Pre-harvest sprouting is a major physiological problem in rice caused by prolonged rainfall and high humidity during the harvest period, and it is one of the most important targets in current rice breeding programs. In this study, the effect of cold and freezing storage on the pre-harvest sprouting rate was investigated using ten rice varieties under four different treatments. The result showed storage treatments of panicle samples used for germinate evaluation had no significant influence on the pre-harvest sprouting rate. These findings may enhance the efficiency of mass screening for pre-harvest sprouting and support the development of tolerant rice varieties.
Quantitative trait locus (QTL) analysis is a powerful approach for identifying variants associated with the phenotypic variation of complex traits. However, selecting optimal methods and pre-processing steps require considerable time and effort. In this study, we demonstrated applicability and replicability of machine learning (ML) models in QTL analysis by evaluating their performance in comparison with conventional QTL analysis methods using 142 recombinant inbred lines derived from two
Citations
Miniature transposable elements (mTEs) such as miniature inverted-repeat transposable element (MITE), terminal repeat retrotransposon in miniature, and short interspersed element are exquisite sources for marker development. mTEs are short, non-autonomous and stably inherited. The high-copy members are widely distributed into the gene rich euchromatic regions. Here, we conducted a modified transposon display (TD) for a high-copy MITE family, BraSto-2 (Bs2). The Bs2-specific primers derived from conserved sequences of Bs2 members as well as
Citations