Rice varieties tolerant to submergence regulate shoot elongation during short-term submergence by expressing the SUB1A gene.In contrast,the deep-rooted DRO1 is effectively expressed under drought conditions to enhance...Rice varieties tolerant to submergence regulate shoot elongation during short-term submergence by expressing the SUB1A gene.In contrast,the deep-rooted DRO1 is effectively expressed under drought conditions to enhance water and nutrient uptake.This study investigates the growth and yield of rice with both SUB1A and DRO1 in the background of IR64,under early-season flooding,and mid-season drought.The study used a randomized complete design with two factors:soil moisture treatments(submergence,drought,and their combination)and genotypes.The genotypes included IR64,and three near-isogenic lines(NILs):NIL-SUB1DRO1,NIL-SUB1,and NIL-DRO1.Complete submergence was imposed for 7 days on 14-day-old seedlings,while drought was imposed on control and submerged plants following a 21-day recovery period from submergence,using 42-day-old plants.Variables were measured before and after treatments(submergence and drought),and at harvest or grain maturity.The stresses negatively affected the genotypes.At harvest,IR64 and NIL-SUB1DRO1 under both stresses showed a significant reduction in tiller numbers,shoot dry weights,and yields compared to their control plants.IR64 exhibited a significant delay in reaching flowering under all stresses.The rice introgression lines showed significant improvements in tolerance to the stresses.The study showed no negative consequences of combining drought and submergence tolerance in rice.展开更多
Addressing climate change and facilitating the large-scale integration of renewable energy sources(RESs)have driven the development of hydrogen-coupled integrated energy systems(HIES),which enhance energy sustainabili...Addressing climate change and facilitating the large-scale integration of renewable energy sources(RESs)have driven the development of hydrogen-coupled integrated energy systems(HIES),which enhance energy sustainability through coordinated electricity,thermal,natural gas,and hydrogen utilization.This study proposes a two-stage distributionally robust optimization(DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES.The framework incorporates a ladder-type carbon trading mechanism to regulate emissions and implements a demand response(DR)program to adjustflexible multi-energy loads,thereby prioritizing RES consumption.Uncertainties from RES generation and load demand are addressed through an ambiguity set,enabling robust decision-making.The column-and-constraint generation(C&CG)algorithm efficiently solves the two-stage DRO model.Case studies demonstrate that the proposed method reduces operational costs by 3.56%,increases photovoltaic consumption rates by 5.44%,and significantly lowers carbon emissions compared to conventional approaches.Furthermore,the DRO framework achieves a superior balance between conservativeness and robustness over conventional stochastic and robust optimization methods,highlighting its potential to advance cost-effective,low-carbon energy systems while ensuring grid stability under uncertainty.展开更多
Deeper rooting 1(Dro1)and Deeper rooting 2(Dro2)are the QTLs that contribute considerably to root growth angle assisting in deeper rooting of rice plant.In the present study,a set of 348 genotypes were shortlisted fro...Deeper rooting 1(Dro1)and Deeper rooting 2(Dro2)are the QTLs that contribute considerably to root growth angle assisting in deeper rooting of rice plant.In the present study,a set of 348 genotypes were shortlisted from rice germplasm based on root angle study.Screening results of the germplasm lines under drought stress identified 25 drought tolerant donor lines based on leaf rolling,leaf drying,spikelet fertility and single plant yield.A panel containing 101 genotypes was constituted based on screening results and genotyped using Dro1 and Dro2 markers.Structure software categorized the genotypes into four sub-populations with different fixation index values for root growth angle.The clustering analysis and principal coordinate analysis could differentiate the genotypes with or without deeper rooting trait.The dendrogram constructed based on the molecular screening for deep rooting QTLs showed clear distinction between the rainfed upland cultivars and irrigated genotypes.Eleven genotypes,namely Dular,Tepiboro,Surjamukhi,Bamawpyan,N22,Dinorado,Karni,Kusuma,Bowdel,Lalsankari and Laxmikajal,possessed both the QTLs,whereas 67 genotypes possessed only Dro1.The average angle of Dro positive genotypes ranged from 82.7°to 89.7°.These genotypes possessing the deeper rooting QTLs can be taken as donor lines to be used in marker-assisted breeding programs.展开更多
文摘Rice varieties tolerant to submergence regulate shoot elongation during short-term submergence by expressing the SUB1A gene.In contrast,the deep-rooted DRO1 is effectively expressed under drought conditions to enhance water and nutrient uptake.This study investigates the growth and yield of rice with both SUB1A and DRO1 in the background of IR64,under early-season flooding,and mid-season drought.The study used a randomized complete design with two factors:soil moisture treatments(submergence,drought,and their combination)and genotypes.The genotypes included IR64,and three near-isogenic lines(NILs):NIL-SUB1DRO1,NIL-SUB1,and NIL-DRO1.Complete submergence was imposed for 7 days on 14-day-old seedlings,while drought was imposed on control and submerged plants following a 21-day recovery period from submergence,using 42-day-old plants.Variables were measured before and after treatments(submergence and drought),and at harvest or grain maturity.The stresses negatively affected the genotypes.At harvest,IR64 and NIL-SUB1DRO1 under both stresses showed a significant reduction in tiller numbers,shoot dry weights,and yields compared to their control plants.IR64 exhibited a significant delay in reaching flowering under all stresses.The rice introgression lines showed significant improvements in tolerance to the stresses.The study showed no negative consequences of combining drought and submergence tolerance in rice.
基金supported by National Key Research and Development Program(2024YFE0115600).
文摘Addressing climate change and facilitating the large-scale integration of renewable energy sources(RESs)have driven the development of hydrogen-coupled integrated energy systems(HIES),which enhance energy sustainability through coordinated electricity,thermal,natural gas,and hydrogen utilization.This study proposes a two-stage distributionally robust optimization(DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES.The framework incorporates a ladder-type carbon trading mechanism to regulate emissions and implements a demand response(DR)program to adjustflexible multi-energy loads,thereby prioritizing RES consumption.Uncertainties from RES generation and load demand are addressed through an ambiguity set,enabling robust decision-making.The column-and-constraint generation(C&CG)algorithm efficiently solves the two-stage DRO model.Case studies demonstrate that the proposed method reduces operational costs by 3.56%,increases photovoltaic consumption rates by 5.44%,and significantly lowers carbon emissions compared to conventional approaches.Furthermore,the DRO framework achieves a superior balance between conservativeness and robustness over conventional stochastic and robust optimization methods,highlighting its potential to advance cost-effective,low-carbon energy systems while ensuring grid stability under uncertainty.
基金Department of Science and Technology, Govt. of India for providing financial support.
文摘Deeper rooting 1(Dro1)and Deeper rooting 2(Dro2)are the QTLs that contribute considerably to root growth angle assisting in deeper rooting of rice plant.In the present study,a set of 348 genotypes were shortlisted from rice germplasm based on root angle study.Screening results of the germplasm lines under drought stress identified 25 drought tolerant donor lines based on leaf rolling,leaf drying,spikelet fertility and single plant yield.A panel containing 101 genotypes was constituted based on screening results and genotyped using Dro1 and Dro2 markers.Structure software categorized the genotypes into four sub-populations with different fixation index values for root growth angle.The clustering analysis and principal coordinate analysis could differentiate the genotypes with or without deeper rooting trait.The dendrogram constructed based on the molecular screening for deep rooting QTLs showed clear distinction between the rainfed upland cultivars and irrigated genotypes.Eleven genotypes,namely Dular,Tepiboro,Surjamukhi,Bamawpyan,N22,Dinorado,Karni,Kusuma,Bowdel,Lalsankari and Laxmikajal,possessed both the QTLs,whereas 67 genotypes possessed only Dro1.The average angle of Dro positive genotypes ranged from 82.7°to 89.7°.These genotypes possessing the deeper rooting QTLs can be taken as donor lines to be used in marker-assisted breeding programs.
