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
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Advances in plant molecular techniques have dramatically widened the applicability of gene identification and pyramiding valuable genes. This study was carried out to pyramid five resistance genes for biotic stress into the
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A recombinant inbred line (RIL) population derived from the cross between Ilpumbyeo (a
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A set of five Korean rice cultivars and seven drought-tolerant indica lines were screened under irrigated non-stress and drought-stressed conditions in the 2011 and 2012 dry seasons at IRRI, Philippines. The drought-stressed experiment received mild to moderate stress. Under drought stress, ‘IR86918-B-439-B’ had the highest grain yield among all tested lines and ‘Hanarembyeo’ had the highest grain yield among the five Korean rice cultivars. ‘IR86918-B-439-B’ also had the highest yield under irrigated non-stress conditions. The grain yield of ‘Hanareumbyeo’ was similar to ‘IR86918-B-439-B’ under non-stress conditions. SSR marker analysis was performed using 125 SSR markers for detection of polymorphic markers between the Korean rice cultivars and the drought-tolerant indica lines, and for genetic diversity analysis. Twelve polymorphic markers were identified in the region of three major drought QTLs (DTY1.1, DTY2.2, DTY3.1) in two of the Korean rice cultivars and three of the drought-tolerant lines. These polymorphic markers will be useful as foreground genotyping markers for drought-QTL introgression in Korean rice genetic backgrounds.
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Eating and cooking qualities are the most important trait in
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A total of 23 elite rice cultivars from eight countries were evaluated for cold tolerance using two screening methods at Chuncheon Substation, National Institute of Crop Science (NICS), Republic of Korea. The rice cultivars Jinbu, Mustaqillik, and Avangard showed cold tolerance and high spikelet fertility (63–79%) in cold-water irrigation screening. Under greenhouse screening, five cultivars (Giza 177, Avangard, Mustaqillik, Jinbu, and Jungan) showed high cold tolerance and high spikelet fertility (71–81%). Simple sequence repeat (SSR) marker analysis of 21 genotypes revealed two major clusters, the
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