Assessment of the Amino Sugar–Nitrogen Test on Iowa Soils: II. Field Correlation and Calibration

Barker, Daniel W.; Sawyer, John E.; Al‐Kaisi, Mahdi; Lundvall, John

doi:10.2134/agronj2006.0034

Cited by 44 publications

(36 citation statements)

References 17 publications

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“…However, we aimed to raise amino sugar N levels in the HMP soil class to 280 ppm so as to improve the likelihood of establishing soils with high N mineralization. While the ISNT is not a perfect tool for measuring N mineralization potential (Barker et al 2006b;Laboski et al 2008;Osterhaus et al 2008), it has been shown to be useful and is currently the best available approach to predicting mineralization potential (Klapwyk and Ketterings 2006;Lawrence et al 2009;Williams et al 2007). ISNT analyses were performed by university analytical laboratories.…”

Section: Methodsmentioning

confidence: 99%

Integrating Management of Soil Nitrogen and Weeds

et al. 2011

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Knowledge of the soil nitrogen (N) supply and the N mineralization potential of the soil combined with an understanding of weed-crop competition in response to soil nutrient levels may be used to optimize N fertilizer rates to increase the competitive advantage of crop species. A greenhouse study (2006) and field studies (2007 to 2008) in Illinois and Nebraska were conducted to quantify the growth and interference of maize and velvetleaf in response to varying synthetic N fertilizer rates in soils with high and low N mineralization potential. Natural soils were classified as having “low mineralization potential” (LMP), while soils amended with composted manure were classified as having “high mineralization potential” (HMP). Maize and velvetleaf were grown in monoculture or in mixture in both LMP and HMP soils and fertilized with zero, medium, or full locally recommended N rate. In the greenhouse, velvetleaf interference in maize with respect to plant biomass increased as N rate increased in the HMP soil, whereas increasing N rate in the LMP soil reduced velvetleaf interference. In contrast, velvetleaf interference in maize decreased as N rate increased regardless of soil class in the field experiment. With respect to grain yield, velvetleaf interference in maize was unaffected by N rate or soil class. In both greenhouse and field experiments, velvetleaf biomass was greater in the HMP soil class, whereas maize interference in velvetleaf was generally greater in the LMP soil class. While soil N levels influenced weed-crop interference in the greenhouse, the results of the field study demonstrate the difficulty of controlling soil nutrient dynamics in the field and support a maize fertilization strategy independent of weed N use considerations.

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Section: Methodsmentioning

confidence: 99%

Integrating Management of Soil Nitrogen and Weeds

et al. 2011

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“…Klapwyk and Ketterings (2006) were successful in using the ISNT to predict corn yield response to sidedress N in New York, but only when organic matter (OM) was considered. In contrast to these fi ndings, work from several other states including Iowa (Barker et al, 2006b), Wisconsin (Osterhaus et al, 2008), Virginia (Spargo et al, 2009), Michigan, Minnesota, and Nebraska (Laboski et al, 2008) reported that the ISNT could not accurately predict corn response to N. Th e primary concerns raised in the latter studies involve the relationships between ISNT hydrolyzed-N and total N (TN), crop response to N and EONR. From these concerns emerged the view that the ISNT was not sensitive in measuring potentially mineralizable-N, but rather measured a constant fraction of TN, notwithstanding much evidence to the contrary from data reported by Barker et al (2006a), Laboski et al (2008), Osterhaus et al (2008), and Spargo et al (2009).…”

Section: Predicting Nitrogen Fertilizer Needs For Rice In Arkansas Usmentioning

confidence: 97%

Predicting Nitrogen Fertilizer Needs for Rice in Arkansas Using Alkaline Hydrolyzable-Nitrogen

Roberts¹,

Ross²,

Norman³

et al. 2011

Soil Science Society of America Journal

107

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“…Since its development, the Illinois soil N test has been evaluated by many researchers who have reported both successes in using the Illinois soil N test to differentiate N responsive from nonresponsive sites Mulvaney et al, 2006;Sharifi et al, 2007;Williams et al, 2007aWilliams et al, , 2007b and failures (Barker et al, 2006;Laboski et al, 2008;Osterhaus et al, 2008).…”

Section: Illinois Soil Nitrogen Testmentioning

confidence: 99%

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

et al. 2018

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A gronomy J our n al • Volume 110 , I ssue 1 • 2 018 1 T he goal of an N recommendation system is to accurately estimate the gap between the N provided by the soil and the N required by the plant. Accurately estimating this gap depends on the ability of the recommendation system to accurately estimate fi eld or subfi eld specifi c economically optimal nitrogen rates (EONR). Current recommendation systems are not as accurate as needed to provide consistently reliable estimates of N needs across years at the fi eld or subfi eld scale. Uncontrollable factors like temperature, rainfall timing, intensity and amount, and interactions of temperature and rainfall with factors such as N source, timing and placement, plant genetics, and soil characteristics combine to make N rate recommendations for an individual fi eld or rates for subfi elds a process guided as much by science as by the best professional judgement of farmers and farm advisors.Substantial evidence has accumulated that EONRs can vary widely across fi elds, within fi elds and over years in the same fi eld for a wide range of crops and geographies. Examples ABSTRACTNitrogen fi xation by the Haber-Bosch process has more than doubled the amount of fi xed N on Earth, signifi cantly infl uencing the global N cycle. Much of this fi xed N is made into N fertilizer that is used to produce nearly half of the world's food. Too much of the N fertilizer pollutes air and water when it is lost from agroecosystems through volatilization, denitrifi cation, leaching, and runoff . Most of the N fertilizer used in the United States is applied to corn (Zea mays L.), and the profi tability and environmental footprint of corn production is directly tied to N fertilizer applications. Accurately predicting the amount of N needed by corn, however, has proven to be challenging because of the eff ects of rainfall, temperature, and interactions with soil properties on the N cycle. For this reason, improving N recommendations is critical for profi table corn production and for reducing N losses to the environment. Th e objectives of this paper were to review current methods for estimating N needs of corn by: (i) reviewing fundamental background information about how N recommendations are created; (ii) evaluating the performance, strengths, and limitations of systems and tools used for making N fertilizer recommendations; (iii) discussing how adaptive management principles and methods can improve recommendations; and (iv) providing a framework for improving N fertilizer rate recommendations.

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Assessment of the Amino Sugar–Nitrogen Test on Iowa Soils: II. Field Correlation and Calibration

Cited by 44 publications

References 17 publications

Integrating Management of Soil Nitrogen and Weeds

Integrating Management of Soil Nitrogen and Weeds

Predicting Nitrogen Fertilizer Needs for Rice in Arkansas Using Alkaline Hydrolyzable-Nitrogen

Strengths and Limitations of Nitrogen Rate Recommendations for Corn and Opportunities for Improvement

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