scholarly journals Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids

2017 ◽  
Vol 131 (2) ◽  
pp. 319-332 ◽  
Author(s):  
Fanny Bonnafous ◽  
Ghislain Fievet ◽  
Nicolas Blanchet ◽  
Marie-Claude Boniface ◽  
Sébastien Carrère ◽  
...  
Keyword(s):  
Flowering Time ◽  
Genetic Control

Reproductive Biology and Floral Phenologies of the Sympatric Species Leptospermum myrsinoides and L. continentale (Myrtaceae)

1993 ◽  
Vol 41 (5) ◽  
pp. 527 ◽  
Author(s):  
SP Obrien ◽  
DM Calder
Keyword(s):  
Flowering Time ◽  
Genetic Control ◽  
Reproductive Biology ◽  
Pollen Viability ◽  
Sympatric Species ◽  
Anther Dehiscence ◽  
Floral Structure ◽  
Days After Anthesis ◽  
Degree Of Overlap

The reproductive biology and floral phenologies of co-occurring Leptospermum myrsinoides and L. continentale were investigated. Both species have similar floral structure and both are protandrous. Anther dehiscence is staggered over approximately 6 days and pollen viability remains high for at least 3 days. The styles of both species are short at anthesis but extend during the next 6 days to approximately the same height as the anthers. The stigmas of these species do not achieve maximum receptivity until at least 4 days after anthesis. Both species are self-compatible. At the three sites studied, L. myrsinoides and L. continentale have separate flowering times with L. myrsinoides always flowering first. Within populations of each species, plants reached first flower and peak flower in the same order in 1989 and 1990, implying genetic control over flowering time. It is suggested that protandry in these species enhances the likelihood of outcrossing and the staggered release of pollen coupled with the degree of overlap within flowering populations increases the number of potential mates available to each flower.

Unravelling the genetic control of flowering time in the bioenergy grass Miscanthus

2008 ◽  
Vol 150 (3) ◽  
pp. S181 ◽  
Author(s):  
E. Jensen ◽  
S. Thomas-Jones ◽  
K. Farrar ◽  
J. Clifton-Brown ◽  
I. Donnison
Keyword(s):  
Flowering Time ◽  
Genetic Control

scholarly journals Genetic Control and Comparative Genomic Analysis of Flowering Time in Setaria (Poaceae)

2013 ◽  
Vol 3 (2) ◽  
pp. 283-295 ◽  
Author(s):  
Margarita Mauro-Herrera ◽  
Xuewen Wang ◽  
Hugues Barbier ◽  
Thomas P. Brutnell ◽  
Katrien M. Devos ◽  
...  
Keyword(s):  
Flowering Time ◽  
Genetic Control ◽  
Genomic Analysis ◽  
Comparative Genomic Analysis ◽  
Comparative Genomic

scholarly journals Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids

2017 ◽  
Author(s):  
Fanny Bonnafous ◽  
Ghislain Fievet ◽  
Nicolas Blanchet ◽  
Marie-Claude Boniface ◽  
Sébastien Carrère ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Flowering Time ◽  
Genetic Control ◽  
Quantitative Trait ◽  
Complex Traits ◽  
Association Studies ◽  
Additive Models ◽  
Genome Wide Association Studies ◽  
Trait Loci ◽  
Genomic Regions

AbstractGenome-wide association studies are a powerful and widely used tool to decipher the genetic control of complex traits. One of the main challenges for hybrid crops, such as maize or sunflower, is to model the hybrid vigor in the linear mixed models, considering the relatedness between individuals. Here, we compared two additive and three non-additive association models for their ability to identify genomic regions associated with flowering time in sunflower hybrids. A panel of 452 sunflower hybrids, corresponding to incomplete crossing between 36 male lines and 36 female lines, was phenotyped in five environments and genotyped for 2,204,423 SNPs. Intra-locus effects were estimated in multi-locus models to detect genomic regions associated with flowering time using the different models. Thirteen quantitative trait loci were identified in total, two with both model categories and one with only non-additive models. A quantitative trait loci on LG09, detected by both the additive and non-additive models, is located near a GAI homolog and is presented in detail. Overall, this study shows the added value of non-additive modeling of allelic effects for identifying genomic regions that control traits of interest and that could participate in the heterosis observed in hybrids.

scholarly journals Genetic resistance to yellow rust infection of the wheat ear is controlled by genes controlling foliar resistance and flowering time

2021 ◽  
Author(s):  
Laura Bouvet ◽  
Simon Berry ◽  
Paul Fenwick ◽  
Sarah Holdgate ◽  
Ian J Mackay ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Genetic Analysis ◽  
Flowering Time ◽  
Genetic Control ◽  
Puccinia Striiformis ◽  
Yellow Rust ◽  
Genetic Resistance ◽  
Founder Population ◽  
Foliar Resistance ◽  
Wheat Leaves

Yellow rust (YR), or stripe rust, is a fungal infection of wheat (Triticum aestivum L.) caused by the pathogen Puccinia striiformis f. sp. tritici (Pst). While much research has focused on YR infection of wheat leaves, we are not aware of reports investigating the genetic control of YR resistance in other wheat structures, such as the ears. Here we use an eight-founder population to undertake genetic analysis of glume YR infection in wheat ears. Five quantitative trait loci (QTL) were identified, each explaining between 3.4% and 6.8% of the phenotypic variation. Of these, three (QYrg.niab-2D.1, QYrg.niab-4D.1 and QYrg.niab-5A.1) co-located with QTL for leaf YR resistance previously identified in the same population. Additional leaf YR resistance QTL previously identified in the population were not detected as controlling glume resistance, with the remaining two glume YR QTL linked to genetic loci controlling flowering time. The first, QYrg.niab-2D. 1, mapped to the major flowering time locus Photoperiod-D1 (Ppd-D1), with the early-flowering allele from the founder Soissons conferring reduced glume YR resistance. The second, QYrg.niab-4A.1, was identified in one trial only, and was located close to a flowering time QTL. This indicates earlier flowering results in increased glume YR susceptibility, likely due to exposure of tissues during environmental conditions more favourable for Pst infection. Collectively, our results provide first insights into the genetic control of YR resistance in glumes, ontrolled by subsets of QTL for leaf YR resistance and flowering time. This work provides specific genetic targets for the control of YR resistance in both the leaves and the glumes, and may be especially relevant in Pst-prone agricultural environments where earlier flowering is favoured.

scholarly journals Genetic control of flowering time in legumes

2015 ◽  
Vol 6 ◽  
Author(s):  
James L. Weller ◽  
Raúl Ortega
Keyword(s):  
Flowering Time ◽  
Genetic Control

scholarly journals Genetic Control of Flowering Time in Rice, a Short-Day Plant

2001 ◽  
Vol 127 (4) ◽  
pp. 1425-1429 ◽  
Author(s):  
Masahiro Yano ◽  
Shoko Kojima ◽  
Yuji Takahashi ◽  
Hongxuan Lin ◽  
Takuji Sasaki
Keyword(s):  
Flowering Time ◽  
Genetic Control ◽  
Short Day

scholarly journals Research on the genetic control of flowering in potato set to blossom

2020 ◽  
Vol 71 (3) ◽  
pp. 747-748
Author(s):  
Nigel G Halford
Keyword(s):  
Solanum Tuberosum ◽  
Flowering Time ◽  
Genetic Control ◽  
Marker Genes ◽  
Experimental Botany

This article comments on: Seibert T, Abel C, Wahl V. 2020. Flowering time and the identification of floral marker genes in Solanum tuberosum ssp. andigena. Journal of Experimental Botany 71, 986–996.

scholarly journals Genetic control of flowering time in Eucalyptus globulus ssp. globulus

2011 ◽  
Vol 7 (6) ◽  
pp. 1209-1218 ◽  
Author(s):  
Rebecca C. Jones ◽  
René E. Vaillancourt ◽  
Peter L. Gore ◽  
Brad M. Potts
Keyword(s):  
Flowering Time ◽  
Genetic Control ◽  
Eucalyptus Globulus
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