively. The GGE bi-plot analysis indicated 78.19% of the total variation (PC1 (priciple component) 50.01%, and PC2 26.08%). This study has been useful to discriminate genotypes with superior and stable yield evaluated by the AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index. The AMMI analysis indicated that G4, G8 (candidate) and G6 were found to be quite promising genotypes. In the GGE biplot analysis genotypes were investigated in two mega-environments, and the first megaenvironment covered E3, E5 and E6, and the second mega-environment covered E1, E2 and E4. The genotypes G6, G8, G9 and G11 were the wining genotypes in ME (mega-environment) I, G3, G4 and G12 and in ME II. The GGE and AMMI biplot approaches let us to describe the best genotypes, and G8 to be stable and high yielding for both ME, G6 only for ME I, G4 only for ME II and can be recommended to release as a cultivar.

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“…Grain yield GGE biplot analysis has been importance for the plant breeders because it will present the relationship between traits as visually (Oral 2018). In biplot analysis of diallel data, every genotype was taken both as the line and tester.…”

Section: Resultsmentioning

confidence: 99%

Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

et al. 2021

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The present study was undertaken to analyze diallel data using GGE biplot model to gather information about genetic interrelationships among parents and identiﬁcation of heterotic combinations for yield and yield components in bread wheat varieties. For this purpose, 8 bread wheat genotypes tested across in half-diallel crosses design, GGE biplot technique was used. Parents included the genotypes of Kouhdasht, Karim, Ehsan, Mehregan, N-92-9, Line 17, N80-19 and Atrak. The hybrids obtained from the one-way cross (28 hybrids) in agricultural years of 2016-17 were evaluated as randomized complete block design in two replications on the research farm of Gonbad Kavous University. The evaluated traits included the grain yield, weight of spike grains, number of grains in spike and number of spikes. Additive main eﬀects and genotype × environment interaction (GGE) were employed in the evaluation of genotypes; analyses showed signiﬁcant (P< 0.01) G × E, (genotype × environment interaction) with respect to plant seed yield. GGE biplot analysis showed that Karim was as the best general combiners for grain yield, number grain per spike and grain weight per spike, whereas Ehsan had the highest GCA eﬀects for number of spikes. Ehsan and Karim had higher speciﬁc combining ability than other genotypes. The studied genotypes for this trait were divided into two heterotic groups where the ﬁrst group included the genotypes of Kouhdasht, N-92-9, N80-19 and Atrak and the second group contained the genotypes of Line 17, Mehregan and Karim. Mehregan line had a weak combining ability with all testers and N-92-9 had also more power than others. Based on the biplot, the Karim genotype with high general adaptation was introduced as the ideal genotype in terms of grain yield, spike number, grain number per spike and grain weight, so the Karim genotype can be adapted to obtain high yield hybrids.

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Effect of Nitrogen Fertilization Levels on Grain Yield and Yield Components in Triticale Based on Ammi and Gge Biplot Analysis

Cited by 16 publications

References 7 publications

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

Proficiency of Biplot Methods (Ammi and Gge) in the Appraisal of Triticale Genotypes in Multiple Environments

Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

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