» Articles » PMID: 19352757

Comparative Mapping of QTLs for Agronomic Traits of Rice Across Environments by Using a Doubled-haploid Population

Overview
Publisher Springer
Specialty Genetics
Date 2009 Apr 9
PMID 19352757
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

We report here the RFLP mapping of quantitative trait loci (QTLs) which affect some important agronomic traits in cultivated rice. An anther culture-derived doubled-haploid (DH) population was established from a cross between indica and japonica rice varieties. A molecular linkage map comprising 137 markers was constructed based on this population which covered the rice genome at intervals of 14.8 cM on average. The linkage map was used to locate QTLs for such important agronomic traits as heading date, plant height, number of spikelets per panicle, number of grains per panicle, 1000-grain weight and the percentage of seed set, by interval mapping. Evidence of genotype-by-environment interaction was found by comparing QTL maps of the same population grown in three diverse environments. A total of 22 QTLs for six agronomic traits was detected which were significant in at least one environment, but only seven were significant in all three environments; seven were significant in two environments and eight could only be detected in a single environment. However, QTLs-by-environment interaction was trait dependent. QTLs for spikelets and grains per panicle were common across environments while traits like heading date and plant height were more sensitive to environment.

Citing Articles

A major pleiotropic QTL identified for yield components and nitrogen content in rice (Oryza sativa L.) under differential nitrogen field conditions.

Vishnukiran T, Neeraja C, Jaldhani V, Vijayalakshmi P, Rao P, Subrahmanyam D PLoS One. 2020; 15(10):e0240854.

PMID: 33079957 PMC: 7575116. DOI: 10.1371/journal.pone.0240854.


Detection of QTLs for genotype × environment interactions in tomato seeds and seedlings.

Geshnizjani N, Snoek B, Willems L, Rienstra J, Nijveen H, Hilhorst H Plant Cell Environ. 2020; 43(8):1973-1988.

PMID: 32419153 PMC: 7496158. DOI: 10.1111/pce.13788.


Intervention of molecular breeding in water saving rice production system: aerobic rice.

Meena R, Bhusal N, Kumar K, Jain R, Jain S 3 Biotech. 2019; 9(4):133.

PMID: 30863712 PMC: 6405779. DOI: 10.1007/s13205-019-1657-0.


Transcriptome analysis of near-isogenic line provides novel insights into genes associated with panicle traits regulation in rice.

Zhang W, Sun P, He Q, Shu F, Deng H PLoS One. 2018; 13(6):e0199077.

PMID: 29924832 PMC: 6010284. DOI: 10.1371/journal.pone.0199077.


QTL mapping using an ultra-high-density SNP map reveals a major locus for grain yield in an elite rice restorer R998.

Zhu M, Liu D, Liu W, Li D, Liao Y, Li J Sci Rep. 2017; 7(1):10914.

PMID: 28883457 PMC: 5589899. DOI: 10.1038/s41598-017-10666-7.


References
1.
Lander E, Botstein D . Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989; 121(1):185-99. PMC: 1203601. DOI: 10.1093/genetics/121.1.185. View

2.
Lefebvre V, Palloix A, Caranta C, Pochard E . Construction of an intraspecific integrated linkage map of pepper using molecular markers and doubled-haploid progenies. Genome. 1995; 38(1):112-21. DOI: 10.1139/g95-014. View

3.
McCouch S, Kochert G, Yu Z, Wang Z, Khush G, Coffman W . Molecular mapping of rice chromosomes. Theor Appl Genet. 2013; 76(6):815-29. DOI: 10.1007/BF00273666. View

4.
Young N, Tanksley S . Restriction fragment length polymorphism maps and the concept of graphical genotypes. Theor Appl Genet. 2013; 77(1):95-101. DOI: 10.1007/BF00292322. View

5.
Mohan M, Nair S, Bentur J, Rao U, Bennett J . RFLP and RAPD mapping of the rice gm2 gene that confers resistance to biotype 1 of gall midge (Orseolia oryzae). Theor Appl Genet. 2013; 87(7):782-8. DOI: 10.1007/BF00221129. View