scholarly journals Mapping quantitative trait loci for resistance to Pratylenchus thornei from synthetic hexaploid wheat in the International Triticeae Mapping Initiative (ITMI) population

2006 ◽  
Vol 57 (5) ◽  
pp. 525 ◽  
Author(s):  
R. S. Zwart ◽  
J. P. Thompson ◽  
J. G. Sheedy ◽  
J. C. Nelson
Keyword(s):  
Ssr Markers ◽  
Quantitative Trait ◽  
Hexaploid Wheat ◽  
Recombinant Inbred Lines ◽  
Synthetic Hexaploid Wheat ◽  
Phenotypic Data ◽  
International Triticeae Mapping Initiative ◽  
Pratylenchus Thornei ◽  
Synthetic Hexaploid ◽  
Map Data

Root-lesion nematode (Pratylenchus thornei) is a serious pathogen of wheat in many countries. The International Triticeae Mapping Initiative (ITMI) population of recombinant inbred lines (RILs) was assessed for resistance to P. thornei to determine the chromosome locations of the resistance genes. The ITMI population is derived from a cross between the resistant synthetic hexaploid wheat W-7984 and a susceptible bread wheat cultivar Opata 85. Two years of phenotypic data for resistance to P. thornei were obtained in replicated glasshouse trials. Quantitative trait locus (QTL) analysis was performed using available segregation and map data for 114 RILs. A QTL on chromosome 6DS showed consistent effects for reduced nematode numbers (partial resistance) across years and accounted for 11% and 23% of the phenotypic variation. A second QTL for P. thornei resistance on chromosome 2BS accounted for an additional 19% and 5%. Restriction fragment length polymorphism (RFLP) and simple sequence repeat (SSR) markers associated with the QTLs are physically located in regions rich in major genes at the distal ends of the short chromosome arms of 6D and 2B. SSR markers with potential for marker-assisted selection of P. thornei resistance effective in different genetic backgrounds have been identified.

QTL for resistance to root lesion nematode (Pratylenchus thornei) from a synthetic hexaploid wheat source

2014 ◽  
Vol 127 (6) ◽  
pp. 1409-1421 ◽  
Author(s):  
Katherine J. Linsell ◽  
Muhammad S. Rahman ◽  
Julian D. Taylor ◽  
Rowena S. Davey ◽  
Beverley J. Gogel ◽  
...  
Keyword(s):  
Hexaploid Wheat ◽  
Synthetic Hexaploid Wheat ◽  
Root Lesion Nematode ◽  
Pratylenchus Thornei ◽  
Synthetic Hexaploid ◽  
Lesion Nematode

scholarly journals Mapping of quantitative trait loci for resistance to race 1 of Pyrenophora tritici-repentis in synthetic hexaploid wheat

2018 ◽  
Vol 137 (3) ◽  
pp. 313-319 ◽  
Author(s):  
Bhanu Kalia ◽  
William W. Bockus ◽  
Sukhwinder Singh ◽  
Vijay K. Tiwari ◽  
Bikram S. Gill
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Hexaploid Wheat ◽  
Synthetic Hexaploid Wheat ◽  
Pyrenophora Tritici Repentis ◽  
Trait Loci ◽  
Race 1 ◽  
Synthetic Hexaploid

scholarly journals Effect of high-molecular-weight glutenin allele, Glu-B1d, from synthetic hexaploid wheat on wheat quality parameters and dry, white Chinese noodle-making quality

2010 ◽  
Vol 61 (4) ◽  
pp. 310 ◽  
Author(s):  
Yonglu Tang ◽  
Wuyun Yang ◽  
Yuanqi Wu ◽  
Chaosu Li ◽  
Jun Li ◽  
...  
Keyword(s):  
Molecular Weight ◽  
High Molecular Weight ◽  
Bread Wheat ◽  
Hexaploid Wheat ◽  
Recombinant Inbred Lines ◽  
Quality Parameters ◽  
Synthetic Hexaploid Wheat ◽  
Wheat Quality ◽  
Glutenin Subunits ◽  
Synthetic Hexaploid

Synthetic hexaploid wheat (SHW) represents a valuable source of new resistances to a range of biotic and abiotic stresses. Exploitation of these resistances in bread wheat breeding programs, however, is not necessarily straightforward and requires an assessment of potential negative effects on quality particularly from the genomes contributed by the durum parents used in the development of SHW. In particular, high-molecular-weight glutenin subunits (HMW-GS) 6+8 that are common in durum and SHW but, in bread wheat, are present at only a very low frequency in Chinese wheat cultivars and landraces and as a result there is only limited data on the effects of HMW-GS 6+8 on wheat processing quality and especially on dry, white Chinese noodles (DWCN). In this study, 131 recombinant inbred lines (RIL) were developed from a cross between a CIMMYT SHW ‘Syn-CD780’ and an elite Sichuan common wheat cultivar ‘ChuanYu12’.The aim of this study was to investigate the effect of the HMW glutenin allele, Glu-B1d (6+8), from SHW on quality-related characteristics and DWCN making quality compared with the alternate allele Glu-B1u (7*+8). The RIL and parents were grown in three environments and analysed for 21 quality and noodle test parameters. Results showed the effect of Glu-B1d depended on both the parameters tested and glutenin subunit background contributed by alleles at the Glu-A1 and Glu-D1 loci. RIL with the Glu-B1d allele v. those with the Glu-B1u had significantly higher Zeleny sedimentation volume and falling number in the subunit backgrounds Glu-A1c/Glu-D1a and Glu-A1c/Glu-D1ah, significantly higher L* of dry flour in the background Glu-A1a/Glu-D1a; significantly higher dough development time, dough stability time, breakdown time and lower softness in both backgrounds Glu-A1c/Glu-D1a and Glu-A1c/Glu-D1ah; significantly higher values of most rapid visco analysis parameters, especially pronounced in the background Glu-A1c/Glu-D1a. The RIL with the Glu-B1d allele also showed significantly higher (P < 0.05) noodle total score (NTS) in the Glu-A1a/Glu-D1a background and significantly higher (P < 0.01) NTS and most components of sensory assessment in the Glu-A1c/Glu-D1a background. Overall, the results indicate that the allele Glu-B1d, 6+8, from synthetic hexaploids could, in general, have a positive influence on most bread wheat quality parameters and DWCN noodle-making, particularly when combined with particular glutenin subunits at Glu-A1 and Glu-D1.

Flanking SSR markers for alleles involved in the necrosis of hybrids between hexaploid bread wheat and synthetic hexaploid wheat

2017 ◽  
Vol 31 (6) ◽  
pp. 879-892
Author(s):  
D. R. Kandel ◽  
K. D. Glover ◽  
W. A. Berzonsky ◽  
J. L. Gonzalez-Hernandez ◽  
S. Ali ◽  
...  
Keyword(s):  
Bread Wheat ◽  
Ssr Markers ◽  
Hexaploid Wheat ◽  
Synthetic Hexaploid Wheat ◽  
Synthetic Hexaploid

scholarly journals Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels

Genetics ◽  
2021 ◽  
Vol 217 (2) ◽  
Author(s):  
L E Puhl ◽  
J Crossa ◽  
S Munilla ◽  
P Pérez-Rodríguez ◽  
R J C Cantet
Keyword(s):  
Hexaploid Wheat ◽  
Variance Components ◽  
Bayesian Model ◽  
Synthetic Hexaploid Wheat ◽  
Data Sets ◽  
Hierarchical Bayesian Model ◽  
Additive Variance ◽  
Ploidy Levels ◽  
Breeding Values ◽  
Synthetic Hexaploid

Abstract Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii—T. aestivum and T. turgidum—T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels.

Sign in / Sign up

Export Citation Format

Share Document