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Recipients of 2023 Agronomy Journal Editor's Citation for Excellence Named Agron. J. (IF 2.1) Pub Date : 2024-04-25
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Selection based on the phenomenic approach and agronomic ideotic of white oat Agron. J. (IF 2.1) Pub Date : 2024-04-23 Leonardo Cesar Pradebon, Ivan Ricardo Carvalho, José Antonio Gonzalez Da Silva, Murilo Veiera Loro, Adriano Lucas Pettenon, João Pedro Dalla Roza, Adriano Dietterle Schulz, Thayane Beck Da Silva
This work aimed to propose multivariate selection strategies reconciling the agronomic ideotype and vegetation indices to obtain genotypes with high tillering, early cycle, tolerant to lodging, and foliar diseases. The sowing of white oat lines was carried out on April 27, 2023, allocated in an experimental design of blocks augmented with interspersed controls. The regular treatments correspond to
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Validating APSIM for the Northern Territory of Australia: An environment with challenging weather and soils Agron. J. (IF 2.1) Pub Date : 2024-04-21 Keith G. Pembleton, Ando M. Radanielson
Extreme weather (high rainfall and temperatures) and challenging soils are sources of uncertainties in the use of current crop models that have been developed for more favorable environments. This may limit their applicability to guide and support decision making for the development of new agricultural regions in tropical environments. We evaluated the accuracy of the Agricultural Production Systems
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Analyze as randomized—Why dropping block effects in designed experiments is a bad idea? Agron. J. (IF 2.1) Pub Date : 2024-04-21 Janina Frey, Jens Hartung, Joseph Ogutu, Hans‐Peter Piepho
Agricultural experiments are often laid out as blocked designs such as the randomized complete block designs (RCBD) or split‐plot designs (SPD). Statistical analysis should follow the principle “analyze as randomized.” However, block effects are often not modeled or are typically dropped from the model when non‐significant. Additionally, if linear mixed models are fitted by REML with a non‐negativity
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Integration effects of soil amendments and cover crops on dryland no‐till corn Agron. J. (IF 2.1) Pub Date : 2024-04-17 A. Adeli, J. P. Brooks, D. M. Miles, J. Hu, Y. Huang, R. Bheemanahalli, J. N. Jenkins
A field study was carried out at the Mississippi Agricultural and Forestry Experiment Station near Pontotoc to evaluate the synergistic impacts of broiler litter (BL) and inorganic fertilizer nitrogen (N) with flue gas desulfurization (FGD) gypsum and lignite in the presence of winter cover crops (WCCs) on dryland no‐till corn (Zea mays L.) in Falkner silt loam soil. The experimental design was a split‐plot
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Weed control efficacy and dry bean response to preemergence herbicide incorporation timing Agron. J. (IF 2.1) Pub Date : 2024-04-13 Albert T. Adjesiwor, P. Bhattarai, C. L.‐M. Montgomery, J. Gomm
Field experiments were conducted in 2021 and 2022 to evaluate the effect of irrigation timing on S‐ethyl‐N,N‐dipropylthiocarbamate (EPTC), flumioxazin, pyroxasulfone, and flumioxazin + pyroxasulfone weed control efficacy and safety in dry bean (Phaseolus vulgaris L.). Treatments consisted of EPTC (3430 g ai ha−1), flumioxazin (53.6 g ai ha−1), pyroxasulfone (119 g ai ha−1), and flumioxazin + pyroxasulfone
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Estimating soil organic carbon sequestration potential in the Chinese Mollisols region Agron. J. (IF 2.1) Pub Date : 2024-04-13 Hui Li, Rongfang Qian, Jiubo Pei, Shuangyi Li, Jingkuan Wang
Mollisols region of China is a ballast stone of Chinese food security. In this study, 484 soil organic carbon (SOC) data points from the documented soil surface (0–20 cm) samples in the typical Chinese Mollisols region were selected. The regional soil fertility was divided into high, medium, and low levels based on the SOC content from the long‐term positioning fertilization stations in Shenyang, Harbin
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Innovative approach to predict soil moisture using the backpropagation‐Elman neural network Agron. J. (IF 2.1) Pub Date : 2024-04-09 Ao Yang Zhang, Na Wei, Jin Xue, Yi Qiao, Haiyu Hu, Lei Mou, Xingwei Wang
Accurate moisture prediction aids in taking early preventive measures to minimize damage caused by severe storms, droughts, and floods. The study collected 24 types of statistical data from the Xilingol Grassland, Inner Mongolia, spanning from 2011 to 2021. By integrating Elman, backpropagation (BP), and soil moisture prediction model (Elman‐BP) neural networks, soil moisture to 2 m was predicted.
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Corn response to strip‐tillage and phosphorus fertilization in the Northern Great Plains Agron. J. (IF 2.1) Pub Date : 2024-03-27 Magdalena Rogalsky, Kevin H. D. Tiessen, Don Flaten, Yvonne Lawley, Mario Tenuta, John Heard
Strip‐tillage is an emerging conservation tillage/residue management system for corn production in the Northern Great Plains. Producers in Manitoba are becoming more interested in strip‐tillage as it may provide many of the soil conservation benefits of no‐tillage production without potential limitations of cold soils in the spring common to this region. A 2‐year study evaluated corn (Zea mays L.)
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A 2‐year, multi‐county survey of plant‐parasitic nematodes in North Carolina flue‐cured tobacco Agron. J. (IF 2.1) Pub Date : 2024-03-27 Hannah C. Bonyak, Matthew C. Vann, Weimin Ye, Ramsey S. Lewis, Adrienne M. Gorny
North Carolina is the leading producer of flue‐cured tobacco (Nicotiana tabacum L.) in the United States. Production in the state is threatened by numerous plant‐parasitic nematodes, including Meloidogyne spp. (root‐knot), Globodera tabacum (tobacco cyst), Pratylenchus spp. (lesion), Rotylenchulus reniformis (reniform), and Tylenchorhynchus spp. (stunt) nematodes. The invasive Meloidogyne enterolobii
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Evaluation of temporal trends of growing degree days index for major crops in Türkiye Agron. J. (IF 2.1) Pub Date : 2024-03-27 Hüdaverdi Gürkan, Mithat Ekici, Onur Hakan Doğan, Yusuf Çalik, Osman Eskioğlu, Serpil Yağan, Hüseyin Bulut, Elif Müdrike Özmutlu
Climate change, previously considered an environmental problem, has begun to be defined as a climate crisis since its effects intensify faster than previously thought, cause severe economic losses, and threaten food security. Climate indexes have been defined as the primary descriptive indicator to acquire a consistent perspective on observed and projected changes resulting from weather and climatic
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Does fall manure injection cause differential growth and forage nutritive value in small grains? Agron. J. (IF 2.1) Pub Date : 2024-03-25 Derek R. Hilfiker, Rory O. Maguire, Gonzalo Ferreira, Wade E. Thomason, Ryan D. Stewart
Producers utilizing fall manure injection have reported increased growth and greenness in small grains growing on the injection band compared to small grains growing between injection bands. To determine how producers utilizing fall manure injection in small grains should manage potential differential growth, 24 sites under fall manure injection were established. Soil samples were taken in‐band and
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Genotype, environment, and their interaction effects on peanut seed protein, oil, and fatty acid content variability Agron. J. (IF 2.1) Pub Date : 2024-03-22 Ming Li Wang, Brandon Tonnis, Xianran Li, Ryan Benke, Edward Huang, Shyam Tallury, Naveen Puppala, Ze Peng, Jianping Wang
Products from peanut seeds are nutritious for human and/or animal consumption. Peanut seed nutritional quality is determined by the genotype (G) of cultivars or accessions, environmental conditions (E), and their interactions (G × E). To evaluate the effects of genotype, environment, and their interactions on seed nutritional quality, 52 peanut germplasm accessions, which vary in oil content and fatty
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Historic corn yield, production, and economic value trends in Kansas Agron. J. (IF 2.1) Pub Date : 2024-03-22 Johnathan D. Holman, Augustine K. Obour, Daniel O'Brien, P. V. V. Prasad, Yared Assefa
World corn (Zea mays L.) production has tripled since the 1960s. However, without new breakthrough innovations the trend is expected to plateau or decrease in the future. The objective of this study was to quantify Kansas corn production, economic value, productivity, annual production variation, yield gap trends, and in due course, identify future areas for research. Corn variety performance tests
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Perspective of US farmers on collaborative on‐farm agronomic research Agron. J. (IF 2.1) Pub Date : 2024-03-21 Carlos B. Pires, Fernanda S. Krupek, Gabriela I. Carmona, Osler A. Ortez, Laura Thompson, Daniel J. Quinn, Andre F. B. Reis, Rodrigo Werle, Péter Kovács, Maninder P. Singh, J. M. Shawn Hutchinson, Dorivar Ruiz Diaz, Charles W. Rice, Ignacio A. Ciampitti
On‐farm research has emerged in recent years as a unique approach to involve farmers and other agricultural stakeholders as active participants in knowledge development and as an effective method of technology and innovation transfer across farms. This study assessed the perspective and knowledge of US farmers regarding on‐farm research via the implementation of a 24‐question survey distributed across
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Aeschynomene overseeding and nitrogen fertilization effects in bahiagrass litter decomposition Agron. J. (IF 2.1) Pub Date : 2024-03-20 Jaime Garzon, Joao M. B. Vendramini, Maria L. Silveira, Jose Carlos B. Dubeux, Lynn E. Sollenberger, Hui‐Ling Liao, Hiran M. S. da Silva, Vinicius C. Gomes, Hugo M. R. Oliveira, Philipe Moriel
Productivity of tropical and subtropical grasslands is often limited by inadequate nitrogen (N) supply. Aeschynomene (Aeschynomene americana L.) is a warm‐season legume that may contribute as N input in grazing systems, but there is limited information about aeschynomene litter decomposition and N dynamics on pastures. The objective of this study was to quantify the effect of overseeding aeschynomene
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United States crop conditions: 1986–2022 Agron. J. (IF 2.1) Pub Date : 2024-03-19 Logan R. Bundy, Vittorio A. Gensini, Walker S. Ashley, Alex M. Haberlie, David Changnon
USDA National Agricultural Statistics Service general crop condition data are used to quantify the relationship between crop conditions and yield, condition tendencies during the growing season, how conditions vary across the United States, and how conditions have trended for the 1986–2022 period for a variety of crops: barley (Hordeum vulgare L.), corn (Zea mays L.), cotton (Gossypium hirsutum L.)
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Improving cotton yield and fiber quality in different tropical soils with boron fertilization Agron. J. (IF 2.1) Pub Date : 2024-03-14 Luis Fernando dos Santos Cordeiro, João Vitor Cordeiro Malenowtch, Carlos Felipe dos Santos Cordeiro, José Ari Castilho Detoni Filho, Enes Furlani Júnior, Samuel Ferrari
Cotton (Gossypium hirsutum L.) is responsive to boron (B) fertilization when there is low soil availability, but the best source and rate to be used and whether this response is dependent on soil texture are still unknown. This study aimed to adjust boron fertilization for cotton as a function of the production environment and B source used. Two field experiments were conducted in the 2020/2021 season
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Row unit down force and coulter effects vary by environmental conditions in organic no‐till soybeans Agron. J. (IF 2.1) Pub Date : 2024-03-12 Ben Brockmueller, Jessica L. Drewry, Léa Vereecke, Brian Luck, Erin M. Silva, Andrew Smith
Concerns over tillage intensity and soil erosion in organic cropping systems have prompted the development of reduced tillage organic systems that use cover crops rather than soil disturbance as the primary weed control tool. However, planting into high residue cover crop mulches may inhibit crop establishment due to poor seed placement. Adaptation of agricultural equipment to high residue planting
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Spacing of subsurface poultry litter bands: Influence on maize performance and nitrogen use efficiency Agron. J. (IF 2.1) Pub Date : 2024-03-06 Jason R. Simmons, Edwin L. Ritchey, Karamat R. Sistani, Thomas R. Way, Mark S. Coyne, Christopher J. Matocha
Poultry litter (PL) is traditionally surface broadcast to no‐till maize (Zea mays L.). PL is nutrient‐dense, and surface‐applied PL nitrogen (N) is vulnerable to losses to the atmosphere and water systems. An application method was developed by USDA‐ARS scientists for shallow subsurface banding PL to reduce ammonia (NH3) volatilization and surface runoff. There is limited information on how this application
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Will artificial intelligence and machine learning change agriculture: A special issue Agron. J. (IF 2.1) Pub Date : 2024-03-06 David E. Clay, Skye Brugler, Bhavna Joshi
In agriculture, important unanswered questions about machine learning and artificial intelligence (ML/AI) include will ML/AI change how food is produced and will ML algorithms replace or partially replace farmers in the decision process. As ML/AI technologies become more accurate, they have the potential to improve profitability while reducing the impact of agriculture on the environment. However,
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Soybean test weight in relation to genotype, environment, and genotype × environment interaction in the Southern United States Agron. J. (IF 2.1) Pub Date : 2024-02-29 Jenny Koebernick, Anne M. Gillen, Robert Fett, Sejal Patel, Ben Fallen, Vince Pantalone, Grover Shannon, Zenglu Li, Andrew Scaboo, William Schapaugh, Rouf Mian, Quentin D. Read
Test weight (TW) is a unit of bulk density that is influenced by several factors, including both genetics and environment. A subset of the trials in the Uniform Soybean Tests—Southern States was used to correlate seed composition traits of oil and protein percentages, and seed weight (SW) with TW to investigate the interaction of these traits in multi‐environments for four different maturity group
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Effect of ultra‐early, early, and normal soybean planting dates and rye cover crop on soybean grain yield Agron. J. (IF 2.1) Pub Date : 2024-02-29 Seth Kannberg, Alexander J. Lindsey, Marília B. Chiavegato, Laura E. Lindsey
With changes to climate and crop insurance, earlier soybean [Glycine max (L.) Merr.] planting dates need to be investigated. Additionally, the use of a cover crop prior to soybean is promoted as a sustainable practice though little is known about cover crop and ultra‐early soybean planting (prior to April 15). The objective was to evaluate soybean planting date and cereal rye (Secale cereale L.) cover
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Assessing relationships of cover crop biomass and nitrogen content to multispectral imagery Agron. J. (IF 2.1) Pub Date : 2024-02-29 Jarrod O. Miller, Amy L. Shober, Jamie Taraila
Cover crops provide valuable roles in sustainable agriculture, provided they produce enough biomass. To accurately measure their services to field management, spatial estimates would be useful to producers. This study used multispectral drone imagery to produce maps of normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and a digital surface model (DSM) of cover
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Cotton cultivar response to potassium fertilizer under irrigated and dryland conditions Agron. J. (IF 2.1) Pub Date : 2024-02-28 Savana Davis, Praveen Gajula, Darrin Dodds, Jason Krutz, Jeff Gore, Jac Varco, Tyson Raper, Jagmandeep Dhillon
Cotton (Gossypium hirsutum L.) cultivars vary in their response to environmental factors. Recently, interest in cotton cultivars' response to varying potassium (K) fertilizer application rates and irrigation has increased. As such, the effect of cotton varieties (early and mid‐maturing), K fertilizer application rates, and irrigation on cotton growth, development, and yield were investigated in Starkville
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Response of seeding rate and cultivar maturity with planting dates in canola Agron. J. (IF 2.1) Pub Date : 2024-02-25 Eeusha Nafi, Jessica A. Torrion
Understanding whether increasing seeding rate in canola (Brassica napus) provides a yield‐compensatory mechanism with delayed planting due to weather or logistical issues is important. We aim to refine agronomic recommendations for canola production under short‐season growing conditions to establish an optimal planting date and identify any interaction of spring canola cultivar and seeding rate with
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Unmanned aerial vehicle imagery prediction of sorghum leaf area index under water stress, seeding density, and nitrogen fertilization conditions in the Sahel Agron. J. (IF 2.1) Pub Date : 2024-02-25 Joseph Sékou B. Dembele, Boubacar Gano, Modou Mbaye, Mohamed Doumbia, Léonce Lamine Dembele, Mamoutou Kouressy, Niaba Teme, Michel Vaksman, Diaga Diouf, Alain Audebert
Sahelian Africa must meet the challenge of providing enough food to meet its growing population. Therefore, novel breeding and intensive production methods are needed to mitigate this challenge. The objective of this study was to calibrate and validate sorghum varieties leaf area index (LAI) values estimated from Unmanned Aerial Vehicle (UAV) at different growing seasons in Senegal and Mali. To achieve
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Evaluation of dichlobenil for hair fescue (Festuca filiformis Pourr.) management in wild blueberry (Vaccinium angustifolium Ait.) Agron. J. (IF 2.1) Pub Date : 2024-02-23 Craig B. MacEachern, Travis J. Esau, Scott N. White, Qamar U. Zaman, Aitazaz A. Farooque
Hair fescue is an economically destructive, tuft-forming weed common in wild blueberry fields. The current management of hair fescue is almost completely reliant on pronamide (3,5-dichloro-N-[2-methylbut-3-yn-2-yl]benzamide) herbicide with few other products demonstrating effectiveness. Dichlobenil (2,6-dichlorobenzonitrile) is a group 29 herbicide registered for use in wild blueberry; however, it
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Nitrogen application and cultivar effects on industrial hemp yield dynamics Agron. J. (IF 2.1) Pub Date : 2024-02-19 Navdeep Kaur, Winnifred Griffin, Amanpreet Sandhu, Simranpreet Sidhu, Zack Brym, Lakesh Sharma
Renewed interest in hemp (Cannabis sativa L., <0.3% delta-9-tetrahydrocannabinol) production has motivated investigations into crop management and fertilizer application. Due to fertilizer regulations, soil characteristics, and unique climatic conditions in Florida, researching nutrient management for region-specific hemp cultivation is essential. A study conducted in central Florida during 2021 and
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Detection and mapping of Amaranthus spinosus L. in bermudagrass pastures using drone imagery and deep learning for a site-specific weed management Agron. J. (IF 2.1) Pub Date : 2024-02-13 Igor L. Bretas, Jose C. B. Dubeux, Chang Zhao, Luana M. D. Queiroz, Scott Flynn, Sam Ingram, Kenneth T. Oduor, Priscila J. R. Cruz, Martin Ruiz-Moreno, Daniele R. S. Loures, Domingos S. M. Valente, Fernanda H. M. Chizzotti
Weed encroachment negatively affects pasture productivity by reducing herbage allowance, stocking rates, and livestock performance. Amaranthus spinosus L. is a weed species widely found in pastures worldwide and is considered challenging for ranchers due to its great potential for invasion, making it difficult to control. The high costs of chemical application and the global concern about environmental
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Adaptation of oat genotypes in organic and conventionally managed fields in the northwestern Himalayas Agron. J. (IF 2.1) Pub Date : 2024-02-14 Sanjay Kumar Sanadya, Vinod Kumar Sood, Gaurav Sharma, Muluken Enyew, Gopal Katna
Developing stable and high-yielding crop varieties is crucial for sustainable agriculture. The present study investigated genotype × environment interactions (GEIs) in 96 oat (Avena sativa L.) genotypes across five environments (year–production system combinations) using an alpha lattice design. Additive main effect and multiplicative interaction (AMMI) analysis revealed significant genotype, environment
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Managing nitrogen to promote quality and profitability of North Dakota two-row malting barley Agron. J. (IF 2.1) Pub Date : 2024-02-14 Brady Goettl, Thomas DeSutter, Honggang Bu, Abbey Wick, David Franzen
As the demand and cultivation of two-row malting barley (Hordeum vulgare L.) increases in the Northern Great Plains, updated nitrogen (N) recommendations are increasingly necessary. Not only does N play a role in grain yield, but it also impacts grain malting characteristics, including protein and kernel plump. To determine the impacts N rate and availability have on two-row malting barley, two experimental
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Peanut (Arachis hypogaea L.) response to low-rate applications of selected herbicides at vegetative and reproductive growth stages Agron. J. (IF 2.1) Pub Date : 2024-02-12 Navjot Singh, Olumide S. Daramola, Joseph E. Iboyi, Pratap Devkota
Off-target drift of herbicides can seriously reduce peanut (Arachis hypogea L.) growth and yield and is of great concern to growers who will need to manage sensitive crops near new herbicide-tolerant crops. Field experiments were conducted in 2021 and 2022 with 25% labeled rates of dicamba, glufosinate, glyphosate, lactofen, and paraquat to simulate drift on peanut. The objective was to evaluate the
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Economics of strip cropping with autonomous machines Agron. J. (IF 2.1) Pub Date : 2024-02-09 A. K. M. Abdullah Al-Amin, James Lowenberg‑DeBoer, Bruce J. Erickson, John T. Evans, Michael R. Langemeier, Kit Franklin, Karl Behrendt
Autonomous machines have the potential to maintain food production and agroecological farming resilience. However, autonomous complex mixed cropping is proving to be an engineering challenge because of differences in plant height and growth pattern. Strip cropping is technically the simplest mixed cropping system, but widespread use is constrained by higher labor requirements in conventional mechanized
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Erratum to: Forage harvest management impacts “Kernza” intermediate wheatgrass productivity across North America Agron. J. (IF 2.1) Pub Date : 2024-02-09
Steve Culman, Priscila Pinto, Jennie Pugliese, Timothy Crews, Lee DeHaan, Jake Jungers, Jamie Larsen, Matthew Ryan, Meagan Schipanski, Mark Sulc, Sandra Wayman, Mary Wiedenhoeft, David Stoltenberg, Valentin Picasso This is an erratum for the article: Culman, S., Pinto, P., Pugliese, J., Crews, T., DeHaan, L., Jungers, J., Larsen, J., Ryan, M., Schipanski, M., Sulc, M., Wayman, S., Wiedenhoeft, M.,
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Hydrogen peroxide priming promotes salinity tolerance in plants—A comprehensive review Agron. J. (IF 2.1) Pub Date : 2024-02-03 Kiarash Jamshidi Goharrizi, Soraya Karami, Sedighe Ghanaei
Salinity stress is a growing concern for agriculture, as soil salinization is increasing worldwide and seriously affects global agricultural production and food security. How to minimize the adverse effects of salinity stress and meet the food needs of the growing human population becomes an urgent problem. Conventional techniques in agriculture and recently modern plant science have limitations; therefore
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Sustainable sweetpotato production in the United States: Current status, challenges, and opportunities Agron. J. (IF 2.1) Pub Date : 2024-02-01 Justin George, Gadi V. P. Reddy, Phillip A. Wadl, William Rutter, Julianna Culbreath, Pierre W. Lau, Tahir Rashid, Matthew C. Allan, Suzanne D. Johaningsmeier, Amanda M. Nelson, Ming Li Wang, Augustine Gubba, Kai-Shu Ling, Yan Meng, Daniel J. Collins, Sathish K. Ponniah, Prasanna H. Gowda
Sweetpotato (Ipomoea batatas L.) is an important staple crop cultivated in over 100 countries, and the storage roots and vines provide food for humans and livestock. Sweetpotato consumption and demand for its value-added products have increased significantly in the last two decades and have led to new cultivar development, expansion in acreage, and increased demand in the United States and its export
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Synergism of sulfur availability and agronomic nitrogen use efficiency Agron. J. (IF 2.1) Pub Date : 2023-12-30 Sampson Agyin-Birikorang, Cissé Boubakry, Davie M. Kadyampakeni, Raphael Adu-Gyamfi, Rachel A. Chambers, Ignatius Tindjina, Abdul-Rahman A. Fuseni
Nutrient management strategies that exploit nutrient elements’ synergistic interaction to enhance nitrogen use efficiency (NUE) are needed for economic and environmental reasons. A field study was carried out during the 2020–2022 growing seasons at six locations in three countries: two each in the United States, Ghana, and Mali using three sulfur (S) sources with different bioavailability levels (micronized
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Impact of manure injection on spatial variability in soil nitrate, carbon, and small grain growth Agron. J. (IF 2.1) Pub Date : 2023-12-26 Derek R. Hilfiker, Rory O. Maguire, Gonzalo Ferreira, Wade E. Thomason, Ryan D. Stewart
Manure injection alters the spatial distribution of manure by concentrating it in a subsurface band which can lead to differential soil nutrient distribution and growth in small grains. This study assessed the effects of fall manure applications on soil NO3-N, active carbon, and small grain growth compared to broadcasting and a no manure control. Soil samples were taken to represent whole plot soil
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Association mapping for image-based root traits in tropical maize under water stress in semi-arid regions Agron. J. (IF 2.1) Pub Date : 2023-12-19 Maria Valnice de Souza Silveira, Fernanda Carla Ferreira de Pontes, Ingrid Pinheiro Machado, Antônio Lucas Aguiar Lobo, Roberto Fritsche-Neto, Júlio César DoVale
The root system is an organ that indicates signs of stress when a plant is subjected to water deficit conditions. However, its assessment is challenging. An alternative has been to obtain variables through image processing. In this way, it allows the rapid evaluation of genetic diversity panels. It contributes to identifying genomic regions or genes associated with the expression of the root system
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Secondary and micronutrient application effects on corn fertilized for different yield goals under highly weathered soil conditions Agron. J. (IF 2.1) Pub Date : 2023-12-20 Solomon Amissah, Godfred Ankomah, Robert D. Lee, Md Ariful I. Sohag, Glendon H. Harris, Miguel Cabrera, Dorcas H. Franklin, Juan C. Diaz-Perez, Henry Y. Sintim
Highly weathered soils have low native fertility; thus, optimum nutrient management is critical, especially for a high-input crop such as corn (Zea mays). Field studies were established in Plains and Tifton, GA, to assess secondary nutrient (SN; Mg, Ca, and S) and micronutrient (MN; B, Zn, Mn, Fe, Cu, and Mo) application effects on corn fertilized with primary nutrients (PN; N, P, and K) to achieve
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From a point to a range of optimum estimates for maize plant density and nitrogen rate recommendations Agron. J. (IF 2.1) Pub Date : 2023-12-19 Kyle A. King, Sotirios V. Archontoulis, Mitchell E. Baum, Jode W. Edwards
The interaction between nitrogen (N) rate, plant density, and hybrid on net return to seed and fertilizer cost remains unknown but important to be addressed given the multi-input decision process corn growers make every year. We collected grain yield from a factorial experiment with five N rates (0–291 kg N ha−1), five plant densities (3.7–11.4 plants m−2), and four hybrids (old vs. new) over 2 years
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Overseeding oat into limpograss: The effect of trees on animal performance and profitability Agron. J. (IF 2.1) Pub Date : 2023-12-19 Laíse da Silveira Pontes, Debora Rodrigues, Giliardi Stafin, Gabriel Eiji Higashi, Luiza de Souza Carneiro, Pablo Ricardo Nitsche, Tiago Santos Telles
The overseeding of cool-season species into dormant warm-season species and tree inclusion in open pastures are potential options for improving forage quality and extending the grazing period, thus contributing to sustainable livelihoods. However, warm-season species respond differently to cool-season overseeding. To our knowledge, there are no reports concerning the use of the overseeding method in
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Strategies to alleviate pH stratification and subsurface acidity in a no-tillage system Agron. J. (IF 2.1) Pub Date : 2023-12-19 J. P. Pellissier, P. A. Swanepoel, A. G. Hardie, J. Labuschagne
Some no-tillage systems necessitate amelioration of subsurface acidity. A 2-year field trial was conducted on a no-tillage sandy loam Cambisol, with a pH(KCl) of 4.20 in the 10- to 30-cm depth. The aim was to evaluate one-time tillage, calcitic lime forms, and lime plus gypsum combinations on soil chemical parameters, and wheat (Triticum aestivum L.) and canola (Brassica napus) production. Incorporation
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Research on potato (Solanum tuberosum L.) nitrogen nutrition diagnosis based on hyperspectral data Agron. J. (IF 2.1) Pub Date : 2023-12-19 Zijun Tang, Youzhen Xiang, Wei Zhang, Xin Wang, Fucang Zhang, Junying Chen
Reducing the overapplication of nitrogen fertilizers to potatoes (Solanum tuberosum L.) can reduce production costs and their impact on the environment. One approach to produce these impacts is to reduce overapplications of fertilizers by using the nitrogen nutrition index (NNI = plant nitrogen concentration/critical nitrogen concentration) as a basis for in-season nitrogen recommendations. The objective
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Influence of planting date, maturity group, and harvest timing on soybean yield and seed quality Agron. J. (IF 2.1) Pub Date : 2023-12-19 Priscila Campos, Donnie Miller, Josh Copes, Melanie Netterville, Sebe Brown, Trey Price, David Moseley, Thanos Genetimis, Peters Egbedi, Rasel Parvej
As in other soybean-producing regions in the United States, planting date and maturity group (MG) are two of the most important factors, along with variety selection and timely harvest, that can set the stage to optimize soybean yield potential in Louisiana. Limited data are available on the effect of these factors along with harvest timing on soybean seed quality. Field studies evaluated the influence
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Quantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique Agron. J. (IF 2.1) Pub Date : 2023-12-19 Yun-Gu Kang, Jun-Yeong Lee, Jun-Ho Kim, Taek-Keun Oh
As interest in sustainable agricultural land management continues to grow, there is a need for advanced techniques that enable easy and rapid quantification of soil characteristics. Soil organic matter (SOM) is a critical factor in determining soil health. Unfortunately, contemporary techniques for SOM content analysis are laborious, time consuming, and resource intensive. In response to this challenge
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Agroeconomic differences among alternative cotton row spacings and row patterns Agron. J. (IF 2.1) Pub Date : 2023-12-18 Steven Hall, Darrin Dodds, Brian Pieralisi, Tyson B. Raper, Tyler Sandlin, Whitney D. Crow, Angus Catchot, Trent Irby, L. J. Krutz, G. D. Spencer, B. E. Mills
Crop growth and development is affected by intraspecies competition. This study was conducted to determine whether cotton productivity and profitability could be manipulated through planting geometry. The effects of row spacing, planting pattern, and variety on cotton fruit distribution, yield, and net returns were investigated near Bella Mina, AL, on a Decatur silt loam (fine, kaolinitic, thermic
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Vertical tillage effects on crop production and pest management in Pennsylvania Agron. J. (IF 2.1) Pub Date : 2023-12-18 Andrew M. Lefever, John M. Wallace, Charles M. White, Sjoerd W. Duiker, Paul D. Esker, John Tooker
Within the last four decades, widespread transition to no-till corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production in Pennsylvania has improved soil conservation and soil quality but can result in residue and pest management challenges. To effectively manage residue in no-till cropping systems, some growers have adopted vertical tillage, a residue management practice characterized by
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The general ratooning ability of rice yield-related traits: A meta-analysis Agron. J. (IF 2.1) Pub Date : 2023-12-15 Shutaro Shiraki, Kywa E, Thur A, Lae LM, Thin MC, Kyaw Myaing, Aung TK, Nwe Ni, May TO, Loon PP
Numerous studies have attempted to pinpoint certain traits of rice varieties linked with great ratooning ability that may be used in cultural practice. However, both genetic and environmental variables affect rice's capacity for ratooning. We are able to measure the innovative ratooning ability that affects the decline in ratoon yield using the agronomic features of the main crop and ratoon rice in
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Persistence and disadoption of sustainable agricultural practices in the Mississippi Delta region Agron. J. (IF 2.1) Pub Date : 2023-12-12 Santosh Pathak, Hua Wang, Dat Q. Tran, Naveen C. Adusumilli
The working lands programs in the United States are specifically tailored to support farmers in initiating or enhancing conservation practices. The expectation is that farmers receiving financial assistance will continue implementing these practices even after their initial contracts end, thereby increasing the programs’ cost-effectiveness and promoting natural resources conservation. However, little
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Should we consider integrated crop–livestock systems for ecosystem services, carbon sequestration, and agricultural resilience to climate change? Agron. J. (IF 2.1) Pub Date : 2023-12-08 Alan J. Franzluebbers, John R. Hendrickson
Contemporary agricultural systems can be generalized as highly specialized operations that are fueled by mechanization; supplied with external nutrients to maximize production; crops protected by petrochemicals to fight against weed, disease, and insect pressures; and livestock protected by therapeutics to ward off virus and bacterial infections when managed in confinement. Such specialized systems
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Soil carbon and nitrogen responses to forage cropping systems following irrigation retirement Agron. J. (IF 2.1) Pub Date : 2023-12-08 Wooiklee S. Paye, Leonard M. Lauriault, Pramod Acharya, Rajan Ghimire
Limited annual precipitation and increasing scarcity of irrigation water are forcing farmers in arid and semi-arid regions to convert irrigated fields into dryland farming, yet their impacts on soil carbon (C) and nitrogen (N) fractions are not fully understood. This study evaluated changes in soil C and N fractions and forage production under four cropping systems after irrigation retirement in a
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Phenology, gas exchange, biomass accumulation, and irrigated rice yield under alternative irrigation managements Agron. J. (IF 2.1) Pub Date : 2023-12-07 Marcos Paulo dos Santos, Alexandre Bryan Heinemann, Luís Fernando Stone, Mellissa Ananias Soler da Silva, Anna Cristina Lanna, Alberto Baêta dos Santos
In Brazil, rice production is predominantly concentrated in the South region, employing a continuous flood irrigation system throughout the crop cycle. However, this irrigation management strategy in the tropical region contributes to low water-use efficiency owing to adverse climatic conditions. Furthermore, with climate change projections indicating reduced water availability, the study aims to investigate
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Crop rotation for management of plant-parasitic nematodes in forage corn production Agron. J. (IF 2.1) Pub Date : 2023-12-06 Mussie Wolday Tsegay, Marcelo O. Wallau, Chang Liu, José C. Dubeux, Zane Joseph Grabau
Corn (Zea mays L.) is an important silage source for dairy cattle production in the southeastern United States. Silage corn is often grown continuously, which frequently results in severe pressure from plant-parasitic nematodes such as sting nematode (Belonolaimus longicaudatus). Crop rotation is one of the few nematode management options available in forage production. The research objective was to