Improving DNDC model to estimate ammonia loss from urea fertilizer application in temperate agroecosystems

2016 ◽  
Vol 106 (3) ◽  
pp. 275-292 ◽  
Author(s):  
B. Dutta ◽  
K. A. Congreves ◽  
W. N. Smith ◽  
B. B. Grant ◽  
P. Rochette ◽  
...  
Keyword(s):  
Fertilizer Application ◽  
Ammonia Loss ◽  
Dndc Model ◽  
Urea Fertilizer

scholarly journals Aplikasi Pupuk Urea pada Pertumbuhan Bibit Jabon Merah (Anthocephalus macrophyllus (Roxb.) Havil) di Persemaian (Studi Kasus di IUPHHK PT.Telagabakti Persada Halmahera Selatan)

2019 ◽  
Vol 10 (2) ◽  
pp. 70-74
Author(s):  
Laswi Irmayanti ◽  
Nurmaya Talib ◽  
Salam Salam
Keyword(s):  
Fertilizer Application ◽  
Fertilizer Treatment ◽  
Urea Fertilizer ◽  
Fast Growing ◽  
Fast Growing Species

Red Jabon (Anthocephalus macrophyllus (Roxb.) Havil.) is one of the fast growing species that became priority to be developed in South Halmahera Regency, North Maluku Province. Currently the red jabon has become “Local Superior Crops” in North Maluku. One of IUPHHK in South Halmahera which develops red jabon is PT. Telagabakti Persada. The purpose of this study was to determine the best growth of red jabon seedling on urea fertilizer application. The study was conducted at PT. Telagabakti Persada, South Halmahera. The treatments of urea fertilizer were 0 g,  0.25 g, 0.50 g, 0.75 g, and 1 g. The results showed that the urea 0.25 g  fertilizer treatment resulted in the best growth of red jabon seedlings.Key words: Red Jabon, Nursery, Growth of seedling, Urea

scholarly journals Quantifying N2O emissions from intensive grassland production: the role of synthetic fertilizer type, application rate, timing and nitrification inhibitors

2016 ◽  
Vol 154 (5) ◽  
pp. 812-827 ◽  
Author(s):  
M. J. BELL ◽  
J. M. CLOY ◽  
C. F. E. TOPP ◽  
B. C. BALL ◽  
A. BAGNALL ◽  
...  
Keyword(s):  
Nitrous Oxide ◽  
Fertilizer Application ◽  
Application Rate ◽  
Nitrous Oxide Emissions ◽  
Mineral Fertilizers ◽  
Urea Fertilizer ◽  
Mitigation Options ◽  
Application Rates ◽  
The Impact ◽  
Ipcc Default

SUMMARYIncreasing recognition of the extent to which nitrous oxide (N2O) contributes to climate change has resulted in greater demand to improve quantification of N2O emissions, identify emission sources and suggest mitigation options. Agriculture is by far the largest source and grasslands, occupying c. 0·22 of European agricultural land, are a major land-use within this sector. The application of mineral fertilizers to optimize pasture yields is a major source of N2O and with increasing pressure to increase agricultural productivity, options to quantify and reduce emissions whilst maintaining sufficient grassland for a given intensity of production are required. Identification of the source and extent of emissions will help to improve reporting in national inventories, with the most common approach using the IPCC emission factor (EF) default, where 0·01 of added nitrogen fertilizer is assumed to be emitted directly as N2O. The current experiment aimed to establish the suitability of applying this EF to fertilized Scottish grasslands and to identify variation in the EF depending on the application rate of ammonium nitrate (AN). Mitigation options to reduce N2O emissions were also investigated, including the use of urea fertilizer in place of AN, addition of a nitrification inhibitor dicyandiamide (DCD) and application of AN in smaller, more frequent doses. Nitrous oxide emissions were measured from a cut grassland in south-west Scotland from March 2011 to March 2012. Grass yield was also measured to establish the impact of mitigation options on grass production, along with soil and environmental variables to improve understanding of the controls on N2O emissions. A monotonic increase in annual cumulative N2O emissions was observed with increasing AN application rate. Emission factors ranging from 1·06–1·34% were measured for AN application rates between 80 and 320 kg N/ha, with a mean of 1·19%. A lack of any significant difference between these EFs indicates that use of a uniform EF is suitable over these application rates. The mean EF of 1·19% exceeds the IPCC default 1%, suggesting that use of the default value may underestimate emissions of AN-fertilizer-induced N2O loss from Scottish grasslands. The increase in emissions beyond an application rate of 320 kg N/ha produced an EF of 1·74%, significantly different to that from lower application rates and much greater than the 1% default. An EF of 0·89% for urea fertilizer and 0·59% for urea with DCD suggests that N2O quantification using the IPCC default EF will overestimate emissions for grasslands where these fertilizers are applied. Large rainfall shortly after fertilizer application appears to be the main trigger for N2O emissions, thus applicability of the 1% EF could vary and depend on the weather conditions at the time of fertilizer application.

scholarly journals Effect of Different Doses of Urea on the Yield of Boro Rice Varieties in Haor Areas of Bangladesh

2019 ◽  
pp. 1-9
Author(s):  
Mahmudul Karim ◽  
Md. Abul Kashem ◽  
Azmul Huda ◽  
Md. Abdul Aziz ◽  
Bani Krishna Goswami
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Block Design ◽  
Growth Yield ◽  
Fertilizer Application ◽  
Higher Plant ◽  
Rice Varieties ◽  
Urea Fertilizer ◽  
Two Factors ◽  
Boro Rice

The experiment was carried out at Sunamganj district during November 2016 to May 2017 to observed the effect of urea fertilizer on the yield of boro rice varieties in haor areas of Bangladesh. Two factors experiment viz. Varieties BRRI dhan29 and BRRI dhan58; and six urea fertilizer levels including: 340 (F1), 320 (F2), 300 (F3), 280 (F4), 260 (F5), and 165 kg ha-1 (F6) [Farmer’s practice (FP)] were used. In case of F1-F5, the MoP-TSP-CaS04-ZnS04 as 127-112-75-11 kg ha-1 were used while Farmers’ practice (FP) was done with only 82 kg ha-1 TSP. The experiment was laid out in two factors randomized complete block design (RCBD) with three farmers’ replications. Data were collected on growth, yield and yield contributing characters of boro rice. Plant height varied at harvest stage in relation to variety and fertilizer. The tillers production hill-1 varied at harvest in case of variety and urea application. Higher plant height was found in BRRI dhan58 (93.9 cm) in comparison to BRRI dhan29 (90.3 cm). Plant height was also influenced due to urea fertilizers application. The higher tillers hill-1 (15.9), effective tillers hill-1 (12.3) and longer panicle length (21.1 cm) were produced by BRRI dhan58 at harvest compared to BRRI dhan29. The longest panicle (21.4 cm) was produced in the treatment F3 (300 kg urea ha-1). Higher number of sterile spikelets panicle-1 (58.5) and 1000-grain weight (23.2 g) was produced by BRRI dhan58. Higher number of grains panicle-1 (137.5) was produced by BRRI dhan29. The highest grain yield (6.7 t ha-1) and straw yield (7.91 t ha-1) were obtained in the treatment F3 (300 kg urea ha-1). The experimental soil analyses showed that the nutrient contents in post-harvest soils were higher compared to initial soil due to balanced fertilizer application. It is concluded that 300 kg urea ha-1 promoted highest grain yield.

scholarly journals Pengaruh Pemberian Pupuk Kotoran Ayam dan Urea terhadap Pertumbuhan dan Hasil Tanaman Bawang Daun pada Tanah Gambut Pedalaman

2018 ◽  
Vol 4 (1) ◽  
pp. 29-37
Author(s):  
Fredy Agus Saputra Pantie ◽  
Titin Apung Atikah ◽  
Lusia Widiastuti
Keyword(s):  
Plant Height ◽  
Peat Soil ◽  
Fertilizer Application ◽  
Chicken Manure ◽  
Growth And Yield ◽  
Single Factor ◽  
Fresh Weight ◽  
Urea Fertilizer ◽  
Randomized Design ◽  
Completely Randomized Design

The purpose of this study was to determine the effect of chicken manure and urea on the growth and yield of onion leaves on inland peat soil. The design used was a Completely Randomized Design (CRD) factorial with two treatment factors. The first factor is that chicken manure fertilizer application consists of 4 levels, namely: 0, 5, 10 and 15 tons/ha, and the second factor is the provision of urea that consists of 3 levels, namely: 0, 125 and 250 kg/ha. The variables measured were plant height and fresh weight of the leaves of onion plants. The results showed that the interaction between chicken manure and urea fertilizer had no significant effect on all variables observed at all ages observed. Single factor giving 15 tons/ha of chicken manure fertilizer showed growth and better results on the average variable plant height and fresh weight of the leaves of onion plants in inland peat soil. Single factor giving of urea 250 kg/ha showed growth and better results on the average variable plant height and fresh weight of onion plants in inland peat soil.

scholarly journals Measured and Modeled (DNDC) Nitrous Oxide Emissions (N2O) under Different Crop Management Practices in the Nitra Region, Slovakia

2016 ◽  
Vol 19 (2) ◽  
pp. 54-57
Author(s):  
Ján Horák ◽  
Irina Mukhina
Keyword(s):  
Management Practices ◽  
Model Simulation ◽  
Conventional Tillage ◽  
Fertilizer Application ◽  
Nitrous Oxide Emissions ◽  
Reduced Tillage ◽  
Poor Correlation ◽  
Dndc Model ◽  
Relative Deviation ◽  
Good Agreement

Abstract An important method of investigating N2O emissions from cropland is model simulation. The measured data of N2O emissions under conventional tillage (CT) and reduced tillage (RT) with (N1) and without (N0) N fertilizer application were used to test the DNDC model during the year 2012 (April-December) in Slovakia. There was found a good agreement with seasonal N2O emissions only for CTN0 treatment, but in case of other treatments DNDC overestimated the emissions. The relative deviation between observed and simulated total seasonal N2O emissions (kg N ha−1) from four treatments were 46%, 164%, 346% and 321% for CTN0, CTN1, RTN0 and RTN1, respectively. Also, some discrepancies were found between observed and simulated emissions when evaluating the daily N2O emissions, especially when looking at the magnitude of N2O emissions peaks. The correlation between observed and simulated daily N2O emissions (N = 38) in case of conventional tillage was quite high and significant with r = 0.48 (P <0.01), r = 0.45 (P <0.01) for CTN0 and CTN1 treatment, respectively. On the other hand, there was found poor correlation in reduced tillage treatment with r = 0.22 (P >0.01) and r = 0.39 (P >0.01), for RTN0, RTN1, respectively.

scholarly journals PEMBERIAN PUPUK UREA DAN PUPUK KANDANG KAMBING PADA TANAH ULTISOL BILAH HULU PADA PERTUMBUHAN PRODUKSI TANAMAN PAKCOY (Brassica rapa L)

2021 ◽  
Vol 46 (2) ◽  
pp. 175
Author(s):  
Fitra Syawal Harahap ◽  
Mulya Rafika ◽  
Zuriani Ritonga ◽  
Rendi Fitra Yana
Keyword(s):  
Leaf Area ◽  
Fertilizer Application ◽  
Fertilizer Treatment ◽  
Fresh Weight ◽  
Root Volume ◽  
Plant Weight ◽  
Urea Fertilizer ◽  
Group Design ◽  
Number Of Leaves ◽  
Goat Manure

Application of Urea Fertilizer and Goat manure in a Ultisol for green mustard plants (Brassica Chinensis L.) aimed to determine the fertilizer treatment of goats sometimes goats to increase leaf area, root volume, and fresh weight of plants. And Interaction of fertilizer application, sometimes goat fertilizer (ts/ha) and urea fertilizer on green mustard plants. This research was conducted in Sona Village with a height of 18 meters above sea level in Labuhanbatu Regency in December 2019 until March 2020. The material used was green mustard seeds, goat manure. Urea fertilizer, water Tools used are cutter blades, analytical scales, rulers, scissors, mortars, measuring flasks, buckets, calipers, neat ropes, hoes. The research will be conducted with a factorial group design. The first factor is the provision of factorial Group Design consisting of 2 factors, the first factor is Goat Cage fertilizer (K) consisting of 3 levels and the second factor is the provision of Urea fertilizer consisting of 2 dose levels, so we get 6 treatment combinations every 4 replications so that 24 plots were obtained. Each plot consisted of 25 plants and taken 5 plants as samples. The parameters observed were plant height (cm), number of leaves (strands), leaf area (cm2), root volume (ml), and weight of fresh plant weight (g). Data obtained from the results of the study were statistically analyzed with variance and continued with Duncan's New Multiple Range Test (DNMRT) at a 5% level. Results of research The treatment of fertilizer sometimes goat (ts/ ha) with a dose of 2 ts/ha and urea fertilizer at 100 kg/ha can increase leaf area, root volume, and plant fresh weight. As well as the interaction of fertilizer application, sometimes goat fertilizer (t / ha) and urea fertilizer have a significant influence on the parameters of leaf area, root volume, and plant fresh weight. 

Characteristics of N₂O Emissions from Urea Fertilizer Application to Cabbage Fields

2021 ◽  
Vol 12 (5-1) ◽  
pp. 515-522
Author(s):  
Sae Nun Song ◽  
Jiyun Woo ◽  
Seong Min Kang ◽  
Hwa Soo Lee ◽  
Eui-Chan Jeon
Keyword(s):  
Fertilizer Application ◽  
Urea Fertilizer

scholarly journals Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

2011 ◽  
Vol 8 (8) ◽  
pp. 2377-2390 ◽  
Author(s):  
Y. Wang ◽  
G. J. Sun ◽  
F. Zhang ◽  
J. Qi ◽  
C. Y. Zhao
Keyword(s):  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Fertilizer Application ◽  
Application Rate ◽  
Return Rate ◽  
N2o Emissions ◽  
Co2 Fluxes ◽  
Dndc Model ◽  
Agricultural Ecosystems ◽  
Fertilizer Application Rate

Abstract. Agricultural ecosystems are major sources of greenhouse gas (GHG) emissions, specifically nitrous oxide (N2O) and carbon dioxide (CO2). An important method of investigating GHG emissions in agricultural ecosystems is model simulation. Field measurements quantifying N2O and CO2 fluxes were taken in a summer maize ecosystem in Zhangye City, Gansu Province, in northwestern China in 2010. Observed N2O and CO2 fluxes were used for validating flux predictions by a DeNitrification-DeComposition (DNDC) model. Then sensitivity tests on the validated DNDC model were carried out on three variables: climatic factors, soil properties and agricultural management. Results indicated that: (1) the factors that N2O emissions were sensitive to included nitrogen fertilizer application rate, manure amendment and residue return rate; (2) CO2 emission increased with increasing manure amendment, residue return rate and initial soil organic carbon (SOC); and (3) net global warming potential (GWP) increased with increasing N fertilizer application rate and decreased with manure amendment, residue return rate and precipitation increase. Simulation of the long-term impact on SOC, N2O and net GWP emissions over 100 yr of management led to the conclusion that increasing residue return rate is a more efficient method of mitigating GHG emission than increasing fertilizer N application rate in the study area.

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