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Articles 61 - 90 of 292

Full-Text Articles in Agronomy and Crop Sciences

Auxin-Based Herbicide Program For Weed Control In Auxin Resistant Soybean, Joy Amajioyi, Thandiwe Nleya, Graig Reicks, Janet Moriles- Miller, David Clay, Sharon Clay Oct 2022

Auxin-Based Herbicide Program For Weed Control In Auxin Resistant Soybean, Joy Amajioyi, Thandiwe Nleya, Graig Reicks, Janet Moriles- Miller, David Clay, Sharon Clay

Agronomy, Horticulture and Plant Science Faculty Publications

Soybean [Glycine max (L.) Merr.] cultivars resistant to synthetic auxin herbicides have provided another mode of action for the postemergence broadleaf weed control. This field study was conducted at three South Dakota locations [Northeast, NERF; east-central, ARF; and Southeast, SERF) in 2019 and two locations (ARF and SERF) in 2020. The Enlist E3 and Roundup Ready 2 Xtend cultivars were planted at three dates (early, mid-, and late season) to examine weed control, agronomic characteristics, nodulation, and yield. Preemergence (PRE) treatment was flumioxazin + metribuzin + S-metolachlor + glyphosate + pendimethalin. Two postemergence (POST) treatments, based on cultivar, were compared …


Quantification And Machine Learning Based N2o-N And Co2-C Emissions Predictions From A Decomposing Rye Cover Crop, Deepak R. Joshi, David E. Clay, Sharon A. Clay, Janet Moriles Miller, Aaron L.M. Daigh, Graig Reicks, Shania Westhoff Aug 2022

Quantification And Machine Learning Based N2o-N And Co2-C Emissions Predictions From A Decomposing Rye Cover Crop, Deepak R. Joshi, David E. Clay, Sharon A. Clay, Janet Moriles Miller, Aaron L.M. Daigh, Graig Reicks, Shania Westhoff

Agronomy, Horticulture and Plant Science Faculty Publications

Cover crops improve soil health and reduce the risk of soil erosion. However, their impact on the carbon dioxide equivalence (CO2e) is unknown. Therefore, objective of this two-year study was to quantify the effect of cover crop-induced differences in soil moisture, temperature, organic C, and microorganisms on CO2e and to develop machine learning algorithms that predict daily N2O-N and CO2-C emissions. The prediction models tested were multiple linear regression (MLR), partial least square regression (PLSR), support vector machine (SVM), random forest (RF), and artificial neural network (ANN). Models’ performance was accessed using R2 , RMSE and MAE. Rye (secale cereale) …


Reproduction Of Soybean Cyst Nematode Populations On Field Pennycress, Henbit, And Purple Deadnettle Weed Hosts, Pawan Basnet, Sharon A. Clay, Emmanuel Byamukama Aug 2022

Reproduction Of Soybean Cyst Nematode Populations On Field Pennycress, Henbit, And Purple Deadnettle Weed Hosts, Pawan Basnet, Sharon A. Clay, Emmanuel Byamukama

Agronomy, Horticulture and Plant Science Faculty Publications

Several weeds serve as alternative soybean cyst nematode (SCN) hosts. Still, the relative reproductive capacity of SCN HG types (Heterodera glycines type) on weed hosts relative to soybean is not well understood. This study examined the reproduction of three South Dakota endemic SCN populations—PSCN-1 (HG 0), PSCN-2 (HG 2.5.7), and PSCN-3 (HG 7)—on purple deadnettle, field pennycress, and henbit. The Relative Female Index (RFI) was calculated to compare SCN reproduction relative to the susceptible soybean check. Weed hosts, HG types, and their interactions influenced SCN reproduction. Henbit (RFI = 51.8) and purple deadnettle (RFI = 47.6) roots had a similar …


Soybean Management For Seed Composition: The Perspective Of U.S. Farmers, Andre F. Borja Reis, Luiz Rosso, Dan Davidson, Peter Kovacs, Larry C. Purcell, Frederick E. Below, Shaun Casteel, Hans J. Kandel, Seth Naeve, Sotirios V. Archontoulis, Ignacio A. Ciampitti Jul 2022

Soybean Management For Seed Composition: The Perspective Of U.S. Farmers, Andre F. Borja Reis, Luiz Rosso, Dan Davidson, Peter Kovacs, Larry C. Purcell, Frederick E. Below, Shaun Casteel, Hans J. Kandel, Seth Naeve, Sotirios V. Archontoulis, Ignacio A. Ciampitti

Agronomy, Horticulture and Plant Science Faculty Publications

The soybean [Glycine max (L.) Merr.] compositional quality is mainly provided by the seed concentration of protein and oil. These traits are critical for sustaining global use, and although there is demand for high protein soybean, no mechanism to differentiate production is in place. At the opposite end of the supply chain, farmers are remunerated on a mass basis without having any incentive regarding seed composition. This study evaluated farmers' perspectives and knowledge on soybean quality and their propensity to adopt quality improvement technologies. Farmers from the main U.S. producing regions (n = 271) were investigated with a …


Simulating The Impact Of Crop–Livestock Interaction On Crop Performance Using Dssat, Teerath Rai, Sandeep Kumar, Thandiwe Nleya, Gerrit Hoogenboom Jul 2022

Simulating The Impact Of Crop–Livestock Interaction On Crop Performance Using Dssat, Teerath Rai, Sandeep Kumar, Thandiwe Nleya, Gerrit Hoogenboom

Agronomy, Horticulture and Plant Science Faculty Publications

An integrated crop–livestock system (ICL) can help with enhancing soil quality and crop productivity, ultimately increasing farm income. Field experiments that evalu- ated the impact of cover crops (CCs) and grazing on crop productivity have shown mixed results primarily because of a relatively short duration of the crop–livestock system. Dynamic crop models can help to simulate the long-term impact of soils and crop management on crop yield. The objectives of the current study were to develop a simple simulation methodology for crop–livestock interaction using the Decision Support System for Agrotechnology Transfer (DSSAT) and to evaluate the perfor- mance of CC …


Climate Change And Management Impacts On Soybean N Fixation, Soil N Mineralization, N2o Emissions, And Seed Yield, Elvis F. Elli, Ignacio A. Ciampitti, Michael J. Castellano, Larry C. Purcell, Seth Naeve, Patricio Grassini, Nicolas C. La Menza, Luiz Moro Rosso, Andre F. De Borja Reis, Peter Kovacs, Sotirios V. Archontoulis Apr 2022

Climate Change And Management Impacts On Soybean N Fixation, Soil N Mineralization, N2o Emissions, And Seed Yield, Elvis F. Elli, Ignacio A. Ciampitti, Michael J. Castellano, Larry C. Purcell, Seth Naeve, Patricio Grassini, Nicolas C. La Menza, Luiz Moro Rosso, Andre F. De Borja Reis, Peter Kovacs, Sotirios V. Archontoulis

Agronomy, Horticulture and Plant Science Faculty Publications

Limited knowledge about how nitrogen (N) dynamics are affected by climate change, weather variability, and crop management is a major barrier to improving the productivity and environmental performance of soybean-based cropping systems. To fill this knowledge gap, we created a systems understanding of agroecosystem N dynamics and quantified the impact of controllable (management) and uncontrollable (weather, climate) factors on N fluxes and soybean yields. We performed a simulation experiment across 10 soybean production environments in the United States using the Agricultural Production Systems sIMulator (APSIM) model and future climate projections from five global circulation models. Climate change (2020–2080) increased N …


Response Of Soil Biochemical And Physical Properties To Long Term Prairie Cordgrass And Kura Clover Intercropping System, Vaishnavi Varikuti Jan 2022

Response Of Soil Biochemical And Physical Properties To Long Term Prairie Cordgrass And Kura Clover Intercropping System, Vaishnavi Varikuti

Electronic Theses and Dissertations

Prairie cordgrass (Spartina pectinata) (PCG) is a warm-season perennial grass that can be used as a biofuel feedstock and can be grown on marginal lands. Previous studies on intercropping of a perennial legume i.e., kura clover (Trifolium ambiguum) (KC) with PCG can improve soil biochemical properties, increase biomass production, mitigate greenhouse gas (GHG) emissions while reducing the chemical fertilizer requirement. However, there is a lack of evidence about the effects of PCG production on soil biochemical and physical properties during the cropping season and at deeper soil depths in reference to support plant growth, environmental implications and enhance the soil …


It's Not Just No-Till: Crop Rotations Are Key To Improving Soil Quality And Grain Yields At Dakota Lakes Research Farm, Natalie Sturm Jan 2022

It's Not Just No-Till: Crop Rotations Are Key To Improving Soil Quality And Grain Yields At Dakota Lakes Research Farm, Natalie Sturm

Electronic Theses and Dissertations

No-till is increasingly promoted as a vital agricultural practice to address the challenge of improving soil quality while maintaining the ability to produce food, feed, fuel, and fiber. However, questions remain regarding 1) how different crop rotations impact soil quality under no-till management specifically and 2) whether significant improvements in soil quality can be made without negatively impacted crop yields. In this study, we demonstrate that even under the same long-term no-till management, differences in grain yields and soil biological, chemical, and physical properties exist between crop rotations at Dakota Lakes Research Farm in central South Dakota. We propose that …


Combining Soil Health And Fertility Measurements To Improve The Accuracy Of Predicting Corn Grain Yield Responses To P And K Fertilization, Benjamin Groebner Jan 2022

Combining Soil Health And Fertility Measurements To Improve The Accuracy Of Predicting Corn Grain Yield Responses To P And K Fertilization, Benjamin Groebner

Electronic Theses and Dissertations

Researchers have pointed to changes in climate and land management practices to justify the need to reevaluate the accuracy of current South Dakota (SD) corn (Zea mays L.) P and K fertilizer recommendations. Also, an increase in soil health understanding has created the potential for soil health measurements to be used to improve the accuracy of these recommendations. The objectives for this study were to 1) evaluate the current P and K critical values and 2) determine the effect of including soil health indicators on improving fertilizer recommendation accuracy. This project was conducted throughout central and eastern SD from 2019-2021 …


Machine-Learning And Meta-Analysis Techniques To Quantify And Predict Soil Organic Carbon, N2O-N And Co2-C Emissions In Cover Crop Systems, Deepak Raj Joshi Jan 2022

Machine-Learning And Meta-Analysis Techniques To Quantify And Predict Soil Organic Carbon, N2O-N And Co2-C Emissions In Cover Crop Systems, Deepak Raj Joshi

Electronic Theses and Dissertations

People worldwide are challenged by multiple threats including climate change, growing populations, and soil degradation. Addressing these challenges requires understanding of the local environment, farming systems and modern technologies. These technologies include new ways to process information that include artificial intelligence, machine learning and meta-analysis. Models produced using these technologies may be useful for predicting the consequences of implementing conservation practices that reduce GHG emissions as well as for determining the carbon footprint of cropping systems that include environmentally friendly conservation technologies such as growing cover crop. Therefore, our objectives of this study were to: 1) provide an overview of …


Southeast South Dakota Experiment Farm Annual Progress Report, 2022, Southeast South Dakota Research Farm Jan 2022

Southeast South Dakota Experiment Farm Annual Progress Report, 2022, Southeast South Dakota Research Farm

Agricultural Experiment Station and Research Farm Annual Reports

This is an annual report of the research program at the Southeast South Dakota Research Farm in cooperation with South Dakota Agricultural Experiment Station and the SDSU College of Agriculture, Food, and Environmental Sciences and has special significance for those engaged in agriculture and the agriculturally related businesses in the ten county area of Southeast South Dakota. The results shown are not necessarily complete or conclusive. Interpretations given are tentative because additional data resulting from continuation of these experiments may result in conclusions different from those based on any one year.


Soil Hydro-Physical Properties, Computed Tomography Measured Pore Parameters, And Soil Health Indicators As Influenced By Tillage And Crop Rotation Systems, Goutham Thotakuri Jan 2022

Soil Hydro-Physical Properties, Computed Tomography Measured Pore Parameters, And Soil Health Indicators As Influenced By Tillage And Crop Rotation Systems, Goutham Thotakuri

Electronic Theses and Dissertations

Long-term tillage and crop rotation systems are important agricultural management practices as these can have direct impact on the soil’s key properties. The objectives of this study were to (ⅰ) quantify the soil pore characteristics under long-term tillage and crop rotation using X-ray computed tomography (XCT) and to assess the relationships between XCT-measured pore parameters and soil hydro-physical properties; and (ⅱ) evaluate the impacts of long-term tillage and crop rotation on select soil health indicators. The objective (ⅰ) was carried out at Haskell Agricultural Laboratory (HAL), Concord, NE; and objective (ⅰi) was carried out at South Central Agricultural Laboratory (SCAL), …


Evaluating Fungicide Timing, Efficacy, And Sensitivity As Well As Candidate Resistance Genes Against Fungi Causing Phomopsis Stem Canker In Sunflower, Ruchika Kashyap Jan 2022

Evaluating Fungicide Timing, Efficacy, And Sensitivity As Well As Candidate Resistance Genes Against Fungi Causing Phomopsis Stem Canker In Sunflower, Ruchika Kashyap

Electronic Theses and Dissertations

Phomopsis stem canker is one of the major diseases of sunflower (Helianthus annuus L.) caused by complex of Diaporthe spp., in the U.S. This disease became of economic importance after 2010 epidemic in Minnesota, North Dakota, and South Dakota and since then the prevalence of this diseases has increased due to increased average precipitation in these major sunflower growing regions of the U.S. The two important disease management strategies involve the use of fungicides and partially resistant hybrids. However, over the years, researchers and growers have seen varied results on Phomopsis stem canker disease severity reduction and yield gains, when …


Efficacy Of Nanomaterials And Biorationals On The Bacterial Leaf Streak Management In Wheat, Abraham Hangamaisho Jan 2022

Efficacy Of Nanomaterials And Biorationals On The Bacterial Leaf Streak Management In Wheat, Abraham Hangamaisho

Electronic Theses and Dissertations

Wheat (Triticum aestivum L.) is one of the most important cereal crops in the United States. Most wheat varieties are susceptible to bacterial leaf streak (BLS), a major disease caused by Xanthomonas translucens pv. undulosa (Xtpvu). BLS is challenging to manage since common chemicals do not provide adequate control. Nanomaterials and plant extracts have shown potential to provide a sustainable environmentally friendly control of animal and plant diseases. However, limited data are available on the efficacy of plant extracts and nanomaterials controlling BLS in wheat. The objective of this study was to evaluate the antibacterial activity of plant extracts and …


Genome-Wide Association Mapping And Genomic Prediction For Enhancing Fhb Resistance In Hard Winter Wheat, Jinfeng Zhang Jan 2022

Genome-Wide Association Mapping And Genomic Prediction For Enhancing Fhb Resistance In Hard Winter Wheat, Jinfeng Zhang

Electronic Theses and Dissertations

Wheat is one of the most important staple crops providing 20% of energy for 35% of the world population. Fusarium head blight (FHB), primarily caused by the fugal Fusarium graminearum Schwabe, is a damaging disease in wheat that affects global wheat production every year and causes food safety issues. The disease not only reduces the grain yield and quality but also produces mycotoxin in the diseased kernels making them unsuitable for human consumption or as livestock feeds. Breeding FHB resistant cultivar is the most effective and economical approach to managing the disease. This study combines genome-wide association study (GWAS) and …


Northern Great Plains Saline Sodic Soil Development, Classification, Remediation, And Management., Shaina Westhoff Jan 2022

Northern Great Plains Saline Sodic Soil Development, Classification, Remediation, And Management., Shaina Westhoff

Electronic Theses and Dissertations

Soil salinity and sodicity are issues of growing concern in the United States (U.S.) and globally. Knowledge gaps for glaciated, dryland salt-affected soils exist because much original salinity and sodicity research focused on irrigated systems. Land managers are being asked to produce food, feed, fiber, and fuel for an expanding global population. The number of land managers and crop advisors who are affected by these soils is increasing. Addressing salinity and sodicity knowledge gaps will be critical for their success. Salinity and sodicity have been impeding crop productivity since the advent of cultivation. Saline and sodic soils form via multiple …


Phosphorus Use And Management Based On Fertilizer Placement, Rate Of Application, And Soil Biota In No-Till Situations, Brennan Alexander Bingham Lewis Jan 2022

Phosphorus Use And Management Based On Fertilizer Placement, Rate Of Application, And Soil Biota In No-Till Situations, Brennan Alexander Bingham Lewis

Electronic Theses and Dissertations

Phosphorus (P) pollution has become a concern among multiple scientific organizations as it leads to eutrophication, an algal bloom that depletes lacustrine and marine ecosystems of native species. Multiple strategies can be implemented to reduce phosphorus loss from agriculture fields, which is often implicated as a cause of eutrophication. Soil phosphorus chemistry results in phosphate fertilizers absorbing to clay minerals over time. Soil phosphorus is lost from agricultural fields primarily through wind and water erosion. No-till practices prevent soil erosion, which reduces the phosphorus from loading into waterways. Fertilizer placement affects phosphorus loss. Surface application of phosphorus fertilizers increases the …


Effect Of Essential Oils In The Control Of Fungal Diseases In Small Grains, Esneider Mahecha Bojaca Jan 2022

Effect Of Essential Oils In The Control Of Fungal Diseases In Small Grains, Esneider Mahecha Bojaca

Electronic Theses and Dissertations

Spring wheat (Triticum aestivum L.) and oats (Avena sativa L.) are important crops due to their high consumption in our daily diet worldwide. They are the main food of consumption per capita due to the high amino-acid content as well of vitamins. However, grain production is limited due to the negative impact of the diseases that cause significant yield loss. Diseases in oats, such as crown rust caused by Puccinia coronata f. sp. avenae (Pca), and in wheat such as Fusarium head blight (FHB) caused by the fungus Fusarium graminearum. Foliar diseases such as tan spot incited by the fungi …


Phomopsis Stem Canker Of Sunflower (Helianthus Annuus L.): Etiology And Epidemiological Conditions Affecting Endophytic Population Of Diaporthe Spp., And Fungicide Efficacy, Nabin Kumar Dangal Jan 2022

Phomopsis Stem Canker Of Sunflower (Helianthus Annuus L.): Etiology And Epidemiological Conditions Affecting Endophytic Population Of Diaporthe Spp., And Fungicide Efficacy, Nabin Kumar Dangal

Electronic Theses and Dissertations

Phomopsis stem canker (PSC), caused by species of Diaporthe, is a major disease of sunflower (Helianthus annuus L.) in the U.S., which can cause yield loss over 40%. The disease prevalence increased since 2010 in the major sunflower producing U.S. states of Nebraska, Minnesota, North Dakota, and South Dakota. Previous studies on the use of foliar fungicides in managing Phomopsis stem canker indicated mixed results on their efficacy in disease reduction and yield gain. Additionally, we do not have sufficient information on asymptomatic colonization by endophytic Diaporthe on sunflower tissue and how foliar fungicide and weather parameters affect the prevalence …


Study Of Root System Architectural Traits Of Oat And Response To Endophyte Inoculation And Drought Stress, Krishna Ghimire Jan 2022

Study Of Root System Architectural Traits Of Oat And Response To Endophyte Inoculation And Drought Stress, Krishna Ghimire

Electronic Theses and Dissertations

Oat is an important cereal crop grown worldwide. Oats have the potential to contribute to human health due to their unique nutritional attributes. Developing oat cultivars with efficient root systems able to extract heterogeneously distributed soil resources can help maintain yield under drought conditions and in nutrient poor soil. Various root traits determine the soil volume that is explored by the root system for resource acquisition. Knowledge about the genetic control of oat root traits and response to biotic and abiotic environmental factors is lacking. Identifying quantitative trait loci associated with root traits and understanding the response of roots to …


Cover Crops To Improve Soil Health In The North American Great Plains, Augustine K. Obour, Logan M. Simon, Jonathon D. Holman, Patrick M. Carr, Meagan Schipanski, Steven Fonte, Rajan Ghimire, Thandiwe Nleya, Humberto Blanco-Canqui Dec 2021

Cover Crops To Improve Soil Health In The North American Great Plains, Augustine K. Obour, Logan M. Simon, Jonathon D. Holman, Patrick M. Carr, Meagan Schipanski, Steven Fonte, Rajan Ghimire, Thandiwe Nleya, Humberto Blanco-Canqui

Agronomy, Horticulture and Plant Science Faculty Publications

Rotating cereal crops (e.g., wheat [Triticum aestivum L.] with a 10- to 21-mo summer fallow period [fallow]) is a common farming practice in dryland (rainfed) agricultural regions. Fallow is associated with several challenges including low precipitation storage efficiency, depletion of soil organic carbon (SOC), loss of soil fertility, little crop residue retention and soil erosion, and few control options for herbicide-resistant (HR) weeds. The inability to effectively control HR weeds poses a major challenge to maintaining soil and water conservation practices such as no-tillage, as some producers are considering tillage to control weeds. Cover crop (CC) integration into wheat-based …


South Dakota Farmers’ Perceived Extreme Weather Frequency And Adaptation Measures, Tong Wang, Jim Ristau Dec 2021

South Dakota Farmers’ Perceived Extreme Weather Frequency And Adaptation Measures, Tong Wang, Jim Ristau

South Dakota Farm Survey

Researchers at South Dakota State University (SDSU) conducted surveys of eastern South Dakota (SD) commodity crop producers with the support of the South Dakota Corn Utilization Council. Using publicly available addresses of government program participants, a random sample of 3,000 producers were sent the survey in 2018. 650 were ineligible and 708 responded to the survey for a response rate of 30%. In 2021, the same producers who took the survey in 2018 were asked to take a follow up survey. 94 were ineligible, and 350 responded for a 59% response rate. Producers could take the survey online or via …


South Dakota Farmer Survey Chemical Use On Cropland, Tong Wang, Jim Ristau Dec 2021

South Dakota Farmer Survey Chemical Use On Cropland, Tong Wang, Jim Ristau

South Dakota Farm Survey

Researchers at South Dakota State University (SDSU) conducted surveys with South Dakota (SD) commodity crop producers in the eastern part of the state in both 2018 and 2021. Producers could take the survey online or via mail and were asked questions about their farm, farming practices including usage of soil and water conservation practices, challenges, and benefits to using conservation practices, and their attitudes about the environment. Using publicly available addresses from the Farm Service Agency of government program participants, a random sample of 3,000 producers were sent the survey in 2018. 650 were ineligible, and 708 responded to the …


South Dakota Farmers’ Usage Of Integrated Crop & Livestock Management, Tong Wang, Jim Ristau Dec 2021

South Dakota Farmers’ Usage Of Integrated Crop & Livestock Management, Tong Wang, Jim Ristau

South Dakota Farm Survey

Researchers at South Dakota State University (SDSU) conducted producer surveys in the eastern part of South Dakota in both 2018 and 2021. Producers could take the survey online or via mail and were asked questions about their farm, farming practices including usage of soil and water conservation practices, and their values. Using publicly available addresses from the Farm Service Agency, a random sample of 3,000 producers were sent the survey in 2018. 650 were ineligible, and 708 responded to the survey for a response rate of 30%. In 2021, the same producers who took the survey in 2018 were asked …


South Dakota Farmers’ Usage Of Cover Crops, Tong Wang, Jim Ristau Dec 2021

South Dakota Farmers’ Usage Of Cover Crops, Tong Wang, Jim Ristau

South Dakota Farm Survey

Researchers at South Dakota State University (SDSU) conducted producer surveys in the eastern part of South Dakota in both 2018 and 2021. Producers could take the survey online or via mail and were asked questions about their farm, farming practices including usage of soil and water conservation practices, and their values. Using publicly available addresses from the Farm Service Agency, a random sample of 3,000 producers were sent the survey in 2018. 650 were ineligible, and 708 responded to the survey for a response rate of 30%. In 2021, the same producers who took the survey in 2018 were asked …


South Dakota Farmers’ Usage Of Diversified Crop Rotations, Tong Wang, Jim Ristau Dec 2021

South Dakota Farmers’ Usage Of Diversified Crop Rotations, Tong Wang, Jim Ristau

South Dakota Farm Survey

Researchers at South Dakota State University (SDSU) conducted producer surveys in the eastern part of South Dakota in both 2018 and 2021. Producers could take the survey online or via mail and were asked questions about their farm, soil and water conservation practices, and their values. Using publicly available addresses from the Farm Service Agency, a random sample of 3,000 producers were sent the survey in 2018. 650 were ineligible, and 708 responded to the survey for a response rate of 30%. In 2021, the same producers who took the survey in 2018 were asked to take a follow up …


The Medium-Term Impacts Of Integrated Crop–Livestock Systems On Crop Yield And Economic Performance, Teerath Singh Rai, Thandiwe Nleya, Sandeep Kumar, Peter Saxton, Tong Wang, Yubing Fan Dec 2021

The Medium-Term Impacts Of Integrated Crop–Livestock Systems On Crop Yield And Economic Performance, Teerath Singh Rai, Thandiwe Nleya, Sandeep Kumar, Peter Saxton, Tong Wang, Yubing Fan

Agronomy, Horticulture and Plant Science Faculty Publications

Integrated crop–livestock (ICL) systems are diverse production systems that can improve resource utilization through spatially or temporally rotating land among crop, livestock, and pasture uses. However, research on whether the enhanced resource utilization translates to greater crop productivity is still warranted. A field experiment was initiated at South Dakota State University in 2016 to determine the impacts of integrating cover crops and livestock grazing into a crop rotation of oat (Avena sativa L.)–maize (Zea mays L.)–soybean [Glycine max (L.) Merr.]. The objectives were to (a) determine the medium-term (4–6 yr) impacts of cover crops and livestock grazing …


Farmers’ Adoption And Perceived Benefits Of Diversified Crop Rotations In The Margins Of U.S. Corn Belt, Tong Wang, Jin Hailong, Yubing Fan, Oladipo Obembe, Dapeng Li Sep 2021

Farmers’ Adoption And Perceived Benefits Of Diversified Crop Rotations In The Margins Of U.S. Corn Belt, Tong Wang, Jin Hailong, Yubing Fan, Oladipo Obembe, Dapeng Li

Economics Faculty Publications

Monoculture and simplified two-crop rotation systems compromise the ecosystem services essential to crop production, diminish agricultural productivity, and cause detrimental effects on the environment. In contrast to the simplified two-crop rotation, diversified crop rotation (DCR) refers to rotation systems that contain three or more crops. Despite multiple benefits generated by DCR, its usage has dwindled over the past several decades. This paper examined determinants of farmers' adoption decisions and perceived benefits of DCR in the west margins of the U.S. Corn Belt where crop diversity has declined. We analyzed 708 farmer responses from a farmer survey conducted in the eastern …


Data From A Public–Industry Partnership For Enhancing Corn Nitrogen Research, Curtis J. Ransom, Jason Clark, Gregory Mac Bean, Chris Bandura, Matthew E. Shafer, Newell R. Kitchen, Et.Al Sep 2021

Data From A Public–Industry Partnership For Enhancing Corn Nitrogen Research, Curtis J. Ransom, Jason Clark, Gregory Mac Bean, Chris Bandura, Matthew E. Shafer, Newell R. Kitchen, Et.Al

Agronomy, Horticulture and Plant Science Faculty Publications

Improving corn (Zeamays L.) N managementis pertinent to economic andenvironmental 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 2014–2016 growing seasons with many soil, plant, and weather related measurements. This note provides the data (found in supplemental files), outlines the data, summarizes key findings, and highlights …


Yield And Economic Performance Of Crop Rotation Systems In South Dakota, Hanxiao Feng, Tong Wang, Shannon L. Osborne, Sandeep Kumar Aug 2021

Yield And Economic Performance Of Crop Rotation Systems In South Dakota, Hanxiao Feng, Tong Wang, Shannon L. Osborne, Sandeep Kumar

Economics Faculty Publications

Crop yield and economic profitability, both highly dependent on local crop management, soil characteristics, and weather conditions, are among the most influential factors to consider when considering a cropping system. The objective of this study was to compare the economic returns of three different 4-yr diverse crop rotations with that of a 2-yr traditional crop rotation in eastern South Dakota. The rotations included were (a) corn (Zea mays L.)–soybean [Glycine max (L.) Merr.]–spring wheat (Triticum aestivum L.)–pea (Pisum sativum L.) (CSSwP), (b) corn–pea–winter wheat–soybean (CPWwS), (c) corn–oat (Avena sativa L.)–winter wheat–soybean (COWwS), and (d) corn–soybean …