Globally about half of the world’s population is under micronutrient malnutrition due to poor quality food intake.To overcome this problem,fortification and biofortification techniques are often used.Biofortification...Globally about half of the world’s population is under micronutrient malnutrition due to poor quality food intake.To overcome this problem,fortification and biofortification techniques are often used.Biofortification is considered a better option than fortification due to the easy control of nutrient deficiencies present in daily food.This field experiment was conducted to evaluate the effects of foliar application of a micronutrient mixture(MNM)consisting of zinc(Zn),iron(Fe),copper(Cu),manganese(Mn)and boron(B)on yield and flour quality of wheat.The results show the effectiveness of foliar feeding for growth and yield parameters,in addition to the enriching of wheat grains with Zn,Cu,Fe,Mn and B.Compared to the control without foliar feeding,foliar application on wheat crop increased tillering ability,spike length,grain yield and the contents of Zn,Cu,Mn,Fe and B by 21,47,22,22 and 25%in wheat flour,respectively.Therefore,foliar feeding of micronutrients could be an effective approach to enrich wheat grains with essential nutrients for correcting malnutrition.展开更多
Phytoremediation is a valuable technology for mitigating soil contamination in agricultural lands,but phytoremediation without economic revenue is unfeasible for land owners and farmers.The use of crops with high biom...Phytoremediation is a valuable technology for mitigating soil contamination in agricultural lands,but phytoremediation without economic revenue is unfeasible for land owners and farmers.The use of crops with high biomass and bioenergy for phytoremediation is a unique strategy to derive supplementary benefits along with remediation activities.Sunflower(Helianthus annuus L.)is a high-biomass crop that can be used for the phytoremediation of polluted lands with additional advantages(biomass and oil).In this study,40 germplasms of sunflower were screened in field conditions for phytoremediation with the possibility for oil and meal production.The study was carried out to the physiological maturity stage.All studied germplasms mopped up substantial concentrations of Pb,with maximum amounts in shoot>root>seed respectively.The phytoextraction efficiency of the germplasm was assessed in terms of the Transfer factor(TF),Metal removal efficiency(MRE)and Metal extraction ratio(MER).Among all assessed criteria,GP.8585 was found to be most appropriate for restoring moderately Pb-contaminated soil accompanied with providing high biomass and high yield production.The Pb content in the oil of GP.8585 was below the Food safety standard of China,with 59.5% oleic acid and 32.1% linoleic acid.Moreover,amino acid analysis in meal illustrated significant differences among essential and nonessential amino acids.Glutamic acid was found in the highest percentage(22.4%),whereas cysteine in the lowest percentage(1.3%).Therefore,its efficient phytoextraction ability and good quality edible oil and meal production makes GP.8585 the most convenient sunflower germplasm for phytoremediation of moderately Pb-contaminated soil,with fringe benefits to farmers and landowners.展开更多
As Internet access widens,IDS(Intrusion Detection System)is becoming a very important component of network security to prevent unauthorized use and misuse of data.An IDS routinely handles massive amounts of data traff...As Internet access widens,IDS(Intrusion Detection System)is becoming a very important component of network security to prevent unauthorized use and misuse of data.An IDS routinely handles massive amounts of data traffic that contain redundant and irrelevant features,which impact the performance of the IDS negatively.Feature selection methods play an important role in eliminating unrelated and redundant features in IDS.Statistical analysis,neural networks,machine learning,data mining techniques,and support vector machine models are employed in some such methods.Good feature selection leads to better classification accuracy.Recently,bio-inspired optimization algorithms have been used for feature selection.This work provides a survey of feature selection techniques for IDS,including bio-inspired algorithms.展开更多
基金supported by the Plant Nutrition and Stress Management Laboratory, Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Pakistan
文摘Globally about half of the world’s population is under micronutrient malnutrition due to poor quality food intake.To overcome this problem,fortification and biofortification techniques are often used.Biofortification is considered a better option than fortification due to the easy control of nutrient deficiencies present in daily food.This field experiment was conducted to evaluate the effects of foliar application of a micronutrient mixture(MNM)consisting of zinc(Zn),iron(Fe),copper(Cu),manganese(Mn)and boron(B)on yield and flour quality of wheat.The results show the effectiveness of foliar feeding for growth and yield parameters,in addition to the enriching of wheat grains with Zn,Cu,Fe,Mn and B.Compared to the control without foliar feeding,foliar application on wheat crop increased tillering ability,spike length,grain yield and the contents of Zn,Cu,Mn,Fe and B by 21,47,22,22 and 25%in wheat flour,respectively.Therefore,foliar feeding of micronutrients could be an effective approach to enrich wheat grains with essential nutrients for correcting malnutrition.
基金supported by Zhejiang Science and Technology Bureau(No.2018C02029)the National Natural Science Foundation of China(Nos.41721001 and 31872956)+1 种基金Ministry of Science and Technology of China(No.2016YFD0800805)the Fundamental Research Funds for the Central Universities
文摘Phytoremediation is a valuable technology for mitigating soil contamination in agricultural lands,but phytoremediation without economic revenue is unfeasible for land owners and farmers.The use of crops with high biomass and bioenergy for phytoremediation is a unique strategy to derive supplementary benefits along with remediation activities.Sunflower(Helianthus annuus L.)is a high-biomass crop that can be used for the phytoremediation of polluted lands with additional advantages(biomass and oil).In this study,40 germplasms of sunflower were screened in field conditions for phytoremediation with the possibility for oil and meal production.The study was carried out to the physiological maturity stage.All studied germplasms mopped up substantial concentrations of Pb,with maximum amounts in shoot>root>seed respectively.The phytoextraction efficiency of the germplasm was assessed in terms of the Transfer factor(TF),Metal removal efficiency(MRE)and Metal extraction ratio(MER).Among all assessed criteria,GP.8585 was found to be most appropriate for restoring moderately Pb-contaminated soil accompanied with providing high biomass and high yield production.The Pb content in the oil of GP.8585 was below the Food safety standard of China,with 59.5% oleic acid and 32.1% linoleic acid.Moreover,amino acid analysis in meal illustrated significant differences among essential and nonessential amino acids.Glutamic acid was found in the highest percentage(22.4%),whereas cysteine in the lowest percentage(1.3%).Therefore,its efficient phytoextraction ability and good quality edible oil and meal production makes GP.8585 the most convenient sunflower germplasm for phytoremediation of moderately Pb-contaminated soil,with fringe benefits to farmers and landowners.
基金Project supported by the Key Projects from Ministry of Science and Technology of China(No.2016YFD0800805)the Zhejiang Provincial Science and Technology Bureau(Nos.2015C02011-3 and2015C03020-2)the Fundamental Research Funds for the Central University,China
文摘As Internet access widens,IDS(Intrusion Detection System)is becoming a very important component of network security to prevent unauthorized use and misuse of data.An IDS routinely handles massive amounts of data traffic that contain redundant and irrelevant features,which impact the performance of the IDS negatively.Feature selection methods play an important role in eliminating unrelated and redundant features in IDS.Statistical analysis,neural networks,machine learning,data mining techniques,and support vector machine models are employed in some such methods.Good feature selection leads to better classification accuracy.Recently,bio-inspired optimization algorithms have been used for feature selection.This work provides a survey of feature selection techniques for IDS,including bio-inspired algorithms.
