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Increased Bundle-Sheath Leakiness Of Co2 During Photosynthetic Induction Shows A Lack Of Coordination Between The C4 And C3 Cycles, Yu Wang, Samantha S. Stutz, Carl J. Bernacchi, Ryan A. Boyd, Donald R. Ort, Stephen P. Long Dec 2022

Increased Bundle-Sheath Leakiness Of Co2 During Photosynthetic Induction Shows A Lack Of Coordination Between The C4 And C3 Cycles, Yu Wang, Samantha S. Stutz, Carl J. Bernacchi, Ryan A. Boyd, Donald R. Ort, Stephen P. Long

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Use of a complete dynamic model of NADP-malic enzyme C4 photosynthesis indicated that, during transitions from dark or shade to high light, induction of the C4 pathway was more rapid than that of C3, resulting in a predicted transient increase in bundle-sheath CO2 leakiness (ϕ). Previously, ϕ has been measured at steady state; here we developed a new method, coupling a tunable diode laser absorption spectroscope with a gas-exchange system to track ϕ in sorghum and maize through the nonsteady-state condition of photosynthetic induction. In both species, ϕ showed a transient increase to > 0.35 before declining to a steady state …


Removal Of Redox-Sensitive Rubisco Activase Does Not Alter Rubisco Regulation In Soybean, Christopher M. Harvey, Amanda P. Cavanagh, Sang Yeol Kim, David A. Wright, Ron G. Edquilang, Kayla S. Shreeves, Juan Alejandro Perdomo, Martin H. Spalding, Donald R. Ort, Carl J. Bernacchi, Steven C. Huber Nov 2022

Removal Of Redox-Sensitive Rubisco Activase Does Not Alter Rubisco Regulation In Soybean, Christopher M. Harvey, Amanda P. Cavanagh, Sang Yeol Kim, David A. Wright, Ron G. Edquilang, Kayla S. Shreeves, Juan Alejandro Perdomo, Martin H. Spalding, Donald R. Ort, Carl J. Bernacchi, Steven C. Huber

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Rubisco activase (Rca) facilitates the catalytic repair of Rubisco, the CO2-fixing enzyme of photosynthesis, following periods of darkness, low to high light transitions or stress. Removal of the redox-regulated isoform of Rubisco activase, Rca-α, enhances photosynthetic induction in Arabidopsis and has been suggested as a strategy for the improvement of crops, which may experience frequent light transitions in the field; however, this has never been tested in a crop species. Therefore, we used RNAi to reduce the Rca-α content of soybean (Glycine max cv. Williams 82) below detectable levels and then characterized the growth, photosynthesis, and Rubisco activity of the …


Difference In Seasonal Peak Timing Of Soybean Far-Red Sif And Gpp Explained By Canopy Structure And Chlorophyll Content, Genghong Wu, Chongya Jiang, Hyungsuk Kimm, Sheng Wang, Carl Bernacchi, Caitlin E. Moore, Andy Suyker, Xi Yang, Troy Magney, Christian Frankenberg, Youngryel Ryu, Benjamin Dechant, Kaiyu Guan Sep 2022

Difference In Seasonal Peak Timing Of Soybean Far-Red Sif And Gpp Explained By Canopy Structure And Chlorophyll Content, Genghong Wu, Chongya Jiang, Hyungsuk Kimm, Sheng Wang, Carl Bernacchi, Caitlin E. Moore, Andy Suyker, Xi Yang, Troy Magney, Christian Frankenberg, Youngryel Ryu, Benjamin Dechant, Kaiyu Guan

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Recent advances in remotely sensed solar-induced chlorophyll fluorescence (SIF) have provided an exciting and promising opportunity for estimating gross primary production (GPP). Previous studies mainly focused on the linear correlation between SIF and GPP and the slope of the SIF-GPP relationship, both of which lack rigorous consideration of the seasonal trajectories of SIF and GPP. Here, we investigated the timing of seasonal peaks of far-red SIF and GPP in soybean fields by integrating tower data, satellite data, and process-based Soil Canopy Observation of Photosynthesis and Energy (SCOPE, v2.0) model simulations. We found inconsistency between the seasonal peak timing of far-red …


Patch-Burn Grazing Impacts Forage Resources In Subtropical Humid Grazing Lands, Elizabeth H. Boughton, Nuria Gomez-Casanovas, Hilary Swain, Carl Bernacchi, Raoul K. Boughton, Keith Brinsko, Haoyu Li, Alan Rivero, Evan H. Delucia, Jed Sparks Sep 2022

Patch-Burn Grazing Impacts Forage Resources In Subtropical Humid Grazing Lands, Elizabeth H. Boughton, Nuria Gomez-Casanovas, Hilary Swain, Carl Bernacchi, Raoul K. Boughton, Keith Brinsko, Haoyu Li, Alan Rivero, Evan H. Delucia, Jed Sparks

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Subtropical humid grazing lands represent a large global land use and are important for livestock production, as well as supplying multiple ecosystem services. Patch-burn grazing (PBG) management is applied in temperate grazing lands to enhance environmental and economic sustainability; however, this management system has not been widely tested in subtropical humid grazing lands. The objective of this study was to determine how PBG affected forage resources, in comparison with the business-as-usual full-burn (FB) management in both intensively managed pastures (IMP) and seminative (SN) pastures in subtropical humid grazinglands. We hypothesized that PBG management would create patch contrasts in forage quantity …


Attributing Differences Of Solar-Induced Chlorophyll Fluorescence (Sif)-Gross Primary Production (Gpp) Relationships Between Two C4 Crops: Corn And Miscanthus, Genghong Wu, Kaiyu Guan, Chongya Jiang, Hyungsuk Kimm, Guofang Miao, Carl J. Bernacchi, Caitlin E. Moore, Elizabeth A. Ainsworth, Xi Yang, Joseph A. Berry, Christian Frankenberg, Min Chen Aug 2022

Attributing Differences Of Solar-Induced Chlorophyll Fluorescence (Sif)-Gross Primary Production (Gpp) Relationships Between Two C4 Crops: Corn And Miscanthus, Genghong Wu, Kaiyu Guan, Chongya Jiang, Hyungsuk Kimm, Guofang Miao, Carl J. Bernacchi, Caitlin E. Moore, Elizabeth A. Ainsworth, Xi Yang, Joseph A. Berry, Christian Frankenberg, Min Chen

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

There remains limited information to characterize the solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationship in C4 cropping systems. The annual C4 crop corn and perennial C4 crop miscanthus differ in phenology, canopy structure and leaf physiology. Investigating the SIF-GPP relationships in these species could deepen our understanding of SIF-GPP relationships within C4 crops. Using in situ canopy SIF and GPP measurements for both species along with leaf-level measurements, we found considerable differences in the SIF-GPP relationships between corn and miscanthus, with a stronger SIF-GPP relationship and higher slope of SIF-GPP observed in corn compared to miscanthus. These differences were …


High-Throughput Characterization, Correlation, And Mapping Of Leaf Photosynthetic And Functional Traits In The Soybean (Glycine Max) Nested Association Mapping Population, Christopher M. Montes, Carolyn Fox, Álvaro Sanz-Sáez, Shawn P. Serbin, Etsushi Kumagai, Matheus D. Krause, Alencar Xavier, James E. Specht, William D. Beavis, Carl J. Bernacchi, Brian W. Diers, Elizabeth A. Ainsworth May 2022

High-Throughput Characterization, Correlation, And Mapping Of Leaf Photosynthetic And Functional Traits In The Soybean (Glycine Max) Nested Association Mapping Population, Christopher M. Montes, Carolyn Fox, Álvaro Sanz-Sáez, Shawn P. Serbin, Etsushi Kumagai, Matheus D. Krause, Alencar Xavier, James E. Specht, William D. Beavis, Carl J. Bernacchi, Brian W. Diers, Elizabeth A. Ainsworth

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Photosynthesis is a key target to improve crop production in many species including soybean [Glycine max (L.) Merr.]. A challenge is that phenotyping photosynthetic traits by traditional approaches is slow and destructive. There is proof-of-concept for leaf hyperspectral reflectance as a rapid method to model photosynthetic traits. However, the crucial step of demonstrating that hyperspectral approaches can be used to advance understanding of the genetic architecture of photosynthetic traits is untested. To address this challenge, we used full-range (500-2,400 nm) leaf reflectance spectroscopy to build partial least squares regression models to estimate leaf traits, including the rate-limiting processes of photosynthesis, …


Advances In Field-Based High-Throughput Photosynthetic Phenotyping, Peng Fu, Christopher M. Montes, Matthew H. Siebers, Nuria Gomez-Casanovas, Justin M. Mcgrath, Elizabeth A. Ainsworth, Carl J. Bernacchi May 2022

Advances In Field-Based High-Throughput Photosynthetic Phenotyping, Peng Fu, Christopher M. Montes, Matthew H. Siebers, Nuria Gomez-Casanovas, Justin M. Mcgrath, Elizabeth A. Ainsworth, Carl J. Bernacchi

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Gas exchange techniques revolutionized plant research and advanced understanding, including associated fluxes and efficiencies, of photosynthesis, photorespiration, and respiration of plants from cellular to ecosystem scales. These techniques remain the gold standard for inferring photosynthetic rates and underlying physiology/biochemistry, although their utility for high-throughput phenotyping (HTP) of photosynthesis is limited both by the number of gas exchange systems available and the number of personnel available to operate the equipment. Remote sensing techniques have long been used to assess ecosystem productivity at coarse spatial and temporal resolutions, and advances in sensor technology coupled with advanced statistical techniques are expanding remote sensing …


Development Of A Data-Assimilation System To Forecast Agricultural Systems: A Case Study Of Constraining Soil Water And Soil Nitrogen Dynamics In The Apsim Model, Marissa S. Kivi, Bethany Blakely, Michael Masters, Carl J. Bernacchi, Fernando E. Miguez, Hamze Dokoohaki May 2022

Development Of A Data-Assimilation System To Forecast Agricultural Systems: A Case Study Of Constraining Soil Water And Soil Nitrogen Dynamics In The Apsim Model, Marissa S. Kivi, Bethany Blakely, Michael Masters, Carl J. Bernacchi, Fernando E. Miguez, Hamze Dokoohaki

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

As we face today's large-scale agricultural issues, the need for robust methods of agricultural forecasting has never been clearer. Yet, the accuracy and precision of our forecasts remains limited by current tools and methods. To overcome the limitations of process-based models and observed data, we iteratively designed and tested a generalizable and robust data-assimilation system that systematically constrains state variables in the APSIM model to improve forecast accuracy and precision. Our final novel system utilizes the Ensemble Kalman Filter to constrain model states and update model parameters at observed time steps and incorporates an algorithm that improves system performance through …


Linking Soil Microbial Community Structure To Potential Carbon Mineralization: A Continental Scale Assessment Of Reduced Tillage, Elizabeth L. Rieke, Shannon B. Cappellazzi, Michael Cope, Daniel Liptzin, G. Mac Bean, Kelsey L.H. Greub, Charlotte E. Norris, Paul W. Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy I. Bary, R. L. Baumhardt, Alberto Borbón Gracia, Daniel C. Brainard, Jameson R. Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron N. Carlyle, James J.W. Crawford, Cody F. Creech, Steve W. Culman, Bill Deen, Curtis J. Dell, Justin D. Derner, Thomas F. Ducey, Sjoerd W. Duiker, Miles F. Dyck, Benjamin H. Ellert, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann Marie Fortuna, Jamie L. Foster, Lisa M. Fultz, Audrey V. Gamble, Charles M. Geddes, Deirdre Griffin-Lahue, John H. Grove, Stephen K. Hamilton May 2022

Linking Soil Microbial Community Structure To Potential Carbon Mineralization: A Continental Scale Assessment Of Reduced Tillage, Elizabeth L. Rieke, Shannon B. Cappellazzi, Michael Cope, Daniel Liptzin, G. Mac Bean, Kelsey L.H. Greub, Charlotte E. Norris, Paul W. Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy I. Bary, R. L. Baumhardt, Alberto Borbón Gracia, Daniel C. Brainard, Jameson R. Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron N. Carlyle, James J.W. Crawford, Cody F. Creech, Steve W. Culman, Bill Deen, Curtis J. Dell, Justin D. Derner, Thomas F. Ducey, Sjoerd W. Duiker, Miles F. Dyck, Benjamin H. Ellert, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann Marie Fortuna, Jamie L. Foster, Lisa M. Fultz, Audrey V. Gamble, Charles M. Geddes, Deirdre Griffin-Lahue, John H. Grove, Stephen K. Hamilton

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Potential carbon mineralization (Cmin) is a commonly used indicator of soil health, with greater Cmin values interpreted as healthier soil. While Cmin values are typically greater in agricultural soils managed with minimal physical disturbance, the mechanisms driving the increases remain poorly understood. This study assessed bacterial and archaeal community structure and potential microbial drivers of Cmin in soils maintained under various degrees of physical disturbance. Potential carbon mineralization, 16S rRNA sequences, and soil characterization data were collected as part of the North American Project to Evaluate Soil Health Measurements (NAPESHM). Results showed that type of cropping system, intensity of physical …


A Generalist–Specialist Trade-Off Between Switchgrass Cytotypes Impacts Climate Adaptation And Geographic Range, Joseph D. Napier, Paul P. Grabowski, John T. Lovell, Jason Bonnette, Sujan Mamidi, Maria Jose Gomez-Hughes, Acer Vanwallendael, Xiaoyu Weng, Lori H. Handley, Min K. Kim, Arvid R. Boe, Philip A. Fay, Felix B. Fritschi, Julie D. Jastrow, John Lloyd-Reilley, David B. Lowry, Roser Matamala, Robert B. Mitchell, Francis M. Rouquette, Yanqi Wu, Jenell Webber, Teresa Jones, Kerrie Barry, Jane Grimwood, Jeremy Schmutz, Thomas E. Juenger Apr 2022

A Generalist–Specialist Trade-Off Between Switchgrass Cytotypes Impacts Climate Adaptation And Geographic Range, Joseph D. Napier, Paul P. Grabowski, John T. Lovell, Jason Bonnette, Sujan Mamidi, Maria Jose Gomez-Hughes, Acer Vanwallendael, Xiaoyu Weng, Lori H. Handley, Min K. Kim, Arvid R. Boe, Philip A. Fay, Felix B. Fritschi, Julie D. Jastrow, John Lloyd-Reilley, David B. Lowry, Roser Matamala, Robert B. Mitchell, Francis M. Rouquette, Yanqi Wu, Jenell Webber, Teresa Jones, Kerrie Barry, Jane Grimwood, Jeremy Schmutz, Thomas E. Juenger

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Polyploidy results from whole-genome duplication and is a unique form of heritable variation with pronounced evolutionary implications. Different ploidy levels, or cytotypes, can exist within a single species, and such systems provide an opportunity to assess how ploidy variation alters phenotypic novelty, adaptability, and fitness, which can, in turn, drive the development of unique ecological niches that promote the coexistence of multiple cytotypes. Switchgrass, Panicum virgatum, is a widespread, perennial C4 grass in North America with multiple naturally occurring cytotypes, primarily tetraploids (4×) and octoploids (8×). Using a combination of genomic, quantitative genetic, landscape, and niche modeling approaches, we detect …


Alternative Pathway To Photorespiration Protects Growth And Productivity At Elevated Temperatures In A Model Crop, Amanda P. Cavanagh, Paul F. South, Carl J. Bernacchi, Donald R. Ort Apr 2022

Alternative Pathway To Photorespiration Protects Growth And Productivity At Elevated Temperatures In A Model Crop, Amanda P. Cavanagh, Paul F. South, Carl J. Bernacchi, Donald R. Ort

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Adapting crops to warmer growing season temperatures is a major challenge in mitigating the impacts of climate change on crop production. Warming temperatures drive greater evaporative demand and can directly interfere with both reproductive and vegetative physiological processes. Most of the world’s crop species have C3 photosynthetic metabolism for which increasing temperature means higher rates of photorespiration, wherein the enzyme responsible for fixing CO2 fixes O2 instead followed by an energetically costly recycling pathway that spans several cell compartments. In C3 crops like wheat, rice and soybean, photorespiration translates into large yield losses that are predicted to increase as global …


Transformation Of Major Peanut (Arachis Hypogaea) Stilbenoid Phytoalexins Caused By Selected Microorganisms, Victor S. Sobolev, Travis E. Walk, Renee S. Arias, Alicia N. Massa, Valerie A. Orner, Marshall C. Lamb Feb 2022

Transformation Of Major Peanut (Arachis Hypogaea) Stilbenoid Phytoalexins Caused By Selected Microorganisms, Victor S. Sobolev, Travis E. Walk, Renee S. Arias, Alicia N. Massa, Valerie A. Orner, Marshall C. Lamb

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The peanut plant accumulates defensive stilbenoid phytoalexins in response to the presence of soil fungi, which in turn produce phytoalexin-detoxifying enzymes for successfully invading the plant host. Aspergillus spp. are opportunistic pathogens that invade peanut seeds; most common fungal species often produce highly carcinogenic aflatoxins. The purpose of the present research was to evaluate the in vitro dynamics of peanut phytoalexin transformation/detoxification by important fungal species. This work revealed that in feeding experiments, Aspergillus spp. from section Flavi were capable of degrading the major peanut phytoalexin, arachidin-3, into its hydroxylated homolog, arachidin-1, and a benzenoid, SB-1. However, Aspergillus niger from …


Drought Imprints On Crops Can Reduce Yield Loss: Nature's Insights For Food Security, Peng Fu, Deepak Jaiswal, Justin M. Mcgrath, Shaowen Wang, Stephen P. Long, Carl J. Bernacchi Feb 2022

Drought Imprints On Crops Can Reduce Yield Loss: Nature's Insights For Food Security, Peng Fu, Deepak Jaiswal, Justin M. Mcgrath, Shaowen Wang, Stephen P. Long, Carl J. Bernacchi

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The Midwestern “Corn-Belt” in the United States is the most productive agricultural region on the planet despite being predominantly rainfed. In this region, global climate change is driving precipitation patterns toward wetter springs and drier mid- to late-summers, a trend that is likely to intensify in the future. The lack of precipitation can lead to crop water limitations that ultimately impact growth and yields. Young plants exposed to water stress will often invest more resources into their root systems, possibly priming the crop for any subsequent mid- or late-season drought. The trend toward wetter springs, however, suggests that opportunities for …


Impact Of Harvest On Switchgrass Leaf Microbial Communities, Esther Singer, Elizabeth M. Carpenter, Jason Bonnette, Tanja Woyke, Thomas E. Juenger Jan 2022

Impact Of Harvest On Switchgrass Leaf Microbial Communities, Esther Singer, Elizabeth M. Carpenter, Jason Bonnette, Tanja Woyke, Thomas E. Juenger

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Switchgrass is a promising feedstock for biofuel production, with potential for leveraging its native microbial community to increase productivity and resilience to environmental stress. Here, we characterized the bacterial, archaeal and fungal diversity of the leaf microbial community associated with four switchgrass (Panicum virgatum) genotypes, subjected to two harvest treatments (annual harvest and unharvested control), and two fertilization levels (fertilized and unfertilized control), based on 16S rRNA gene and internal transcribed spacer (ITS) region amplicon sequencing. Leaf surface and leaf endosphere bacterial communities were significantly different with Alphaproteobacteria enriched in the leaf surface and Gammaproteobacteria and Bacilli enriched in the …


Patterning Ecological Restoration After Weeds, Stephen L. Young, Erik P. Hamerlynck Jan 2022

Patterning Ecological Restoration After Weeds, Stephen L. Young, Erik P. Hamerlynck

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The United Nations Decade on Ecosystem Restoration aims to prevent, halt, and reverse the degradation of ecosystems on every continent. Disturbances stemming from anthropogenic or natural causes make plant community restoration challenging. The introduction of fast-growing weeds that generate high biomass and produce copious seed is most threatening to plant communities. A paradigm shift in ecosystem restoration is needed that emphasizes traits and affected ecological processes similar to weeds. The repeated introduction of seed from native plants with weedy characteristics follows the propagule pressure and evolution of invasiveness hypotheses. In targeting areas with heavy weed populations, native plants could establish …


Essential Outcomes For Cop26, Pete Smith, Linda Beaumont, Carl J. Bernacchi, Maria Byrne, William Cheung, Richard T. Conant, Francesca Cotrufo, Xiaojuan Feng, Ivan Janssens, Hefin Jones, Miko U.F. Kirschbaum, Kazuhiko Kobayashi, Julie Laroche, Yiqi Luo, Andrew Mckechnie, Josep Penuelas, Shilong Piao, Sharon Robinson, Rowan F. Sage, David J. Sugget, Stephen J. Thackeray, Danielle Way, Stephen P. Long Jan 2022

Essential Outcomes For Cop26, Pete Smith, Linda Beaumont, Carl J. Bernacchi, Maria Byrne, William Cheung, Richard T. Conant, Francesca Cotrufo, Xiaojuan Feng, Ivan Janssens, Hefin Jones, Miko U.F. Kirschbaum, Kazuhiko Kobayashi, Julie Laroche, Yiqi Luo, Andrew Mckechnie, Josep Penuelas, Shilong Piao, Sharon Robinson, Rowan F. Sage, David J. Sugget, Stephen J. Thackeray, Danielle Way, Stephen P. Long

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

The UK Government is hosting COP26 in Glasgow between 31st October and 12th November 2021. It plans to make progress in four key areas which summarize as ‘coal, cars, cash and trees’ (Carbon Brief, 2021). The first two of these aims—to get agreement for the rapid phase out of coal, the most polluting of fossil fuels, and to ensure a rapid transition away for cars fuelled by fossil fuels—are very important, but are not directly related to the remit of Global Change Biology. The latter two aims—ensuring that the financial support of $100 billion per year promised in 2010 by …


Predicting Biochemical Acclimation Of Leaf Photosynthesis In Soybean Under In-Field Canopy Warming Using Hyperspectral Reflectance, Etsushi Kumagai, Charles H. Burroughs, Taylor L. Pederson, Christopher M. Montes, Bin Peng, Hyungsuk Kimm, Kaiyu Guan, Elizabeth A. Ainsworth, Carl J. Bernacchi Jan 2022

Predicting Biochemical Acclimation Of Leaf Photosynthesis In Soybean Under In-Field Canopy Warming Using Hyperspectral Reflectance, Etsushi Kumagai, Charles H. Burroughs, Taylor L. Pederson, Christopher M. Montes, Bin Peng, Hyungsuk Kimm, Kaiyu Guan, Elizabeth A. Ainsworth, Carl J. Bernacchi

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Traditional gas exchange measurements are cumbersome, which makes it difficult to capture variation in biochemical parameters, namely the maximum rate of carboxylation measured at a reference temperature (Vcmax25) and the maximum electron transport at a reference temperature (Jmax25), in response to growth temperature over time from days to weeks. Hyperspectral reflectance provides reliable measures of Vcmax25 and Jmax25; however, the capability of this method to capture biochemical acclimations of the two parameters to high growth temperature over time has not been demonstrated. In this study, Vcmax25 and Jmax25 were measured over multiple growth stages during two growing seasons for field-grown …


Carbon-Sensitive Pedotransfer Functions For Plant Available Water, Dianna K. Bagnall, Cristine L.S. Morgan, Michael Cope, Gregory M. Bean, Shannon Cappellazzi, Kelsey Greub, Daniel Liptzin, Charlotte L. Norris, Elizabeth Rieke, Paul Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy Bary, R. Louis Baumhardt, Alberto Borbón Gracia, Daniel Brainard, Jameson Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron Carlyle, James Crawford, Cody Creech, Steven Culman, William Deen, Curtis Dell, Justin Derner, Thomas Ducey, Sjoerd Willem Duiker, Miles Dyck, Benjamin Ellert, Martin Entz, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann Marie Fortuna, Jamie Foster, Lisa Fultz, Audrey V. Gamble, Charles Geddes Jan 2022

Carbon-Sensitive Pedotransfer Functions For Plant Available Water, Dianna K. Bagnall, Cristine L.S. Morgan, Michael Cope, Gregory M. Bean, Shannon Cappellazzi, Kelsey Greub, Daniel Liptzin, Charlotte L. Norris, Elizabeth Rieke, Paul Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy Bary, R. Louis Baumhardt, Alberto Borbón Gracia, Daniel Brainard, Jameson Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron Carlyle, James Crawford, Cody Creech, Steven Culman, William Deen, Curtis Dell, Justin Derner, Thomas Ducey, Sjoerd Willem Duiker, Miles Dyck, Benjamin Ellert, Martin Entz, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann Marie Fortuna, Jamie Foster, Lisa Fultz, Audrey V. Gamble, Charles Geddes

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Currently accepted pedotransfer functions show negligible effect of management-induced changes to soil organic carbon (SOC) on plant available water holding capacity (θAWHC), while some studies show the ability to substantially increase θAWHC through management. The Soil Health Institute's North America Project to Evaluate Soil Health Measurements measured water content at field capacity using intact soil cores across 124 long-term research sites that contained increases in SOC as a result of management treatments such as reduced tillage and cover cropping. Pedotransfer functions were created for volumetric water content at field capacity (θFC) and permanent wilting point (θPWP). New pedotransfer functions had …


Corn Nitrogen Nutrition Index Prediction Improved By Integrating Genetic, Environmental, And Management Factors With Active Canopy Sensing Using Machine Learning, Dan Li, Yuxin Miao, Curtis J. Ransom, Gregory Mac Bean, Newell R. Kitchen, Fabián G. Fernández, John E. Sawyer, James J. Camberato, Paul R. Carter, Richard B. Ferguson, David W. Franzen, Carrie A.M. Laboski, Emerson D. Nafziger, John F. Shanahan Jan 2022

Corn Nitrogen Nutrition Index Prediction Improved By Integrating Genetic, Environmental, And Management Factors With Active Canopy Sensing Using Machine Learning, Dan Li, Yuxin Miao, Curtis J. Ransom, Gregory Mac Bean, Newell R. Kitchen, Fabián G. Fernández, John E. Sawyer, James J. Camberato, Paul R. Carter, Richard B. Ferguson, David W. Franzen, Carrie A.M. Laboski, Emerson D. Nafziger, John F. Shanahan

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Accurate nitrogen (N) diagnosis early in the growing season across diverse soil, weather, and management conditions is challenging. Strategies using multi-source data are hypothesized to perform significantly better than approaches using crop sensing information alone. The objective of this study was to evaluate, across diverse environments, the potential for integrating genetic (e.g., comparative relative maturity and growing degree units to key developmental growth stages), environmental (e.g., soil and weather), and management (e.g., seeding rate, irrigation, previous crop, and preplant N rate) information with active canopy sensor data for improved corn N nutrition index (NNI) prediction using machine learning methods. Thirteen …


Invasion Of Plant Communities, Stephen L. Young, Sarah Kimball, Stephen J. Novak Jan 2022

Invasion Of Plant Communities, Stephen L. Young, Sarah Kimball, Stephen J. Novak

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Due to numerous human activities, organisms have been transported and either accidentally or deliberately introduced all around the globe. Biological invasions are now considered to be one of the main drivers of global change because many invasive plants have severe ecological, economic, and health consequences. Thus, there is an ever-growing need to better understand invasions to determine how specific plant species are able to establish in communities and, in many cases, expand their range. Here, we describe the invasion process and how it contributes to the invasion of plant communities. We present an invasion-factor framework (IFF) model that uses three …


Predicting Spatial-Temporal Patterns Of Diet Quality And Large Herbivore Performance Using Satellite Time Series, Sean P. Kearney, Lauren M. Porensky, David J. Augustine, Justin D. Derner, Feng Gao Jan 2022

Predicting Spatial-Temporal Patterns Of Diet Quality And Large Herbivore Performance Using Satellite Time Series, Sean P. Kearney, Lauren M. Porensky, David J. Augustine, Justin D. Derner, Feng Gao

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Adaptive management of large herbivores requires an understanding of how spatial-temporal fluctuations in forage biomass and quality influence animal performance. Advances in remote sensing have yielded information about the spatial-temporal dynamics of forage biomass, which in turn have informed rangeland management decisions such as stocking rate and paddock selection for free-ranging cattle. However, less is known about the spatial-temporal patterns of diet quality and their influence on large herbivore performance. This is due to infrequent concurrent ground observations of forage conditions with performance (e.g., mass gain), and previously limited satellite data at fine spatial and temporal scales. We combined multi-temporal …


Substantial Carbon Loss Respired From A Corn-Soybean Agroecosystem Highlights The Importance Of Careful Management As We Adapt To Changing Climate, Caitlin E. Moore, Christy D. Gibson, Guofang Miao, Evan C. Dracup, Nuria Gomez-Casanovas, Michael D. Masters, Jesse Miller, Adam C Von Haden, Tilden Meyers, Evan H. Delucia, Carl J. Bernacchi Jan 2022

Substantial Carbon Loss Respired From A Corn-Soybean Agroecosystem Highlights The Importance Of Careful Management As We Adapt To Changing Climate, Caitlin E. Moore, Christy D. Gibson, Guofang Miao, Evan C. Dracup, Nuria Gomez-Casanovas, Michael D. Masters, Jesse Miller, Adam C Von Haden, Tilden Meyers, Evan H. Delucia, Carl J. Bernacchi

United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications

Understanding agroecosystem carbon (C) cycle response to climate change and management is vital for maintaining their long-term C storage. We demonstrate this importance through an in-depth examination of a ten-year eddy covariance dataset from a corn-corn-soybean crop rotation grown in the Midwest United States. Ten-year average annual net ecosystem exchange (NEE) showed a net C sink of -0.39 Mg C ha-1 yr-1. However, NEE in 2014 and 2015 from the corn ecosystem was 3.58 and 2.56 Mg C ha-1 yr-1, respectively. Most C loss occurred during the growing season, when photosynthesis should dominate and C fluxes should reflect a net …