Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

PDF

Iowa State University

Plant Sciences

Keyword
Publication Year
Publication
Publication Type

Articles 31 - 60 of 12145

Full-Text Articles in Entire DC Network

Community-Driven Metadata Standards For Agricultural Microbiome Research, J. P. Dundore-Arias, E. A. Eloe-Fadrosh, L. M. Schriml, Gwyn A. Beattie, F. P. Brennan, P. E. Busby, R. B. Calderon, S. C. Castle, J. B. Emerson, S. E. Everhart, K. Eversole, K. E. Frost, J. R. Herr, A. I. Huerta, A. S. Iyer-Pascuzzi, A. K. Kalil, J. E. Leach, J. Leonard, J. E. Maul, B. Prithiviraj, M. Potrykus, N. R. Redekar, J. A. Rojas, K. A. T. Silverstein, D. J. Tomso, S. G. Tringe, B. A. Vinatzer, L. L. Kinkel Jan 2020

Community-Driven Metadata Standards For Agricultural Microbiome Research, J. P. Dundore-Arias, E. A. Eloe-Fadrosh, L. M. Schriml, Gwyn A. Beattie, F. P. Brennan, P. E. Busby, R. B. Calderon, S. C. Castle, J. B. Emerson, S. E. Everhart, K. Eversole, K. E. Frost, J. R. Herr, A. I. Huerta, A. S. Iyer-Pascuzzi, A. K. Kalil, J. E. Leach, J. Leonard, J. E. Maul, B. Prithiviraj, M. Potrykus, N. R. Redekar, J. A. Rojas, K. A. T. Silverstein, D. J. Tomso, S. G. Tringe, B. A. Vinatzer, L. L. Kinkel

Plant Pathology and Microbiology Publications

Accelerating the pace of microbiome science to enhance crop productivity and agroecosystem health will require transdisciplinary studies, comparisons among datasets, and synthetic analyses of research from diverse crop management contexts. However, despite the widespread availability of crop-associated microbiome data, variation in field sampling and laboratory processing methodologies, as well as metadata collection and reporting, significantly constrains the potential for integrative and comparative analyses. Here we discuss the need for agriculture-specific metadata standards for microbiome research, and propose a list of “required” and “desirable” metadata categories and ontologies essential to be included in a future minimum information metadata standards checklist for ...


Nutrient Availability Controls The Impact Of Mammalian Herbivores On Soil Carbon And Nitrogen Pools In Grasslands, Judith Sitters, Lori A. Biederman, Et Al. Jan 2020

Nutrient Availability Controls The Impact Of Mammalian Herbivores On Soil Carbon And Nitrogen Pools In Grasslands, Judith Sitters, Lori A. Biederman, Et Al.

Ecology, Evolution and Organismal Biology Publications

Grasslands are subject to considerable alteration due to human activities globally, including widespread changes in populations and composition of large mammalian herbivores and elevated supply of nutrients. Grassland soils remain important reservoirs of carbon (C) and nitrogen (N). Herbivores may affect both C and N pools and these changes likely interact with increases in soil nutrient availability. Given the scale of grassland soil fluxes, such changes can have striking consequences for atmospheric C concentrations and the climate. Here, we use the Nutrient Network experiment to examine the responses of soil C and N pools to mammalian herbivore exclusion across 22 ...


Predicting Crop Yields And Soil‐Plant Nitrogen Dynamics In The Us Corn Belt, Sotirios V. Archontoulis, Michael J. Castellano, Mark A. Licht, Virginia Nichols, Mitch Baum, Isaiah Huber, Rafael Martinez-Feria, Laila Puntel, Raziel A. Ordonez, Javed Iqbal, Emily E. Wright, Ranae N. Dietzel, Matthew Helmers, Andy Vanloocke, Matt Liebman, Jerry L. Hatfield, Daryl Herzmann, S. Carolina Córdova, Patrick Edmonds, Kaitlin Togliatti, Ashlyn Kessler, Gerasimos Danalatos, Heather Pasley, Carl Pederson, Kendall R. Lamkey Jan 2020

Predicting Crop Yields And Soil‐Plant Nitrogen Dynamics In The Us Corn Belt, Sotirios V. Archontoulis, Michael J. Castellano, Mark A. Licht, Virginia Nichols, Mitch Baum, Isaiah Huber, Rafael Martinez-Feria, Laila Puntel, Raziel A. Ordonez, Javed Iqbal, Emily E. Wright, Ranae N. Dietzel, Matthew Helmers, Andy Vanloocke, Matt Liebman, Jerry L. Hatfield, Daryl Herzmann, S. Carolina Córdova, Patrick Edmonds, Kaitlin Togliatti, Ashlyn Kessler, Gerasimos Danalatos, Heather Pasley, Carl Pederson, Kendall R. Lamkey

Agronomy Publications

We used the Agricultural Production Systems sIMulator (APSIM) to predict and explain maize and soybean yields, phenology, and soil water and nitrogen (N) dynamics during the growing season in Iowa, USA. Historical, current and forecasted weather data were used to drive simulations, which were released in public four weeks after planting. In this paper, we (1) describe the methodology used to perform forecasts; (2) evaluate model prediction accuracy against data collected from 10 locations over four years; and (3) identify inputs that are key in forecasting yields and soil N dynamics. We found that the predicted median yield at planting ...


Deconstructing The Genetic Architecture Of Iron Deficiency Chlorosis In Soybean Using Genome-Wide Approaches, Teshale Assefa, Jiaoping Zhang, R. V. Chowda-Reddy, Adrienne N. Moran Lauter, Arti Singh, Jamie A. O'Rourke, Michelle A. Graham, Asheesh K. Singh Jan 2020

Deconstructing The Genetic Architecture Of Iron Deficiency Chlorosis In Soybean Using Genome-Wide Approaches, Teshale Assefa, Jiaoping Zhang, R. V. Chowda-Reddy, Adrienne N. Moran Lauter, Arti Singh, Jamie A. O'Rourke, Michelle A. Graham, Asheesh K. Singh

Agronomy Publications

Background: Iron (Fe) is an essential micronutrient for plant growth and development. Iron deficiency chlorosis (IDC), caused by calcareous soils or high soil pH, can limit iron availability, negatively affecting soybean (Glycine max) yield. This study leverages genome-wide association study (GWAS) and a genome-wide epistatic study (GWES) with previous gene expression studies to identify regions of the soybean genome important in iron deficiency tolerance.

Results: A GWAS and a GWES were performed using 460 diverse soybean PI lines from 27 countries, in field and hydroponic iron stress conditions, using more than 36,000 single nucleotide polymorphism (SNP) markers. Combining this ...


Extracting Agronomic Information From Smos Vegetation Optical Depth In The Us Corn Belt Using A Nonlinear Hierarchical Model, Colin Lewis-Beck, Victoria A. Walker, Jarad Niemi, Petrutza Caragea, Brian K. Hornbuckle Jan 2020

Extracting Agronomic Information From Smos Vegetation Optical Depth In The Us Corn Belt Using A Nonlinear Hierarchical Model, Colin Lewis-Beck, Victoria A. Walker, Jarad Niemi, Petrutza Caragea, Brian K. Hornbuckle

Statistics Publications

Remote sensing observations that vary in response to plant growth and senescence can be used to monitor crop development within and across growing seasons. Identifying when crops reach specific growth stages can improve harvest yield prediction and quantify climate change. Using the Level 2 vegetation optical depth (VOD) product from the European Space Agency’s Soil Moisture and Ocean Salinity (SMOS) satellite, we retrospectively estimate the timing of a key crop development stage in the United States Corn Belt. We employ nonlinear curves nested within a hierarchical modeling framework to extract the timing of the third reproductive development stage of ...


Dominant Native And Non‐Native Graminoids Differ In Key Leaf Traits Irrespective Of Nutrient Availability, Arthur A. D. Broadbent, Jennifer Firn, James M. Mcgree, Elizabeth T. Borer, Yvonne M. Buckley, W. Stanley Harpole, Kimberly J. Komatsu, Andrew S. Macdougall, Kate H. Orwin, Nicholas J. Ostle, Eric W. Seabloom, Jonathan D. Bakker, Lori Biederman, Maria C. Caldeira, Nico Eisenhauer, Nicole Hagenah, Yann Hautier, Joslin L. Moore, Carla Nogueira, Pablo L. Peri, Anita C. Risch, Christine Roscher, Martin Schütz, Carly J. Stevens Jan 2020

Dominant Native And Non‐Native Graminoids Differ In Key Leaf Traits Irrespective Of Nutrient Availability, Arthur A. D. Broadbent, Jennifer Firn, James M. Mcgree, Elizabeth T. Borer, Yvonne M. Buckley, W. Stanley Harpole, Kimberly J. Komatsu, Andrew S. Macdougall, Kate H. Orwin, Nicholas J. Ostle, Eric W. Seabloom, Jonathan D. Bakker, Lori Biederman, Maria C. Caldeira, Nico Eisenhauer, Nicole Hagenah, Yann Hautier, Joslin L. Moore, Carla Nogueira, Pablo L. Peri, Anita C. Risch, Christine Roscher, Martin Schütz, Carly J. Stevens

Ecology, Evolution and Organismal Biology Publications

Aim: Nutrient enrichment is associated with plant invasions and biodiversity loss. Functional trait advantages may predict the ascendancy of invasive plants following nutrient enrichment but this is rarely tested. Here, we investigate (a) whether dominant native and non-native plants differ in important morphological and physiological leaf traits, (b) how their traits respond to nutrient addition, and (c) whether responses are consistent across functional groups.

Location: Australia, Europe, North America and South Africa.

Time period: 2007–2014.

Major taxa studied: Graminoids and forbs.

Methods: We focused on two types of leaf traits connected to resource acquisition: morphological features relating to light-foraging ...


Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang Jan 2020

Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Genomic selection is a technique that breeders use to select plant or animal individuals to mate and produce new generations of species. The conventional selection method is to select individuals that are either observed or predicted to be the best based on the assumption that parents with better phenotypes will produce better offspring. A major limitation of this method is its focus on the short‐term genetic gains at the cost of genetic diversity and long‐term growth potential. Recently, several new genomic selection methods were proposed to maximize the long‐term potential. Along this research direction, we propose a ...


Forecasting Corn Yield With Machine Learning Ensembles, Mohsen Shahhosseini, Guiping Hu, Sotirios Archontoulis Jan 2020

Forecasting Corn Yield With Machine Learning Ensembles, Mohsen Shahhosseini, Guiping Hu, Sotirios Archontoulis

Industrial and Manufacturing Systems Engineering Publications

The emerge of new technologies to synthesize and analyze big data with high-performance computing, has increased our capacity to more accurately predict crop yields. Recent research has shown that Machine learning (ML) can provide reasonable predictions, faster, and with higher flexibility compared to simulation crop modeling. The earlier the prediction during the growing season the better, but this has not been thoroughly investigated as previous studies considered all data available to predict yields. This paper provides a machine learning based framework to forecast corn yields in three US Corn Belt states (Illinois, Indiana, and Iowa) considering complete and partial in-season ...


Combination Of Biological And Chemical Soil Tests Best Predict Maize Nitrogen Response, Marshall D. Mcdaniel, D. T. Walters, L. G. Bundy, X. Li, R. A. Drijber, John E. Sawyer, Michael J. Castellano, C. A. M. Laboski, P. C. Scharf, W. R. Horwath Jan 2020

Combination Of Biological And Chemical Soil Tests Best Predict Maize Nitrogen Response, Marshall D. Mcdaniel, D. T. Walters, L. G. Bundy, X. Li, R. A. Drijber, John E. Sawyer, Michael J. Castellano, C. A. M. Laboski, P. C. Scharf, W. R. Horwath

Agronomy Publications

Soil tests can help optimize nitrogen (N) fertilizer rates, thereby improving farmer profitability and environmental performance. In US Midwest maize (Zea mays) production, however, most soil N tests have limited accuracy to predict N fertilizer requirements. Here we tested the individual and combined ability of 30 soil tests (12 rapid N extractions, seven biological carbon or N tests, six long‐term incubation kinetic parameters, and five other routine soil tests), as well as environmental and management data, to predict maize response to N fertilizer across 56 site‐years in the US Midwest. Out of 30 soil tests, and across all ...


Genotype By Location Effects On Yield And Seed Nutrient Composition Of Common Bean, Rosemary Bulyaba, Donna M. Winham, Andrew W. Lenssen, Kenneth J. Moore, James D. Kelly, Mark A. Brick, Evan M. Wright, James B. Ogg Jan 2020

Genotype By Location Effects On Yield And Seed Nutrient Composition Of Common Bean, Rosemary Bulyaba, Donna M. Winham, Andrew W. Lenssen, Kenneth J. Moore, James D. Kelly, Mark A. Brick, Evan M. Wright, James B. Ogg

Agronomy Publications

Common bean (Phaseolus vulgaris L.) is an important staple food crop in households worldwide. Genotype and location influence phenotypic nutrient composition. However, there are limited data on the magnitude of this variation for common bean yield and nutritive value. The objective of this study was to determine the effect of location on yield and seed nutritional composition. Four globally important varieties (dark red kidney/‘Montcalm’, great northern /‘Taurus’, black /‘Eclipse’ and yellow Mayocoba/‘MY06326’) were planted for two years in four locations (Iowa, Colorado, Michigan, in the USA, and Masaka, Uganda). Yield and seed weight differed among locations and varieties ...


Genomic Prediction Of Maternal Haploid Induction Rate In Maize, Vinícius Costa Almeida, Henrique Uliana Trentin, Ursula Karoline Frei, Thomas Lubberstedt Jan 2020

Genomic Prediction Of Maternal Haploid Induction Rate In Maize, Vinícius Costa Almeida, Henrique Uliana Trentin, Ursula Karoline Frei, Thomas Lubberstedt

Agronomy Publications

Genomic prediction (GP) might be an efficient way to improve haploid induction rate (HIR) and to reduce the laborious and time‐consuming task of phenotypic selection for HIR in maize (Zea mays L.). In this study, we evaluated GP accuracies for HIR and other agronomic traits of importance to inducers by independent and cross‐validation. We propose the use of GP for cross prediction and parental selection in the development of new inducer breeding populations. A panel of 159 inducers from Iowa State University (ISU set) was genotyped and phenotyped for HIR and several agronomic traits. The data of an ...


Spectrally Derived Values Of Community Leaf Dry Matter Content Link Shifts In Grassland Composition With Change In Biomass Production, H. Wayne Polley, Chenghai Yang, Brian J. Wilsey, Philip A. Fay Jan 2020

Spectrally Derived Values Of Community Leaf Dry Matter Content Link Shifts In Grassland Composition With Change In Biomass Production, H. Wayne Polley, Chenghai Yang, Brian J. Wilsey, Philip A. Fay

Ecology, Evolution and Organismal Biology Publications

Leaf traits link environmental effects on plant species abundances to changes in ecosystem processes but are a challenge to measure regularly and over large areas. We used measurements of canopy reflectance from grassland communities to derive a regression model for one leaf trait, leaf dry matter content (LDMC). Partial least squares regression (PLSR) analysis was used to model community‐weighted (species abundance‐weighted) values of LDMC as a function of canopy reflectance in visible and near‐infrared (NIR) wavebands. The PLSR model then was applied to airborne measurements of canopy reflectance to determine how community LDMC interacts with inter‐annual ...


Nutrient Addition Increases Grassland Sensitivity To Droughts, Siddharth Bharath, Elizabeth T. Borer, Lori A. Biederman, Dana M. Blumenthal, Philip A. Fay, Laureano A. Gherardi, Johannes M. H. Knops, Andrew D. B. Leakey, Laura Yahdjian, Eric W. Seabloom Jan 2020

Nutrient Addition Increases Grassland Sensitivity To Droughts, Siddharth Bharath, Elizabeth T. Borer, Lori A. Biederman, Dana M. Blumenthal, Philip A. Fay, Laureano A. Gherardi, Johannes M. H. Knops, Andrew D. B. Leakey, Laura Yahdjian, Eric W. Seabloom

Ecology, Evolution and Organismal Biology Publications

Grasslands worldwide are expected to experience an increase in extreme events such as drought, along with simultaneous increases in mineral nutrient inputs as a result of human industrial activities. These changes are likely to interact because elevated nutrient inputs may alter plant diversity and increase the sensitivity to droughts. Dividing a system’s sensitivity to drought into resistance to change during the drought and rate of recovery after the drought generates insights into different dimensions of the system’s resilience in the face of drought. Here, we examine the effects of experimental nutrient fertilization and the resulting diversity loss on ...


Whole-Profile Soil Organic Matter Content, Composition, And Stability Under Cropping Systems That Differ In Belowground Inputs, Hanna J. Poffenbarger, Daniel C. Olk, Cynthia Cambardella, Jordan Kersey, Matthew Z. Liebman, Antonio Mallarino, Johan Six, Michael J. Castellano Jan 2020

Whole-Profile Soil Organic Matter Content, Composition, And Stability Under Cropping Systems That Differ In Belowground Inputs, Hanna J. Poffenbarger, Daniel C. Olk, Cynthia Cambardella, Jordan Kersey, Matthew Z. Liebman, Antonio Mallarino, Johan Six, Michael J. Castellano

Agronomy Publications

Subsoils have been identified as a potential carbon sink because they typically have low soil organic carbon (SOC) concentrations and high SOC stability. One proposed strategy to increase SOC stocks is to enhance C inputs to the subsoil by increasing crop rotation diversity with deep-rooted perennial crops. Using three long-term field trials in Iowa (study durations of 60, 35, and 12 years), we examined the effects of contrasting cropping systems [maize (Zea mays L.)-soybean (Glycine max (L.) Merr) (= two-year system) vs. maize-soybean-oat (Avena sativa L.)/alfalfa (Medicago sativa L.)-alfalfa or maize-maize-oat/alfalfa-alfalfa (= four-year system)] on above- and below-ground ...


Establishing Winter Annual Cover Crops By Interseeding Into Maize And Soybean, Yesuf Assen Mohammed, Heather L. Matthees, Russ W. Gesch, Swetabh Patel, Frank Forcella, Kyle Aasand, Nicholas Steffl, Burton L. Johnson, M. Scott Wells, Andrew W. Lenssen Jan 2020

Establishing Winter Annual Cover Crops By Interseeding Into Maize And Soybean, Yesuf Assen Mohammed, Heather L. Matthees, Russ W. Gesch, Swetabh Patel, Frank Forcella, Kyle Aasand, Nicholas Steffl, Burton L. Johnson, M. Scott Wells, Andrew W. Lenssen

Agronomy Publications

The limited time available for cover crop establishment after maize (Zea mays L.) and soybean [Glycine max (L.) Merr.] harvest is one of the main reasons for low cover crop adoption in the upper Midwest. Therefore, a 2‐yr multilocation study was conducted to evaluate winter annual cover crops establishment, their effect on main crop grain yields, and soil water content when interseeded into standing maize and soybean. Treatments were three interseeding dates (broadcasting at R4, R5, and R6 growth stages for maize, and R6, R7, and R8 for soybean) and three cover crops (winter camelina [WC] [Camelina sativa L ...


Dynamics Of Corn Dry Matter Content And Grain Quality After Physiological Maturity, Md Rasel Parvej, Charles R. Hurburgh, H. Mark Hanna, Mark A. Licht Jan 2020

Dynamics Of Corn Dry Matter Content And Grain Quality After Physiological Maturity, Md Rasel Parvej, Charles R. Hurburgh, H. Mark Hanna, Mark A. Licht

Agronomy Publications

Delayed corn (Zea mays L.) harvest after physiological maturity (PM) is a universal practice in the U.S. Corn Belt to reduce grain drying cost. However, corn yield is speculated to be lost due to kernel dry matter loss from seed respiration. We evaluated the impact of in‐field dry down on corn dry matter content and grain quality after PM at two locations in Iowa during 2016 and 2017. Each site‐year consisted of two planting dates and three hybrids where ears were collected six to eight times from PM to harvest. Regardless of site‐year and hybrid, grain ...


Efficacy Of A Cry1ab Gene For Control Of Maruca Vitrata (Lepidoptera: Crambidae) In Cowpea (Fabales: Fabaceae), Prince C. Addae, Mohammad F. Ishiyaku, Jean-Batiste Tignegre, Malick N. Ba, Joseph B. Bationo, Ibrahim D. K. Atokple, Mumuni Abudulai, Clémentine L. Dabiré-Binso, Fousséni Traore, Mohammed Saba, Muhammed L. Umar, Gloria A. Adazebra, Francis N. Onyekachi, Margaret A. Nemeth, Joseph E. Huesing, Larry R. Beach, Thomas J. V. Higgins, Richard L. Hellmich, Barry R. Pittendrigh Jan 2020

Efficacy Of A Cry1ab Gene For Control Of Maruca Vitrata (Lepidoptera: Crambidae) In Cowpea (Fabales: Fabaceae), Prince C. Addae, Mohammad F. Ishiyaku, Jean-Batiste Tignegre, Malick N. Ba, Joseph B. Bationo, Ibrahim D. K. Atokple, Mumuni Abudulai, Clémentine L. Dabiré-Binso, Fousséni Traore, Mohammed Saba, Muhammed L. Umar, Gloria A. Adazebra, Francis N. Onyekachi, Margaret A. Nemeth, Joseph E. Huesing, Larry R. Beach, Thomas J. V. Higgins, Richard L. Hellmich, Barry R. Pittendrigh

Entomology Publications

Cowpea [Vigna unguiculata (L) Walp.] is an important staple legume in the diet of many households in sub-Saharan Africa. Its production, however, is negatively impacted by many insect pests including bean pod borer, Maruca vitrata F., which can cause 20–80% yield loss. Several genetically engineered cowpea events that contain a cry1Ab gene from Bacillus thuringiensis (Bt) for resistance against M. vitrata were evaluated in Nigeria, Burkina Faso, and Ghana (West Africa), where cowpea is commonly grown. As part of the regulatory safety package, these efficacy data were developed and evaluated by in-country scientists. The Bt-cowpea lines were planted in ...


Soil Depth And Grassland Origin Cooperatively Shape Microbial Community Co‐Occurrence And Function, Racheal N. Upton, Aleksandra Checinska Sielaff, Kirsten S. Hofmockel, Xia Xu, H. Wayne Polley, Brian J. Wilsey Jan 2020

Soil Depth And Grassland Origin Cooperatively Shape Microbial Community Co‐Occurrence And Function, Racheal N. Upton, Aleksandra Checinska Sielaff, Kirsten S. Hofmockel, Xia Xu, H. Wayne Polley, Brian J. Wilsey

Ecology, Evolution and Organismal Biology Publications

Many soils are deep, yet soil below 20 cm remains largely unexplored. Exotic plants can have shallower roots than native species, so their impact on microorganisms is anticipated to change with depth. Using environmental DNA and extracellular enzymatic activities, we studied fungal and bacterial community composition, diversity, function, and co-occurrence networks between native and exotic grasslands at soil depths up to 1 m. We hypothesized (1) the composition and network structure of both fungal and bacterial communities will change with increasing depth, and diversity and enzymatic function will decrease; (2) microbial enzymatic function and network connectedness will be lower in ...


Milkweed (Asclepias Syriaca) Plant Detection Using Mobile Cameras, Koray Ozcan, Anuj Sharma, Steven P. Bradbury, Dana Schweitzer, Teresa Blader, Sue Blodgett Jan 2020

Milkweed (Asclepias Syriaca) Plant Detection Using Mobile Cameras, Koray Ozcan, Anuj Sharma, Steven P. Bradbury, Dana Schweitzer, Teresa Blader, Sue Blodgett

Natural Resource Ecology and Management Publications

Milkweed (Asclepias spp.) are host plants of monarch butterflies (Danaus plexippus). It is important to detect milkweed plant locations to assess the status and trends of monarch habitat in support of monarch conservation programs. In this paper, we describe autonomous detection of milkweed plants using cameras mounted to vehicles. For detection, we used both aggregated channel features (ACF) for running the detectors on embedded computing platforms with central processing unit and faster region‐based convolutional neural network (Faster R‐CNN) with a ResNet architecture‐based detector that is suitable for graphics processing unit optimized processing. The ACF‐based model produced ...


Long-Term Impact Of Poultry Manure On Crop Yield, Soil And Water Quality, And Crop Revenue, Natasha L. Hoover, Ji Yeow Law, Leigh Ann M. Long, Rameshwar S. Kanwar, Michelle L. Soupir Dec 2019

Long-Term Impact Of Poultry Manure On Crop Yield, Soil And Water Quality, And Crop Revenue, Natasha L. Hoover, Ji Yeow Law, Leigh Ann M. Long, Rameshwar S. Kanwar, Michelle L. Soupir

Agricultural and Biosystems Engineering Publications

A long-term poultry manure fertilizer study was initiated in 1998 and continued until 2009 under corn-soybean (CS) rotation. To match changing landscape trends, the plots were switched to continuous corn (CC) from 2010 to 2017. In both CS and CC phases, poultry manure (PM) was applied at the crop rotation recommended agronomic N rate and either half (CC phase) or double (CS phase) the recommended rate. Urea-ammonium nitrate (UAN) was applied to comparison plots at the crop recommended application rate (168 kg N ha−1 and 224 kg N ha−1 for the CS and CC phases, respectively) throughout the ...


Using A Crop Modeling Framework For Precision Cost-Benefit Analysis Of Variable Seeding And Nitrogen Application Rates, Gabriel Mcnunn, Emily Heaton, Sotirios Archontoulis, Mark A. Licht, Andy Vanloocke Dec 2019

Using A Crop Modeling Framework For Precision Cost-Benefit Analysis Of Variable Seeding And Nitrogen Application Rates, Gabriel Mcnunn, Emily Heaton, Sotirios Archontoulis, Mark A. Licht, Andy Vanloocke

Agronomy Publications

A key goal of precision agriculture is to achieve the maximum crop yield while minimizing inputs and loses from cropping systems. The challenge for precision agriculture is that these factors interact with one another on a subfield scale. Seeding density and nitrogen (N) fertilizer application rates are two of the most important inputs influencing agronomic, economic and environmental outcomes in cropping systems including yield, return on investment (ROI), and nitrate (NO3−) leaching. Here a cropping system model framework is used to predict site-specific subfield optimum seeding density and (N) fertilizer application rates based on publicly available data sources. The framework ...


Assessing Plant Performance In The Enviratron, Yin Bao, Scott Zarecor, Dylan Shah, Taylor Tuel, Darwin A. Campbell, Antony V. E. Chapman, David Imberti, Daniel Kiekhaefer, Henry Imberti, Thomas Lubberstedt, Yanhai Yin, Dan Nettleton, Carolyn J. Lawrence-Dill, Steven A. Whitham, Lie Tang, Stephen H. Howell Dec 2019

Assessing Plant Performance In The Enviratron, Yin Bao, Scott Zarecor, Dylan Shah, Taylor Tuel, Darwin A. Campbell, Antony V. E. Chapman, David Imberti, Daniel Kiekhaefer, Henry Imberti, Thomas Lubberstedt, Yanhai Yin, Dan Nettleton, Carolyn J. Lawrence-Dill, Steven A. Whitham, Lie Tang, Stephen H. Howell

Agricultural and Biosystems Engineering Publications

Background: Assessing the impact of the environment on plant performance requires growing plants under controlled environmental conditions. Plant phenotypes are a product of genotype × environment (G × E), and the Enviratron at Iowa State University is a facility for testing under controlled conditions the effects of the environment on plant growth and development. Crop plants (including maize) can be grown to maturity in the Enviratron, and the performance of plants under different environmental conditions can be monitored 24 h per day, 7 days per week throughout the growth cycle.

Results: The Enviratron is an array of custom-designed plant growth chambers that ...


Choosing A Corn Hybrid Or Soybean Variety, Mark A. Licht Nov 2019

Choosing A Corn Hybrid Or Soybean Variety, Mark A. Licht

Integrated Crop Management News

Choosing corn hybrids and soybean varieties is one of the most important crop management decisions to be made. It is a hard decision to make because it is typically made months before the growing season begins. This article will explore where to find yield trial information, how to interpret yield trials, and what to consider in selecting cultivars.


Machine Learning Approach For Prescriptive Plant Breeding, Kyle A. Parmley, Race H. Higgins, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh Nov 2019

Machine Learning Approach For Prescriptive Plant Breeding, Kyle A. Parmley, Race H. Higgins, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh

Mechanical Engineering Publications

We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide plant breeders the tools to do both in-season seed yield (SY) prediction and prescriptive cultivar development for targeted agro-management practices (e.g., row spacing and seeding density). We phenotyped 32 SoyNAM parent genotypes in two independent studies each with contrasting agro-management treatments (two row spacing, three seeding densities). Phenotypic trait data (canopy temperature, chlorophyll content, hyperspectral reflectance, leaf area index, and light interception) were generated using an array of sensors at three growth stages during the growing season and seed ...


Considerations For Continuous Corn, Mark A. Licht Nov 2019

Considerations For Continuous Corn, Mark A. Licht

Integrated Crop Management News

Continuous corn is a "three strikes and you’re out" situation. And the first strike is automatic – high residue volume. This is how a farmer recently described it to me.


A Meta-Analysis Of Global Fungal Distribution Reveals Climate-Driven Patterns, Tomáš Větrovský, Petr Kohout, Martin Kopecký, Antonin Machac, Matěj Man, Barbara Doreen Bahnmann, Vendula Brabcová, Jinlyung Choi, Lenka Meszárošová, Zander Rainier Human, Clémentine Lepinay, Salvador Lladó, Rubén López-Mondéjar, Tijana Martinović, Tereza Mašínová, Daniel Morais, Diana Navrátilová, Iñaki Odriozola, Martina Štursová, Karel Švec, Vojtěch Tláskal, Michaela Urbanová, Joe Wan, Lucia Žifčáková, Adina Howe, Joshua Ladau, Kabir Gabriel Peay, David Storch, Jan Wild, Petr Baldrian Nov 2019

A Meta-Analysis Of Global Fungal Distribution Reveals Climate-Driven Patterns, Tomáš Větrovský, Petr Kohout, Martin Kopecký, Antonin Machac, Matěj Man, Barbara Doreen Bahnmann, Vendula Brabcová, Jinlyung Choi, Lenka Meszárošová, Zander Rainier Human, Clémentine Lepinay, Salvador Lladó, Rubén López-Mondéjar, Tijana Martinović, Tereza Mašínová, Daniel Morais, Diana Navrátilová, Iñaki Odriozola, Martina Štursová, Karel Švec, Vojtěch Tláskal, Michaela Urbanová, Joe Wan, Lucia Žifčáková, Adina Howe, Joshua Ladau, Kabir Gabriel Peay, David Storch, Jan Wild, Petr Baldrian

Agricultural and Biosystems Engineering Publications

The evolutionary and environmental factors that shape fungal biogeography are incompletely understood. Here, we assemble a large dataset consisting of previously generated mycobiome data linked to specific geographical locations across the world. We use this dataset to describe the distribution of fungal taxa and to look for correlations with different environmental factors such as climate, soil and vegetation variables. Our meta-study identifies climate as an important driver of different aspects of fungal biogeography, including the global distribution of common fungi as well as the composition and diversity of fungal communities. In our analysis, fungal diversity is concentrated at high latitudes ...


Scn-Resistant Soybean Varieties For 2020, Gregory L. Tylka Nov 2019

Scn-Resistant Soybean Varieties For 2020, Gregory L. Tylka

Integrated Crop Management News

Resistant varieties continue to be a key tool for managing the soybean cyst nematode (SCN). With financial support from the soybean checkoff through the Iowa Soybean Association, Iowa State University annually compiles a list of SCN-resistant soybean varieties that are available for use in Iowa.


Corn Residue Breakdown As Affected By Tillage And N Application, Mahdi Al-Kaisi Nov 2019

Corn Residue Breakdown As Affected By Tillage And N Application, Mahdi Al-Kaisi

Integrated Crop Management News

Crop residue serves an important role in physically protecting soil from erosion during rain events or high winds, as well as enhancing the soil biological activity by providing sources of organic carbon and nitrogen for its energy needs. In order to understand how residue decomposes, we need to understand how the degradation processes are influenced by environmental and soil conditions; namely, air and soil temperatures, soil moisture availability, soil pH, oxygen, and type of microbial community. The composition of crop residue includes lignin, cellulose, hemicellulose, and macro and micronutrients. Certain biological and enzymatic processes, controlled by a wide range of ...


Managing Scn For 2020 Should Begin Now, Gregory L. Tylka Nov 2019

Managing Scn For 2020 Should Begin Now, Gregory L. Tylka

Integrated Crop Management News

Now that the 2019 corn and soybean harvest is in full swing, it is not too early to start thinking about and planning for the 2020 growing season as well. For soybean farmers in Iowa, a critically important fall activity that can pay large dividends is soil sampling to determine soybean cyst nematode (SCN) population densities in fields in which soybeans will be grown in 2020. Also, some farmers might consider sampling fields for SCN in which soybeans were grown in 2019 that produced disappointing yields for no apparent reason. Often, SCN infestations are found in areas of fields in ...


Protein Expression And Gene Editing In Monocots Using Foxtail Mosaic Virus Vectors, Yu Mei, Bliss Beernink, Evan E. Ellison, Eva Konečná, Anjanasree K. Neelakandan, Daniel F. Voytas, Steven A. Whitham Nov 2019

Protein Expression And Gene Editing In Monocots Using Foxtail Mosaic Virus Vectors, Yu Mei, Bliss Beernink, Evan E. Ellison, Eva Konečná, Anjanasree K. Neelakandan, Daniel F. Voytas, Steven A. Whitham

Plant Pathology and Microbiology Publications

Plant viruses can be engineered to carry sequences that direct silencing of target host genes, expression of heterologous proteins, or editing of host genes. A set of foxtail mosaic virus (FoMV) vectors was developed that can be used for transient gene expression and single guide RNA delivery for Cas9‐mediated gene editing in maize, Setaria viridis, and Nicotiana benthamiana. This was accomplished by duplicating the FoMV capsid protein subgenomic promoter, abolishing the unnecessary open reading frame 5A, and inserting a cloning site containing unique restriction endonuclease cleavage sites immediately after the duplicated promoter. The modified FoMV vectors transiently expressed green ...