scholarly journals Selection of frost resistant bread winter wheat lines

2017 ◽  
Vol 4 (0) ◽  
pp. 6-14
Author(s):  
N. V. Bulavka ◽  
T. V. Yurchenko ◽  
O. M. Kucherenko
Author(s):  
O. V. Pavlova ◽  
◽  
L. A. Marchenkova ◽  
R. F. Chavdar ◽  
T. G. Orlova ◽  
...  

The paper presents experimental data on the assessment of the adaptability of winter wheat lines obtained using foreign genetic material of species Triticum migushchovae, Triticum kiharae, Aegilops speltoides, Aegilops triuncialis, Secale cereale and varieties of Don semi-dwarf (Aegilops squrrossa).


Author(s):  
I.V. TORBINA ◽  
◽  
I.R. FARDEYEVA ◽  

The paper assesses the promising varieties of winter wheat in a competitive variety test by the main economic and biological characteristics that determine the suitability of the variety for commercial use. The object of research was the authors’ own breeding material. The experiments on the selection of winter wheat were made in the experimental crop rotation pattern of the Institute.


2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.


2007 ◽  
Vol 35 (2) ◽  
pp. 749-752
Author(s):  
Sonja Maric ◽  
Tihomir Cupic ◽  
Goran Jukic ◽  
Ivan Varnica ◽  
Dario Dunkovic

2020 ◽  
Vol 73 (2) ◽  
pp. 9131-9141
Author(s):  
Zine El Abidine Fellahi ◽  
Abderrahmane Hannachi ◽  
Hamenna Bouzerzour

This study aimed at evaluating the expected gains from selection obtained based upon direct, indirect, and index-based selection in a set of 599 bread wheat lines. The experiment was carried out at the experimental field of INRAA institute, Setif research unit (Algeria), in a Federer augmented block design including three controls. A wide range of genetic variability was observed among lines for the eleven traits assessed. The results indicated that index-based selection and selection based on grain yield expressed higher expected genetic gain than direct and indirect mono-trait-based selection. The best 15 selected lines exhibited higher grain yield than the control varieties, and they were clustered in three groups that contrasted mainly for the flag-leaf area, thousand-kernel weight, biomass, and harvest index. The index-based selection appears as a useful tool for the rapid selection of early filial generations, enriching selected breeding materials with desirable alleles and reducing the number of years required to combine these traits in elite varieties.


Crop Science ◽  
2019 ◽  
Vol 59 (6) ◽  
pp. 2473-2483 ◽  
Author(s):  
Frank Maulana ◽  
Ki-Seung Kim ◽  
Joshua D. Anderson ◽  
Mark E. Sorrells ◽  
Twain J. Butler ◽  
...  

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