Ammonia Volatilization from Broiler Litter: Effect of Soil Water Content and Humidity

Cassity‐Duffey, Kate; Cabrera, M. L.; Rema, J.

doi:10.2136/sssaj2014.07.0294

Cited by 13 publications

(8 citation statements)

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“…We found the partial correlation between ground NH 3 concentrations and humidity was −0.10 (p = 0.03), showing a significant inverse relationship between the ground NH 3 concentrations and humidity. Significant effects of air humidity on NH 3 loss were also demonstrated previously [42,43] contribute to more NH3 loss rates (NH3→ NH4 + ). In addition, we also conducted a partial correlation analysis [41] regarding ground NH3 concentrations, temperature, and humidity by considering their interactions using the function "partialcorr" in Matlab.…”

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 71%

“…We found the partial correlation between ground NH3 concentrations and humidity was −0.10 (p = 0.03), showing a significant inverse relationship between the ground NH3 concentrations and humidity. Significant effects of air humidity on NH3 loss were also demonstrated previously [42,43]. However, precipitation and wind speed were not significantly correlated with ground NH3 concentrations (p = 0.632, precipitation vs. NH3; p = 0.156, wind speed vs. NH3) as shown in Figures A4-A8.…”

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 66%

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Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Liu

Zhang

et al. 2017

Remote Sensing

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Abstract:As a primary basic gas in the atmosphere, atmospheric ammonia (NH 3 ) plays an important role in determining air quality, environmental degradation, and climate change. However, the limited ground observation currently presents a barrier to estimating ground NH 3 concentrations on a regional scale, thus preventing a full understanding of the atmospheric processes in which this trace gas is involved. This study estimated the ground NH 3 concentrations over China, combining the Infrared Atmospheric Sounding Interferometer (IASI) satellite NH 3 columns and NH 3 profiles from an atmospheric chemistry transport model (CTM). The estimated ground NH 3 concentrations showed agreement with the variability in annual ground NH 3 measurements from the Chinese Nationwide Nitrogen Deposition Monitoring Network (NNDMN). Great spatial heterogeneity of ground NH 3 concentrations was found across China, and high ground NH 3 concentrations were found in Northern China, Southeastern China, and some areas in Xinjiang Province. The maximum ground NH 3 concentrations over China occurred in summer, followed by spring, autumn, and winter seasons, which were in agreement with the seasonal patterns of NH 3 emissions in China. This study suggested that a combination of NH 3 profiles from CTMs and NH 3 columns from satellite obtained reliable ground NH 3 concentrations over China.

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Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 71%

“…We found the partial correlation between ground NH3 concentrations and humidity was −0.10 (p = 0.03), showing a significant inverse relationship between the ground NH3 concentrations and humidity. Significant effects of air humidity on NH3 loss were also demonstrated previously [42,43]. However, precipitation and wind speed were not significantly correlated with ground NH3 concentrations (p = 0.632, precipitation vs. NH3; p = 0.156, wind speed vs. NH3) as shown in Figures A4-A8.…”

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 66%

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Liu

Zhang

et al. 2017

Remote Sensing

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“…Strategic actions are needed in Brazil to develop technologies that enable the reuse of poultry litter as organic or organomineral fertilizers, since about 5.5 billion broiler poultry were slaughtered in 2015/2016 and there is a growth forecast up to 2020 (Brasil, 2010 in South Brazil due to its abundance, price, and ease of handling. It is estimated that 16,243,286 tons of poultry litter are produced annually in the country (Schneider et al, 2012), which can provide numerous benefits to soil physical, chemical, and biological properties if used accordingly to technical criteria (Hirzel et al, 2007;Cassity-Duffey et al, 2015;Mafra et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…It is estimated that 16,243,286 tons of poultry litter are produced annually in the country (Schneider et al, 2012), which can provide numerous benefits to soil physical, chemical, and biological properties if used accordingly to technical criteria (Hirzel et al, 2007;Cassity-Duffey et al, 2015;Mafra et al, 2015). Using N fertilizers with urease and nitrification inhibitors could also boost the content of available N in the soil and, consequently, increase nutrient recovery efficiency by providing a better balance between the N mineralization and nitrification processes (Muller et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Organic, organomineral, and mineral fertilizers with urease and nitrification inhibitors for wheat and corn under no-tillage

Corrêa

Grohskopf

Nicoloso

et al. 2016

Pesq. agropec. bras.

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-The objective of this work was to evaluate soil chemical attributes, leaf nitrogen content, and corn and wheat yields under a no-tillage system in response to the application of organic, organomineral, and mineral fertilizers with or without urease and nitrification inhibitors. The experiment was carried out on the field, with one wheat and two corn crops, on a Rhodic Kandiudox, in a randomized complete block design with six replicates. The evaluated treatments were: control, without fertilization; O, poultry litter as an organic fertilizer; O+I, poultry litter and inhibitors; OM, organomineral fertilizer; OM+I, organomineral fertilizer and inhibitors; U, urea as a mineral fertilizer; and U+I, super urea with the urease inhibitor alone. The use of organic, organomineral, and mineral fertilizers, with or without inhibitors, increased available N content in the 0.00-0.05-m soil layer. In deeper layers, only OM+I in the 0.05-0.10-m layer and U+I in the 0.10-0.20-m layer provided higher contents than the control treatment. Leaf N contents were adequate, regardless of the fertilizer used. The O, O+I, OM, and OM+I treatments increase available P content and base saturation, and decrease H+Al on soil surface. Moreover, all fertilizers increase total grain yield of the two studied crops, in the following order: OM+I > U+I ≥ U > OM ≥ O+I ≥ O.Index terms: Triticum aestivum, Zea mays, agronomic efficiency, poultry litter, nitrogen fertilization, volatilization losses. Fertilizantes orgânicos, organominerais e minerais com inibidores de urease e de nitrificação para trigo e milho em plantio diretoResumo -O objetivo deste trabalho foi avaliar os atributos químicos do solo, o teor de nitrogênio foliar e a produtividade de milho e trigo, em sistema plantio direto, em resposta à aplicação de fertilizantes orgânicos, organominerais e minerais, com ou sem inibidores da urease e da nitrificação. O experimento foi realizado em campo, com um cultivo de trigo e dois de milho, em Nitossolo Vermelho distroférrico, em delineamento de blocos ao acaso, com seis repetições. Os tratamentos avaliados foram: controle, sem adubação; O, fertilizante orgânico de cama de aves; O+I, cama de aves e inibidores; OM, fertilizante organomineral; OM+I, fertilizante organomineral e inibidores; U, ureia como fertilizante mineral; e U+I, superureia com inibidor da urease apenas. O uso de fertilizantes orgânicos, organominerais e minerais, com ou sem inibidores, aumentou o teor de N disponível na camada de 0,00-0,05 m do solo. Nas camadas mais profundas, apenas OM+I, na camada de 0,05-0,10 m, e U+I, na de 0,10-0,20 m, proporcionaram maiores teores do que o tratamento-controle. Os teores foliares de N foram adequados, independentemente do fertilizante utilizado. Os tratamentos O, O+I, OM e OM+I aumentam o teor de P disponível e a saturação por bases, e reduzem H+Al na camada superficial do solo. Além disso, todos os fertilizantes aumentam a produtividade total de grãos das duas culturas estudadas, na seguinte ordem: OM+I > U+I ≥ U > OM ≥ O+I ≥ O.Te...

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“…The ability of NIRS to predict the linear pHBC expressed on a dwb and “as is” basis was determined to better aid in model calculations. With rapid changes in the water content of surface‐applied poultry litter probably occurring daily as a function of relative humidity (Cassity‐Duffey et al, 2015), expressing the poultry litter pHBC on a dwb led to better accuracy regardless of water content. Although expressed on a dwb, all pHBC determinations and NIRS were performed on “as is” litter at the water content at which it was received.…”

Section: Methodsmentioning

confidence: 99%

Titration and Spectroscopic Measurements of Poultry Litter pH Buffering Capacity

et al. 2015

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The pH value of poultry litter is affected by nitrification, mineralization, and the addition of acidifying chemicals, all acting on the poultry litter pH buffering capacity (pHBC). Increased understanding of poultry litter pHBC will aid in modeling NH volatilization from surface-applied poultry litter as well as estimating rates of alum applications. Our objectives were to (i) determine the pHBC of a wide range of poultry litters; (ii) assess the accuracy of near-infrared reflectance spectroscopy (NIRS) for determining poultry litter pHBC; and (iii) demonstrate the use of poultry litter pHBC to increase the accuracy of alum additions. Litter pHBC was determined by titration and calculated from linear and sigmoidal curves. For the 37 litters measured, linear pHBC ranged from 187 to 537 mmol (pH unit) kg dry litter. The linear and sigmoidal curves provided accurate predictions of pHBC, with most > 0.90. Results from NIRS analysis showed that the linear pHBC expressed on an "as is" water content basis had a NIRS coefficient of calibration (developed using a modified partial least squares procedure) of 0.90 for the 37 poultry litters measured. Using the litter pHBC, an empirical model was derived to determine the amount of alum needed to create a target pH. The model performed well in the range of pH 6.5 to 7.5 (RMSE = 0.07) but underpredicted the amount of alum needed to reach pH <6. The lack of model performance at pH <6 was probably due to Al reacting with organic matter in the poultry litter, which prevented its hydrolysis.

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Ammonia Volatilization from Broiler Litter: Effect of Soil Water Content and Humidity

Cited by 13 publications

References 35 publications

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Organic, organomineral, and mineral fertilizers with urease and nitrification inhibitors for wheat and corn under no-tillage

Titration and Spectroscopic Measurements of Poultry Litter pH Buffering Capacity

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