Agronomy and Crop Sciences Commons^™

Nozzle Selection And Adjuvant Impact On The Efficacy Of Glyphosate And Ppo-Inhibiting Herbicide Tank-Mixtures, Jesaelen G. Moraes, Thomas R. Butts, Vitor M. Anunciato, Joe D. Luck, Wesley C. Hoffmann, Ulisses R. Antuniassi, Greg R. Kruger

Department of Agronomy and Horticulture: Faculty Publications

PPO-inhibiting herbicides in combination with glyphosate for postemergence applications is a common approach to manage glyphosate- and ALS-inhibitor-resistant weeds. PPO-inhibitors can reduce glyphosate translocation when applied in tank-mixtures, but adjuvants may be used to overcome this effect. Additionally, optimal droplet size may be affected by tank-mixtures of different herbicides and it can be crucial to herbicide efficacy. Field and greenhouse studies were conducted to investigate the impact of nozzle selection and adjuvants on weed control and interactions when applying PPO-inhibitors (fomesafen or lactofen) alone or in tank-mixture with glyphosate to five weed species using six nozzle types. Ultra-coarse droplets were …

Comparing A Mixed Model Approach To Traditional Stability Estimators For Mapping Genotype By Environment Interactions And Yield Stability In Soybean [Glycine Max (L.) Merr.], Mary M. Happ, George L. Graef, Haichuan Wang, Reka Howard, Luis Posadas, David L. Hyten

Department of Agronomy and Horticulture: Faculty Publications

Identifying genetic loci associated with yield stability has helped plant breeders and geneticists begin to understand the role and influence of genotype by environment (GxE) interactions in soybean [Glycine max (L.) Merr.] productivity, as well as other crops. Quantifying a genotype’s range of performance across testing locations has been developed over decades with dozens of methodologies available. This includes directly modeling GxE interactions as part of an overall model for yield, as well as methods which generate overall yield “stability” values from multi-environment trial data. Correspondence between these methods as it pertains to the outcomes of genome wide association studies …

Soil Erosion Modelling: A Bibliometric Analysis, Nejc Bezak, Matjǎz Mikǒs, Pasquale Borrelli, Christine Alewell, Dinesh Panday, Panos Panagos, 59 Co-Authors

Department of Agronomy and Horticulture: Faculty Publications

Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about …

Mental Model-Based Repeated Multifaceted (Mrm) Intervention Design: A Conceptual Framework For Improving Preventive Health Behaviors And Outcomes, Mazbahul G. Ahamad, Fahian Tanin

Department of Agronomy and Horticulture: Faculty Publications

Objective: Field interventions employed to improve preventive health behaviors and outcomes generally use well established approaches; however, recent studies have reported that health education and promotional interventions have little to no impact on health behaviors, especially in low- and middle-income countries. We aimed to develop a conceptual framework to improve intervention designs that would internalize these concerns and limitations.

Results: We identified three major experimental design- and implementation-related concerns associated with mental models, including the balance between the treatment and control groups, the treatment group’s willingness to adopt suggested behaviors, and the type, length, frequency, intensity, and sequence of treatments. …

Grass Bud Responses To Fire In A Semiarid Savanna System, Quinn A. Hiers, Morgan L. Treadwell, Matthew B. Dickinson, Kathleen L. Kavanagh, Alexandra G. Lodge, Heath D. Starns, Doug R. Tolleson, Dirac Twidwell, Carissa L. Wonkka, William E. Rogers

Department of Agronomy and Horticulture: Faculty Publications

Increasingly, land managers have attempted to use extreme prescribed fire as a method to address woody plant encroachment in savanna ecosystems. The effect that these fires have on herbaceous vegetation is poorly understood. We experimentally examined immediate (<24 hr) bud response of two dominant graminoids, a C₃ caespitose grass, Nassella leucotricha, and a C₄ stoloniferous grass, Hilaria belangeri, following fires of varying energy (J/m² ) in a semiarid savanna in the Edwards Plateau ecoregion of Texas. Treatments included high- and low-energy fires determined by contrasting fuel loading and a no burn (control) treatment. Belowground axillary buds were counted and their activities classified to determine immediate effects …

Effects Of Intraguild Interactions On Anticarsia Gemmatalis And Chrysodeixis Includens Larval Fitness And Behavior In Soybean, Sabrina Ongaratto, Edson Ll Baldin, Thomas E. Hunt, Debora G. Montezano, Emily A. Robinson, Maria C. Dos Santos

Department of Agronomy and Horticulture: Faculty Publications

BACKGROUND: Crop pest management requires an understanding of the complex interactions among species that potentially impact crop yield. In soybean, the velvetbean caterpillar, Anticarsia gemmatalis (Hübner), and the soybean looper, Chrysodeixis includens (Walker), are described as key pests, sharing the same feeding guild. We assessed the intraguild interactions of these species under laboratory conditions. Fitness cost study was conducted to examine the influence of competition on insect development. A video tracking system was used to evaluate behavioral parameters during larval interactions in scenarios with and without food availability. RESULTS: In the fitness cost assay, pupal weight was not significantly affected, …

Microbial Community Field Surveys Reveal Abundant Pseudomonas Population In Sorghum Rhizosphere Composed Of Many Closely Related Phylotypes, Dawn Chiniquy, Elle M. Barnes, Jinglie Zhou, Kyle Hartman, Xiaohui Li, Amy Sheflin, Ellen Marsh, Jessica Prenni, Adam M. Deutschbauer, Daniel P. Schachtman, Susannah G. Tringe

Department of Agronomy and Horticulture: Faculty Publications

While the root-associated microbiome is typically less diverse than the surrounding soil due to both plant selection and microbial competition for plant derived resources, it typically retains considerable complexity, harboring many hundreds of distinct bacterial species. Here, we report a time-dependent deviation from this trend in the rhizospheres of field grown sorghum. In this study, 16S rRNA amplicon sequencing was used to determine the impact of nitrogen fertilization on the development of the root-associated microbiomes of 10 sorghum genotypes grown in eastern Nebraska. We observed that early rhizosphere samples exhibit a significant reduction in overall diversity due to a high …

Utility Of Climatic Information Via Combining Ability Models To Improve Genomic Prediction For Yield Within The Genomes To Fields Maize Project, Diego Jarquin, Natalia De Leon, Cinta Romay, Martin Bohn, Edward S. Buckler, Ignacio Ciampitti, Jode Edwards, David Ertl, Sherry Flint-Garcia, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, David Hooker, Shawn M. Kaeppler, Joseph Knoll, Elizabeth C. Lee, Carolyn J. Lawrence-Dill, Jonathan P. Lynch, Stephen P. Moose, Seth C. Murray, Rebecca Nelson, Torbert Rocheford, James C. Schnable, Patrick S. Schnable, Margaret Smith, Nathan Springer, Peter Thomison, Mitch Tuinstra, Randall J. Wisser, Wenwei Xu, Jianming Yu, Aaron Lorenz

Department of Agronomy and Horticulture: Faculty Publications

Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and improved methods to genomic prediction are continually being developed that attempt to deal with the integration of data types beyond genomic information. Modern automated weather systems offer the opportunity to capture continuous data on a range of environmental parameters at specific field locations. In principle, this information could characterize training and target environments and enhance predictive ability by incorporating weather characteristics as part of the genotype-by-environment (G×E) interaction component in prediction models. We assessed the usefulness of including weather data variables …

Effects Of Foliar Fungicide On Yield, Micronutrients, And Cadmium In Grains From Historical And Modern Hard Winter Wheat Genotypes, Hollman Motta-Romero, Ferdinand Niyongira, Jeffrey D. Boehm Jr, Devin J. Rose

Department of Agronomy and Horticulture: Faculty Publications

Plant breeding and disease management practices have increased the grain yield of hard winter wheat (Triticum aestivum L.) adapted to the Great Plains of the United States during the last century. However, the effect of genetic gains for seed yield and the application of fungicide on the micronutrient and cadmium (Cd) concentration in wheat grains is still unclear. The objectives of this study were to evaluate the effects of fungicide application on the productivity and nutritional quality of wheat cultivars representing 80 years of plant breeding efforts. Field experiments were conducted over two crop years (2017 and 2018) with eighteen …

A Microbiome Engineering Framework To Evaluate Rhizobial Symbionts Of Legumes, Kenjiro W. Quides, Hagop S. Atamian

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Background

For well over a century, rhizobia have been recognized as effective biofertilizer options for legume crops. This has led to the widespread use of rhizobial inoculants in agricultural systems, but a recurring issue has emerged: applied rhizobia struggle to provide growth benefits to legume crops. This has largely been attributed to the presence of soil rhizobia and has been termed the ‘rhizobial competition problem.’

Scope

Microbiome engineering has emerged as a methodology to circumvent the rhizobial competition problem by creating legume microbiomes that do not require exogenous rhizobia. However, we highlight an alternative implementation of microbiome engineering that focuses …

Cultivating Hops For Cone Production In Nebraska, Stacy A. Adams

Department of Agronomy and Horticulture: Faculty Publications

The hop cone is the primary product of agronomic value when growing Humulus lupulus L. (common hop). Cones are modified stem and leaf structures that protect the female flower cluster that forms chemical compounds important for flavoring beer and other uses. The majority of hops in the United States (~96%) is grown in the states of Washington, Oregon, and Idaho. Hops can be grown in very diverse climates, but it is the climatic consistency of the Pacific NW that provides product consistency and reasoning commercial hops production is prevalent in the region. Hops is a niche crop outside of the …

Novel And Transgressive Salinity Tolerance In Recombinant Inbred Lines Of Rice Created By Physiological Coupling-Uncoupling And Network Rewiring Effects, Isaiah C.M. Pabuayon, Ai Kitazumi, Kevin R. Cushman, Rakesh Kumar Singh, Glenn B. Gregorio, Balpreet Dhatt, Masoud Zabet-Moghaddam, Harkamal Walia, Benildo G. De Los Reyes

Department of Agronomy and Horticulture: Faculty Publications

The phenomenon of transgressive segregation, where a small minority of recombinants are outliers relative to the range of parental phenotypes, is commonly observed in plant breeding populations. While this phenomenon has been attributed to complementation and epistatic effects, the physiological and developmental synergism involved have not been fully illuminated by the QTL mapping approach alone, especially for stress adaptive traits involving highly complex interactions. By systems-level profiling of the IR29 × Pokkali recombinant inbred population of rice, we addressed the hypothesis that novel salinity tolerance phenotypes are created by reconfigured physiological networks due to positive or negative coupling-uncoupling of developmental …

Evaluation Of Soil Moisture Sensing Technologies In Silt Loam And Loamy Sand Soils: Assessment Of Performance, Temperature Sensitivity, And Site- And Sensor-Specific Calibration Functions, K. Sharma, Sibel Irmak, M. S. Kukal, M. C. Vuran, Amit J. Jhala, Xia Qiao

Department of Agronomy and Horticulture: Faculty Publications

Reliable soil moisture information is vital for optimal irrigation management, farm-level agronomic decision-making, hydrologic studies, and cropping systems modeling. A wide range of soil moisture sensing technologies is commercially available, but their performance must be evaluated for diverse conditions of use. In this research, we investigated nine soil moisture sensors based on time-domain reflectometry, capacitance, and electrical resistance principles in production field conditions with two installation orientations, i.e., vertical (V) and horizontal (H), in two soils (silt loam and loamy sand) and two growing seasons (2017 and 2018). Performance parameters deduced from the 2017 datasets revealed that sensor type and …

Corn Residue Baling And Grazing Impacts On Corn Yield Under Irrigated Conservation Tillage Systems, Sabrina J. Ruis, Charles Burr, Humberto Blanco-Canqui, Brian Olson, Mark Reiman, Daran Rudnick, Johnna Baller, Kathryn J. Hanford

Department of Agronomy and Horticulture: Faculty Publications

Crop residue grazing or baling is common in the western Corn Belt. However, its impacts on subsequent crop yields under different irrigation levels and tillage systems are unclear. We investigated the impacts of corn (Zea mays L.) residue baling and cattle grazing on soil compaction, water content, and corn yield under full and limited irrigated no-till in Nebraska during three years. In Years 2 and 3, an additional tillage treatment (strip till) was implemented to evaluate its effects on grain yield under the above treatments. Residue removal effects on compaction and water content did not vary with irrigation level. …

Seedextractor: An Open-Source Gui For Seed Image Analysis, Feiyu Zhu, Puneet Paul, Waseem Hussain, Kyle Wallman, Balpreet K. Dhatt, Jaspreet Sandhu, Larissa Irvin, Gota Morota, Hongfeng Yu, Harkamal Walia

Department of Agronomy and Horticulture: Faculty Publications

Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open source graphical user interface (GUI) software, SeedExtractor that determines seed size and shape (including area, perimeter, length, width, circularity, and centroid), and seed color with capability to process a large number of images in a time-efficient manner. In this context, our application takes 2 s for analyzing an image, i.e., significantly less compared to the other tools. As this software is open-source, it …

Soil Properties Limiting Vegetation Establishment Along Roadsides, Shad D. Mills, Martha Mamo, Sabrina J. Ruis, Humberto Blanco-Canqui, Walter Schacht, Tala Awada, Xu Li, Pamela Sutton

Department of Agronomy and Horticulture: Faculty Publications

Roadside vegetation provides a multitude of ecosystem services, including pollutant remediation, runoff reduction, wildlife habitat, and aesthetic scenery. Establishment of permanent vegetation along paved roads after construction can be challenging, particularly within 1 m of the pavement. Adverse soil conditions could be one of the leading factors limiting roadside vegetation growth. In this study, we assessed soil physical and chemical properties along a transect perpendicular to the road at six microtopographic positions (road edge, shoulder, side slope, ditch, backslope, and field edge) along two highway segments near Beaver Crossing and Sargent, NE. At the Beaver Crossing site, Na concentration was …

Intervention Of Climate‐Smart Practices In Wheat Under Rice‐ Wheat Cropping System In Nepal, Jamma Jaya Gairhe, Mandeep Adhikari, Deepak Ghimire, Arun Kjatri-Chhetri, Dinesh Panday

Department of Agronomy and Horticulture: Faculty Publications

Besides a proper agronomic management followed by Nepalese farmers, wheat (Triticum aestivum L.) production has been severely affected by changing climate. There are many interventions, including climate‐smart practices, to cope with this situation and possibly enhance crop and soil productivity. Field experiments were set up in a randomized complete block design with six treatments (TRT) with four replications in three locations (LOC) during wheat‐growing seasons in Nepal from 2014 to 2016. Treatments included (i) Controlled Practice (CP), (ii) Improved Low (IL), (iii) Improved High (IH), (iv) Climate Smart Agriculture Low (CSAL), (v) Climate Smart Agriculture Medium (CSAM), and (vi) Climate …

A Bumper Crop Of Snps In Soybean Through High-Density Genotyping-By-Sequencing (Hd-Gbs), Davoud Torkamaneh, Jerome Laroche, Brian Boyle, David L. Hyten, Fancois Belzile

Department of Agronomy and Horticulture: Faculty Publications

No abstract provided.

Genome-Wide Discovery Of Natural Variation In Pre-Mrna Splicing And Prioritising Causal Alternative Splicing To Salt Stress Response In Rice, Huihui Yu, Qian Du, Malachy Campbell, Bin Yu, Harkamal Walia, Chi Zhang

Department of Agronomy and Horticulture: Faculty Publications

Pre-mRNA splicing is an essential step for the regulation of gene expression. In order to specifically capture splicing variants in plants for genome-wide association studies (GWAS), we developed a software tool to quantify and visualise Variations of Splicing in Population (VASP). VASP can quantify splicing variants from short-read RNA-seq datasets and discover genotype-specific splicing (GSS) events, which can be used to prioritise causal pre-mRNA splicing events in GWAS. We applied our method to an RNA-seq dataset with 328 samples from 82 genotypes from a rice diversity panel exposed to optimal and saline growing conditions. In total, 764 significant GSS events …

Gwas Revealed Effect Of Genotype × Environment Interactions For Grain Yield Of Nebraska Winter Wheat, Shamseldeen Eltaher, P Stephen Baenziger, Vikas Belamkar, Hamdy A. Emara, Ahmed A. Nower, Khaled F.M. Salem, Ahmad M. Alqudah, Ahmed Sallam

Department of Agronomy and Horticulture: Faculty Publications

Background: Improving grain yield in cereals especially in wheat is a main objective for plant breeders. One of the main constrains for improving this trait is the G × E interaction (GEI) which affects the performance of wheat genotypes in different environments. Selecting high yielding genotypes that can be used for a target set of environments is needed. Phenotypic selection can be misleading due to the environmental conditions. Incorporating information from phenotypic and genomic analyses can be useful in selecting the higher yielding genotypes for a group of environments. Results: A set of 270 F_3:6 wheat genotypes in the …

Seed-Shattering Phenology At Soybean Harvest Of Economically Important Weeds In Multiple Regions Of The United States. Part 2: Grass Species, Lauren M. Schwartz-Lazaro, Lovreet S. Shergill, Jeffrey A. Evans, Muthukumar V. Bagavathiannan, Shawn C. Beam, Mandy D. Bish, Jason A. Bond, Kevin W. Bradley, William S. Curran, Adam S. Davis, Wesley J. Everman, Michael L. Flessner, Steven C. Haring, Nicholas R. Jordan, Nicholas E. Korres, John L. Lindquist, Jason K. Norsworthy, Tameka L. Sanders, Larry E. Steckel, Mark J. Vangessel, Blake Young, Steven B. Mirsky

Department of Agronomy and Horticulture: Faculty Publications

Seed shatter is an important weediness trait on which the efficacy of harvest weed seed control (HWSC) depends. The level of seed shatter in a species is likely influenced by agroecological and environmental factors. In 2016 and 2017, we assessed seed shatter of eight economically important grass weed species in soybean [Glycine max (L.) Merr.] from crop physiological maturity to 4 wk after maturity at multiple sites spread across 11 states in the southern, northern, and mid-Atlantic United States. From soybean maturity to 4 wk after maturity, cumulative percent seed shatter was lowest in the southern U.S. regions and increased …

Coal Char Effects On Soil Chemical Properties And Maize Yields In Semi-Arid Region, Dinesh Panday, Maysoon M. Mikha, Xiaocun Sun, Bijesh Maharjan

Department of Agronomy and Horticulture: Faculty Publications

Soil amendments with high carbon (C) content can be effective in semi-arid regions where soils are characterized by low C. A field study was conducted in 2016–2018 to evaluate the effect of char on soil chemical properties and irrigated maize (Zea mays L.) yields in sandy loam fertilized with urea or composted manure. Carbon-rich char used was a product of coal combustion residue from a local factory in western Nebraska. The experiment was arranged in a split-plot randomized complete block design in four replications with char (0, 6.7, 13.4, 20.1, and 26.8Mg C ha⁻¹) as main and …

A Comparison Of Media To Determine Optimal Growth In Aquaponics: Prg Virtual Showcase January 2021, Rachel L. Fogle, Andrea Nagy, Claribel Asare, Steven Berry, Jordan Brown, Aquila Durham-Lewis

Harrisburg University Presidential Research Grants

No abstract provided.

James B Beard: The Father Of Contemporary Turfgrass Science, G.K. Stahnke, P.E. Rieke, Robert C. Shearman, Roch E. Gaussoin, David Kopec

Department of Agronomy and Horticulture: Faculty Publications

James B Beard (24 Sept 1935 to 8 May 2018) can rightly be considered the “Father” of contemporary turfgrass science. During his career, he was known for setting a standard that provided the foundation for turfgrass science through his thorough approach to research, teaching, mentoring and communications. The books he published outlined a vision for an evolving scientific discipline. He trained and mentored >45 domestic and international doctoral and master students and numerous post-doctoral trainees, who in turn continued to raise the quality of contemporary turfgrass science in the USA and internationally. He led the effort to change the name …

Continuous In Situ Soil Nitrate Sensors: The Importance Of High-Resolution Measurements Across Time And A Comparison With Salt Extraction-Based Methods, Yunjiao Zhu, Yuncong Chen, Md. Azahar Ali, Liang Dong, Xinran Wang, Sotirios V. Archontoulis, James Schnable, Michael J. Castellano

Department of Agronomy and Horticulture: Faculty Publications

Soil NO₃^– affects microbial processes, plant productivity, and environmental N losses. However, the ability to measure soil NO₃^– is limited by labor-intensive sampling and laboratory analyses. Hence, temporal variation in soil solution NO₃^– concentration is poorly understood. We evaluated a new potentiometric sensor that continuously measures soil solution NO₃^– concentration with unprecedented specificity due to a novel membrane that serves as a barrier to interfering anions. First, we compared sensor and salt extraction-based measurements of soil NO₃^– in well-controlled laboratory conditions. Second, using 60 d of in situ soil NO …

Abrasive Weeding As A Vehicle For Precision Fertilizer Management In Organic Vegetable Production, Tran Kim Ngan Luong, Frank Forcella, Sharon Clay, Michael S. Douglass, Samuel E. Wortman

Department of Agronomy and Horticulture: Faculty Publications

Abrasive weeding is a nonchemical weed control tactic that uses small, gritty materials propelled with compressed air to destroy weed seedlings. Organic fertilizers have been used successfully as abrasive grits to control weeds, but the goal for this study was to explore the effects of fertilizer grit, application rates, and background soil fertility on weeds, plant available nitrogen (N) uptake, and crop yield. Field trials were conducted in organic ‘Carmen’ sweet red pepper (Capsicum annuum) and organic ‘Gypsy’ broccoli (Brassica oleracea var. italica) and treatments included organic fertilizer grit (8N–0.9P–3.3K vs. 3N–3.1P–3.3K), grit application rates (low …

Development Of Mping-Based Activation Tags For Crop Insertional Mutagenesis, Alexander Johnson, Edward Mcassey, Stephanie Diaz, Jacod Reagin, Priscilla S. Redd, Daymond R. Parrilla, Hanh Nguyen, Adrian Stec, Lauren A.L. Mcdaniel, Thomas E. Clemente, Robert M. Stupar, Wayne A. Parrott, C. Nathan Hancock

Department of Agronomy and Horticulture: Faculty Publications

Modern plant breeding increasingly relies on genomic information to guide crop im- provement. Although some genes are characterized, additional tools are needed to effectively identify and characterize genes associated with crop traits. To address this need, the mPing element from rice was modified to serve as an activation tag to in- duce expression of nearby genes. Embedding promoter sequences in mPing resulted in a decrease in overall transposition rate; however, this effect was negated by using a hyperactive version of mPing called mmPing20. Transgenic soybean events carrying mPing-based activation tags and the appropriate transposase expression cassettes showed evidence of transposition. …

Identification And Utilization Of Genetic Determinants Of Trait Measurement Errors In Image-Based, High-Throughput Phenotyping, Yan Zhou, Aaron Kusmec, Seyed Vahid Mirnezami, Lakshmi Attigala, Srikant Srinivasan, Talukder Zaki Jubery, James Schnable, Maria G. Salas Fernandez, Baskar Ganapathysubramanian, Patrick S. Schnable

Department of Agronomy and Horticulture: Faculty Publications

The accuracy of trait measurements greatly affects the quality of genetic analyses. During automated phenotyping, trait measurement errors, i.e., differences between automatically extracted trait values and ground truth, are often treated as random effects that can be controlled by increasing population sizes and/or replication number. By contrast, there is some evidence that trait measurement errors may be partially under genetic control. Consistent with this hypothesis, we observed substantial non-random, genetic contributions to trait measurement errors for five maize (Zea mays) tassel traits collected using an image-based phenotyping platform. The phenotyping accuracy varied according to whether a tassel exhibited …

Household Smoke-Exposure Risks Associated With Cooking Fuels And Cooking Places In Tanzania: A Cross-Sectional Analysis Of Demographic And Health Survey Data, Mazbahul G. Ahamad, Fahian Tanin, Nawaraji Shrestha

Department of Agronomy and Horticulture: Faculty Publications

Household smoke-exposure risk (SER) can be defined through the assessment of cooking fuels (smoke and no smoke-producing) and cooking places (indoor and outdoor) related information, which represent different levels of household air pollution. This study aimed to explore the prevalence and geographical variations in smoke-exposure risks (SERs) associated with indoor and outdoor cooking practices and use of smoke-producing and non-smoke-producing cooking fuels in Tanzania. We further investigated the social and spatial features associated with household SERs. We defined an indicator variable, the household SER, using country-level, cross-sectional data on cooking fuels and cooking places obtained from the 2015–2016 Tanzania Demographic …

Officially Confirmed Covid-19 And Unreported Covid-19–Like Illness Death Counts: An Assessment Of Reporting Discrepancy In Bangladesh, Mazbahul G. Ahamad, Fahian Tanin, Byomkesh Talukder, Monir Ahmed

Department of Agronomy and Horticulture: Faculty Publications

Reporting discrepancies between officially confirmed COVID-19 death counts and unreported COVID- 19–like illness (CLI) death counts have been evident across the world, including Bangladesh. Publicly available data were used to explore the differences between confirmed COVID-19 death counts and deaths with possible COVID-19 symptoms between March 2, 2020 and August 22, 2020. Unreported CLI death counts totaled more than half of the confirmed COVID-19 death counts during the study period. However, the reporting authority did not consider CLI deaths, which might produce incomplete and unreliable COVID-19 data and respective mortality rates. All deaths with possible COVID-19 symptoms need to be …