Quantitative Trait Loci for Rice Grain Quality Improvement

2020 ◽  
pp. 687-697
Author(s):  
Saket Chandra ◽  
Aditya Banerjee ◽  
Aryadeep Roychoudhury
Keyword(s):  
Quality Improvement ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Grain Quality ◽  
Rice Grain ◽  
Trait Loci

QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice

Genome ◽  
2004 ◽  
Vol 47 (4) ◽  
pp. 697-704 ◽  
Author(s):  
Jiming Li ◽  
Jinhua Xiao ◽  
Silvana Grandillo ◽  
Longying Jiang ◽  
Yizhen Wan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Grain Quality ◽  
Brown Rice ◽  
Oryza Glaberrima ◽  
Rice Grain ◽  
Backcross Population ◽  
Advanced Backcross ◽  
Kernel Length ◽  
Trait Loci

An interspecific advanced backcross population derived from a cross between Oryza sativa 'V20A' (a popular male-sterile line used in Chinese rice hybrids) and Oryza glaberrima (accession IRGC No. 103544 from Mali) was used to identify quantitative trait loci (QTL) associated with grain quality and grain morphology. A total of 308 BC3F1 hybrid families were evaluated for 16 grain-related traits under field conditions in Changsha, China, and the same families were evaluated for RFLP and SSR marker segregation at Cornell University (Ithaca, N.Y.). Eleven QTL associated with seven traits were detected in six chromosomal regions, with the favorable allele coming from O. glaberrima at eight loci. Favorable O. glaberrima alleles were associated with improvements in grain shape and appearance, resulting in an increase in kernel length, transgressive variation for thinner grains, and increased length to width ratio. Oryza glaberrima alleles at other loci were associated with potential improvements in crude protein content and brown rice yield. These results suggested that genes from O. glaberrima may be useful in improving specific grain quality characteristics in high-yielding O. sativa hybrid cultivars.Key words: quantitative trait loci (QTL), grain quality, molecular markers, O. sativa, O. glaberrima.

scholarly journals Analysis of Rice Grain Quality-Associated Quantitative Trait Loci by Using Genetic Mapping

2014 ◽  
Vol 05 (09) ◽  
pp. 1125-1132 ◽  
Author(s):  
Byung-Wook Yun ◽  
Min-Gyu Kim ◽  
Tri Handoyo ◽  
Kyung-Min Kim
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Mapping ◽  
Quantitative Trait ◽  
Grain Quality ◽  
Rice Grain ◽  
Trait Loci

Identification of quantitative trait loci for physical and chemical properties of rice grain

2010 ◽  
Vol 4 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Yong-Gu Cho ◽  
Hyeon-Jung Kang ◽  
Young-Tae Lee ◽  
Seung-Keun Jong ◽  
Moo-Young Eun ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chemical Properties ◽  
Rice Grain ◽  
Physical And Chemical Properties ◽  
Trait Loci ◽  
Physical And Chemical ◽  
And Chemical Properties

scholarly journals Single nucleotide polymorphisms linked to quantitative trait loci for grain quality traits in wheat

2016 ◽  
Vol 4 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Chunlian Li ◽  
Guihua Bai ◽  
Shiaoman Chao ◽  
Brett Carver ◽  
Zhonghua Wang
Keyword(s):  
Quantitative Trait Loci ◽  
Single Nucleotide Polymorphisms ◽  
Quantitative Trait ◽  
Grain Quality ◽  
Quality Traits ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Trait Loci

scholarly journals Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain

2013 ◽  
Vol 127 (1) ◽  
pp. 137-165 ◽  
Author(s):  
Min Zhang ◽  
Shannon R. M. Pinson ◽  
Lee Tarpley ◽  
Xin-Yuan Huang ◽  
Brett Lahner ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Rice Grain ◽  
Trait Loci

scholarly journals Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat (Triticum aestivum L.)

2021 ◽  
Vol 12 ◽  
Author(s):  
Nikwan Shariatipour ◽  
Bahram Heidari ◽  
Ahmad Tahmasebi ◽  
Christopher Richards
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Grain Quality ◽  
Agronomic Traits ◽  
Meta Analysis ◽  
Crop Improvement ◽  
Comparative Genomic ◽  
Trait Loci ◽  
Stable Qtls ◽  
Improvement Programs

Comparative genomics and meta-quantitative trait loci (MQTLs) analysis are important tools for the identification of reliable and stable QTLs and functional genes controlling quantitative traits. We conducted a meta-analysis to identify the most stable QTLs for grain yield (GY), grain quality traits, and micronutrient contents in wheat. A total of 735 QTLs retrieved from 27 independent mapping populations reported in the last 13 years were used for the meta-analysis. The results showed that 449 QTLs were successfully projected onto the genetic consensus map which condensed to 100 MQTLs distributed on wheat chromosomes. This consolidation of MQTLs resulted in a three-fold reduction in the confidence interval (CI) compared with the CI for the initial QTLs. Projection of QTLs revealed that the majority of QTLs and MQTLs were in the non-telomeric regions of chromosomes. The majority of micronutrient MQTLs were located on the A and D genomes. The QTLs of thousand kernel weight (TKW) were frequently associated with QTLs for GY and grain protein content (GPC) with co-localization occurring at 55 and 63%, respectively. The co- localization of QTLs for GY and grain Fe was found to be 52% and for QTLs of grain Fe and Zn, it was found to be 66%. The genomic collinearity within Poaceae allowed us to identify 16 orthologous MQTLs (OrMQTLs) in wheat, rice, and maize. Annotation of promising candidate genes (CGs) located in the genomic intervals of the stable MQTLs indicated that several CGs (e.g., TraesCS2A02G141400, TraesCS3B02G040900, TraesCS4D02G323700, TraesCS3B02G077100, and TraesCS4D02G290900) had effects on micronutrients contents, yield, and yield-related traits. The mapping refinements leading to the identification of these CGs provide an opportunity to understand the genetic mechanisms driving quantitative variation for these traits and apply this information for crop improvement programs.

Quantitative trait loci for phytate in rice grain and their relationship with grain micronutrient content

Euphytica ◽  
2006 ◽  
Vol 154 (3) ◽  
pp. 289-294 ◽  
Author(s):  
James C. R. Stangoulis ◽  
Bao-Lam Huynh ◽  
Ross M. Welch ◽  
Eun-Young Choi ◽  
Robin D. Graham
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Rice Grain ◽  
Trait Loci
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