2016
DOI: 10.3389/fgene.2016.00201
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Mining Centuries Old In situ Conserved Turkish Wheat Landraces for Grain Yield and Stripe Rust Resistance Genes

Abstract: Wheat landraces in Turkey are an important genetic resource for wheat improvement. An exhaustive 5-year (2009–2014) effort made by the International Winter Wheat Improvement Programme (IWWIP), a cooperative program between the Ministry of Food, Agriculture and Livestock of Turkey, the International Center for Maize and Wheat Improvement (CIMMYT) and the International Center for Agricultural Research in the Dry Areas (ICARDA), led to the collection and documentation of around 2000 landrace populations from 55 p… Show more

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Cited by 27 publications
(29 citation statements)
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“…and 59% adult plant resistance in three years respectively which is similar to the stripe rust response in Izmir to Turkish landraces reported by Sehgal et al, (2016). The population structure of 600 bread wheat landraces clustered the population into two major clusters mainly from Syrian and Turkish origin with a degree of admixture.…”
Section: Phenotypic Variability and Population Structuresupporting
confidence: 81%
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“…and 59% adult plant resistance in three years respectively which is similar to the stripe rust response in Izmir to Turkish landraces reported by Sehgal et al, (2016). The population structure of 600 bread wheat landraces clustered the population into two major clusters mainly from Syrian and Turkish origin with a degree of admixture.…”
Section: Phenotypic Variability and Population Structuresupporting
confidence: 81%
“…There is increased use of wheat landraces for the enhancement of genetic diversity and the mining of desirable genes . Therefore, wheat landraces are considered as a key genetic resource for wheat breeding (Sehgal D et al, 2016). Stripe rust caused by Puccinia striiformis f.…”
Section: Discussionmentioning
confidence: 99%
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“…QTL with large effects (≥10%) have been identified for less complex traits in wheat (e.g., rust resistance) in bi-parental populations and have been integrated in GS models as fixed effects to improve prediction accuracies (Rutkoski et al, 2014). However, such large effect QTLs are rarely identified for complex traits such as GY in a typical GWAS study (Sehgal et al, 2016(Sehgal et al, , 2017. The potential to integrate consistent and robust associations identified from GWAS as fixed variables in GS models to improve prediction accuracy for complex traits has not been investigated comprehensively in plants (Spindel et al, 2016;He et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…), the analysis of LA in crop landraces can be also carried out focusing on specific candidate regions or by genome-wide scans (e.g., linkage mapping or genome-wide association studies (GWAS), respectively) [59]. Association mapping in crop landraces (e.g., barley, common bean, soybean, durum, and common wheat) can reveal previously undescribed candidate regions associated with agronomic traits, including biotic stress resistance [70][71][72][73][74][75]. QTL mapping classically requires structured populations (e.g., recombinant populations deriving from phenotypically divergent inbred lines).…”
Section: Genomic Scans Of Local Adaptation In Landracesmentioning
confidence: 99%