Introgression of the coupled <i>Fhb1-Sr2</i> to increase Fusarium head blight and stem rust resistance of elite wheat cultivars

Raffo, Miguel Angel; Azzimonti, Gustavo; Pereyra, Silvia; Pritsch, Clara; Lado, Bettina; Dreisigacker, Susanne; Quincke, Martín; Castro, Ariel J.; Silva, P.; Garcia, Richard L.; Pereira, Fábio Henrique; Germán, Silvia

doi:10.1017/s1479262122000107

Cited by 2 publications

(1 citation statement)

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“…This was initially achieved through marker-assisted selection (MAS, Ribaut and Hoisington, 1998;Collard and Mackil, 2007;Crossa et al, 2017). The genetic improvements achieved with MAS were mainly relevant for traits affected by the effects of major quantitative trait loci "QTL" (Buerstmayr et al, 2009;Miedaner and Korzun, 2012;Dreisigacker et al, 2016;Raffo et al, 2022a). The introduction of genotyping techniques using numerous markers spread over the whole genome has made it possible to perform genomic selection (GS, Meuwissen et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Genomic prediction for root and yield traits of barley under a water availability gradient. A case study comparing different spatial adjustments

Tessema,

Raffo,

Guo

et al. 2023

Preprint

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Background In drought periods, water use efficiency depends on the capacity of roots to extract water from deep soil. A semi-field phenotyping facility (RadiMax) was used to investigate above-ground and root traits in spring barley when grown under a water availability gradient. Above-ground traits included grain yield, grain protein concentration, grain nitrogen removal, and thousand kernel weight. Root traits were obtained through digital images measuring the root length at different depths. Two nearest-neighbor adjustments (M1 and M2) to model spatial variation were used for genetic parameter estimation and genomic prediction (GP). M1 and M2 used (co)variance structures and differed in the distance function to calculate between-neighbor correlations. M2 was the most developed adjustment, as accounted by the Euclidean distance between neighbors. Results The estimated heritabilities (${\widehat{h}}^{2}$) ranged from low to medium for root and above-ground traits. The genetic coefficient of variation ($GCV$) ranged from 3.2 to 7.0% for above-ground and 4.7 to 10.4% for root traits, indicating good breeding potential for the measured traits. The highest $GCV$ observed for root traits revealed that significant genetic change in root development can be achieved through selection. We studied the genotype-by-water availability interaction, but no relevant interaction effects were detected. GP was assessed using leave-one-line-out (LOO) cross-validation. The predictive ability (PA) estimated as the correlation between phenotypes corrected by fixed effects and genomic estimated breeding values ranged from 0.33 to 0.49 for above-ground and 0.15 to 0.27 for root traits, and no substantial variance inflation in predicted genetic effects was observed. Significant differences in PA were observed in favor of M2. Conclusions The significant $GCV$ and the accurate prediction of breeding values for above-ground and root traits revealed that developing genetically superior barley lines with improved root systems is possible. In addition, we found significant spatial variation in the experiment, highlighting the relevance of correctly accounting for spatial effects in statistical models. In this sense, the proposed nearest-neighbor adjustments are flexible approaches in terms of assumptions that can be useful for semi-field or field experiments.

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Section: Introductionmentioning

confidence: 99%

Genomic prediction for root and yield traits of barley under a water availability gradient. A case study comparing different spatial adjustments

Tessema,

Raffo,

Guo

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments

Tessema,

Raffo,

Guo

et al. 2024

Plant Methods

View full text Add to dashboard Cite

Background In drought periods, water use efficiency depends on the capacity of roots to extract water from deep soil. A semi-field phenotyping facility (RadiMax) was used to investigate above-ground and root traits in spring barley when grown under a water availability gradient. Above-ground traits included grain yield, grain protein concentration, grain nitrogen removal, and thousand kernel weight. Root traits were obtained through digital images measuring the root length at different depths. Two nearest-neighbor adjustments (M1 and M2) to model spatial variation were used for genetic parameter estimation and genomic prediction (GP). M1 and M2 used (co)variance structures and differed in the distance function to calculate between-neighbor correlations. M2 was the most developed adjustment, as accounted by the Euclidean distance between neighbors. Results The estimated heritabilities ($${\widehat{h}}^{2}$$ h ^ 2 ) ranged from low to medium for root and above-ground traits. The genetic coefficient of variation ($$GCV$$ GCV ) ranged from 3.2 to 7.0% for above-ground and 4.7 to 10.4% for root traits, indicating good breeding potential for the measured traits. The highest $$GCV$$ GCV observed for root traits revealed that significant genetic change in root development can be achieved through selection. We studied the genotype-by-water availability interaction, but no relevant interaction effects were detected. GP was assessed using leave-one-line-out (LOO) cross-validation. The predictive ability (PA) estimated as the correlation between phenotypes corrected by fixed effects and genomic estimated breeding values ranged from 0.33 to 0.49 for above-ground and 0.15 to 0.27 for root traits, and no substantial variance inflation in predicted genetic effects was observed. Significant differences in PA were observed in favor of M2. Conclusions The significant $$GCV$$ GCV and the accurate prediction of breeding values for above-ground and root traits revealed that developing genetically superior barley lines with improved root systems is possible. In addition, we found significant spatial variation in the experiment, highlighting the relevance of correctly accounting for spatial effects in statistical models. In this sense, the proposed nearest-neighbor adjustments are flexible approaches in terms of assumptions that can be useful for semi-field or field experiments.

show abstract

Introgression of the coupled Fhb1-Sr2 to increase Fusarium head blight and stem rust resistance of elite wheat cultivars

Cited by 2 publications

References 46 publications

Genomic prediction for root and yield traits of barley under a water availability gradient. A case study comparing different spatial adjustments

Genomic prediction for root and yield traits of barley under a water availability gradient. A case study comparing different spatial adjustments

Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments

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