Genetic analysis and QTL mapping of fruit length and diameter in a cucumber (Cucumber sativus L.) recombinant inbred line (RIL) population

2019 ◽  
Vol 250 ◽  
pp. 214-222 ◽  
Author(s):  
Tingting Zhang ◽  
Xvzhen Li ◽  
Yuting Yang ◽  
Xiao Guo ◽  
Qin Feng ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Qtl Mapping ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Fruit Length ◽  
Ril Population

Linkage map construction and quantitative trait loci (QTL) mapping using intermated vs. selfed recombinant inbred maize line (Zea mays L.)

2015 ◽  
Vol 95 (6) ◽  
pp. 1133-1144
Author(s):  
R. Khanal ◽  
A. Navabi ◽  
L. Lukens
Keyword(s):  
Quantitative Trait Loci ◽  
Qtl Mapping ◽  
Linkage Map ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Quantitative Trait ◽  
Recombinant Inbred ◽  
Map Construction ◽  
Ril Population ◽  
Trait Loci

Khanal, R., Navabi, A. and Lukens, L. 2015. Linkage map construction and quantitative trait loci (QTL) mapping using intermated vs. selfed recombinant inbred maize line (Zea mays L.). Can. J. Plant Sci. 95: 1133–1144. Intermating of individuals in an F2 population increases genetic recombination between markers, which is useful for linkage map construction and quantitative trait loci (QTL) mapping. The objectives of this study were to compare the linkage maps and precision of QTL detection in an intermated recombinant inbred line (IRIL) population and a selfed recombinant inbred line (RIL) population. Both, IRIL and RIL, populations were developed from Zea mays inbred lines CG60 and CG102. The populations were grown in two environments to evaluate traits, and inbred lines from each population were genotyped with SSR and SNP markers for linkage map construction and QTL identification. In addition, we simulated RIL and IRIL populations from two inbred parents to compare the precision of QTL detection between simulated RIL and IRIL populations. In the empirical study, the linkage map was longer in RIL as compared with IRIL, and the average QTL support interval was reduced by 1.37-fold in the IRIL population compared with the RIL population. We detected 16 QTL for flowering time, plant height, leaf number, and stay green in at least one recombinant inbred line population. Two out of 16 QTL were shared between two recombinant inbred line populations. In the simulation study, the QTL support interval was reduced by 1.66-fold in the IRIL population as compared with the RIL population and linked QTL were identified more frequently in IRIL population as compared with RIL population. This study supports the utility of intermated RIL populations for precise QTL mapping.

scholarly journals Genetic analysis of maize shank length by QTL mapping in three recombinant inbred line populations

Plant Science ◽  
2021 ◽  
Vol 303 ◽  
pp. 110767
Author(s):  
Meiling Liu ◽  
Wenshu He ◽  
Ao Zhang ◽  
Lijun Zhang ◽  
Daqiu Sun ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Qtl Mapping ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred

scholarly journals Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers

Genes ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1690
Author(s):  
Yheni Dwiningsih ◽  
Anuj Kumar ◽  
Julie Thomas ◽  
Charles Ruiz ◽  
Jawaher Alkahtani ◽  
...  
Keyword(s):  
Candidate Genes ◽  
High Throughput ◽  
Inbred Line ◽  
Recombinant Inbred Line ◽  
Recombinant Inbred ◽  
Genetic Information ◽  
Snp Markers ◽  
Rice Grain ◽  
Grain Length ◽  
Ril Population

Rice (Oryza sativa L.) is the primary food for half of the global population. Recently, there has been increasing concern in the rice industry regarding the eating and milling quality of rice. This study was conducted to identify genetic information for grain characteristics using a recombinant inbred line (RIL) population from a japonica/indica cross based on high-throughput SNP markers and to provide a strategy for improving rice quality. The RIL population used was derived from a cross of “Kaybonnet (KBNT lpa)” and “ZHE733” named the K/Z RIL population, consisting of 198 lines. A total of 4133 SNP markers were used to identify quantitative trait loci (QTLs) with higher resolution and to identify more accurate candidate genes. The characteristics measured included grain length (GL), grain width (GW), grain length to width ratio (RGLW), hundred grain weight (HGW), and percent chalkiness (PC). QTL analysis was performed using QTL IciMapping software. Continuous distributions and transgressive segregations of all the traits were observed, suggesting that the traits were quantitatively inherited. A total of twenty-eight QTLs and ninety-two candidate genes related to rice grain characteristics were identified. This genetic information is important to develop rice varieties of high quality.

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