Quantitative trait loci mapping of panicle traits in rice

Authors

  • Baoyan Jia Department of Agronomy, Shenyang Agricultural University, 110161, Shenyang China|Department of Agronomy, Kyungpook National University, 702-701, Daegu, Republic of Korea
  • Bolun Wang Department of Agronomy, Shenyang Agricultural University, 110161, Shenyang China
  • Jae Keun Sohn Department of Agronomy, Kyungpook National University, 702-701, Daegu, Republic of Korea
  • Muhammad Irfan Department of Biotechnology, University of Sargodha, Sargodha 40100, Pakistan
  • Shu Wang Department of Agronomy, Shenyang Agricultural University, 110161, Shenyang China
  • Tae-heon Kim Department of Agronomy, Kyungpook National University, 702-701, Daegu, Republic of Korea
  • Xinhua Zhao Department of Agronomy, Shenyang Agricultural University, 110161, Shenyang China|Department of Agronomy, Kyungpook National University, 702-701, Daegu, Republic of Korea
  • Yang Qin Department of Agronomy, Shenyang Agricultural University, 110161, Shenyang China
Abstract:

In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat (SSR) primers covering distance of 1973.6 cM of the whole genome with mean distance of 13.9 cM among markers. QTLs were mapped using composite interval mapping method, nineteen QTLs were recognized for the panicle traits on chromosomes 4, 5, 6, 8, 10, 11, 12 with individual QTL explained 8.8% to 37.9% of phenotypic variation. Two pleiotropic effects loci were found on chromosomes 4 and 6. These QTLs affecting leaf traits, panicle traits and panicle branch traits would be beneficial to high-yield rice improvement.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Unveiling the genetic loci for a panicle developmental trait using genome-wide association study in rice

Panicle size has a high correlation with grain yield in rice. There is a bottleneck to identify the additional quantitative trait loci (QTL) for panicle size due to the conventional traits used for QTL mapping. To identify more genetic loci for panicle size, a panicle developmental trait (LNTB, the length from panicle neck-knot to the first primary branch in the rachis) related to panicle size ...

full text

Mapping quantitative trait loci for longitudinal traits in line crosses.

Quantitative traits whose phenotypic values change over time are called longitudinal traits. Genetic analyses of longitudinal traits can be conducted using any of the following approaches: (1) treating the phenotypic values at different time points as repeated measurements of the same trait and analyzing the trait under the repeated measurements framework, (2) treating the phenotypes measured f...

full text

Identification and Mapping of Quantitative Trait Loci Associated with Salinity Tolerance in Rice (Oryza Sativa) Using SSR Markers

Salinity stress is one of the most widespread soil problems next to drought, in rice growing areas. ReducingSodium (Na+), while maintaining Potassium (K+) uptake in rice are traits that would aid in salinity tolerance.Therefore, the identification of quantitative trait loci (QTLs) associated with those for Na+ and K+uptake, will enable breeders to use marker-assisted selection...

full text

Bayesian mapping of quantitative trait loci for complex binary traits.

A complex binary trait is a character that has a dichotomous expression but with a polygenic genetic background. Mapping quantitative trait loci (QTL) for such traits is difficult because of the discrete nature and the reduced variation in the phenotypic distribution. Bayesian statistics are proved to be a powerful tool for solving complicated genetic problems, such as multiple QTL with nonaddi...

full text

Quantitative Trait Loci Mapping

With the increasing number of polymorphic markers identified on the genetic map, positional cloning has become an extremely powerful tool, permitting the linkage and identification of a large number of disease genes. As the human genome project pro­ gresses and the gene map becomes as dense as the microsatellite polymorphism map, scientists will identify more disease genes through a combination...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 8  issue 1

pages  9- 15

publication date 2019-03-01

{@ msg @}

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023