Genotype-by-environment interaction and yield stability analysis in sorghum (<i>Sorghum bicolor</i> (L.) Moench) genotypes in North Shewa, Ethiopia

Admas, Sintayehu; Tesfaye, Kassahun

doi:10.1515/ausae-2017-0008

Cited by 22 publications

(11 citation statements)

References 12 publications

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“…The magnitude of the E term was the highest while that of the G term was the lowest. The finding was in harmony with the observations of previous workers in sorghum (Adugna, 2007;Admas and Tesfaye, 2017;Al-Naggar et al, 2018;Worede et al, 2020).…”

Section: Ammi Analysissupporting

confidence: 91%

Simultaneous selection for grain yield and stability of sorghum [Sorghum bicolor (L.) Moench] genotypes in Northeast Ethiopia

Worede¹,

Tarekegn²,

Teshome³

2021

Afr. J. Agric. Res.

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Sorghum is an important crop in Ethiopia. However, its productivity is low owing to lack of farmer-preferred and stable improved varieties. To identify suitable cultivars, multi-environment evaluation of sorghum genotypes was carried out at four locations for two years. The result of AMMI ANOVA showed that genotype (G), environment (E) and genotype-environment interaction (G×E) significantly (P<0.01) affected sorghum grain yield. The G×E term was partitioned into two significant Interaction Principal Component Axes; where they captured 65.89% of the G×E variance. Genotypes G9, G10 and G12 are highly affected by environmental changes as they had higher G×E. Genotypes G1, G7, G2, G5, G11 and G8 had relatively low G×E, indicating lower influence of the environments on their performance. The GGE analysis showed that the first two PCAs explained 75.11% of the GGE variance. Genotypes G8 and G3 were the highest-yielding genotypes and significantly out yielded the checks. Genotypes G1, G12, G7 and G8 were stable genotypes. G8 was the most desirable genotype followed by G3, G7 and G6. G8 (PGRC/E#222878 × KAT-369-1) was officially released and given a local name called Raya. This white seeded variety is preferred by farmers for various food preparations (recipes), and it commands a premium price at the market. It can give high and stable yield in the unstable environmental conditions of Northeast Ethiopia. If used in its appropriate niche, the variety can contribute to the increase of sorghum productivity, and income of the cultivators.

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Section: Ammi Analysissupporting

confidence: 91%

Simultaneous selection for grain yield and stability of sorghum [Sorghum bicolor (L.) Moench] genotypes in Northeast Ethiopia

Worede¹,

Tarekegn²,

Teshome³

2021

Afr. J. Agric. Res.

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“…Most studies on sorghum landraces have focused on a relatively simple evaluation of grain yield, and less effort has been given to advanced and more informative analyses of traits using MET data. Although G×E interaction has been performed to assess the stability of improved varieties of sorghum using MET data [5,[20][21][22][23], information is not available on the stability of sorghum landraces through the application of AMMI and GGE biplot models. Therefore, the objectives of this study were to evaluate G×E interaction, the performance and stability of sorghum landraces, correlation of grain yield and agronomic traits and to determine representativeness and discriminating ability of different environments where sorghum is cultivated.…”

Section: Introductionmentioning

confidence: 99%

Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench)

et al. 2021

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Genotype by environment (G×E) interaction is a major factor limiting the success of germplasm selection and identification of superior genotypes for use in plant breeding programs. Similar to the case in other crops, G×E complicates the improvement of sorghum, and hence it should be determined and used in decision-making programs. The present study aimed at assessing the G×E interaction, and the correlation between traits for superior sorghum genotypes. Three hundred twenty sorghum landraces and four improved varieties were used in alpha lattice experimental design-based field trial across three environments (Melkassa, Mieso and Mehoni) in Ethiopia. Phenotypic data were collected for days to flowering (DTF), plant height (PH), panicle length (PALH), panicle width (PAWD), panicle weight (PAWT) and grain yield (GY). The results revealed that the variance due to genotype, environment and G×E interaction were highly significant (P < 0.001) for all traits. GY and PAWT were highly affected by environments and G×E whereas DTF, PALH, PAWD and PH were mainly affected by genotypic variation. Therefore, multi-environment testing is needed for taking care of G × E interaction to identify high yielding and stable sorghum landraces. GY and PAWT revealed highly significant positive correlations indicating the possibility of effective selection of the two traits simultaneously. Among the studied populations, South Wello, West Hararghe and Shewa zones had highly diverse genotypes that were distributed across all clusters. Hence, these areas can be considered as hotspots for identifying divergent sorghum landraces that could be used in breeding programs. Melkassa was the most representative environment whereas Mieso was the most discriminating. Five genotypes (G148, G123, G110, G203 and G73) were identified as superior across the test environments for grain yield with farmer-preferred trait, such as plant height. The identified stable and high yielding genotypes are valuable genetic resources that should be used in sorghum breeding programs.

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“…These methods were also used to identify the landraces with yield stability and adaptability in sorghum (Admas and Tesfaye, 2017 ), chickpea (Pouresmael et al, 2018 ), wheat (Bavandpori et al, 2018 ), common bean (Philipo et al, 2020 ), etc. for further use in breeding programs for the development of new varieties.…”

Section: Introductionmentioning

confidence: 99%

Harnessing Sorghum Landraces to Breed High-Yielding, Grain Mold-Tolerant Cultivars With High Protein for Drought-Prone Environments

et al. 2021

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Intermittent drought and an incidence of grain mold disease are the two major constraints affecting sorghum production and productivity. The study aimed at developing drought-tolerant sorghum varieties possessing a high protein content and tolerance to grain mold with stable performance using additive main effects and multiplicative interaction (AMMI) and genotype and genotype × environment interaction (GGE) biplot methods. Systematic hybridization among the 11 superior landraces resulted in subsequent pedigree-based breeding and selection from 2010 to 2015 evolved 19 promising varieties of grains such as white, yellow, and brown pericarp grains. These grain varieties were evaluated for their adaptability and stability for yield in 13 rainfed environments and for possessing tolerance to grain mold in three hot spot environments. A variety of yellow pericarp sorghum PYPS 2 (3,698 kg/ha; 14.52% protein; 10.70 mg/100 g Fe) possessing tolerance to grain mold was identified as a stable variety by using both AMMI and GGE analyses. Four mega-environments were identified for grain yield and fodder yield. Sorghum varieties PYPS 2, PYPS 4, PYPS 8, and PYPS 11 were highly stable in E2 with a low grain mold incidence. Besides meeting the nutritional demand of smallholder farmers under dryland conditions, these varieties are suitable for enhancing sorghum productivity under the present climate change scenario.

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Genotype-by-environment interaction and yield stability analysis in sorghum (Sorghum bicolor (L.) Moench) genotypes in North Shewa, Ethiopia

Cited by 22 publications

References 12 publications

Simultaneous selection for grain yield and stability of sorghum [Sorghum bicolor (L.) Moench] genotypes in Northeast Ethiopia

Simultaneous selection for grain yield and stability of sorghum [Sorghum bicolor (L.) Moench] genotypes in Northeast Ethiopia

Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench)

Harnessing Sorghum Landraces to Breed High-Yielding, Grain Mold-Tolerant Cultivars With High Protein for Drought-Prone Environments

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