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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
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