Maize(Zea mays L.) stands prominently as one of the major cereal crops in China as well as in the rest of the world.Therefore,predicting the growth and yield of maize for large areas through yield components under hig...Maize(Zea mays L.) stands prominently as one of the major cereal crops in China as well as in the rest of the world.Therefore,predicting the growth and yield of maize for large areas through yield components under high-yielding environments will help in understanding the process of yield formation and yield potential under different environmental conditions.This accurate early assessment of yield requires accuracy in the formation process of yield components as well.In order to formulate the quantitative design for high yields of maize in China,yield performance parameters of quantitative design for high grain yields were evaluated in this study,by utilizing the yield performance equation with normalization of planting density.Planting density was evaluated by parameters including the maximum leaf area index and the maximum leaf area per plant.Results showed that the variation of the maximum leaf area per plant with varying plant density conformed to the Reciprocal Model,which proved to have excellent prediction with root mean square error(RMSE) value of 5.95%.Yield model estimation depicted that the best optimal maximum leaf area per plant was 0.63 times the potential maximum leaf area per plant of hybrids.Yield performance parameters for different yield levels were quantitatively designed based on the yield performance equation.Through validation of the yield performance model by simulating high yields of spring maize in the Inner Mongolia Autonomous Region and Jilin Province,China,and summer maize in Shandong Province,the yield performance equation showed excellent prediction with the satisfactory mean RMSE value(7.72%) of all the parameters.The present study provides theoretical support for the formulation of quantitative design for sustainable high yield of maize in China,through consideration of planting density normalization in the yield prediction process,providing there is no water and nutrient limitation.展开更多
Due to continuous increases in the global population and the limited availability of arable land resources,issues related to food security have attracted increasing attention.Maize is the most productive and most wide...Due to continuous increases in the global population and the limited availability of arable land resources,issues related to food security have attracted increasing attention.Maize is the most productive and most widely planted food crop in China and has the highest yield potential among different crops.Increasing the yield of maize per unit area has become one of the key goals in agriculture in China.This study summarized the key limiting factors,such as solar radiation,temperature,water,soil resources and extreme weather events that currently limit the yield and resource use efficiency of maize production,as well as the main problems existing in the process of maize production,such as unsuitable cultivar selection,low planting density and inappropriate fertilizer application.Then the maize population was optimized on the basis of quantitative design principles.By this approach,crop planting density was matched with solar radiation levels,the population structure was matched with appropriate cultivars,and the plow layer-root system-canopy functions were matched with grain yield to ensure increases in grain yield and resource use efficiency in maize production.These factors can significantly improve maize production and related economic benefits,reduce production costs and environmental burdens,and provide a scientific basis and technical support for realizing sustainable agricultural development in China.展开更多
The cis-acting regulatory elements, e.g., promoters and ribosome binding sites （RBSs） with various desired properties, are building blocks widely used in synthetic biology for fine tuning gene expression. In the las...The cis-acting regulatory elements, e.g., promoters and ribosome binding sites （RBSs） with various desired properties, are building blocks widely used in synthetic biology for fine tuning gene expression. In the last decade, acquisition of a controllable regulatory element from a random library has been established and applied to control the protein expression and metabolic flux in different chassis cells. However, more rational strategies are still urgently needed to improve the efficiency and reduce the laborious screening and multifaceted characterizations. Building precise computational models that can predict the activity of regulatory elements and quantitatively design elements with desired strength have been demonstrated tremendous potentiality. Here, recent progress on construction of cis- acting regulatory element library and the quantitative predicting models for design of such elements are reviewed and discussed in detail.展开更多
Elastomeric membranes are frequently used in several emerging fields such as soft robotics and flexible electronics.For convenience of the structural design,it is very attractive to find simple analytical solutions to...Elastomeric membranes are frequently used in several emerging fields such as soft robotics and flexible electronics.For convenience of the structural design,it is very attractive to find simple analytical solutions to well describe their elastic deformations in response to external loadings.However,both the material/geometrical nonlinearity and the deformation inhomogeneity due to boundary constraints make it much challenging to get an exact analytical solution.In this paper,we focus on the inflation of a prestretched elastomeric circular membrane under uniform pressure,and derive an approximate analytical solution of the pressure-volume curve based upon a reasonable assumption on the shape of the inflated membrane.Such an explicit expression enables us to quantitatively design the material and geometrical parameters of the pre-stretched membrane to generate a target pressure-volume curve with prescribed peak point and initial slope.This work would be of help in the simplified mechanical design of structures involving elastomeric membranes.展开更多
基金supported by the National Key Research and Development Program of China(2018YFD020060 and 2017YFD0301307)the National Natural Science Foundation of China(31971851)the earmarked fund for China Agriculture Research System(CARS-02-12)
文摘Maize(Zea mays L.) stands prominently as one of the major cereal crops in China as well as in the rest of the world.Therefore,predicting the growth and yield of maize for large areas through yield components under high-yielding environments will help in understanding the process of yield formation and yield potential under different environmental conditions.This accurate early assessment of yield requires accuracy in the formation process of yield components as well.In order to formulate the quantitative design for high yields of maize in China,yield performance parameters of quantitative design for high grain yields were evaluated in this study,by utilizing the yield performance equation with normalization of planting density.Planting density was evaluated by parameters including the maximum leaf area index and the maximum leaf area per plant.Results showed that the variation of the maximum leaf area per plant with varying plant density conformed to the Reciprocal Model,which proved to have excellent prediction with root mean square error(RMSE) value of 5.95%.Yield model estimation depicted that the best optimal maximum leaf area per plant was 0.63 times the potential maximum leaf area per plant of hybrids.Yield performance parameters for different yield levels were quantitatively designed based on the yield performance equation.Through validation of the yield performance model by simulating high yields of spring maize in the Inner Mongolia Autonomous Region and Jilin Province,China,and summer maize in Shandong Province,the yield performance equation showed excellent prediction with the satisfactory mean RMSE value(7.72%) of all the parameters.The present study provides theoretical support for the formulation of quantitative design for sustainable high yield of maize in China,through consideration of planting density normalization in the yield prediction process,providing there is no water and nutrient limitation.
基金supported by National Key R&D Program of China(2023YFD2301703,2023YFD1900603)Central Public-interest Scientific Institution Basal Research Fund(CAAS-ZDRW202418)+1 种基金Agricultural Science and Technology Innovation Program(CAASZDRW202004)Talent project of key laboratory for crop improvement and regulation in North China(NCCIR2023RC-4).
文摘Due to continuous increases in the global population and the limited availability of arable land resources,issues related to food security have attracted increasing attention.Maize is the most productive and most widely planted food crop in China and has the highest yield potential among different crops.Increasing the yield of maize per unit area has become one of the key goals in agriculture in China.This study summarized the key limiting factors,such as solar radiation,temperature,water,soil resources and extreme weather events that currently limit the yield and resource use efficiency of maize production,as well as the main problems existing in the process of maize production,such as unsuitable cultivar selection,low planting density and inappropriate fertilizer application.Then the maize population was optimized on the basis of quantitative design principles.By this approach,crop planting density was matched with solar radiation levels,the population structure was matched with appropriate cultivars,and the plow layer-root system-canopy functions were matched with grain yield to ensure increases in grain yield and resource use efficiency in maize production.These factors can significantly improve maize production and related economic benefits,reduce production costs and environmental burdens,and provide a scientific basis and technical support for realizing sustainable agricultural development in China.
基金This work was supported by the National Basic Research Program of China （973 Program, grant No. 2012CB721104）, the National High Technology Research and Development Program （863 Program, grant No. 2012AA02A701）, the National Natural Science Foundation of China （grant Nos. 31170101 and 31301017）, and the Natural Science Foundation of Guangdong Province, China （grant No. 2015A030310317）.
文摘The cis-acting regulatory elements, e.g., promoters and ribosome binding sites （RBSs） with various desired properties, are building blocks widely used in synthetic biology for fine tuning gene expression. In the last decade, acquisition of a controllable regulatory element from a random library has been established and applied to control the protein expression and metabolic flux in different chassis cells. However, more rational strategies are still urgently needed to improve the efficiency and reduce the laborious screening and multifaceted characterizations. Building precise computational models that can predict the activity of regulatory elements and quantitatively design elements with desired strength have been demonstrated tremendous potentiality. Here, recent progress on construction of cis- acting regulatory element library and the quantitative predicting models for design of such elements are reviewed and discussed in detail.
基金Supports from the National Natural Science Foundation of China (Grants 11772272 and 11972027)the support from the Fundamental Research Funds for the Central Universities (Grants 2682019LK06 and 2682019LXCGKY001)
文摘Elastomeric membranes are frequently used in several emerging fields such as soft robotics and flexible electronics.For convenience of the structural design,it is very attractive to find simple analytical solutions to well describe their elastic deformations in response to external loadings.However,both the material/geometrical nonlinearity and the deformation inhomogeneity due to boundary constraints make it much challenging to get an exact analytical solution.In this paper,we focus on the inflation of a prestretched elastomeric circular membrane under uniform pressure,and derive an approximate analytical solution of the pressure-volume curve based upon a reasonable assumption on the shape of the inflated membrane.Such an explicit expression enables us to quantitatively design the material and geometrical parameters of the pre-stretched membrane to generate a target pressure-volume curve with prescribed peak point and initial slope.This work would be of help in the simplified mechanical design of structures involving elastomeric membranes.
