Identification of milling and baking quality QTL in multiple soft wheat mapping populations

Cabrera, Antonio G.; Guttieri, Mary J.; Smith, Nathan; Souza, E.; Sturbaum, Anne; Hua, Duc; Griffey, Carl A.; Barnett, M. D.; Murphy, Paul J.; Ohm, H. W.; Uphaus, J.; Sorrells, Mark E.; Heffner, Elliot L.; Brown‐Guedira, Gina; Sanford, David A. Van; Sneller, Clay

doi:10.1007/s00122-015-2580-3

Cited by 29 publications

(80 citation statements)

References 45 publications

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“…Heritability of the ten quality traits ranged from 0.67 to 0.90 (Table 4). These results agreed with previous studies in soft winter wheat genotypes adapted to the southern or northern US (Baezinger et al, 1985;Basset et al, 1989;Souza et al, 2002;Smith et al, 2011;Cabrera et al, 2015;Hoffstetter et al, 2016).…”

Section: Heritability Of Ten Quality Parameterssupporting

confidence: 93%

“…The coincident QTL often corresponded to trait correlations (Table 3). The water absorption capacity traits AWRC, WA, SU, and SO were all positively correlated as has been reported by others for soft wheat (Guttieri & Souza, 2003;Ram et al, 2005;Smith et al, 2011;Cabrera et al, 2015;Hoffstetter et al, 2016). There were 10 marker-trait associations from four regions for these traits and only one was not coincident with another.…”

Section: Wheat Quality Laboratory (Swql) Of the United States Departmsupporting

confidence: 81%

“…Three of the four regions associated with water absorption traits were also associated with FY. As expected from the by others is SRWW (Smith et al, 2011;Cabrera et al, 2015). Earlier studies explained that soft wheat genotypes with less damaged starch and lower arabinoxylan content have higher flour extraction (Guttieri et al, 2001).…”

Section: Wheat Quality Laboratory (Swql) Of the United States Departmsupporting

confidence: 62%

“…Heritability for all traits ranged from 0.67 to 0.90 (Table 4). Others have reported similar heritability values for soft wheat quality traits (Guttieri & Souza, 2003;Smith et al, 2011;Cabrera et al, 2015;Hoffstetter et al, 2016).…”

Section: Wheat Quality Laboratory (Swql) Of the United States Departmmentioning

confidence: 65%

“…Loci associated with water absorption capacity have been identified in hard wheat (Mansur et al, 1990). Similarly, loci influencing FP, kernel hardness, and TW have been mapped (Mattern et al, 1973;Blanco et al, 1996;Sourdille et al, 1996: Prasad et al, 1999Perretant et al, 2000; about the heritability of SRCs in soft wheat have shown high heritability (Guttieri & Souza, 2003;Smith et al, 2011;Cabrera et al, 2015;Hoffstetter et al, 2016). Common QTLs for AWRC and damaged starch were observed in a hard x soft population on chromosome 4DL (Campbell et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

Garcia-Santamaria

Hua

Sneller

2017

Preprint

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Information on the genetic control of the quality traits of soft wheat (Triticum aestivum L. em. Thell) is essential for breeding. Gluten strength is a measure of quality and has particular relevance to soft wheat as identity-preserved programs for strong-gluten soft red winter wheat in the eastern US that is essential to effective biscuit industry. Identifying areas of the soft wheat genome harboring genes for functional end-use quality may assist in selective breeding and in understanding the genetic components of this trait. Our objective was to identify Quantitative Trait Loci associated with end-use quality.We developed 150 F4-derived lines from a cross of Pioneer 26R46 × SS550 and tested them in four environments. We measured flour yield (FY), softness equivalent (SE), test weight (TW), flour protein content (FP), alkaline water retention capacity (AWRC), and solvent retention capacity (SRC) of water (WA), lactic acid (LA), sucrose (SU), sodium carbonate (SO) SRCs. Analyses of variance for the ten quality parameters detected a significant difference between parental means for nine traits except for FP. Recombinant inbred lines presented transgressive segregation and high heritability (0.67 to 0.90) for all traits. Strong positive correlations between AWRC with WA, SO, SU and strong negative correlations of FY with AWRC and the SRC traits were observed. We report 28 marker-trait associations. Many QTL were coincident and in accordance with the trait correlations. There were 10 marker-trait associations from four regions for these traits and only one was not coincident with another.We detected QTL distributed on 8 chromosomes. Loci associated with FP mapped on chromosomes 2B, 5A and 5D explained 16 %, 10 % and 12.9 % of the variation for this trait, respectively. QTLs on chromosome 2B co-segregated for SE. SE was negatively correlated (-0.26) with FP. A positive significant correlation between FP and LA (0.36) was detected, yet; the QTL for these two traits were not coincident in this study. The QTL with the greatest effects were located on chromosome 1A, 1B, and 6B with each affecting at least five of ten quality traits. In particular, QTL with the largest effect on LA and consequently gluten strength were on chromosomes 1A with LOD 9 that explained 42.6 % of LA variation and QTLs on chromosome 1B with LOD 9 that explained 33 % of the variation in LA. Loci on chromosomes 1A and 1B were also important contributors of additive effects for this trait with an increase of 6.5 % and 5.6 %, respectively. The largest QTL on 1A co-segregated for AWRC (25 %), SO (26 %) and SE (25 %), and FY (15 %) may explicate why Pioneer 26R46 has such superior quality. All alleles that increased a trait came from the parent with the highest trait value. This suggests that in any population that marker-assisted selection for these quality traits could be conducted by simply selecting for the alleles from the parent with the best phenotype. AWRC and the SRC traits were observed. We report 28 marker-trait associations. Many QTL were ...

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Section: Heritability Of Ten Quality Parameterssupporting

confidence: 93%

Section: Wheat Quality Laboratory (Swql) Of the United States Departmsupporting

confidence: 81%

Section: Wheat Quality Laboratory (Swql) Of the United States Departmsupporting

confidence: 62%

Section: Wheat Quality Laboratory (Swql) Of the United States Departmmentioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

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Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

Garcia-Santamaria

Hua

Sneller

2017

Preprint

Self Cite

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Mark E. Sorrells

Gul

Diepenbrock

Breseghello

et al. 2018

Plant Breeding Reviews

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Identification of solvent retention capacity quantitative trait loci by combined linkage and association mapping in wheat (Triticum aestivum L.)

Xiao‐ling,

Hong‐min,

Yu‐ling

et al. 2023

Crop Science

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Solvent retention capacity (SRC) is an important tool for assessing wheat quality by estimating the biochemical characteristics of flour components. Although it has been widely used in wheat breeding programs, its genetic architecture is still poorly understood. Hence, the objective of this study was to find quantitative trait loci (QTLs) associated with four SRC traits, namely sucrose SRC, sodium carbonate SRC, water SRC and lactic acid SRC, in a recombinant inbred line population consisting of 173 lines descended from Shannong 01–35/Gaocheng 9411 and an association panel of 205 wheat varieties. The 90K single nucleotide polymorphism array was used to genotype both populations. SRC was primarily influenced by genotype, with broad‐sense heritability (H2) ranging from 59.72% to 80.76%. Linkage mapping revealed seven major QTLs on chromosomes 1B, 4B, 5B, and 6B. Among them, QSc1B.6‐27 was repeatedly identified in two different environments, with a 14.7% phenotypic variance explained value. Additionally, 24 significant QTLs, consisting of 57 marker‐trait associations, were identified using association mapping across four environments. Nineteen of them explained more than 10.0% of the phenotypic variance, with QSU6A.141 explaining the most (20.1%). Two common chromosomal regions were discovered when combining the two mapping populations. These regions were located between IACX5803 and BS00067000_51 on chromosome 1B and between IACX557 and CAP11_c3631_75 on chromosome 4B, respectively. In addition, four candidate genes associated with wheat SRC were identified. These findings shed light on the complex genetic mechanisms underlying wheat SRC and may help to genetically enhance wheat quality.

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Identification of milling and baking quality QTL in multiple soft wheat mapping populations

Cited by 29 publications

References 45 publications

Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

Mark E. Sorrells

Identification of solvent retention capacity quantitative trait loci by combined linkage and association mapping in wheat (Triticum aestivum L.)

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