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1 IOWA SOYBEAN ASSOCIATION RESEARCH UPDATE Peter Kyveryga, Ph.D., Director of Analytics, Iowa Soybean Association Suzanne Fey, Data Analyst, Iowa Soybean Association Rainfall, Field Management and Soils Impact on Within-Field Profitability Profitability in crop production is largely driven by crop yield, production costs and commodity prices. Anyone in the industry is aware that much of the art of successful farming involves risk management and mitigation. Farmers have limited control over key factors that significantly drive profitability such as input costs, market prices and the weather. These are the best understood and most readily accepted aspects of risk management. Markets have not been favorable for commodities in the last four to five years. According to Iowa State University Extension and Outreach (ISUEO, 2007-2017) and the United States Department of Agriculture (USDA) National Agricultural Statistics Survey (NASS, 2018), the average corn and soybean prices in 2010-2012 generated a profit, whereas the average corn and soybean prices in 2014-2017 generated an economic loss (Figure. 1). Figure 1: Average Iowa commodity prices and input costs in corn and soybean production, 2007-2017. Quantifying the interaction between weather, crop productivity and field variability is complex (Muth, 2014; Kyveryga et al., 2012). Modern precision agricultural technologies and publicly available spatial data about weather and soils now provide information that enables focus at subfield levels (Bonner et al., 2014; Brandes et al., 2016). The impact of field management, weather and field spatial variability is often difficult to assess for individual fields or for a group of fields within a given geographic area. In this publication, profit and return on investment (ROI) maps of many farmers’ fields are used to quantify the impact of in-season rainfall and soil characteristics on within-field profitability in two Iowa landform regions. Analyzing data collectively

IOWA SOYBEAN ASSOCIATION RESEARCH UPDATE · IOWA SOYBEAN ASSOCIATION RESEARCH UPDATE Peter Kyveryga, Ph.D., Director of Analytics, Iowa Soybean Association Suzanne Fey, Data Analyst,

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Page 1: IOWA SOYBEAN ASSOCIATION RESEARCH UPDATE · IOWA SOYBEAN ASSOCIATION RESEARCH UPDATE Peter Kyveryga, Ph.D., Director of Analytics, Iowa Soybean Association Suzanne Fey, Data Analyst,

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IOWASOYBEANASSOCIATIONRESEARCHUPDATEPeterKyveryga,Ph.D.,DirectorofAnalytics,IowaSoybeanAssociationSuzanne Fey, Data Analyst, Iowa Soybean Association

Rainfall,FieldManagementandSoilsImpactonWithin-FieldProfitability

Profitabilityincropproductionislargelydrivenbycropyield,productioncostsandcommodityprices.Anyoneintheindustryisawarethatmuchoftheartofsuccessfulfarminginvolvesriskmanagementandmitigation.Farmershavelimitedcontroloverkeyfactorsthatsignificantlydriveprofitabilitysuchasinputcosts,marketpricesandtheweather.Thesearethebestunderstoodandmostreadilyacceptedaspectsofriskmanagement.

Marketshavenotbeenfavorableforcommoditiesinthelastfourtofiveyears.AccordingtoIowaStateUniversityExtensionandOutreach(ISUEO,2007-2017)andtheUnitedStatesDepartmentofAgriculture(USDA)NationalAgriculturalStatisticsSurvey(NASS,2018),theaveragecornandsoybeanpricesin2010-2012generatedaprofit,whereastheaveragecornandsoybeanpricesin2014-2017generatedaneconomicloss(Figure.1).

Figure1:AverageIowacommoditypricesandinputcostsincornandsoybeanproduction,2007-2017.

Quantifyingtheinteractionbetweenweather,cropproductivityandfieldvariabilityiscomplex(Muth,2014;Kyverygaetal.,2012).Modernprecisionagriculturaltechnologiesandpubliclyavailablespatialdataaboutweatherandsoilsnowprovideinformationthatenablesfocusatsubfieldlevels(Bonneretal.,2014;Brandesetal.,2016).Theimpactoffieldmanagement,weatherandfieldspatialvariabilityisoftendifficulttoassessforindividualfieldsorforagroupoffieldswithinagivengeographicarea.

Inthispublication,profitandreturnoninvestment(ROI)mapsofmanyfarmers’fieldsareusedtoquantifytheimpactofin-seasonrainfallandsoilcharacteristicsonwithin-fieldprofitabilityintwoIowalandformregions.

Analyzingdatacollectively

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FarmersfromCentralandNortheastIowasharedcornandsoybeanyielddatacollectedbetween2007and2014.Thedatasetcomprised380site-years-worthofyieldmapsfrom77individualfields(Figure2).Eachfieldhadatleastthreeyearsofspatialyielddata.Onaverage,fieldshadfouryearsofyielddataandsomefieldshadeightconsecutiveyearsofdata.

Figure2.Locationsof77cornandsoybeanfieldsinCentral(DesMoinesLobe)andEastern(IowanSurface)Iowausedinprofitabilityanalyses.

SpatialyielddatacollectedbyGPS-enabledyieldmonitorswereprovidedbyfarmers.Additionalinformationaboutfieldmanagement,fieldhistoryandthecroppingsystemwerecollectedaswell.Whilesomefarmersalsoprovidedfield-specificcropbudgetinformation,analysesreliedoncurrentandhistoricalcostofproductionestimates(EstimatedCostsinCropProductioninIowa,IowaStateUniversity).Theproductioncostinformationincludes,amongotheritems,thestateaveragecostforfertilizerandchemicals,planting,applicationandharvestmachinery,landrentandlabor,insuranceandloaninterest.Sincerelativewithin-fieldspatialprofitabilityremainedconstantregardlessofbudgettemplate,standardproductioncostswereemployedtoeliminatethisvariable,therebymakingdifferencesrelatedtothefactorswewerestudyingmoreapparent.

Acommercialsoftware,ProfitZoneManager(AgSolver,2015),wasusedtoproduceprofitabilityandROImaps.Standarddeviationinprofitacrossallavailableyearswascalculatedfromprofit,creatingthethreemapsinFigure3.

Inaddition,ISAdividedtheprofitabilityandROImapsinto30x30-footgridcellsandaddedfieldmanagement,landformregion,soilcharacteristicsandrainfallinformation.

SpatialdatalayersusedintheanalysesincludeSoilConditioningIndex,erosionestimates,SSURGOsoils(NRCS),elevationandslope(NationalElevationDataset)andLiDARPotholeandWetlandsimages(IowaDNR).ProfitabilityandROIrasterimageswereconvertedtovectorpointfiles.Spatialdatawereanalyzedat30x30-footresolution.Datawereresampledtomaintainconstantresolution.Monthlyrainfallvaluesfromthe4kmrainfallestimatesintheIowaEnvironmentalMesonetdatabasewereaddedtoeachfield.

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Figure3.MapsofMeanProfit,ROIandStandardDeviationofprofitacrossfouryearsforafieldincorn-soybeanrotation.

CentralIowaresults

Distributionsofwithin-fieldprofitvaluesforfieldsplantedtosoybean,cornaftersoybeanandcornaftercornfrom2008-2013indicatethatareaswitheconomiclossrangedfrom5to45percent(Figure4).Theeffectoflowgrainpricesandincreasedlandrentpricesweremorepronouncedin2013.Thehistogramsfor2009and2011showbimodaldistributionsofprofitvalues,indicatingsomeotherfactorsaffectedprofitabilityinadditiontomarketpriceandproductioncost.

Figure4.Histogramsof30x30-footprofitcellsacross52fieldsinCentralIowafrom2008-2013.Theredverticallineseparatesgridcellswithpositiveandnegativeprofit.

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ThecumulativedistributionsinFigure5indicatethatacorncropwasmorelikelytobeprofitablethansoybean,andthatthefield-levelprofitwassubstantiallyreducedinpotholeareascomparedwithuplandareas–especiallywhenspringrainfallwasexcessive.Althoughsoybeanfieldstendedtohavealowerprofit,theyalsowerelessaffectedbytheexcessiverainfallandpoorlydrainedpotholeareas.

Figure5.DistributionofprofitvaluesinpotholeanduplandareaswithincornandsoybeanfieldsofCentralIowafrom2007through2014.Theprofitgridcellswereclassifiedbasedonthespringrainfall:wet(>12inches)andnormal.Thecumulativedistributioncurvesindicatetheprobabilityofaprofitvalueatspecificvalueandbelow.Thedifferencebetweentwocategoriesissignificantiftwocumulativedistributioncurvesdonotcrosseachother.

Multivariateanalysesoffield-levelmedianprofitvaluessuggestedthatearlyseasonrainfallwasoneofthedrivingfactorsinreducingprofitabilitywithintheDesMoinesLobe(datanotshown).WitheachadditionalcmofrainfallinMayorJune,medianfieldlevelprofitwasreducedby$22to$55anacreforfieldsplantedtocorn(Figure5).AsshowninFigure6,comparedwithcorn,soybeanfieldswereunaffectedbyMayrainfallandlessaffectedbyJunerainfall.

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Figure6.EffectofMayandJunerainfallonfield-levelmedianprofitsforfieldsplantedtosoybean,cornaftersoybeanandcornaftercornwithintheDesMoinesLobelandformregion.

EasternIowaresults

SimilartoCentralIowa,analysesof25fieldswith111siteyearsofdatainEasternIowa(IowanSurface)showedthatsubstantialportions,upto50percent,hadeconomicloss,especiallyduring2013and2014(datanotshown).TheeffectofearlyseasonrainfallwasdifferentinEasternIowathaninCentralIowa.Excessivespringrainfallhadnosignificanteffectonfieldlevelprofitability(Figure7).However,fieldmedianprofitvaluestendedtoincreasewithabove-normalJulyrainfall.Thisindicatesthatsomeoftheareas(likelythosewithsandysoils)ranoutofwaterduringmidsummerandbenefitedfromadditionalrainfallinJuly.

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Figure7.Effectofspring(MarchthroughMay)andJulyrainfallonfield-levelmedianprofitsforfieldsplantedtosoybean,cornaftersoybeanandcornaftercornwithinEasternIowa.ThecumulativedistributionfunctionsofprofitvaluesinFigure8suggestthatexcessivelydrainedwithin-fieldareasinEasternIowahadlowerprofitcomparedwiththepoorlyorwelldrainedareas,exceptincornoncornfields.Somesoybeanfields,however,tendedtobemoreaffectedbysoildrainagethancornfields.

TheeffectofrainfallinEasternIowawasdifferentthaninCentralIowa.Specifically,theprofitabilityincreasedbyabout$20anacrewitheachadditionalinchofJulyrainfall.

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Figure8.Cumulativedistributionfunctionsoffield-levelprofitvaluesforexcessively,poorly,andwell-drainedareaswithinfieldsplantedtosoybean,cornaftersoybeanandcornaftercornwithinEasternIowabetween2007and2014.Analysisofspatialvariabilityinprofit,ROIorstandarddeviationvaluesacrossseveralyearssuggestthatonlyasmallpercentageofwithin-fieldvariabilitycouldbeexplainedbyspatialvariables.Forexample,inseveralfields,cornsuitabilityrating(CSR)indexexplainedabout16percentofspatialvariability,drainageexplained22percentandsoilorganicmatterexplainedabout15percentofthespatialvariabilityinEasternIowa.Soilswithhigherproductivity,higherCSRandlessexcessivedrainagetendedtohavehigherprofitabilityandROIalongwithlowerstandarddeviationvaluesthanthosefieldswithlowersoilorganicmatterandlowerproductivity.Logically,thefactthatspatialvariablescouldonlyexplainasmallpercentagewithin-fieldvariabilityinprofitcouldbetheresultoflargelyuniformtractsoflandwithinthefieldsevaluated.Fieldsselectedforin-depthspatialevaluationswerelimitedtothosewithfiveormoreyearsofspatialdata.Morestudyisrequiredtosupportthishypothesis.ConclusionIncentralIowa,potholeshadconsistentlylargereconomiclosses(15to75percent),withgreaterlossesoccurringduringawetspringwithmorethan12inchesofrainfallbetweenMarchandMay.Whilefieldsplantedtocorntendedtohavehigherprofitabilitythanthoseplantedtosoybean,thecornprofitabilitywasreducedmorebypoorsoildrainage,especiallyduringwetsprings.

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DuringanormalspringinCentralIowa,cornfieldsweremorelikelytohavealargerprofitthansoybeanfields.Forthepotholeareas,soybeanfieldswerelessnegativelyaffectedbyspringrainfallandhadlowereconomiclossesthancornfields.Therefore,soybeanislessaffectedbyexcessivemoistureandpoorlydrainedsoilswithinpotholeareas.

WithintheIowanSurface,halfofthewithin-fieldareashadeconomicloss,especiallyin2013and2014.Comparedtocorn,excessivedrainagehadapronouncednegativeeffectonwithin-fieldprofitabilityinsoybean.TheeffectofrainfallintheIowanSurfaceregionwasdifferentthanthatwithintheDesMoinesLobe.Above-normalJulyrainfalltendedtoincreaseprofitabilityincornfieldsbyabout$20anacrewitheachadditionalinchofrainfall,indicatingthatsomeoftheareas(likelysandyorexcessivelydrained)mayhaverunoutofmoistureduringmidsummer.

Thisstudyusedspatialcornandsoybeanyielddataandcropbudgetsinconjunctionwithsite-specificrainfallandsoilcharacteristicstoidentifythedegreetowhichacombinationofseveralfactorscanbeusedtohelpfarmersmakethebestland-usedecisions.Thepresentedanalysesarecriticalforguidingthedesignanddevelopmentoffurtherstudiesthatcanleadtothecreationofriskmitigationtoolsforfarmers.

WewouldliketothanktheIowafarmerswhogenerouslysharedtheirdatawithusandOn-FarmNetwork®staffwhohelpedtocollectandprocessthedata.WewouldalsoliketothankAgSolver,Inc.,Ames,Iowaforrecruitingparticipants,themassgenerationofcustomdatasets,forresponsivecustomerserviceanddeliveryonspecialrequests.

References

Brandes,E.,G.S.McNunn,L.A.Schulte,I.J.Bonner,D.J.Muth,B.A.Babcock,B.Sharma,E.A.Heaton.2016.Subfieldprofitabilityanalysisrevealsaneconomiccaseforcroplanddiversification.EnvironmentalResearchLetters,doi:10.1088/1748-9326/11/1/014009.

Bonner,I.J.,K.G,Cafferty,D.J.Muth,M.D.Tomer,E.J.James,S.A.Porter,D.Karlen.2014.Opportunitiesforenergycropproductionsbasedonsubfieldscaledistributionofprofitability.Energies,7:6509-6526.

Kyveryga,P.M.,T.M.Blackmer,P.C.Caragea.Categoricalanalysisofspatialvariabilityineconomicyieldresponseofcorntonitrogenfertilization.AgronomyJ.2011,103,796–804.

Muth,D.2014Profitabilityversusenvironmentalperformance:aretheycompeting?J.SoilWaterCons.69203a–06aa.ProfitZoneManager.2015.AgSolverInc,Ames,IA.

Thanks to Dr. Larry Hendrickson, Iowa State University, for review of this article.