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Articles 1 - 30 of 1902

Full-Text Articles in Life Sciences

What Have Long-Term Field Studies Taught Us About Population Dynamics?, Beth A. Reinke, David A. W. Miller, Fredric J. Janzen Nov 2019

What Have Long-Term Field Studies Taught Us About Population Dynamics?, Beth A. Reinke, David A. W. Miller, Fredric J. Janzen

Ecology, Evolution and Organismal Biology Publications

Long-term studies have been crucial to the advancement of population biology, especially our understanding of population dynamics. We argue that this progress arises from three key characteristics of long-term research. First, long-term data are necessary to observe the heterogeneity that drives most population processes. Second, long-term studies often inherently lead to novel insights. Finally, long-term field studies can serve as model systems for population biology, allowing for theory and methods to be tested under well-characterized conditions. We illustrate these ideas in three long-term field systems that have made outsized contributions to our understanding of population ecology, evolution, and conservation biology ...


Phylogenetic Comparative Methods And The Evolution Of Multivariate Phenotypes, Dean C. Adams, Michael L. Collyer Nov 2019

Phylogenetic Comparative Methods And The Evolution Of Multivariate Phenotypes, Dean C. Adams, Michael L. Collyer

Ecology, Evolution and Organismal Biology Publications

Evolutionary biology is multivariate, and advances in phylogenetic comparative methods for multivariate phenotypes have surged to accommodate this fact. Evolutionary trends in multivariate phenotypes are derived from distances and directions between species in a multivariate phenotype space. For these patterns to be interpretable, phenotypes should be characterized by traits in commensurate units and scale. Visualizing such trends, as is achieved with phylomorphospaces, should continue to play a prominent role in macroevolutionary analyses. Evaluating phylogenetic generalized least squares (PGLS) models (e.g., phylogenetic analysis of variance and regression) is valuable, but using parametric procedures is limited to only a few phenotypic ...


Application Of Models To Screwworm Eradication Programs, E. S. Krafsur Oct 2019

Application Of Models To Screwworm Eradication Programs, E. S. Krafsur

Elliot Krafsur

Screwworms (Cochliomyia hominivorax, Diptera: Calliphoridae) were eradicated from the United States with E.F. Knipling's 'demonstrative' model that related the relative mating proportions of wild and sterile insects to population fertility and predicted population trends in subsequent generations. Ad hoc correlations between treatments applied and experimental results obtained on Sanibel Island, Florida, in 1952-1953, Curacao, Netherlands East Indies in 1954, and the Florida mainland in 1957 provided a conceptual guide for the eradication campaigns from 1958 until 1967. Many mathematical models have since been proposed that relate pest insect population density at some future time to density, fertility, net ...


Climate Warming Trends In The U.S. Midwest Using Four Thermal Models, Lori J. Abendroth, Fernando E. Miguez, Michael J. Castellano, Jerry L. Hatfield Oct 2019

Climate Warming Trends In The U.S. Midwest Using Four Thermal Models, Lori J. Abendroth, Fernando E. Miguez, Michael J. Castellano, Jerry L. Hatfield

Michael Castellano

Thermal time (TT) is an agro-climate index widely established and used in predicting plant development based on temperature. This index is a powerful tool for measuring multi-faceted changes in temperature occurring from climate change. In the present study, TT was calculated for the entire frost-free period and individual spring, summer, and fall seasons using growing degree day (GDD), general thermal index (GTI), crop heat unit (CHU), and heat stress degree day (HSDD) models for 1054 counties across 12 Midwest states on a daily basis from 1950 to 2017. The temporal trend for each county was fit with a linear regression ...


Teaching Data Analysis Using Students' Own Data, Dmitry Kondrashov, Stefano Allesina Oct 2019

Teaching Data Analysis Using Students' Own Data, Dmitry Kondrashov, Stefano Allesina

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


An Agent-Based Modeling Approach For Predicting The Behavior Of Bighead Carp (Hypophthalmichthys Nobilis) Under The Influence Of Acoustic Deterrence, Joey Gaudy, Craig Garzella Oct 2019

An Agent-Based Modeling Approach For Predicting The Behavior Of Bighead Carp (Hypophthalmichthys Nobilis) Under The Influence Of Acoustic Deterrence, Joey Gaudy, Craig Garzella

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Network Structure And Dynamics Of Biological Systems, Deena R. Schmidt Oct 2019

Network Structure And Dynamics Of Biological Systems, Deena R. Schmidt

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Integrating Mathematics And Biology In The Classroom: A Compendium Of Case Studies And Labs, Becky Sanft, Anne Walter Oct 2019

Integrating Mathematics And Biology In The Classroom: A Compendium Of Case Studies And Labs, Becky Sanft, Anne Walter

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Quantifying Pollen Traits To Build A Mathematical Model Of Pollen Competition - A Biologist's Perspective, Rob Swanson, Alex Capaldi Oct 2019

Quantifying Pollen Traits To Build A Mathematical Model Of Pollen Competition - A Biologist's Perspective, Rob Swanson, Alex Capaldi

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Automated Monitoring Of Behaviour In Zebrafish After Invasive Procedures, Anthony G. Deakin, Jonathan Buckley, Hamzah S. Alzu'bi, Andrew R. Cossins, Joseph W. Spencer, Waleed Al'nuaimy, Iain S. Young, Jack S. Thomson, Lynne U. Sneddon Oct 2019

Automated Monitoring Of Behaviour In Zebrafish After Invasive Procedures, Anthony G. Deakin, Jonathan Buckley, Hamzah S. Alzu'bi, Andrew R. Cossins, Joseph W. Spencer, Waleed Al'nuaimy, Iain S. Young, Jack S. Thomson, Lynne U. Sneddon

Lynne Sneddon, PhD

Fish are used in a variety of experimental contexts often in high numbers. To maintain their welfare and ensure valid results during invasive procedures it is vital that we can detect subtle changes in behaviour that may allow us to intervene to provide pain-relief. Therefore, an automated method, the Fish Behaviour Index (FBI), was devised and used for testing the impact of laboratory procedures and efficacy of analgesic drugs in the model species, the zebrafish. Cameras with tracking software were used to visually track and quantify female zebrafish behaviour in real time after a number of laboratory procedures including fin ...


An Animal-Assisted Intervention Study In The Nursing Home: Lessons Learned, Lonneke G. J. A. Schuurmans, Inge Noback, Jos M. G. A. Schols, Marie-Jose Enders-Slegers Sep 2019

An Animal-Assisted Intervention Study In The Nursing Home: Lessons Learned, Lonneke G. J. A. Schuurmans, Inge Noback, Jos M. G. A. Schols, Marie-Jose Enders-Slegers

People and Animals: The International Journal of Research and Practice

AAI studies in the nursing home pose a specific set of challenges. In this article the practical and ethical issues encountered during a Dutch psychogeriatric nursing home AAI study are addressed with the aim of sharing our experiences for future researchers as well as AAI practitioners in general.

In our study we compared three groups of clients with dementia who participated in group sessions of either visiting dog teams, visiting FurReal Friend robot animals, or visiting students (control group) and monitored the effect on social interaction and neuropsychiatric symptoms through video analysis and questionnaires. We encountered the following four categories ...


Fully Bayesian Analysis Of Allele-Specific Rna-Seq Data, Ignacio Alvarez-Castro, Jarad Niemi Sep 2019

Fully Bayesian Analysis Of Allele-Specific Rna-Seq Data, Ignacio Alvarez-Castro, Jarad Niemi

Jarad Niemi

Diploid organisms have two copies of each gene, called alleles, that can be separately transcribed. The RNA abundance associated to any particular allele is known as allele-specific expression (ASE). When two alleles have polymorphisms in transcribed regions, ASE can be studied using RNA-seq read count data. ASE has characteristics different from the regular RNA-seq expression: ASE cannot be assessed for every gene, measures of ASE can be biased towards one of the alleles (reference allele), and ASE provides two measures of expression for a single gene for each biological samples with leads to additional complications for single-gene models. We present ...


Closed-Form Probability Distribution Of Number Of Infections At A Given Time In A Stochastic Sis Epidemic Model.Pdf, Michael Otunuga Sep 2019

Closed-Form Probability Distribution Of Number Of Infections At A Given Time In A Stochastic Sis Epidemic Model.Pdf, Michael Otunuga

Olusegun Michael Otunuga

We study the effects of external fluctuations in the transmission rate of certain diseases and how these affect the distribution of the number of infected individuals over time. To do this, we introduce random noise in the transmission rate in a deterministic SIS model and study how the number of infections changes over time. The objective of this work is to derive and analyze the closed form probability distribution of the number of infections at a given time in the resulting stochastic SIS epidemic model. Using the Fokker-Planck equation, we reduce the differential equation governing the number of infections to ...


Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk Sep 2019

Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk

Andrew N. Rowan, DPhil

In November 2013, a group of international experts in animal research policy (n = 11) gathered in Vancouver, Canada, to discuss openness and accountability in animal research. The primary objective was to bring together participants from various jurisdictions (United States, Sweden, Australia, New Zealand, Germany, Canada and the United Kingdom) to share practices regarding the governance of animals used in research, testing and education, with emphasis on the governance process followed, the methods of community engagement, and the balance of openness versus confidentiality. During the forum, participants came to a broad consensus on the need for: (a) evidence-based metrics to allow ...


A Food Web Modeling Assessment Of Asian Carp Impacts In The Middle And Upper Mississippi River, Usa, Nicholas W. Kramer, Quinton E. Phelps, Clay L. Pierce, Michael E. Colvin Sep 2019

A Food Web Modeling Assessment Of Asian Carp Impacts In The Middle And Upper Mississippi River, Usa, Nicholas W. Kramer, Quinton E. Phelps, Clay L. Pierce, Michael E. Colvin

Clay L. Pierce

The invasion of non-native fishes has caused a great detriment to many of our native fishes. Since the introduction of invasive carps, such as Silver, Bighead, Common and Grass Carp, managers and researcher have been struggling to remove these species while also hypothesizing the detriment of further invasion. This study developed a food web model of four locations on the Mississippi River and used those models to assess the impacts of two scenarios: carp removal and carp invasion. In the Middle Mississippi River where these invasive carps are already present, the models found that it would take a sustained exploitation ...


Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller Sep 2019

Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller

Fredric Janzen

Understanding age‐dependent patterns of survival is fundamental to predicting population dynamics, understanding selective pressures, and estimating rates of senescence. However, quantifying age‐specific survival in wild populations poses significant logistical and statistical challenges. Recent work has helped to alleviate these constraints by demonstrating that age‐specific survival can be estimated using mark‐recapture data even when age is unknown for all or some individuals. However, previous approaches do not incorporate auxiliary information that can improve age estimates of individuals. We introduce a survival estimator that combines a von Bertalanffy growth model, age‐specific hazard functions, and a Cormack‐Jolly ...


Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller Sep 2019

Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller

Anne Bronikowski

Understanding age‐dependent patterns of survival is fundamental to predicting population dynamics, understanding selective pressures, and estimating rates of senescence. However, quantifying age‐specific survival in wild populations poses significant logistical and statistical challenges. Recent work has helped to alleviate these constraints by demonstrating that age‐specific survival can be estimated using mark‐recapture data even when age is unknown for all or some individuals. However, previous approaches do not incorporate auxiliary information that can improve age estimates of individuals. We introduce a survival estimator that combines a von Bertalanffy growth model, age‐specific hazard functions, and a Cormack‐Jolly ...


9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association Sep 2019

9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association

MD Anderson Cancer Center Postdoctoral Association Annual Postdoctoral Science Symposium Abstracts

The mission of the Annual Postdoctoral Science Symposium (APSS) is to provide a platform for talented postdoctoral fellows throughout the Texas Medical Center to present their work to a wider audience. The MD Anderson Postdoctoral Association convened its inaugural Annual Postdoctoral Science Symposium (APSS) on August 4, 2011.

The APSS provides a professional venue for postdoctoral scientists to develop, clarify, and refine their research as a result of formal reviews and critiques of faculty and other postdoctoral scientists. Additionally, attendees discuss current research on a broad range of subjects while promoting academic interactions and enrichment and developing new collaborations.


“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli Sep 2019

“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli

David Fraser, PhD

Commentary on Marino and Allen (2017) The Psychology of Cows


Phylogenetic Comparative Methods And The Evolution Of Multivariate Phenotypes, Dean C. Adams, Michael L. Collyer Sep 2019

Phylogenetic Comparative Methods And The Evolution Of Multivariate Phenotypes, Dean C. Adams, Michael L. Collyer

Dean C. Adams

Evolutionary biology is multivariate, and advances in phylogenetic comparative methods for multivariate phenotypes have surged to accommodate this fact. Evolutionary trends in multivariate phenotypes are derived from distances and directions between species in a multivariate phenotype space. For these patterns to be interpretable, phenotypes should be characterized by traits in commensurate units and scale. Visualizing such trends, as is achieved with phylomorphospaces, should continue to play a prominent role in macroevolutionary analyses. Evaluating phylogenetic generalized least squares (PGLS) models (e.g., phylogenetic analysis of variance and regression) is valuable, but using parametric procedures is limited to only a few phenotypic ...


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 Sep 2019

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 ...


Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller Aug 2019

Joint Estimation Of Growth And Survival From Mark‐Recapture Data To Improve Estimates Of Senescence In Wild Populations, Beth A. Reinke, Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David Miller

Ecology, Evolution and Organismal Biology Publications

Understanding age‐dependent patterns of survival is fundamental to predicting population dynamics, understanding selective pressures, and estimating rates of senescence. However, quantifying age‐specific survival in wild populations poses significant logistical and statistical challenges. Recent work has helped to alleviate these constraints by demonstrating that age‐specific survival can be estimated using mark‐recapture data even when age is unknown for all or some individuals. However, previous approaches do not incorporate auxiliary information that can improve age estimates of individuals. We introduce a survival estimator that combines a von Bertalanffy growth model, age‐specific hazard functions, and a Cormack‐Jolly ...


Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk Aug 2019

Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk

Oversight of Animal Experimentation Collection

In November 2013, a group of international experts in animal research policy (n = 11) gathered in Vancouver, Canada, to discuss openness and accountability in animal research. The primary objective was to bring together participants from various jurisdictions (United States, Sweden, Australia, New Zealand, Germany, Canada and the United Kingdom) to share practices regarding the governance of animals used in research, testing and education, with emphasis on the governance process followed, the methods of community engagement, and the balance of openness versus confidentiality. During the forum, participants came to a broad consensus on the need for: (a) evidence-based metrics to allow ...


Acute Toxicity Testing Without Animals: More Scientific And Less Of A Gamble, Gillian R. Langley Aug 2019

Acute Toxicity Testing Without Animals: More Scientific And Less Of A Gamble, Gillian R. Langley

Gill Langley, PhD

In this report, we argue specifically that acute toxicity data should not be sought from animal tests. The underlying principle of such tests on rats and mice is that the results can be effectively extrapolated to humans. In fact, after nearly 80 years of use of these tests, the predictivity of rodent data for human acute toxic effects has been disputed but never proven.


Fully Bayesian Analysis Of Allele-Specific Rna-Seq Data, Ignacio Alvarez-Castro, Jarad Niemi Aug 2019

Fully Bayesian Analysis Of Allele-Specific Rna-Seq Data, Ignacio Alvarez-Castro, Jarad Niemi

Statistics Publications

Diploid organisms have two copies of each gene, called alleles, that can be separately transcribed. The RNA abundance associated to any particular allele is known as allele-specific expression (ASE). When two alleles have polymorphisms in transcribed regions, ASE can be studied using RNA-seq read count data. ASE has characteristics different from the regular RNA-seq expression: ASE cannot be assessed for every gene, measures of ASE can be biased towards one of the alleles (reference allele), and ASE provides two measures of expression for a single gene for each biological samples with leads to additional complications for single-gene models. We present ...


Declining Liquidity In Iowa Farms: 2014–2017, Alejandro Plastina Aug 2019

Declining Liquidity In Iowa Farms: 2014–2017, Alejandro Plastina

Alejandro Plastina

The goal of the present study is to describe the evolution of financial liquidity in Iowa farms for 2014–2017, using a unique panel of 220 mid-scale commercial farms. Farms with vulnerable liquidity ratings increased from 33.2 percent in December 2014 to 45.0 percent in December 2017. On average, farms lost $244 of working capital per acre over that period, but farms with vulnerable liquidity ratings in December 2017 lost almost 60 percent more than that, or $388. Average farm size, machinery investment per acre, farm net worth per acre, debt-to-asset ratio, and age of operator were not ...


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 Aug 2019

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 Aug 2019

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.


Qqs Orphan Gene And Its Interactor Nf‐Yc4 Reduce Susceptibility To Pathogens And Pests, Mingsheng Qi, Wenguang Zheng, Xuefeng Zhao, Jessica D. Hohenstein, Yuba Kandel, Seth O’Conner, Yifan Wang, Chuanlong Du, Dan Nettleton, Gustavo C. Macintosh, Gregory L. Tylka, Eve Syrkin Wurtele, Steven A. Whitham, Ling Li Aug 2019

Qqs Orphan Gene And Its Interactor Nf‐Yc4 Reduce Susceptibility To Pathogens And Pests, Mingsheng Qi, Wenguang Zheng, Xuefeng Zhao, Jessica D. Hohenstein, Yuba Kandel, Seth O’Conner, Yifan Wang, Chuanlong Du, Dan Nettleton, Gustavo C. Macintosh, Gregory L. Tylka, Eve Syrkin Wurtele, Steven A. Whitham, Ling Li

Ling Li

Enhancing the nutritional quality and disease resistance of crops without sacrificing productivity is a key issue for developing varieties that are valuable to farmers and for simultaneously improving food security and sustainability. Expression of the Arabidopsis thaliana species‐specific AtQQS (Qua‐Quine Starch) orphan gene or its interactor, NF‐YC4 (Nuclear Factor Y, subunit C4), has been shown to increase levels of leaf/seed protein without affecting the growth and yield of agronomic species. Here, we demonstrate that overexpression of AtQQS and NF‐YC4 in Arabidopsis and soybean enhances resistance/reduces susceptibility to viruses, bacteria, fungi, aphids, and soybean cyst ...


Conditional Causal Mediation Analysis Of Factors Associated With Cover Crop Adoption In Iowa, Usa, Danhyang Lee, J. Gordon Arbuckle, Zhengyuan Zhu, Laurie Nowatzke Aug 2019

Conditional Causal Mediation Analysis Of Factors Associated With Cover Crop Adoption In Iowa, Usa, Danhyang Lee, J. Gordon Arbuckle, Zhengyuan Zhu, Laurie Nowatzke

J. Gordon Arbuckle

The Iowa Nutrient Reduction Strategy is a statewide effort that aims to encourage voluntary adoption of conservation practices by farmers to reduce the loss of nitrogen and phosphorus that contribute to water quality impairments in the Upper Midwest and drive hypoxic conditions in the Gulf of Mexico. This work is an analysis of the first 2 years (2015–2016) of a 5‐year survey of Iowa farmers. We employ causal mediation analysis to examine the direct and indirect effects of key explanatory variables (e.g., information sources, nutrient management influences, involvement in watershed management activities, and conservation technical assistance) and ...