A valuable QTL for Fusarium head blight resistance from <i>Triticum turgidum</i> L. ssp. <i>dicoccoides</i> has a stable expression in durum wheat cultivars

Soresi, Daniela Soledad; Zappacosta, Diego; Garayalde, Antonio Francisco; Irigoyen, Ignacio; Basualdo, Jessica; Carrera, Alicia

doi:10.1556/0806.45.2017.007

Cited by 6 publications

(3 citation statements)

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“…It appears likely that these three accessions carry the same resistance gene on the 3A chromosome. The resistance of T. dicoccoides accession Israel A, designated Qfhs.ndsu‐3AS , was validated in two Argentinean durum wheat cultivars (Soresi et al, ). Qfhs.ndsu‐3A conferred a dominant allele interaction and improved resistance by 50% for both homozygous and heterozygous genotypes.…”

Section: Methods Of Genetic Analysis Of Fhb Resistance In Wheatmentioning

confidence: 99%

Breeding for Fusarium head blight resistance in wheat—Progress and challenges

2019

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Fusarium head blight is among the most extensively studied fungal diseases of wheat and other small grain cereals due to its impact on yield and quality, but particularly due to its potential to produce mycotoxins, which are harmful to humans and animals. Since our last comprehensive review on QTL mapping and marker‐assisted selection for FHB resistance in wheat in 2009, numerous studies have been conducted to identify, validate or fine‐map resistance QTL. The main aim of this review is to update and summarize findings on FHB resistance breeding of wheat published during the last decade. Furthermore, we compiled a user‐friendly table listing FHB resistance QTL data providing a valuable resource for further FHB resistance research. The role of morphological and phenological traits on FHB resistance and possible consequences for resistance breeding are discussed. This review concentrates current knowledge on breeding for FHB resistance and suggests strategies to enhance resistance by deploying molecular breeding methods, including marker‐assisted and genomic selection.

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Section: Methods Of Genetic Analysis Of Fhb Resistance In Wheatmentioning

confidence: 99%

Breeding for Fusarium head blight resistance in wheat—Progress and challenges

2019

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“…All three accessions exhibited a peak position near the Xgwm2 microsatellie marker . Soresi et al. (2017) validated the effectiveness of Qfhs.ndsu-3AS resistance in two Argentinean durum wheat cultivars.…”

Section: Discussionmentioning

confidence: 80%

“…All three accessions exhibited a peak position near the Xgwm2 microsatellie marker. Soresi et al (2017) validated the effectiveness of Qfhs.ndsu-3AS resistance in two Argentinean durum wheat cultivars. Qfhs.ndsu-3A demonstrated a dominant allele interaction, enhancing resistance by 50% for both homozygous and heterozygous genotypes.…”

Section: The Significance Of Considering Mqtl Analysismentioning

confidence: 80%

Meta-QTL analysis and candidate genes for quality traits, mineral content, and abiotic-related traits in wild emmer

Cabas-Lühmann,

Schwember,

Arriagada

et al. 2024

Front. Plant Sci.

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Wild emmer (Triticum turgidum ssp. dicoccoides) genotypes were studied for their high-nutritional value and good tolerance to various types of stress; for this reason, several QTL (quantitative trait loci) studies have been conducted to find favorable alleles to be introgressed into modern wheat cultivars. Given the complexity of the QTL nature, their interaction with the environment, and other QTLs, a small number of genotypes have been used in wheat breeding programs. Meta-QTL (MQTL) analysis helps to simplify the existing QTL information, identifying stable genomic regions and possible candidate genes for further allele introgression. The study aimed to identify stable QTL regions across different environmental conditions and genetic backgrounds using the QTL information of the past 14 years for different traits in wild emmer based upon 17 independent studies. A total of 41 traits were classified as quality traits (16), mineral composition traits (11), abiotic-related traits (13), and disease-related traits (1). The analysis revealed 852 QTLs distributed across all 14 chromosomes of wild emmer, with an average of 61 QTLs per chromosome. Quality traits had the highest number of QTLs (35%), followed by mineral content (33%), abiotic-related traits (28%), and disease-related traits (4%). Grain protein content (GPC) and thousand kernel weight (TKW) were associated with most of the QTLs detected. A total of 43 MQTLs were identified, simplifying the information, and reducing the average confidence interval (CI) from 22.6 to 4.78 cM. These MQTLs were associated with multiple traits across different categories. Nine candidate genes were identified for several stable MQTLs, potentially contributing to traits such as quality, mineral content, and abiotic stress resistance. These genes play essential roles in various plant processes, such as carbohydrate metabolism, nitrogen assimilation, cell wall biogenesis, and cell wall extensibility. Overall, this study underscores the importance of considering MQTL analysis in wheat breeding programs, as it identifies stable genomic regions associated with multiple traits, offering potential solutions for improving wheat varieties under diverse environmental conditions.

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