GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran

Khazaei, Azim; Golzardi, Farid; Torabi, M.; Feyzbakhsh, Mohammad Taghi; Azarinasrabad, Ali; Nazari, Leyla; Ghasemi, Abolghasem; Mottaghi, Mehdi

doi:10.1080/15427528.2022.2113488

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…In the Mean vs. Stability” view, the AEC starts from the left side of the biplot and points to the right direction of larger means for a trait suggesting that genotypes located on the right have larger means and thus better performance. On the other hand, vertical distances of genotypes onto the AEC indicate how much the GEI effects are imposed on the genotypes ( Khazaei et al., 2022 ). In other words, the farther away from the AEC, the more unstable of a genotype.…”

Section: Discussionmentioning

confidence: 99%

Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses

Wang,

Huang

et al. 2023

Front. Plant Sci.

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Grain sorghum is an exceptional source of dietary nutrition with outstanding economic values. Breeding of grain sorghum can be slowed down by the occurrence of genotype × environment interactions (GEI) causing biased estimation of yield performance in multi-environments and therefore complicates direct phenotypic selection of superior genotypes. Multi-environment trials by randomized complete block design with three replications were performed on 13 newly developed grain sorghum varieties at seven test locations across China for two years. Additive main effects and multiplicative interaction (AMMI) and genotype + genotype × environment (GGE) biplot models were adopted to uncover GEI patterns and effectively identify high-yielding genotypes with stable performance across environments. Yield (YLD), plant height (PH), days to maturity (DTM), thousand seed weight (TSW), and panicle length (PL) were measured. Statistical analysis showed that target traits were influenced by significant GEI effects (p < 0.001), that broad-sense heritability estimates for these traits varied from 0.40 to 0.94 within the medium to high range, that AMMI and GGE biplot models captured more than 66.3% of total variance suggesting sufficient applicability of both analytic models, and that two genotypes, G3 (Liaoza No.52) and G10 (Jinza 110), were identified as the superior varieties while one genotype, G11 (Jinza 111), was the locally adapted variety. G3 was the most stable variety with highest yielding potential and G10 was second to G3 in average yield and stability whereas G11 had best adaptation only in one test location. We recommend G3 and G10 for the production in Shenyang, Chaoyang, Jinzhou, Jinzhong, Yulin, and Pingliang, while G11 for Yili.

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Section: Discussionmentioning

confidence: 99%

Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses

Wang,

Huang

et al. 2023

Front. Plant Sci.

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“…According to the four regions' diagrams, the two hybrids KSC705 and KSC604 were identified as desirable hybrids in all regions. Various researchers have used polygon diagrams to evaluate the genotypes of different plants, including sunflower (Ansarifard et al, 2020), corn (Shojaei et al, 2021;Szabó et al, 2022;Illés et al, 2022;Mahrokh et al, 2023), and cowpea (Araújo et al, 2021), sweet corn (Mousavi et al, 2024) sorghum (Khazaei et al, 2022).…”

Section: Polygon Diagrammentioning

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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GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran

Cited by 2 publications

References 37 publications

Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses

Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses

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

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