|
DOI for Scientific and Technical Data |
https://www.doi.org/10.4228/ZALF.DK.103
|
Title |
Data on the effect of cultivars and irrigation on soybean yield and rotational effects |
Citation |
Reckling, Moritz; Rosner, Gunhild (2020) Data on the effect of cultivars and irrigation on soybean yield and rotational effects. Leibniz Centre for Agricultural Landscape Research (ZALF)
https://www.doi.org/10.4228/ZALF.DK.103
Citation from DataCite |
Creator(s) |
Reckling, Moritz
ORCID:0000-0002-0689-7686
Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
Rosner, Gunhild
Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
|
Publisher |
Leibniz Centre for Agricultural Landscape Research (ZALF) |
Dates |
Collected:
2015-04-01/2018-12-31
|
PublicationYear |
2020
|
Contributor(s) |
Researcher: Reckling, Moritz (ZALF, Müncheberg
(Germany), GRID: 433014.1)
DataCollector: Rosner, Gunhild (ZALF, Müncheberg (Germany), GRID: 433014.1)
DataCollector: Stange, Gerlinde (ZALF, Müncheberg (Germany), GRID: 433014.1)
DataCollector: Experimental station Muencheberg, Leibniz Centre for Agricultural Landscape Research (ZALF)
DataManager:Reckling, Moritz (ZALF, Müncheberg (Germany), GRID: 433014.1)
HostingInstitution: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg (Germany), GRID: 433014.1
|
Subject(s) |
AGROVOC: Soybeans; Organic agriculture; Irrigation;
Yields, Protein content; Nitrogen content
GEMET:
Other:
|
Description |
Abstract:
This data set reports measurements and observations from a soybean cropping system experiment (2015-2018) investigating the effects of cultivars and irrigation on soybean yield and rotational
effects on a subsequent cereal crop. The objective was to design novel soybean-supported cropping systems in north-eastern Germany. The data supports agronomic analyses, as well as dynamic
simulation modelling and includes details on crop growth, soil characteristics and weather.
In the first part of the experiment different soybean cultivars and the effect of irrigation were compared in a split block design with six replicates and the factors cultivar and irrigation
during three consecutive years (2015-2017). The treatments included with and without irrigation and three early maturing soybean cultivars of maturity group 000 (cv. Merlin and cv. Sultana for
feed use and cv. Protibus for human food use). Buckwheat and Narrow-leafed lupin (cv. Probor) were cultivated as references. Seeds were inoculated with HISTICK® soybean (BASF, Germany). Measurements
included whole plant biomass, grain yield, one thousand seed weigh, macro nutrients (N, P, K) in the biomass and grain, and additional agronomic observations including number of plants and plant
phenology. Irrigation water was applied with a sprinkler system using the Web-BEREST model (Mirschel et al., 2014) to determine the amounts and timing (data on the amounts and dates are provided).
In the second part of the experiment, the pre-crop effect of soybean (without cover crop), narrow-leafed lupin (followed by turnip rape as a cover crop), and buckwheat (without cover crop) was
tested on the grain yield and nutrient content in the following oat crop and on the nitrogen dynamics in the soil. Before winter (November) and in the subsequent spring (March), mineral nitrogen
was measured in the soil at three depths (0-30 cm, 30-60 cm, and 60-90 cm) after the different pre-crops. A spring oat was established following the different pre-crops with 6 replicates during
three consecutive years (2016-2018).
|
Funding Reference |
funderName: Federal Ministry of Education and
Research (BMBF), Germany (GRID: 5586.e)
awardNumber: Grant PTJ-031A544
awardTitle: FACCE-ERA-NET+ project Climate-CAFE |
Related Identifier |
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.DK.105
(Weather data 2018 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.DK.104
(Weather data 2017 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.2016.331 (Weather data 2016 Muencheberg)
IsSupplementedBy DOI: https://doi.org/10.4228/ZALF.2015.330 (Weather data 2015 Muencheberg)
Documents DOI: https://doi.org/10.1016/j.eja.2019.125951 (Re-designing organic grain legume cropping systems using systems agronomy)
|
Language |
English |
Geolocation |
Müncheberg, Germany V402_410 2015
Müncheberg, Germany V402_410 2016
Müncheberg, Germany V402_410 2017 |
Data Format |
csv |
Size |
|
Type of Resource |
Dataset: Table |
Structure of Data Table(s) |
Table V402_CROP_BIOMASS_NITROGEN :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2015; 2016; 2017 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2015
until 2017 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2015 Field_No =932; 2016
Field_No = 936; 2017 Field_No =938 |
- |
- |
- |
PLOT_NO |
- |
number of single plot (without special discription) |
- |
- |
- |
IRRIGATION |
- |
rainfed, irrigation: Irrigation treatment plant species
according model BEREST 90/IRRIGAMA |
- |
- |
- |
REP |
- |
contraction replication number of the same treatment |
- |
- |
- |
PLANT_SPECIES |
- |
plant species: soybean; lupine (followed by turnip rape ); buckweat |
- |
- |
- |
CULTIVAR_NAME |
- |
name of cultivar and cultivar with special treatments (only
cv. Sultana) |
- |
- |
- |
PLANTS_QM |
- |
number of plants (pieces) per 2 square meters per plot |
- |
manual counted 2* 2 running metres |
- |
HARV_TYPE |
- |
type of harvest; final harvest of grain ore intermediate
harvest of green plant |
- |
- |
- |
HARV_ME |
- |
methode of harvest (by machine or hand) |
- |
- |
- |
DATE |
- |
date of sampling |
- |
- |
- |
PLANT_MAT |
- |
type of plant material; grain or green plant |
- |
- |
- |
HARV_AREA |
m2 |
size of harvest area, depends on harvest type |
- |
- |
- |
FRESH_MASS_KG_HARV_AREA |
kg area-1 |
amount of fresh matter per harvested area (harvested by
machine or hand) |
- |
- |
- |
DRY_MA_CONT |
% |
content of dry matter in sample at harvest |
drying oven |
drying time for grain: 4h at 130°C; drying time for green mass: 48h at 60°C |
- |
CLEANN |
% |
cleanliness =100 %-pollution (pollution by weed; stems…) |
- |
calculation (determination of dirt within a sample and extraction; comparison of sample weight before and after the dirt extraction) |
- |
YIELD_DM |
t h-1 |
yield dry mass; grain or green plant; 2017 buckweat no grain
yields |
- |
calculated with 100 % dry matter |
- |
N_T_CONT |
% |
content of total nitrogen in dry plant material |
photometer Gallery Plus TM (ThermoFischer Scientific GmbH) |
after Kjeldahl |
DIN EN 25663 |
P_CONT |
% |
content of total phosphor in dry plant material |
spectrometer; random access analyzer Gallery Plus TM
(ThermoFischer Scientific GmbH) |
Focal length, photomentric, F-AES, F-AAS |
DIN EN 25663 |
K_CONT |
% |
content of total potassium in dry plant material |
spectrometer; random access analyzer AAS-iCE 3300 Gallery TM
(ThermoFischer Scientific GmbH) |
Focal length, photomentric, F-AES, F-AAS |
DIN EN 25663 |
YIELD_N |
kg ha-1 |
nitrogen yield |
calculation |
calculated from N-content (%) and yield dry mass |
- |
CRUDEPRO_CONT |
% |
content of crude protein |
- |
calculation (Product of N content *6,25) |
- |
YIELD_CRUDEPRO |
kg ha-1 |
yield of crude protein |
calculated from crude protein-content (%) and yield dry mass |
calculation |
- |
YIELD_P |
kg ha-1 |
phosphorus yield |
calculated from P-content (%) and yield dry mass |
calculation |
- |
YIELD_K |
kg ha-1 |
potassium yield |
calculated from K-content (%) and yield dry mass |
calculation |
- |
TGW |
g |
thousand grain mass |
counting machine Contador E (Pfeuffer) |
4 times 100 grains are counted; thousand grain mass
extrapolated after that |
- |
ADDITIONAL_INFO |
- |
remarks to sampling |
- |
- |
- |
Table V402_CROP_ONTOGENESIS :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2015; 2016; 2017 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2015
until 2017 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2015 Field_No =932; 2016
Field_No = 936; 2017 Field_No =938 |
- |
- |
- |
IRRIGATION |
- |
rainfed, irrigation: Irrigation treatment plant species
according model BEREST 90/IRRIGAMA |
- |
- |
- |
PLANT_SPECIES |
- |
plant species: soybean; lupine (followed by turnip rape ); buckweat |
- |
- |
- |
CULTIVAR_NAME |
- |
name of cultivar (soybean: Protibus, Sultana, Merlin and cultivar with special treatments
(only cv. Sultana); Lupine cv. Probor only, buckwheat Fagopyrum tataricum only |
- |
- |
- |
SOWING_DATE |
yyyy-mm-dd |
date of sowing soybean; lupine; buckweat; turnip rape |
- |
- |
- |
EMERGENCE_DATE |
yyyy-mm-dd |
emergence of plants |
- |
optical assessment |
- |
BEG_FLOWERING |
yyyy-mm-dd |
Beginn of flowering of plants BBCH 61 |
- |
see above |
see above |
FIRST_PODS |
yyyy-mm-dd |
beginning pod development, BBCH 71 |
- |
see above |
see above |
BEG_SEED |
yyyy-mm-dd |
70 % of pods have reached final size, BBCH 77 |
- |
see above |
see above |
BEG_MATURITY |
yyyy-mm-dd |
50 to 80 % pods are mature, BBCH 82-88 |
- |
see above |
see above |
MATURITY |
yyyy-mm-dd |
95 % of the pods ar mature, BBCH 89 |
- |
see above |
see above |
ADDITIONAL_INFO |
- |
remarks |
- |
- |
- |
Table V402_MANAGEMENT :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2015; 2016; 2017 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2015
until 2017 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2015 Field_No =932; 2016
Field_No = 936; 2017 Field_No =938 |
- |
- |
- |
PLANT_SPECIES |
- |
plant species: soybean; lupine (followed by turnip rape ); buckweat |
- |
- |
- |
CULTIVAR_NAME |
- |
cultivar-name (combined with special treatments of soybean cv. Sultana only)
of soybean and lupine, buckwheat without cultivar_name |
- |
- |
- |
PRECROP |
- |
previous crop before starting experiment |
- |
- |
- |
TILLAGE_BY |
- |
Tillage by plough, cultivator … |
- |
- |
- |
TILLAGE_DEPTH_CM |
cm |
tillage depth |
- |
- |
- |
TILLAGE_DATE |
yyyy-mm-dd |
tillage date in trial year |
- |
- |
- |
SOWING_DATE |
yyyy-mm-dd |
sowing date of soybean, buckweat, lupine |
- |
- |
- |
ROW_DISTANCE |
cm |
row distance of soybean, buckweat, lupine, turnip rape |
- |
- |
- |
GERMINABLE_SEED_GRAINS_QM |
germinable kernels/m2 |
seed density |
- |
- |
- |
EMERGENCE_DATE |
yyyy-mm-dd |
emergence of plants |
- |
optical assessment |
- |
APPL_INSEK_DATE |
yyyy-mm-dd |
application insecticide |
- |
- |
- |
INSEK_TYPE |
- |
type of insecticide |
- |
- |
- |
INSEK_AMOUNT |
l/ha |
amout of insecticide |
- |
- |
- |
HARVEST_DATE |
yyyy-mm-dd |
harvest date |
- |
- |
- |
HARVEST_ME |
- |
methode of harvest (by machine or hand) |
- |
- |
- |
IRRIGATION_AMOUNT_MM |
mm |
amount of irrigagtion according model BEREST 90/IRRIGAMA;
2017 no irrigation because moist year |
- |
- |
- |
IRRIGATION_APPLICATION_DATE |
yyyy-mm-dd |
date of irrigation |
- |
- |
- |
ADDITIONAL_INFO |
|
remarks |
- |
- |
- |
Table V402_SOIL_TEXTURE and V410_SOIL_TEXTURE
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2015; 2016; 2017 resp. 2016; 2017; 2018 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment |
- |
- |
- |
HORIZON |
- |
name of horizon of special soil profile (digging 1982) |
literature |
- |
TGL 24300 (1985): Aufnahme landwirtschaftlich genutzter
Standorte.- In: Fachbereichsstandards, Akademie der
Landwirtschaftswissenschaften der DDR, Berlin |
DEPTH_CM |
cm |
depth of horizon, in cm, from to (e.g. 0-20 cm) |
- |
- |
- |
CLAY_PERC |
% |
percentage of clay |
- |
|
see TGL 24300 standard above |
SILT_PERC |
% |
percentage of silt |
- |
|
see TGL 24300 standard above |
SAND_PERC |
% |
percentage of sand |
- |
|
see TGL 24300 standard above |
TOTAL_CARBON_PERC |
% |
total carbon |
- |
|
see TGL 24300 standard above |
TOTAL_NITROGEN_PERC |
% |
total nitrogen |
- |
|
see TGL 24300 standard above |
C_N |
- |
ratio of carbon and nitrogen |
- |
calculation |
- |
PH_KCL |
- |
pH level |
- |
- |
TGL 25418/06 (1975): Chemische Bodenuntersuchung.- In:
Fachbereichsstandards, Akademie der
Landwirtschaftswissenschaften der DDR, Berlin |
ADDITIONAL_INFO |
- |
remarks |
- |
- |
- |
Table V410_CROP_BIOMASS_NITROGEN :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2016; 2017; 2018 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2016
until 2018 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2016 Field_No =932; 2017
Field_No = 936; 2018 Field_No =938 |
- |
- |
- |
PLOT_NO |
- |
number of single plot (without special discription) |
- |
- |
- |
IRRI_PRECROP |
- |
irrigation treatment precrop |
- |
- |
- |
REP |
- |
contraction replication number of the same treatment |
- |
- |
- |
PRECROP_PLANT_SPECIES |
- |
precrops: soybean (cv) Sultana ; Lupinus luteus (cv) Probor
(after harvest lupin seeding of turnip rape; Brassica rapa var. Rapa
( cv Buko)); buckwheat (Fagopyrum tataricum) |
- |
- |
- |
PLANTS_QM |
- |
number of oatsplants after emergence |
- |
manual counted 2* 2 running metres |
- |
HARV_TYPE |
- |
type of harvest; intermediate harvest; final harvest |
- |
- |
- |
HARV_ME |
- |
methode of harvest (by machine or hand) |
- |
- |
- |
DATE |
- |
date of sampling |
- |
- |
- |
PLANT_MAT |
- |
type of plant material; grain or green plant |
- |
- |
- |
HARV_AREA |
m2 |
size of harvest area, depends on harvest type |
- |
- |
- |
EARS_QM |
m2 |
number of ears before harvest |
- |
manual counted 2* 2 running metres |
- |
FRESH_MASS_KG_HARV_AREA |
kg area-1 |
amount of fresh matter per harvested area (harvested by
machine or hand) |
- |
- |
- |
DRY_MA_CONT |
% |
content of dry matter in sample at harvest |
drying oven |
drying time for grain: 4h at 130°C |
- |
CLEANN |
% |
cleanliness =100 %-pollution (pollution by weed; stems…) |
- |
calculation (determination of dirt within a sample and extraction; comparison of sample weight before and after the dirt extraction) |
- |
YIELD_DM |
t h-1 |
yield dry matter |
- |
calculated with 100 % dry matter |
- |
N_T_CONT |
% |
content of total nitrogen in dry plant material |
photometer Gallery Plus TM (ThermoFischer Scientific GmbH) |
after Kjeldahl |
DIN EN 25663 |
P_CONT |
% |
content of total phosphor in dry plant material |
spectrometer; random access analyzer Gallery Plus TM
(ThermoFischer Scientific GmbH) |
Focal length, photomentric, F-AES, F-AAS |
DIN EN 25663 |
K_CONT |
% |
content of total potassium in dry plant material |
spectrometer; random access analyzer AAS-iCE 3300 Gallery TM
(ThermoFischer Scientific GmbH) |
Focal length, photomentric, F-AES, F-AAS |
DIN EN 25663 |
YIELD_N |
kg ha-1 |
nitrogen yield |
calculation |
nitrogen yield calculated from N-content (%) and yield
dry mass |
- |
CRUDEPRO_CONT |
% |
content of crude protein |
- |
calculation (Product of N content *6,25) |
- |
YIELD_CRUDEPRO |
kg ha-1 |
yield of crude protein |
calculated from crude protein-content (%) and yield dry mass |
calculation |
- |
TGW |
g |
thousand grain mass |
counting machine Contador E (Pfeuffer) |
4 times 100 grains are counted; thousand grain mass
extrapolated after that |
- |
GRAIN_SIZE1 |
% |
percentage grain larger than 2.5 mm |
Sortimat (Pfeuffer) |
partial sample of 100g sorted/counted |
- |
GRAIN_SIZE2 |
% |
percentage grain between 2.2 and 2.5 mm |
Sortimat (Pfeuffer) |
partial sample of 100g sorted/counted |
- |
GRAIN_SIZE3 |
% |
percentage grain between 2.0 and 2.2 mm |
Sortimat (Pfeuffer) |
partial sample of 100g sorted/counted |
- |
GRAIN_SIZE4 |
% |
percentage grain between 1.8 and 2.0 mm |
Sortimat (Pfeuffer) |
partial sample of 100g sorted/counted |
- |
GRAIN_SIZE5 |
% |
percentage grain smaller than 1.8 mm |
Sortimat (Pfeuffer) |
partial sample of 100g sorted/counted |
- |
ADDITIONAL_INFO |
- |
remarks to sampling |
- |
- |
- |
Table V410_CROP_ONTOGENESIS :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2016; 2017; 2018 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2015
until 2018 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2016 Field_No =932; 2017
Field_No = 936; 2018 Field_No =938 |
- |
- |
- |
PRECROP_PLANT_SPECIES |
- |
precrops: soybean (cv) Sultana ; Lupinus luteus (cv) Probor
(after harvest lupin seeding of turnip rape; Brassica rapa
var. Rapa ( cv Buko)); buckwheat (Fagopyrum tataricum) |
- |
- |
- |
SOWING_DATE |
yyyy-mm-dd |
date of sowing oats |
- |
- |
- |
EMERGENCE_DATE |
yyyy-mm-dd |
emergence of plants |
- |
optical assessment |
- |
BEG_FLOWERING |
yyyy-mm-dd |
Beginn of flowering of plants BBCH 61 |
- |
see above |
see above |
MATURITY |
yyyy-mm-dd |
date of harvesting grains BBCH 89 |
- |
see above |
see above |
Table V410_MANAGEMENT :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
trial year 2016; 2017; 2018 |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2016
until 2018 |
- |
- |
- |
Field_NO |
- |
determined long-term number for the area; used for this
experiment in a special year; in 2016 Field_No =932; 2017
Field_No = 936; 2018 Field_No =938 |
- |
- |
- |
TILLAGE_BY |
- |
Tillage by plough, cultivator … |
- |
- |
- |
TILLAGE_DEPTH_CM |
cm |
tillage depth |
- |
- |
- |
TILLAGE_DATE |
yyyy-mm-dd |
tillage date in trial year |
- |
- |
- |
PLANT_SPECIES |
- |
plant species in Experiment were oats (covercrop) with
undersowing (mix from grases with alfalfa and red clover) |
- |
- |
- |
CULTIVAR_NAME |
- |
cultivar name of oats |
- |
- |
- |
SOWING_DATE |
yyyy-mm-dd |
sowing date of oats and undersowing |
- |
- |
- |
ROW_DISTANCE |
cm |
row distance of of oats and undersowing |
- |
- |
- |
GERMINABLE_SEED_GRAINS_QM |
germinable kernels/m2 |
seed density of oats; seeding amount
of undersowing (kg/ha) (Knaulgras (Dactylis glomerata) 1.2; Luzerne
(alfalfa; Medicago sativa)) 10.0; Rotklee (red clover;
Trifolium pratense) 5.0;
Wiesenschweidel (Festulolium) 1.2; Wiesenschwingel (Festuca pratensis) 2.4 ) |
- |
- |
- |
EMERGENCE_DATE |
yyyy-mm-dd |
emergence of plants |
- |
optical assessment |
- |
APPL_INSEK_DATE |
yyyy-mm-dd |
application insecticide |
- |
- |
- |
INSEK_TYPE |
- |
type of insecticide |
- |
- |
- |
INSEK_AMOUNT |
l/ha |
amout of insecticide |
- |
- |
- |
HARVEST_DATE |
yyyy-mm-dd |
harvest date, for oats only |
- |
- |
- |
HARVEST_ME |
- |
methode of harvest (by machine or hand) |
- |
- |
- |
ADDITIONAL_INFO |
|
remarks |
- |
- |
- |
Table V410_SOIL_H2O_NMIN_CONTENT :
Column name |
Unit |
Description |
Instrument |
Method |
Reference |
YEAR |
- |
year 2015; 2016; 2017; 2018 measurement in autumn after soybean;
buckwheat; lupine and 2016; 2017; 2018 in spring before seeding oats |
- |
- |
- |
EXP_NO |
- |
experiment number determined for that special experiment 2015
until 2018 |
- |
- |
- |
Field_NO |
- |
Field number; determined long-term number for the area; used for
this experiment in a special saison (i. g. outumn 2015 to harvest 2016;
in 2015/2016 Field_No =932; 2016/2017 Field_No = 936; 2017 /2018Field_No =938 |
- |
- |
- |
PLOT_NO |
- |
Number of single plot (without special discription) |
- |
- |
- |
IRRI_PRECROP |
- |
irrigation treatment precrop |
- |
- |
- |
REP |
- |
contraction replication number of the same treatment |
- |
- |
- |
PRECROP_PLANT_SPECIES |
- |
precrops: soybean (cv) Sultana ; Lupinus luteus (cv) Probor
(after harvest lupin seeding of turnip rape; Brassica rapa
var. Rapa ( cv Buko)); buckwheat (Fagopyrum tataricum) |
- |
- |
- |
DATE |
yyyy-mm-dd |
date of sampling |
- |
- |
- |
DEPTH |
cm |
depth of sampling (0-30; 30-60; 60-90) |
- |
- |
- |
SOIL_MOIST_MASS_PERC |
m% |
soil moisture in mass percent |
drying oven |
Gravimetry method: Weighing of a soil sample, drying at
105°C and again weighing. Calculation of the mass of
contained water, followed by calculation of volumetric
water content. |
HFA A2.1, in accordance with DIN ISO 11465 |
SOIL_MOIST_VOL_PERC |
Vol% |
soil moisture in volume percent |
calculated with bulk density 1.5 g/cm3 |
calculation |
DIN 19683 |
NH4_CONT |
mg*100g-1 |
content of NH4-Nitrogen in soil |
continuous flow analysator (CFA-SAN, Skalaranalytic GmbH) |
Extraction with KCl solution, spectrophotometry |
DIN 14256 |
NO3_CONT |
mg*100g-1 |
content of NO3-Nitrogen in soil |
see above |
see above |
DIN 14256 |
NMIN_KG_HA |
kg*ha-1 |
mineralized Nitrogen (plant available) |
Nmin=(NH4_N+NO3_N)*45 (layer 0-30; 30-60 cm ); *50 (layer
60-90 cm) |
calculation |
- |
ADDITIONAL_INFO1 |
- |
remarks on detection level of NH4 |
- |
- |
- |
ADDITIONAL_INFO2 |
- |
remarks on plots |
- |
- |
- |
View Sample Data |
V402_CROP_BIOMASS_NITROGEN
V402_CROP_ONTOGENESIS
V402_MANAGEMENT
V402_SOIL_TEXTURE
V410_CROP_BIOMASS_NITROGEN
V410_CROP_ONTOGENESIS
V410_MANAGEMENT
V410_SOIL_H2O_NMIN_CONTENT
V410_SOIL_TEXTURE
|
Download Link |
Download dataset
OR
Please send your inquiry via
email to rda@zalf.de subject DOI:
10.4228/ZALF.DK.103).
|
This data by ZALF is licensed under the Creative Commons Attribution 4.0 | |