Quantitative Trait Loci Analysis for the Effect of Rht-B1 Dwarfing Gene on Coleoptile Length and Seedling Root Length and Number of Bread Wheat

Crop Science ◽  
2011 ◽  
Vol 51 (6) ◽  
pp. 2561-2568 ◽  
Author(s):  
P. Li ◽  
J. Chen ◽  
P. Wu ◽  
J. Zhang ◽  
C. Chu ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Root Length ◽  
Coleoptile Length ◽  
Dwarfing Gene ◽  
Seedling Root ◽  
Trait Loci

Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.)

2001 ◽  
Vol 52 (12) ◽  
pp. 1221 ◽  
Author(s):  
G. J. Rebetzke ◽  
R. Appels ◽  
A. D. Morrison ◽  
R. A. Richards ◽  
G. McDonald ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Leaf Area ◽  
Plant Height ◽  
Quantitative Trait ◽  
Dwarfing Genes ◽  
Genotypic Variance ◽  
Coleoptile Length ◽  
Dwarfing Gene ◽  
Early Vigour ◽  
Trait Loci

The Norin-10 dwarfing genes, Rht-B1b (Rht1) and Rht-D1b (Rht2), are commonly used to reduce plant height and increase grain yield in wheat breeding programs. These dwarfing genes lower sensitivity of vegetative tissue to endogenous gibberellin to reduce cell and subsequent stem elongation. This reduction in cell elongation capacity reportedly results in a concomitant reduction in coleoptile length and early vigour (leaf area) thereby affecting seedling establishment and growth. A detailed genetic map from a cross between tall Halberd (Rht-B1a) and semidwarf Cranbrook (Rht-B1b) wheat cultivars was used to assess genetic factors affecting seedling growth. Parental and 150 doubled haploid progeny lines were characterised for seedling and height-related traits in controlled and field environments. Genotypic variation was large and predominantly under additive genetic control with evidence for transgressive segregation for some traits. Narrow-sense heritabilities were moderate to high (h2 = 0.31–0.91) indicating a strong genetic basis for differences between progeny. Molecular marker analyses identified a number of significant (P < 0.05) quantitative trait loci (QTL) for each trait. A major QTL, mapping directly to the Rht-B1 locus on chromosome arm 4BS, accounted for up to 49% of the genotypic variance in peduncle length and plant height, and 27–45% of the genotypic variance in coleoptile length across different temperatures. Another QTL, located close to the RFLP marker XksuC2 on the long arm of chromosome 4B, accounted for 15–27% of the genotypic variance in coleoptile length. The influence of the XksuC2-linked QTL on coleoptile length was greatest at 19˚C and decreased with cooler temperatures. The same QTL affected reductions in leaf size, and both coleoptile tiller size and presence to affect overall seedling vigour. There was also some evidence for epistatic interactions influencing coleoptile tiller growth. Reductions in plant size at the Rht-B1b and XksuC2 loci were associated with presence of the Cranbrook 4B allele. The negative genetic effect of the Rht-B1b dwarfing gene on early growth of wheat confirms phenotypic evidence of a pleiotropic effect of Rht-B1b on establishment and early vigour. Genetic increases in coleoptile length and early leaf area development are likely to be limited in wheat populations containing the Rht-B1b dwarfing gene.

scholarly journals Whole-Genome Mapping of Agronomic and Metabolic Traits to Identify Novel Quantitative Trait Loci in Bread Wheat Grown in a Water-Limited Environment

2013 ◽  
Vol 162 (3) ◽  
pp. 1266-1281 ◽  
Author(s):  
C. B. Hill ◽  
J. D. Taylor ◽  
J. Edwards ◽  
D. Mather ◽  
A. Bacic ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Whole Genome ◽  
Metabolic Traits ◽  
Trait Loci ◽  
Whole Genome Mapping

Mapping of quantitative trait loci (QTL) associated with activity of disulfide reductase and lipoxygenase in grain of bread wheat Triticum aestivum L.

2008 ◽  
Vol 44 (5) ◽  
pp. 567-574 ◽  
Author(s):  
T. A. Pshenichnikova ◽  
S. V. Osipova ◽  
M. D. Permyakova ◽  
T. N. Mitrofanova ◽  
V. A. Trufanov ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Triticum Aestivum L ◽  
Disulfide Reductase ◽  
Trait Loci

scholarly journals Fine Mapping ofQUICK ROOTING 1and2, Quantitative Trait Loci Increasing Root Length in Rice

2017 ◽  
Vol 8 (2) ◽  
pp. 727-735 ◽  
Author(s):  
Yuka Kitomi ◽  
Emari Nakao ◽  
Sawako Kawai ◽  
Noriko Kanno ◽  
Tsuyu Ando ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Root Length ◽  
Trait Loci

Impact of the D genome and quantitative trait loci on quantitative traits in a spring durum by spring bread wheat cross

2015 ◽  
Vol 128 (9) ◽  
pp. 1799-1811 ◽  
Author(s):  
J. R. Kalous ◽  
J. M. Martin ◽  
J. D. Sherman ◽  
H.-Y. Heo ◽  
N. K. Blake ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
Spring Bread Wheat ◽  
D Genome ◽  
Trait Loci ◽  
Wheat Cross

scholarly journals Identification of main-effect quantitative trait loci (QTLs) for low-temperature stress tolerance germination- and early seedling vigor-related traits in rice (Oryza sativa L.)

2020 ◽  
Vol 40 (1) ◽  
Author(s):  
S. Najeeb ◽  
J. Ali ◽  
A. Mahender ◽  
Y.L. Pang ◽  
J. Zilhas ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Low Temperature ◽  
Quantitative Trait ◽  
Root Length ◽  
Stress Index ◽  
Multiple Traits ◽  
Main Effect ◽  
Trait Loci ◽  
Early Seedling ◽  
Genomic Regions

AbstractAn attempt was made in the current study to identify the main-effect and co-localized quantitative trait loci (QTLs) for germination and early seedling growth traits under low-temperature stress (LTS) conditions in rice. The plant material used in this study was an early backcross population of 230 introgression lines (ILs) in BCIF7 generation derived from the Weed Tolerant Rice-1 (WTR-1) (as the recipient) and Haoannong (HNG) (as the donor). Genetic analyses of LTS tolerance revealed a total of 27 main-effect quantitative trait loci (M-QTLs) mapped on 12 chromosomes. These QTLs explained more than 10% of phenotypic variance (PV), and average PV of 12.71% while employing 704 high-quality SNP markers. Of these 27 QTLs distributed on 12 chromosomes, 11 were associated with low-temperature germination (LTG), nine with low-temperature germination stress index (LTGS), five with root length stress index (RLSI), and two with biomass stress index (BMSI) QTLs, shoot length stress index (SLSI) and root length stress index (RLSI), seven with seed vigor index (SVI), and single QTL with root length (RL). Among them, five significant major QTLs (qLTG(I)1, qLTGS(I)1–2, qLTG(I)5, qLTGS(I)5, and qLTG(I)7) mapped on chromosomes 1, 5, and 7 were associated with LTG and LTGS traits and the PV explained ranged from 16 to 23.3%. The genomic regions of these QTLs were co-localized with two to six QTLs. Most of the QTLs were growth stage-specific and found to harbor QTLs governing multiple traits. Eight chromosomes had more than four QTLs and were clustered together and designated as promising LTS tolerance QTLs (qLTTs), as qLTT1, qLTT2, qLTT3, qLTT5, qLTT6, qLTT8, qLTT9, and qLTT11. A total of 16 putative candidate genes were identified in the major M-QTLs and co-localized QTL regions distributed on different chromosomes. Overall, these significant genomic regions of M-QTLs are responsible for multiple traits and this suggested that these could serve as the best predictors of LTS tolerance at germination and early seedling growth stages. Furthermore, it is necessary to fine-map these regions and to find functional markers for marker-assisted selection in rice breeding programs for cold tolerance.

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