scholarly journals Nitrification Inhibitor 3,4-Dimethylpyrazole Phosphate Application During the Later Stage of Apple Fruit Expansion Regulates Soil Mineral Nitrogen and Tree Carbon–Nitrogen Nutrition, and Improves Fruit Quality

2020 ◽  
Vol 11 ◽  
Author(s):  
Fen Wang ◽  
Xinxiang Xu ◽  
Zhihang Jia ◽  
Xin Hou ◽  
Qian Chen ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Nitrogen Nutrition ◽  
Nitrification Inhibitor ◽  
Apple Fruit ◽  
Mineral Nitrogen ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen

scholarly journals Field experiments with slurry and dicyandiamide: response of potatoes and effects on soil mineral nitrogen

1993 ◽  
Vol 41 (2) ◽  
pp. 95-109
Author(s):  
W.P. Wadman ◽  
J.J. Neeteson ◽  
G.J. Wijnen
Keyword(s):  
Nitrogen Fertilizer ◽  
Field Experiments ◽  
Inorganic Nitrogen ◽  
Maximum Yield ◽  
Soil Layer ◽  
Nitrification Inhibitor ◽  
Mineral Nitrogen ◽  
Residual Soil ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen

In the period of 1983-1985, 18 field experiments with potatoes grown for industrial starch production were set up in the Netherlands to investigate the effects of poultry-slurry application on tuber yield and on soil mineral nitrogen. Slurry was applied in autumn with and without the nitrification inhibitor dicyandiamide (DCD) and in spring without DCD. Control treatments without slurry or DCD were included. Various nitrogen fertilizer rates were applied to all slurry treatments. In autumn, following slurry application without DCD, slurry-derived nitrate moved to the 0.3-0.6 and 0.6-1 m soil layers. Following DCD-application, most of the slurry-derived nitrate remained in the 0-0.3 m soil layer. Maximum yields as estimated from a nitrogen fertilizer response function were slightly increased by the slurry application. Nitrogen supplied from the slurry decreased the amount of fertilizer nitrogen needed for maximum yield. Increasing the amounts of soil mineral nitrogen in June from slurry or applied inorganic nitrogen fertilizer increased residual soil mineral nitrogen at harvest.

Role of soil mineral nitrogen for agricultural crops: Nitrogen nutrition diagnostics in Lithuania

2007 ◽  
Vol 53 (3) ◽  
pp. 263-271 ◽  
Author(s):  
Gediminas Staugaitis ◽  
Zigmas Vaisvila ◽  
Jonas Mazvila ◽  
Jonas Arbaciauskas ◽  
Tomas Adomaitis ◽  
...  
Keyword(s):  
Nitrogen Nutrition ◽  
Mineral Nitrogen ◽  
Agricultural Crops ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen

Effect of stubble management during different fallow periods on nitrogen nutrition of wheat on an irrigated black earth

1985 ◽  
Vol 25 (4) ◽  
pp. 869 ◽  
Author(s):  
PJ White ◽  
PG Saffigna ◽  
I Vallis
Keyword(s):  
Nitrogen Availability ◽  
Field Experiments ◽  
Nitrogen Nutrition ◽  
Mineral Nitrogen ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen ◽  
Slight Effect ◽  
Previous Crop ◽  
Nitrogen Concentrations ◽  
Irrigated Wheat

A series of field experiments was conducted on a black earth of the Darling Downs, in south-eastern Queensland, to examine nitrogen availability to irrigated wheat (Triticum aestivum) after stubble of the previous crop had been either removed, mulched, or incorporated. Three crop sequences were considered: S-W, sorghum (Sorghum bicolor), short (3-month) fallow, wheat; W-W, wheat, normal (7-month) fallow, wheat; LFW, sorghum, long (15-month) fallow, wheat. The effect of stubble management on the availability of nitrogen to the test crop of wheat in each sequence was assessed by the response of the test crop to urea applied at planting (0, 25, 50, 75, 100 and 150 kg N/ha). Soil mineral nitrogen was measured at the beginning and end of the fallow during the experiments. There was a little evidence that stubble management influenced plant growth in any of these cropping sequences. Responses to nitrogen were very large in the S-W sequence, moderate in the W-W and very slight in the LFW sequence. Apart from a slight effect in the S-W sequence, measured soil mineral nitrogen concentrations were unaffected by stubble treatments.

Link between paddy soil mineral nitrogen release and iron and manganese reduction examined in a rice pot growth experiment

Geoderma ◽  
2018 ◽  
Vol 326 ◽  
pp. 9-21 ◽  
Author(s):  
Masuda Akter ◽  
Heleen Deroo ◽  
Eddy De Grave ◽  
Toon Van Alboom ◽  
Mohammed Abdul Kader ◽  
...  
Keyword(s):  
Paddy Soil ◽  
Mineral Nitrogen ◽  
Nitrogen Release ◽  
Growth Experiment ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen ◽  
Manganese Reduction ◽  
Iron And Manganese

Soil mineral nitrogen and nitrate leaching losses in soil tillage systems combined with a catch crop

1999 ◽  
Vol 50 (2) ◽  
pp. 115-125 ◽  
Author(s):  
Maria Stenberg ◽  
Helena Aronsson ◽  
Börje Lindén ◽  
Tomas Rydberg ◽  
Arne Gustafson
Keyword(s):  
Nitrate Leaching ◽  
Mineral Nitrogen ◽  
Soil Tillage ◽  
Catch Crop ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen ◽  
Tillage Systems ◽  
Leaching Losses

scholarly journals Application of the Bayesian calibration methodology for the parameter estimation in CoupModel

2009 ◽  
Vol 21 ◽  
pp. 13-24 ◽  
Author(s):  
Y. Conrad ◽  
N. Fohrer
Keyword(s):  
Soil Water ◽  
Parameter Space ◽  
Mineral Nitrogen ◽  
Soil Mineral ◽  
Soil Mineral Nitrogen ◽  
Bayesian Calibration ◽  
Soil Temperatures ◽  
Simulation Results ◽  
Water Contents ◽  
Soil Water Contents

Abstract. This study provides results for the optimization strategy of highly parameterized models, especially with a high number of unknown input parameters and joint problems in terms of sufficient parameter space. Consequently, the uncertainty in model parameterization and measurements must be considered when highly variable nitrogen losses, e.g. N leaching, are to be predicted. The Bayesian calibration methodology was used to investigate the parameter uncertainty of the process-based CoupModel. Bayesian methods link prior probability distributions of input parameters to likelihood estimates of the simulation results by comparison with measured values. The uncertainty in the updated posterior parameters can be used to conduct an uncertainty analysis of the model output. A number of 24 model variables were optimized during 20 000 simulations to find the "optimum" value for each parameter. The likelihood was computed by comparing simulation results with observed values of 23 output variables including soil water contents, soil temperatures, groundwater level, soil mineral nitrogen, nitrate concentrations below the root zone, denitrification and harvested carbon from grassland plots in Northern Germany for the period 1997–2002. The posterior parameter space was sampled with the Markov Chain Monte Carlo approach to obtain plot-specific posterior parameter distributions for each system. Posterior distributions of the parameters narrowed down in the accepted runs, thus uncertainty decreased. Results from the single-plot optimization showed a plausible reproduction of soil temperatures, soil water contents and water tensions in different soil depths for both systems. The model performed better for these abiotic system properties compared to the results for harvested carbon and soil mineral nitrogen dynamics. The high variability in modeled nitrogen leaching showed that the soil nitrogen conditions are highly uncertain associated with low modeling efficiencies. Simulated nitrate leaching was compared to more general, site-specific estimations, indicating a higher leaching during the seepage periods for both simulated grassland systems.

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