Acoustic Doppler current profiler observations were carried out at two stations along a transect northwest of the Karimata Strait from December 2007 to November 2008. One month and 10 months of full‐depth current data were obtained at the western and eastern stations, respectively. The observations show that the South China Sea (SCS) water flows persistently to the Indonesian seas (ISs) in boreal winter. On the basis of current, temperature, and salinity observations by conductivity‐temperature‐depth casts and bottom‐mounted sensors, the volume, heat, and freshwater transport from the SCS to ISs in the month from 13 January to 12 February 2008 are estimated to be 3.6 ± 0.8 Sv (Sv = 106 m3/s), 0.36 ± 0.08 PW, and 0.14 ± 0.04 Sv, respectively. The corresponding transport‐weighted temperature is 27.99°C. A downward sea surface slope from north to south at the study area in boreal winter is also found. The observations confirm the existence of the SCS branch of the Pacific‐to‐Indian‐Ocean throughflow in boreal winter and the reversal of the Karimata Strait transport in boreal summer. The seasonal variability in the Karimata Strait transport can exceed 5 Sv. It is proposed that the Karimata Strait throughflow plays a double role in the total Indonesian Throughflow transport, which is especially evident in boreal winter. The negative effect of the double role is reducing the Makassar Strait volume and heat transports; the positive effect is that the Karimata Strait throughflow itself can contribute volume and heat transports to the total Indonesian Throughflow.

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Increasing grain yield is the ultimate goal for maize breeding. High resolution quantitative trait loci (QTL) mapping can help us understand the molecular basis of phenotypic variation of yield and thus facilitate marker assisted breeding. The aim of this study is to use genotyping-by-sequencing (GBS) for large-scale SNP discovery and simultaneous genotyping of all F2 individuals from a cross between two varieties of maize that are in clear contrast in yield and related traits. A set of 199 F2 progeny derived from the cross of varieties SG-5 and SG-7 were generated and genotyped by GBS. A total of 1,046,524,604 reads with an average of 5,258,918 reads per F2 individual were generated. This number of reads represents an approximately 0.36-fold coverage of the maize reference genome Zea_mays.AGPv3.29 for each F2 individual. A total of 68,882 raw SNPs were discovered in the F2 population, which, after stringent filtering, led to a total of 29,927 high quality SNPs. Comparative analysis using these physically mapped marker loci revealed a higher degree of synteny with the reference genome. The SNP genotype data were utilized to construct an intra-specific genetic linkage map of maize consisting of 3,305 bins on 10 linkage groups spanning 2,236.66 cM at an average distance of 0.68 cM between consecutive markers. From this map, we identified 28 QTLs associated with yield traits (100-kernel weight, ear length, ear diameter, cob diameter, kernel row number, corn grains per row, ear weight, and grain weight per plant) using the composite interval mapping (CIM) method and 29 QTLs using the least absolute shrinkage selection operator (LASSO) method. QTLs identified by the CIM method account for 6.4% to 19.7% of the phenotypic variation. Small intervals of three QTLs (qCGR-1, qKW-2, and qGWP-4) contain several genes, including one gene (GRMZM2G139872) encoding the F-box protein, three genes (GRMZM2G180811, GRMZM5G828139, and GRMZM5G873194) encoding the WD40-repeat protein, and one gene (GRMZM2G019183) encoding the UDP-Glycosyltransferase. The work will not only help to understand the mechanisms that control yield traits of maize, but also provide a basis for marker-assisted selection and map-based cloning in further studies.

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