Points de repère dans l'analyse de la stabilité et de l'interaction génotype-milieu en amélioration des plantes

Brancourt-Hulmel, M.; Biarnès-Dumoulin, V.; Denis, Jacques

doi:10.1051/agro:19970403

Cited by 42 publications

(23 citation statements)

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“…However, the fact that the environmental index is not independent of the performances 473 of the studied genotypes can introduce a bias in the estimate of the regression parameters 474 (Crossa 1990). Moreover, the percentage of G×E variance explained is often very low, below 475 25% (for a review, see Brancourt-Hulmel et al 1997). In our case, the number of environments 476 considered, two, was probably too few for a precise estimate of the regression slope for each 477 genotype.…”

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Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress and performance under normal cropping conditions in rice

Hassen

Bartholome

Valè³

et al. 2018

Preprint

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Developing rice varieties adapted to alternate wetting and drying water management is crucial for the sustainability of irrigated rice cropping systems. Here we report the first study exploring the feasibility of breeding rice for adaptation to alternate wetting and drying using genomic prediction methods that account for genotype by environment interactions. Two breeding populations (a reference panel of 284 accessions and a progeny population of 97 advanced lines) were evaluated under alternate wetting and drying and continuous flooding management systems. The accuracy of genomic prediction for response variables (index of relative performance and the slope of the joint regression) and for multi-environment genomic prediction models were compared. For the three traits considered (days to flowering, panicle weight and nitrogen-balance index), significant genotype by environment interactions were observed in both populations. In cross validation, prediction accuracy for the index was on average lower (0.31) than that of the slope of the joint regression (0.64) whatever the trait considered. Similar results were found for across population validation (progeny validation). Both cross-validation and progeny validation experiments showed that the performance of multi-environment models predicting unobserved phenotypes of untested entrees was similar to the performance of single environment models with differences in accuracy ranging from - 6% to 4% depending on the trait and on the statistical model concerned. The accuracy of multi-environment models predicting unobserved phenotypes of entrees evaluated under both water management systems outperformed single environment models by an average of 30%. Practical implications for breeding rice for adaptation to AWD are discussed.

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confidence: 99%

Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress and performance under normal cropping conditions in rice

Hassen

Bartholome

Valè³

et al. 2018

Preprint

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“…Multiparametric models, AMMI (Additive Main Effects and Multiplicative Interaction) (Gauch and Zobel, 1988), SREG (Crossa and Cornelius, 1997), and factorial regression (Denis, 1988) are suitable for interpreting the response of genotypes to different environments. Among models proposed in studying GE interaction (Crossa, 1990; Brancourt‐Hulmel et al, 1997), the SREG model (Crossa and Cornelius, 1997) has been chosen for the present study because it simultaneously considers G and GE interaction effects for visualization of cultivar performance across different environments, allowing interpretations in terms of mean performance and stability of genotypes.…”

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Performance of Crosses among French and Spanish Maize Populations across Environments

et al. 2005

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teristics such as early vigor, earliness, resistance to stem lodging, and relative resistance to drought stress. In Heterotic patterns among European maize (Zea mays L.) populaaddition, flint kernels possess a better potential than tions are strongly affected by genotype ϫ environment (GE) interacother kernels for developing high quality flours. Theretions and no single heterotic pattern has been identified so far that is not influenced by GE interaction. The objectives of this work fore, the high quality flour producers flint ϫ flint maize were to study (i) the mean performance and stability of the heterotic hybrids could be a good alternative to the most common patterns 'Humid Spain ϫ Southern France' and 'Dry Spain ϫ Humid hybrids used in Europe, European flint ϫ American Spain' and (ii) the influence of some environmental and genotypic dent, mostly in regions where earliness is required. covariates on G and E main effects and their interaction. We studied Heterotic patterns have been found among maize the GE interaction for grain yield in eight environments using Sites germplasms from different European countries (Mise-Regression (SREG) and factorial regression models. The biplot obvic, 1989; Ordá s, 1991; Radovic and Jelovac, 1995; tained from the SREG model allowed visual cultivar evaluation. The Revilla et al., 2002). A diallel among six French and six factorial regression model incorporated genotypic and environmen-Spanish local populations was evaluated at four locatal covariates that enhanced biological interpretation of GE interactions and 2 yr and analyzed following the Analysis II of tion. The heterotic patterns Humid Spain ϫ Southern France and Dry Spain ϫ Humid Spain had similar mean performance across environ-Gardner and Eberhart (1966) (unpublished). Different ments, but the former, represented by the cross Lazcano ϫ Millette heterotic patterns were obtained for each location, aldu Lauragais, was more stable. Effects of G, E, and GE for grain though they could be grouped in two main heterotic yield were mainly due to earliness, vigor effects, and/or environmental patterns, Humid Spain ϫ Dry Spain and Humid Spain ϫ factors related to cold stress. An adequately long vegetative cycle Southern France. Additionally, the year ϫ population along with early vigor had a great influence on the mean grain yield interaction was significant for grain yield and clearly performance of Lazcano ϫ Millette du Lauragais. Additionally, its affected the ranking of populations (unpublished data). intermediate number of days to silking and tolerance to temperatureHeterotic patterns among European maize populations stresses could be related to its stability. Breeding for tolerance to are strongly affected by GE interactions and no single temperature stresses could render more stable maize genotypes.

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“…An AMMI, joint regression or factorial regression model was considered adequate if: (i) genotype variation for its parameters was significant at P < 0.01 (as more liberal P levels implied, for experiments not repeated in time, a greater danger to model GL effects with limited repeatability in time); and (ii) its residual GL interaction, tested on the pooled experimental error, was below P < 0.01 significance. The best unidimensional model was selected on the basis of the mean square of its GL interaction parameter, because this value accounts for the two determinants of model predictive ability, namely accuracy (as high sum of squares) and parsimony (as low degrees of freedom) (Brancourt-Hulmel et al 1997). Factorial regression-modelled responses of cultivars to one environmental variable were graphically expressed as nominal values of yield or final row cover, to linearize them and improve thereby their display.…”

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confidence: 99%

Response of Mediterranean Tall Fescue Cultivars to Contrasting Agricultural Environments and Implications for Selection

Pecetti

Annicchiarico

Abdelguerfi

et al. 2011

Journal of Agronomy and Crop Science

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Extensive livestock is a basic socio‐economic feature of the Mediterranean region whose environmental and economic sustainability depends on the ability of forage resources to withstand climatically stressful conditions. Perennial forages such as tall fescue can be a valuable alternative to annuals, if they can survive across successive summer droughts. Three‐year dry matter yield and plant survival of five cultivars of Mediterranean‐type tall fescue were evaluated in six sites of Algeria, France, Italy, Morocco and Portugal, with the following objectives: (i) modelling adaptive responses and targeting cultivars as a function of environmental factors associated with genotype × location interaction; and (ii) defining plant ideotypes, adaptation strategies and opportunities for international co‐operation for regional breeding programmes. Site mean yield and winter temperatures were positively correlated, whereas sward persistence was positively correlated to lower site heat and drought stress. Cultivar adaptation was adequately modelled by factorial regression as a function of site spring–summer (April–September) drought stress (long‐term potential evapotranspiration minus actual water available) for yield, and annual drought stress for final persistence. Specific‐adaptation responses to high‐ or low‐stress environments emerged which were consistent with drought‐stress levels of cultivar selection environments. However, the wide‐adaptation response of cultivar Flecha suggested that breeding for wide adaptation can be feasible.

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Points de repère dans l'analyse de la stabilité et de l'interaction génotype-milieu en amélioration des plantes

Cited by 42 publications

References 42 publications

Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress and performance under normal cropping conditions in rice

Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress and performance under normal cropping conditions in rice

Performance of Crosses among French and Spanish Maize Populations across Environments

Response of Mediterranean Tall Fescue Cultivars to Contrasting Agricultural Environments and Implications for Selection

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