Evaluation of Genotype × Environment Interactions in Chinese Spring Wheat by the AMMI Model, Correlation and Path Analysis

Abstract

An understanding of the characteristics of crop varieties and advanced lines could help improve their cultivation and to further enhance their potential. The objectives of this study were to estimate the genotype (G), environment (E) and genotype · environment (GE) interactions on the grain yield of Chinese spring wheat genotypes in 2000 and 2001 by the additive main effects and multiplicative interaction (AMMI) model, and to evaluate the relationships between yield and its components by correlation and path analysis. Grain yield varied from 3.9 to 5.2 t ha )1 , among which SW8188 had the highest yield performance, followed by 58769-6 and Chuannong 16. Three interaction principal components (IPC) accounted for a total of 79.99 % and 72.96 % of the interactions with 41.05 % and 52.08 % for the corresponding degrees of freedom in 2000 and 2001, respectively. When IPC3 was significant, the stability coefficient D i was more useful in the evaluation of the stability of each genotype. The estimates of D i in the 2 years indicated that the D i values varied between genotypes and years. The D i values ranged from 1.804 to 14.665 and 2.497 to 12.481 in 2000 and 2001 respectively. The suitable locations (environments) for all genotypes were characterized. These results would be useful for improving the Chinese spring wheat cultivation and improvement.

Path Analysis of Grain Yield and Yield Components and Some Agronomic Traits in Bread Wheat

“…Some researchers studied correlation coeffi cients of various grain yield components with grain yield of bread wheat for its genetic improvement (Uddin et al, 1997;Aycecik and Yildirim, 2006;Akram et al, 2008). Several researchers reported that wheat grain yield was positively correlated with 1000 seed weight (Li et al, 2006;Akram et al, 2008).…”

“…The correlation and path analysis of yield components are useful tools to determine valuable genotypes (Li et al, 2006). Path analysis is a reliable statistical method, which provides tool to quantify the interrelationship of various grain yield components and indicate whether the infl uence is directly refl ected in the grain yield or take some other path ways to produce an eff ect.…”

Influence of cytoplasmic male sterile and restorer lines on the grain yield stability of sunflower under different environmental conditions

“…The graphic presentation of genotype and environment AMMI analysis values facilitates the visual evaluation of genotype and environment behaviour (Kaya et al, 2002;Li et al, 2006). The layout of the environments and restorer lines on the individual AMMI1 and AMMI2 biplots of the cms lines exhibited considerable differences, confirming the existence of interactions between the environments and hybrid combinations.…”

“…The results of AMMI analysis can be graphically presented in biplot form, which shows the main additive effects and interaction effects for all the genotypes and environments (Gabriel, 1971;Yan and Tinker, 2005;Gauch, 2006;Li et al, 2006;Krizmanić et al, 2008).…”

The evaluation of seasonal stability for hardness of rice cakes in glutinous rice cultivars under Niigata Prefecture, Japan

“…モデル (Bradu andGabriel 1978, Gauch 1988, Gauch and Zobel 1988)では，いくつかの安定性指標値が提唱され， 品種における形質の安定性評価に用いられている (Zhang et al 1998a, 1998b, Purchase et al 2000, Li et al, 2006, Farshadfar 2008, Farshadfar et al 2011) ．また，遺伝子型の 効果を調整し， 主成分分析の可視化手段であるバイプロッ トの理解が容易な GGE バイプロットモデル (Gabriel 1971, Yan andKang 2003)は，よく用いられている手法で ある．これらの手法は，収量形質の安定性評価のために 考案され，用いられてきたが (Crossa 1990, 1991, Yan and Kang 2003) ，現在まで広範な農業形質 への応用例が報告されている (Zhang et al 2003, 八城ら 2004，Mohammadi et al 2011, Thangavel et al 2011 …”