Identification of Stability and Adaptability in Advanced Durum Genotypes Using AMMI Analysis

Mohammadi, Reza; Armion, Mohammad; Shabani, Akbar; Daryaei, Amir

doi:10.3923/ajps.2007.1261.1268

Cited by 14 publications

(4 citation statements)

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“…Stability by itself should, however, not be the only parameter for selection, as the most stable variety would not necessarily give the best yield performance (Mohammadi et al, 2007). Therefore, the study indicated that Mezezo and Yedogit were recorded the lower ASV (Table 6), but recorded lower yield (908, 898kgha -1 respectively).…”

Section: Genotype and Genotype By Environment Interaction (Gge) Biplo...mentioning

confidence: 95%

Adaptability Study of Yield and Yield Related Trait Performance of Improved Food Barley (Hordeum Vulgare L.) Varieties in North Shewa Zone Oromia, Ethiopia

Geleta¹,

Girma²

2022

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Barley is one of the founders, old world agriculture and the first domesticated cereal crop. It is a staple food, adapted to and produced over a wider range of environment . This trial was conducted on sixteen improved food barley varieties with one local check at Fitche Agricultural Research Center for two consecutive years. The objective was to identify adaptable, stable and high yielding varieties. The seed was sown in Randomized Complete Block Design with three replications. Nine agronomic traits data were evaluated. Analysis of variance detected significant difference among varieties for most observed traits both separated and combined analysis. Observation attained significant differences over years and locations for almost all traits. The combine ANOVA and the AMMI analysis for grain yield across environments revealed significantly affected by environments, hold 68.4% of the total variation. Genotype and genotype by environmental interaction were significant and accounted 12.1 % and 17.8 % respectively. Principal component 1 and 2 accounted 9.6% and 4.3 % of the GEI respectively with a total of 13.9 % variation. The interaction effect of variety by year and variety by location imposed significant effect on most traits. Among evaluated varieties; HB1307 and HB1966 had significantly higher mean value of grain yield. Moreover, the yield advantage of 32.9% and 38.8% were estimated for HB1307 and HB1966 respectively over the local check. Therefore, these varieties were suggested for further demonstration and popularization in the areas with similar agro-ecology.

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Section: Genotype and Genotype By Environment Interaction (Gge) Biplo...mentioning

confidence: 95%

Adaptability Study of Yield and Yield Related Trait Performance of Improved Food Barley (Hordeum Vulgare L.) Varieties in North Shewa Zone Oromia, Ethiopia

Geleta¹,

Girma²

2022

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“…On the contrary, smaller ASV values highlight genotype general stability across tested environments. Stability itself is not a reliable selection indicator as stable cultivars were mostly found to be poor yielders (Mohammadi et al, 2017), so the use of yield plus stability as a single non-parametric index is generally required (Farshadfar et al, 2008). Genotype selection index (GSI) was obtained by adding ranks of ASV and yield of the respective strain at that particular site.…”

Section: Identification Of Stable Cum Yielder Cotton Strainsmentioning

confidence: 99%

Performance Stability Assessment in upland Cotton Strains throughout Cotton-growing Belt in Pakistan

Jamil¹,

Sarwar²,

Akhtar³

et al. 2022

SJA

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U pland cotton (Gossypium hirsutum. L) is mainly cultivated for its spinnable fibre worldwide. It is truly considered a cash crop and the backbone of the country's economy. It accounts for 0.8% accumulation in GDP and 4.2 per cent value addition in the agriculture sector (GoP, 2020). Pakistan is numbered as Abstract | Cotton is a real cash crop and contributes to the national economy by enhancing exports. The yield performance of cotton is fluctuating under erratic test conditions due to genotype into environment interaction. The present study was executed at 14sites throughout Pakistan according to a randomized complete block design replicated 03 times during Kharif (summer season) 2019.The experiment aimed to assess the performance stability of studied strains in terms of seed cotton yield against selected environments. Twenty-five upland cotton strains recently bred by different research stations including the check cultivar (CIM-602) were selected for this study. Additive main effects and multiplicative interaction (AMMI) analysis procedure was followed for the data analysis. The analysis of variance revealed that strains, environments and genotype into environments interaction (GEI) results were significant at (p≤0.01). Further, the GEI sum of squares (SS) was comprised of (20.5%) out of total variability. Seven interaction Principal Component Axis (IPCA) were found significant at (p≤0.01). IPCA-1 and IPCA-2 were found enfolded with37.9% and 22.2% of GEI portion respectively. AMMI-1 was diagnosed as a predictive model which delineated all test sites into 4 mega environments. The strain (NIAB-1011) won seven environments and qualified as the overall winner of the trial by giving the highest 2604 Kg ha -1 seed cotton yield. Strain GH-U had yielded a maximum of 4070 Kg ha -1 inthe Khuzdar environment. Sahiwal was ranked the top environment with a yield of 3161 Kg ha -1 followed by Khuzdar (2845 Kg ha 1 ) respectively. The genotype selection index (GSI: A non-parametric approach to determine performance stability) distinguished NIAB-135, BH-224 and FH-Am17 being the most stable strains bearing the least GSI value and may be released for general cultivation to boost national cotton production.

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“…AMMI analysis permits estimation of interaction effect of a genotype in each environment and it helps to identify genotypes best suited for specific environmental conditions. Though analysis of G x E interaction of multilocation yield data in AMMI model have been reported by Vijaykumar et al, 2001;Mahalingam et al, 2006;Naveed et al, 2007;Das et al, 2009;Mohamadi et al, 2007;Shinde et al, 2002 andHariprasanna et al, 2008. All those researchers stressed the usefulness of AMMI analysis for selection of promising genotypes for specific locations or environmental conditions.…”

Section: Stability and Adaptation Of Local Okramentioning

confidence: 99%

SELECTION OF LOCAL OKRA (Abelmoschus esculentus L.) GENOTYPES FOR STABILITY UNDER SALINE CONDITIONS

Hadi

Hafiz

2012

Egyptian Journal of Agricultural Sciences

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This investigation aimed to observe genotypic stability (with respect to pods yield) of thirteen local okra genotypes across three locations: Kaha Horticulture Research Station, Kaluobia Governorate, Experimental Farm of the Desert Research Center at Ras Sudr, South Sinai Governorate location 1,2 (both salinity condition). In addition to group, the genotypes having similar response pattern over all environments. Moreover, studying the effect of salinity conditions on plant growth performance. Multienvironmental trials (MET), generally, have significant main effects and significant multiplicative genotype x environment interaction effect. AMMI (Additive main effect and multiplicative interaction analysis) offers a more appropriate statistical analysis to deal with such situations, compared to traditional methods like ANOVA, PCA and Linear regression.The results showed that (I) the obtained results satisfied one of the breeder's goals for selecting the best-suited genotype for cultivation in a wide salinity range of environments; (II) the analysis of variance of thirteen local okra genotypes in three locations (Kaha, Ras sudr 1 and Ras sudr 2) shows that genotype (G), environment (E) and their interaction were significante (P<0.01) for genotype; (III) the AMMI model was very effective for studying GEI interaction, the first bilinear AMMI (IPCA1) model terms accounted for 71.268%; (IV) no genotype has superiority performance in under all studied environments; although, the biplot shows that the genotypes BG9, BG6, BR27 and BR20 are best-suited for cultivation in a wide range of environments; (V) the salt stress has affected the Okra plant growth and development.

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Identification of Stability and Adaptability in Advanced Durum Genotypes Using AMMI Analysis

Cited by 14 publications

References 0 publications

Adaptability Study of Yield and Yield Related Trait Performance of Improved Food Barley (Hordeum Vulgare L.) Varieties in North Shewa Zone Oromia, Ethiopia

Adaptability Study of Yield and Yield Related Trait Performance of Improved Food Barley (Hordeum Vulgare L.) Varieties in North Shewa Zone Oromia, Ethiopia

Performance Stability Assessment in upland Cotton Strains throughout Cotton-growing Belt in Pakistan

SELECTION OF LOCAL OKRA (Abelmoschus esculentus L.) GENOTYPES FOR STABILITY UNDER SALINE CONDITIONS

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