Ammonia Volatilization, Rice Yield, and Nitrogen Uptake Responses to Simulated Rainfall and Urease Inhibitor

2017 ◽  
Vol 109 (1) ◽  
pp. 363-377 ◽  
Author(s):  
Randy J. Dempsey ◽  
Nathan A. Slaton ◽  
Richard. J. Norman ◽  
Trenton L. Roberts
1987 ◽  
Vol 108 (1) ◽  
pp. 109-117 ◽  
Author(s):  
G. A. Rodgers ◽  
A. Penny ◽  
F. V. Widdowson ◽  
M. V. Hewitt

SummaryIn 1984 and 1985 a field experiment on a grass ley on a light sandy soil at Woburn Experimental Farm, Bedfordshire, tested injected aqueous urea and broadcast prilled urea, applied alone or with a nitrification or urease inhibitor. Aqueous urea, prilled urea and ‘Nitro-Chalk’ were applied as a single 375 kg N/ha dressing, and prilled urea and ‘Nitro-Chalk’ also as three 125 kg N/ha dressings. The nitrification inhibitor nitrapyrin or a mixture of sodium trithiocarbonate (STC) plus potassium ethyl xanthate (KEtX) was injected with aqueous urea. The nitrification inhibitor dicyandiamide (DCD) or the urease inhibitor phenyl-phosphorodiamidate (PPDA) was broadcast with prilled urea.The nitrification inhibitors significantly retarded nitrification of both aqueous and prilled urea. PPDA reduced ammonia volatilization from 375 kg N/ha broadcast as urea, and hence losses to the atmosphere, which otherwise ranged from 13 to 33 kg N/ha.Nitrapyrin or STC and KEtX increased yield and nitrogen uptake in both years when urea was injected in January. Nitrapyrin also increased yield and nitrogen uptake in 1985, but not in 1984, when urea was injected in March, whereas the STC and KEtX mixture was then either detrimental or ineffective. DCD increased yield and nitrogen uptake from a single dressing of broadoast urea only in 1985. PPDA increased yield and nitrogen uptake from a single broadcast dressing of urea in both years, but had little effect when applied with divided dressings.In 1984 a divided broadcast dressing of ‘Nitro-Chalk’ gave the largest yield and nitrogen uptake, but in 1985 aqueous urea injected with nitrapyrin in January or without or with a nitrification inhibitor in Maroh and prilled urea broadcast as a divided dressing all gave a larger yield. Similarly, a single application was generally more effective as ‘Nitro-Chalk’ in 1984, but as urea in 1985.


1996 ◽  
Vol 22 (3) ◽  
pp. 196-201 ◽  
Author(s):  
L. Vittori Antisari ◽  
C. Marzadori ◽  
P. Gioacchini ◽  
S. Ricci ◽  
C. Gessa

2015 ◽  
Vol 175 ◽  
pp. 96-105 ◽  
Author(s):  
Qianqian Li ◽  
Ailing Yang ◽  
Zhaohui Wang ◽  
Marco Roelcke ◽  
Xinping Chen ◽  
...  

1972 ◽  
Vol 37 (3) ◽  
pp. 511-520 ◽  
Author(s):  
G. R. Chaplin

1996 ◽  
Vol 22 (3) ◽  
pp. 196-201
Author(s):  
L. Vittori Antisari ◽  
C. Marzadori ◽  
P. Gioacchini ◽  
S. Ricci ◽  
C. Gessa

2014 ◽  
Vol 14 (8) ◽  
pp. 1341-1349 ◽  
Author(s):  
Jie Li ◽  
Yuanliang Shi ◽  
Jiafa Luo ◽  
David Houlbrooke ◽  
Stewart Ledgard ◽  
...  

2014 ◽  
Vol 38 (1) ◽  
pp. 223-231 ◽  
Author(s):  
Marcos Lima Campos do Vale ◽  
Rogério Oliveira de Sousa ◽  
Walkyria Bueno Scivittaro

The dynamics of N losses in fertilizer by ammonia volatilization is affected by several factors, making investigation of these dynamics more complex. Moreover, some features of the behavior of the variable can lead to deviation from normal distribution, making the main commonly adopted statistical strategies inadequate for data analysis. Thus, the purpose of this study was to evaluate the patterns of cumulative N losses from urea through ammonia volatilization in order to find a more adequate and detailed way of assessing the behavior of the variable. For that reason, changes in patterns of ammonia volatilization losses as a result of applying different combinations of two soil classes [Planossolo and Chernossolo (Typic Albaqualf and Vertic Argiaquolls)] and different rates of urea (50, 100 and 150 kg ha-1 N), in the presence or absence of a urease inhibitor, were evaluated, adopting a 2 × 3 × 2 factorial design with four replications. Univariate and multivariate analysis of variance were performed using the adjusted parameter values of a logistic function as a response variable. The results obtained from multivariate analysis indicated a prominent effect of the soil class factor on the set of parameters, indicating greater relevance of soil adsorption potential on ammonia volatilization losses. Univariate analysis showed that the parameters related to total N losses and rate of volatilization were more affected by soil class and the rate of urea applied. The urease inhibitor affected only the rate and inflection point parameters, decreasing the rate of losses and delaying the beginning of the process, but had no effect on total ammonia losses. Patterns of ammonia volatilization losses provide details on behavior of the variable, details which can be used to develop and adopt more accurate techniques for more efficient use of urea.


1999 ◽  
Vol 91 (6) ◽  
pp. 950-955 ◽  
Author(s):  
Herna´n Sainz Rozas ◽  
Herna´n E. Echeverrı´a ◽  
Guillermo A. Studdert ◽  
Fernando H. Andrade

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