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From Compost Carryover To Compost Legacy: Intercropping And Compost Effects On Yield, Quality, And Soil Health In Organic Dryland Wheat, Jennifer Reeve 2019 Utah State University

From Compost Carryover To Compost Legacy: Intercropping And Compost Effects On Yield, Quality, And Soil Health In Organic Dryland Wheat, Jennifer Reeve

Funded Research Records

No abstract provided.


An Agent-Based Model Of An Endangered Florida Tillansia Utriculata Population, Erin N. Bodine, Alexandra Campbell, Anna C. Kula 2019 Rhodes College

An Agent-Based Model Of An Endangered Florida Tillansia Utriculata Population, Erin N. Bodine, Alexandra Campbell, Anna C. Kula

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


A Demographic Model Of The Endangered Florida Native Tillandsia Utriculata, Erin N. Bodine, Zoe S. Brookover, Alexandra Campbell, Brian D. Christman, Sydney L. Davis 2019 Rhodes College

A Demographic Model Of The Endangered Florida Native Tillandsia Utriculata, Erin N. Bodine, Zoe S. Brookover, Alexandra Campbell, Brian D. Christman, Sydney L. Davis

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Silicon Fertilization In Rice And Wheat: Dynamics With Trace Elements And Effect Of Silicate Slag Granular Size On The Release Pattern Of Monosilicic Acid In Soil, Wooiklee S. Paye 2019 Louisiana State University and Agricultural and Mechanical College

Silicon Fertilization In Rice And Wheat: Dynamics With Trace Elements And Effect Of Silicate Slag Granular Size On The Release Pattern Of Monosilicic Acid In Soil, Wooiklee S. Paye

LSU Doctoral Dissertations

Studies were conducted to evaluate the impact of silicon (Si) fertilization on the uptake of harmful trace elements in Louisiana rice production system, and document the effect of silicate slag granular size on its ability to supply Si in wheat. The influence of silicate slag and lime on the uptake and translocation of harmful trace elements in rice grain was determined. Results showed that both slag and lime had similar effects on pH at five of the nine sites investigated. Soil Si was significantly (P <0.001) increased with application of silicate slag at all sites. Lime and silicate slag had no effect on the concentration of trace elements in soil. However, increasing Si rates were negatively correlated with arsenic (As) and cadmium (Cd) concentration in rice grain. The release pattern of monosilicic acid (H4SiO4) from wollastonite and silicate slag was compared in a wheat greenhouse study ...


Heterodera Glycines Utilizes Promiscuous Spliced Leaders And Demonstrates A Unique Preference For A Species-Specifc Spliced Leader Over C. Elegans Sl1, Stacey N. Barnes, Rick E. Masonbrink, Tom R. Maier, Arun S. Seetharam, Anoop S. Sindhu, Andrew J. Severin, Thomas J. Baum 2019 Iowa State University

Heterodera Glycines Utilizes Promiscuous Spliced Leaders And Demonstrates A Unique Preference For A Species-Specifc Spliced Leader Over C. Elegans Sl1, Stacey N. Barnes, Rick E. Masonbrink, Tom R. Maier, Arun S. Seetharam, Anoop S. Sindhu, Andrew J. Severin, Thomas J. Baum

Thomas Baum

Spliced leader trans-splicing (SLTS) plays a part in the maturation of pre-mRNAs in select species across multiple phyla but is particularly prevalent in Nematoda. The role of spliced leaders (SL) within the cell is unclear and an accurate assessment of SL occurrence within an organism is possible only after extensive sequencing data are available, which is not currently the case for many nematode species. SL discovery is further complicated by an absence of SL sequences from high-throughput sequencing results due to incomplete sequencing of the 5'-ends of transcripts during RNA-seq library preparation, known as 5'-bias. Existing datasets and ...


The Effects Of Citric Acid On Ph And Nutrient Uptake In Wheatgrass (Triticum Aestivum), Cristina Tusei 2019 Humboldt State University

The Effects Of Citric Acid On Ph And Nutrient Uptake In Wheatgrass (Triticum Aestivum), Cristina Tusei

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Humboldt State University

No abstract provided.


Responses Of Bouteloua Eriopoda And Soil Stability To Precipitation Extremes In Chihuahuan Desert Grassland, Laura Kay Sadorf 2019 Humboldt State University

Responses Of Bouteloua Eriopoda And Soil Stability To Precipitation Extremes In Chihuahuan Desert Grassland, Laura Kay Sadorf

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Humboldt State University

No abstract provided.


Steenbergen, Joel (Fa 1325), Manuscripts & Folklife Archives 2019 Western Kentucky University

Steenbergen, Joel (Fa 1325), Manuscripts & Folklife Archives

FA Finding Aids

Finding aid and full-text scan of paper (Click on “Additional Files” below) for Folklife Archives Project 1325. Student folk studies project titled “Ginseng: The Wonder of the World,” about the history and folklore of ginseng in the United States, its uses, the harvesting process and tools.


Dyer, Susan Joan (Spear) (Fa 1326), Manuscripts & Folklife Archives 2019 Western Kentucky University

Dyer, Susan Joan (Spear) (Fa 1326), Manuscripts & Folklife Archives

FA Finding Aids

Finding aid and full-text scan of paper (Click on “Additional Files” below) for Folklife Archives Project FA 1326. Student folk studies project titled “’Sengin’: Cultivation of an Endangered Species” about growing and harvesting ginseng in Williamson County, Tennessee. Photos include the growing stages of the ginseng plant, the harvesting process, and related tools.


Forage News [2019-09], University of Kentucky Department of Plant and Soil Sciences 2019 University of Kentucky

Arkansas Wheat Cultivar Performance Tests 2018-2019, R. E. Mason, R. G. Miller, D. E. Moon, J. P. Kelley 2019 University of Arkansas, Fayetteville

Arkansas Wheat Cultivar Performance Tests 2018-2019, R. E. Mason, R. G. Miller, D. E. Moon, J. P. Kelley

Research Series

Wheat cultivar performance tests are conducted each year in Ark- ansas by the University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station, Department of Crop, Soil and Environmental Sciences. The tests provide information to companies developing cultivars and marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating cultivar recommendations for small-grain producers. The tests are conducted at the Northeast Research and Extension Center at Keiser, the Vegetable Substation near Kibler, the Lon Mann Cotton Research Station near Marianna, the Newport Extension Center near Newport, the Rohwer Research Station near Rohwer, the Pine ...


Statistical And Machine Learning Methods Evaluated For Incorporating Soil And Weather Into Corn Nitrogen Recommendations, Curtis J. Ransom, Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabián G. Fernández, David W. Franzen, Carrie A. M. Laboski, D. Brenton Myers, Emerson D. Nafziger, John E. Sawyer, John F. Shanahan 2019 University of Missouri

Statistical And Machine Learning Methods Evaluated For Incorporating Soil And Weather Into Corn Nitrogen Recommendations, Curtis J. Ransom, Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabián G. Fernández, David W. Franzen, Carrie A. M. Laboski, D. Brenton Myers, Emerson D. Nafziger, John E. Sawyer, John F. Shanahan

Agronomy Publications

Nitrogen (N) fertilizer recommendation tools could be improved for estimating corn (Zea mays L.) N needs by incorporating site-specific soil and weather information. However, an evaluation of analytical methods is needed to determine the success of incorporating this information. The objectives of this research were to evaluate statistical and machine learning (ML) algorithms for utilizing soil and weather information for improving corn N recommendation tools. Eight algorithms [stepwise, ridge regression, least absolute shrinkage and selection operator (Lasso), elastic net regression, principal component regression (PCR), partial least squares regression (PLSR), decision tree, and random forest] were evaluated using a dataset containing ...


Systematics And Ecology Of The Andean Neotropical Schefflera (Araliaceae) With Globose Capitate Inflorescences And Use Of Niche Modeling For Iucn Red List Threat Assessment Of Plerandra Elegantissima (Araliaceae), Carlos V. Rodrigues 2019 The Graduate Center, City University of New York

Systematics And Ecology Of The Andean Neotropical Schefflera (Araliaceae) With Globose Capitate Inflorescences And Use Of Niche Modeling For Iucn Red List Threat Assessment Of Plerandra Elegantissima (Araliaceae), Carlos V. Rodrigues

All Dissertations, Theses, and Capstone Projects

Since the end of the 19thcentury, ScheffleraJ.R. Forst. & G. Forst.has been recognized as the largest and most wide-ranging genus of Araliaceae. It can be found throughout the humid tropics and subtropics, is not particularly diverse at low elevations in the warmest regions, and a few taxa extend into warm-temperate areas. As currently circumscribed, the genus contains 605 described species and many hundreds more awaiting formal description. However, a succession of phylogenetic studies have confirmed that Schefflera, as currently circumscribed,is polyphyletic, comprising five geographically centered lineages scattered across the phylogenetic tree of Araliaceae, and informally ...


Plant Disease Identification Using Explainable 3d Deep Learning On Hyperspectral Images, Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian 2019 Iowa State University

Plant Disease Identification Using Explainable 3d Deep Learning On Hyperspectral Images, Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

Background

Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained in hyperspectral data cubes makes deep learning based identification of plant diseases a natural fit. Here, we deploy a novel 3D deep convolutional neural network (DCNN) that directly assimilates the hyperspectral data. Furthermore, we interrogate the learnt model to produce physiologically meaningful explanations. We focus on an economically important disease, charcoal rot, which is a soil borne fungal disease that affects the yield of soybean crops worldwide.

Results

Based on hyperspectral imaging of inoculated and mock-inoculated stem images, our 3D ...


Characterizing The Soil Microbiome And Quantifying Antibiotic Resistance Gene Dynamics In Agricultural Soil Following Swine Cafo Manure Application, Edward Lopatto, Jinlyung Choi, Alfredo Colina, Lanying Ma, Adina Howe, Shannon Hinsa-Leasure 2019 Grinnell College

Characterizing The Soil Microbiome And Quantifying Antibiotic Resistance Gene Dynamics In Agricultural Soil Following Swine Cafo Manure Application, Edward Lopatto, Jinlyung Choi, Alfredo Colina, Lanying Ma, Adina Howe, Shannon Hinsa-Leasure

Adina Howe

As agriculture industrializes, concentrated animal feeding operations (CAFOs) are becoming more common. Feces from CAFOs is often used as fertilizer on fields. However, little is known about the effects manure has on the soil microbiome, which is an important aspect of soil health and fertility. In addition, due to the subtherapeutic levels of antibiotics necessary to keep the animals healthy, CAFO manure has elevated levels of antibiotic resistant bacteria. Using 16s rRNA high-throughput sequencing and qPCR, this study sought to determine the impact of swine CAFO manure application on both the soil microbiome and abundance of select antibiotic resistance genes ...


Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis 2019 Iowa State University

Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis

Mohsen Shahhosseini

Pre-season prediction of crop production outcomes such as grain yields and N losses can provide insights to stakeholders when making decisions. Simulation models can assist in scenario planning, but their use is limited because of data requirements and long run times. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of five machine learning (ML) algorithms as meta-models for a cropping systems simulator (APSIM) to inform future decision-support tool development. We asked: 1) How well do ML meta-models predict maize yield and N losses using pre-season information? 2) How many data ...


Sheet‐Extruded Films From Blends Of Hydroxypropylated And Native Corn Starches, And Their Characterization, Hee-Young Kim, Buddhi P. Lamsal, Jay-lin Jane, David A. Grewell 2019 Iowa State University

Sheet‐Extruded Films From Blends Of Hydroxypropylated And Native Corn Starches, And Their Characterization, Hee-Young Kim, Buddhi P. Lamsal, Jay-Lin Jane, David A. Grewell

Jay-Lin Jane

Sheet‐extruded films from the blends of hydroxypropylated normal corn starch (HP) and native normal corn starch (NS) at weight ratios of 100:0, 90:10, 70:30, 50:50, 30:70, and 0:100 were prepared and characterized. Glycerol and water were added as plasticizers at 11 and 27% starch weight, respectively. The highest tensile strength (TS) and longest elongation to break (EB) for dry films were observed at 70:30 HP: NS ratio, which was 25.76 MPa, and 3.97%, respectively. However, TS and EB of this 70:30 blend extruded starch film exhibited low resistance upon ...


Metnet: Systems Biology Tools For Arabidopsis, Eve Syrkin Wurtele, Ling Li, Dan Berleant, Dianne Cook, Julie A. Dickerson, Jing Ding, Heike Hofmann, Michael Lawrence, Eun-kyung Lee, Jie Li, Wieslawa Mentzen, Leslie Miller, Basil J. Nikolau, NIck Ransom, Yingjun Wang 2019 Iowa State University

Metnet: Systems Biology Tools For Arabidopsis, Eve Syrkin Wurtele, Ling Li, Dan Berleant, Dianne Cook, Julie A. Dickerson, Jing Ding, Heike Hofmann, Michael Lawrence, Eun-Kyung Lee, Jie Li, Wieslawa Mentzen, Leslie Miller, Basil J. Nikolau, Nick Ransom, Yingjun Wang

Ling Li

MetNet (http://metnetdb.org) is an emerging open-source software platform for exploration of disparate experimental data types and regulatory and metabolic networks in the context of Arabidopsis systems biology. The MetNet platform features graph visualization, interactive displays, graph theoretic computations for determining biological distances, a unique multivariate display and statistical analysis tool, graph modeling using the open source statistical analysis language, R, and versatile text mining. The use of these tools is illustrated with data from the bio1 mutant of Arabidopsis.


Regenerating Agricultural Landscapes With Perennial Groundcover For Intensive Crop Production, Kenneth J. Moore, Robert P. Anex, Amani E. Elobeid, Shuizhang Fei, Cornelia B. Flora, A. Susana Goggi, Keri L. Jacobs, Prashant Jha, Amy L. Kaleita, Douglas L. Karlen, David A. Laird, Andrew W. Lenssen, Thomas Lubberstedt, Marshall D. McDaniel, D. Raj Raman, Sharon L. Weyers 2019 Iowa State University

Regenerating Agricultural Landscapes With Perennial Groundcover For Intensive Crop Production, Kenneth J. Moore, Robert P. Anex, Amani E. Elobeid, Shuizhang Fei, Cornelia B. Flora, A. Susana Goggi, Keri L. Jacobs, Prashant Jha, Amy L. Kaleita, Douglas L. Karlen, David A. Laird, Andrew W. Lenssen, Thomas Lubberstedt, Marshall D. Mcdaniel, D. Raj Raman, Sharon L. Weyers

Andrew W. Lenssen

The Midwestern U.S. landscape is one of the most highly altered and intensively managed ecosystems in the country. The predominant crops grown are maize (Zea mays L.) and soybean [Glycine max (L.) Merr]. They are typically grown as monocrops in a simple yearly rotation or with multiple years of maize (2 to 3) followed by a single year of soybean. This system is highly productive because the crops and management systems have been well adapted to the regional growing conditions through substantial public and private investment. Furthermore, markets and supporting infrastructure are highly developed for both crops. As maize ...


Harvesting Fertilized Rye Cover Crop: Simulated Revenue, Net Energy, And Drainage Nitrogen Loss, R. W. Malone, J. F. Obrycki, Douglas L. Karlen, T. C. Kaspar, D. B. Jaynes, T. B. Parkin, S. H. Lence, G. W. Feyereisen, Q. X. Fang, T. L. Richard, K. Gillette 2019 Iowa State University

Harvesting Fertilized Rye Cover Crop: Simulated Revenue, Net Energy, And Drainage Nitrogen Loss, R. W. Malone, J. F. Obrycki, Douglas L. Karlen, T. C. Kaspar, D. B. Jaynes, T. B. Parkin, S. H. Lence, G. W. Feyereisen, Q. X. Fang, T. L. Richard, K. Gillette

Douglas L Karlen

Harvesting fertilized rye (Secale cereale L.) cover crop has been suggested as a method to increase producer revenue and biofuel feedstock production, but drainage N loss impacts are currently unknown. Using the tested Root Zone Water Quality Model (RZWQM) across several N rates, spring application of 120 kg N ha-1 prior to winter rye harvest reduced drainage N loss by 54% compared with no cover crop and by 18% compared with planted rye that was neither fertilized nor harvested. Estimates of producer revenue and net energy were also positive, with 8.3 Mg ha-1 of harvested rye biomass ...


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