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36,528 full-text articles. Page 3 of 703.

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

Douglas L Karlen

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 ...


Future Prospects For Corn As A Biofuel Crop, Kenneth J. Moore, Douglas L. Karlen, Kendall R. Lamkey 2019 Iowa State University

Future Prospects For Corn As A Biofuel Crop, Kenneth J. Moore, Douglas L. Karlen, Kendall R. Lamkey

Douglas L Karlen

Ethanol production from corn grain has increased signifi cantly during the past ten years in the US. This increase was driven by government policy guided by the Renewable Fuel Standard (RFS) and embodied in the Volumetric Ethanol Excise Tax Credit and other legislation created to promote a biofuels industry. As corn grain ethanol production approaches the target set out in the RFS, the industry is looking to develop capacity for producing advanced biofuels, primarily from agricultural wastes and dedicated energy crops. The residues remaining following corn harvest have been identifi ed as a voluminous and readily available feedstock for advanced ...


Reducing Agriculture's Contribution To Nitrate Contamination Of Surface Waters, Dana L. Dinnes, Cynthia A. Cambardella, Thomas S. Colvin, Daniel B. Jaynes, Douglas L. Karlen 2019 U.S. Department of Agriculture

Reducing Agriculture's Contribution To Nitrate Contamination Of Surface Waters, Dana L. Dinnes, Cynthia A. Cambardella, Thomas S. Colvin, Daniel B. Jaynes, Douglas L. Karlen

Douglas L Karlen

One of the most prevalent environmental issues throughout the Midwest is nitrate (N03) contamination of surface waters. Non-point source pollution resulting from nitrogen (N) fertilizer use on artificially drained agricultural land has been identified as a major contributor to this problem. High levels of nitratenitrogen (N03-N) in water supplies pose risks to humans and livestock (Tyson et. al., 1992), and has cost some communities millions of dollars for N03 removal. The city of Des Moines, Iowa alone has spent in excess of 5.3 million dollars, not including labor costs, for nitrate treatment of its drinking waters from 1992-1996 (Graham ...


An Evaluation Of Soil Survey Crop Yield Interpretations For Two Central Iowa Farms, A. L. Steinwand, D. L. Karlen, T. E. Fenton 2019 Iowa State University

An Evaluation Of Soil Survey Crop Yield Interpretations For Two Central Iowa Farms, A. L. Steinwand, D. L. Karlen, T. E. Fenton

Douglas L Karlen

This study was conducted on four adjacent 16-ha (40-ac) fields within the Clarion-Nicollet-Webster soil association to (1) determine if crop yield interpretations derived from 1:15840 soil survey maps could be used for developing field-scale management plans: and (2) to determine if soils in adjacent fields were derived using a computer-based Soil Information System (SIS) and compared with measured yields. Soil map units in all four fields were taxonomically variable, but this did not affect expected crop yields. Average expected and measured corn and soybean yields agreed within 9 and 12% for conentional management at the field-scale. We conclude that ...


An Evaluation Of Soil Survey Crop Yield Interpretations For Two Central Iowa Farms, A. L. Steinwand, D. L. Karlen, T. E. Fenton 2019 Iowa State University

An Evaluation Of Soil Survey Crop Yield Interpretations For Two Central Iowa Farms, A. L. Steinwand, D. L. Karlen, T. E. Fenton

Douglas L Karlen

This study was conducted on four adjacent 16-ha (40-ac) fields within the Clarion-Nicollet-Webster soil association to (1) determine if crop yield interpretations derived from 1:15840 soil survey maps could be used for developing field-scale management plans: and (2) to determine if soils in adjacent fields were derived using a computer-based Soil Information System (SIS) and compared with measured yields. Soil map units in all four fields were taxonomically variable, but this did not affect expected crop yields. Average expected and measured corn and soybean yields agreed within 9 and 12% for conentional management at the field-scale. We conclude that ...


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

D. Raj Raman

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 ...


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

Amy L. Kaleita

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 ...


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

Mechanical Engineering Publications

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 ...


Alteration Of Tobacco Alkaloid Content Through Modification Of Specific Cytochrome P450 Genes, Ralph E. Dewey, Balazs Siminszky, Steven W. Bowen, Lily Gavilano 2019 University of Kentucky

Alteration Of Tobacco Alkaloid Content Through Modification Of Specific Cytochrome P450 Genes, Ralph E. Dewey, Balazs Siminszky, Steven W. Bowen, Lily Gavilano

Plant and Soil Sciences Faculty Patents

Compositions and methods for reducing the level of nornicotine and N'-nitrosonomicotine (NNN) in Nicotiana plants and plant parts thereof are provided. The compositions comprise isolated polynucleotides and polypeptides for cytochrome P450s that are involved in the metabolic conversion of nicotine to nornicotine in these plants. Expression cassettes, vectors, plants, and plant parts thereof comprising inhibitory sequences that target expression or function of the disclosed cytochrome P450 polypeptides are also provided. Methods for the use of these novel sequences to inhibit expression or function of cytochrome P450 polypeptides involved in this metabolic conversion are also provided. The methods find use ...


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

Agricultural and Biosystems Engineering Publications

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 ...


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

Food Science and Human Nutrition Publications

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 ...


Impact Of Pesticide Regulation On Innovation In The United States And European Union, Brooke D. Schafer 2019 Purdue University

Impact Of Pesticide Regulation On Innovation In The United States And European Union, Brooke D. Schafer

The Journal of Purdue Undergraduate Research

No abstract provided.


Origins Of Space Food From Mercury To Apollo, Celine Chang 2019 Purdue University

Origins Of Space Food From Mercury To Apollo, Celine Chang

The Journal of Purdue Undergraduate Research

No abstract provided.


Phototrophic N2 And Co2 Fixation Using A Rhodopseudomonas Palustris-H2 Mediated Electrochemical System With Infrared Photons, Mathangi Soundararajan, Rhesa Ledbetter, Paul Kusuma, Shuyang Zhen, Paul Ludden, Bruce Bugbee, Scott A. Ensign, Lance C. Seefeldt 2019 Utah State University

Phototrophic N2 And Co2 Fixation Using A Rhodopseudomonas Palustris-H2 Mediated Electrochemical System With Infrared Photons, Mathangi Soundararajan, Rhesa Ledbetter, Paul Kusuma, Shuyang Zhen, Paul Ludden, Bruce Bugbee, Scott A. Ensign, Lance C. Seefeldt

Plants, Soils, and Climate Faculty Publications

A promising approach for the synthesis of high value reduced compounds is to couple bacteria to the cathode of an electrochemical cell, with delivery of electrons from the electrode driving reductive biosynthesis in the bacteria. Such systems have been used to reduce CO2 to acetate and other C-based compounds. Here, we report an electrosynthetic system that couples a diazotrophic, photoautotrophic bacterium, Rhodopseudomonas palustris TIE-1, to the cathode of an electrochemical cell through the mediator H2 that allows reductive capture of both CO2 and N2 with all of the energy coming from the electrode and infrared (IR) photons. R. palustris TIE-1 ...


Negative Impacts Of The Beef Industry: Lab-Grown Meat, Stephanie Grass 2019 Bowling Green State University

Negative Impacts Of The Beef Industry: Lab-Grown Meat, Stephanie Grass

WRIT: Journal of First-Year Writing

The beef industry is harmful to the environment and human health and alternative solutions must be implemented in order to mitigate the effects of climate change. Water and grain are used in agriculture in abundance despite the negative environmental effects it causes. Cattle are the biggest contributors to greenhouse gas emissions in the sector, also contributing to climate change. Antibiotics are used in large quantities without regard to potential future consequences. One potential solution for this problem is lab-grown beef, which demands very little from the consumer and would take pressure off the environmental issues the beef industry creates. Lab-grown ...


Effects Of Cover Crops And Phosphorus Fertilizer Management On Soil Health Parameters In A No-Till Corn-Soybean Cropping System In Riley County, Kansas, L. M. Starr, P. J. Tomlinson, N. O. Nelson, K. L. Roozeboom, G. J. Kluitenberg, D. R. Presley 2019 Kansas State University

Effects Of Cover Crops And Phosphorus Fertilizer Management On Soil Health Parameters In A No-Till Corn-Soybean Cropping System In Riley County, Kansas, L. M. Starr, P. J. Tomlinson, N. O. Nelson, K. L. Roozeboom, G. J. Kluitenberg, D. R. Presley

Kansas Agricultural Experiment Station Research Reports

This study was implemented to examine the effects of cover crops and mineral phos­phorus (P) fertilizer application on water quality and soil health parameters. The experiment was established in 2014, at the Kansas Agricultural Watershed (KAW) field research facility, Ashland Bottoms Research Farm, Kansas State University, Manhattan, KS. The experiment was a 2 × 3 factorial design with two cover crop treatments (with and without) and three phosphorus fertilizer treatments (none, spring injected P, and fall broadcast P). Measures of nutrient demand (enzyme activity), microbial metabolic activity (soil respiration), and labile carbon (potassium permanganate oxidized carbon) were taken to assess ...


Determining The Functions Of Novel Genes Required For Photosynthesis, Gillian Gomer, Moshe Kafri, Martin Jonikas 2019 University of Central Florida

Determining The Functions Of Novel Genes Required For Photosynthesis, Gillian Gomer, Moshe Kafri, Martin Jonikas

Gillian Gomer

As land available for agriculture remains limited, it is becoming more necessary to explore methods to improve the efficiency of crop production in order to support Earth’s growing populations. Newly characterized photosynthetic genes could improve our understanding of the way organisms convert light energy into fuel, allowing improvements in plant growth and environmental resistance. Using an insertion mutant library of the unicellular algae, Chlamydomonas reindhartii, that covers 83% of its genome, we are identifying and characterizing the hundreds of genes associated with photosynthesis. Chlamydomonas can be grown with or without a light source, which allows us to identify mutants ...


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

John E. Sawyer

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 ...


Adjusting For Spatial Effects In Genomic Prediction, Xiaojun Mao, Somak Dutta, Raymond K. W. Wong, Dan Nettleton 2019 Fudan University

Adjusting For Spatial Effects In Genomic Prediction, Xiaojun Mao, Somak Dutta, Raymond K. W. Wong, Dan Nettleton

Dan Nettleton

This paper investigates the problem of adjusting for spatial effects in genomic prediction. Despite being seldomly considered in genome-wide association studies (GWAS), spatial effects often affect phenotypic measurements of plants. We consider a Gaussian random field (GRF) model with an additive covariance structure that incorporates genotype effects, spatial effects and subpopulation effects. An empirical study shows the existence of spatial effects and heterogeneity across different subpopulation families while simulations illustrate the improvement in selecting genotypically superior plants by adjusting for spatial effects in genomic prediction.


Development Of Optimized Phenomic Predictors For Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection In Soybean, Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K. Singh 2019 Iowa State University

Development Of Optimized Phenomic Predictors For Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection In Soybean, Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K. Singh

Baskar Ganapathysubramanian

The rate of advancement made in phenomic-assisted breeding methodologies has lagged those of genomic-assisted techniques, which is now a critical component of mainstream cultivar development pipelines. However, advancements made in phenotyping technologies have empowered plant scientists with affordable high-dimensional datasets to optimize the operational efficiencies of breeding programs. Phenomic and seed yield data was collected across six environments for a panel of 292 soybean accessions with varying genetic improvements. Random forest, a machine learning (ML) algorithm, was used to map complex relationships between phenomic traits and seed yield and prediction performance assessed using two cross-validation (CV) scenarios consistent with breeding ...


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