• 论文

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

Jiming Li;Jinhua Xiao;Silvana Grandillo;Longying Jiang;Yizhen Wan;Qiyun Deng;隆平 袁;Susan R. McCouch

Cornell University;Monsanto Company;Research Division Portici;China National Hybrid Rice Research and Development Center

发表时间:2004-8

期 刊:Genome

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=5144230737&partnerID=8YFLogxK

摘要

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.

关键词

Grain quality
Molecular markers
O. glaberrima
O. sativa
Quantitative trait loci (QTL)

相关科学

生物化学、遗传学和分子生物学
生物技术
遗传学
分子生物学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 1.493 1.384
2000 1.257 1.193
2001 1.175 0.998
2002 1.226 1.176
2003 1.316 1.184
2004 1.199 1.186
2005 1.243 1.147
2006 1.089 0.987
2007 1 0.86
2008 0.908 0.864
2009 1.01 1.182
2010 0.855 0.943
2011 2.8 0.827 0.792
2012 3.1 0.843 0.885
2013 3.1 0.724 0.848
2014 2.6 0.725 0.655
2015 2.5 0.669 0.583
2016 2.5 0.62 0.587
2017 2.4 0.655 0.661
2018 2.9 0.784 0.736
2019 4.1 0.928 0.88
2020 3.8
2021

相似文献推荐