Find research datasets worth reusing

opencc-by-4.0Dec 2023View details →

Maize Phosphorus Leaf Deficiency (MPLD) Database | Compact Scientific Camera (original-processed)

This database presents samples of maize leaves placed on a withe background, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).Its composed of two folders:<ul><li>Original_dataset: 722 jpg images of 1280 x 1020 pixels size divided into '_C', '-P' and '-P50' folders for class labels.</li><li>Processed_dataset: 2433 png images of 224 x 224 pixels size divided into '-C', '-P' and '-P50' folders for class labels.</li></ul>

opencc-by-nc-4.0Aug 2024View details →

Data Files for Climate-based Maize Loss Rate Simulations

This archive contains data files from an <a href="../records/13356711">open source pipeline</a> looking at how crop insurance rates may change in the future within the US Corn Belt using <a href="https://www.sciencedirect.com/science/article/pii/S0034425715001637">SCYM</a> and <a href="https://www.chc.ucsb.edu/data/chc-cmip6">CHC-CMIP6</a>. These are available under a Creative Commons license. Unless otherwise specified, these report on SSP245. See README for more details including column-level description of each resource. Funded by the <a href="https://dse.berkeley.edu/">Eric and Wendy Schmidt Center for Data Science and Environment</a> at the University of California, Berkeley.

opencc-by-4.0Jun 2024View details →

Dataset of the paper entitled methods for high-throughput screening of novel agents against the maize pest, Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae)

Title: Methods for high-throughput screening of novel agents against the maize pest, Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae)  Authors: Sri Ita Tarigan, Gyorgy Turoczi, Jozsef Kiss, Stefan Toepfer Abstract:  The western corn rootworm, Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae), poses a significant threat to maize crops in North America and Europe, necessitating development of novel, effective, and less disruptive crop protection agents. With recent bans on key insecticides and concerns about overuse of remaining options, there is an urgent need for accessible and comparable screening methods. We propose comparative high-throughput screening methods against the eggs, larvae and adults of this pest, emphasizing the importance of suitable positive controls tailored to the specific bioassay types. We evaluated seven common insecticides (imidacloprid, clothianidin, acetamiprid, novaluron, cypermethrin, chlorpyrifos-methyl, spinosad) against eggs, larvae, and adults as potential positive controls for each of the proposed assay methods. Dipping assays with ready-to-hatch eggs revealed several ingredients to cause mortality; but imidacloprid might be most suitable as a positive control due to its robust dose-response in reducing egg hatching and causing mortality of hatching neonates. Larval bioassays using artificial diet overlay assays revealed mortality caused by all insecticides, with imidacloprid and acetamiprid exhibiting best dose-mortality response curves as well as sublethal effects. Adult bioassays using artificial diet-core overlay assays revealed mortality caused by all insecticides, with cypermethrin or acetamiprid exhibiting best dose-mortality response curves. The provided ED 50, ED 80 values, and dose-response equations offer valuable insight for researchers in selecting appropriate positive controls for screening new crop protection agents or assessing resistance levels against different life stages of this pest. Data: The data file is related to the screening of commercial insecticides against eggs, first instar larvae (L1) and adults of the maize pest, Diabrotica virgifera virgifera using standard bioassays. We are proposing comparative high-throughput screening methods against the eggs, larvae and adults of this maize pest. This includes the crucial aspect of suitable positive controls tailored to the specific bioassay type. We evaluated seven common insecticides (imidacloprid, clothianidin, acetamiprid, novaluron, cypermethrin, chlorpyrifos-methyl, spinosad) against eggs, larvae, and adults as potential positive controls for each of the proposed assay method. To access effects and dose-responses of commonly used insecticides on eggs, we applied standard screening methods under controlled semi-sterile conditions. For egg bioassays, eggs were transferred to the 200 ml of treatments in the eppendorf tubes and then soaked for 1 hour. Then 20µl with 10 to 20 eggs were pipetted onto a filter paper in a petri dish (150 mm×25 mm). Then 100 µl of sterilized tap water was added for moisture. The pipette tip was replaced between treatments. The eggs been transferred were counted per filter paper and dish (15± 8). The eggs were then incubated in the dishes at 23-250C for 7 days, when the experiment was terminated. Egg hatching, mortality of newly hatching larvae, and days until start of egg hatching were observed under stereo microscope and recorded.  Data were collected at 1,3, 5 and 7 days after treatments. To assess the effect and dose-responses of commonly used insecticides on neonates of D. v. virgifera, we applied artificial diet-overlay bioassays under controlled semi-sterile conditions. Each insecticide was prepared in at least six concentrations. Each bioassay consisted of 3 to 6 polystyrene plates of 96 wells each (07-6096 of Biologix Ltd., USA, or Costar 3917 of Corning Inc., USA). Each well had a volume of 330 µl, with a diameter of 5 mm, a height of 10 mm, and a surface area of 0.34 cm². 190 µl of the diet were pipetted into each 330 µl well, filling each to approximately 2/3rd of its capacity. Plates containing the diet were left to dry in a laminar flow cabinet for 45 minutes and then stored overnight at temperatures ranging from 3 to 5°C. The following day, treatments were applied. This is, 17 µl of a treatment was applied to the 0.34 cm2 diet surface reaching good coverage and therefore forcing the after-placed larvae to feed through (10 to 100 µl pipette Biohit TM Proline). Each treatment was applied to 8 wells per plate. Following application, the plates were allowed to dry for a duration of 1 to 1.5 hours and were subsequently cooled for 1 hour in a refrigerator set at temperatures between 23 to 25°C. Each well received one neonate larva, carefully placed on the diet surface using a fine artist brush. A vigorous and visibly healthy larva was selected, lifted from the end of the abdomen with the brush, maneuvered towards a well surface, and allowed to crawl off the brush onto the diet. To avoid systematic errors, larvae were not arranged in treatment column order but rather in a rectangular pattern. After every 12 individual larvae, the brush was cleaned using 70% ethanol followed by sterile tap water. The filled plate was sealed with an optically clear adhesive qPCR seal sheet (#AB-1170, Termo Scientific, USA, or #BS3017000, Bioleader, USA), enabling data assessments without the need to open the plate. Four to five holes were carefully made with fine 00-insect pins into the seal per well to facilitate aeration. The plates, housing the larvae, were then incubated in a dark, ventilated incubator at a temperature of 23-25 °C and a relative humidity of 50 to 90% for a period of 5 days. We assessed mortality and stunting larvae within 3 and 5 days.  To access the effect and dose-responses of common insecticides on D.v.virgifera adults, artificial diet-overlay bioassays with different doses were performed under controlled, semi-sterile conditions. Each insecticide was prepared in at least six concentrations. Active ingredients as specified on the product labels underwent serial dilutions using sterile tap water. Sterilized tap water was used as untreated control. In detail, each bioassay consisted of 6 polystyrene plates of 6 wells each (Eppendorf® 0030720016). Each treatment was applied to 3 wells of each plate per bioassay. The adult diet for a bioassay had been prepared 1-7days before treatment and adult infestation. The diet was prepared under semi-sterile conditions. The diet was poured out to 5-6 sterile 11 mm Petri dishes. The plates with diet were allowed to dry for up to 15 minutes under laminar flow cabinet then stored at 3 to 5°C overnight.The following day, a core of the diet was initially transferred to each well using flamed iron core-cutter (1 cm diameter) under a laminar flow. A core diet was placed each of the 6 wells of the plates. Approximately 40 µl of the treatments were then applied across the surface of diet core (0.34 cm3). The following day, a core of the diet was initially transferred to each well using flamed iron core-cutter (1 cm diameter) under a laminar flow. A core diet was placed each of the 6 wells of the plates. Approximately 40 µl of the treatments were then applied across the surface of diet core (0.34 cm3). Adult were subsequently transferred from the rearing cage into the wells of the 6-well plates containing the diet and treatments using a tube aspirator. For ease of transfer, the adults were cooled in a fridge for 4 to 7 minutes. Each well plate received 3 to 4 adults. Plates were sealed and incubated at 23-250C, 50–90% r.h, L: D 12:12. Adult mortality were recorded on days 1,3, 5, 7 of experiment.  To allow comparisons between experiments, data were standardized to the data of the corresponding negative control, usually sterilized tap water, as follows: standardized data = 100 × (data in negative control - data in treatment)/maximum (data in control or in treatment). The distributions of the data were investigated using histograms and QQ normal and detrended normal probability. Skewness and kurtosis of residuals was also observed for normality of influences of treatments on eggs, neonates, or adults. Equality of variances was assessed using Levene’s test. Multiple comparisons were performed using the Tukey HSD post hoc test for data with equal variances and the Games-Howell post hoc test for data with unequal variances. For each tested insecticide, linear and logarithmic regression models were fit to the dose-response data. In case of significant linear or logartimic relathionships, doses leading to 50% or 80% of relative effects (ED 50,80) were calculated.   The raw data as well as the standardised data are available as a csv file on zenodo.

opencc-by-4.0Dec 2022View details →

Criteria for prioritizing selection of Mexican maize landrace accessions for conservation in situ or ex situ based on phylogenetic analysis

Data for processed SSR markers in maize accessions. A database in Structured Query Language (SQL) is provided. Please see the text file "READMEmaizeSSR.pdf".

opencc-by-4.0Feb 2019View details →

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations

This data set contains output data from simulations with the model LPJmL for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, plant day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season'). Version 2 of these files has been corrected with respect to the temporal sequence of results, which is not important if looking at 30-year averages as in Franke et al. 2020, but becomes relevant if looking at individual years.

opencc-by-4.0Jun 2023View details →

CLImate for Maize OMICS: CLIM4OMICS Analytics and Database (v2.0)

CLIM4OMICS Analytics and Database is Improved database of G2F data repository that contains OMICs (genetic and phenotypic) and environmental data for maize yield predictability across 84 experimental fields in the U.S. and province of ON in Canada between 2014-2021. The goal of this pipeline is to aggregate, improve, and synthesize multi-dimensional G2F data including Geno-type, Phenotype and Environmental data for GxE modeling. This dataset contains 79,122 phenotype measurements, 378 genotypes of maize lines, environmental data of 178 locations and Python Scripts for Quality control (QC), Consistency control (CC) steps and ML models for GxE interactions. The Environmental data is extracted from NWS, DayMet and NSRDB databases and processed for QC and CC. The environmental dataset contains the minimum temperature (Tmin), average temperature (Tmean), maximum temperature (Tmax), minimum dew point (DPmin), average dew point (DPmean), maximum dew point (DPmax), minimum relative humidity (RHmin), average relative humidity (RHmean), maximum relative humidity (RHmax), minimum solar radiation (SRmin), average solar radiation (SRmean), maximum solar radiation (SRmax), accumulative rainfall (Racc), average wind speed (WSmean), and average wind direction (WDmean). This package also contains the raw G2F data and preprocessing pipeline.

opencc-by-4.0Jan 2023View details →

CLImate for Maize OMICS: CLIM4OMICS Analytics and Database

opencc-by-4.0Sep 2023View details →

Genetic diversity, population structure, and linkage disequilibrium among tropical quality protein maize (QPM) lines assessed with high-density SNP markers

The study of genetic diversity (GD), population structure, and linkage disequilibrium (LD) provides a better understanding of the genetic relationships between individuals in a population which can be utilized in crop research and improvement. Genotyping-by-sequencing (GBS) was used to detect and genotype single nucleotide polymorphisms (SNPs) in a collection of 74 quality protein maize (QPM) lines and further to characterize their genetic diversity, population structure, and linkage disequilibrium. A total of 235,214 high-quality SNPs were used for different genetic analyses except for structure analysis where 11,950 SNPs were used. Analysis of molecular variance (AMOVA) based on these SNPs revealed high genetic heterozygosity among the five populations with 1% of the total genetic variation present among the subpopulations and 99% of the variation among individuals within the populations.  Population structure analysis using Bayesian-based clustering revealed that the 74 lines could be clustered into four groups. However, neighbor-joining trees indicate the lines are grouped into three major clusters.  Further analysis using principal component analyses (PCA) clustered the genotypes into five groups which are concordant with the groups based on pedigree information. Higher genetic diversity was detected in population 1 with a GD value of 0.484 and the lowest in population 5 (0.396) and overall, with a mean of 0.434. The LD pattern in the quality protein maize was investigated and we observed a relatively rapid LD decay of 3.53kb and 10.66kb at r2 =0.2 and r2= 0.1, respectively. Our findings provide important information for future Linkage mapping studies, genome-wide association analyses, and marker-assisted selective breeding of maize as well as genomic prediction-based selection in tropical germplasm.

opencc-by-4.0May 2020View details →

Ascorbic Acid Hydrolysate of Kappaphycus alvarezii as an Effective Biostimulant for Growth and Crop Yield Improvement of Hybrid Maize in Vietnam

The study researches on plant production with particular attention to the environment. It first mentions the usage of ascorbic acid for depolymerization of carrageenans from dry K. alvarezii biomass, its hydrolysate’ characteristics, and its positive influence on the hybrid maize crop in Vietnam. The study is one of the very fewer studies evaluating the plant-growth promoting activity of oligocarrageenans on maize crops. The results of the study introduce an oligocarrageenans-rich biostimulant prepared by acid hydrolysis of K. alvarezii seaweed in ascorbic acid, and positive impacts of foliar spraying of the hydrolysate (at different Mw of oligocarrageenans and concentrations) on the hybrid maize crop in Vietnam. The application of this product resulted in increases in efficiency of nutrient uptake by the plant, plant height (~20. 6%), and grain yield (by 21.3% over the control). Therefore, it is suitable for application on a large scale agriculture to reduce the chemical fertilizers used

opencc-by-4.0Jul 2020View details →

Adaptive introgression from maize has facilitated the establishment of teosinte as a noxious weed in Europe

This is the total genotyoping matrix we used for the analyses. The first line of the file contains the identifiers of the samples and each subsequent line the genotype at each SNP The first column contains the identifier of the SNPs. Genotype data for the 70 French teosintes was combined with published and available data for the following material: 40 accessions of Spanish teosintes (1), 314 accessions of parviglumis (2, 3), 332 accessions of mexicana (2, 3), 94 maize landraces from Meso- and Central-America (4) and 155 maize inbred lines from North-America and Europe (5) <ol> <li> Trtikova M, Lohn A, Binimelis R, Chapela I, Oehen B, Zemp N, Widmer A, Hilbeck A (2017) Teosinte in Europe – searching for the origin of a novel weed. Scientific Reports 7, 1560. DOI: https://doi.org/10.1038/s41598-017-01478-w </li> <li> Aguirre-Liguori JA, Tenaillon MI, Vásquez-Lobo A, Gaut BS, Jaramillo-Correa JP, Montes-Hernandez S, Souza V, Eguiarte LE (2017) Connecting genomic patterns of local adaptation and niche suitability in teosintes. Molecular Ecology 26, 4226-4240. DOI: https://doi.org/10.1111/mec.14203 </li> <li> Pyhäjärvi T, Hufford MB, Mezmouk S, Ross-Ibarra J (2013) Complex patterns of local adaptation in teosinte. Genome Biology and Evolution 5, 1594–1609. DOI: https://doi.org/10.1093/gbe/evt109 </li> <li> Takuno S, Ralph P, Swarts K, Elshire RJ, Glaubitz JC, Buckler ES, Hufford MB, Ross-Ibarra J (2015) Independent molecular basis of convergent highland adaptation in maize. Genetics 200, 1297–1312. DOI: https://doi.org/10.1534/genetics.115.17832 </li> <li> Unterseer S, Pophaly SD, Peis R, Westermeier P, Mayer M, Seidel MA, Haberer G, Mayer KFX, Ordas B, Pausch H, Tellier A, Bauer , Schön CC (2016) A comprehensive study of the genomic differentiation between temperate Dent and Flint maize. Genome Biology 17, 137. DOI: https://doi.org/10.1186/s13059-016-1009-x </li> </ol>

opencc-zeroJan 2021View details →

Data from: ZmIBH1-1 regulates plant architecture in maize

Leaf angle (LA) is a critical agronomic trait which affects grain yield through planting density in maize. Much research has been conducted in recent years to investigate the genes responsible for LA variation and a few genes were identified through map-based cloning. Here we cloned the ZmIBH1-1 gene, which is a bHLH transcription factor with both a basic binding region and a Helix-Loop-Helix domain; and qRT-PCR results showed that ZmIBH1-1 is a negative regulator of LA in maize. Histological analysis showed that the change in LA was mainly caused by differential cell wall lignification and cell elongation in the ligular region. To reveal the regulatory framework of ZmIBH1-1, we conducted RNA-Seq and DAP-Seq analysis. Overlay of the RNA-Seq and DAP-Seq results revealed 59 ZmIBH1-1 modulated target genes with annotation, and they were mainly cell wall related, cell development or hormone related genes. We have built a new regulatory model of ZmIBH1-1 gene controlling plant architecture in maize.

opencc-by-4.0Jun 2020View details →

Root multiple ion uptake kinetics data for maize NAM founders, statistical code, and RhizoFlux hardware plans

This repository contains tabular data, R statistical code, protocols, and hardware plans associated with the following manuscript: A multiple ion-uptake phenotyping platform reveals shared mechanisms that affect nutrient uptake by maize roots Marcus Griffiths, Sonali Roy, Haichao Guo, Anand Seethepalli, David Huhman, Yaxin Ge, Robert E. Sharp, Felix B. Fritschi, Larry M. York Plant Physiology; doi: <a href="https://doi.org/10.1093/plphys/kiaa080">https://doi.org/10.1093/plphys/kiaa080</a> Equipment designs.zip - Contains the hardware plans, parts lists, and experimental protocol ImageJ_macro.zip - Contains scripts to use within ImageJ to segment images to calculate leaf area Supplementary_Data.zip - Contains the actual supplemental figures and tables for the manuscript as well as RNAseq data R code & raw data.zip - Contains a single .R text file containing all the R code to generate all the figures and and supplemental figures from the include raw data files E-mail mgriffiths at danforthcenter.org or lmyork at noble.org with any questions. Version 1 was used for the preprint. Version 2 was used for the final submitted manuscript. Version 3 is the final published version.

opencc-by-4.0Oct 2023View details →

Maize Phosphorus Leaf Deficiency (MPLD) Database 224x224

Monitoring the nutritional status of crops is crucial to assessing high productivity, optimizing cost, and minimizing environmental impact. Given that nutritional deficiencies primarily manifest through visual characteristics, artificial vision stands out as a competitive choice to assess the nutritional status of individual plants.However, in order to train a supervised artificial vision system driven by convolutional neural networks (CNNs), a high amount of data, properly formatted and labeled is necessary. This work presents a curated image database to study single-nutrient deficiencies, specifically, phosphorus deficiency in maize leaves, named Maize Phosphorus Leaf Deficiency (MPLD) Database.This database is composed of 20892 samples of maize leaves placed on a withe background. Images are 224x224 pixels size, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).

opencc-zeroMar 2024View details →

Data from: field evaluation: the effect of two transgenic Bt maize events on predatory arthropods in the Huang-Huai-Hai summer maize-growing region of China

To illustrate the impact of genetically modified (GM) Bt maize on the natural enemy communities in the Huang-Huai-Hai summer maize-growing region in China, the abundance of seven common predator groups (Geocoris pallidipennis, Harmonia axyridis, lacewings, Orius sauteri, Propylea japonica, spiders, Staphylinidae) was quantitatively evaluated by planting Bt-Cry1Ab DBN9936 and Bt-Cry1Ab/Cry2Aj Ruifeng 125 events during the growing season from 2016 to 2019. A total of 11,172- 13,739 predators were observed in each varieties during four years, and the abundance of each groups on Bt maize varied between sample dates and among those enemy taxons. The shannon-Wiener diversity index from seven groups showed very similar temporal dynamics and there were not significant differences in Bt and non-Bt maize, showing that Bt maize did not disrupt the stability of predator enemy aggregation in the field. Spiders, H. axyridis, P. japonica, Lacewing, O. sauteri with positive taxon weights after using principal response curve (PRC) method, indicated that Bt maize had a positive effect on the abundances of individual taxa. All this indicating that the two Bt maize hybrids did not adversely affect predator community in the Huang-Huai-Hai summer maize-growing region of China.

opencc-by-4.0Jan 2024View details →

Figure 3 in The effects of maize pollen on development and population growth potential of Amblyseius swirskii and Cydnoseius negevi (Acari: Phytoseiidae) in subsequent generations

Figure 3. Age-stage specific reproductive value (vxj) of Amblyseius swirskii and Cydnoseius negevi reared on pollen grains of maize for 11 generations.

opencc-by-4.0Jan 2024View details →

Figure 2 in The effects of maize pollen on development and population growth potential of Amblyseius swirskii and Cydnoseius negevi (Acari: Phytoseiidae) in subsequent generations

Figure 2. Age-specific survival rate (lx), age-stage specific fecundity of female (fxj) and age-specific fecundity rate (mx) of Amblyseius swirskii and Cydnoseius negevi reared on pollen grains of maize for 11 generations.

opencc-by-4.0Jan 2024View details →

Figure 1 in The effects of maize pollen on development and population growth potential of Amblyseius swirskii and Cydnoseius negevi (Acari: Phytoseiidae) in subsequent generations

Figure 1. Age-stage specific survival rate (sxj) of Amblyseius swirskii and Cydnoseius negevi reared on pollen grains of maize for 11 generations.

opencc-zeroApr 2024View details →

Effective seed sterilization methods require optimization across maize genotypes

Studies of plant-microbe interactions using synthetic microbial communities (SynComs) often require the removal of seed-associated microbes by seed sterilization before inoculation to provide gnotobiotic growth conditions. A diversity of seed sterilization protocols have been developed in the past and have been used on different plant species with various amounts of validation. From these studies, it has become clear that each plant species requires its own optimized sterilization protocol. It has, however, so far not been tested if the same protocol works equally well for different varieties and seed sources of one plant species. We evaluated six seed sterilization protocols on two different varieties (Sugar Bun & B73) of maize. All unsterilized maize seeds showed fungal growth upon germination on filter paper, highlighting the need for a sterilization protocol. A short sterilization protocol with hypochlorite and ethanol was sufficient to prevent fungal growth on Sugar Bun germinants, however, a longer protocol with heat treatment and germination in fungicide was needed to obtain clean B73 germinants. This difference may have arisen from the effect of either genotype or seed source. We then tested the protocol that performed best for B73 on three additional maize genotypes from four sources. Seed germination rates and fungal contamination levels varied widely by genotype and geographic source of seeds. Our study shows that consideration of both variety and seed source is important when optimizing sterilization protocols and highlights the importance of including seed source information in plant-microbe interaction studies that use sterilized seeds.

opencc-by-4.0Dec 2021View details →

Data for - EU's bioethanol potential from wheat straw and maize stover and the environmental footprint of residue-based bioethanol

To reduce greenhouse gas (GHG) emissions, the European Union (EU) has targets for utilizing energy from renewable sources. By 2030, a minimum of 3.5% of energy in the EU’s transport sector should come from renewable biological sources, such as crop residues. This paper analyzed EU’s “advanced bioethanol” potential from wheat straw and maize stover and evaluated its environmental (land, water, and carbon) footprint. We differentiated between gross and net bioethanol output, the latter by subtracting the energy inputs in production. Results suggest that the annual amount of the sustainably harvestable wheat straw and maize stover is 81.9 Megatonnes (Mt) at field moisture weight (65.3 Mt as dry weight), yielding 470 PJ as gross (404 PJ as net) advanced bioethanol output. Calculated net advanced bioethanol can replace 2.95% of EU transport sector’s energy consumption. EU’s advanced bioethanol has a land footprint of 0.28 m2 MJ−1 for wheat straw and 0.18 m2 MJ−1 for maize stover. The average water footprint of advanced bioethanol is 173 L MJ−1 for wheat straw and 113 L MJ−1 for maize stover. The average carbon footprint per unit of advanced bioethanol is 19.4 and 19.6 g CO2eq MJ−1 for wheat straw and maize stover, respectively. Using advanced bioethanol can lead to emission savings, but EU’s advanced bioethanol production potential is insufficient to achieve EU’s target of a minimum share of 3.5% of advanced biofuels in the transport sector by 2030, and the associated water and land footprints are not smaller than footprints of conventional bioethanol.