uid=KBS,o=lter,dc=ecoinformatics,dc=orgalluid=sbohm,o=lter,dc=ecoinformatics,dc=orgallpublicreadhttps://lter.kbs.msu.edu/datasets/61.emlNicholasHaddadMichigan State University

3700 E Gull Lake DriveHickory Corners49060US

haddad@kbs.msu.edu0000-0002-1591-9322AlexandraKravchenkoMichigan State University

East LansingMI48824US

(517) 355-0271 x1241kravche1@msu.edu0000-0001-5920-927XG.RobertsonMichigan State University

3700 East Gull Lake DriveHickory CornersMI49060US

(269) 760-8364(269)671-2351robert30@msu.edu0000-0001-9771-9895JamesBronsonMichigan State University

3700 E. Gull Lake DriveHickory CornersMI49060

269-671-5117"bronson@kbs.msu.eduprincipal contactG.RobertsonMichigan State University

3700 East Gull Lake DriveHickory CornersMI49060US

(269) 760-8364(269)671-2351robert30@msu.edu0000-0001-9771-9895original investigatorBrookWilkeMichigan State University

Hickory CornersMichigan49060US

(269) 671-2242wilkebro@msu.edu0000-0001-6746-5206principal contactSvenBohmMichigan State University

3700 East Gull Lake DriveHickory CornersMI49060US

(269) 205-3821(269 )671-2333bohms@ideomatic.dev0000-0002-6224-7848principal contact2026-10-05

original data source http://lter.kbs.msu.edu/datasets/61

LTERKBSKellogg Biological StationHickory CornersMichiganGreat LakesbiomassprimaryproductionagricultureyieldPrimary ProductionDisturbanceLTER Core Research Areasoybean yield corn wheat agriculturefarmingbiotahttps://apps.usgs.gov/thesaurus/thesaurus-full.php?thcode=15Data in the KBS LTER core database may not be published without written permission of the lead investigator or project director. These restrictions are intended mainly to preserve the primary investigators' rights to first publication and to ensure that data users are aware of the limitations that may be associated with any specific data set. These restrictions apply to both the baseline data set and to the data sets associated with specific LTER-supported subprojects.All publications of KBS data and images must acknowledge KBS LTER support.The areas around the Kellogg Biological Station in southwest Michigan-85.404699-85.36685742.42026542.3910192006-01-012012-11-02Kellogg Biological StationData Managerlter.data.manager@kbs.msu.eduhttp://lter.kbs.msu.edu02vkce854KBS LTERSampling Frequency: minimum of once per year Harvestable biomass in each cropped plot is measured at the time of crop harvest. For grains, the agricultural grain harvester is fitted with a GPS-referenced yield monitoring system to provide yield maps for each 1 ha treatment plot. Additionally, grain is off-loaded into weigh wagons and weighed at the KBS dairy . Alfalfa and wheat straw is measured on a gravimetric basis per plot after it has been cut and baled. Gravimetric moisture content is measured and subtracted from the biomass and the harvestable biomass estimate presented as dry weight alfalfa or straw per area.Data Managerhttp://lter.kbs.msu.edu/protocols/29Agronomic yields are defined as the crop grain and non-grain biomass harvested in a given growing cycle and serve as the basic measurement for comparing production differences among treatments. For annual row-cropping systems of corn, soybean and wheat, yield is determined as the grain biomass collected during harvest; for annual sorghum, yield is determined as the non-grain biomass harvested. For perennial crops, including monoculture systems, such as switchgrass and miscanthus, and polyculture systems that are harvested annually, such as restored prairie, native grasses,and early successional (GLBRC only), yield is determined as the biomass harvested at the end of the growing season. For alfalfa, harvested several times per year, yield is the sum of biomass harvested over the growing season. For woody cropping systems of short-rotation poplar, annual yield is determined as the biomass collected at clear-cutting divided by the number of years of growth. Crops are harvested using commercial sized equipment; for the specific harvesters and equipment used see the Agronomic Activity Report (KBS004-012) or search the Ag-log at https://aglog.kbs.msu.edu/ for Harvest under the Observations tab. Data Managerhttp://lter.kbs.msu.edu/protocols/194programNational Science Foundationhttp://dx.doi.org/10.13039/100000001DEB 2224712https%3A%2F%2Fnsf.gov%2Fawardsearch%2FshowAward%3FAWD_ID%3D2224712%26HistoricalAwards%3Dfalsehttps://lter.kbs.msu.edu/datatables/145Kellogg Biological Station LTER: Agronomic Yields (KBS056-001)Agronomic grain yields of corn, soybean, and wheat harvests, reported at standard moisture, from the commercially managed fields of the MCSE Scale-up Experiment.Agronomic+Yields.csvNone271\ncolumn,no"\https://lter.kbs.msu.edu/datatables/145.csvfield_idKBS field idKBS field idtreatmentMCSE treatmentMCSE treatmentreplicatereplicate fieldreplicate fieldyearcrop yearYYYY11987-4-18cropcrop plantedcrop plantedacressize of the fieldacre0.1realbu_acreyield in bu/acre at standard moisture (13% for soybean and wheat, 15.5% for corn)bushelPerAcrerealmt_haMetric Tonne per hectare (Mg/ha, based on 1 bushel wheat or soybeans = 60 lbs and 1 bushel corn = 56 lbs)tonnePerHectarerealhttps://lter.kbs.msu.edu/datatables/163Kellogg Biological Station LTER: Geo-referenced Agronomic Yields – Processed (KBS056-002)Geo-referenced grain yields of corn, soybean and wheat from the commercially managed fields of the MCSE Scale-up Experiment as calculated by the John Deere Ag Office software and exported as shapefiles. Data were collected using the GPS yield monitor on the LTER combine.Geo-referenced+Agronomic+Yields+–+Procesed.csvNone251\ncolumn,no"\https://lter.kbs.msu.edu/datatables/163.csveastingeasting in UTM16Nmeterrealnorthingnorthing in UTM16NmeterrealSpeciescrop growncrop grownyieldyield in bu/acrebushelPerAcrerealmoisturegrain moisture measured by the grain flow sensorgramsPerHectogramrealyearharvest yearYYYY11987-4-18https://lter.kbs.msu.edu/datatables/297Kellogg Biological Station LTER: Geo-referenced Agronomic Yields – Raw Data (KBS056-003)Raw data on geo-referenced grain yields of corn, soybean, and wheat from the commercially managed fields of the MCSE Scale-up Experiment as collected by the GPS yield monitor on the LTER combine.Geo-referenced+Agronomic+Yields+–+Raw+Data.csvNone331\ncolumn,no"\https://lter.kbs.msu.edu/datatables/297.csvlongitudelongitude in decimal degreesdegreereallatitudelatitude in decimal degreesdegreerealcrop_flow_lb_sgrain flow rate in lb/secondspoundsPerSecondrealdatetimedate and time the sample was collectedYYYY-MM-DD hh:mm:ss11987-4-18duration_smeasurement durationsecondintegerDistance_indistance traveled by the combine in inchesinchrealSwth_wdth_inswath width of the combine headinchrealMoisturegrain moisture in percentgramsPerGramrealstatusstatus of the grain head whether it up or downstatus of the grain head whether it up or downpass_numnumber of the passnumberintegerSerial_numserial number of the GPS unitserial number of the GPS unitFieldfield IDfield IDProductcrop harvestedcrop harvestedElevation_ftelevation in feetfootrealhttps://lter.kbs.msu.edu/datatables/251Kellogg Biological Station LTER: Wheat Straw Yields (KBS056-004)Wheat straw yields from fields of the MCSE Scale-up Experiment under Conventional management (T1), reported as dry matter.Wheat+Straw+Yields.csvNone271\ncolumn,no"\https://lter.kbs.msu.edu/datatables/251.csvField_IDThe kbs field number of the plotThe kbs field number of the plotTreatmentThe LTER Treatment assigned to this plotThe LTER Treatment assigned to this plotReplicateThe field replicate assigned to this plotThe field replicate assigned to this plotYearThe year of the crop harvestYYYY11987-4-18CropThe crop harvestedThe crop harvestedAcresThe size of the field in acresacrerealTons_AcreThe straw yield in tons/acretonsPerAcrerealFractionThe part of the plan that was measuredThe part of the plan that was measuredhttps://lter.kbs.msu.edu/datatables/391Kellogg Biological Station LTER: Geo-referenced Agronomic Yields – Cleaned Data (KBS056-005)Cleaned data on geo-referenced grain yields of corn, soybean, and wheat from the commercially managed fields of the MCSE Scale-up Experiment, as collected by the GPS yield monitor on the LTER combine. The cleaning procedure removes all data collected when the combine header is up.Geo-referenced+Agronomic+Yields+–+Cleaned+Data.csvNone331\ncolumn,no"\https://lter.kbs.msu.edu/datatables/391.csvlongitudelongitude in decimal degreesdegreereallatitudelatitude in decimal degreesdegreerealcrop_flow_lb_sgrain flow rate in lb/secondspoundsPerSecondrealdatetimedate and time the sample was collectedYYYY-MM-DD hh:mm:ss11987-4-18duration_sdurationsecondrealdistance_indistance traveled by the combine in inchesinchrealswth_wdth_inswath width of the combine headinchrealmoisturegrain moisture in percentgramsPerGramrealstatusstatus of the grain head whether it up or downstatus of the grain head whether it up or downpass_numnumber of the passnumberintegerserial_numserial number of the GPS unitserial number of the GPS unitfieldfield IDfield IDproductcrop harvestedcrop harvestedelevation_ftelevation_in_feetfootrealhttps://lter.kbs.msu.edu/datatables/254Kellogg Biological Station LTER: Crop in Rotation by Field (KBS065-003)A list of the crop grown by year for each field of the MCSE Scale-up Experiment. Each management treatment (T1, T3, T4) had three field replicates with each entry point in the corn-soybean-wheat rotation represented for a total of 3x3x3=27 fields.Crop+in+Rotation+by+Field.csvNone241\ncolumn,no"\https://lter.kbs.msu.edu/datatables/254.csvField_idfield IDfield IDTreatmentThe LTER treatment appliedThe LTER treatment appliedReplicateThe experimental replicateThe experimental replicateSpeciesThe crop grownThe crop grownYearThe crop yearThe crop year@article{citation_3585, author = {Alexandra N Kravchenko and Sieglinde S Snapp and G Philip Robertson}, title = {Field-scale experiments reveal persistent yield gaps in low-input and organic cropping systems}, year = {2017}, journal = {Proceedings of the National Academy of Sciences USA}, pages = {926-931}, volume = {114}, number = {5}, doi = {10.1073/pnas.1612311114} } @data{citation_3696, author = {A N Kravchenko and S S Snapp and G Philip Robertson}, title = {Data from: Field-scale experiments reveal persistent yield gaps in low-input and organic cropping systems}, year = {2017}, journal = {Dryad Digital Repository}, volume = {https://doi.org/10.5061/dryad.gh90f5f}, doi = {10.5061/dryad.gh90f5f} }