Reference "Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon"

Reference ID

8144

Title

Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon

Source

Theoretical and applied genetics, 2003, vol. 107, pp. 1419-1432

Authors (7)

Septiningsih-E-M	Prasetiyono-J
Lubis-E	Tai-T-H
Tjubaryat-T	Moeljopawiro-S
McCouch-S-R

Abstract

A BC(2)F(2) population developed from an interspecific cross between Oryza
sativa (cv IR64) and O. rufipogon (IRGC 105491) was used in an advanced
backcross QTL analysis to identify and introduce agronomically useful genes from
this wild relative into the cultivated gene pool. The objectives of this study
were: (1) to identify putative yield and yield component QTLs that can be useful
to improve the elite cultivar IR64; (2) to compare the QTLs within this study
with previously reported QTLs in rice as the basis for identifying QTLs that are
stable across different environments and genetic backgrounds; and (3) to compare
the identified QTLs with previously reported QTLs from maize to examine the
degree of QTL conservation across the grass family. Two hundred eighty-five
families were evaluated in two field environments in Indonesia, with two
replications each, for 12 agronomic traits. A total of 165 markers consisting of
131 SSRs and 34 RFLPs were used to construct the genetic linkage map. By
employing interval mapping and composite interval mapping, 42 QTLs were
identified. Despite its inferior performance, 33% of the QTL alleles originating
from O. rufipogon had a beneficial effect for yield and yield components in the
IR64 background. Twenty-two QTLs (53.4%) were located in similar regions as
previously reported rice QTLs, suggesting the existence of stable QTLs across
genetic backgrounds and environments. Twenty QTLs (47.6%) were exclusively
detected in this study, uncovering potentially novel alleles from the wild, some
of which might improve the performance of the tropical indica variety IR64.
Additionally, several QTLs for plant height, grain weight, and flowering time
detected in this study corresponded to homeologous regions in maize containing
previously detected maize QTLs for these traits.