Quantitative trait loci analysis for the developmental behavior of tiller number in rice (Oryza sativa L.)

• Published in: Theoretical and applied genetics Vol. 97; no. 1/2; pp. 267 - 274
• Main Authors: Yan, J.Q, Zhu, J, He, C.X, Benmoussa, M, Wu, P
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.07.1998; Berlin Springer Nature B.V
• Subjects: Biological and medical sciences; chromosome mapping; Classical genetics, quantitative genetics, hybrids; Development; Fundamental and applied biological sciences. Psychology; Gene expression; Genetic aspects; genetic variation; Genetics; Genetics of eukaryotes. Biological and molecular evolution; Genomics; Growth; haploidy; loci; Oryza sativa; Physiological aspects; plant development; Plant genetics; Plants; Pteridophyta, spermatophyta; Quantitative genetics; quantitative traits; Rice; temporal variation; tillers; Vegetals; China; Genetic mapping; Tillering; Oryza sativa; Monocotyledones; Gramineae; Quantitative character; Angiospermae; Development; Chromosome; Spermatophyta; Yield; Cereal crop
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/s001220050895

A doubled-haploid rice population of 123 lines from Azucena/IR64 was used for analyzing the developmental behavior of tiller number by conditional and unconditional QTL mapping methods. It was indicated that the number of QTLs significantly affecting tiller number was different at different measuring stages. Many QTLs controlling tiller growth identified at the early stages were undetectable at the final stage. Only one QTL could be detected across the whole growth period. By conditional QTL mapping, more QTLs for tiller number could be detected than that by unconditional mapping. The temporal patterns of gene expression for tiller number could be different at different stages. Even an individual gene or genes at the same genomic region might have opposite genetic effects at various growth stages.