Genetic analysis of soft white wheat end-use quality traits in a club by common wheat cross

Jernigan, Kendra L.; Morris, Craig F.; Zemetra, Robert S.; Chen, Jianli; Garland‐Campbell, Kimberly; Carter, Arron H.

doi:10.1016/j.jcs.2017.06.005

Cited by 19 publications

(39 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Grain and flour protein were highly correlated. A marker ( IWB4446 ) on 5AL was associated with both traits and is close (less than 3 cM) to a previously reported flour QTL ( QFpro.wak ) (Jernigan et al, 2017 ). IWB4446 was also associated with test weight despite having a low correlation with protein concentration.…”

Section: Discussionsupporting

confidence: 77%

“…Quality traits with high heritability such as kernel hardness, break flour yield, lactic acid SRC, water SRC, and cookie diameter, indicate that a large portion of their expression is genetically controlled and that breeding lines can be selected for substantial genetic gains in the end-use quality of soft winter wheat (Guttieri et al, 2001 ). High heritability estimates for these traits were also reported in soft winter wheat using biparental populations (Carter et al, 2012 ; Jernigan et al, 2017 ) and wheat germplasm core collections (Tadesse et al, 2015 ). In this study, traits with lower heritability (like grain protein, flour protein and some baking parameters) also had the fewest associations and their MTA had minor effects.…”

Section: Discussionmentioning

confidence: 79%

“…A similar locus in the same region on chromosome 5A, identified by wPt-1165 , was also detected by Bordes et al ( 2011 ) in a global core collection of 372 wheat accessions further supporting our hypothesis on the importance of this region in controlling kernel hardness. The MTA in 5BL ( IWB80740 ) was < 1 cM on the consensus map to a kernel hardness QTL ( QHa.wak ) identified in a bi-parental population derived from a cross between the club head cultivar “Coda” and the lax head cultivar “Brundage” (Jernigan et al, 2017 ). Both Coda and Brundage were included in our panel, validating this result.…”

Section: Discussionmentioning

confidence: 99%

“…The kernel weight MTA ( IWB68374 ) was also reported in Sun et al ( 2008 ) as a pleiotropic region controlling starch quality. To date, the most phenotypic variation explained by a single QTL ( IWB77420 ) for kernel weight and size is only 28% (Jernigan et al, 2017 ) identified from wheat with a lax head type. IWB77420 was also associated with single kernel weight in this study and the allele for heavier kernel was present in 99% of the genotypes with lax head type and only 1% of the genotypes with club head types.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat

et al. 2018

Self Cite

View full text Add to dashboard Cite

Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

show abstract

Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Genome-wide QTL analyses of quality traits in soft wheat revealed flour yield and flour color QTLs on almost all chromosomes [5,7,23,[39][40][41]. By association mapping studies, many MTAs have been identified for wheat quality parameters.…”

Section: Plos Onementioning

confidence: 99%

Multifamily QTL analysis and comprehensive design of genotypes for high-quality soft wheat

et al. 2020

View full text Add to dashboard Cite

Milling properties and flour color are essential selection criteria in soft wheat breeding. However, high phenotypic screening costs restrict selection to relatively few breeding lines in late generations. To achieve marker-based selection of these traits in early generations, we performed genetic dissection of quality traits using three doubled haploid populations that shared the high-quality soft wheat variety Kitahonami as the paternal parent. An amplicon sequencing approach allowed effective construction of well-saturated linkage maps of the populations. Marker-based heritability estimates revealed that target quality traits had relatively high values, indicating the possibility of selection in early generations. Taking advantage of Chinese Spring reference sequences, joint linkage maps of the three populations were generated. Based on the maps, multifamily quantitative trait locus (QTL) analysis revealed a total of 86 QTLs for ten traits investigated. In terms of target quality traits, 12 QTLs were detected for flour yield, and 12 were detected for flour redness (a* value). Among these QTLs, six for flour yield and nine for flour a* were segregating in more than two populations. Some relationships among traits were explained by QTL collocations on chromosomes, especially group 7 chromosomes. Ten different ideotypes with various combinations of favorable alleles for the flour yield and flour a* QTLs were generated. Phenotypes of derivatives from these ideotypes were predicted to design ideal genotypes for highquality wheat. Simulations revealed the possibility of breeding varieties with better quality than Kitahonami.

show abstract

Club Wheat – A Review of Club Wheat History, Improvement, and Spike Characteristics in Wheat

Garland‐Campbell¹

2022

Plant Breeding Reviews

View full text Add to dashboard Cite

Genetic analysis of soft white wheat end-use quality traits in a club by common wheat cross

Cited by 19 publications

References 22 publications

Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat

Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat

Multifamily QTL analysis and comprehensive design of genotypes for high-quality soft wheat

Club Wheat – A Review of Club Wheat History, Improvement, and Spike Characteristics in Wheat

Contact Info

Product

Resources

About