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Primary and secondary trisomics as well as telotrisomics have been well characterized in rice morphologically and the transmission rates of extra chromosomes have been investigated. Primary trisomics have been utilized for associating genes and linkage groups with respective chromosomes. Secondary trisomics and telotrisomics were employed to associate genes with respective chromosome arms. As a result the positions of centromeres on the linkage maps could be pinpointed. Monosomic alien addition lines (MAALs) have a complete chromosome complement of Oryza sativa and a single chromosome of a wild species in genus Oryza. All the MAALs of O. officinalis and O. punctata have been produced. A partial set of MAALs of 5 other wild species of rice have also been produced. These aneuploid stocks of rice are useful not only for genetic study such as gene dosage analysis but also for rice breeding. [ABSTRACT FROM AUTHOR]

Tillering is one of the most important agronomic traits related to grain production in rice ( Oryza sativa L.). A japonica-type variety, Aikawa 1, is known to have low-tiller number. The detailed location of a low-tillering gene, Ltn, which has been localized on chromosome 8 in Aikawa 1, was confirmed by molecular mapping. Using BC5F2 individuals derived from a cross between IR64 and Aikawa 1, the low-tillering gene was mapped to an interval defined by SSR markers ssr5816-3 and A4765. This was designated as Ltn because there was no reported gene for tillering in the region of chromosome 8. Through high-resolution linkage analysis, the candidate region of Ltn was located between DNA markers ssr6049-23 and ind6049-1 corresponding to 38.6 kbp on the Nipponbare genome sequence. These DNA markers, which were tightly linked to Ltn, are useful for marker-assisted selection in breeding studies. [ABSTRACT FROM AUTHOR]

Improvement of rice (Oryza sativa L.) yields through breeding requires a good understanding of genetic factors that control component traits, such as spikelet number per panicle (SN/PnN). The objective of this study was to identify and characterize quantitative trait loci (QTLs) for SN/PnN with emphasis on their interactions with growth environments using recombinant inbred (RI) and heterogeneous inbred family (HIF) lines. One-hundred-and-ninety-one RI lines (F7) derived from a cross between two genetically divergent high-yielding varieties, Milyang 23 (M23, Indica type with a large SN/PnN) and Akihikari (AK, Japonica type), were grown for three crop seasons in both Joetsu, Japan (temperate climate) and Los Baños, Philippines (tropical climate) to detect QTLs for SN/PnN at the LOD threshold of 2.0 using simple interval mapping. QTLs were detected repeatedly in eight genomic regions on chromosomes (chr.) 1 (two regions), 2 (two), 4 (two) and 6 (two). Two closely linked QTLs located on the short arm of chr. 1 (the nearest RFLP marker, XNpb359) increased SN/PnN with the M23 allele more significantly in Joetsu (LOD=14.0–18.2) than in Los Baños (LOD=5.7–9.6). The QTL effect detected on chr. 4 (C513) was likewise enhanced in Joetsu, and those on chr. 2 (XNpb298) and 6 (XNpb12) for the Los Baños dry season. Thus, the interaction between QTL and environment was greatly involved in the determination of SN/PnN. For detailed characterization of the large-effect QTLs detected on chr. 1 (XNpb359), 20 HIF lines that segregated for the genomic region with the M23 and AK homozygotes as being isogenic for other regions were evaluated in Los Baños for SN/PnN and other agronomic traits. For the heading stage, the M23 homozygote resulted in a 29% decrease in tiller number relative to the AK homozygote, and for the harvesting stage, the M23 homozygote resulted in >25% increase and decrease in SN/PnN and panicle number (PnN), respectively. These results demonstrate that the QTLs on chr. 1 primarily affect tillering, thereafter SN/PnN and PnN in opposite directions depending on the alleles present, while interacting with the environment. SN/PnN QTLs are further discussed with respect to their positional relations to PnN QTLs previously reported, thereby showing key QTLs for improving either trait without suppressing the other trait. The information on the QTL locations, effects and interactions with the environments would be helpful for genetic improvement of SN/PnN and ultimately for increasing rice yields over different locations. [Copyright &y& Elsevier]