scholarly journals Association mapping of quantitative trait loci for agronomic traits in spring wheat collection tested under two water regimes in Northern Kazakhstan

2011 ◽  
Vol 123 (6) ◽  
pp. 1043-1053 ◽  
Author(s):  
Y. Naruoka ◽  
L. E. Talbert ◽  
S. P. Lanning ◽  
N. K. Blake ◽  
J. M. Martin ◽  
...  

2016 ◽  
Vol 15 (10) ◽  
pp. 2192-2202 ◽  
Author(s):  
Fei-fei XU ◽  
Liang JIN ◽  
Yan HUANG ◽  
Chuan TONG ◽  
Ya-ling CHEN ◽  
...  

2021 ◽  
pp. 91-101
Author(s):  
M. K. Rajesh ◽  
S. V. Ramesh ◽  
Lalith Perera ◽  
A. Manickavelu

2019 ◽  
Vol 132 (11) ◽  
pp. 3023-3033 ◽  
Author(s):  
Firdissa E. Bokore ◽  
Richard D. Cuthbert ◽  
Ron E. Knox ◽  
Arti Singh ◽  
Heather L. Campbell ◽  
...  

Author(s):  
Régine Delourme ◽  
Anne Laperche ◽  
Anne-Sophie Bouchet ◽  
Mélanie Jubault ◽  
Sophie Paillard ◽  
...  

2011 ◽  
Vol 47 (Special Issue) ◽  
pp. S43-S48 ◽  
Author(s):  
A. Börner ◽  
K. Neumann ◽  
B. Kobiljski

It is estimated that world-wide existing germplasm collections contain about 7.5 million accessions of plant genetic resources for food and agriculture. Wheat (Triticum and Aegilops) represents the biggest group comprising 900 000 accessions. However, such a huge number of accessions is hindering a successful exploitation of the germplasm. The creation of core collections representing a wide spectrum of the genetic variation of the whole assembly may help to overcome the problem. Here we demonstrate the successful utilisation of such a core collection for the identification and molecular mapping of genes (Quantitative Trait Loci) determining the agronomic traits flowering time and grain yield, exploiting a marker-trait-association based technique. Significant marker-trait associations were obtained and are presented. The intrachromosomal location of many of these associations coincided with those of already identified major genes or quantitative trait loci, but others were detected in regions where no known genes have been located to date.


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