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E.g., Wessler, regeneration, PubMed ID 17578919.

expand all sections collapse all sections  Reference "Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon"
Reference ID 8143
Title Identification of quantitative trait loci for grain quality 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. 1433-1441
Authors (4)
Abstract The objective of this study was to identify quantitative trait loci (QTLs)
associated with grain quality in rice. Two hundred eighty-five BC(2)F(2
)families developed from an interspecific cross between cv IR64 and Oryza
rufipogon (IRGC 105491) were evaluated for 14 seed quality traits. A total of
165 markers consisting of 131 single sequence repeats and 34 restriction
fragment length polymorphism markers were used to create a genetic linkage map
spanning the 12 rice chromosomes. Twenty-three independent QTLs were identified
using single point analysis, interval mapping, and composite interval mapping.
These loci consisted of one QTL for filled rough/total rough rice ratio, two for
grain density, one for percentage of de-husked rice grains, two for percentage
of green rice grains, three for percentage of damaged-yellow rice grains, two
for percentage of red rice grains, one for milled rice recovery, three for head
rice recovery, four for broken rice grains, two for crushed rice grains, one for
amylose content, and one for gel consistency. For most of the QTLs identified in
this study, the O. rufipogon-derived allele contributed an undesirable effect.
For amylose content and gel consistency, the O. rufipogon allele may be useful
in an IR64 background, depending on the cultural preferences of the consumer.
Careful selection against the regions associated with negative effects will be
required to avoid unwanted grain quality characteristics during the development
of improved varieties for yield and yield components using introgressions from
O. rufipogon.

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