scholarly journals QTL Analysis of Agronomic Traits in Rice Using SSR and AFLP Markers

2012 ◽  
Vol 4 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Dina KEBRIYAEE ◽  
Mojtaba KORDROSTAMI ◽  
Mohammad Hossein REZADOOST ◽  
Habibollah Samizadeh LAHIJI
Keyword(s):  
Qtl Analysis ◽  
Agronomic Traits ◽  
Aflp Markers

scholarly journals Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jose Miguel Soriano ◽  
Pasqualina Colasuonno ◽  
Ilaria Marcotuli ◽  
Agata Gadaleta
Keyword(s):  
Molecular Markers ◽  
Abiotic Stress ◽  
Durum Wheat ◽  
Candidate Genes ◽  
Biotic Stress ◽  
Qtl Analysis ◽  
Complex Traits ◽  
Genetic Basis ◽  
Agronomic Traits ◽  
Plant Performance

AbstractThe genetic improvement of durum wheat and enhancement of plant performance often depend on the identification of stable quantitative trait loci (QTL) and closely linked molecular markers. This is essential for better understanding the genetic basis of important agronomic traits and identifying an effective method for improving selection efficiency in breeding programmes. Meta-QTL analysis is a useful approach for dissecting the genetic basis of complex traits, providing broader allelic coverage and higher mapping resolution for the identification of putative molecular markers to be used in marker-assisted selection. In the present study, extensive QTL meta-analysis was conducted on 45 traits of durum wheat, including quality and biotic and abiotic stress-related traits. A total of 368 QTL distributed on all 14 chromosomes of genomes A and B were projected: 171 corresponded to quality-related traits, 127 to abiotic stress and 71 to biotic stress, of which 318 were grouped in 85 meta-QTL (MQTL), 24 remained as single QTL and 26 were not assigned to any MQTL. The number of MQTL per chromosome ranged from 4 in chromosomes 1A and 6A to 9 in chromosome 7B; chromosomes 3A and 7A showed the highest number of individual QTL (4), and chromosome 7B the highest number of undefined QTL (4). The recently published genome sequence of durum wheat was used to search for candidate genes within the MQTL peaks. This work will facilitate cloning and pyramiding of QTL to develop new cultivars with specific quantitative traits and speed up breeding programs.

QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation

2011 ◽  
Vol 5 (2) ◽  
pp. 135-146 ◽  
Author(s):  
P. Haddadi ◽  
B. Yazdi-samadi ◽  
M. R. Naghavi ◽  
A. Kalantari ◽  
P. Maury ◽  
...  
Keyword(s):  
Qtl Analysis ◽  
Recombinant Inbred ◽  
Agronomic Traits ◽  
Recombinant Inbred Lines ◽  
Inbred Lines

scholarly journals A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0179717 ◽  
Author(s):  
Jun Wang ◽  
Zhilan Wang ◽  
Xiaofen Du ◽  
Huiqing Yang ◽  
Fang Han ◽  
...  
Keyword(s):  
Genetic Map ◽  
Qtl Analysis ◽  
Agronomic Traits ◽  
Foxtail Millet ◽  
High Density ◽  
Setaria Italica

QTL analysis for agronomic traits in a barley doubled haploids population grown in Iran

Plant Science ◽  
2005 ◽  
Vol 169 (6) ◽  
pp. 1008-1013 ◽  
Author(s):  
Sayed Ali Peighambari ◽  
Bahman Yazdi Samadi ◽  
Alireza Nabipour ◽  
Gills Charmet ◽  
Ahmad Sarrafi
Keyword(s):  
Qtl Analysis ◽  
Agronomic Traits ◽  
Doubled Haploids

scholarly journals Linkage Analysis of Molecular Markers and Quantitative Trait Loci in Populations of Inbred Backcross Lines of Brassica napus L.

Genetics ◽  
1999 ◽  
Vol 153 (2) ◽  
pp. 949-964 ◽  
Author(s):  
David V Butruille ◽  
Raymond P Guries ◽  
Thomas C Osborn
Keyword(s):  
Genetic Variation ◽  
Brassica Napus ◽  
Quantitative Trait Loci ◽  
Qtl Analysis ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Pedigree Structure ◽  
Inbred Backcross Lines ◽  
Trait Loci ◽  
Inbred Backcross

Abstract Backcross populations are often used to study quantitative trait loci (QTL) after they are initially discovered in balanced populations, such as F2, BC1, or recombinant inbreds. While the latter are more powerful for mapping marker loci, the former have the reduced background genetic variation necessary for more precise estimation of QTL effects. Many populations of inbred backcross lines (IBLs) have been developed in plant and animal systems to permit simultaneous study and dissection of quantitative genetic variation introgressed from one source to another. Such populations have a genetic structure that can be used for linkage estimation and discovery of QTL. In this study, four populations of IBLs of oilseed Brassica napus were developed and analyzed to map genomic regions from the donor parent (a winter-type cultivar) that affect agronomic traits in spring-type inbreds and hybrids. Restriction fragment length polymorphisms (RFLPs) identified among the IBLs were used to calculate two-point recombination fractions and LOD scores through grid searches. This information allowed the enrichment of a composite genetic map of B. napus with 72 new RFLP loci. The selfed and hybrid progenies of the IBLs were evaluated during two growing seasons for several agronomic traits. Both pedigree structure and map information were incorporated into the QTL analysis by using a regression approach. The number of QTL detected for each trait and the number of effective factors calculated by using biometrical methods were of similar magnitude. Populations of IBLs were shown to be valuable for both marker mapping and QTL analysis.

QTL analysis of agronomic traits in barley based on the doubled haploid progeny of two elite North American varieties representing different germplasm groups

2001 ◽  
Vol 103 (4) ◽  
pp. 625-637 ◽  
Author(s):  
L. A. Marquez-Cedillo ◽  
P. M. Hayes ◽  
A. Kleinhofs ◽  
W. G. Legge ◽  
B. G. Rossnagel ◽  
...  
Keyword(s):  
Doubled Haploid ◽  
North American ◽  
Qtl Analysis ◽  
Agronomic Traits

QTL ANALYSIS OF AGRONOMIC TRAITS IN A BC1 PEACH POPULATION

2002 ◽  
pp. 291-297 ◽  
Author(s):  
I. Verde ◽  
R. Quarta ◽  
C. Cedrola ◽  
M.T. Dettori
Keyword(s):  
Qtl Analysis ◽  
Agronomic Traits
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