In order to evaluate the effects of triploidy induction on a selected strain‘Haida No.2’of the Pacific oyster Crassostrea gigas,which is characterized with golden shell color and high growth rate,the growth,survival...In order to evaluate the effects of triploidy induction on a selected strain‘Haida No.2’of the Pacific oyster Crassostrea gigas,which is characterized with golden shell color and high growth rate,the growth,survival rate and stability of triploid rate were analyzed at different development stages in the present study.Three different conditions inhibiting the release of polar body Ⅱ or polar body Ⅰ were tested:(A)Cytochalasin-B(CB),0.5mg L^(−1) at 10min post-insemination for 15 min;(B)CB,0.5mg L^(−1)at 15 min postinsemination for 20 min;and(C)CB,0.7mg L^(−1),at 15 min post-insemination for 20 min.The triploidy induction treatments significantly reduced the D-larvae and survival rates at the larvae stage but not at the juvenile and adult stages.Triploid rate dramatically decreased at the larval stage and did not significantly change at the juvenile and adult stages.Regarding the stability of the triploid rate,there was a significant difference between the three treatment groups.Larvae from the treatment A and control groups exhibited higher growth rates in shell height than those from the other two treatment groups at day 27.Triploid juveniles and adults from the treatment A group exhibited a higher wet weight than diploids from the control group and triploids from the other treatment groups.Triploidy induction did not affect the shell color of the progeny.The results obtained in the study demonstrate that triploidy induction has the potential to be used to increase the production of C.gigas variety‘Haida No.2’without modifying its golden shell color.展开更多
This paper first introduced the silage fermentation technology,including the selection of strains and activation expansion technology,the screening of high-quality fermentation raw materials,and the comparative experi...This paper first introduced the silage fermentation technology,including the selection of strains and activation expansion technology,the screening of high-quality fermentation raw materials,and the comparative experiment of fermentation process.It discussed feeding methods for sows and growing-finishing pigs at different breeding stages.In addition,it analyzed the effects of fermented silage on the growth performance of local pigs at various stages.Finally,it is concluded that silage fermentation can improve the water retention performance of pork,improve the quality of pork from local pigs,increase economic benefits,and achieve the purpose of saving costs and increasing efficiency.展开更多
Introduction:Seasonal influenza poses a significant public health burden,causing substantial morbidity and mortality worldwide each year.In this context,timely and accurate vaccine strain selection is critical to miti...Introduction:Seasonal influenza poses a significant public health burden,causing substantial morbidity and mortality worldwide each year.In this context,timely and accurate vaccine strain selection is critical to mitigating the impact of influenza outbreaks.This article aims to develop an adaptive,universal,and convenient method for predicting antigenic variation in influenza A(H1N1),thereby providing a scientific basis to enhance the biannual influenza vaccine selection process.Methods:The study integrates adaptive Fourier decomposition(AFD)theory with multiple techniques—including matching pursuit,the maximum selection principle,and bootstrapping—to investigate the complex nonlinear interactions between amino acid substitutions in hemagglutinin(HA)proteins(the primary antigenic protein of influenza virus)and their impact on antigenic changes.Results:Through comparative analysis with classical methods such as Lasso,Ridge,and random forest,we demonstrate that the AFD-type method offers superior accuracy and computational efficiency in identifying antigenic change-associated amino acid substitutions,thus eliminating the need for timeconsuming and expensive experimental procedures.AAW Conclusion:In summary,AFD-based methods represent effective mathematical models for predicting antigenic variations based on HA sequences and serological data,functioning as ensemble algorithms with guaranteed convergence.Following the sequence of indicators specified in I,we perform a series of operations on A_(1),including feature extension,extraction,and rearrangement,to generate a new input dataset for the prediction step.With this newly prepared input,we can compute the predicted results as.展开更多
基金supported by the grants from the China Agriculture Research System Project(No.CARS-49)the Earmarked Fund for Agriculture Seed Improvement Project of Shandong Province(Nos.2020LZGC016,2021 LZGC027).
文摘In order to evaluate the effects of triploidy induction on a selected strain‘Haida No.2’of the Pacific oyster Crassostrea gigas,which is characterized with golden shell color and high growth rate,the growth,survival rate and stability of triploid rate were analyzed at different development stages in the present study.Three different conditions inhibiting the release of polar body Ⅱ or polar body Ⅰ were tested:(A)Cytochalasin-B(CB),0.5mg L^(−1) at 10min post-insemination for 15 min;(B)CB,0.5mg L^(−1)at 15 min postinsemination for 20 min;and(C)CB,0.7mg L^(−1),at 15 min post-insemination for 20 min.The triploidy induction treatments significantly reduced the D-larvae and survival rates at the larvae stage but not at the juvenile and adult stages.Triploid rate dramatically decreased at the larval stage and did not significantly change at the juvenile and adult stages.Regarding the stability of the triploid rate,there was a significant difference between the three treatment groups.Larvae from the treatment A and control groups exhibited higher growth rates in shell height than those from the other two treatment groups at day 27.Triploid juveniles and adults from the treatment A group exhibited a higher wet weight than diploids from the control group and triploids from the other treatment groups.Triploidy induction did not affect the shell color of the progeny.The results obtained in the study demonstrate that triploidy induction has the potential to be used to increase the production of C.gigas variety‘Haida No.2’without modifying its golden shell color.
文摘This paper first introduced the silage fermentation technology,including the selection of strains and activation expansion technology,the screening of high-quality fermentation raw materials,and the comparative experiment of fermentation process.It discussed feeding methods for sows and growing-finishing pigs at different breeding stages.In addition,it analyzed the effects of fermented silage on the growth performance of local pigs at various stages.Finally,it is concluded that silage fermentation can improve the water retention performance of pork,improve the quality of pork from local pigs,increase economic benefits,and achieve the purpose of saving costs and increasing efficiency.
基金Supported by Major Project of Guangzhou National Laboratory,(Grant No.GZNL2024A01004)the National Natural Science Foundation of China(Grant No.82361168672)+4 种基金the Science and Technology Development Fund of Macao SAR(Grant No.FDCT 0111/2023/AFJ,0155/2024/RIA2,005/2022/ALC,0128/2022/A,0020/2023/RIB1)National Key Research and Development Program of China(Grant No.2024YFE0214800)Self-supporting Program of Guangzhou Laboratory(Grant No.SRPG22-007)National Key Research and Development Program of China(Grant No.SQ2024YFE0202244)Engineering Technology Research(Development)Center of Ordinary Colleges and Universities in Guangdong Province(Grant No.2024GCZX010).
文摘Introduction:Seasonal influenza poses a significant public health burden,causing substantial morbidity and mortality worldwide each year.In this context,timely and accurate vaccine strain selection is critical to mitigating the impact of influenza outbreaks.This article aims to develop an adaptive,universal,and convenient method for predicting antigenic variation in influenza A(H1N1),thereby providing a scientific basis to enhance the biannual influenza vaccine selection process.Methods:The study integrates adaptive Fourier decomposition(AFD)theory with multiple techniques—including matching pursuit,the maximum selection principle,and bootstrapping—to investigate the complex nonlinear interactions between amino acid substitutions in hemagglutinin(HA)proteins(the primary antigenic protein of influenza virus)and their impact on antigenic changes.Results:Through comparative analysis with classical methods such as Lasso,Ridge,and random forest,we demonstrate that the AFD-type method offers superior accuracy and computational efficiency in identifying antigenic change-associated amino acid substitutions,thus eliminating the need for timeconsuming and expensive experimental procedures.AAW Conclusion:In summary,AFD-based methods represent effective mathematical models for predicting antigenic variations based on HA sequences and serological data,functioning as ensemble algorithms with guaranteed convergence.Following the sequence of indicators specified in I,we perform a series of operations on A_(1),including feature extension,extraction,and rearrangement,to generate a new input dataset for the prediction step.With this newly prepared input,we can compute the predicted results as.
