Half a Century of Studying Genotype × Environment Interactions in Plant Breeding Experiments

Elias, Ani A.; Robbins, Kelly R.; Doerge, R. W.; Tuinstra, Mitchell R.

doi:10.2135/cropsci2015.01.0061

Cited by 89 publications

(83 citation statements)

References 88 publications

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“…1) with low SE values (Table III). A crossover-type GE interaction would mean that genotypes show change in ranking of response for the specific trait depending on different growing environments (Elias et al 2016). These results indicate that the HRS wheat genotypes might vary in stability for FAC and that certain HRS wheat genotypes such as Glenn have high static stability for wheat FAC across growing locations.…”

Section: Resultsmentioning

confidence: 93%

“…Three lines (G21, G27, and G50) also had consistently low levels of FAC across locations ( Fig. The ANOVA cannot be used to identify the type of GE interaction, although it may be used to statistically evaluate the significance (Elias et al 2016). In contrast, G12 and G26 did not show low SE values despite low levels of FAC values (Table III).…”

Section: Resultsmentioning

confidence: 95%

“…The GGE plot (Fig. The biplot based on the GGE model displays variation associated with genotype main effect and GE interaction (Yan and Tinker 2005;Elias et al 2016). This result indicates that the genotype × location interaction is of the noncrossover type for FAC in this research.…”

Section: Resultsmentioning

confidence: 99%

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Variation of Free Asparagine Concentration and Association with Quality Parameters for Hard Red Spring Wheat Grown in North Dakota

2017

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Cereal Chem. 94(4):712-716Free asparagine in wheat is known to be a precursor for the formation of acrylamide, which is unacceptable to consumers owing to its potential risks to human health. This research was performed to determine variation of free asparagine concentration (FAC) in hard red spring (HRS) wheat grown in North Dakota. Quality traits and FAC were analyzed for 75 HRS wheat genotypes grown at three locations. The ANOVA indicated that growing location had a strong effect on FAC. The main effect of genotype and interaction of genotype × location were also highly significant (P < 0.001).The genotype × location interaction was also explored graphically using a biplot of principal components calculated from the genotype and genotype × environment interaction model. The biplot analysis revealed that the pattern of interaction of genotype × location might be a noncrossover type. Certain HRS genotypes were identified to have consistently low FAC across growing locations. The FAC showed low genotypic correlations with quality traits, indicating low level of linkage between FAC and quality traits for HRS wheat genotypes. † Corresponding

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Section: Resultsmentioning

confidence: 93%

Section: Resultsmentioning

confidence: 95%

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Variation of Free Asparagine Concentration and Association with Quality Parameters for Hard Red Spring Wheat Grown in North Dakota

2017

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“…() and Elias et al . (). Plant breeding experiments can involve the phenotyping of lines for traits that require a multiphase experiment.…”

Section: Some Historymentioning

confidence: 97%

Multiphase experiments in practice: A look back

Brien

2017

Aus NZ J of Statistics

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Summary Multiphase experiments are introduced and an overview of their design and analysis as it is currently practised is given via an account of their development since 1955 and a literature survey. Methods that are available for designing and analysing them are outlined, with an emphasis on making explicit the role of the model in their design. The availability of software and its use is described in detail. Overall, while multiphase designs have been applied in areas such as plant breeding, plant pathology, greenhouse experimentation, product storage, gene expression studies, and sensory evaluation, their deployment has been limited.

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“…One of the models used to understand the G ´ E interaction and adaptation is the additive main effect and multiplicative interaction (AMMI) model (Gauch, 1988(Gauch, , 1992Gauch et al, 2008;Malosetti et al, 2013). In addition, this method can be used for variety stability analysis (Elias et al, 2016). This method also estimates individual contribution to the interaction for each genotype and environment.…”

Section: Breeding Progress Adaptation and Stability For Grain Yieldmentioning

confidence: 99%

Breeding Progress, Adaptation, and Stability for Grain Yield in Moroccan Lentil Improved Varieties

et al. 2019

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Lentil (Lens culinaris Medik.) is an important grain legume worldwide. It contributes to sustain farming through its ability to fix N in soils and to enhance human nutrition and health thanks to its nutritionally rich grains. In Morocco, it is consumed as staple food by a large proportion of the population. However, the country depends on importation to meet the national demand at the cost of losing valuable currencies. One of the factors limiting lentil production in Morocco is the availability and use of certified seeds of improved varieties. In this research, we aimed at evaluating genetic gain from breeding, adaptation and stability of available improved varieties to make recommendations aiming to enhance their use and adoption by farmers. We studied 9 registered varieties and two candidate lines in 14 different environments for grain yield. All the tested varieties and candidate lines had higher yield than the actual average yield of lentil in Morocco. Significant increase and higher genetic gain over the local check were observed from 1989 to 2018. Up to 35 kg ha−1 yr−1 genetic gain for grain yield was obtained. The yield advantage of improved varieties over the local check increased from 16 to 67% from 1989 to 2018. Most of varieties have wide adaptation and respond positively to the increase of environmental index. The environmental factor in terms of the amount and distribution of rainfall has a determinant effect on grain yield for all varieties and candidate lines. However, differences in the degree of adaptation and stability of these varieties were observed. These results could help draw more attention to lentil in Morocco and define efficient strategies that make the best varieties available for farmers from the perspective of enhancing national production.

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Half a Century of Studying Genotype × Environment Interactions in Plant Breeding Experiments

Cited by 89 publications

References 88 publications

Variation of Free Asparagine Concentration and Association with Quality Parameters for Hard Red Spring Wheat Grown in North Dakota

Variation of Free Asparagine Concentration and Association with Quality Parameters for Hard Red Spring Wheat Grown in North Dakota

Multiphase experiments in practice: A look back

Breeding Progress, Adaptation, and Stability for Grain Yield in Moroccan Lentil Improved Varieties

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