Other Plant Sciences Commons^™

Rooting For Food Security In Sub-Saharan Africa, Nicolas Guilpart, Patricio Grassini, Justin Van Wart, Haishun Yang, Martin K. Van Ittersum, Lenny G.J. Van Bussel, Joost Wolf, Lieven Claessens, Johan G.B. Leenaars, Kenneth G. Cassman

Department of Agronomy and Horticulture: Faculty Publications

There is a persistent narrative about the potential of Sub-Saharan Africa (SSA) to be a ‘grain breadbasket’ because of large gaps between current low yields and yield potential with good management, and vast land resources with adequate rainfall. However, rigorous evaluation of the extent to which soils can support high, stable yields has been limited by lack of data on rootable soil depth of sufficient quality and spatial resolution. Here we use location-specific climate data, a robust spatial upscaling approach, and crop simulation to assess sensitivity of rainfed maize yields to root-zone water holding capacity. We find that SSA could …

Can Yield Gap Analysis Be Used To Inform R & D Prioritisation?, P. A. J. Van Oort, K. Saito, I. Dieng, P. Grassini, K. G. Cassman, M. K. Van Ittersum

Department of Agronomy and Horticulture: Faculty Publications

The phrase “biggest bang for a buck” is associated with the policy making question that governments and development agencies face: “Where and which crops should receive highest priority for improving local and global food supply?”. A first step of prioritisation is to identify region x crop combinations for which high impact can be anticipated. We developed a new method for this prioritisation exercise and applied it to data from the Global Yield Gap and Water Productivity Atlas (GYGA). Our prioritisation distinguishes between two policy objectives (humanitarian and economic) and builds upon the relative yield gap and climate risk. Results of …

Supplemental Material For: Multi-Site Evaluation Of Apex For Water Quality: Ii. Regional Parameterization, Nathan O. Nelson, Claire Baffaut, John A. Lory, G.M.M.M. Anomaa Senaviratne, Ammar B. Bhandari, Ranjith P. Udawatta, Daniel W. Sweeney, Matt J. Helmers, Mike W. Van Liew, Antonio P. Mallarino, Charles S. Wortmann

Department of Agronomy and Horticulture: Faculty Publications

Model performance was assessed using Nash-Sutcliffe model efficiency (NSE), coefficient of determination (r²), and percent bias (PBIAS) as defined by Moriasi et al. (2007 and 2015). Threshold values indicating acceptable model performance based on these statistics are dependent on the spatial and temporal scales of the data, water quality constituents of interest, and the modeling objectives (Moriasi et al., 2015). Although some standard values have been suggested (Moriasi et al., 2007 and 2015), considerable variability exist in the published literature. For instance Ramanarayan et al. (1997) considered r² >0.5 and NSE >0.40 as satisfactory for simulation of …

Multisite Evaluation Of Apex For Water Quality: I. Best Professional Judgment Parameterization, Claire Baffaut, Nathan O. Nelson, John A. Lory, G.M.M.M. Anomaa Senaviratne, Ammar B. Bhandari, Ranjith P. Udawatta, Daniel W. Sweeney, Matt J. Helmers, M. W. Van Liew, Antonio P. Mallarino, Charles S. Wortmann

Department of Agronomy and Horticulture: Faculty Publications

The Agricultural Policy Environmental eXtender (APEX) model is capable of estimating edge-of-field water, nutrient, and sediment transport and is used to assess the environmental impacts of management practices. The current practice is to fully calibrate the model for each site simulation, a task that requires resources and data not always available. The objective of this study was to compare model performance for flow, sediment, and phosphorus transport under two parameterization schemes: a best professional judgment (BPJ) parameterization based on readily available data and a fully calibrated parameterization based on site-specific soil, weather, event flow, and water quality data. The analysis …

Genotype, Environment, Seeding Rate, And Top-Dressed Nitrogen Effects On End-Use Quality Of Modern Nebraska Winter Wheat, Madhav Bhatta, Teshome Regassa, Devin J. Rose, P. Stephen Baenziger, Kent M. Eskridge, Dipak K. Santra, Rachana Poudel

Department of Agronomy and Horticulture: Faculty Publications

Background: Fine-tuning production inputs such as seeding rate, nitrogen (N), and genotype may improve end-use quality of hard red winter wheat (Triticum aestivium L.) when growing conditions are unpredictable. Studies were conducted at the Agronomy Research Farm (ARF; Lincoln, NE, USA) and the High Plains Agricultural Laboratory (HPAL; Sidney, NE, USA) in 2014 and 2015 in Nebraska, USA, to determine the effects of genotype (6), environment (4), seeding rate (3), and flag leaf top-dressed N (0 and 34 kg N ha⁻¹) on the end-use quality of winter wheat.

Results: End-use quality traits were influenced by environment, genotype, …

Author Correction: Genome-Guided Phylo-Transcriptomic Methods And The Nuclear Phylogenetic Tree Of The Paniceae Grasses, Jacob D. Washburn, James C. Schnable, Gavin C. Conant, Thomas P. Brutnell, Ying Shao, Yang Zhang, Martha Ludwig, Gerrit Davidse, J. Chris Pires

Department of Agronomy and Horticulture: Faculty Publications

The original version of this Article contained an error in the title of the paper, where the word “Phylogenetic” was incorrectly given as “Phylogentic”. This has now been corrected in the PDF and HTML versions of the Article, and in the accompanying Supplementary Information file.

Lettuce Learn: Student Reflections On Building And Sustaining A Community Donation Garden, Hannah Dankbar, Emily K. Zimmerman, Carrie Chennault, Andrea D. Basche, Jacqueline Ann Nester, Maritza Pierre, Gabrielle Roesch-Mcnally

Department of Agronomy and Horticulture: Faculty Publications

This article emerged from conversations that we and fellow graduate students have had in building a community donation garden. We created the garden with a vision of enacting food justice in our community, but over the past four years we have experienced complexities with our vision. In this article, we share the complexities with which we have wrestled, how we have encouraged thoughtful dialogue among fellow scholars about these shortcomings and the intricate workings of the agrifood system, and the lessons we have learned through these experiences as early-career scholar-activists. This article represents our collective and individual voices as graduate …

The Impact Of Continuous Living Cover On Soil Hydrologic Properties: A Meta-Analysis, Andrea D. Basche, Marcia Delonge

Department of Agronomy and Horticulture: Faculty Publications

Increased rainfall variability due to climate change threatens the efficacy of critical soil ecosystem services. One strategy to negate effects of too much or not enough rainfall is to improve soil water properties. Practices that offer “continuous living cover” can enhance soil water storage and other soil hydrologic properties relative to annual crop systems, but to what extent such benefits can accrue, under different conditions, remains under-quantified. To address these uncertainties, we conducted a meta-analysis that included 27 studies representing 93 paired observations measuring two soil hydrologic properties: porosity and the water retained at field capacity. All experiments compared the …

Research Topics To Scale Up Cover Crop Use: Reflections From Innovative Iowa Farmers, Andrea D. Basche, Gabrielle E. Roesch-Mcnally

Department of Agronomy and Horticulture: Faculty Publications

Cover crops as a conservation practice continue to receive attention from farmers, researchers, media, and policy makers, given their ability to effectively reduce water pollution and improve soil quality. Recent estimates of cover crop use across the midwestern Corn Belt, as well as the United States, demonstrate large acreage increases over the last number of years. The annual Sustainable Agriculture Research and Education–Conservation Technology Information Center (SARE– CTIC) survey found that nationally cover crop acreage doubled from 2011 to 2016, based on farmers self-reporting cover crop planting (CTIC 2016). However, the total cover crop acreage based on 2012 Census of …

Genotyping-By-Sequencing Derived High-Density Linkage Map And Its Application To Qtl Mapping Of Flag Leaf Traits In Bread Wheat, Waseem Hussain, P. Stephen Baenziger, Vikas Belamkar, Mary J. Guttieri, Jorge P. Venegas, Amanda Easterly, Ahmed Sallam, Jesse Poland

Department of Agronomy and Horticulture: Faculty Publications

Winter wheat parents ‘Harry’ (drought tolerant) and ‘Wesley’ (drought susceptible) were used to develop a recombinant inbred population with future goals of identifying genomic regions associated with drought tolerance. To precisely map genomic regions, high-density linkage maps are a prerequisite. In this study genotyping-by-sequencing (GBS) was used to construct the high-density linkage map. The map contained 3,641 markers distributed on 21 chromosomes and spanned 1,959 cM with an average distance of 1.8 cM between markers. The constructed linkage map revealed strong collinearity in marker order across 21 chromosomes with POPSEQ-v2.0, which was based on a high-density linkage map. The reliability …

Shifts In Microbial Communities In Soil, Rhizosphere And Roots Of Two Major Crop Systems Under Elevated Co2 And O3, Peng Wang, Ellen L. Marsh, Elizabeth A. Ainsworth, Andrew D. B. Leakey, Amy M. Sheflin, Daniel P. Schachtman

Department of Agronomy and Horticulture: Faculty Publications

Rising atmospheric concentrations of CO₂ and O₃ are key features of global environmental change. To investigate changes in the belowground bacterial community composition in response to elevated CO₂ and O₃ (eCO₂ and eO₃) the endosphere, rhizosphere and soil were sampled from soybeans under eCO2 and maize under eO₃. The maize rhizosphere and endosphere α-diversity was higher than soybean, which may be due to a high relative abundance of Rhizobiales. Only the rhizosphere microbiome composition of the soybeans changed in response to eCO₂, associated with an increased abundance of nitrogen …

Genomic-Enabled Prediction Accuracies Increased By Modeling Genotype × Environment Interaction In Durum Wheat, Sivakumar Sukumaran, Diego Jarquin, José Crossa, Matthew Reynolds

Department of Agronomy and Horticulture: Faculty Publications

Genomic prediction studies incorporating genotype × environment (G×E) interaction effects are limited in durum wheat. We tested the genomic-enabled prediction accuracy (PA) of Genomic Best Linear Unbiased Predictor (GBLUP) models—six non-G × E and three G × E models—on three basic cross-validation (CV) schemes— in predicting incomplete field trials (CV2), new lines (CV1), and lines in untested environments (CV0)— in a durum wheat panel grown under yield potential, drought stress, and heat stress conditions. For CV0, three scenarios were considered: (i) leave-one environment out (CV0-Env); (ii) leave one site out (CV0- Site); and (iii) leave 1 yr out (CV0-Year). The …

Evaluation Of Jules-Crop Performance Against Site Observations Of Irrigated Maize From Mead, Nebraska, Karina Williams, Jemma Gornall, Anna Harper, Andy Wiltshire, Debbie Hemming, Tristan Quaife, Tim Arkebauer, David Scoby

Department of Agronomy and Horticulture: Faculty Publications

The JULES-crop model (Osborne et al., 2015) is a parametrisation of crops within the Joint UK Land Environment Simulator (JULES), which aims to simulate both the impact of weather and climate on crop productivity and the impact of croplands on weather and climate. In this evaluation paper, observations of maize at three FLUXNET sites in Nebraska (US-Ne1, US-Ne2 and US-Ne3) are used to test model assumptions and make appropriate input parameter choices. JULES runs are performed for the irrigated sites (US-Ne1 and US-Ne2) both with the crop model switched off (prescribing leaf area index (LAI) and canopy height) and with …

Science In The Supply Chain: Collaboration Opportunities For Advancing Sustainable Agriculture In The United States, Allison M. Thomson, Stewart Ramsey, Ed Barnes, Bruno Basso, Marlen Eve, Sasha Gennet, Patricio Grassini, Brandon Kliethermes, Marty Matlock, Eileen Mcclellen, Ed Spevak, Clifford S. Snyder, Mark D. Tomer, Chris Van Kessel, Tristram West, Grant Wick

Department of Agronomy and Horticulture: Faculty Publications

Consumers and corporations are increasingly interested in understanding the sustainability of agricultural supply chains and reducing the environmental impacts of food, fiber, feed, and fuel production. This emerging need to quantify environmental impacts from agricultural production creates an opportunity for collaboration with the scientific community. Without such collaboration, sustainability efforts risk failure by adopting unrealistic goals or misguided approaches. This commentary explores the role of science in Field to Market, a nonprofit organization developing a sustainability program for US commodity crops, and highlights opportunities to address emerging science challenges. We evaluate changes over the past 35 years in key environmental …

Genetic Characterization Of The Soybean Nested Association Mapping Population, Qijian Song, Long Yan, Charles Quigley, Brandon D. Jordan, Edward Fickus, Steve Schroeder, Bao-Hua Song, Yong-Qiang Charles An, David Hyten, Randall L. Nelson, Katy Rainey, William D. Beavis, Jim Specht, Brian Diers, Perry Cregan

Department of Agronomy and Horticulture: Faculty Publications

A set of nested association mapping (NAM) families was developed by crossing 40 diverse soybean [Glycine max (L.) Merr.] genotypes to the common cultivar. The 41 parents were deeply sequenced for SNP discovery. Based on the polymorphism of the single-nucleotide polymorphisms (SNPs) and other selection criteria, a set of SNPs was selected to be included in the SoyNAM6K BeadChip for genotyping the parents and 5600 RILs from the 40 families. Analysis of the SNP profiles of the RILs showed a low average recombination rate. We constructed genetic linkage maps for each family and a composite linkage map based on …

Editorial: Genomic Approaches For Improvement Of Understudied Grasses, Keenan Amundsen, Gautam Sarath, Teresa Donze-Reiner

Department of Agronomy and Horticulture: Faculty Publications

Grasses are diverse, spanning native prairies to high-yielding grain cropping systems. They are valued for their beauty and useful for soil stabilization, pollution mitigation, biofuel production, nutritional value, and forage quality; grasses encompass the most important grain crops in the world. There are thousands of distinct grass species and many have promiscuous hybridization patterns, blurring species boundaries. Resources for advancing the science and knowledgebase of individual grass species or their unique characteristics varies, often proportional to their perceived value to society. For many grasses, limited genetic information hinders research progress. Presented in this research topic is a brief snapshot of …

Expression Of The Maize Dof1 Transcription Factor In Wheat And Sorghum, Pamela A. Pena, Truyen Quach, Shirley Sato, Zhengxiang Ge, Natalya Nersesian, Taity Changa, Ismail M. Dweikat, Madhavan Soundararajan, Tom E. Clemente

Department of Agronomy and Horticulture: Faculty Publications

Nitrogen is essential for plant growth and development. Improving the ability of plants to acquire and assimilate nitrogen more efficiently is a key agronomic parameter that will augment sustainability in agriculture. A transcription factor approach was pursued to address improvement of nitrogen use efficiency in two major commodity crops. To this end, the Zea mays Dof1 (ZmDof1) transcription factor was expressed in both wheat (Triticum aestivum) and sorghum (Sorghum bicolor) either constitutively, UBI4 promoter from sugarcane, or in a tissue specific fashion via the maize rbcS1 promoter. The primary transcription activation target of ZmDof1 …

High-Throughput Profiling And Analysis Of Plant Responses Over Time To Abiotic Stress, Kira M. Veley, Jeffrey C. Berry, Sarah J. Fentress, Daniel P. Schachtman, Ivan Baxter, Rebecca Bart

Department of Agronomy and Horticulture: Faculty Publications

Sorghum (Sorghum bicolor (L.) Moench) is a rapidly growing, high-biomass crop prized for abiotic stress tolerance. However, measuring genotype-by-environment (G x E) interactions remains a progress bottleneck. We subjected a panel of 30 genetically diverse sorghum genotypes to a spectrum of nitrogen deprivation and measured responses using high-throughput phenotyping technology followed by ionomic profiling. Responses were quantified using shape (16 measurable outputs), color (hue and intensity), and ionome (18 elements). We measured the speed at which specific genotypes respond to environmental conditions, in terms of both biomass and color changes, and identified individual genotypes that perform most favorably. With this …

Influence Of Tillage On Common Ragweed (Ambrosia Artemisiifolia) Emergence Pattern In Nebraska, Ethann R. Barnes, Rodrigo Werle, Lowell Sandell, John L. Lindquist, Stevan Z. Knezevic, Peter H. Sikkema, Amit J. Jhala

Department of Agronomy and Horticulture: Faculty Publications

Spring tillage is a component of an integrated weed management strategy for control of early emerging glyphosate-resistant weeds such as common ragweed; however, the effect of tillage on common ragweed emergence pattern is unknown. The objectives of this study were to evaluate whether spring tillage during emergence would influence the emergence pattern or stimulate additional emergence of common ragweed and to characterize common ragweed emergence in southeast Nebraska. A field experiment was conducted for three years (2014 to 2016) in Gage County, Nebraska in a field naturally infested with glyphosate-resistant common ragweed. Treatments consisted of a no-tillage control and three …