scholarly journals Quantitative trait loci sequencing–derived molecular markers for selection of stem rot resistance in peanut

Crop Science ◽  
2020 ◽  
Vol 60 (4) ◽  
pp. 2008-2018
Author(s):  
Renjie Cui ◽  
Josh Clevenger ◽  
Ye Chu ◽  
Timothy Brenneman ◽  
Thomas G. Isleib ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Stem Rot ◽  
Trait Loci ◽  
Selection Of

Mapping quantitative trait loci for a common bean (Phaseolus vulgaris L.) ideotype

Genome ◽  
2003 ◽  
Vol 46 (3) ◽  
pp. 411-422 ◽  
Author(s):  
Aaron D Beattie ◽  
Jamie Larsen ◽  
Tom E Michaels ◽  
K Peter Pauls
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Phaseolus Vulgaris ◽  
Linkage Map ◽  
Quantitative Trait ◽  
Phenotypic Selection ◽  
Phenotypic Variance ◽  
Phaseolus Vulgaris L ◽  
Trait Loci ◽  
Selection Of

Breeding a model plant that encompasses individual traits thought to enhance yield potential, known as ideotype breeding, has traditionally focused on phenotypic selection of plants with desirable morphological traits. Broadening this breeding method to the molecular level through the use of molecular markers would avoid the environmental interactions associated with phenotypic selection. A population of 110 F5 recombinant inbred lines (RILs), derived from the cross between WO3391 and 'OAC Speedvale', was used to develop a genetic linkage map consisting of 105 random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and sequence-tagged site (STS) markers. The map has a total length of 641 cM distributed across 8 linkage groups (LGs). Five of them were aligned on the core linkage map of bean. Twenty-one quantitative trait loci (QTLs) were identified over three environments for eight agronomic and architectural traits previously defined for a bean (Phaseolus vulgaris L.) ideotype. The QTLs were mapped to seven LGs with several regions containing QTLs for multiple traits. At least one QTL was located for each trait and a maximum of four were associated with lodging. Total explained phenotypic variance ranged from 10.6% for hypocotyl diameter to 45.4% for maturity. Some of the QTLs identified will be useful for early generation selection of tall, upright, high-yielding lines in a breeding program.Key words: molecular markers, genetic map, plant architecture, yield.

scholarly journals Mapping Quantitative Trait Loci for Resistance to Fall Armyworm (Lepidoptera: Noctuidae) Leaf-Feeding Damage in Maize Inbred Mp705

2020 ◽  
Vol 113 (2) ◽  
pp. 956-963 ◽  
Author(s):  
E D Womack ◽  
W P Williams ◽  
J S Smith ◽  
M L Warburton ◽  
D Bhattramakki
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Fall Armyworm ◽  
Phenotypic Variance ◽  
Feeding Damage ◽  
Artificial Infestation ◽  
Lepidopteran Insects ◽  
Trait Loci ◽  
Important Pest

Abstract The fall armyworm, Spodoptera frugiperda (J. E. Smith), is an agronomically important pest that severely limits maize (Zea mays (Linnaeus) [Poales: Poaceae]) production. This migrant insect devastates maize plants in many countries threatening the livelihood of millions. Quantitative trait loci (QTL) were mapped to identify chromosomal regions that control resistance to fall armyworm leaf-feeding and to identify molecular markers linked to the target loci for use in marker-assisted selection (MAS). A bi-parental mapping population, comprising 243 F2:3 families from the cross Mp705 (resistant) × Mp719 (susceptible), was evaluated for fall armyworm leaf-feeding damage under artificial infestation over 3 yr. A linkage map comprised of 1,276 single-nucleotide polymorphism and simple sequence repeat molecular markers was constructed. Quantitative trait loci analyses identified two major QTL in bins 4.06 and 9.03 that when combined, explained 35.7% of the phenotypic variance over all environments. Mp705 was responsible for the leaf-feeding damage reducing alleles for both large effect QTL and most of the small effect QTL identified in this study. The QTL identified in bin 9.03 co-locates with a previously identified QTL that controls resistance to leaf-feeding damage in maize by fall armyworm and other lepidopteran insects. The QTL in bin 4.06 is a new source of resistance identified in this study. Beneficial alleles derived from Mp705 for the application of an integrated QTL-MAS approach could accelerate breeding efforts to minimize fall armyworm leaf-feeding in maize.

scholarly journals Chromosomal segments underlying quantitative trait loci for mohair production in Angora goats

2009 ◽  
Vol 45 ◽  
pp. 107-112 ◽  
Author(s):  
E.M. Cano ◽  
S. Debenedetti ◽  
M. Abad ◽  
D. Allain ◽  
H.R. Taddeo ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Fibre Diameter ◽  
Average Fibre Diameter ◽  
A Genome ◽  
Argentinean Patagonia ◽  
Trait Loci ◽  
Average Fibre ◽  
Angora Goats

SummaryThis study reports the results obtained in the search of chromosomal regions affecting fleece traits in a population of Angora goats in the Argentinean Patagonia. Six hundred thirty-four offspring from 14 parental half-sib families were used. Nine phenotypic fleece traits were recorded at 4 and 11 months of age. A genome examination using 85 informative molecular markers was conducted. A linkage analysis was performed using a regression interval analysis. Our study identified 10 genomic regions affecting the average fibre diameter, coefficient of variation of the average fibre diameter, percentage of fibres with diameters over 30 µm, greasy fleece weight, staple length, average curvature of fibres, percentage of continuous medullated fibres and percentage of kemp fibres located on five goat chromosomes (1, 2, 5, 13 and 19). These results show that the average size of the quantitative trait loci effect was 1.6 phenotypic standard deviations for different traits and families. The aims of quantitative trait loci detection is the potential use of these molecular markers to increase accuracy in predicting the genetic merit of breeding and its implementation in animal breeding schemes through marker-assisted selection.

Identification of molecular markers linked to quantitative trait loci for soybean resistance to corn earworm

1998 ◽  
Vol 96 (6-7) ◽  
pp. 786-790 ◽  
Author(s):  
B. G. Rector ◽  
J. N. All ◽  
W. A. Parrott ◽  
H. R. Boerma
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Corn Earworm ◽  
Trait Loci ◽  
Soybean Resistance

scholarly journals A Generalization of the Mixture Model in the Mapping of Quantitative Trait Loci for Progeny From a Biparental Cross of Inbred Lines

Genetics ◽  
1996 ◽  
Vol 143 (1) ◽  
pp. 571-577
Author(s):  
R D Fisch ◽  
M Ragot ◽  
G Gay
Keyword(s):  
Molecular Markers ◽  
Quantitative Trait Loci ◽  
Molecular Marker ◽  
Mixture Model ◽  
Quantitative Trait ◽  
Doubled Haploids ◽  
Inbred Lines ◽  
Quantitative Inheritance ◽  
Trait Loci ◽  
Biometrical Models

Abstract The recent advent of molecular markers has created a great potential for the understanding of quantitative inheritance. In parallel to rapid developments and improvements in molecular marker technologies, biometrical models have been constructed, refined and generalized for the mapping of quantitative trait loci (QTL). However, current models present restricitions in terms of breeding designs to which they apply. In this paper, we develop an approach for the generalization of the mixture model for progeny from a single bi-parental cross of inbred lines. Detailed derivations are given for genetic designs involving populations developed by selfing, i.e., where marker genotypes are obtained from Fx (x ≤ 2) individuals and where phenotypes are measured on Fy (y ≥ x) individuals or families. Extensions to designs involving doubled-haploids, backcrossderived individuals and random matings are outlined. The derivations presented here can easily be combined with current QTL mapping approaches.

Sign in / Sign up

Export Citation Format

Share Document