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Articles 61 - 90 of 182
Full-Text Articles in Agronomy and Crop Sciences
Midseason Nitrogen Sufficiency Guidelines For Corn Production In Arkansas Based On Tissue Analysis And Remote Sensing, Caio Luiz Dos Santos
Midseason Nitrogen Sufficiency Guidelines For Corn Production In Arkansas Based On Tissue Analysis And Remote Sensing, Caio Luiz Dos Santos
Graduate Theses and Dissertations
There are a lack of tools to assess midseason nitrogen (N) status in corn (Zea mays L.) production systems and identify the need for additional N fertilization. This study was conducted to determine the ability of leaf N concentration (LN) and the Dark Green Color Index (DGCI) at the 10th collared leaf stage (V10), the 12th collared leaf stage (V12), and tasseling (VT) to predict if midseason N is required to maximize corn grain yield. From 2017 to 2019, eight field studies with 11 N treatments ranging from 0 to 258 kg N ha-1 were conducted on silt loam soils …
Corn Response To Wastewater-Recycled Phosphorus Fertilizers, Shane R. Ylagan, Kristofor R. Brye
Corn Response To Wastewater-Recycled Phosphorus Fertilizers, Shane R. Ylagan, Kristofor R. Brye
Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences
The ability to recycle phosphorus (P) from wastewaters could provide a sustainable, continuous source of P that might also help protect surface water quality from P enrichment. The mineral struvite (MgNH4PO4 · 6H2O) is an understudied material that can be created from P- and nitrogen (N)-containing wastewater and has been shown to have agricultural fertilizer value. The objective of this study was to evaluate the effects of electrochemically precipitated struvite (ECST), chemically precipitated struvite (Crystal Green; CG), diammonium phosphate (DAP), monoammonium phosphate (MAP), rock phosphate (RP), and triple superphosphate (TSP) on corn (Zea mays) response in a greenhouse pot study. …
Transforming Unmanned Aerial Vehicle (Uav) And Multispectral Sensor Into A Practical Decision Support System For Precision Nitrogen Management In Corn, Laura J. Thompson, Laila A. Puntel
Transforming Unmanned Aerial Vehicle (Uav) And Multispectral Sensor Into A Practical Decision Support System For Precision Nitrogen Management In Corn, Laura J. Thompson, Laila A. Puntel
Department of Agronomy and Horticulture: Faculty Publications
Determining the optimal nitrogen (N) rate in corn remains a critical issue, mainly due to unaccounted spatial (e.g., soil properties) and temporal (e.g., weather) variability. Unmanned aerial vehicles (UAVs) equipped with multispectral sensors may provide opportunities to improve N management by the timely informing of spatially variable, in-season N applications. Here, we developed a practical decision support system (DSS) to translate spatial field characteristics and normalized difference red edge (NDRE) values into an in-season N application recommendation. On-farm strip-trials were established at three sites over two years to compare farmer’s traditional N management to a split-application N management guided by …
Integration Of Cover Crops Into Midwest Corn-Soybean Cropping Systems And Potential For Weed Suppression, Joshua S. Wehrbein
Integration Of Cover Crops Into Midwest Corn-Soybean Cropping Systems And Potential For Weed Suppression, Joshua S. Wehrbein
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Cover crops have potential to provide benefits to agricultural systems, such as improved soil productivity, nutrient scavenging, weed suppression, and livestock forage. There are several challenges associated with cover crop integration into traditional Midwest corn-soybean cropping systems. One of these challenges is timely establishment in the fall, which is limited by the relatively late harvest of corn and soybean. Cover crop effectiveness is related to the amount of biomass produced, thus maximizing the growth period in the fall is desired. To address this challenge, we evaluated the potential to utilize early-season soybean maturity groups (MGs) to allow for earlier soybean …
Arkansas Corn And Grain Sorghum Performance Tests 2019, J. F. Carlin, R. D. Bond, J. A. Still
Arkansas Corn And Grain Sorghum Performance Tests 2019, J. F. Carlin, R. D. Bond, J. A. Still
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers. The 2019 corn performance tests contained 74 hybrids and were conducted at the Northeast Research and Extension Center (NEREC) at Keiser, the Lon Mann Cotton Research Station (LMCRS) near Marianna, the Bell Farming Company near Des Arc, the Rohwer Research Station (RRS) near Rohwer and the Rice Research and Extension Center (RREC) near Stuttgart. The 2019 …
Factors Influencing The Spatial Distribution Of Southern Rust In Corn, Justin Bailey
Factors Influencing The Spatial Distribution Of Southern Rust In Corn, Justin Bailey
Graduate Theses and Dissertations
Southern rust caused by the fungus Puccinia polysora (Underwood) is the most economically important foliar disease in corn (Zea mays) (Linnaeus) (Cyperales: Poaceae)) for Arkansas. The objective of this work was to determine distribution of southern rust in corn and to determine factors that may control its distribution.
During the 2017 and 2018 season, seven corn fields in Arkansas were rated for southern rust. After disease confirmation, fields were marked with GPS sample point locations in a grid pattern across the entire field. Ratings for disease severity were taken below, at, and above the ear leaf at each point every …
Model Gge Biplot Untuk Visualisasi Interaksi Genotip (G) X Naungan (E) Pada Jagung Toleran Naungan Pada Sistem Agroforestri, Muhammad Syafii, Dedi Ruswandi
Model Gge Biplot Untuk Visualisasi Interaksi Genotip (G) X Naungan (E) Pada Jagung Toleran Naungan Pada Sistem Agroforestri, Muhammad Syafii, Dedi Ruswandi
Jurnal Kultivasi
Jagung adalah serealia penting di Indonesia yang bernilai ekonomis dan strategis untuk dikembangkan sebagai bahan baku pangan (food), pakan (feed), dan minyak (fuel). Varietas jagung yang toleran terhadap intensitas naungan merupakan solusi tepat untuk meningkatkan produksi jagung melalui pemanfaatan lahan agroforestri. GGE biplot adalah model untuk visualisasi dan interpretasi data hasil pengujian genotipe pada lingkungan berbeda. Visualisasi aspek genotipe (G) dan lingkungan (E), dan hubungan keduanya (GXE) digambarkan sebagai biplot. Tujuan adalah untuk seleksi genotipe jagung toleran naungan pada sistem agroforestri. Penelitian dilaksanakan pada Maret-Agustus 2014 di Kebun Percobaan Cimalaka Sumedang menggunakan Split Plot Design diulang 2 kali. Data dianalisis …
Development Of A Nitrogen Recommendation Tool For Corn Considering Static And Dynamic Variables, Laila A. Puntel, Agustin Pagani, Sotirios V. Archontoulis
Development Of A Nitrogen Recommendation Tool For Corn Considering Static And Dynamic Variables, Laila A. Puntel, Agustin Pagani, Sotirios V. Archontoulis
Department of Agronomy and Horticulture: Faculty Publications
Many soil and weather variables can affect the economical optimum nitrogen (N) rate (EONR) for maize. We classified 54 potential factors as dynamic (change rapidly over time, e.g. soil water) and static (change slowly over time, e.g. soil organic matter) and explored their relative importance on EONR and yield prediction by analyzing a dataset with 51 N trials from Central-West region of Argentina. Across trials, the average EONR was 113 ± 83 kg N ha−1 and the average optimum yield was 12.3 ± 2.2 Mg ha−1, which is roughly 50% higher than the current N rates used …
Evaluation Of Stabilized Fertilizer And Crop Canopy Sensors As Next-Generation Nitrogen Management Technologies In Irrigated Corn, Leonardo Mendes Bastos
Evaluation Of Stabilized Fertilizer And Crop Canopy Sensors As Next-Generation Nitrogen Management Technologies In Irrigated Corn, Leonardo Mendes Bastos
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Nitrogen (N) is often the most limiting nutrient to corn. Once applied to the field, N can be lost through different pathways, which contributes to low N use efficiency (NUE) by plants. Increases in NUE and decreases in N losses can be potentially achieved by using management options that allow a better synchrony between N supply and demand, such as stabilized fertilizers, and spatially-variable sensor-derived in-season N application. Three studies were conducted in order to assess the effects of different stabilized fertilizers and crop canopy sensors on irrigated corn yield. The first study evaluated the effect of urease inhibitor on …
Statistical And Machine Learning Methods Evaluated For Incorporating Soil And Weather Into Corn Nitrogen Recommendations, Curtis J. Ransom, Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabian G. Fernandez, David W. Franzen, Carrie A. M. Laboski, D. Brenton Myers, Emerson D. Nafziger, John E. Sawyer, John F. Shanahan
Statistical And Machine Learning Methods Evaluated For Incorporating Soil And Weather Into Corn Nitrogen Recommendations, Curtis J. Ransom, Newell R. Kitchen, James J. Camberato, Paul R. Carter, Richard B. Ferguson, Fabian G. Fernandez, David W. Franzen, Carrie A. M. Laboski, D. Brenton Myers, Emerson D. Nafziger, John E. Sawyer, John F. Shanahan
Department of Agronomy and Horticulture: Faculty Publications
Nitrogen (N) fertilizer recommendation tools could be improved for estimating corn (Zea mays L.) N needs by incorporating site-specific soil and weather information. However, an evaluation of analytical methods is needed to determine the success of incorporating this information. The objectives of this research were to evaluate statistical and machine learning (ML) algorithms for utilizing soil and weather information for improving corn N recommendation tools. Eight algorithms [stepwise, ridge regression, least absolute shrinkage and selection operator (Lasso), elastic net regression, principal component regression (PCR), partial least squares regression (PLSR), decision tree, and random forest] were evaluated using a dataset …
Arkansas Corn And Grain Sorghum Performance Tests 2018, R. D. Bond, J. A. Still, J. F. Carlin
Arkansas Corn And Grain Sorghum Performance Tests 2018, R. D. Bond, J. A. Still, J. F. Carlin
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.
A Systems Modeling Approach To Forecast Corn Economic Optimum Nitrogen Rate, Laila A. Puntel, John E. Sawyer, Daniel W. Barker, Peter J. Thorburn, Michael J. Castellano, Kenneth J. Moore, Andy Vanloocke, Emily A. Heaton, Sotirios V. Archontoulis
A Systems Modeling Approach To Forecast Corn Economic Optimum Nitrogen Rate, Laila A. Puntel, John E. Sawyer, Daniel W. Barker, Peter J. Thorburn, Michael J. Castellano, Kenneth J. Moore, Andy Vanloocke, Emily A. Heaton, Sotirios V. Archontoulis
Department of Agronomy and Horticulture: Faculty Publications
Historically crop models have been used to evaluate crop yield responses to nitrogen (N) rates after harvest when it is too late for the farmers to make in-season adjustments. We hypothesize that the use of a crop model as an in-season forecast tool will improve current N decision-making. To explore this, we used the Agricultural Production Systems sIMulator (APSIM) calibrated with long-term experimental data for central Iowa, USA (16-years in continuous corn and 15-years in soybean-corn rotation) combined with actual weather data up to a specific crop stage and historical weather data thereafter. The objectives were to: (1) evaluate the …
Impaired Phloem Loading In Zmsweet13a,B,C Sucrose Transporter Triple Knock-Out Mutants In Zea Mays, Margaret Bezrutczyk, Thomas Hartwig, Marc Horschman, Si Nian Char, Jinliang Yang, Bing Yang, Wolf B. Frommer, Davide Sosso
Impaired Phloem Loading In Zmsweet13a,B,C Sucrose Transporter Triple Knock-Out Mutants In Zea Mays, Margaret Bezrutczyk, Thomas Hartwig, Marc Horschman, Si Nian Char, Jinliang Yang, Bing Yang, Wolf B. Frommer, Davide Sosso
Department of Agronomy and Horticulture: Faculty Publications
Crop yield is critical for human nutrition, yet the underlying machinery that ultimately determines yield potential is still not understood. Crop productivity under ideal conditions is determined by the efficiency with which plants intercept light, convert it into chemical energy, translocate photosynthates and convert these to storage products in harvestable organs (Zhu et al., 2010). In many crops, sucrose is the primary form for translocation inside the conduit (i.e. the phloem). A combination of SWEETmediated efflux from phloem parenchyma and subsequent secondary active sucrose import by SUT sucrose/H+ symporters is thought to create the driving force for pressure gradient-driven …
Respons Jagung (Zea Mays L.) Akibat Jarak Tanam Pada Sistem Tanam Legowo (2:1) Dan Berbagai Dosis Pupuk Nitrogen Pada Tanah Inceptisol Jatinangor, Agus Wahyudin, Yuyun Yuwariah, Fiky Yulianto Wicaksono, Reza Aed Galib Bajri
Respons Jagung (Zea Mays L.) Akibat Jarak Tanam Pada Sistem Tanam Legowo (2:1) Dan Berbagai Dosis Pupuk Nitrogen Pada Tanah Inceptisol Jatinangor, Agus Wahyudin, Yuyun Yuwariah, Fiky Yulianto Wicaksono, Reza Aed Galib Bajri
Jurnal Kultivasi
Di Indonesia jagung menjadi sumber karbohidrat kedua setelah padi. Selain sebagai sumber kebutuhan pangan jagung juga dapat digunakan sebagai sumber pakan ternak dan bahan baku industri.Penelitian ini bertujuan untuk mengamatiinteraksi sistem tanam legowo (2:1) dengan pupuk N yang menghasilkan pertum-buhan dan hasil terbaik pada tanaman jagung (Zea mays L.) Hibrida Pertiwi 3, di Jatinangor mulai bulan November 2016 sampai Maret 2017. Percobaan menggunakan Rancangan Acak Kelompok Pola Faktorial. Perlakuan terdiri dari dua faktor, masing-masing faktor terdiri dari tiga taraf dan diulang tiga kali. Faktor pertama adalah sistem tanam legowo (2:1) dengan menggunakan jarak tanam yang terdiri dari tiga taraf yaitu …
Arkansas Corn And Grain Sorghum Peformance Tests 2017, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Corn And Grain Sorghum Peformance Tests 2017, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.
Pengaruh Berbagai Jenis Surfaktan Pada Herbisida Glufosinat Terhadap Pengendalian Gulma Dan Hasil Tanaman Jagung (Zea Mays L.) Di Jatinangor, Denny Kurniadie, Yayan Sumekar, Intan Buana
Pengaruh Berbagai Jenis Surfaktan Pada Herbisida Glufosinat Terhadap Pengendalian Gulma Dan Hasil Tanaman Jagung (Zea Mays L.) Di Jatinangor, Denny Kurniadie, Yayan Sumekar, Intan Buana
Jurnal Kultivasi
Penambahan surfaktan diduga dapat mengoptimalkan pengendalian gulma menggunakan herbisida. Penelitian ini bertujuan untuk mengetahui pengaruh jenis dan konsentrasi surfaktan pada pengendalian kimia menggunakan herbisida Glufosinat terhadap gulma di pertanaman jagung (Zea mays L.). Penelitian ini dilakukan dari bulan September sampai dengan Desember 2016 di Kebun Percobaan Ciparanje Unpad. Rancangan perlakuan yang digunakan adalah Rancangan Acak Kelompok (RAK) dengan 9 perlakuan yaitu: Glufosinate + surfaktan nonionik 15%; Glufosinate + surfaktan anionik 15%; Glufosinate + surfaktan kationik 15%; Glufosinate; Glufosinate + surfaktan nonionik 20%; Glufosinate + surfaktan anionik 20%; Glufosinate + surfaktan kationik 20%; Penyiangan Mekanis; Kontrol (tanpa perlakuan); diulang 3 kali …
Temporal Evaluation Of Corn Respiration Rates Using Pressure Sensors, Gagandeep Singh Ubhi
Temporal Evaluation Of Corn Respiration Rates Using Pressure Sensors, Gagandeep Singh Ubhi
Graduate Theses and Dissertations
High respiration rate of a grain indicates faster degradation of its dry matter. Proper grain management requires chronological and precise measurements of carbon dioxide evolved from grain respiration during the postharvest storage duration. Therefore the main goal of this research was to develop a new technique that evaluates temporal corn respiration rate using pressure sensors. It was based on measuring pressure drop associated with the grain respiration in a closed container and using it to calculate the grain respiration rates.
Dry corn (Zea Mays L.) was procured from a local farmer and stored at 4ºC. Corn rewetting technique was applied …
Field-Observed Angles Of Repose For Stored Grain In The United States, Rumela Bhadra, Mark E. Casada, Sidney A. Thompson, Josephine M. Boac, Ronaldo G. Maghirang, Michael D. Montross, Aaron P. Turner, Samuel G. Mcneill
Field-Observed Angles Of Repose For Stored Grain In The United States, Rumela Bhadra, Mark E. Casada, Sidney A. Thompson, Josephine M. Boac, Ronaldo G. Maghirang, Michael D. Montross, Aaron P. Turner, Samuel G. Mcneill
Biosystems and Agricultural Engineering Faculty Publications
Bulk grain angle of repose (AoR) is a key parameter for inventorying grain, predicting flow characteristics, and designing bins and grain handling systems. The AoR is defined for two cases, piling (dynamic) or emptying (static), and usually varies with grain type. The objective of this study was to measure piling angles of repose for corn, sorghum, barley, soybeans, oats, and hard red winter (HRW) wheat in steel and concrete bins in the United States. Angles were measured in 182 bins and 7 outdoor piles. The piling AoR for corn ranged from 15.7° to 30.2° (median of 20.4° and standard deviation …
Residual Effects Of Nitrogen Fertilization On Soil Nitrogen Pools And Corn Growth, Meghan E. Moser
Residual Effects Of Nitrogen Fertilization On Soil Nitrogen Pools And Corn Growth, Meghan E. Moser
Open Access Theses
Given the dynamic nature of soil nitrogen (N), inorganic N fertilization to corn (Zea mays L.) has potential to alter N pool balance by creating an accumulation or depletion of soil N. Current corn N recommendations in the common corn-soybean rotation of Indiana strive to find the best N rate that maximizes producer profit. Increasing our understanding of soil N will inform producers if they should adjust fertilizer rates for corn to influence maintenance of organic N and Carbon. Our objective was to determine residual N effects from fertilized corn in a corn-soybean rotation by measuring (1) soil N …
Arkansas Corn And Grain Sorghum Peformance Tests 2016, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Corn And Grain Sorghum Peformance Tests 2016, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.
A Brief History Of Corn: Looking Back To Move Forward, Jon Derek Pruitt
A Brief History Of Corn: Looking Back To Move Forward, Jon Derek Pruitt
Doctor of Plant Health Program: Dissertations and Student Research
Maize was domesticated from teosinte in Mexico some 7,000 to 10,000 years ago and quickly spread through the Americas. It has become one of the most important crops at a local and global level. Two types, Northern Flint corn and Southern Dent corns provided the basis of the genetic background of modern maize hybrids. The development of hybrids, first double-cross and later single-cross hybrids, along with a transition to high input farming provided huge yield increases, which have continued to improve with improving technology.
Increase in maize production also caused a rise in Western corn Rootworm (Diabrotica virgifera virgifera …
A Vision For Extension: Case Studies On Managing Extreme Weather Challenges In Corn, Anthony J. Mcmechan
A Vision For Extension: Case Studies On Managing Extreme Weather Challenges In Corn, Anthony J. Mcmechan
Doctor of Plant Health Program: Dissertations and Student Research
Global demand for corn is projected to rise in the coming decades to meet the food and fuel requirements of an increasing human population. Technological innovations have significantly improved corn yields over the past few decades; however, corn production is continually limited by unfavorable weather conditions. Extreme weather events put pressure on producers, adjustors, and consultants to make quick management decisions to maintain the highest return on their investment. Proper management decisions require an understanding of plant response and practical ways of applying this knowledge under real world conditions.
The following document was written after completing a six-month internship at …
Corn (Zea Mays L.) Seeding Rate Optimization In Iowa, Usa, Mark A. Licht, Andrew W. Lenssen, Roger W. Elmore
Corn (Zea Mays L.) Seeding Rate Optimization In Iowa, Usa, Mark A. Licht, Andrew W. Lenssen, Roger W. Elmore
Department of Agronomy and Horticulture: Faculty Publications
Collecting soil, topography, and yield information has become more feasible and reliable with advancements in precision technologies. Combined with the accessibility of precision technologies and services to farmers, there has been increased interest and ability to make site-specific crop management decisions. The objective of this research was to develop procedures to optimize corn seeding rates and maximize yield using soil and topographic parameters. Experimental treatments included five seeding rates (61 750; 74 100; 86 450; 98 800; and 111 150 seeds ha-1) in a randomized complete block design in three central Iowa fields from 2012 to 2014 (nine …
Evaluation Of Tillage, Crop Rotation, And Cover Crop Impacts On Corn Nitrogen Requirements In Southeastern South Dakota, Sara Louise Berg
Evaluation Of Tillage, Crop Rotation, And Cover Crop Impacts On Corn Nitrogen Requirements In Southeastern South Dakota, Sara Louise Berg
Electronic Theses and Dissertations
Nitrogen (N) is a vital factor of corn (Zea mays) production. Previous work in South Dakota has shown that there is uncertainty as to whether nitrogen requirements are the same for corn raised under no-till (NT) versus conventional till (CT) production systems. The objective of this study was to evaluate whether N requirements continue to be greater under long-term NT versus CT production systems in southeastern South Dakota, while also considering effects from cover crops and crop rotation. This was a two year study conducted at the SDSU Southeast Research Farm near Beresford, SD; it was superimposed on a long-term …
Goss's Bacterial Wilt Development And Clavibacter Michiganensis Subsp. Nebraskensis Interactions With Spray Adjuvants, Sarah A. Schlund
Goss's Bacterial Wilt Development And Clavibacter Michiganensis Subsp. Nebraskensis Interactions With Spray Adjuvants, Sarah A. Schlund
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Goss’s bacterial wilt and leaf blight of corn (Zea mays L.), causal agent Clavibacter michiganensis subsp. nebraskensis, was first confirmed in Dawson County, NE in 1969. Disease incidence decreased in the 1980’s due to various management strategies and disease developed sporadically until the early 2000’s when it re-emerged and was economically important. A Midwest, multistate survey conducted in 2011 suggested farming practices that may have contributed to the pathogen’s re-emergence. The use of agricultural pesticides was associated with Goss’s wilt. Since spray adjuvants are often used with pesticides, and physical characteristics of these adjuvants may enable infection of …
Arkansas Corn And Grain Sorghum Performance Tests 2015, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Corn And Grain Sorghum Performance Tests 2015, R. D. Bond, J. A. Still, D. G. Dombek
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.
Nitrogen And Water Effects On Canopy Sensor Measurements For Site-Specific Management Of Crops, Nicholas C. Ward
Nitrogen And Water Effects On Canopy Sensor Measurements For Site-Specific Management Of Crops, Nicholas C. Ward
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Water and nitrogen (N) are undoubtedly the two largest agricultural inputs globally. Coupled with advances in site-specific management technology their integration into production agriculture will allow for the most efficient use these crop input resources. Active canopy sensors offer the ability to measure biophysical plant traits rapidly and make assessments about plant status. Specifically, optical sensor measurements of light reflectance assess plant N status allowing for in-season and on-the-go N recommendations and applications; while infrared thermometers (IRT) measurement of canopy temperature can be used a tool for irrigation management. To evaluate how these technologies work among different plant stress environments …
Maize Yield And Components As Influenced By Environment And Agronomic Management, Jeremy J. Milander
Maize Yield And Components As Influenced By Environment And Agronomic Management, Jeremy J. Milander
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Yield component analysis research on dent maize and waxy maize (Zea mays L.) as related to crop management is limited in Europe and the United States. Two research studies were conducted in 2012 and 2013 at Mead and North Platte, NE and Zagreb, Croatia with the objective to determine the influence of environment, water regime, hybrid, and plant population on maize yield and yield components. Grain yield, ears m-2, kernels ear-1, kernels row-1, rows ear-1, ear length and circumference, and kernel weight were measured. Environment and water regime altered maize yield …
Pack Factor Measurements For Corn In Grain Storage Bins, Rumela Bhadra, Aaron P. Turner, Mark E. Casada, Michael D. Montross, Sidney A. Thompson, Josephine M. Boac, Samuel G. Mcneill, Ronaldo G. Maghirang
Pack Factor Measurements For Corn In Grain Storage Bins, Rumela Bhadra, Aaron P. Turner, Mark E. Casada, Michael D. Montross, Sidney A. Thompson, Josephine M. Boac, Samuel G. Mcneill, Ronaldo G. Maghirang
Biosystems and Agricultural Engineering Faculty Publications
Shelled yellow corn is commonly stored in concrete or corrugated steel bins. Granular materials compact under their own weight, primarily due to particle rearrangement, leading to an increase in bulk density and a change in volume when stored. Reliable grain pack factors are needed to estimate storage capacities and to accurately monitor grain inventories. A science-based model (WPACKING) of pack factors is available that uses the differential form of Janssen's equation and takes into account the variation in density caused by pressure variation with height and moisture content of the grain and accounts for the effects of grain type, test …
Arkansas Corn And Grain Sorghum Performance Tests 2014, R. D/ Bond, D. G. Dombek, J. A. Still
Arkansas Corn And Grain Sorghum Performance Tests 2014, R. D/ Bond, D. G. Dombek, J. A. Still
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas System Division of Agriculture. The tests provide information to companies marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.