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2. Evaluation of aggregate stability methods for soil health

Author

Rieke, Elizabeth L., Bagnall, Dianna K., Morgan, Cristine L.S., Flynn, Kade D., Howe, Julie A., Greub, Kelsey L.H., Mac Bean, G., Cappellazzi, Shannon B., Cope, Michael, Liptzin, Daniel, Norris, Charlotte E., Tracy, Paul W., Aberle, Ezra, Ashworth, Amanda, Bañuelos Tavarez, Oscar, Bary, Andy I., Baumhardt, R.L., Borbón Gracia, Alberto, Brainard, Daniel C., Brennan, Jameson R., Briones Reyes, Dolores, Bruhjell, Darren, Carlyle, Cameron N., Crawford, James J.W., Creech, Cody F., Culman, Steve W., Deen, Bill, Dell, Curtis J., Derner, Justin D., Ducey, Thomas F., Duiker, Sjoerd W., Dyck, Miles F., Ellert, Benjamin H., Entz, Martin H., Espinosa Solorio, Avelino, Fonte, Steven J., Fonteyne, Simon, Fortuna, Ann-Marie, Foster, Jamie L., Fultz, Lisa M., Gamble, Audrey V., Geddes, Charles M., Griffin-LaHue, Deirdre, Grove, John H., Hamilton, Stephen K., Hao, Xiying, Hayden, Zachary D., Honsdorf, Nora, Ippolito, James A., Johnson, Gregg A., Kautz, Mark A., Kitchen, Newell R., Kumar, Sandeep, Kurtz, Kirsten S.M., Larney, Francis J., Lewis, Katie L., Liebman, Matt, Lopez Ramirez, Antonio, Machado, Stephen, Maharjan, Bijesh, Martinez Gamiño, Miguel Angel, May, William E., McClaran, Mitchel P., McDaniel, Marshall D., Millar, Neville, Mitchell, Jeffrey P., Moore, Amber D., Moore, Philip A., Jr., Mora Gutiérrez, Manuel, Nelson, Kelly A., Omondi, Emmanuel C., Osborne, Shannon L., Osorio Alcalá, Leodegario, Owens, Phillip, Pena-Yewtukhiw, Eugenia M., Poffenbarger, Hanna J., Ponce Lira, Brenda, Reeve, Jennifer R., Reinbott, Timothy M., Reiter, Mark S., Ritchey, Edwin L., Roozeboom, Kraig L., Rui, Yichao, Sadeghpour, Amir, Sainju, Upendra M., Sanford, Gregg R., Schillinger, William F., Schindelbeck, Robert R., Schipanski, Meagan E., Schlegel, Alan J., Scow, Kate M., Sherrod, Lucretia A., Shober, Amy L, Sidhu, Sudeep S., Solís Moya, Ernesto, St. Luce, Mervin, Strock, Jeffrey S., Suyker, Andrew E., Sykes, Virginia R., Tao, Haiying, Trujillo Campos, Alberto, Van Eerd, Laura L., van Es, Harold M., Verhulst, Nele, Vyn, Tony J., Wang, Yutao, Watts, Dexter B., Wright, David L., Zhang, Tiequan, and Honeycutt, C. Wayne

Published
2022
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3. An evaluation of carbon indicators of soil health in long-term agricultural experiments

Author

Liptzin, Daniel, Norris, Charlotte E., Cappellazzi, Shannon B., Bean, G. Mac, Cope, Michael, Greub, Kelsey L.H., Rieke, Elizabeth L., Tracy, Paul W., Aberle, Ezra, Ashworth, Amanda, Bañuelos Tavarez, Oscar, Bary, Andy I., Baumhardt, R.L., Borbón Gracia, Alberto, Brainard, Daniel C., Brennan, Jameson R., Briones Reyes, Dolores, Bruhjell, Darren, Carlyle, Cameron N., Crawford, James J.W., Creech, Cody F., Culman, Steve W., Deen, Bill, Dell, Curtis J., Derner, Justin D., Ducey, Thomas F., Duiker, Sjoerd W., Dyck, Miles F., Ellert, Benjamin H., Entz, Martin H., Espinosa Solorio, Avelino, Fonte, Steven J., Fonteyne, Simon, Fortuna, Ann-Marie, Foster, Jamie L., Fultz, Lisa M., Gamble, Audrey V., Geddes, Charles M., Griffin-LaHue, Deirdre, Grove, John H., Hamilton, Stephen K., Hao, Xiying, Hayden, Zachary D., Honsdorf, Nora, Howe, Julie A., Ippolito, James A., Johnson, Gregg A., Kautz, Mark A., Kitchen, Newell R., Kumar, Sandeep, Kurtz, Kirsten S.M., Larney, Francis J., Lewis, Katie L., Liebman, Matt, Lopez Ramirez, Antonio, Machado, Stephen, Maharjan, Bijesh, Martinez Gamiño, Miguel Angel, May, William E., McClaran, Mitchel P., McDaniel, Marshall D., Millar, Neville, Mitchell, Jeffrey P., Moore, Amber D., Moore, Philip A., Jr., Mora Gutiérrez, Manuel, Nelson, Kelly A., Omondi, Emmanuel C., Osborne, Shannon L., Osorio Alcalá, Leodegario, Owens, Philip, Pena-Yewtukhiw, Eugenia M., Poffenbarger, Hanna J., Ponce Lira, Brenda, Reeve, Jennifer R., Reinbott, Timothy M., Reiter, Mark S., Ritchey, Edwin L., Roozeboom, Kraig L., Rui, Yichao, Sadeghpour, Amir, Sainju, Upendra M., Sanford, Gregg R., Schillinger, William F., Schindelbeck, Robert R., Schipanski, Meagan E., Schlegel, Alan J., Scow, Kate M., Sherrod, Lucretia A., Shober, Amy L., Sidhu, Sudeep S., Solís Moya, Ernesto, St Luce, Mervin, Strock, Jeffrey S., Suyker, Andrew E., Sykes, Virginia R., Tao, Haiying, Trujillo Campos, Alberto, Van Eerd, Laura L., van Es, Harold, Verhulst, Nele, Vyn, Tony J., Wang, Yutao, Watts, Dexter B., Wright, David L., Zhang, Tiequan, Morgan, Cristine L.S., and Honeycutt, C. Wayne

Published
2022
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4. Linking soil microbial community structure to potential carbon mineralization: A continental scale assessment of reduced tillage

Author

Rieke, Elizabeth L., Cappellazzi, Shannon B., Cope, Michael, Liptzin, Daniel, Mac Bean, G., Greub, Kelsey L.H., Norris, Charlotte E., Tracy, Paul W., Aberle, Ezra, Ashworth, Amanda, Bañuelos Tavarez, Oscar, Bary, Andy I., Baumhardt, R.L., Borbón Gracia, Alberto, Brainard, Daniel C., Brennan, Jameson R., Briones Reyes, Dolores, Bruhjell, Darren, Carlyle, Cameron N., Crawford, James J.W., Creech, Cody F., Culman, Steve W., Deen, Bill, Dell, Curtis J., Derner, Justin D., Ducey, Thomas F., Duiker, Sjoerd W., Dyck, Miles F., Ellert, Benjamin H., Espinosa Solorio, Avelino, Fonte, Steven J., Fonteyne, Simon, Fortuna, Ann-Marie, Foster, Jamie L., Fultz, Lisa M., Gamble, Audrey V., Geddes, Charles M., Griffin-LaHue, Deirdre, Grove, John H., Hamilton, Stephen K., Hao, Xiying, Hayden, Zachary D., Honsdorf, Nora, Howe, Julie A., Ippolito, James A., Johnson, Gregg A., Kautz, Mark A., Kitchen, Newell R., Kumar, Sandeep, Kurtz, Kirsten S.M., Larney, Francis J., Lewis, Katie L., Liebman, Matt, Lopez Ramirez, Antonio, Machado, Stephen, Maharjan, Bijesh, Martinez Gamiño, Miguel Angel, May, William E., McClaran, Mitchel P., McDaniel, Marshall D., Millar, Neville, Mitchell, Jeffrey P., Moore, Amber D., Moore, Philip A., Jr., Mora Gutiérrez, Manuel, Nelson, Kelly A., Omondi, Emmanuel C., Osborne, Shannon L., Osorio Alcalá, Leodegario, Owens, Philip, Pena-Yewtukhiw, Eugenia M., Poffenbarger, Hanna J., Ponce Lira, Brenda, Reeve, Jennifer R., Reinbott, Timothy M., Reiter, Mark S., Ritchey, Edwin L., Roozeboom, Kraig L., Rui, Yichao, Sadeghpour, Amir, Sainju, Upendra M., Sanford, Gregg R., Schillinger, William F., Schindelbeck, Robert R., Schipanski, Meagan E., Schlegel, Alan J., Scow, Kate M., Sherrod, Lucretia A., Shober, Amy L., Sidhu, Sudeep S., Solís Moya, Ernesto, St Luce, Mervin, Strock, Jeffrey S., Suyker, Andrew E., Sykes, Virginia R., Tao, Haiying, Trujillo Campos, Alberto, Van Eerd, Laura L., Verhulst, Nele, Vyn, Tony J., Wang, Yutao, Watts, Dexter B., William, Bryan B., Wright, David L., Zhang, Tiequan, Morgan, Cristine L.S., and Honeycutt, C. Wayne

Published
2022
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6. ASSESSMENT OF SOIL AGGREGATE STABILITY METHODOLOGIES IN CALCAREOUS SILT LOAMS.

Author

Yost, Jenifer L., Kruger, Kevin, Bjorneberg, David L., Dungan, Robert S., Leytem, April B., Moore, Amber D., and Schott, Linda R.

Subjects
SOIL management, SOIL structure, CALCAREOUS soils, IRRIGATION water, AGRICULTURE, TILLAGE, SOIL erosion
Abstract

Idaho's Magic Valley is a highly productive agricultural region in the United States due to irrigation. The soils in this region are prone to crusting, have low organic matter, and are high in calcium carbonates, making them susceptible to erosion and water runoff. Soils need to be better managed to enhance aggregate stability to enable increased infiltration of irrigation water and decreased soil erosion in nearby waterways. However, to make management recommendations, the identification of appropriate measurements of aggregate stability needs to be identified, and few relevant studies exist. Thus, the overall goal of this project was to identify appropriate methods for the assessment of soil aggregate stability in the study region. The study sites were located in Southern Idaho and set up using common cropping rotations and agricultural management practices for the region using a variety of nutrient sources, tillage types, and cover cropping. Three methods were used to measure soil aggregate stability: wet sieving, simulated rainfall using a Cornell Sprinkle Infiltrometer (sprinkler height: 30, 90, and 150 cm), and the SLAKES mobile application. No differences in soil aggregate stability were found when the wet sieving or SLAKES methods were used at the three study sites, either due to the method or a general lack of differences between treatments. When using the Cornell Sprinkle Infiltrometer, no treatment differences were found at LT-Manure or GRACEnet; however, differences were observed between treatments at the Cover Crop study site at sprinkler heights of 30 and 90 cm. At a sprinkler height of 30 cm, the average mean weight diameter was the highest when winter forage crops (WFC) and solid dairy manure (SDM) were applied (3.73 mm) and the lowest in the control (3.12 mm). At a sprinkler height of 90 cm, the average mean weight diameter was the highest when WFC and SDM were applied (3.54 mm) and the lowest in the WFC Only treatment (2.46 mm). These results not only have implications for which methods are best for assessing progress but also for what management practices can be utilized to decrease soil erosion from irrigated cropland. This study highlighted that under these soils and management practices, simply increasing soil carbon does not increase aggregate stability, especially when root crops are included in the crop rotation with intensive tillage. In arid and semi-arid regions, the Cornell Sprinkle Infiltrometer may be a more sensitive method of measuring soil aggregate stability compared to traditional wet sieving. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Predicting nitrogen mineralization from dairy manure and broadleaf residue in a semiarid cropping system.

Author

Leytem, April B., Moore, Amber D., Rogers, Christopher W., and Dungan, Robert S.

Subjects
*CROP residues, *CROPPING systems, *MINERALIZATION, *SYNTHETIC fertilizers, *GRISELINIA littoralis, *IRRIGATION farming, *MANURES
Abstract

Approximately 37% of US milk production occurs in semiarid regions, providing an opportunity to recycle manure nutrients through a variety of cropping systems. Accurate prediction of nitrogen (N) mineralization is critical to determine manure application suitability in intensive irrigated agriculture as many crops in the region have quality parameters that are sensitive to N. Research was conducted in southcentral Idaho to evaluate N mineralization via a buried bag methodology to develop a predictive N‐mineralization model. The study was arranged in a randomized complete block design with manure application rates of 18, 36, and 52 Mg·ha−1 (dry weight basis) both annually and biennially with synthetic fertilizer and untreated check treatments. The crop rotation included small‐grain and broadleaf crops. In the final year of the study, preplant soil organic carbon, total nitrogen, and NO3–N concentrations were positively linearly correlated with manure application rate. Nearly five times as much N was mineralized annually in the 0‐ to 30‐cm depth as compared to the 30‐ to 60‐cm depth. Increased rates of N mineralization for each kilogram of added N occurred in years when residue from broadleaf crops (slope = 0.17) was applied as compared to years with manure only application (slope = 0.07). Stepwise modeling determined that the most predictive model for seasonal N mineralization (R2 = 0.79) included manure N, residue N, soil organic matter, and electrical conductivity. These results allow preplant N mineralization estimation and will prove critical for managing manure in semiarid regions for agronomic, economic, and environmentally sound crop production. Core Ideas: Tools are needed to estimate nitrogen (N) mineralization from applications of dairy manure in semiarid irrigated soils.N mineralization was affected by manure application rate, timing, and broadleaf residue N.Average manure N mineralization was 27% and 18% of N applied in the first and second years, respectively, following application.The incorporation of broadleaf residue with manure increased N mineralized to 41% of N applied.The best predictors of N mineralization were soil organic matter, soil electrical conductivity, manure N, and broadleaf N residue. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Soil health, microbial communities, and annual ryegrass yield under contrasting management practices.

Author

Mateu, Martina Gonzalez, Domnariu, Horia, Moore, Amber D., and Trippe, Kristin M.

Abstract

Biological indicators are often used to evaluate the effect of management practices on soil health. However, determining which indicators can detect changes in soil health after implementation of conservation practices and how these indicators relate to plant growth in grass seed production systems remains unclear. The goal of this study was to explore the relationships between management practice history, soil health metrics, plant growth, and soil microbial communities in annual ryegrass grown under greenhouse conditions. Soils were collected from 12 annual ryegrass [Lolium multiflorum (L.) Husnot] fields managed under conventional (till/bale) or conservation (no‐till/full straw) management practices, with three silt loams and three silty clay loams collected for each practice. Annual ryegrass was grown for 5 months on each of the 12 soils in a greenhouse. Soils with a history of conservation management improved the majority of the carbon cycling‐related metrics for the silt loam soils. Management practices had no effect on seed yield, however, conservation management significantly improved aboveground biomass in silty clay loam soils. Contrasting management practices resulted in distinct microbial communities, making them sensitive indicators of changes in soil conditions. Soil health and plant metrics were positively associated with the microbial communities in soils under conservation management. Total C and organic matter were positively correlated to plant parameters in silt loams, while few indicators were correlated to plant metrics in silty clay loams. These results highlight the complex interplay between microbial communities, soil health, and plant growth and the importance of considering inherent soil properties like texture. Core Ideas: The relationship between management practices and soil health and yield outcomes were influenced by soil texture.Biological soil health indicators and yield metrics were positively correlated in silt loam soils.Microbial communities were a sensitive indicator of changes in management practices.Microbial communities in no‐till were positively correlated to yield and soil health metrics. [ABSTRACT FROM AUTHOR]

Published
2024
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11. An evaluation of nitrogen indicators for soil health in long‐term agricultural experiments

Author

Liptzin, Daniel, primary, Rieke, Elizabeth L., additional, Cappellazzi, Shannon B., additional, Bean, G. Mac, additional, Cope, Michael, additional, Greub, Kelsey L. H., additional, Norris, Charlotte E., additional, Tracy, Paul W., additional, Aberle, Ezra, additional, Ashworth, Amanda, additional, Tavarez, Oscar Bañuelos, additional, Bary, Andy I., additional, Baumhardt, R. L., additional, Gracia, Alberto Borbón, additional, Brainard, Daniel C., additional, Brennan, Jameson R., additional, Reyes, Dolores Briones, additional, Bruhjell, Darren, additional, Carlyle, Cameron N., additional, Crawford, James J. W., additional, Creech, Cody F., additional, Culman, Steve W., additional, Deen, Bill, additional, Dell, Curtis J., additional, Derner, Justin D., additional, Ducey, Thomas F., additional, Duiker, Sjoerd W., additional, Dungan, Robert S., additional, Dyck, Miles F., additional, Ellert, Benjamin H., additional, Entz, Martin H., additional, Solorio, Avelino Espinosa, additional, Fonte, Steven J., additional, Fonteyne, Simon, additional, Fortuna, Ann‐Marie, additional, Foster, Jamie L., additional, Fultz, Lisa M., additional, Gamble, Audrey V., additional, Geddes, Charles M., additional, Griffin‐LaHue, Deirdre, additional, Grove, John H., additional, Hamilton, Stephen K., additional, Hao, Xiying, additional, Hayden, Zachary D., additional, Honsdorf, Nora, additional, Howe, Julie A., additional, Ippolito, James A., additional, Johnson, Gregg A., additional, Kautz, Mark A., additional, Kitchen, Newell R., additional, Kumar, Sandeep, additional, Kurtz, Kirsten S. M., additional, Larney, Francis J., additional, Lewis, Katie L., additional, Liebman, Matt, additional, Ramirez, Antonio Lopez, additional, Machado, Stephen, additional, Maharjan, Bijesh, additional, Gamiño, Miguel Angel Martinez, additional, May, William E., additional, McClaran, Mitchel P., additional, McDaniel, Marshall D., additional, Millar, Neville, additional, Mitchell, Jeffrey P., additional, Moore, Amber D., additional, Moore, Philip A., additional, Gutiérrez, Manuel Mora, additional, Nelson, Kelly A., additional, Omondi, Emmanuel C., additional, Osborne, Shannon L., additional, Alcalá, Leodegario Osorio, additional, Owens, Phillip, additional, Pena‐Yewtukhiw, Eugenia M., additional, Poffenbarger, Hanna J., additional, Lira, Brenda Ponce, additional, Reeve, Jennifer R., additional, Reinbott, Timothy M., additional, Reiter, Mark S., additional, Ritchey, Edwin L., additional, Roozeboom, Kraig L., additional, Rui, Yichao, additional, Sadeghpour, Amir, additional, Sainju, Upendra M., additional, Sanford, Gregg R., additional, Schillinger, William F., additional, Schindelbeck, Robert R., additional, Schipanski, Meagan E., additional, Schlegel, Alan J., additional, Scow, Kate M., additional, Sherrod, Lucretia A., additional, Shober, Amy L, additional, Sidhu, Sudeep S., additional, Moya, Ernesto Solís, additional, Luce, Mervin St., additional, Strock, Jeffrey S., additional, Suyker, Andrew E., additional, Sykes, Virginia R., additional, Tao, Haiying, additional, Campos, Alberto Trujillo, additional, Van Eerd, Laura L., additional, van Es, Harold M, additional, Verhulst, Nele, additional, Vyn, Tony J., additional, Wang, Yutao, additional, Watts, Dexter B., additional, Wright, David L., additional, Zhang, Tiequan, additional, Morgan, Cristine L. S., additional, and Honeycutt, C. Wayne, additional

Published
2023
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13. Selecting soil hydraulic properties as indicators of soil health: Measurement response to management and site characteristics

Author

Bagnall, Dianna K., primary, Morgan, Cristine L. S., additional, Bean, G. Mac, additional, Liptzin, Daniel, additional, Cappellazzi, Shannon B., additional, Cope, Michael, additional, Greub, Kelsey L. H., additional, Rieke, Elizabeth L., additional, Norris, Charlotte E., additional, Tracy, Paul W., additional, Aberle, Ezra, additional, Ashworth, Amanda, additional, Tavarez, Oscar Bañuelos, additional, Bary, Andy I., additional, Baumhardt, R. L., additional, Gracia, Alberto Borbón, additional, Brainard, Daniel C., additional, Brennan, Jameson R., additional, Reyes, Dolores Briones, additional, Bruhjell, Darren, additional, Carlyle, Cameron N., additional, Crawford, James J. W., additional, Creech, Cody F., additional, Culman, Steve W., additional, Deen, Bill, additional, Dell, Curtis J., additional, Derner, Justin D., additional, Ducey, Thomas F., additional, Duiker, Sjoerd W., additional, Dyck, Miles F., additional, Ellert, Benjamin H., additional, Entz, Martin H., additional, Solorio, Avelino Espinosa, additional, Fonte, Steven J., additional, Fonteyne, Simon, additional, Fortuna, Ann‐Marie, additional, Foster, Jamie L., additional, Fultz, Lisa M., additional, Gamble, Audrey V., additional, Geddes, Charles M., additional, Griffin‐LaHue, Deirdre, additional, Grove, John H., additional, Hamilton, Stephen K., additional, Hao, Xiying, additional, Hayden, Zachary D., additional, Honsdorf, Nora, additional, Howe, Julie A., additional, Ippolito, James A., additional, Johnson, Gregg A., additional, Kautz, Mark A., additional, Kitchen, Newell R., additional, Kumar, Sandeep, additional, Kurtz, Kirsten S. M., additional, Larney, Francis J., additional, Lewis, Katie L., additional, Liebman, Matt, additional, Ramirez, Antonio Lopez, additional, Machado, Stephen, additional, Maharjan, Bijesh, additional, Gamiño, Miguel Angel Martinez, additional, May, William E., additional, McClaran, Mitchel P., additional, McDaniel, Marshall D., additional, Millar, Neville, additional, Mitchell, Jeffrey P., additional, Moore, Amber D., additional, Moore, Philip A., additional, Gutiérrez, Manuel Mora, additional, Nelson, Kelly A., additional, Omondi, Emmanuel C., additional, Osborne, Shannon L., additional, Alcalá, Leodegario Osorio, additional, Owens, Philip, additional, Pena‐Yewtukhiw, Eugenia M., additional, Poffenbarger, Hanna J., additional, Lira, Brenda Ponce, additional, Reeve, Jennifer R., additional, Reinbott, Timothy M., additional, Reiter, Mark S., additional, Ritchey, Edwin L., additional, Roozeboom, Kraig L., additional, Rui, Yichao, additional, Sadeghpour, Amir, additional, Sainju, Upendra M., additional, Sanford, Gregg R., additional, Schillinger, William F., additional, Schindelbeck, Robert R., additional, Schipanski, Meagan E., additional, Schlegel, Alan J., additional, Scow, Kate M., additional, Sherrod, Lucretia A., additional, Shober, Amy L., additional, Sidhu, Sudeep S., additional, Moya, Ernesto Solís, additional, St. Luce, Mervin, additional, Strock, Jeffrey S., additional, Suyker, Andrew E., additional, Sykes, Virginia R., additional, Tao, Haiying, additional, Campos, Alberto Trujillo, additional, Van Eerd, Laura L., additional, van Es, Harold M., additional, Verhulst, Nele, additional, Vyn, Tony J., additional, Wang, Yutao, additional, Watts, Dexter B., additional, Wright, David L., additional, Zhang, Tiequan, additional, and Honeycutt, C. Wayne, additional

Published
2022
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16. Evaluation of Aggregate Stability Methods for Soil Health

Author

Rieke, Elizabeth L., primary, Bagnall, Dianna K., additional, Morgan, Cristine L.S., additional, Flynn, Kade D., additional, Howe, Julie A., additional, Greub, Kelsey L.H., additional, Bean, Gregory M., additional, Cappellazzi, Shannon B., additional, Cope, Michael, additional, Liptzin, Daniel, additional, Norris, Charlotte E., additional, Tracy, Paul W., additional, Aberle, Ezra, additional, Ashworth, Amanda, additional, Bañuelos Tavarez, Oscar, additional, Bary, Andy, additional, Baumhardt, R. L., additional, Borbón Gracia, Alberto, additional, Brainard, Daniel C., additional, Brennan, Jameson R., additional, Briones Reyes, Dolores, additional, Bruhjell, Daniel, additional, Carlyle, Cameron N., additional, Crawford, James J.W., additional, Creech, Cody F., additional, Culman, Steve W., additional, Deen, Bill, additional, Dell, Curtis J., additional, Derner, Justin D., additional, Ducey, Thomas F., additional, Duiker, Sjoerd W., additional, Dyck, Miles F., additional, Ellert, Benjamin H., additional, Entz, Martin H., additional, Espinosa Solorio, Avelino, additional, Fonte, Steven J., additional, Fonteyne, Simon, additional, Fortuna, Ann-Marie, additional, Foster, Jamie L., additional, Fultz, Lisa M., additional, Gamble, Audrey V., additional, Geddes, Charles M., additional, Griffin-LaHue, Deirdre, additional, Grove, John, additional, Hamilton, Stephen K., additional, Hao, Xiying, additional, Hayden, Zachary D., additional, Honsdorf, Nora, additional, Ippolito, James A., additional, Johnson, Gregg A., additional, Kautz, Mark A., additional, Kitchen, Newell R., additional, Kumar, Sandeep, additional, Kurtz, Kirsten S.M., additional, Larney, Francis J., additional, Lewis, Katie L., additional, Liebman, Matt, additional, Lopez Ramirez, Antonio, additional, Machado, Stephen, additional, Maharjan, Bijesh, additional, Martinez Gamiño, Miguel Angel, additional, May, William E., additional, McClaran, Mitchel P., additional, McDaniel, Marshall D., additional, Millar, Neville, additional, Mitchell, Jeffrey P., additional, Moore, Amber D., additional, Moore Jr., Philip A., additional, Mora Gutiérrez, Manuel, additional, Nelson, Kelly A., additional, Omondi, Emmanuel C., additional, Osborne, Shannon L., additional, Osorio Alcalá, Leodegario, additional, Owens, Phillip, additional, Pena-Yewtukhiw, Eugenia, additional, Poffenbarger, Hanna J., additional, Ponce Lira, Brenda, additional, Reeve, Jennifer R., additional, Reinbott, Timothy R., additional, Reiter, Mark S., additional, Ritchey, Edwin L., additional, Roozeboom, Kraig L., additional, Rui, Yichao, additional, Sadeghpour, Amir, additional, Sanju, Upendra M., additional, Sanford, Gregg R., additional, Schillinger, William F., additional, Schindelbeck, Robert R., additional, Schipanski, Meagan E., additional, Schlegel, Alan J., additional, Scow, Kate, additional, Sherrod, Lucretia A., additional, Shober, Amy L., additional, Sidhu, Sudeep S., additional, Solís Moya, Ernesto, additional, St. Luce, Mervin, additional, Strock, Jeffrey S., additional, Suyker, Andrew E., additional, Sykes, Virginia R., additional, Tao, Haiying, additional, Trujillo Campos, Alberto, additional, Van Eerd, Laura L., additional, van Es, Harold M., additional, Verhulst, Nele, additional, Vyn, Tony J., additional, Wang, Yutao, additional, Watts, Dexter B., additional, Wright, David L., additional, Zhang, Tiequan, additional, and Honeycutt, C. Wayne, additional

Published
2022
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22. Indicators of lime reactivity in soil: particle size, carbon dioxide evolution, and citric acid titration.

Author

Heinrich, Aaron, Sullivan, Dan, and Moore, Amber D.

Subjects
LIMING of soils, CITRIC acid, SOIL particles, CARBON dioxide, SOIL acidity, SANDY loam soils
Abstract

Accurate predictions of the short-term reactivity of liming products are needed for situations where rapid soil pH adjustment is desired. Lime efficiency (LE) describes the capacity of a liming material to neutralize soil acidity in comparison with a finely ground CaCO3 standard (LE = 100%). Our objectives were to evaluate LE for calcitic liming materials varying in particle size at 1–12 months after soil incorporation using pH change (LEpH) and CO2 evolution (LECO2) as response indicators, and to evaluate a 15-min citric acid (CA) test as a predictor of LE. We evaluated LE for lime particle size separates from 10 to 200 USA mesh (< 2000 µm to 75 µm) and for three commercial liming products (65, 25 and 11 µm average particle size) in a sandy loam soil. In field microplots, it took 6 months to achieve LE of > 80% with lime particles of <60 mesh (< 250 µm). LEpH was linearly related to LECO2 at one month following lime incorporation into soil. Both LEpH and LECO2 increased as a function of CA test values, as described by logarithmic equations. Lime particle size, CO2 evolution, and CA test values were all useful indicators of short-term LE. [ABSTRACT FROM AUTHOR]

Published
2022
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24. In-season Accumulation and Partitioning of Macronutrients and Micronutrients in Irrigated Sugar Beet Production.

Author

De, Mriganka, Moore, Amber D., and Mikkelsen, Robert L.

Subjects
*MICRONUTRIENTS, *BEETS, *NUTRIENT uptake, *IRRIGATION, *AGRONOMY
Abstract

The yield of sugar beet (Beta vulgaris L.) has almost doubled from 1993 to 2018 in the U.S. There is interest in understanding how increased root yield potential in sugar beet production systems has influenced the in-season nutrient uptake patterns in the plants. In 2014, a study was conducted to evaluate amounts and rates of dry matter, macro- (N, P, K, Ca, Mg, S, and Na) and micro-nutrients (Fe, Mn, Zn, Cu, and B) accumulated by a single herbicide-resistant sugar beet variety (BTS 21RR25) on an irrigated Portneuf silt loam soil of southern Idaho. Nitrogen, P, and K fertilizers were applied at agronomic rates based on soil test values. Whole plants were destructively sampled at 16-d intervals from 9 June (germination) to 30 September 2014 (at harvest), separated into tops and roots, and analyzed for dry matter amount and nutrient concentrations to estimate amounts and rates of nutrient accumulation. Mean root yield was 67.5 tonne ha-1. Mean total accumulation at harvest was approximately 50.2 Mg ha-1, 268, 69, 529, 200, 122, 109, 28, 13, 1.85, 0.64, 0.16, and 0.68 kg ha-1 for dry matter, N, P, K, Na, Ca, Mg, S, Fe, Mn, Zn, Cu, and B, respectively. Dry matter, P, Cu, Mg, Mn, and Fe mean accumulations at harvest were between two-fold and seven-fold greater than previously reported. In contrast, N, K, S, Na, Ca, Zn, and B mean accumulations were within range of previously reported values. Findings from this study may be used to support nutrient management decision-making efforts for irrigated sugar beet production systems. [ABSTRACT FROM AUTHOR]

Published
2019
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