Speed breeding for multiple disease resistance in barley

Hickey, Lee T.; Germán, Silvia; Pereyra, Silvia; Dí­az, Jorge Ferro; Ziems, Laura; Fowler, Ryan; Platz, G. J.; Franckowiak, J. D.; Dieters, Mark J.

doi:10.1007/s10681-016-1803-2

Cited by 123 publications

(109 citation statements)

References 33 publications

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“…Our previous study (Gaynor et al 2017) assumed two cycles of population improvement per year, which delivered about 2.5 times more genetic gain than the conventional program with phenotypic selection. The main driver of this genetic gain is shortening of the breeding cycle with genomic selection, and there is scope for even shorter breeding cycle time by more aggressive use of greenhouses and speed breeding in the population improvement part (Christopher et al 2015; Hickey et al 2017b; Watson et al 2018). …”

Section: Discussionmentioning

confidence: 99%

“…While speed breeding protocols are continually improved (e.g. Christopher et al 2015; Hickey et al 2017b; Watson et al 2018), the explored number of cycles per year (from one to six) should be put into a context of a particular crop. For example, speed breeding has achieved six cycles per year in spring wheat, but the number of cycles in winter wheat would be less due to the requirement for vernalisation.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Gaynor et al (2017) simulated two cycles of population improvement per year, which reduced cycle time eightfold compared to the conventional program. Cycle time can be decreased even further with intensive use of greenhouses and speed breeding (Christopher et al 2015; Hickey et al 2017b; Watson et al 2018). Factoring this potential into the breeder’s equation suggests that the large genetic gain in Gaynor et al (2017) could be increased even more with more than two cycles per year.…”

Section: Introductionmentioning

confidence: 99%

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Optimal cross selection for long-term genetic gain in two-part programs with rapid recurrent genomic selection

2018

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Key message Optimal cross selection increases long-term genetic gain of two-part programs with rapid recurrent genomic selection. It achieves this by optimising efficiency of converting genetic diversity into genetic gain through reducing the loss of genetic diversity and reducing the drop of genomic prediction accuracy with rapid cycling. AbstractThis study evaluates optimal cross selection to balance selection and maintenance of genetic diversity in two-part plant breeding programs with rapid recurrent genomic selection. The two-part program reorganises a conventional breeding program into a population improvement component with recurrent genomic selection to increase the mean value of germplasm and a product development component with standard methods to develop new lines. Rapid recurrent genomic selection has a large potential, but is challenging due to genotyping costs or genetic drift. Here we simulate a wheat breeding program for 20 years and compare optimal cross selection against truncation selection in the population improvement component with one to six cycles per year. With truncation selection we crossed a small or a large number of parents. With optimal cross selection we jointly optimised selection, maintenance of genetic diversity, and cross allocation with AlphaMate program. The results show that the two-part program with optimal cross selection delivered the largest genetic gain that increased with the increasing number of cycles. With four cycles per year optimal cross selection had 78% (15%) higher long-term genetic gain than truncation selection with a small (large) number of parents. Higher genetic gain was achieved through higher efficiency of converting genetic diversity into genetic gain; optimal cross selection quadrupled (doubled) efficiency of truncation selection with a small (large) number of parents. Optimal cross selection also reduced the drop of genomic selection accuracy due to the drift between training and prediction populations. In conclusion optimal cross selection enables optimal management and exploitation of population improvement germplasm in two-part programs.Electronic supplementary materialThe online version of this article (10.1007/s00122-018-3125-3) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal cross selection for long-term genetic gain in two-part programs with rapid recurrent genomic selection

2018

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“…This has encouraged researchers to develop high-throughput strategies that focus on key proxy traits linked to root system architecture displayed in the field (Petrarulo et al, 2015;Richard et al, 2015). Some degree of infrastructure is still required to perform the assay, but some success in breeding has already been shown (Hickey et al, 2017). It involves growing genotypes in plastic transparent pots under semicontrolled conditions in the glasshouse, whereby the SRA can be measured without removing the seedlings from the soil.…”

Section: Root System Architecture and Its Association With Yield Undementioning

confidence: 99%

“…It involves growing genotypes in plastic transparent pots under semicontrolled conditions in the glasshouse, whereby the SRA can be measured without removing the seedlings from the soil. Some degree of infrastructure is still required to perform the assay, but some success in breeding has already been shown (Hickey et al, 2017). Another method for characterization of mature roots is the "basket" or "pasta strainer" method.…”

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confidence: 99%

Root System Architecture and Its Association with Yield under Different Water Regimes in Durum Wheat

et al. 2018

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Durum wheat (Triticum durum Desf.) is a major cereal crop grown globally, but its production is often hindered by droughts. Breeding for adapted root system architecture should provide a strategic solution for better capturing moisture. The aim of this research was to adapt low‐cost and high‐throughput methods for phenotyping root architecture and exploring the genetic variability among 25 durum genotypes. Two protocols were used: the “clear pot” for seminal root and the “pasta strainer” to evaluate mature roots. Analysis of variance revealed significant segregation for all measured traits with strong genetic control. Shallow and deep root classes were determined with different methods and then tested in yield trials at five locations with different water regimes. Simple trait measurements did not correlate to any of the traits consistently across field sites. Multitrait classification instead identified significant superiority of deep‐rooted genotypes with 16 to 35% larger grains in environments with limited moisture, but 9 to 24% inferior in the drip irrigated site. Combined multitrait classification identified a 28 to 42% advantage in grain yield for the class with deeper roots at two environments where moisture was limited. Further discrimination revealed that yield advantage of 37 to 38% under low moisture could be achieved by the deepest root types, but that it also caused a 20 to 40% yield penalty in moisture‐rich environments compared with the shallowest root types. In conclusion, the proposed methodologies enable low‐cost and quick characterization of root behavior in durum wheat with significant distinction of agronomic performance.

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Opportunities for Developing Salt‐tolerant Wheat and Barley Varieties

Asif

Pearson

Schilling

et al. 2019

Annual Plant Reviews Online

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Salinity is a major constraint limiting crop yields around the world. While considerable research to understand and enhance the salinity tolerance of plants has occurred, few commercially available salt‐tolerant bread wheat ( Triticum aestivum ), durum wheat ( Triticum durum ), or barley ( Hordeum vulgare ) varieties have been developed for farmers. This lack of salt‐tolerant varieties is despite all publications highlighting issues around global food security, the need to increase crop production to feed an increasing human population, the effects of more variable climate and farmland being degraded by abiotic stresses. We explore the progress to date in using forward and reverse genetic approaches to identify loci and candidate genes linked to plant salinity‐tolerance sub‐traits, and why, despite substantial research in understanding salt tolerance mechanisms, very few genes or loci have been introduced into commercially available varieties. We propose the need for a greater focus on validating glasshouse‐based findings of salt tolerance in saline fields, the fine mapping of quantitative trait loci linked to salt‐tolerance sub‐traits to underlying genes, and the use of marker‐assisted selection and speed breeding to pyramid beneficial salinity‐tolerance sub‐traits to develop high‐yielding bread wheat, durum wheat, and barley varieties.

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Speed breeding for multiple disease resistance in barley

Cited by 123 publications

References 33 publications

Optimal cross selection for long-term genetic gain in two-part programs with rapid recurrent genomic selection

Optimal cross selection for long-term genetic gain in two-part programs with rapid recurrent genomic selection

Root System Architecture and Its Association with Yield under Different Water Regimes in Durum Wheat

Opportunities for Developing Salt‐tolerant Wheat and Barley Varieties

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