The concept of Industrial Biosystems Engineering (IBsE) was suggested as a new engineering branch to be developed for meeting the needs for science, technology and professionals by the upcoming bioeconomy. With emphas...The concept of Industrial Biosystems Engineering (IBsE) was suggested as a new engineering branch to be developed for meeting the needs for science, technology and professionals by the upcoming bioeconomy. With emphasis on systems, IBsE builds upon the interfaces between systems biology, bioprocessing, and systems engineering. This paper discussed the background, the suggested definition, the theoretical framework and methodologies of this new discipline as well as its challenges and future development.展开更多
Identifying the factors that contribute to individual susceptibility to cancer is essential for both prevention and treatment.The advancement of biotechnologies,particularly next-generation sequencing,has accelerated ...Identifying the factors that contribute to individual susceptibility to cancer is essential for both prevention and treatment.The advancement of biotechnologies,particularly next-generation sequencing,has accelerated the discovery of genetic variants linked to cancer susceptibility.While hundreds of cancer-susceptibility genes have been identified,they only explain a small fraction of the overall cancer risk,a phenomenon known as"missing heritability".Despite progress,even considering factors such as epistasis,epigenetics,and gene-environment interactions,the missing heritability remains unresolved.Recent research has revealed that an individual's microbiome composition plays a significant role in cancer susceptibility through several mechanisms,such as modulating immune cell activity and influencing the presence or removal of environmental carcinogens.In this review,we examine the multifaceted roles of the microbiome in cancer risk and explore gene-microbiome and environment-microbiome interactions that may contribute to cancer susceptibility.Additionally,we highlight the importance of experimental models,such as collaborative cross mice,and advanced analytical tools,like artificial intelligence,in identifying microbial factors associated with cancer risk.Understanding these microbial determinants can open new avenues for interventions aimed at reducing cancer risk and guide the development of more effective cancer treatments.展开更多
Early risk detection and management are essential for cognitive preservation.While particulate matter with a diameter smaller than 2.5μm(PM_(2.5))is considered harmful to cognition,the effect of smaller,more penetrat...Early risk detection and management are essential for cognitive preservation.While particulate matter with a diameter smaller than 2.5μm(PM_(2.5))is considered harmful to cognition,the effect of smaller,more penetrative particulate matter with a diameter smaller than 1μm(PM_(1))requires further evidence and explicit safety thresholds.In this study,we explored the effects of long-term PM_(1) exposure on early cognitive impairment and longitudinal cognitive changes in middle-aged and older populations.This study assessed data from two large-scale longitudinal surveys:the China Health and Retirement Longitudinal Study(CHARLS)and UK Biobank(UKB).Cross-sectional,longitudinal,and trajectory analyses were conducted to investigate the association between long-term PM_(1) exposure and cognition.Additionally,the expo sure-response curves were fitted to determine the customized thresholds.The findings indicated that sustained PM_(1) exposure may lead to mild cognitive impairment,particularly at concentrations exceeding 30 and 5.6μg·m^(-3) in CHARLS and UKB participants,respectively.Furthermore,we found that long-term PM_(1) exposure can contribute to rapid cognitive decline at concentrations exceeding 23 and 5.5μg·m^(-3) in CHARLS and UKB participants,respectively.In conclusion,reducing PM_(1) exposure can improve the cognitive health of middle-aged and older adults.展开更多
Humins,as a group of by-products formed through the condensation and coupling of fragment intermediates during lignocellulosic biomass refining,can cause numerous negative effects such as the wastage of carbon resourc...Humins,as a group of by-products formed through the condensation and coupling of fragment intermediates during lignocellulosic biomass refining,can cause numerous negative effects such as the wastage of carbon resources,clogging of reactor piping,deactivation of catalyst,and barriers to product separation.Elucidating the generation mechanism of humins,developing efficient inhibitors,and even utilizing them as a resource,both from the perspective of atom economy and safe production,constitutes a research endeavor replete with challenges and opportunities.Orbiting the critical issue of humins structure and its generation mechanism from cellulose and hemicellulose resources,the random condensation between intermediates such as 5-hydroxymethylfurfural,furfural,2,5-dioxo-6-hydroxyhexanal,and 1,2,4-benzenetriol etc.were systematically summarized.Additionally,the presence of lignin in real biorefining processes further promotes the formation of a special type of humins known as"pseudo-lignin".The influences of various factors,including raw materials,reaction temperature and time,acid-base environment,as well as solvent systems and catalysts,on the formation of humins were comprehensively analyzed.To minimize the formation of humins,the design of efficient solvent systems and catalysts is crucial.Furthermore,this review investigates the approaches to value-added applications of humins.The corresponding summary could provide guidance for the development of the humins chemistry.展开更多
AIM： To investigate whether a fuzzy logic model could predict colorectal cancer （CRC） risk engendered by smoking in hereditary non-polyposis colorectal cancer （HNPCC） patients. METHODS： Three hundred and forty H...AIM： To investigate whether a fuzzy logic model could predict colorectal cancer （CRC） risk engendered by smoking in hereditary non-polyposis colorectal cancer （HNPCC） patients. METHODS： Three hundred and forty HNPCC mismatch repair （MMR） mutation carriers from the Creighton University Hereditary Cancer Institute Registry were selected for modeling. Age-dependent curves were generated to elucidate the joint effects between gene mutation （hMLH1 or hMSH2）, gender, and smoking status on the probability of developing CRC. RESULTS： Smoking significantly increased CRC risk in male hMSH2 mutation carriers （P 〈 0.05）. hMLH1 mutations augmented CRC risk relative to hMSH2 mutation carriers for males （P 〈 0.05）. Males had a significantly higher risk of CRC than females for hMLH1 non smokers （P 〈 0.05）, hMLH1 smokers （P 〈 0.1） and hMSH2 smokers （P 〈 0.1）. Smoking promoted CRC in a dose-dependent manner in hMSH2 in males （P 〈 0.05）. Females with hMSH2 mutations and both sexes with the hMLH1 groups only demonstrated a smoking effect after an extensive smoking history （P 〈 0.05）. CONCLUSION： CRC promotion by smoking in HNPCC patients is dependent on gene mutation, gender and age. These data demonstrate that fuzzy modeling may enable formulation of clinical risk scores, thereby allowing individualization of CRC prevention strategies.展开更多
Aqueous ammonia was used to pretreat wheat straw to improve biodegradability and provide nitrogen source for enhancing biogas production. Three doses of ammonia(2%, 4%, and 6%, dry matter) and three moisture contents(...Aqueous ammonia was used to pretreat wheat straw to improve biodegradability and provide nitrogen source for enhancing biogas production. Three doses of ammonia(2%, 4%, and 6%, dry matter) and three moisture contents(30%, 60%, and 80%, dry matter) were applied to pretreat wheat straw for 7 days. The pretreated wheat straws were anaerobically digested at three loading rates(50, 65, and 80 g·L-1) to produce biogas. The results indicated that the wheat straw pretreated with 80% moisture content and 4% ammonia achieved the highest methane yield of 199.7 ml·g-1(based on per unit volatile solids loaded), with shorter digestion time(T80) of 25 days at the loading rate of 65 g·L-1compared to untreated one. The main chemical compositions of wheat straw were also analyzed. The cellulose and hemicellulose contents were decomposed by 2%-20% and 26%-42%, respectively,while the lignin content was hardly removed, cold-water and hot-water extracts were increased by 4%-44%, and12%-52%, respectively, for the ammonia-pretreated wheat straws at different moisture contents. The appropriate C/N ratio and decomposition of original chemical compositions into relatively readily biodegradable substances will improve the biodegradability and biogas yield.展开更多
CO2 removal from biogas by water washing system was investigated with various parameters, including liquid/ gas ratio, pressure, temperature, and CO2 content. The results indicate that CO2 removal ratio could reach 34...CO2 removal from biogas by water washing system was investigated with various parameters, including liquid/ gas ratio, pressure, temperature, and CO2 content. The results indicate that CO2 removal ratio could reach 34.6%- 94.2% as liquid/gas ratio increased from 0.14 to 0.50. Increasing pressure （from 0.8 to 1.2 MPa） could improve gas purification with a constant inflow rate of gas. Temperature played a key role in the process and lower temper- ature in absorption tower was beneficial for reducing CO2 content. CO2 removal ratio could reach 24.4%-83.2% when CO2 content in the simulated gas was 25%-45%. The lowest CO2 content after absorption was 2.6% at 1.2 MPa with 400 L·h-1 gas flow and 200 L·h-1 water flow, which meets the requirement of CO2 content in natural Ras for vehicle fuel.展开更多
In order to enhance the biomethane production from corn stover, choosing effective pretreatment is one of the necessary steps before starting anaerobic digestion(AD).This study was aimed to analyze the effectiveness o...In order to enhance the biomethane production from corn stover, choosing effective pretreatment is one of the necessary steps before starting anaerobic digestion(AD).This study was aimed to analyze the effectiveness of freezing–thawing with ammonia pretreatment on substance degradation and AD performance of corn stover.Three ammonia concentrations(2%, 4%, and 6%) with two different moisture contents(50% and 70%) were used to pretreat the corn stover at two temperatures(-20 ℃ and 20 ℃).The result showed that an optimum pretreatment condition for corn stover was at the temperature of -20 ℃, moisture content of 70% and ammonia concentration of 2%.Under the optimum pretreatment condition, the maximum biomethane yield reached 261 ml·(g VS)^(-1), which was 41.08% higher than that of the untreated.Under different pretreatment conditions,the highest loss of lignin at -20 ℃ with 2% ammonia concentration was 63.36% compared with the untreated.The buffer capacity of AD system was also improved after the freezing–thawing with ammonia pretreatment.Therefore, the freezing–thawing with ammonia pretreatment can be used to improve AD performance for corn stover.This study provides further insight for exploring an efficient freezing–thawing with ammonia pretreatment strategy to enhance AD performance for the practical application.展开更多
The phytohormone auxin plays crucial roles in nearly every aspect of plant growth and development.Auxin signaling is activated through the phytohormone-induced proteasomal degradation of the Auxin/INDOLE-3-ACETIC ACID...The phytohormone auxin plays crucial roles in nearly every aspect of plant growth and development.Auxin signaling is activated through the phytohormone-induced proteasomal degradation of the Auxin/INDOLE-3-ACETIC ACID(Aux/IAA)family of transcriptional repressors.Notably,many auxin-modulated physiological processes are also regulated by nitric oxide(NO)that executes its biological effects predominantly through protein S-nitrosylation at specific cysteine residues.However,little is known about the molecular mechanisms in regulating the interactive NO and auxin networks.Here,we show that NO represses auxin signaling by inhibiting IAA17 protein degradation.NO induces the S-nitrosylation of Cys-70 located in the intrinsically disordered region of IAA17,which inhibits the TIR1-IAA17 interaction and consequently the proteasomal degradation of IAA17.The accumulation of a higher level of IAA17 attenuates auxin response.Moreover,an IAA17^(C70W)nitrosomimetic mutation renders the accumulation of a higher level of the mutated protein,thereby causing partial resistance to auxin and defective lateral root development.Taken together,these results suggest that S-nitrosylation of IAA17 at Cys-70 inhibits its interaction with TIR1,thereby negatively regulating auxin signaling.This study provides unique molecular insights into the redox-based auxin signaling in regulating plant growth and development.展开更多
Screening for drought tolerance is critical to ensure high biomass production of bioenergy sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is the challenge of accurately predic...Screening for drought tolerance is critical to ensure high biomass production of bioenergy sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is the challenge of accurately predicting biomass for a large number of genotypes. Although biomass prediction by lowaltitude remote sensing has been widely investigated on various crops, the performance of the predictions are not consistent, especially when applied in a breeding context with hundreds of genotypes. In some cases, biomass prediction of a large group of genotypes benefited from multimodal remote sensing data;while in other cases, the benefits were not obvious. In this study, we evaluated the performance of single and multimodal data(thermal, RGB, and multispectral) derived from an unmanned aerial vehicle(UAV) for biomass prediction for drought tolerance assessments within a context of bioenergy sorghum breeding. The biomass of 360 sorghum genotypes grown under well-watered and water-stressed regimes was predicted with a series of UAV-derived canopy features, including canopy structure, spectral reflectance, and thermal radiation features. Biomass predictions using canopy features derived from the multimodal data showed comparable performance with the best results obtained with the single modal data with coefficients of determination(R2) ranging from 0.40 to 0.53 under water-stressed environment and0.11 to 0.35 under well-watered environment. The significance in biomass prediction was highest with multispectral followed by RGB and lowest with the thermal sensor. Finally, two well-recognized yieldbased drought tolerance indices were calculated from ground truth biomass data and UAV predicted biomass, respectively. Results showed that the geometric mean productivity index outperformed the yield stability index in terms of the potential for reliable predictions by the remotely sensed data.Collectively, this study demonstrated a promising strategy for the use of different UAV-based imaging sensors to quantify yield-based drought tolerance.展开更多
文摘The concept of Industrial Biosystems Engineering (IBsE) was suggested as a new engineering branch to be developed for meeting the needs for science, technology and professionals by the upcoming bioeconomy. With emphasis on systems, IBsE builds upon the interfaces between systems biology, bioprocessing, and systems engineering. This paper discussed the background, the suggested definition, the theoretical framework and methodologies of this new discipline as well as its challenges and future development.
基金Supported by The United States Department of Defense Breast Cancer Research Program,No.BC190820the National Institutes of Health,No.R01ES031322.
文摘Identifying the factors that contribute to individual susceptibility to cancer is essential for both prevention and treatment.The advancement of biotechnologies,particularly next-generation sequencing,has accelerated the discovery of genetic variants linked to cancer susceptibility.While hundreds of cancer-susceptibility genes have been identified,they only explain a small fraction of the overall cancer risk,a phenomenon known as"missing heritability".Despite progress,even considering factors such as epistasis,epigenetics,and gene-environment interactions,the missing heritability remains unresolved.Recent research has revealed that an individual's microbiome composition plays a significant role in cancer susceptibility through several mechanisms,such as modulating immune cell activity and influencing the presence or removal of environmental carcinogens.In this review,we examine the multifaceted roles of the microbiome in cancer risk and explore gene-microbiome and environment-microbiome interactions that may contribute to cancer susceptibility.Additionally,we highlight the importance of experimental models,such as collaborative cross mice,and advanced analytical tools,like artificial intelligence,in identifying microbial factors associated with cancer risk.Understanding these microbial determinants can open new avenues for interventions aimed at reducing cancer risk and guide the development of more effective cancer treatments.
基金supported by the National Key Research and Development Program of China(2021YFC2701102)the China-US Program for Biomedical Collaborative Research(NSFC-NIH)(81961128022)+1 种基金the US National Institute for Environmental Health Sciences(NIEHS)(R01ES031322)the National Science Fund for Young Scholars(82304095)。
文摘Early risk detection and management are essential for cognitive preservation.While particulate matter with a diameter smaller than 2.5μm(PM_(2.5))is considered harmful to cognition,the effect of smaller,more penetrative particulate matter with a diameter smaller than 1μm(PM_(1))requires further evidence and explicit safety thresholds.In this study,we explored the effects of long-term PM_(1) exposure on early cognitive impairment and longitudinal cognitive changes in middle-aged and older populations.This study assessed data from two large-scale longitudinal surveys:the China Health and Retirement Longitudinal Study(CHARLS)and UK Biobank(UKB).Cross-sectional,longitudinal,and trajectory analyses were conducted to investigate the association between long-term PM_(1) exposure and cognition.Additionally,the expo sure-response curves were fitted to determine the customized thresholds.The findings indicated that sustained PM_(1) exposure may lead to mild cognitive impairment,particularly at concentrations exceeding 30 and 5.6μg·m^(-3) in CHARLS and UKB participants,respectively.Furthermore,we found that long-term PM_(1) exposure can contribute to rapid cognitive decline at concentrations exceeding 23 and 5.5μg·m^(-3) in CHARLS and UKB participants,respectively.In conclusion,reducing PM_(1) exposure can improve the cognitive health of middle-aged and older adults.
文摘Humins,as a group of by-products formed through the condensation and coupling of fragment intermediates during lignocellulosic biomass refining,can cause numerous negative effects such as the wastage of carbon resources,clogging of reactor piping,deactivation of catalyst,and barriers to product separation.Elucidating the generation mechanism of humins,developing efficient inhibitors,and even utilizing them as a resource,both from the perspective of atom economy and safe production,constitutes a research endeavor replete with challenges and opportunities.Orbiting the critical issue of humins structure and its generation mechanism from cellulose and hemicellulose resources,the random condensation between intermediates such as 5-hydroxymethylfurfural,furfural,2,5-dioxo-6-hydroxyhexanal,and 1,2,4-benzenetriol etc.were systematically summarized.Additionally,the presence of lignin in real biorefining processes further promotes the formation of a special type of humins known as"pseudo-lignin".The influences of various factors,including raw materials,reaction temperature and time,acid-base environment,as well as solvent systems and catalysts,on the formation of humins were comprehensively analyzed.To minimize the formation of humins,the design of efficient solvent systems and catalysts is crucial.Furthermore,this review investigates the approaches to value-added applications of humins.The corresponding summary could provide guidance for the development of the humins chemistry.
基金Supported by a grant from the American College of Gastroenterology
文摘AIM： To investigate whether a fuzzy logic model could predict colorectal cancer （CRC） risk engendered by smoking in hereditary non-polyposis colorectal cancer （HNPCC） patients. METHODS： Three hundred and forty HNPCC mismatch repair （MMR） mutation carriers from the Creighton University Hereditary Cancer Institute Registry were selected for modeling. Age-dependent curves were generated to elucidate the joint effects between gene mutation （hMLH1 or hMSH2）, gender, and smoking status on the probability of developing CRC. RESULTS： Smoking significantly increased CRC risk in male hMSH2 mutation carriers （P 〈 0.05）. hMLH1 mutations augmented CRC risk relative to hMSH2 mutation carriers for males （P 〈 0.05）. Males had a significantly higher risk of CRC than females for hMLH1 non smokers （P 〈 0.05）, hMLH1 smokers （P 〈 0.1） and hMSH2 smokers （P 〈 0.1）. Smoking promoted CRC in a dose-dependent manner in hMSH2 in males （P 〈 0.05）. Females with hMSH2 mutations and both sexes with the hMLH1 groups only demonstrated a smoking effect after an extensive smoking history （P 〈 0.05）. CONCLUSION： CRC promotion by smoking in HNPCC patients is dependent on gene mutation, gender and age. These data demonstrate that fuzzy modeling may enable formulation of clinical risk scores, thereby allowing individualization of CRC prevention strategies.
基金Supported by the National High Technology Research and Development Program of China(2008AA062401)the China-US International Cooperation Project(2011DFA90800)the Ministry of Science and Technology,China
文摘Aqueous ammonia was used to pretreat wheat straw to improve biodegradability and provide nitrogen source for enhancing biogas production. Three doses of ammonia(2%, 4%, and 6%, dry matter) and three moisture contents(30%, 60%, and 80%, dry matter) were applied to pretreat wheat straw for 7 days. The pretreated wheat straws were anaerobically digested at three loading rates(50, 65, and 80 g·L-1) to produce biogas. The results indicated that the wheat straw pretreated with 80% moisture content and 4% ammonia achieved the highest methane yield of 199.7 ml·g-1(based on per unit volatile solids loaded), with shorter digestion time(T80) of 25 days at the loading rate of 65 g·L-1compared to untreated one. The main chemical compositions of wheat straw were also analyzed. The cellulose and hemicellulose contents were decomposed by 2%-20% and 26%-42%, respectively,while the lignin content was hardly removed, cold-water and hot-water extracts were increased by 4%-44%, and12%-52%, respectively, for the ammonia-pretreated wheat straws at different moisture contents. The appropriate C/N ratio and decomposition of original chemical compositions into relatively readily biodegradable substances will improve the biodegradability and biogas yield.
基金Supported by the National Technology Research and Development Program of China(2008AA062402)the China-US International Cooperation Project(2011DFA90800)the Ministry of Science and Technology,China
文摘CO2 removal from biogas by water washing system was investigated with various parameters, including liquid/ gas ratio, pressure, temperature, and CO2 content. The results indicate that CO2 removal ratio could reach 34.6%- 94.2% as liquid/gas ratio increased from 0.14 to 0.50. Increasing pressure （from 0.8 to 1.2 MPa） could improve gas purification with a constant inflow rate of gas. Temperature played a key role in the process and lower temper- ature in absorption tower was beneficial for reducing CO2 content. CO2 removal ratio could reach 24.4%-83.2% when CO2 content in the simulated gas was 25%-45%. The lowest CO2 content after absorption was 2.6% at 1.2 MPa with 400 L·h-1 gas flow and 200 L·h-1 water flow, which meets the requirement of CO2 content in natural Ras for vehicle fuel.
基金Supported by the Key Technologies R&D Program of China(2016YFD0501402)
文摘In order to enhance the biomethane production from corn stover, choosing effective pretreatment is one of the necessary steps before starting anaerobic digestion(AD).This study was aimed to analyze the effectiveness of freezing–thawing with ammonia pretreatment on substance degradation and AD performance of corn stover.Three ammonia concentrations(2%, 4%, and 6%) with two different moisture contents(50% and 70%) were used to pretreat the corn stover at two temperatures(-20 ℃ and 20 ℃).The result showed that an optimum pretreatment condition for corn stover was at the temperature of -20 ℃, moisture content of 70% and ammonia concentration of 2%.Under the optimum pretreatment condition, the maximum biomethane yield reached 261 ml·(g VS)^(-1), which was 41.08% higher than that of the untreated.Under different pretreatment conditions,the highest loss of lignin at -20 ℃ with 2% ammonia concentration was 63.36% compared with the untreated.The buffer capacity of AD system was also improved after the freezing–thawing with ammonia pretreatment.Therefore, the freezing–thawing with ammonia pretreatment can be used to improve AD performance for corn stover.This study provides further insight for exploring an efficient freezing–thawing with ammonia pretreatment strategy to enhance AD performance for the practical application.
基金supported by grants from the National Natural Science Foundation of China (31830017)Chinese Academy of Sciences (XDB27030207)+1 种基金the Hainan Excellent Talent TeamState Key Laboratory of Plant Genomics (SKLPG2023-22)
文摘The phytohormone auxin plays crucial roles in nearly every aspect of plant growth and development.Auxin signaling is activated through the phytohormone-induced proteasomal degradation of the Auxin/INDOLE-3-ACETIC ACID(Aux/IAA)family of transcriptional repressors.Notably,many auxin-modulated physiological processes are also regulated by nitric oxide(NO)that executes its biological effects predominantly through protein S-nitrosylation at specific cysteine residues.However,little is known about the molecular mechanisms in regulating the interactive NO and auxin networks.Here,we show that NO represses auxin signaling by inhibiting IAA17 protein degradation.NO induces the S-nitrosylation of Cys-70 located in the intrinsically disordered region of IAA17,which inhibits the TIR1-IAA17 interaction and consequently the proteasomal degradation of IAA17.The accumulation of a higher level of IAA17 attenuates auxin response.Moreover,an IAA17^(C70W)nitrosomimetic mutation renders the accumulation of a higher level of the mutated protein,thereby causing partial resistance to auxin and defective lateral root development.Taken together,these results suggest that S-nitrosylation of IAA17 at Cys-70 inhibits its interaction with TIR1,thereby negatively regulating auxin signaling.This study provides unique molecular insights into the redox-based auxin signaling in regulating plant growth and development.
基金funded by US Department of Energy,BER(DE-SC0014395 to DPS)a USDA-NIFA Grant (2021-67021-34417)the Nebraska Agricultural Experiment Station through the Hatch Act Capacity Funding Program (1011130) from the USDA National Institute of Food and Agriculture。
文摘Screening for drought tolerance is critical to ensure high biomass production of bioenergy sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is the challenge of accurately predicting biomass for a large number of genotypes. Although biomass prediction by lowaltitude remote sensing has been widely investigated on various crops, the performance of the predictions are not consistent, especially when applied in a breeding context with hundreds of genotypes. In some cases, biomass prediction of a large group of genotypes benefited from multimodal remote sensing data;while in other cases, the benefits were not obvious. In this study, we evaluated the performance of single and multimodal data(thermal, RGB, and multispectral) derived from an unmanned aerial vehicle(UAV) for biomass prediction for drought tolerance assessments within a context of bioenergy sorghum breeding. The biomass of 360 sorghum genotypes grown under well-watered and water-stressed regimes was predicted with a series of UAV-derived canopy features, including canopy structure, spectral reflectance, and thermal radiation features. Biomass predictions using canopy features derived from the multimodal data showed comparable performance with the best results obtained with the single modal data with coefficients of determination(R2) ranging from 0.40 to 0.53 under water-stressed environment and0.11 to 0.35 under well-watered environment. The significance in biomass prediction was highest with multispectral followed by RGB and lowest with the thermal sensor. Finally, two well-recognized yieldbased drought tolerance indices were calculated from ground truth biomass data and UAV predicted biomass, respectively. Results showed that the geometric mean productivity index outperformed the yield stability index in terms of the potential for reliable predictions by the remotely sensed data.Collectively, this study demonstrated a promising strategy for the use of different UAV-based imaging sensors to quantify yield-based drought tolerance.
