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.

Development of gene-tagged markers for quantitative trait loci underlying rice yield components

Euphytica ◽  
2009 ◽  
Vol 169 (2) ◽  
pp. 215-226 ◽  
Author(s):  
Chang-Jie Yan ◽  
Song Yan ◽  
Ya-Chun Yang ◽  
Xiu-Hong Zeng ◽  
Yu-Wei Fang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Yield Components ◽  
Rice Yield ◽  
Trait Loci

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.

scholarly journals Quantitative Trait Loci Mapping for Rice Yield-Related Traits Using Chromosomal Segment Substitution Lines

Rice Science ◽  
2019 ◽  
Vol 26 (5) ◽  
pp. 261-264 ◽  
Author(s):  
L.I. Zihe ◽  
Aamir Riaz ◽  
Zhang Yingxin ◽  
Galal Bakr Anis ◽  
Zhu Aike ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Rice Yield ◽  
Chromosomal Segment ◽  
Quantitative Trait Loci Mapping ◽  
Substitution Lines ◽  
Trait Loci ◽  
Segment Substitution

Mapping quantitative trait loci underlying the cooking and eating quality of rice using a DH population

2005 ◽  
Vol 15 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Rui Tian ◽  
Gong-Hao Jiang ◽  
Li-Huan Shen ◽  
Ling-Qiang Wang ◽  
Yu-Qing He
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Eating Quality ◽  
Dh Population ◽  
Trait Loci ◽  
Cooking And Eating Quality

Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars

2011 ◽  
Vol 90 (2) ◽  
pp. 209-215 ◽  
Author(s):  
XU FENG BAI ◽  
LI JUN LUO ◽  
WEN HAO YAN ◽  
MALLIKARJUNA RAO KOVI ◽  
YONG ZHONG XING
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Rice Yield ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Trait Loci

scholarly journals Inheritance Analysis and Quantitative Trait Loci Detection of Head Splitting Resistance in Cabbage (Brassica oleracea L. var. capitata)

HortScience ◽  
2015 ◽  
Vol 50 (7) ◽  
pp. 944-951 ◽  
Author(s):  
Yanbin Su ◽  
Yumei Liu ◽  
Huolin Shen ◽  
Xingguo Xiao ◽  
Zhansheng Li ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Qtl Mapping ◽  
Quantitative Trait ◽  
Major Gene ◽  
Genetic Regulation ◽  
Interval Mapping ◽  
Phenotypic Data ◽  
Dh Population ◽  
Trait Loci ◽  
Inclusive Composite Interval Mapping

Head splitting resistance (HSR) in cabbage is an important trait closely related to appearance, yield, storability, and mechanical harvestability. In this study, a doubled haploid (DH) population derived from a cross between head splitting-susceptible inbred cabbage line 79-156 and resistant line 96-100 was used to analyze inheritance and detect quantitative trait loci (QTLs) for HSR during 2011–12 in Beijing, China. The analysis was performed using a mixed major gene/polygene inheritance method and QTL mapping. This approach, which uncovered no cytoplasmic effect, indicated that HSR can be attributed to additive-epistatic effects of three major gene pairs combined with those of polygenes. Major gene and polygene heritabilities were estimated to be 88.03% to 88.22% and 5.65% to 7.60%, respectively. Using the DH population, a genetic map was constructed with simple sequence repeat (SSR) markers anchored on nine linkage groups spanning 906.62 cM. Eight QTLs for HSR were located on chromosomes C4, C5, C7, and C9 based on 2 years of phenotypic data using both multiple-QTL mapping and inclusive composite interval mapping. The identified QTLs collectively explained 37.6% to 46.7% of phenotypic variation. Three or four major QTLs (Hsr 4.2, 7.2, 9.3, and/or 9.1) showing a relatively larger effect were robustly detected in different years or with different mapping methods. The HSR trait was shown to have a complex genetic basis. Results from QTL mapping and classical genetic analysis were consistent. Our results provide a foundation for further research on HSR genetic regulation and molecular marker-assisted selection (MAS) for HSR in cabbage.

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