AMMI Biplot Analysis for Stability of Grain Yield in Hybrid Rice (Oryza sativa L.)

Akter, A; M, Jamil Hassan; M, Umma Kulsum; Mr, Islam; Hossain, Kamal; M, Mamunur Rahman

doi:10.4172/jrr.1000126

Cited by 57 publications

(47 citation statements)

References 16 publications

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“…Therefore, GxE interaction is of major importance, because of provides information about the effect of test environments on genotype performance and plays an important key role for assessment of performance yield stability of the breeding genotype (Mohammadi et al 2013). Increasing genetic gain in yield performance is possible in part from narrowing the adaptation of genotypes and so maximizing yield in particular environments are described by GE interaction (Sabaghnia et al 2012).Grain yield is highly affected by many genetic factors as well as environmental fluctuations; because it is a complicated marker which is depend on somewhat other markers (Akter et al 2014). However, the G x E interaction is significant appearance for breeding program and interaction of genotypes (Sayar and Han, 2015).…”

Section: Introductionmentioning

confidence: 99%

STABILITY OF A CANDIDATE AND CULTIVARS (Hordeum vulgare L) BY GGE BIPLOT ANALYSIS OF MULTI-ENVIRONMENT YIELD TRIAL IN SPRING BARLEY

Kendal¹,

Doğan²

2015

AgricultForest

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SUMMARYThe explication of candidate line and new varieties is uncomfortable the affect of genotype-by-environment interaction (GEI). The AMMI (Additive main effects and multiplicative interaction) analysis and GEI is making to estimation grain yield and understands GxE interaction patterns by researches as differential ranking of variety yields in multi-environment trials. So, a candidate of release and three spring barley varieties which registered in different years were reclaimed at seven environments. The experiments were performed according to a complete randomized block design with four replications. The stability and superiority of genotypes for yield was determined using AMMI and GGE biplot analysis. Factors (G, GE, and GEI) were found to be highly significant (P < 0.01) for grain yield. AMMI analysis indicated that the major contributions to treatment sum of squares were environments (79.4%), GE (13.9%) and genotypes (6.4%), respectively, suggesting that grain yield of genotypes were effected environmental conditions. The GGE biplot indicated that PCA 1 and PCA 2 axes (Principal component) were significant as P<0.01 and supplied to 86.3% of the complete GxE interaction. The GGE biplot indicated that four mega-environment were occured in terms of varieties. The varieties and candidate line took part in an independent mega-environment. On the other hand, Candidate line showed general adaptability (E1, E2, E4, E5 and E7), while Altikat and Sur 93 showed specific adaptation to E3 and E6 respectively. According to both techniques, especially Sahin 91, Sur 93 and Altikat came forward with low yielding, while candidate line with high yielding, stability and general adaptability. Statistical results indicated that AMMI and GGE biplot are informative techniques to compare varieties with candidate lines to discover general stability, adaptation pattern for practical recommendations.

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Section: Introductionmentioning

confidence: 99%

STABILITY OF A CANDIDATE AND CULTIVARS (Hordeum vulgare L) BY GGE BIPLOT ANALYSIS OF MULTI-ENVIRONMENT YIELD TRIAL IN SPRING BARLEY

Kendal¹,

Doğan²

2015

AgricultForest

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“…The multiplicative interaction model was first introduced by Crossa (1990), then adapted to the agricultural framework as AMMI by Gauch and Zobel (1996). The main additive effect and multiplicative interaction (AMMI) analysis is a model that combines both additive and multiplicative components of a two way data structure that allows a breeder to obtain precise prediction on potential genotype and environmental effects on it (Akter et al, 2014). This method has proven effective because it intercepts a large part of the GEI sum of square, it obviously separates main and interaction AMMI effects.…”

Section: Introductionmentioning

confidence: 99%

Yield Stability of New Hybrid Rice Across Locations

Satoto¹,

Rumanti²,

Widyastuti³

2016

Agrivita.J.Agr.Sci

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The adaptation of hybrid rice varieties mostly are in specific location and season, but there are some of the varieties have a wide adaptation then adopted by the farmer in the large area. Replicated yield trials were conducted to study the stability of hybrid rice yield and identify the best location to optimize their yield per ha. The trials were conducted in three location such as Sukamandi, Salatiga and Malang during two seasons in 2011. Data across location and season were analazed by using AMMI and Eberhart Russel methods. The AMMI analysis showed that the IR79156A/PK88 was adaptable to favorable environments but unstable. This hybrid is always performing well and produce the higher yield compare to check variety. Some of other hybrids were good only in specific location, i.e. IR62829A/BP2280-1E-12-22 and IR58029A/ BP2280-1E-12-22. Those hybrids produced higher yield in Salatiga and Malang, respectively. Seem to AMMI analysis, the result of Eberhart and Russell method also showed that IR79156A/PK81 was the best hybrid with regression slope (b) around 1 with the yield average higher than average of all hybrids. It indicated that this hybrid has a wide adaptation and probably can be cultivated in the wider ecosystem.

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“…Adaptability and yield stability of a plant genotype can be determined through multi-location trials (Tollenaar and Lee, 2002;Anputhas et al, 2011;Akter et al, 2014). The objectives of this study were to examine yield performance of promising amphibious red rice lines grown on 6 different growing environments either in upland or irri-gated rice systems, and to determine the adaptability and yield stability of the lines on the island of Lombok.…”

Section: Introductionmentioning

confidence: 99%

“…The magnitude of the genotype by environment interactions needs to be considered to avoid loss of superior genotypes. Stable genotypes with high yields are needed by farmers having small plots of land to reduce the risk of crop failure due to changes in environmental factors that cannot be predicted (Mut et al, 2010;Akter et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…This means that their yield potential might be stable across diverse growing environments, and this also means that they might be highly adaptive across environments. According to Akter et al (2014), in countries of increasing population consuming rice, high yielding stable cultivars with high adaptation capabilities to diverse environments need to be developed. Or otherwise, as stated by Anputhas et al (2011), it is required to find out "which won where", by conducting multi-location trials in different locations or seasons.…”

Section: Introductionmentioning

confidence: 99%

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Yield Performance and Adaptation of Promising Amphibious Red Rice Lines on Six Growing Environments in Lombok, Indonesia

Aryana

Wangiyana

2016

Agrivita.J.Agr.Sci

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The objectives of this study were to examine yield performance of promising amphibious red rice lines, and to evaluate their adaptability to six growing environments in Lombok, Indonesia. Ten promising amphibious red rice lines were tested together with their three parents and one national cultivar (Aek Sibundong), during the rainy extended to dry season 2014 (JanuaryJune 2014). The ten promising lines were obtained from two population sources, while the three parents were AKBC52, AKBC86, and a local cultivar, i.e. Kala Isi Tolo (KIT). The testing environments were lowland in Mambalan village (West Lombok), medium highland in Mantang village (Central Lombok), and highland in East Sembalun village (East Lombok), and each location consisted of two systems, i.e. flooded and dry (upland) systems. The experiment in each environment was designed according to Randomized Complete Block Design, with three replications and 14 genotypes as the treatments. Adaptation analysis was based on ANOVA using AMMI and Biplot. The results indicated that among the 14 genotypes, showed the highest yield, with an average of 7.8 t ha -1 dry seeds. There was a significant Genotype x Environment interaction on the dry seed yield. Biplot analysis indicated that G2(F2BC4A52-44) and G8(F2BC4A52-37) were stable genotypes across locations.

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AMMI Biplot Analysis for Stability of Grain Yield in Hybrid Rice (Oryza sativa L.)

Cited by 57 publications

References 16 publications

STABILITY OF A CANDIDATE AND CULTIVARS (Hordeum vulgare L) BY GGE BIPLOT ANALYSIS OF MULTI-ENVIRONMENT YIELD TRIAL IN SPRING BARLEY

STABILITY OF A CANDIDATE AND CULTIVARS (Hordeum vulgare L) BY GGE BIPLOT ANALYSIS OF MULTI-ENVIRONMENT YIELD TRIAL IN SPRING BARLEY

Yield Stability of New Hybrid Rice Across Locations

Yield Performance and Adaptation of Promising Amphibious Red Rice Lines on Six Growing Environments in Lombok, Indonesia

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