The development of a core set of SNP molecular markers that could be widely used in soybean genetic research would greatly facilitate research into the genetic diversity of soybean.We conducted an analysis of Tokachi ...The development of a core set of SNP molecular markers that could be widely used in soybean genetic research would greatly facilitate research into the genetic diversity of soybean.We conducted an analysis of Tokachi nagaha and 137 of its descendant soybean cultivars using 4044 SNP markers with the goal of determining the appropriate number of single-nucleotide polymorphisms(SNPs)needed to construct unambiguous molecular IDs and characterize genetic diversity based on a genetic distance matrix correlation method.When the number of SNPs was held constant,the number of accession pairs that could be distinguished increased as the polymorphism informative content(PIC)value of the SNPs increased.A core panel of 20 selected SNPs from 11 linkage groups with a mean PIC value of 0.3703 and a range of 0.3640–0.3749 was able to identify almost all of the accession pairs in our study[9445 pairs(99.92%)].The eight accession pairs that could not be identified with this core SNP set all originated from the same province and some of them had the same parental cultivars.The molecular IDs of the 138 accessions were constructed using the core 20 SNPs.It is known that both the number of SNPs and PIC values should be considered when SNPs are selected for use in the analysis of genetic diversity.In this study,when the PIC value was 0.3460,the correlation coefficient between the genetic distance matrices associated with a panel of 200 SNPs and the total population was>0.800,indicating satisfactory correlation.Our high-accuracy,high-resolution core SNP panel for germplasm fingerprinting and our findings about assessing genetic diversity will likely markedly improve the management and utilization efficiency of soybean germplasm resources.展开更多
New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles.The new energy engine cooling technology is critical in the design of new energy vehicles.This paper us...New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles.The new energy engine cooling technology is critical in the design of new energy vehicles.This paper used oneand three-way joint simulation methods to simulate the refrigeration system of new energy vehicles.Firstly,a k-εturbulent flow model for the cooling pump flow field is established based on the principle of computational fluid dynamics.Then,the CFD commercial fluid analysis software FLUENT is used to simulate the flow field of the cooling pump under different inlet flow conditions.This paper proposes an optimization scheme for new energy vehicle engines’“boiling”phenomenon under high temperatures and long-time climbing conditions.The simulation results show that changing the radiator’s structure and adjusting the thermostat’s parameters can solve the problem of a“boiling pot.”The optimized new energy vehicle engine can maintain a better operating temperature range.The algorithm model can reference each cryogenic system component hardware selection and control strategy in the new energy vehicle’s engine.展开更多
基金supported by the Development of Novel Elite Soybean Cultivars and Lines with High Oil Content (No. Z161100000916005-06)the Crop Germplasm Resources Protection Program (Nos. 2014NWB030, 2015NWB030-05)+2 种基金the Platform of National Crop Germplasm Resources of China (Nos. 2014-004, 2015-004)the National Key Technology R&D Program (No. 2011BAD35B06-2-9)the Agricultural Science and Technology Innovation Program (ASTIP) of CAAS
文摘The development of a core set of SNP molecular markers that could be widely used in soybean genetic research would greatly facilitate research into the genetic diversity of soybean.We conducted an analysis of Tokachi nagaha and 137 of its descendant soybean cultivars using 4044 SNP markers with the goal of determining the appropriate number of single-nucleotide polymorphisms(SNPs)needed to construct unambiguous molecular IDs and characterize genetic diversity based on a genetic distance matrix correlation method.When the number of SNPs was held constant,the number of accession pairs that could be distinguished increased as the polymorphism informative content(PIC)value of the SNPs increased.A core panel of 20 selected SNPs from 11 linkage groups with a mean PIC value of 0.3703 and a range of 0.3640–0.3749 was able to identify almost all of the accession pairs in our study[9445 pairs(99.92%)].The eight accession pairs that could not be identified with this core SNP set all originated from the same province and some of them had the same parental cultivars.The molecular IDs of the 138 accessions were constructed using the core 20 SNPs.It is known that both the number of SNPs and PIC values should be considered when SNPs are selected for use in the analysis of genetic diversity.In this study,when the PIC value was 0.3460,the correlation coefficient between the genetic distance matrices associated with a panel of 200 SNPs and the total population was>0.800,indicating satisfactory correlation.Our high-accuracy,high-resolution core SNP panel for germplasm fingerprinting and our findings about assessing genetic diversity will likely markedly improve the management and utilization efficiency of soybean germplasm resources.
文摘New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles.The new energy engine cooling technology is critical in the design of new energy vehicles.This paper used oneand three-way joint simulation methods to simulate the refrigeration system of new energy vehicles.Firstly,a k-εturbulent flow model for the cooling pump flow field is established based on the principle of computational fluid dynamics.Then,the CFD commercial fluid analysis software FLUENT is used to simulate the flow field of the cooling pump under different inlet flow conditions.This paper proposes an optimization scheme for new energy vehicle engines’“boiling”phenomenon under high temperatures and long-time climbing conditions.The simulation results show that changing the radiator’s structure and adjusting the thermostat’s parameters can solve the problem of a“boiling pot.”The optimized new energy vehicle engine can maintain a better operating temperature range.The algorithm model can reference each cryogenic system component hardware selection and control strategy in the new energy vehicle’s engine.
