Evaluation of Triticale Genotypes in Terms of Yield Stability for the Southern Marmara Region

Doğan, Rafi; Kaçar, Oya; Göksu, Erdinç; Azkan, Nedime

doi:10.15835/nbha3926060

Cited by 5 publications

(6 citation statements)

References 19 publications

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“…The result obtained using Eberhart and Russell (1966) model is in agreement with that of the AMMI model. Supportive findings were reported by Dogan et al (2011) that significant differences between genotypes for grain yield of eight triticale lines evaluated across six environments.…”

Section: Regression Analysis Based On Eberhart Andsupporting

confidence: 76%

Genotype by environment interaction and grain yield stability of Ethiopian black seeded finger millet genotypes.

Kebede¹,

Lule²,

Megersa³

et al. 2019

Afr. Crop Sci. J.

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Finger millet (Eleusine coracana (L.) Gaertn) is an important cereal widely produced in Ethiopia across diverse agro-ecologies. It is valued by local farmers for its ability to grow in adverse agro-climatic conditions, where other cereals fail. The yield potential of this crop is in the range of 4-5 tonnes/ha, but the current national average grain yield is far below the potential (2.1 tonnes). Lack of improve varieties which are stable, high yielder and stress tolerant is a major limiting factor to production of this crop in Ethiopia. A field experiment was conducted using twelve black seeded finger millet (Eleusine coracana subsp. coracana) genotypes, including local and standard checks (Degu) at two locations (Bako and Gute) in Ethiopia for three years (2014-2016). The objective of this study was to identify stable and high yielding genotypes for grain yield and other agronomic traits among the black seeded finger millet genotypes of Ethiopia. The additive main effect and multiplicative interaction (AMMI) model analysis of variance revealed highly significant (P<0.01) differences between environments, genotype, and Interaction Principal Component Analysis (IPCA-I), but significant variations (P<0.05) for G x E interactions. This indicates that the genotypes performed differently over environments and that the test environments are highly variable. Only the first IPCA-I showed high significance (P<0.01) and contributed 48.39% of the total genotype by environment interaction (G x E). Genotypes BKFM0020, BKFM0006 and BKFM0010, which had high grain yield, but with IPCA value close to zero, indicated the wide adaptability/stability. Similarly, analysis using Eberhart and Russell model revealed that these genotypes were within the relatively acceptable range of regression coefficients (bi), approaching to one (0.742, 0.8176 and 1.0578), and deviation from regression closer to zero (s 2 di) (0.0385,-0.0661 and-0.0248), respectively. This implied that pipeline genotypes were stable, widely adaptable and high yielders than the other genotypes. Genotype and genotype by environment (GGE bi-plot) analysis also revealed that these candidate genotypes were stable and high yielder. Besides, these genotypes showed resistance to blast disease, which is a threat to finger millet production in the study areas. Therefore, these genotypes were selected as potential candidates for possible release in western Oromia and similar agro-ecologies of the country.

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Section: Regression Analysis Based On Eberhart Andsupporting

confidence: 76%

Genotype by environment interaction and grain yield stability of Ethiopian black seeded finger millet genotypes.

Kebede¹,

Lule²,

Megersa³

et al. 2019

Afr. Crop Sci. J.

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“…Generally, the regression coefficient (bi) ranged from 0.37 to 1.48 in the present study, indicating wider deviation from the ideal or stable genotypes. On the contrary, though the number of test genotypes was small, Dogan, et al (2011) reported that regression coefficient (bi) ranged from 0.824 to 1.180 for 8 triticale genotypes, showing narrow deviation from ideal regression. (Table 2).…”

Section: Ss Ssmentioning

confidence: 99%

Additive Main Effects and Multiplicative Interactions (AMMI) and genotype by environment interaction (GGE) biplot analyses aid selection of high yielding and adapted finger millet varieties

Lule¹,

Fetene²,

Villiers³

et al. 2014

J. App. Bioscience.

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Background and justification: Lack of stable high yielding cultivars is one of the major bottlenecks for production and productivity of finger millets in Ethiopia. Identification of adaptable, stable and high yielding genotypes under varying environmental conditions prior to release as a cultivar is the first and foremost steps for plant breedingr and this has direct bearing on the adoption of the variety, its productivity and total production of the crop. Objective: The major objectives of the present study were to (i) assess the stability and yield performance of advanced finger millet genotypes evaluated in multiple environments, and (ii) identify stable high yielding candidate cultivar (s) for possible release using different statistical tools. Material and methods: A total of 30 advanced finger millet genotypes were evaluated against two standard checks (Gute and Taddese) across four locations (Arsi Negele, Assosa, Bako and Gute) in 2012 and 2013 main cropping seasons. The trial was arranged in a randomized complete block design (RCBD) replicated three times. Summary result and application of the study: Additive Main effect and Multiplicative Interaction (AMMI), Genotype and Genotype by Environment interaction (GGE) biplot analysis and, Eberhart and Russell model revealed that Acc. 203544 is stable high yielding (3.16 ton ha -1 ) with a yield advantage of 13.7% over the best standard check, Gute (2.78 ton ha -1 ), and thus should be recommended for possible release with wider environmental adaptability. Acc. 242111 (3.08 ton ha -1 ), Acc. BKFM0051 (3.07 ton ha -1 ) and Acc.229738 (2.99 ton ha -1 ) were also high yielding, but showed narrow stability and thus should be recommended for verification and possible release for specific environments.

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“…The genotype x environment interaction accounted for 15.895% of the total variation in our experiment and was significant. The researches of different authors (Gelalcha et al, 2007;Akbarian et al, 2011;Dogan et al, 2011;Lule et al, 2014;Kaya & Ozer, 2014;Kendal et al, 2019;Bocianowski et al, 2021) confirm the significance of the interaction in various studied genotypes and conditions of the environment. Only the results of Dogan et al (2009) did not show significant effect in the triticale lines they investigated both of the genotype and the genotype x environment interaction with regard to yield.…”

Section: Resultsmentioning

confidence: 90%

“…In fact, in our previous research (Stoyanov & Baychev, 2021), the results from the investigated cultivars undoubtedly demonstrated that the lines were with much higher productivity in comparison to the local and world checks. Such values have been rarely reported on the triticale genotypes; they often vary between 1 and 10% from the total variation (Gelalcha et al, 2007;Dogan et al, 2011;Kaya & Ozer, 2014;Kendal et al, 2019), while the effect of the environment may reach up to 98% (Kendal et al, 2019). Obuchowski et al (2010) and Grzesiak et al (2012) have also reported a high effect of the genotype on the yield from triticale.…”

Section: Resultsmentioning

confidence: 96%

Analysis of Genotype X Environment Interaction in Triticale Lines With Ammi and Pca

STOYANOV,

BAYCHEV

2023

AGROLIFE

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In order to determine to what degree the different conditions affected the stability of certain triticale genotypes and to what extent they determined the effect of the genotype x environment interaction, 12 lines of winter hexaploid triticale were studied under contrasting growing periods. The results from the AMMI-analysis showed that the GxE interaction accounted for 14.8% of the total variation of yield, while four significant principal components could explain 96% of its variance. The PCA analysis demonstrate that the first component related to the action of the meteorological conditions during 2015/2016 and 2019/2020 growing periods, and had the highest effect on the interaction. The AMMI-based biplot graphs revealed that the behavior of the local check Kolorit and lines G2 and G7 was the most stable according to the different periods affecting the genotype x environment interaction, while G1, G6 and G11 also had lower interaction with the conditions of the environment, but only during certain periods. Such characteristics allowed involving these lines in testing under the varied soil and climatic conditions of Bulgaria.

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Evaluation of Triticale Genotypes in Terms of Yield Stability for the Southern Marmara Region

Cited by 5 publications

References 19 publications

Genotype by environment interaction and grain yield stability of Ethiopian black seeded finger millet genotypes.

Genotype by environment interaction and grain yield stability of Ethiopian black seeded finger millet genotypes.

Additive Main Effects and Multiplicative Interactions (AMMI) and genotype by environment interaction (GGE) biplot analyses aid selection of high yielding and adapted finger millet varieties

Analysis of Genotype X Environment Interaction in Triticale Lines With Ammi and Pca

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