scholarly journals Identification of quantitative trait loci for grain appearance using chromosome segment substitution lines in rice

2008 ◽  
Vol 10 (3) ◽  
pp. 91-99 ◽  
Author(s):  
Takeshi Ebitani ◽  
Yoshitaka Yamamoto ◽  
Masahiro Yano ◽  
Masaharu Funane
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome Segment ◽  
Substitution Lines ◽  
Chromosome Segment Substitution Lines ◽  
Trait Loci ◽  
Segment Substitution

Mapping quantitative trait loci for cold tolerance at the booting stage in rice by using chromosome segment substitution lines

2018 ◽  
Vol 69 (3) ◽  
pp. 278 ◽  
Author(s):  
Jianguo Lei ◽  
Shan Zhu ◽  
Caihong Shao ◽  
Shusheng Tang ◽  
Renliang Huang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Low Temperature ◽  
Cold Tolerance ◽  
Quantitative Trait ◽  
Chromosome Segment ◽  
Substitution Lines ◽  
Booting Stage ◽  
Chromosome Segment Substitution Lines ◽  
Trait Loci ◽  
Segment Substitution

Low temperature at the booting stage in rice (Oryza sativa L.) can cause male sterility, resulting in yield losses. A set of chromosome segment substitution lines derived from the varieties Sasanishiki (cold-tolerant, ssp. japonica) and Habataki (cold-susceptible, ssp. indica) was used for analysis across two natural, low-temperature environments to study the genetic basis for cold tolerance at the booting stage. Spikelet fertility was used as the evaluation index for cold tolerance identification. Eight quantitative trait loci (QTLs) for cold tolerance were detected, two of which were located on chromosomes 3 (qCTSF3.1 and qCTSF3.2), and the others on chromosomes 4 (qCTSF4), 5 (qCTSF5), 6 (qCTSF6), 7 (qCTSF7), 8 (qCTSF8) and 9 (qCTSF9). The phenotypic variation explained by each QTL ranged from 5.4% to 25.3%. Of the eight QTLs, six (qCTSF3.2, qCTSF5, qCTSF6, qCTSF7, qCTSF8, qCTSF9) were repeatedly detected in two environments. QTLs qCTSF3.1, qCTSF7 and qCTSF9 overlapped with previously reported QTLs. All tolerant alleles for all QTLs were contributed by Sasanishiki.

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

scholarly journals Genome-wide quantitative trait loci mapping on Verticillium wilt resistance in 300 chromosome segment substitution lines from Gossypium hirsutum × Gossypium barbadense

2019 ◽  
Author(s):  
Md Harun or Rashid ◽  
Peng-tao Li ◽  
Tingting Chen ◽  
Koffi Kibalou Palanga ◽  
Wan-kui Gong ◽  
...  
Keyword(s):  
Quantitative Trait ◽  
Molecular Mechanisms ◽  
Fiber Quality ◽  
Meta Analysis ◽  
Chromosome Segment ◽  
High Yield ◽  
Substitution Lines ◽  
Phenotypic Data ◽  
Chromosome Segment Substitution Lines ◽  
Segment Substitution

AbstractCotton Verticillium wilt (VW) is a devastating disease seriously affecting fiber yield and quality, and the most effective and economical prevention measure at present is selection and extension of Gossypium varieties harboring high resistant VW. However, multiple attempts to improve the VW resistance of the most widely cultivated Upland cotton have brought in little significant progress, and it seems necessary and urgent to develop Chromosome segment substitution lines (CSSLs) for merging the superior genes related with high yield and wide adaptation from G. hirsutum and VW resistance and excellent fiber quality from G. barbadense. In this study, 300 CSSLs were chosen from the developed BC5F3:5 CSSLs constructed by G. hirsutum CCRI36 and G. barbadense Hai1 to conduct quantitative trait locus (QTL) mapping on VW resistance, and a total of 53 QTLs relevant to VW disease index (DI) were identified together with the phenotypic data of 2 years investigations in two fields with two replications per year. All the QTLs were distributed on 20 chromosomes with phenotypic variation of 3.74-11.89%, of which 29 stable ones were consistent in at least two environments. Based on Meta-analysis on the 53 QTLs, 43 novel ones were identified, while 10 ones consistent to previously identified QTLs. Meanwhile, 32 QTL hotspot regions were detected, including 15 ones were novel. This study concentrates on QTL identification and screening hotspot region related with VW in the 300 CSSLs, which lay a solid platform not only for revealing the genetic and molecular mechanisms of VW resistance, but also for further fine mapping, gene cloning and molecular designing in breeding program for resistant cotton varieties.

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