Agricultural Science Commons^™

Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

This article describes the use of Cellular Neural Networks (a class of Ordinary Differential Equation (ODE)), Fourier Descriptors (FD) and NaiveBayes Classifier (NBC) for automatic identification of images of plant leaves. The novelty of this article is seen in the use of CNN for image segmentation and a combination FDs with NBC. The main advantage of the segmentation method is the computation speed compared with other edge operators such as canny, sobel, Laplacian of Gaussian (LoG). The results herein show the potential of the methods in this paper for examining different agricultural images and distinguishing between different crops and weeds …

Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong

Research outputs 2014 to 2021

The capacity of farmers and agricultural scientists to be able to make in-season decisions is dependent on accurate climate, soil and plant data. This paper will provide a review of the types of environmental and crop data that can be collected by sensors which can used for decision support systems (DSS) or be further interrogated for real time data mining and analysis. This paper also presents a review of the data requirements for agricultural decision making by firstly reviewing decision support frameworks and agricultural DSSs, data acquisition, sensors for data acquisition and examples of data incorporation for agricultural DSSs.

Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson

Research outputs 2014 to 2021

This paper hypothesizes that there is value in combining soil, climate and plant tissue data to give more reliable advice on nitrogen top-ups in-season when compared with models that are currently available. The benefit of soil and climate data is to factor in N mineralisation and potential yield while plant test data is a more direct approach of yield estimates when considering firstly plant N uptake from the whole soil profile and secondly biomass (important yield component). Plant test data are closer to yield in time and space than soil test data, shortening the time period for any yield prognosis …

Icts For Agricultural Extension: A Study In Ratnagiri District Of Maharashtra, India, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

This study describes an assessment of attitudes of farmers from the Lanja tehsil of Ratnagiri district of Maharashtra in order to understand the information seeking behavior and reasons for the farmers seeking this agricultural information through different sources. To meet the objective of the study, a structured questionnaire and interviews were conducted to gather information on number of aspects related to the use of Information and Communication Technologies (ICT) from 100 randomly selected framers. Additional semi- structured questionnaire and checklist was provided to the key stakeholders. The farmer based questionnaire sought demographic data, information requirement data and uses of ICT …

Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Government, private agencies and the general public are often interested in the decisions made by the Indian farmers as they have large influences beyond the farm boundary. Over many years, the process of adoption of new technologies and policies in the Indian agricultural sector has received considerable academic attention highlighting the role of many social, financial and other influences on their decision making. The Indian government and other development agencies promote income generating projects as a way of encouraging growth through increased agricultural production and the protection of the natural resource base. The impact of new technology to economic growth …

An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong

Research outputs 2014 to 2021

This paper examines the application of artificial neural networks (ANNs) for predicting crop yields for an agricultural region in Nepal. The neural network algorithm has become an effective data mining tool and the outcome produced by this algorithm is considered to be less error prone than other computer science techniques. The backpropagation algorithm which iteratively finds a suitable weight value is considered for computing the error derivative. Agricultural data was collected from thirteen years from paddy field cultivation in the Siraha district, an eastern region in Nepal, and used for this investigation of neural networks. Additionally, climatic parameters including rainfall, …

A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong

Research outputs 2014 to 2021

Yield predictions are notorious for being difficult due to many interdependent factors such as rainfall, soil properties, plant health, plant density etc. This study is based upon the author’s previously published work and extends its findings by further investigating the best mathematical solution to this dilemma. Artificial intelligence (AI) techniques have been applied to a large set of soil, plant, rainfall, and yield data from CSBP’s field research trial program. Here we further differentiate by investigate two ANN techniques, a genetic algorithm with back propagation neural networks (GA-BP-NN) and a particle swarm optimization with back propagation neural networks (PSO-BP-NN). Results …

Shattercane X Als-Tolerant Sorghum F1 Hybrid And Shattercane Interference In Als-Tolerant Sorghum, Rodrigo Werle, Jared J. Schmidt, John Laborde, Angela Tran, Cody F. Creech, John L. Lindquist

Department of Agronomy and Horticulture: Faculty Publications

ALS-tolerant grain sorghum cultivars are expected to be available for farmers within the next few years. Knowing that: (i) crosses between sorghum and shattercane are likely to occur resulting in crop-to-weed gene flow; (ii) ALS-susceptible shattercane X ALS-tolerant grain sorghum F1 hybrids (hybrids) were ultimately resistant to ALS-herbicides under field conditions; and (iii) hybrid fitness is equal to, or greater than, the wild parent, we conducted a greenhouse study to compare the competitive effect of shattercane and hybrid on sorghum, and whether or not herbicide application would influence the competitive ability of the hybrid …

Common Sunflower Seedling Emergence Across The U.S. Midwest, Sharon A. Clay, Adam Davis, Anita Dille, John Lindquist, Analiza H. M. Ramirez, Christy Sprague, Graig Reicks, Frank Forcella

Department of Agronomy and Horticulture: Faculty Publications

Predictions of weed emergence can be used by practitioners to schedule POST weed management operations. Common sunflower seed from Kansas was used at six Midwestern U.S. sites to examine the variability that 16 climates had on common sunflower emergence. Nonlinear mixed effects models, using a flexible sigmoidal Weibull function that included thermal time, hydrothermal time, and a modified hydrothermal time (with accumulation starting from January 1 of each year), were developed to describe the emergence data. An iterative method was used to select an optimal base temperature (T_b) and base and ceiling soil matric potentials (ψ_b and …

Genotyping By Sequencing For Genomic Prediction In A Soybean Breeding Population, Diego Jarquin, Kyle Kocak, Luis Posadas, Katie Hyma, Joseph Jedlicka, George L. Graef, Aaron Lorenz

Department of Agronomy and Horticulture: Faculty Publications

Background: Advances in genotyping technology, such as genotyping by sequencing (GBS), are making genomic prediction more attractive to reduce breeding cycle times and costs associated with phenotyping. Genomic prediction and selection has been studied in several crop species, but no reports exist in soybean. The objectives of this study were (i) evaluate prospects for genomic selection using GBS in a typical soybean breeding program and (ii) evaluate the effect of GBS marker selection and imputation on genomic prediction accuracy. To achieve these objectives, a set of soybean lines sampled from the University of Nebraska Soybean Breeding Program were genotyped using …

Identification And Validation Of Quantitative Trait Loci For Seed Yield, Oil And Protein Contents In Two Recombinant Inbred Line Populations Of Soybean, Xianzhi Wang, Guo‑Liang Jiang, Marci Green, Roy A. Scott, Qijian Song, D. L. Hyten, P. B. Cregan

Department of Agronomy and Horticulture: Faculty Publications

Soybean seeds contain high levels of oil and protein, and are the important sources of vegetable oil and plant protein for human consumption and livestock feed. Increased seed yield, oil and protein contents are the main objectives of soybean breeding. The objectives of this study were to identify and validate quantitative trait loci (QTLs) associated with seed yield, oil and protein contents in two recombinant inbred line populations, and to evaluate the consistency of QTLs across different environments, studies and genetic backgrounds. Both the mapping population (SD02- 4-59 × A02-381100) and validation population (SD02- 911 × SD00-1501) were phenotyped for …

Porocercospora Seminalis Gen. Et Comb. Nov., The Causal Organism Of Buffalograss False Smut, Bimal S. Amaradasa, Hugo Madrid, Johannes Z. Groenewald, Pedro W. Crous, Keenan L. Amundsen

Department of Agronomy and Horticulture: Faculty Publications

False smut caused by Cercospora seminalis is an important disease of buffalograss (Buchloe dactyloides) affecting seed production. The pathogen prevents normal caryopsis development and causes considerable yield loss and reduced seed germination. The current taxonomic placement of the false-smut causal pathogen in the genus Cercospora is incorrect based on its morphological characteristics and DNA phylogeny. In the present study the phylogenetic position of C. seminalis is clarified based on DNA sequence analysis of three loci namely the internal transcribed spacer (ITS) region, partial nuclear ribosomal large subunit (LSU) and partial sequences of the RNA polymerase II second largest …

Identification Of A Sphingolipid Α-Glucuronosyltransferase That Is Essential For Pollen Function In Arabidopsis, Emilie A. Rennie, Berit Ebert, Godfrey P. Miles, Rebecca E. Cahoon, Katy M. Christiansen, Solomon Stonebloom, Hoda Khatab, David Twell, Christopher J. Petzold, Paul D. Adams, Paul Dupree, Joshua L. Heazlewood, Edgar B. Cahoon, Henrik Vibe Scheller

Department of Agronomy and Horticulture: Faculty Publications

Glycosyl inositol phosphorylceramide (GIPC) sphingolipids are a major class of lipids in fungi, protozoans, and plants. GIPCs are abundant in the plasma membrane in plants, comprising around a quarter of the total lipids in these membranes. Plant GIPCs contain unique glycan decorations that include a conserved glucuronic acid (GlcA) residue and various additional sugars; however, no proteins responsible for glycosylating GIPCs have been identified to date. Here, we show that the Arabidopsis thaliana protein INOSITOL PHOSPHORYLCERAMIDE GLUCURONOSYLTRANSFERASE1 (IPUT1) transfers GlcA from UDP-GlcA to GIPCs. To demonstrate IPUT1 activity, we introduced the IPUT1 gene together with genes for a UDP-glucose dehydrogenase …

Identification Of Differentially Expressed Genes Between Sorghum Genotypes With Contrasting Nitrogen Stress Tolerance By Genome-Wide Transcriptional Profiling, Malleswari Gelli, Yongchao Duo, Anji Reddy Konda, Chi Zhang, David R. Holding, Ismail M. Dweikat

Department of Agronomy and Horticulture: Faculty Publications

Background: Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having differential response to low-N stress.

Results: Illumina RNA-sequencing detected several common differentially expressed genes (DEGs) between four low-N tolerant sorghum genotypes (San Chi San, China17, KS78 and high-NUE bulk) and three …

Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy

Research outputs 2014 to 2021

Spatial data mining helps to identify interesting patterns from the spatial data sets. However, geo spatial data requires substantial data pre-processing before data can be interrogated further using data mining techniques. Multi-dimensional spatial data has been used to explain the spatial analysis and SOLAP for pre-processing data. This paper examines some of the methods for pre-processing of the data using Arc GIS 10.2 and Spatial Analyst with a case study dataset of a watershed.

Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Drought is a natural phenomenon that affects social, economic and environmental sectors. It is caused due to low or no rainfall in the specific region and for some duration of time. Reduced soil moisture and ground water level are the other causes for drought. Based on its intensity, drought has impacts on various sectors like agriculture, transportation, forest fire, environment and many more. Agriculture is the major sector being affected by drought resulting in low crop production and having great detriment to economy of the country. In this paper, an attempt is made to study the different causes and effects …

Web-Based Training In E-Agriculture For Agricultural College, Prachyanum Nilsook, Leisa Armstrong, Pornchai Taechatanasat, Tirtha Ranjeet

Research outputs 2014 to 2021

This paper presents a web-based training system in eAgriculture for agricultural college in Thailand. The eAgriculture contents consist of introduction to information and communication technology (ICT) for agriculture, information technology in agriculture, agricultural management information system and precision farming. The research shows that the majority users are highly satisfied with the developed web-based training system. The users favoured four factors of the system including the content of the website; technical media production; the designing and the formatting of the website; and benefits of its uses.

Glyphosate-Resistant Giant Ragweed (Ambrosia Trifida) Control In Glufosinate-Resistant Soybean, Simranpreet Kaur, Lowell D. Sandell, John L. Lindquist, Amit J. Jhala

Department of Agronomy and Horticulture: Faculty Publications

Glyphosate-resistant giant ragweed is one of the most competitive weeds of agronomic crops in the United States. Early emergence and rapid growth rate makes giant ragweed a competitive weed early in the season and reduces crop yields. Therefore, early spring control of giant ragweed using a preplant herbicide is critical. Glufosinate is an alternative POST herbicide for weed control in glufosinate-resistant soybean. Field experiments were conducted at David City, NE, in 2012 and 2013 to evaluate the efficacy of preplant herbicides followed by glufosinate applied alone or in tank mixes for control of glyphosate-resistant giant ragweed in glufosinate-resistant soybean. Preplant …

Effects Of Cerium Oxide Nanoparticles In Cereals: Insights Into The Toxicity Mechanisms And Macromolecular Modifications, Cyren Mendoza Rico

Open Access Theses & Dissertations

Despite the inundation of studies on the interaction of engineered nanomaterials (ENMs) with plants, investigations involving complete life cycle (i.e from seedling establishment to full maturity) are still lacking. Assessments on the nutritional value of plants cultivated to full maturity in ENMs-treated soil are also missing. Cerium oxide nanoparticles (nCeO2) have significant interactions with plants; however, there are no life cycle studies yet on their implications in cereals like rice (Oryza sativa L.), wheat (Triticum aestivum L.), and barley (Hordeum vulgare L.). These cereals are globally important crops that support the economic activity, and nutritional and health needs of billions …

Grassland Sustainability In Kentucky: Case Studies Quantifying The Effects Of Climate Change On Slug Herbivory In Pastures And Different Home Lawn Systems On Turf Greenhouse Gas Emissions, Daniel Adam Weber

Theses and Dissertations--Plant and Soil Sciences

Grasslands comprise the greatest biome by land area, are sensitive to environmental factors affected by climate change, and can impact future climate change through their ability to store and release greenhouse gasses (GHGs). I performed two studies: 1) evaluated the effects of increased temperature and precipitation on slug herbivory/abundance and pasture forage production; 2) quantified different homeowner lawn system effects on soil-to-atmosphere GHG emissions. Climate change will likely affect pasture forage production, with implications for slug herbivory and abundance. I found little evidence that slugs have or will have significant effects on pasture production or plant community. Warming altered the …

Lettuce Cultivar Observation Trial — 2013, Elizabeth Maynard

Purdue Fruit and Vegetable Research Reports

Lettuce is one of several cool-season crops that Indiana growers produce to meet market demands for local produce early and late in the season. It is grown in the field as well as in unheated and heated structures. Growers who responded to a survey in 2013 indicated that important characteristics for lettuce varieties include slow bolting, good eating quality, and disease resistance. Numerous varieties are available and it is important to identify which perform well in Indiana. We report here characteristics of 38 lettuce cultivars grown in an unreplicated field trial at the Pinney-Purdue Agricultural Center in Wanatah, Indiana.

Lettuce Cultivar Observation Trial — 2013, Elizabeth Maynard

Midwest Vegetable Trial Reports

Lettuce is one of several cool-season crops that Indiana growers produce to meet market demands for local produce early and late in the season. It is grown in the field as well as in unheated and heated structures. Growers who responded to a survey in 2013 indicated that important characteristics for lettuce varieties include slow bolting, good eating quality, and disease resistance. Numerous varieties are available and it is important to identify which perform well in Indiana. We report here characteristics of 38 lettuce cultivars grown in an unreplicated field trial at the Pinney-Purdue Agricultural Center in Wanatah, Indiana.

A Genome-Wide Association Study Of Seed Protein And Oil Content In Soybean, Eun-Young Hwang, Qijian Song, Gaofeng Jia, James E. Specht, David L. Hyten, Jose Costa, Perry B. Cregan

Department of Agronomy and Horticulture: Faculty Publications

Background: Association analysis is an alternative to conventional family-based methods to detect the location of gene(s) or quantitative trait loci (QTL) and provides relatively high resolution in terms of defining the genome position of a gene or QTL. Seed protein and oil concentration are quantitative traits which are determined by the interaction among many genes with small to moderate genetic effects and their interaction with the environment. In this study, a genome-wide association study (GWAS) was performed to identify quantitative trait loci (QTL) controlling seed protein and oil concentration in 298 soybean germplasm accessions exhibiting a wide range of …

How Do Various Maize Crop Models Vary In Their Responses To Climate Change Factors?, Simon Bassu, Nadine Brisson, Jean-Louis Durand, Kenneth J. Boote, Jon Lizaso, James Jones, Cynthia Rosenzweig, Alex Ruane, Myriam Adam, Christian Baron, Bruno Basso, Christian Biernath, Hendrick Boogaard, Sjaak Conijn, Marc Corbeels, Delphine Deryng, Giacomo De Sanctis, Sebastian Gayler, Patricio Grassini, Jerry Hatfield, Steven Hoek, Cesar Izaurralde, Raymond Jongschaap, Armen Kemanian, Christian Kersebaum, Soo-Hyung Kim, Naresh Kumar, David Makowski, Christoph Muller, Claas Nendel, Eckart Priesack, Maria Virinia Pravia, Federico Sau, Iurii Shcherbak, Fulu Tao, Edmar Teixeira, Dennis Timlin, Katharina Waha

Department of Agronomy and Horticulture: Faculty Publications

Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide …

Seed Guide 2014: Unl Extension Circular 103. Winter Seed Guide -- August 2014, Teshome Regassa, P. Stephen Baenziger, Greg Kruger, Dipak Santra

Department of Agronomy and Horticulture: Faculty Publications

WINTER WHEAT PERFORMANCE

RESULTS AT INDIVIDUAL LOCATIONS

Location Summary for Nebraska Winter Wheat Variety Tests - 2014

Entries and Contact Information

Soil Type, Previous Crop, Fertilizers and Herbicides/Fungicides Applied to Nebraska Winter Wheat Variety Tests -2014

Southeast Dryland Wheat Variety Tests - 2014 Saline, Saunders, and Lancaster Counties & Southeast Dryland Wheat Variety Tests 2010- 2014

South Central Dryland Wheat Variety Test - 2014 Clay County & South Central Dryland Wheat Variety Tests 2010-2014

West Central Dryland Wheat Variety Tests - 2014 Furnas, Red Willow, and Lincoln Counties & West Central Dryland Wheat Variety Tests 2010- 2014

West Dryland Wheat …

Grazing Management Effect On Micro- And Macro- Scale Fate Of C And N In Rangelands, Martha Mamo, Jeff Bradshaw, Richard Ferguson, Kent M. Eskridge, John A. Guretzky, Karla Jenkins, Walter H. Schacht, Jerry Volesky, Sean Whipple, Anita Wingeyer, Haishun Yang

Department of Agronomy and Horticulture: Faculty Publications

No abstract provided.

Comparison Of Winter Strawberry Production In A Commercial Heated High Tunnel Versus A University Greenhouse, Ellen T. Paparozzi, Ryan Pekarek, George E. Meyer, Stacy A. Adams, M. Elizabeth Conley, David P. Lambe, Paul Read, Erin E. Blankenship

Department of Agronomy and Horticulture: Faculty Publications

For the past 4 years, the University of Nebraska strawberry team has worked to develop low cost, sustainable methods for farmers and growers to produce strawberries in a double polyethylene greenhouse during the winter. This past year, this growing system was adapted to become a commercial grower’s heated high tunnel for the winter/spring of 2013-14. The idea was to scale up to a farm-size demonstration and compare it to the university greenhouse production system with a goal to expand marketing opportunities for strawberries into the winter season.

Greenhouse Gas Emissions From Soil Treated With Dung Pats, Kenneth Evans, Ana Wingeyer, Martha Mamo, Walter H. Schacht, Pamela Sutton, Kent M. Eskridge

Department of Agronomy and Horticulture: Faculty Publications

No abstract provided.

Fate Of C And N From Dung Pats Into Soil, Kenneth Evans, Ana Wingeyer, Martha Mamo, Pamela Sutton, Jeff Bradshaw, Kent M. Eskridge, Matt Judkins, Jenna Beckmann, Erin Hatch

Department of Agronomy and Horticulture: Faculty Publications

No abstract provided.

Quantitative Proteomic Analysis Of The Salmonella-Lettuce Interaction, Yuping Zhang, Renu Nandakumar, Shannon L. Bartelt-Hunt, Daniel D. Snow, Laurie Hodges, Xu Li

Department of Agronomy and Horticulture: Faculty Publications

Human pathogens can internalize food crops through root and surface uptake and persist inside crop plants. The goal of the study was to elucidate the global modulation of bacteria and plant protein expression after Salmonella internalizes lettuce. A quantitative proteomic approach was used to analyse the protein expression of Salmonella enterica serovar Infantis and lettuce cultivar Green Salad Bowl 24 h after infiltrating S. Infantis into lettuce leaves. Among the 50 differentially expressed proteins identified by comparing internalized S. Infantis against S. Infantis grown in Luria Broth, proteins involved in glycolysis were down-regulated, while one protein involved in ascorbate …