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- Air inclusion nozzle; crop oil concentrate; drift reducing adjuvant; methylated seed oil; non-air inclusion nozzle; non-ionic surfactant; soybeans (1)
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Articles 1 - 30 of 88
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Domestication Reshaped The Genetic Basis Of Inbreeding Depression In A Maize Landrace Compared To Its Wild Relative, Teosinte, Luis Fernando Samayoa, Bode A. Olukolu, Chin Jian Yang, Qiuyue Chen, Markus G. Stetter, Alessandra M. York, Jose De Jesus Sanchez-Gonzalez, Jeffrey C. Glaubitz, Peter J. Bradbury, Maria Cinta Romay, Qi Sun, Jinliang Yang, Jeffrey Ross-Ibarra, Edward S. Buckler, John F. Doebley, James B. Holland
Domestication Reshaped The Genetic Basis Of Inbreeding Depression In A Maize Landrace Compared To Its Wild Relative, Teosinte, Luis Fernando Samayoa, Bode A. Olukolu, Chin Jian Yang, Qiuyue Chen, Markus G. Stetter, Alessandra M. York, Jose De Jesus Sanchez-Gonzalez, Jeffrey C. Glaubitz, Peter J. Bradbury, Maria Cinta Romay, Qi Sun, Jinliang Yang, Jeffrey Ross-Ibarra, Edward S. Buckler, John F. Doebley, James B. Holland
Department of Agronomy and Horticulture: Faculty Publications
Inbreeding depression is the reduction in fitness and vigor resulting from mating of close relatives observed in many plant and animal species. The extent to which the genetic load of mutations contributing to inbreeding depression is due to large-effect mutations versus variants with very small individual effects is unknown and may be affected by population history. We compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte. Inbreeding depression was greater in maize than teosinte for 15 of …
Identification Of Candidate Genes And Genomic Regions Associated With Adult Plant Resistance To Stripe Rust In Spring Wheat, Amira M. I. Mourad, Mohamed A. Abou-Zeid, Shamseldeen Eltaher, P. Stephen Baenziger, Andreas Börner
Identification Of Candidate Genes And Genomic Regions Associated With Adult Plant Resistance To Stripe Rust In Spring Wheat, Amira M. I. Mourad, Mohamed A. Abou-Zeid, Shamseldeen Eltaher, P. Stephen Baenziger, Andreas Börner
Department of Agronomy and Horticulture: Faculty Publications
Wheat stripe rust (caused by Puccinia striiformis f. sp. tritici) is a major disease that damages wheat plants and affects wheat yield all over the world. In recent years, stripe rust became a major problem that affects wheat yield in Egypt. New races appeared and caused breakdowns in the resistant genotypes. To improve resistance in the Egyptian genotypes, new sources of resistance are urgently needed. In the recent research, a set of 95 wheat genotypes collected from 19 countries, including Egypt, were evaluated for their resistance against the Egyptian race(s) of stripe rust under field conditions in the two …
Relationships Among College-Level Science Course Enrollment, Environmental Perception, And Pro-Environmental Attitude: Evidence From The Us General Social Survey, Mazbahul G. Ahamad, Fahian Tanin
Relationships Among College-Level Science Course Enrollment, Environmental Perception, And Pro-Environmental Attitude: Evidence From The Us General Social Survey, Mazbahul G. Ahamad, Fahian Tanin
Department of Agronomy and Horticulture: Faculty Publications
Understanding pro-environmental attitudes is critical to encouraging pollution-minimizing behaviors. Therefore, identifying associated factors is essential for understanding different types of pro-environmental attitudes. We aimed to investigate the associations among individuals’ college-level science course enrollment and their perceptions of the level of spending to improve and protect the environment, as well as their pro-environmental attitudes. We used nationwide population-based cross-sectional survey data from 2,348 individuals obtained from the General Social Survey in the United States. An ordered logistic model was used to examine the associations among college-level science course enrollment, environmental perception, and pro-environmental attitude. We found that science course enrollment …
Cold Conditioned: Discovery Of Novel Alleles For Low-Temperature Tolerance In The Vavilov Barley Collection, Ahmad H. Sallam, Kevin P. Smith, Gongshe Hu, Jamie Sherman, Peter Stephen Baeziger, Jochum Wiersma, Carl Duley, Eric J. Stockinger, Mark E. Sorrells, Tamas Szinyei, Igor G. Loskutov, Olga N. Kovaleva, Jed Eberly, Brian J. Steffenson
Cold Conditioned: Discovery Of Novel Alleles For Low-Temperature Tolerance In The Vavilov Barley Collection, Ahmad H. Sallam, Kevin P. Smith, Gongshe Hu, Jamie Sherman, Peter Stephen Baeziger, Jochum Wiersma, Carl Duley, Eric J. Stockinger, Mark E. Sorrells, Tamas Szinyei, Igor G. Loskutov, Olga N. Kovaleva, Jed Eberly, Brian J. Steffenson
Department of Agronomy and Horticulture: Faculty Publications
Climate changes leading to higher summer temperatures can adversely affect cool season crops like spring barley. In the Upper Midwest region of the United States, one option for escaping this stress factor is to plant winter or facultative type cultivars in the autumn and then harvest in early summer before the onset of high-temperature stress. However, the major challenge in breeding such cultivars is incorporating sufficient winter hardiness to survive the extremely low temperatures that commonly occur in this production region. To broaden the genetic base for winter hardiness in the University of Minnesota breeding program, 2,214 accessions from the …
Sustainable Intensification For A Larger Global Rice Bowl, Shen Yuan, Bruce A. Linquist, Lloyd T. Wilson, Kenneth G. Cassman, Alexander M. Stuart, Valerien Pede, Berta Miro, Kazuki Saito, Nurwulan Agustiani, Vina Eka Aristya, Leonardus Y. Krisnadi, Alencar Junior Zanon, Alexandre Bryan Heinemann, Gonzalo Carracelas, Nataraja Subash, Pathula S. Brahmanand, Tao Li, Shaobing Peng, Patricio Grassini
Sustainable Intensification For A Larger Global Rice Bowl, Shen Yuan, Bruce A. Linquist, Lloyd T. Wilson, Kenneth G. Cassman, Alexander M. Stuart, Valerien Pede, Berta Miro, Kazuki Saito, Nurwulan Agustiani, Vina Eka Aristya, Leonardus Y. Krisnadi, Alencar Junior Zanon, Alexandre Bryan Heinemann, Gonzalo Carracelas, Nataraja Subash, Pathula S. Brahmanand, Tao Li, Shaobing Peng, Patricio Grassini
Department of Agronomy and Horticulture: Faculty Publications
Future rice systems must produce more grain while minimizing the negative environmental impacts. A key question is how to orient agricultural research & development (R&D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, energy, and associated global warming potential) across 32 rice cropping systems covering half of global rice harvested area. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production …
Climate And Agronomy, Not Genetics, Underpin Recent Maize Yield Gains In Favorable Environments, Gonzalo Rizzo, Juan Pablo Monzon, Fatima Amor Tenorio, Réka Howard, Kenneth G. Cassman, Patricio Grassini
Climate And Agronomy, Not Genetics, Underpin Recent Maize Yield Gains In Favorable Environments, Gonzalo Rizzo, Juan Pablo Monzon, Fatima Amor Tenorio, Réka Howard, Kenneth G. Cassman, Patricio Grassini
Department of Agronomy and Horticulture: Faculty Publications
Quantitative understanding of factors driving yield increases of major food crops is essential for effective prioritization of research and development. Yet previous estimates had limitations in distinguishing among contributing factors such as changing climate and new agronomic and genetic technologies. Here, we distinguished the separate contribution of these factors to yield advance using an extensive database collected from the largest irrigated maize-production domain in the world located in Nebraska (United States) during the 2005-to-2018 period. We found that 48% of the yield gain was associated with a decadal climate trend, 39% with agronomic improvements, and, by difference, only 13% with …
Seeding Rate Effects On Forage Mass And Vegetation Dynamics Of Cool-Season Grass Sod Interseeded With Sorghum-Sudangrass, John A. Guretzky, D. D. Redfearn
Seeding Rate Effects On Forage Mass And Vegetation Dynamics Of Cool-Season Grass Sod Interseeded With Sorghum-Sudangrass, John A. Guretzky, D. D. Redfearn
Department of Agronomy and Horticulture: Faculty Publications
Interseeding annual warm-season grasses into perennial cool-season grasses has the potential to increase summer forage mass and nutritive value. Knowledge of how seeding rate affects annual warm-season grass establishment, forage mass, and vegetation dynamics remains limited. From 2016–2017, we conducted a field experiment evaluating the effects of seeding rates on sorghum-sudangrass (Sorghum bicolor x S. bicolor var. sudanense) density and forage mass and on the frequency of occurrence of plant species in cool-season grass sod in Lincoln, NE. The experiment had a completely randomized design consisting of six replicates of four seeding rates [0, 14, 28, and 35 …
Impact Of Urbanization Trends On Production Of Key Staple Crops, José F. Andrade, Kenneth G. Cassman, Juan I. Rattalino Edreira, Fahmuddin Agus, Abdullahi Bala, Nanyan Deng, Patricio Grassini
Impact Of Urbanization Trends On Production Of Key Staple Crops, José F. Andrade, Kenneth G. Cassman, Juan I. Rattalino Edreira, Fahmuddin Agus, Abdullahi Bala, Nanyan Deng, Patricio Grassini
Department of Agronomy and Horticulture: Faculty Publications
Urbanization has appropriated millions of hectares of cropland, and this trend will persist as cities continue to expand. We estimate the impact of this conversion as the amount of land needed elsewhere to give the same yield potential as determined by differences in climate and soil properties. Robust spatial upscaling techniques, well-validated crop simulation models, and soil, climate, and cropping system databases are employed with a focus on populous countries with high rates of land conversion. We find that converted cropland is 30–40% more productive than new cropland, which means that projection of food production potential must account for expected …
Influence Of Surfactant-Humectant Adjuvants On Physical Properties, Droplet Size, And Efficacy Of Glufosinate Formulations, Estefania G. Polli, Guilherme S. Alves, Jesaelen Gizotti De Moraes, Greg Robert Kruger
Influence Of Surfactant-Humectant Adjuvants On Physical Properties, Droplet Size, And Efficacy Of Glufosinate Formulations, Estefania G. Polli, Guilherme S. Alves, Jesaelen Gizotti De Moraes, Greg Robert Kruger
Department of Agronomy and Horticulture: Faculty Publications
Glufosinate efficacy is inconsistent among weed species and under environmental conditions that favor rapid droplet drying. Surfactant-humectant adjuvants could maximize glufosinate efficacy by increasing wetting and penetration into the leaf surface while decreasing evaporation rate (ER). However, there is a lack of information in the literature about the interaction of surfactant-humectants adjuvants with glufosinate. The objective of this study was to investigate the influence of surfactanthumectant adjuvants on the physical properties, droplet size, and efficacy of two glufosinate formulations. Laboratory, greenhouse, and field studies were conducted at the Pesticide Application Technology Laboratory of the University of Nebraska- Lincoln. Treatment design …
Prosopis Glandulosa Persistence Is Facilitated By Differential Protection Of Buds During Low- And High-Energy Fires, Heath D. Starns, Carissa L. Wonkka, Matthew B. Dickinson, Alexandra G. Lodge, Morgan L. Treadwell, Kathleen L. Kavanagh, Douglas R. Tolleson, Dirac L. Twidwell Jr, William E. Rogers
Prosopis Glandulosa Persistence Is Facilitated By Differential Protection Of Buds During Low- And High-Energy Fires, Heath D. Starns, Carissa L. Wonkka, Matthew B. Dickinson, Alexandra G. Lodge, Morgan L. Treadwell, Kathleen L. Kavanagh, Douglas R. Tolleson, Dirac L. Twidwell Jr, William E. Rogers
Department of Agronomy and Horticulture: Faculty Publications
Rangelands worldwide have experienced significant shifts from grass-dominated to woody-plant dominated states over the past century. In North America, these shifts are largely driven by overgrazing and landscape-scale fire suppression. Such shifts reduce productivity for livestock, can have broad-scale impacts to biodiversity, and are often difficult to reverse. Restoring grass dominance often involves restoring fire as an ecological process. However, many resprouting woody plants persist following disturbance, including fire, by resprouting from protected buds, rendering fire ineffective for reducing resprouting woody plant density. Recent research has shown that extreme fire (high-energy fires during periods of water stress) may reduce resprouting …
Genome-Wide Dna Polymorphism Analysis And Molecular Marker Development For The Setaria Italica Variety “Ssr41” And Positional Cloning Of The Setaria White Leaf Sheath Gene Siwls1, Hui Zhang, Sha Tang, James C. Schnable, Qiang He, Yuanzhu Gao, Mingzhao Luo, Guanqing Jia, Baili Feng, Hui Zhi, Xianmin Diao
Genome-Wide Dna Polymorphism Analysis And Molecular Marker Development For The Setaria Italica Variety “Ssr41” And Positional Cloning Of The Setaria White Leaf Sheath Gene Siwls1, Hui Zhang, Sha Tang, James C. Schnable, Qiang He, Yuanzhu Gao, Mingzhao Luo, Guanqing Jia, Baili Feng, Hui Zhi, Xianmin Diao
Department of Agronomy and Horticulture: Faculty Publications
Genome-wide DNA polymorphism analysis and molecular marker development are important for forward genetics research and DNA marker-assisted breeding. As an ideal model system for Panicoideae grasses and an important minor crop in East Asia, foxtail millet (Setaria italica) has a high-quality reference genome as well as large mutant libraries based on the “Yugu1” variety. However, there is still a lack of genetic and mutation mapping tools available for forward genetics research on S. italica. Here, we screened another S. italica genotype, “SSR41”, which is morphologically similar to, and readily cross-pollinates with, “Yugu1”. High-throughput resequencing of “SSR41” …
A Chickpea Genetic Variation Map Based On The Sequencing Of 3,366 Genomes, Rajeev K. Varshney, Manish Roorkiwal, Shuai Sun, Prasad Bajaj, Annapurna Chitikineni, Mahendar Thudi, Narendra P. Singh, Xiao Du, Hari D. Upadhyaya, Diego Jarquin
A Chickpea Genetic Variation Map Based On The Sequencing Of 3,366 Genomes, Rajeev K. Varshney, Manish Roorkiwal, Shuai Sun, Prasad Bajaj, Annapurna Chitikineni, Mahendar Thudi, Narendra P. Singh, Xiao Du, Hari D. Upadhyaya, Diego Jarquin
Department of Agronomy and Horticulture: Faculty Publications
Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources1 . So far, few chickpea (Cicerarietinum) germplasm accessions have been characterized at the genome sequence level2 . Here we present a detailed map of variation in 3,171 cultivated and 195 wild accessions to provide publicly available resources for chickpea genomics research and breeding. We constructed a chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions. A divergence tree using genes present in around 80% of individuals in one species allowed us to estimate the divergence of …
University Research On Winter Growing Of Container-Grown Strawberries Translates To Grower's Farm Trial, Stacy A. Adams, Ellen T. Paparozzi, Ryan Pekarek, Dave P. Lambe, George Meyer, M. Elizabeth Conley, Paul Read
University Research On Winter Growing Of Container-Grown Strawberries Translates To Grower's Farm Trial, Stacy A. Adams, Ellen T. Paparozzi, Ryan Pekarek, Dave P. Lambe, George Meyer, M. Elizabeth Conley, Paul Read
Department of Agronomy and Horticulture: Faculty Publications
Strawberries are only seasonally available in Nebraska (NE). If an affordable heated structure can be designed, then opportunity exists to increase on-farm income by producing strawberries off-season during high-value market periods. A series of university greenhouse trials were conducted from 2010 to 2012. The varieties Evie-2 and Seascape were identified as being most productive under a low technology growing scheme. A new research project, which ran from fall to late spring (2013–2014), was designed to determine if this production scheme would translate to a commercial grower. Varieties Seascape and Evie-2 (each at two grades indicated by +) and San Andreas …
Control Of Acetolactate Synthase Inhibitor/Glyphosate-Resistant Palmer Amaranth (Amaranthus Palmeri) In Isoxaflutole/Glufosinate/Glyphosate-Resistant Soybean, Jasmine Mausbach, Suat Irmak, Debalin Sarangi, John L. Lindquist, Amit J. Jhala
Control Of Acetolactate Synthase Inhibitor/Glyphosate-Resistant Palmer Amaranth (Amaranthus Palmeri) In Isoxaflutole/Glufosinate/Glyphosate-Resistant Soybean, Jasmine Mausbach, Suat Irmak, Debalin Sarangi, John L. Lindquist, Amit J. Jhala
Department of Agronomy and Horticulture: Faculty Publications
Palmer amaranth is the most problematic and troublesome weed in agronomic cropping systems in the United States. Acetolactate synthase (ALS) inhibitor and glyphosate-resistant (GR) Palmer amaranth has been confirmed in Nebraska and it is widespread in several counties. Soybean resistant to isoxaflutole/glufosinate/glyphosate has been developed that provides additional herbicide site of action for control of herbicide-resistant weeds. The objectives of this study were to evaluate herbicide programs for control of ALS inhibitor/GR Palmer amaranth and their effect on Palmer amaranth density and biomass, as well as soybean injury and yield in isoxaflutole/glufosinate/glyphosate-resistant soybean. Field experiments were conducted in a grower's …
Identification And Validation Of High Ld Hotspot Genomic Regions Harboring Stem Rust Resistant Genes On 1b, 2a (Sr38), And 7b Chromosomes In Wheat, Shamseldeen Eltaher, Amira M.I. Mourad, P Stephen Baenziger, Stephen Wegulo, Vikas Belamkar, Ahmed Sallam
Identification And Validation Of High Ld Hotspot Genomic Regions Harboring Stem Rust Resistant Genes On 1b, 2a (Sr38), And 7b Chromosomes In Wheat, Shamseldeen Eltaher, Amira M.I. Mourad, P Stephen Baenziger, Stephen Wegulo, Vikas Belamkar, Ahmed Sallam
Department of Agronomy and Horticulture: Faculty Publications
Stem rust caused by Puccinia graminis f. sp. tritici Eriks. is an important disease of common wheat globally. The production and cultivation of genetically resistant cultivars are one of the most successful and environmentally friendly ways to protect wheat against fungal pathogens. Seedling screening and genome-wide association study (GWAS) were used to determine the genetic diversity of wheat genotypes obtained on stem rust resistance loci. At the seedling stage, the reaction of the common stem rust race QFCSC in Nebraska was measured in a set of 212 genotypes from F3:6 lines. The results indicated that 184 genotypes (86.8%) had different …
Spatial Frameworks For Robust Estimation Of Yield Gaps, Juan I. Rattalino Edreira, José F. Andrade, Kenneth G. Cassman, Martin K. Ittersum, Marloes P. Van Loon, Patricio Grassini
Spatial Frameworks For Robust Estimation Of Yield Gaps, Juan I. Rattalino Edreira, José F. Andrade, Kenneth G. Cassman, Martin K. Ittersum, Marloes P. Van Loon, Patricio Grassini
Department of Agronomy and Horticulture: Faculty Publications
Food security interventions and policies need reliable estimates of crop production and the scope to enhance production on existing cropland. Here we assess the performance of two widely used ‘top-down’ gridded frameworks (Global Agro-ecological Zones and Agricultural Model Intercomparison and Improvement Project) versus an alternative ‘bottom-up’ approach (Global Yield Gap Atlas). The Global Yield Gap Atlas estimates extra production potential locally for a number of sites representing major breadbaskets and then upscales the results to larger spatial scales. We find that estimates from top-down frameworks are alarmingly unlikely, with estimated potential production being lower than current farm production at some …
Development Of A Genomic Prediction Pipeline For Maintaining Comparable Sample Sizes In Training And Testing Sets Across Prediction Schemes Accounting For The Genotype-By-Environment Interaction, Reyna Persa, Martin Grondona, Diego Jarquin
Development Of A Genomic Prediction Pipeline For Maintaining Comparable Sample Sizes In Training And Testing Sets Across Prediction Schemes Accounting For The Genotype-By-Environment Interaction, Reyna Persa, Martin Grondona, Diego Jarquin
Department of Agronomy and Horticulture: Faculty Publications
The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular marker information such as marker assisted selection (MAS) and genomic selection (GS) have been widely adopted to assist the development of improved genotypes. In general, the implementation of GS is not straightforward, and it usually requires cross-validation studies to find the optimum set of factors (training set sizes, number of markers, quality control, etc.) to use in real breeding applications. In most cases, these different scenarios …
A Machine Learning Interpretation Of The Contribution Of Foliar Fungicides To Soybean Yield In The North‐Central United States, Denis A. Shah, Thomas R. Butts, Spyridon Mourtzinis, Juan I. Rattalino Edreira, Patricio Grassini, Shawn P. Conley, Paul D. Esker
A Machine Learning Interpretation Of The Contribution Of Foliar Fungicides To Soybean Yield In The North‐Central United States, Denis A. Shah, Thomas R. Butts, Spyridon Mourtzinis, Juan I. Rattalino Edreira, Patricio Grassini, Shawn P. Conley, Paul D. Esker
Department of Agronomy and Horticulture: Faculty Publications
Foliar fungicide usage in soybeans in the north-central United States increased steadily over the past two decades. An agronomically-interpretable machine learning framework was used to understand the importance of foliar fungicides relative to other factors associated with realized soybean yields, as reported by growers surveyed from 2014 to 2016. A database of 2738 spatially referenced fields (of which 30% had been sprayed with foliar fungicides) was fit to a random forest model explaining soybean yield. Latitude (a proxy for unmeasured agronomic factors) and sowing date were the two most important factors associated with yield. Foliar fungicides ranked 7th out of …
Implications Of Cover Crop Planting And Termination Timing On Rainfed Maize Production In Semi-Arid Cropping Systems, Alexandre T. Rosa, Cody Creech, Roger W. Elmore, Daran Rudnick, John L. Lindquist, Miguel Fudolig, Liberty E. Butts, Rodrigo Werle
Implications Of Cover Crop Planting And Termination Timing On Rainfed Maize Production In Semi-Arid Cropping Systems, Alexandre T. Rosa, Cody Creech, Roger W. Elmore, Daran Rudnick, John L. Lindquist, Miguel Fudolig, Liberty E. Butts, Rodrigo Werle
Department of Agronomy and Horticulture: Faculty Publications
Despite the potential to increase soil organic matter, cycle soil nutrients, and suppress weeds, there is a concern that cover crops (CCs) soil water use negatively impacts subsequent crops in water-limited environments. Cover crop management practices such as planting and termination timing may mitigate the detrimental impacts of CCs in semi-arid cropping systems. To determine the effects of CCs under water-limited environments, we evaluated the total CC biomass produced in the fall and spring, soil water content during the subsequent maize growing season, weed density and biomass, crop residue, and soil nutrients at the maize V6 development stage, and maize …
Contributions Of Individual Cover Crop Species To Rainfed Maize Production In Semi-Arid Cropping Systems, Alexandre T. Rosa, Cody Creech, Roger W. Elmore, Daran Rudnick, John L. Lindquist, Liberty Butts, Italo K. Pinho De Faria, Rodrigo Werle
Contributions Of Individual Cover Crop Species To Rainfed Maize Production In Semi-Arid Cropping Systems, Alexandre T. Rosa, Cody Creech, Roger W. Elmore, Daran Rudnick, John L. Lindquist, Liberty Butts, Italo K. Pinho De Faria, Rodrigo Werle
Department of Agronomy and Horticulture: Faculty Publications
Cover crop (CC) species selection can contribute to reducing soil penetration resistance (brassica species), improved soil nitrogen (N) cycling (legume species), and suppression of weeds (grass species). However, one of the main concerns about including CCs in water-limited environments is soil water use and the consequences to subsequent crops. To determine the effects of individual CC species under water-limited environments, we evaluated fall and spring CC biomass produced, and soil water and N content, penetration resistance, weed density and biomass during the maize growing season, and maize grain yield. The experiment was conducted under a winter wheat-maize-fallow rotation at two …
Advancing Agricultural Research Using Machine Learning Algorithms, Spyridon Mourtzinis, Paul D. Esker, James E. Specht, Shawn P. Conley
Advancing Agricultural Research Using Machine Learning Algorithms, Spyridon Mourtzinis, Paul D. Esker, James E. Specht, Shawn P. Conley
Department of Agronomy and Horticulture: Faculty Publications
Rising global population and climate change realities dictate that agricultural productivity must be accelerated. Results from current traditional research approaches are difficult to extrapolate to all possible fields because they are dependent on specific soil types, weather conditions, and background management combinations that are not applicable nor translatable to all farms. A method that accurately evaluates the effectiveness of infinite cropping system interactions (involving multiple management practices) to increase maize and soybean yield across the US does not exist. Here, we utilize extensive databases and artificial intelligence algorithms and show that complex interactions, which cannot be evaluated in replicated trials, …
Final Selection Of Quality Protein Popcorn Hybrids, Leandra Parsons, Ying Ren, Abou Yobi, Ruthie Angelovici, Oscar Rodriguez, David R. Holding
Final Selection Of Quality Protein Popcorn Hybrids, Leandra Parsons, Ying Ren, Abou Yobi, Ruthie Angelovici, Oscar Rodriguez, David R. Holding
Department of Agronomy and Horticulture: Faculty Publications
Quality Protein Popcorn (QPP) BC2F5 inbred lines were produced through an interpopulation breeding system between Quality Protein Maize dent (QPM) and elite popcorn germplasm. In 2019, five QPP F1 hybrids were selected for further evaluation due to superior agronomics, endosperm protein quality, and popping quality traits. Though these BC2F5 QPP hybrids were phenotypically similar to their popcorn parents, the QPP cultivars conveyed slightly inferior popping characteristics when compared to the original popcorn germplasm. The objective of this study was twofold. First, BC2F5 inbred lines were crossed to their popcorn parents …
Predicting Non-Native Insect Impact: Focusing On The Trees To See The Forest, Ashley N. Schulz, Angela M. Mech, Matthew P. Ayres, Jamal J.K. Gandhi, Nathan P. Havill, Daniel A. Herms, Angela M. Hoover, Ruth A. Hufbauer, Andrew M. Liebhold, Travis D. Marsico, Kenneth F. Raffa, Patrick C. Tobin, Daniel R. Uden, Kathryn A. Thomas
Predicting Non-Native Insect Impact: Focusing On The Trees To See The Forest, Ashley N. Schulz, Angela M. Mech, Matthew P. Ayres, Jamal J.K. Gandhi, Nathan P. Havill, Daniel A. Herms, Angela M. Hoover, Ruth A. Hufbauer, Andrew M. Liebhold, Travis D. Marsico, Kenneth F. Raffa, Patrick C. Tobin, Daniel R. Uden, Kathryn A. Thomas
Department of Agronomy and Horticulture: Faculty Publications
Non-native organisms have invaded novel ecosystems for centuries, yet we have only a limited understanding of why their impacts vary widely from minor to severe. Predicting the impact of non-established or newly detected species could help focus biosecurity measures on species with the highest potential to cause widespread damage. However, predictive models require an understanding of potential drivers of impact and the appropriate level at which these drivers should be evaluated. Here, we used non-native, specialist herbivorous insects of forest ecosystems to test which factors drive impact and if there were differences based on whether they used woody angiosperms or …
Impact Of Cover Crop Monocultures And Mixtures On Organic Carbon Contents Of Soil Aggregates, Daphne Topps, Imam Ul Khabir, Hagir Abdelmagid, Todd Jackson, Javed Iqbal, Boakai K. Robertson, Zahida Hassan Pervaiz, Muhammad Saleem
Impact Of Cover Crop Monocultures And Mixtures On Organic Carbon Contents Of Soil Aggregates, Daphne Topps, Imam Ul Khabir, Hagir Abdelmagid, Todd Jackson, Javed Iqbal, Boakai K. Robertson, Zahida Hassan Pervaiz, Muhammad Saleem
Department of Agronomy and Horticulture: Faculty Publications
Cover crops are considered an integral component of agroecosystems because of their positive impacts on biotic and abiotic indicators of soil health. At present, we know little about the impact of cover crop types and diversity on the organic carbon (OC) contents of different soil aggregate-size classes. In this study, we investigated the effect of cover plant diversity on OC contents of different soil aggregates, such as macro- (<2000–500 µm), meso- (<500–250 µm), and micro-aggregates (<250 µm). Our experiment included a total of 12 experimental treatments in triplicate; six different monoculture treatments such as chickling vetch (Vicia villosa), crimson clover (Trifolium incarnatum), hairy vetch (Vicia villosa), field peas (Pisum sativum), oilseed radish (Raphanus sativus), and mighty mustard (Brassica juncea), and their three- and six-species mixture treatments, including one unplanted control treatment. We performed this experiment usingdeep pots that contained soil collected from a corn-soybean rotation field. At vegetative maturity of cover plants (about 70 days), we took soil samples, and the soil aggregate-size classes were separated by the dry sieving. We hypothesized that cover crop type and diversity will improve OC contents of different soil aggregate-size classes. We found that cover plant species richness weakly positively increased OC contents of soil macro-aggregates (p = 0.056), whereas other aggregate-size classes did not respond to cover crop diversity gradient. Similarly, the OC contents of macroaggregates varied significantly (p = 0.013) under cover crop treatments, though neither monoculture nor mixture treatments showed significantly higher OC contents than the control treatment in this short-term experiment. Interestingly, the inclusion of hairy vetch and oilseed radish increased and decreased the OC contents of macro- and micro-aggregates, respectively. Moreover, we found a positive correlation between shoot biomass and OC contents of macroaggregates. Overall, our results suggest that species-rich rather than -poor communities may improve OC contents of soil macroaggregates, which constitute a major portion of soil systems, and are also considered as important indicators of soil functions.
Tandem Duplicate Expression Patterns Are Conserved Between Maize Haplotypes Of The Α-Zein Gene Family, Preston Hurst, James C. Schnable, David R. Holding
Tandem Duplicate Expression Patterns Are Conserved Between Maize Haplotypes Of The Α-Zein Gene Family, Preston Hurst, James C. Schnable, David R. Holding
Department of Agronomy and Horticulture: Faculty Publications
Tandem duplication gives rise to copy number variation and subsequent functional novelty among genes as well as diversity between individuals in a species. Functional novelty can result from either divergence in coding sequence or divergence in patterns of gene transcriptional regulation. Here, we investigate conservation and divergence of both gene sequence and gene regulation between the copies of the α-zein gene family in maize inbreds B73 and W22. We used RNA-seq data generated from developing, self-pollinated kernels at three developmental stages timed to coincide with early and peak zein expression. The reference genome annotations for B73 and W22 were modified …
Enhancing Our Understanding Of Plant Cell-To-Cell Interactions Using Single-Cell Omics, Sandra Thibivilliers, Marc Libault
Enhancing Our Understanding Of Plant Cell-To-Cell Interactions Using Single-Cell Omics, Sandra Thibivilliers, Marc Libault
Department of Agronomy and Horticulture: Faculty Publications
Plants are composed of cells that physically interact and constantly adapt to their environment. To reveal the contribution of each plant cells to the biology of the entire organism, their molecular, morphological, and physiological attributes must be quantified and analyzed in the context of the morphology of the plant organs. The emergence of single-cell/nucleus omics technologies now allows plant biologists to access different modalities of individual cells including their epigenome and transcriptome to reveal the unique molecular properties of each cell composing the plant and their dynamic regulation during cell differentiation and in response to their environment. In this manuscript, …
Effects Of Cultivars And Nitrogen Management On Wheat Grain Yield And Protein, Deepak Ghimire, Saurav Das, Nathan D. Mueller, Cody F. Creech, Dipak Santra, P Stephen Baenziger, Amanda C. Easterly, Brian Maust, Bijesh Maharjan
Effects Of Cultivars And Nitrogen Management On Wheat Grain Yield And Protein, Deepak Ghimire, Saurav Das, Nathan D. Mueller, Cody F. Creech, Dipak Santra, P Stephen Baenziger, Amanda C. Easterly, Brian Maust, Bijesh Maharjan
Department of Agronomy and Horticulture: Faculty Publications
Low grain protein in hard red winter (HRW) wheat (Triticum aestivum L.) is a serious challenge for rainfed wheat growers, particularly in years with elevated grain yield. Proper nitrogen (N) management with adequate N rate and application timing is critical for optimizing grain yield and protein content. This 2-yr experiment evaluated the effects of different N rates and application timings (fall, spring, and split) on grain yield and protein of two HRW wheat cultivars. Field studies were conducted at four different sites across Nebraska under rainfed conditions in 2018/2019 (Year 1) and 2019/2020 (Year 2). A split plot randomized complete …
An Assessment Of The Factors Influencing The Prediction Accuracy Of Genomic Prediction Models Across Multiple Environments, Sarah Widener, George Graef, Alexander E. Lipka, Diego Jarquin
An Assessment Of The Factors Influencing The Prediction Accuracy Of Genomic Prediction Models Across Multiple Environments, Sarah Widener, George Graef, Alexander E. Lipka, Diego Jarquin
Department of Agronomy and Horticulture: Faculty Publications
The effects of climate change create formidable challenges for breeders striving to produce sufficient food quantities in rapidly changing environments. It is therefore critical to investigate the ability of multi-environment genomic prediction (GP) models to predict genomic estimated breeding values (GEBVs) in extreme environments. Exploration of the impact of training set composition on the accuracy of such GEBVs is also essential. Accordingly, we examined the influence of the number of training environments and the use of environmental covariates (ECs) in GS models on four subsets of n = 500 lines of the soybean nested association mapping (SoyNAM) panel grown in …
Generalist Bird Exhibits Site-Dependent Resource Selection, Samantha M. Cady, Craig A. Davis, Samuel D. Fuhlendorf, Rheinhardt Scholtz, Daniel R. Uden, Dirac Twidwell
Generalist Bird Exhibits Site-Dependent Resource Selection, Samantha M. Cady, Craig A. Davis, Samuel D. Fuhlendorf, Rheinhardt Scholtz, Daniel R. Uden, Dirac Twidwell
Department of Agronomy and Horticulture: Faculty Publications
Quantifying resource selection (an organism's disproportionate use of available resources) is essential to infer habitat requirements of a species, develop management recommendations, predict species responses to changing conditions, and improve our understanding of the processes that underlie ecological patterns. Because study sites, even within the same region, can differ in both the amount and the arrangement of cover types, our objective was to determine whether proximal sites can yield markedly different resource selection results for a generalist bird, northern bobwhite (Colinus virginianus). We used 5 years of telemetry locations and newly developed land cover data at two, geographically distinct but …
Data From A Public–Industry Partnership For Enhancing Corn Nitrogen Research, C J. Ransom, J D. Clark, G M. Bean, C J. Bandura, M Shafer, N R. Kitchen, J J. Camberato, P R. Carter, R B. Ferguson, F G. Fernandez, D W. Franzen, C.A.M. Laboski, D B. Myers, E D. Nafziger, J E. Sawyer, J F. Shanahan
Data From A Public–Industry Partnership For Enhancing Corn Nitrogen Research, C J. Ransom, J D. Clark, G M. Bean, C J. Bandura, M Shafer, N R. Kitchen, J J. Camberato, P R. Carter, R B. Ferguson, F G. Fernandez, D W. Franzen, C.A.M. Laboski, D B. Myers, E D. Nafziger, J E. Sawyer, J F. Shanahan
Department of Agronomy and Horticulture: Faculty Publications
Improving corn (Zea mays L.) N management is pertinent to economic and environmental objectives. However, there are limited comprehensive data sources to develop and test N fertilizer decision aid tools across a wide geographic range of soil and weather scenarios. Therefore, a public-industry partnership was formed to conduct standardized corn N rate response field studies throughout the U.S. Midwest. This research was conducted using a standardized protocol at 49 site-years across eight states over the 2014 to 2016 growing seasons with many soil, plant, and weather related measurements. This note provides the data (found in supplemental files), outlines the data, …