Correction to: Improving the baking quality of bread wheat by genomic selection in early generations

Michel, Sebastian; Kummer, Christian; Gallee, Martin; Hellinger, Jakob; Ametz, Christian; Akgöl, Batuhan; Epure, Doru Gabriel; Güngör, Hüseyin; Löschenberger, Franziska; Buerstmayr, Hermann

doi:10.1007/s00122-018-3049-y

Cited by 2 publications

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“…The most used traits of study in genome selection experiments are related to quality improvement involving the use of different prediction models divided between parametric and non-parametric. Michel et al (2018) proved the benefit of GS over marker assisted selection investigating the prediction of dough rheological traits in early generations and adopting the parametric RRBLUP, W-BLUP function. Genomic prediction models are routinely used in the CIMMYT spring bread wheat program since 2013 (Guzman et al, 2016).…”

Section: Genomic Selectionmentioning

confidence: 99%

Genetic approaches to exploit landraces for improvement of Triticum turgidum ssp. durum in the age of climate change

et al. 2023

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Addressing the challenges of climate change and durum wheat production is becoming an important driver for food and nutrition security in the Mediterranean area, where are located the major producing countries (Italy, Spain, France, Greece, Morocco, Algeria, Tunisia, Turkey, and Syria). One of the emergent strategies, to cope with durum wheat adaptation, is the exploration and exploitation of the existing genetic variability in landrace populations. In this context, this review aims to highlight the important role of durum wheat landraces as a useful genetic resource to improve the sustainability of Mediterranean agroecosystems, with a focus on adaptation to environmental stresses. We described the most recent molecular techniques and statistical approaches suitable for the identification of beneficial genes/alleles related to the most important traits in landraces and the development of molecular markers for marker-assisted selection. Finally, we outline the state of the art about landraces genetic diversity and signature of selection, already identified from these accessions, for adaptability to the environment.

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Section: Genomic Selectionmentioning

confidence: 99%

Genetic approaches to exploit landraces for improvement of Triticum turgidum ssp. durum in the age of climate change

et al. 2023

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“…Similarly, Hayes et al (2017) conducted a study on genomic prediction of 19 end-use quality traits and observed prediction accuracy greater than .5 for many of the traits (Table 3). Besides this, Michel et al (2018) also carried out GS of baking quality in wheat and reported that an acceptable prediction accuracy of .38-.63 can be obtained in all dough rheological traits.…”

Section: Genomic Selection (Gs)mentioning

confidence: 99%

“…MAS cannot account for these interaction effects because most of the markers are initially developed from a mapping population segregating for a single or few QTL which usually leads to overestimation of the QTL effect. Therefore, MAS is mostly constrained to simply inherited or monogenic traits (Michel et al, 2018). In addition, MAS also does not factor the environmental Frontiers in Genetics frontiersin.org influence on the trait leading to lower phenotype prediction accuracy (Xu and Crouch, 2008;Heffner et al, 2009).…”

Section: Marker-assisted Selection (Mas)mentioning

confidence: 99%

“…The training population must be representative of the testing population to maximize the GEBV accuracy (Heffner et al, 2009). These training populations are advanced breeding materials that have been well characterized phenotypically and the GEBV of the testing population genotypes is predicted based on their genetic relation with the training population (Guzman et al, 2016;Michel et al, 2017;Michel et al, 2018). To assure proper selection, well-known check varieties, such as varieties with both good and poor breadmaking quality, are included in the GS process that will help in validation of the selection as well as provide a reference for quality profiles (Guzman et al, 2016).…”

Section: Genomic Selection (Gs)mentioning

confidence: 99%

“…GS allows a 2-3 years earlier selection of many end-use quality traits in wheat than traditional selections and it is done on a much broader population allowing the selection of lines with good end-use quality and higher yield (Michel et al, 2018). Table 3 summarizes some of the GS studies carried out over the last decade for end-use quality traits in wheat.…”

Section: Genomic Selection (Gs)mentioning

confidence: 99%

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Wheat end-use quality: State of art, genetics, genomics-assisted improvement, future challenges, and opportunities

et al. 2023

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Wheat is the most important source of food, feed, and nutrition for humans and livestock around the world. The expanding population has increasing demands for various wheat products with different quality attributes requiring the development of wheat cultivars that fulfills specific demands of end-users including millers and bakers in the international market. Therefore, wheat breeding programs continually strive to meet these quality standards by screening their improved breeding lines every year. However, the direct measurement of various end-use quality traits such as milling and baking qualities requires a large quantity of grain, traits-specific expensive instruments, time, and an expert workforce which limits the screening process. With the advancement of sequencing technologies, the study of the entire plant genome is possible, and genetic mapping techniques such as quantitative trait locus mapping and genome-wide association studies have enabled researchers to identify loci/genes associated with various end-use quality traits in wheat. Modern breeding techniques such as marker-assisted selection and genomic selection allow the utilization of these genomic resources for the prediction of quality attributes with high accuracy and efficiency which speeds up crop improvement and cultivar development endeavors. In addition, the candidate gene approach through functional as well as comparative genomics has facilitated the translation of the genomic information from several crop species including wild relatives to wheat. This review discusses the various end-use quality traits of wheat, their genetic control mechanisms, the use of genetics and genomics approaches for their improvement, and future challenges and opportunities for wheat breeding.

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Correction to: Improving the baking quality of bread wheat by genomic selection in early generations

Cited by 2 publications

References 0 publications

Genetic approaches to exploit landraces for improvement of Triticum turgidum ssp. durum in the age of climate change

Genetic approaches to exploit landraces for improvement of Triticum turgidum ssp. durum in the age of climate change

Wheat end-use quality: State of art, genetics, genomics-assisted improvement, future challenges, and opportunities

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