Identification of Quantitative Resistance to <i>Puccinia striiformis</i> and <i>Puccina triticinia</i> in the Soft Red Winter Wheat Cultivar ‘Jamestown’

Carpenter, Neal R.; Griffey, Carl A.; Malla, Subas; Barnett, M. D.; Marshall, David; Fountain, M. O.; Murphy, J. Paul; Milus, E. A.; Johnson, J. W.; Buck, James W.; Chao, Shiaoman; Brown‐Guedira, Gina; Wright, Emily E.

doi:10.2135/cropsci2017.03.0143

Cited by 7 publications

(10 citation statements)

References 36 publications

(79 reference statements)

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“…As expected, the GBS genotyping platform increased the number of polymorphic SNPs available in the present study compared to previous investigations that utilized the 90K-SNP array for soft red winter wheat [73][74]. The use of GBS increases marker density through a whole genome scan approach as opposed to screening a select number of potential polymorphisms and makes results between investigations more reproducible due to the availability of both physical and genetic positions.…”

Section: Identification Of Qtl For Nue Traitsmentioning

confidence: 49%

Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat

et al. 2020

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Maintaining winter wheat (Triticum aestivum L.) productivity with more efficient nitrogen (N) management will enable growers to increase profitability and reduce the negative environmental impacts associated with nitrogen loss. Wheat breeders would therefore benefit greatly from the identification and application of genetic markers associated with nitrogen use efficiency (NUE). To investigate the genetics underlying N response, two bi-parental mapping populations were developed and grown in four site-seasons under low and high N rates. The populations were derived from a cross between previously identified high NUE parents (VA05W-151 and VA09W-52) and a shared common low NUE parent, 'Yorktown.' The Yorktown × VA05W-151 population was comprised of 136 recombinant inbred lines while the Yorktown × VA09W-52 population was comprised of 138 doubled haploids. Phenotypic data was collected on parental lines and their progeny for 11 N-related traits and genotypes were sequenced using a genotyping-by-sequencing platform to detect more than 3,100 high quality single nucleotide polymorphisms in each population. A total of 130 quantitative trait loci (QTL) were detected on 20 chromosomes, six of which were associated with NUE and N-related traits in multiple testing environments. Two of the six QTL for NUE were associated with known photoperiod (Ppd-D1 on chromosome 2D) and disease resistance (FHB-4A) genes, two were reported in previous investigations, and one QTL, QNue.151-1D, was novel. The NUE QTL on 1D, 6A, 7A, and 7D had LOD scores ranging from 2.63 to 8.33 and explained up to 18.1% of the phenotypic variation. The QTL identified in this study have potential for marker-assisted breeding for NUE traits in soft red winter wheat.

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Section: Identification Of Qtl For Nue Traitsmentioning

confidence: 49%

Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat

et al. 2020

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“…There have been few QTL mapping studies for rust resistance conducted in the southeast region. Three biparental QTL mapping studies were recently conducted for LR: one study looked at accessing seedling resistance (Sapkota et al, 2019b) and two focused on APR (Table 4) (Carpenter et al, 2017;Sapkota, 2019). The studies utilized RIL population (175-225 lines) and detected major QTL for LR resistance in 2BS (seedling), 1AL and 5B (APR) explaining 8.1-75.3% of phenotypic variations which were either validated or under validation for future use.…”

Section: Genetic Sources Of Lr and Sr Resistance In The Southeastmentioning

confidence: 99%

“…Similarly, four biparental QTL mapping studies were conducted for adult plant SR resistance (Table 4) (Hao et al, 2011;Christopher et al, 2013;Subramanian et al, 2016;Carpenter et al, 2017). The first study utilized a RIL population (178 lines) and detected a major QTL on 2A, contributing up to 56% of phenotypic variation in the SRWW cultivars Pioneer 26R61 (Hao et al, 2011).…”

Section: Genetic Sources Of Lr and Sr Resistance In The Southeastmentioning

confidence: 99%

“…The third study utilized a RIL population (146 RILs) and mapped two QTLs on chromosomes 3BS and 4BL (Subramanian et al, 2016). The fourth study utilized a RIL population (186 lines) and detected two QTLs for SR resistance in SRWW cultivar Jamestown in chromosomes 3B and 6A, contributing up to 11.1 and 14.3% of phenotypic variation, respectively (Carpenter et al, 2017). Interestingly, the presence of LR and SR resistance QTL on 5B, 3B, and 6A together with FHB resistance QTL in 1B makes SRWW cultivar Jamestown a good donor parent in the SRWW breeding programs (Carpenter et al, 2017).…”

Section: Genetic Sources Of Lr and Sr Resistance In The Southeastmentioning

confidence: 99%

“…The fourth study utilized a RIL population (186 lines) and detected two QTLs for SR resistance in SRWW cultivar Jamestown in chromosomes 3B and 6A, contributing up to 11.1 and 14.3% of phenotypic variation, respectively (Carpenter et al, 2017). Interestingly, the presence of LR and SR resistance QTL on 5B, 3B, and 6A together with FHB resistance QTL in 1B makes SRWW cultivar Jamestown a good donor parent in the SRWW breeding programs (Carpenter et al, 2017). In addition, donor parents Pioneer26R61 and VA00W-38 in these mapping studies acquiring FHB and LR resistance QTL besides SR resistance hold a good genetic pool for multi-trait resistance.…”

Section: Genetic Sources Of Lr and Sr Resistance In The Southeastmentioning

confidence: 99%

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Fusarium Head Blight and Rust Diseases in Soft Red Winter Wheat in the Southeast United States: State of the Art, Challenges and Future Perspective for Breeding

et al. 2020

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Among the biotic constraints to wheat (Triticum aestivum L.) production, fusarium head blight (FHB), caused by Fusarium graminearum, leaf rust (LR), caused by Puccinia triticina, and stripe rust (SR) caused by Puccinia striiformis are problematic fungal diseases worldwide. Each can significantly reduce grain yield while FHB causes additional food and feed safety concerns due to mycotoxin contamination of grain. Genetic resistance is the most effective and sustainable approach for managing wheat diseases. In the past 20 years, over 500 quantitative trait loci (QTLs) conferring small to moderate effects for the different FHB resistance types have been reported in wheat. Similarly, 79 Lr-genes and more than 200 QTLs and 82 Yr-genes and 140 QTLs have been reported for seedling and adult plant LR and SR resistance, respectively. Most QTLs conferring rust resistance are race-specific generally conforming to a classical gene-for-gene interaction while resistance to FHB exhibits complex polygenic inheritance with several genetic loci contributing to one resistance type. Identification and deployment of additional genes/ QTLs associated with FHB and rust resistance can expedite wheat breeding through marker-assisted and/or genomic selection to combine small-effect QTL in the gene pool. LR disease has been present in the southeast United States for decades while SR and FHB have become increasingly problematic in the past 20 years, with FHB arguably due to increased corn acreage in the region. Currently, QTLs on chromosome 1B from

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Identification and validation of Fusarium head blight resistance QTL in the U.S. soft red winter wheat cultivar ‘Jamestown’

Carpenter

Wright

Malla³

et al. 2020

Crop Science

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Use of genetic resistance is one of the most important strategies to manage the devastating disease Fusarium head blight (FHB) in wheat. Numerous quantitative trait loci (QTL) having varying effects on reducing FHB and the mycotoxin deoxynivalenol (DON) accumulation have been reported from Asian, European, or distant sources such as wild relatives of wheat (Triticum aestivum L.). However, coming from nonadapted backgrounds, the incorporation of such QTL into regional breeding programs has often resulted in the simultaneous transfer of other undesirable traits. Therefore, it is important to identify, characterize, and deploy sources of genetic resistance that do not suffer from poor adaptability and/or linkage drag. In the present work, QTL associated with FHB resistance in a high‐yielding, moderately resistant soft red winter wheat cultivar ‘Jamestown’ were mapped and validated. The QTL mapping was done using a recombinant inbred line (RIL) population of Pioneer ‘25R47’ × Jamestown having 186 individuals. Phenotyping over 2 yr at three locations, and genotyping using the 90K single nucleotide polymorphism (SNP) platform identified two new QTL, named QFHB.vt‐1B.1 and QFHB.vt‐1B.2, on the chromosome 1B long arm. The QTL contributed to FHB incidence, FHB severity, Fusarium‐damaged kernels, and DON content. Independent mapping of these QTL using two additional RIL populations of FG95195 × Jamestown (170 RILs) and Jamestown × LA97113UC‐124 (77 RILs) validated their stability and effectiveness in different genetic backgrounds. Kompetitive allele specific polymerase chain reaction (KASP) assays were developed using linked SNPs for marker‐assisted selection of the QTL. These QTL are being used in breeding programs to develop FHB‐resistant, high‐yielding varieties.

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Identification of Quantitative Resistance to Puccinia striiformis and Puccina triticinia in the Soft Red Winter Wheat Cultivar ‘Jamestown’

Cited by 7 publications

References 36 publications

Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat

Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat

Fusarium Head Blight and Rust Diseases in Soft Red Winter Wheat in the Southeast United States: State of the Art, Challenges and Future Perspective for Breeding

Identification and validation of Fusarium head blight resistance QTL in the U.S. soft red winter wheat cultivar ‘Jamestown’

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