scholarly journals Identification of Quantitative Trait Loci Relating to Flowering Time, Flag Leaf and Awn Characteristics in a Novel Triticum dicoccum Mapping Population

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 829
Author(s):  
Tally I.C. Wright ◽  
Angela C. Burnett ◽  
Howard Griffiths ◽  
Maxime Kadner ◽  
James S. Powell ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Quantitative Trait Loci ◽  
Flowering Time ◽  
Quantitative Trait ◽  
Marker Assisted Selection ◽  
Mapping Population ◽  
Flag Leaf ◽  
Snp Array ◽  
Leaf Length ◽  
Trait Loci

Tetraploid landraces of wheat harbour genetic diversity that could be introgressed into modern bread wheat with the aid of marker-assisted selection to address the genetic diversity bottleneck in the breeding genepool. A novel bi-parental Triticum turgidum ssp. dicoccum Schrank mapping population was created from a cross between two landrace accessions differing for multiple physiological traits. The population was phenotyped for traits hypothesised to be proxies for characteristics associated with improved photosynthesis or drought tolerance, including flowering time, awn length, flag leaf length and width, and stomatal and trichome density. The mapping individuals and parents were genotyped with the 35K Wheat Breeders’ single nucleotide polymorphism (SNP) array. A genetic linkage map was constructed from 104 F4 individuals, consisting of 2066 SNPs with a total length of 3295 cM and an average spacing of 1.6 cM. Using the population, 10 quantitative trait loci (QTLs) for five traits were identified in two years of trials. Three consistent QTLs were identified over both trials for awn length, flowering time and flag leaf width, on chromosomes 4A, 7B and 5B, respectively. The awn length and flowering time QTLs correspond with the major loci Hd and Vrn-B3, respectively. The identified marker-trait associations could be developed for marker-assisted selection, to aid the introgression of diversity from a tetraploid source into modern wheat for potential physiological trait improvement.

Molecular mapping of quantitative trait loci for flag leaf length and other agronomic traits in rice(Oryza sativa)

2012 ◽  
Vol 40 (3) ◽  
pp. 362-372 ◽  
Author(s):  
H. Sonah ◽  
R. Deshmukh ◽  
S. Chand ◽  
M. Srinivasprasad ◽  
G. Rao ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Molecular Mapping ◽  
Agronomic Traits ◽  
Flag Leaf ◽  
Leaf Length ◽  
Trait Loci ◽  
Flag Leaf Length

scholarly journals Happy mapping as an alternative to overcome the problems in coconut genome mapping

CORD ◽  
2004 ◽  
Vol 20 (02) ◽  
pp. 34
Author(s):  
C.K. Bandaranayake
Keyword(s):  
Quantitative Trait Loci ◽  
Physical Mapping ◽  
Quantitative Trait ◽  
Marker Assisted Selection ◽  
Genome Mapping ◽  
Mapping Population ◽  
Mapping Method ◽  
Trait Loci ◽  
Meiotic Mapping

An excellent way of producing a reliable mapping population for quantitative trait loci analysis and marker assisted selection was considered. A physical mapping method known as ‘Happy Mapping’ was discussed to make a framework map as an alternative to overcome the problems associated with meiotic mapping.

scholarly journals Quantitative Trait Loci Affecting Flag Leaf Development in Rice (Oryza sativa L.)

2003 ◽  
Vol 53 (3) ◽  
pp. 255-262 ◽  
Author(s):  
Sohei Kobayashi ◽  
Yoshimichi Fukuta ◽  
Satoshi Morita ◽  
Tadashi Sato ◽  
Mitsuru Osaki ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Leaf Development ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Trait Loci

scholarly journals Quantitative trait loci identification and genetic diversity analysis of panicle structure and grain shape in rice

2019 ◽  
Vol 90 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Xin Xu ◽  
Mengchen Zhang ◽  
Qun Xu ◽  
Yue Feng ◽  
Xiaoping Yuan ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Grain Shape ◽  
Rice Yield ◽  
Pcr Analysis ◽  
Diversity Analysis ◽  
Dh Population ◽  
Genetic Diversity Analysis ◽  
Trait Loci

Abstract Panicle structure and grain shape are important components of rice architecture that directly contribute to rice yield and are regulated by quantitative trait loci (QTLs). In this study, a doubled haploid (DH) population derived from a cross between japonica “Maybelle” and indica “Baiyeqiu” was used to determine genetic effects on panicle structure and grain shape. All detected traits exhibited a continuous, transgressive distribution in the DH population. QTL analysis showed that a total of 24 QTLs related to panicle structure and grain shape were detected on chromosomes 1, 2, 3, 4, 5, 6, 7, 9, 10, and 12, and three epistatic interaction QTLs were detected. Some genes related to panicle structure and grain shape were predicted in the major QTLs, and variations existed between the parents in all genes. Only OsIDS1, GS5, and SRS3 had nonsynonymous mutations that led to protein changes. Quantitative real-time PCR analysis showed that the expression levels of GS5 and OsFOR1 significantly differed between the two parents. In addition, genetic diversity analysis showed that the H3-35–H3-37, H6-18–H6-19, and H7-12–H7-14 intervals might be selected in the breeding program.

scholarly journals Detection of Quantitative Trait Loci (QTL) Associated with the Fruit Morphology of Tomato

Genes ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1117
Author(s):  
Pragya Adhikari ◽  
James McNellie ◽  
Dilip R. Panthee
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Recombinant Inbred Lines ◽  
Tomato Fruit ◽  
Snp Array ◽  
Fruit Shape ◽  
Phenotypic Variance ◽  
Fruit Morphology ◽  
Trait Loci ◽  
Shape And Size

Tomato (Solanum lycopersicum L.) is the second most-consumed vegetable in the world. The market value and culinary purpose of tomato are often determined by fruit size and shape, which makes the genetic improvement of these traits a priority for tomato breeders. The main objective of the study was to detect quantitative trait loci (QTL) associated with the tomato fruit shape and size. The use of elite breeding materials in the genetic mapping studies will facilitate the detection of genetic loci of direct relevance to breeders. We performed QTL analysis in an intra-specific population of tomato developed from a cross between two elite breeding lines NC 30P × NC-22L-1(2008) consisting of 110 recombinant inbred lines (RIL). The precision software Tomato Analyzer (TA) was used to measure fruit morphology attributes associated with fruit shape and size traits. The RIL population was genotyped with the SolCAP 7720 SNP array. We identified novel QTL controlling elongated fruit shape on chromosome 10, explaining up to 24% of the phenotypic variance. This information will be useful in improving tomato fruit morphology traits.

Dissection of quantitative trait loci for root characters and day length sensitivity in SynOpDH wheat (Triticum aestivum L.) bi-parental mapping population

2020 ◽  
Vol 18 (3) ◽  
pp. 130-142
Author(s):  
Harun Bektas ◽  
Christopher Earl Hohn ◽  
John Giles Waines
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Mapping Population ◽  
Biomass Accumulation ◽  
Triticum Aestivum L ◽  
Day Length ◽  
Shoot Biomass ◽  
Trait Loci ◽  
Root And Shoot Biomass ◽  
Homoeologous Chromosomes

AbstractThe genetics of the root system is still not dissected for wheat and lack of knowledge prohibits the use of marker-assisted selection in breeding. To understand the genetic mechanism of root development, Synthetic W7984 × Opata M85 doubled-haploid (SynOpDH) mapping population was evaluated for root and shoot characteristics in PVC tubes until maturity. Two major quantitative trait loci (QTLs) for total root biomass were detected on homoeologous chromosomes 2A and 2D with logarithm of the odds scores between 6.25–10.9 and 11.8–20.86, and total phenotypic effects between 12.7–17.7 and 26.6–40.04% in 2013 and 2014, respectively. There was a strong correlation between days to anthesis and root and shoot biomass accumulation (0.50–0.81). The QTL for biomass traits on chromosome 2D co-locates with QTL for days to anthesis. The effect of extended vegetative growth, caused by photoperiod sensitivity (Ppd) genes, on biomass accumulation was always hypothesized, this is the first study to genetically support this theory.

Quantitative trait loci of barley malting quality trait components in the Stellar/01Ab8219 mapping population

2014 ◽  
Vol 34 (1) ◽  
pp. 59-73 ◽  
Author(s):  
Emir Islamovic ◽  
Donald E. Obert ◽  
Allen D. Budde ◽  
Mark Schmitt ◽  
Robert Brunick ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Mapping Population ◽  
Malting Quality ◽  
Quality Trait ◽  
Trait Loci
Sign in / Sign up

Export Citation Format

Share Document