The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and po...The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and potassium(112.6 kg/ha),under neutral pH conditions(pH 7.4).The chickpea variety PG-186 was used to evaluate the impact of nutrient treatments on plant performance and agroecological outcomes.Experimental findings demonstrated a significant influence of various treatments on the growth,yield,and economic returns of chickpea cultivation.The treatment comprising 100%Recommended Dose of Fertilizers(RDF)along with foliar application of 0.6%ZnSO_(4) and 0.9%FeSO_(4) at pre-flowering and pod development stages(T8)resulted in the maximum plant height(15.5 cm,33.7 cm,45.0 cm),dry matter accumulation(27.5 g,245.2 g,1006.7 g/m^(2)),and number of branches per plant(3.47,5.00,and 8.63)at 45,75,and 105 Days After Sowing(DAS),respectively.This treatment also resulted in the highest grain yield(21.00 q/ha)and stover yield(38.67 q/ha),along with a maximum net return of₹95,392/ha and a benefit-to-cost ratio of 2.32.From an ecological standpoint,this study highlights the vital role of balanced and targeted nutrient management in enhancing agroecosystem productivity while maintaining ecological balance.The integration of micronutrient foliar sprays not only boosts nutrient uptake efficiency and plant health but also reduces dependency on excessive chemical fertilizers,thereby mitigating potential negative impacts on soil ecology.Overall,the findings underscore the ecological importance of optimizing nutrient inputs in legume-based cropping systems to foster sustainable agricultural practices that align with ecological resilience,soil health preservation,and environmental stewardship.展开更多
The current investigation focuses on intertwined relationships of ecology and aquaculture for the benefit of farmers involved in fish farming practices.The study evaluated glucosinolate reduction in black,brown,and wh...The current investigation focuses on intertwined relationships of ecology and aquaculture for the benefit of farmers involved in fish farming practices.The study evaluated glucosinolate reduction in black,brown,and white mustard meals as fish feed ingredients for Indian Major Carps.Fish were fed with 10%mustard meal-supplemented diets in three forms:Raw(R),Anti-nutritional Rich(AR),and Anti-nutritional Lowered(AL),alongside a control group using floating feed.The three-month indoor experiment(September-November 2023)was conducted in FRP tanks with triplicate treatments.Blood analysis revealed compromised health in AR-fed carps,with reduced hemoglobin levels in rohu,catla and mrigal and elevated total leukocyte counts indicating inflammation in all the three carps studied here.Liver function was impaired in AR-fed fish,shown by increased alanine transaminase levels,highest in rohu followed by mrigal and catla.Histopathological examination of AR-fed carps liver tissue revealed necrotic spots,deformed hepatocytes,and significant vacuolation.In contrast,AL-fed fish demonstrated improved health parameters through Complete Blood Count analysis,liver function tests,and histo-pathological observations,suggesting successful reduction of anti-nutritional factors in the processed mustard meals.In near future,replacement of unprocessed seed meal with processed seed meal will lead to economic gains in fish farming.展开更多
This present study identifies endophytic bacteria from Linum usitatissimum with multidimensional plant growth-promoting attributes,positioning them as ecological engineers for sustainable agriculture.Plant growthpromo...This present study identifies endophytic bacteria from Linum usitatissimum with multidimensional plant growth-promoting attributes,positioning them as ecological engineers for sustainable agriculture.Plant growthpromoting bacteria(PGPB)are present in symbiotic associations with plants or rhizosphere.These microbes enhance crop productivity and resilience under different environmental conditions.Endophytes are a type of PGPB that inhabit inside plant tissues and contribute to plant growth by phytohormone production,phosphate solubilisation,zinc solubilisation,siderophore production,ammonia production,nitrogen fixation,stress tolerance,and biocontrol mechanisms.Twelve bacterial strains were isolated from Linum usitatissimum exhibiting plant growth-promoting attributes such as ammonia and indole-3-acetic acid(IAA)production,siderophore synthesis,phosphate solubilisation,and extracellular enzyme synthesis.The isolated endophytes were also assessed for different enzymatic activities such as;cellulase,pectinase,xylanase,amylase,and gelatinase,which contribute to development of a symbiotic relationship and are crucial for the degradation of plant cell wall components The most efficient endophytes identified in the present study were Pseudomonas sp.strain JL-1(ESL1)and Staphylococcus sciuri(ESL2),both of which displayed strong plant growth-promoting potential.ESL1 and ESL2 demonstrated promising plant growth-promoting characteristics and cellulase,pectinase,xylanase,amylase,and gelatinase,activity.ESL2(Staphylococcus sciuri)enhanced nutrient cycling(phosphate solubilisation:196-209μg/ml;siderophores:68-71%)and stress tolerance(IAA:11-12μg/ml),reducing reliance on synthetic inputs.By integrating flax microbiomes into agro-ecosystems,we demonstrate a scalable approach to reconcile crop productivity with soil biodiversity conservation.These results demonstrate the potentiality of these endophytic microbes in sustainable agriculture,environmental management,and microbial biotechnology.Further studies on their metabolic pathways may expand their applications in bioremediation and plant-microbe interactions.展开更多
We have studied periodic orbits generated by Lagrangian solutions of the restricted three-body problem when both the primaries are triaxial rigid bodies and source of radiation pressure. We have determined periodic or...We have studied periodic orbits generated by Lagrangian solutions of the restricted three-body problem when both the primaries are triaxial rigid bodies and source of radiation pressure. We have determined periodic orbits for different values of (h is energy constant;μ is mass ratio of the two primaries;are parameters of triaxial rigid bodies and are radiation parameters). These orbits have been determined by giving displacements along the tangent and normal at the mobile co-ordinates as defined in our papers (Mittal et al. [1]-[3]). These orbits have been drawn by using the predictor-corrector method. We have also studied the effect of triaxial bodies and source of radiation pressure on the periodic orbits by taking fixed value of μ.展开更多
This paper studies the existence and stability of the artificial equilibrium points (AEPs) in the low-thrust restricted three-body problem when both the primaries are oblate spheroids. The artificial equilibrium point...This paper studies the existence and stability of the artificial equilibrium points (AEPs) in the low-thrust restricted three-body problem when both the primaries are oblate spheroids. The artificial equilibrium points (AEPs) are generated by canceling the gravitational and centrifugal forces with continuous low-thrust at a non-equilibrium point. Some graphical investigations are shown for the effects of the relative parameters which characterized the locations of the AEPs. Also, the numerical values of AEPs have been calculated. The positions of these AEPs will depend not only also on magnitude and directions of low-thrust acceleration. The linear stability of the AEPs has been investigated. We have determined the stability regions in the xy, xz and yz-planes and studied the effect of oblateness parameters A1(0A1?and ?A2(0A2<1) on the motion of the spacecraft. We have found that the stability regions reduce around both the primaries for the increasing values of oblateness of the primaries. Finally, we have plotted the zero velocity curves to determine the possible regions of motion of the spacecraft.展开更多
Virtual screening(VS)has become an essential computational tool in drug discovery that helps to identify bioactive compounds by predicting their interactions with biological targets.This approach,which includes both l...Virtual screening(VS)has become an essential computational tool in drug discovery that helps to identify bioactive compounds by predicting their interactions with biological targets.This approach,which includes both ligand-based and structure-based methods,aims to discriminate between active and inactive molecules to facilitate the identification of potential therapeutic agents.Despite important advances,challenges remain in accurately predicting ligand-receptor interactions,managing large chemical libraries,and increasing hit identification efficiency.These limitations,coupled with assumptions made by computational tools and data-driven errors,underscore the need for improved techniques to increase prediction precision and reduce false positives.This study employed advanced computational tools for VS,focusing primarily on molecular docking and ligand-protein interaction analysis.AutoDock,known for its Lamarckian genetic algorithm,was used for docking simulations,incorporating pharmacy grids to assess ligand-binding affinities.Additionally,CHARMM software was applied for molecular dynamics simulations to calculate empirical energy functions.AI-driven algorithms such as KarmaDock and DeepDock were utilized for large-scale ligand screening and for improving protein-ligand docking accuracy.Machine learning-based scoring systems and quantitative structure-activity relationship(QSAR)models improved binding affinity predictions.展开更多
文摘The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and potassium(112.6 kg/ha),under neutral pH conditions(pH 7.4).The chickpea variety PG-186 was used to evaluate the impact of nutrient treatments on plant performance and agroecological outcomes.Experimental findings demonstrated a significant influence of various treatments on the growth,yield,and economic returns of chickpea cultivation.The treatment comprising 100%Recommended Dose of Fertilizers(RDF)along with foliar application of 0.6%ZnSO_(4) and 0.9%FeSO_(4) at pre-flowering and pod development stages(T8)resulted in the maximum plant height(15.5 cm,33.7 cm,45.0 cm),dry matter accumulation(27.5 g,245.2 g,1006.7 g/m^(2)),and number of branches per plant(3.47,5.00,and 8.63)at 45,75,and 105 Days After Sowing(DAS),respectively.This treatment also resulted in the highest grain yield(21.00 q/ha)and stover yield(38.67 q/ha),along with a maximum net return of₹95,392/ha and a benefit-to-cost ratio of 2.32.From an ecological standpoint,this study highlights the vital role of balanced and targeted nutrient management in enhancing agroecosystem productivity while maintaining ecological balance.The integration of micronutrient foliar sprays not only boosts nutrient uptake efficiency and plant health but also reduces dependency on excessive chemical fertilizers,thereby mitigating potential negative impacts on soil ecology.Overall,the findings underscore the ecological importance of optimizing nutrient inputs in legume-based cropping systems to foster sustainable agricultural practices that align with ecological resilience,soil health preservation,and environmental stewardship.
文摘The current investigation focuses on intertwined relationships of ecology and aquaculture for the benefit of farmers involved in fish farming practices.The study evaluated glucosinolate reduction in black,brown,and white mustard meals as fish feed ingredients for Indian Major Carps.Fish were fed with 10%mustard meal-supplemented diets in three forms:Raw(R),Anti-nutritional Rich(AR),and Anti-nutritional Lowered(AL),alongside a control group using floating feed.The three-month indoor experiment(September-November 2023)was conducted in FRP tanks with triplicate treatments.Blood analysis revealed compromised health in AR-fed carps,with reduced hemoglobin levels in rohu,catla and mrigal and elevated total leukocyte counts indicating inflammation in all the three carps studied here.Liver function was impaired in AR-fed fish,shown by increased alanine transaminase levels,highest in rohu followed by mrigal and catla.Histopathological examination of AR-fed carps liver tissue revealed necrotic spots,deformed hepatocytes,and significant vacuolation.In contrast,AL-fed fish demonstrated improved health parameters through Complete Blood Count analysis,liver function tests,and histo-pathological observations,suggesting successful reduction of anti-nutritional factors in the processed mustard meals.In near future,replacement of unprocessed seed meal with processed seed meal will lead to economic gains in fish farming.
文摘This present study identifies endophytic bacteria from Linum usitatissimum with multidimensional plant growth-promoting attributes,positioning them as ecological engineers for sustainable agriculture.Plant growthpromoting bacteria(PGPB)are present in symbiotic associations with plants or rhizosphere.These microbes enhance crop productivity and resilience under different environmental conditions.Endophytes are a type of PGPB that inhabit inside plant tissues and contribute to plant growth by phytohormone production,phosphate solubilisation,zinc solubilisation,siderophore production,ammonia production,nitrogen fixation,stress tolerance,and biocontrol mechanisms.Twelve bacterial strains were isolated from Linum usitatissimum exhibiting plant growth-promoting attributes such as ammonia and indole-3-acetic acid(IAA)production,siderophore synthesis,phosphate solubilisation,and extracellular enzyme synthesis.The isolated endophytes were also assessed for different enzymatic activities such as;cellulase,pectinase,xylanase,amylase,and gelatinase,which contribute to development of a symbiotic relationship and are crucial for the degradation of plant cell wall components The most efficient endophytes identified in the present study were Pseudomonas sp.strain JL-1(ESL1)and Staphylococcus sciuri(ESL2),both of which displayed strong plant growth-promoting potential.ESL1 and ESL2 demonstrated promising plant growth-promoting characteristics and cellulase,pectinase,xylanase,amylase,and gelatinase,activity.ESL2(Staphylococcus sciuri)enhanced nutrient cycling(phosphate solubilisation:196-209μg/ml;siderophores:68-71%)and stress tolerance(IAA:11-12μg/ml),reducing reliance on synthetic inputs.By integrating flax microbiomes into agro-ecosystems,we demonstrate a scalable approach to reconcile crop productivity with soil biodiversity conservation.These results demonstrate the potentiality of these endophytic microbes in sustainable agriculture,environmental management,and microbial biotechnology.Further studies on their metabolic pathways may expand their applications in bioremediation and plant-microbe interactions.
文摘We have studied periodic orbits generated by Lagrangian solutions of the restricted three-body problem when both the primaries are triaxial rigid bodies and source of radiation pressure. We have determined periodic orbits for different values of (h is energy constant;μ is mass ratio of the two primaries;are parameters of triaxial rigid bodies and are radiation parameters). These orbits have been determined by giving displacements along the tangent and normal at the mobile co-ordinates as defined in our papers (Mittal et al. [1]-[3]). These orbits have been drawn by using the predictor-corrector method. We have also studied the effect of triaxial bodies and source of radiation pressure on the periodic orbits by taking fixed value of μ.
文摘This paper studies the existence and stability of the artificial equilibrium points (AEPs) in the low-thrust restricted three-body problem when both the primaries are oblate spheroids. The artificial equilibrium points (AEPs) are generated by canceling the gravitational and centrifugal forces with continuous low-thrust at a non-equilibrium point. Some graphical investigations are shown for the effects of the relative parameters which characterized the locations of the AEPs. Also, the numerical values of AEPs have been calculated. The positions of these AEPs will depend not only also on magnitude and directions of low-thrust acceleration. The linear stability of the AEPs has been investigated. We have determined the stability regions in the xy, xz and yz-planes and studied the effect of oblateness parameters A1(0A1?and ?A2(0A2<1) on the motion of the spacecraft. We have found that the stability regions reduce around both the primaries for the increasing values of oblateness of the primaries. Finally, we have plotted the zero velocity curves to determine the possible regions of motion of the spacecraft.
文摘Virtual screening(VS)has become an essential computational tool in drug discovery that helps to identify bioactive compounds by predicting their interactions with biological targets.This approach,which includes both ligand-based and structure-based methods,aims to discriminate between active and inactive molecules to facilitate the identification of potential therapeutic agents.Despite important advances,challenges remain in accurately predicting ligand-receptor interactions,managing large chemical libraries,and increasing hit identification efficiency.These limitations,coupled with assumptions made by computational tools and data-driven errors,underscore the need for improved techniques to increase prediction precision and reduce false positives.This study employed advanced computational tools for VS,focusing primarily on molecular docking and ligand-protein interaction analysis.AutoDock,known for its Lamarckian genetic algorithm,was used for docking simulations,incorporating pharmacy grids to assess ligand-binding affinities.Additionally,CHARMM software was applied for molecular dynamics simulations to calculate empirical energy functions.AI-driven algorithms such as KarmaDock and DeepDock were utilized for large-scale ligand screening and for improving protein-ligand docking accuracy.Machine learning-based scoring systems and quantitative structure-activity relationship(QSAR)models improved binding affinity predictions.