scholarly journals Multi-environment QTL analysis using an updated genetic map of a widely distributed Seri × Babax spring wheat population

2019 ◽  
Vol 39 (9) ◽  
Author(s):  
Caiyun Liu ◽  
Mehdi Khodaee ◽  
Marta S. Lopes ◽  
Carolina Sansaloni ◽  
Susanne Dreisigacker ◽  
...  
Keyword(s):  
Genetic Map ◽  
Spring Wheat ◽  
Qtl Analysis ◽  
Wheat Population

Agronomic Performance of Rht Alleles in a Spring Wheat Population across a Range of Moisture Levels

Crop Science ◽  
2005 ◽  
Vol 45 (3) ◽  
pp. 939-947 ◽  
Author(s):  
Joshua D. Butler ◽  
Patrick F. Byrne ◽  
Valiollah Mohammadi ◽  
Phillip L. Chapman ◽  
Scott D. Haley
Keyword(s):  
Spring Wheat ◽  
Agronomic Performance ◽  
Wheat Population

Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.)

Euphytica ◽  
2014 ◽  
Vol 201 (2) ◽  
pp. 195-213 ◽  
Author(s):  
Shiyi Tang ◽  
Zhonghua Teng ◽  
Tengfei Zhai ◽  
Xiaomei Fang ◽  
Fang Liu ◽  
...  
Keyword(s):  
Gossypium Hirsutum ◽  
Genetic Map ◽  
Qtl Analysis ◽  
Upland Cotton ◽  
Fiber Quality ◽  
Quality Traits ◽  
Gossypium Hirsutum L ◽  
Fiber Quality Traits

scholarly journals Novel Quantitative Trait Loci for Grain Cadmium Content Identified in Hard White Spring Wheat

2021 ◽  
Vol 12 ◽  
Author(s):  
Ling Qiao ◽  
Justin Wheeler ◽  
Rui Wang ◽  
Kyle Isham ◽  
Natalie Klassen ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Candidate Gene ◽  
Spring Wheat ◽  
Quantitative Trait ◽  
Field Trials ◽  
Cadmium Content ◽  
Wheat Population ◽  
Trait Loci ◽  
Multiple Field ◽  
First Time

Cadmium (Cd) is a heavy metal that can cause a variety of adverse effects on human health, including cancer. Wheat comprises approximately 20% of the human diet worldwide; therefore, reducing the concentrations of Cd in wheat grain will have significant impacts on the intake of Cd in food products. The tests for measuring the Cd content in grain are costly, and the content is affected significantly by soil pH. To facilitate breeding for low Cd content, this study sought to identify quantitative trait loci (QTL) and associated molecular markers that can be used in molecular breeding. One spring wheat population of 181 doubled haploid lines (DHLs), which was derived from a cross between two hard white spring wheat cultivars “UI Platinum” (UIP) and “LCS Star” (LCS), was assessed for the Cd content in grain in multiple field trials in Southeast Idaho, United States. Three major QTL regions, namely, QCd.uia2-5B, QCd.uia2-7B, and QCd.uia2-7D, were identified on chromosomes 5B, 7B, and 7D, respectively. All genes in these three QTL regions were identified from the NCBI database. However, three genes related to the uptake and transport of Cd were used in the candidate gene analysis. The sequences of TraesCS5B02G388000 (TaHMA3) in the QCd.uia2-5B region and TraesCS7B02G320900 (TaHMA2) and TraesCS7B02G322900 (TaMSRMK3) in the QCd.uia2-7B region were compared between UIP and LCS. TaHMA2 on 7B is proposed for the first time as a candidate gene for grain Cd content in wheat. A KASP marker associated with this gene was developed and it will be further validated in near-isogenic lines via a gene-editing system in future studies.

Construction of a high-density linkage map and QTL analysis for pistil abortion in apricot (Prunus armeniaca L.)

2019 ◽  
Vol 99 (5) ◽  
pp. 599-610
Author(s):  
Junhuan Zhang ◽  
Haoyuan Sun ◽  
Li Yang ◽  
Fengchao Jiang ◽  
Meiling Zhang ◽  
...  
Keyword(s):  
Linkage Map ◽  
Genetic Map ◽  
Qtl Analysis ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Prunus Armeniaca ◽  
High Density ◽  
Pistil Abortion ◽  
Genomic Study ◽  
Prunus Armeniaca L

A high-density genetic map of apricot (Prunus armeniaca L.) was constructed using an F1 population constructed by crossing two main Chinese cultivars ‘Chuanzhihong’ and ‘Luotuohuang’, coupled with a recently developed reduced representation library (RRL) sequencing. The average sequencing depth was 38.97 in ‘Chuanzhihong’ (female parent), 33.05 in ‘Luotuohuang’ (male parent), and 8.91 in each progeny. Based on the sequencing data, 12 451 polymorphic markers were developed and used in the construction of the genetic linkage map. The final map of apricot comprised eight linkage groups, including 1991 markers, and covered 886.25 cM of the total map length. The average distance between adjacent markers was narrowed to 0.46 cM. Gaps larger than 5 cM only accounted for <0.33%. To our knowledge, this map is the densest genetic linkage map that is currently available for apricot research. It is a valuable linkage map for quantitative trait loci (QTLs) identification of important agronomic traits. Moreover, the high marker density and well-ordered markers that this linkage map provides will be useful for molecular breeding of apricot as well. In this study, we applied this map in the QTL analysis of an important agronomic trait, pistil abortion. Several QTLs were detected and mapped respectively to the middle regions of LG5 (51.005∼59.4 cM) and LG6 (72.884∼76.562 cM), with nine SLAF markers closely linked to pistil abortion. The high-density genetic map and QTLs detected in this study will facilitate marker-assisted breeding and apricot genomic study.

Construction of the first high-density genetic map for growth related QTL analysis in Ancherythroculter nigrocauda

2020 ◽  
Author(s):  
Yanhong Sun ◽  
Pei Li ◽  
Guiying Wang ◽  
Renli Sun ◽  
Jian Chen ◽  
...  
Keyword(s):  
Genetic Map ◽  
Qtl Analysis ◽  
High Density

QTL analysis of seed size by a high-density GBS genetic map in watermelon (Citrullus lanatus L.)

2020 ◽  
pp. 121-126
Author(s):  
Meiling Gao ◽  
Xiaoxue Liang ◽  
Yu Guo ◽  
Yanlin Zhang ◽  
Yue Gao ◽  
...  
Keyword(s):  
Seed Size ◽  
Genetic Map ◽  
Qtl Analysis ◽  
Citrullus Lanatus ◽  
High Density

Earliness per se quantitative trait loci and their interaction with Vrn-B1 locus in a spring wheat population

2015 ◽  
Vol 35 (9) ◽  
Author(s):  
Hua Chen ◽  
Muhammad Iqbal ◽  
Enid Perez-Lara ◽  
Rong-Cai Yang ◽  
Curtis Pozniak ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Spring Wheat ◽  
Quantitative Trait ◽  
Earliness Per Se ◽  
Wheat Population ◽  
Trait Loci ◽  
Per Se
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