The influence of photoperiod genes on the adaptability of European winter wheats

Worland, A. J.; Börner, Andreas; Korzun, Viktor; Li, W. M.; Petrović, Sonja; Sayers, E. J.

doi:10.1007/978-94-011-4896-2_67

Cited by 113 publications

(184 citation statements)

References 10 publications

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“…With regard to the control of heading time and plant height, partial dominance of the Ppd-D1 allele promoting early heading (Ppd-D1a) and of the Rht-D1 allele promoting short plant stature (Rht-D1b) reported by Worland et al (1998) and Beales et al (2007) could be confirmed. In contrast, the apparent overdominance of alleles Ppd-D1a and Rht-B1a (the latter one even in the direction of tall plant stature) in context with plant height found in our study is inconsistent with these publications.…”

Section: Discussionmentioning

confidence: 86%

“…Heading time and plant height are traits important for performance of winter wheat and thus have received substantial attention in line breeding. Key gene loci controlling heading time (Ppd-D1) and plant height (Rht-B1, Rht-D1 and Ppd-D1) are well known, and favorable alleles have been pivotal in shaping current elite wheat (Worland et al, 1998;Peng et al, 1999;Beales et al, 2007). However, more QTLs with small to medium effects are to be expected to fine-tune these traits in both inbred lines and hybrids.…”

Section: Discussionmentioning

confidence: 99%

“…As Ppd-D1 is also known to influence plant height (Worland et al, 1998;Beales et al, 2007), its allele status was checked in the compared plant groups. All Rht-B1a/Rht-B1a;Rht-D1a/Rht-D1a parental lines and hybrids that were included in our study were at the same time homozygous for the photoperiod-sensitive allele Ppd-D1b promoting a tall plant stature that excluded differences at this locus as an explanation for differences in plant height.…”

Section: Hybrids Displayed Heterosis For Plant Height But Not For Heamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Heading time and plant height are important traits for wheat production (Borlaug, 1983;Worland et al, 1998;Distelfeld et al, 2009) and key genes such as Ppd-D1, Rht-B1 and Rht-D1 controlling these traits have been characterized at the molecular level. Ppd-D1 encoding a pseudo-response regulator family member (Turner et al, 2005;Beales et al, 2007) is a major regulator of photoperiod response in wheat with also some effect on plant height (Worland et al, 1998), whereas Rht-B1 and Rht-D1 encoding gibberellin response modulators are major regulators of plant height (Peng et al, 1999). The photoperiod-insensitive allele Ppd-D1a promoting early flowering and short growth as well as the gibberellininsensitive alleles Rht-B1b or Rht-D1b promoting semi-dwarf stature are well represented in wheat adapted to temperate zones (Guo et al, 2010;Le Couviour et al, 2011;Seki et al, 2011;Wilhelm et al, 2013a,b).…”

Section: Introductionmentioning

confidence: 99%

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Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

et al. 2014

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Based on data from field trials with a large collection of 135 elite winter wheat inbred lines and 1604 F 1 hybrids derived from them, we compared the accuracy of prediction of marker-assisted selection and current genomic selection approaches for the model traits heading time and plant height in a cross-validation approach. For heading time, the high accuracy seen with marker-assisted selection severely dropped with genomic selection approaches RR-BLUP (ridge regression best linear unbiased prediction) and BayesCp, whereas for plant height, accuracy was low with marker-assisted selection as well as RR-BLUP and BayesCp. Differences in the linkage disequilibrium structure of the functional and single-nucleotide polymorphism markers relevant for the two traits were identified in a simulation study as a likely explanation for the different trends in accuracies of prediction. A new genomic selection approach, weighted best linear unbiased prediction (W-BLUP), designed to treat the effects of known functional markers more appropriately, proved to increase the accuracy of prediction for both traits and thus closes the gap between marker-assisted and genomic selection.

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Section: Discussionmentioning

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Hybrids Displayed Heterosis For Plant Height But Not For Heamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

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Seed Dispersal and Crop Domestication: Shattering, Germination and Seasonality in Evolution under Cultivation

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Phenotypic performance and associated QTL of ‘Peace’ × ‘CDC Stanley’ mapping population under conventional and organic management systems

et al. 2021

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Identification of consistent QTL in both conventional and organic management systems is a prerequisite for improving spring wheat (Triticum aestivum) through marker‐assisted selection. The objectives of the present study were to continue investigating the effect of management systems on agronomic and end‐use quality traits, and map associated quantitative trait loci (QTL) in a hard red spring wheat population. We evaluated 165 recombinant inbred lines derived from ‘Peace’ × ‘CDC Stanley’ for nine agronomic and end‐use quality traits under conventional and organic management systems for 2 yr and genotyped them with the wheat 90K iSelect array. Using inclusive composite interval mapping on phenotypic data across two environments per management and the International Wheat Genome Sequence Consortium (IWGSC) RefSeq v2.0 physical map of 1,058 informative single nucleotide polymorphisms, we uncovered 32 QTL (17 under conventional and 15 under organic) associated with nine traits of which five QTL were common in both managements. The remaining QTL were specific either to the conventional (12) or organic (10) managements. Each QTL explained from 1.2 to 19.2% and together accounted for 3.0 to 28.4% and 3.3 to 21.9% of the total phenotypic variance of each trait evaluated under conventional and organic management systems, respectively. We found three coincident genomic regions on chromosomes 1B, 3B, and 4B associated with two and three traits. All QTL identified in the present study were not reported in any of our previous mapping populations and would provide more data to wheat researchers conducting similar studies under conventional and organic management systems.

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The influence of photoperiod genes on the adaptability of European winter wheats

Cited by 113 publications

References 10 publications

Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

Seed Dispersal and Crop Domestication: Shattering, Germination and Seasonality in Evolution under Cultivation

Phenotypic performance and associated QTL of ‘Peace’ × ‘CDC Stanley’ mapping population under conventional and organic management systems

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