b'on-farmyieldvariability.Remote potato yield prediction. The potato gle hills were planted at the NCROCsensingtechnologieshavedemon- yield map created in this study indi- and selected using visual selection.stratedahighercapabilityofcrop cated that potato tuber yield variedhealth monitoring and yield predic- significantlywithinacommercial EvaluatingBruisingInStoragetion. Particularly, multiple temporal field(from295cwt/acto940 AmongNewFresh-MarketAndremote sensing monitoring at criti- cwt/ac).Thespatialyieldpatterns Processing Varieties.cal growth stages across the whole were related to the early season or Dr. Darrin Haagenson, USDA/ARSgrowing season can uniquely offer lateseasonremotesensingimages East Grand Forks, Minnesotamore real-time information of yield and field topography. More studiesformationprocessesandidentify will be conducted to improve pota- Pressure bruise susceptibility in stor-the temporal limiting factors. Small toyieldpredictionusingremote agewasassessedamongseveralplotexperimentsinvolvingdiffer- sensing images, soil and landscape fresh market and processing clones.ent cultivars and nitrogen (N) rates variables,andpossiblymanage- Includedinthisevaluationwerewere conducted in 2018 and 2019, ment information, as well as grow- severaladvancedpublicbreedingandunmannedaerialvehicle ers harvested total yield data. linesandcommercialchecksfor(UAV)-based remote sensing images comparison. A hydraulic press sim-werecollectedacrossthegrowing UMNPotatoBreedingProgram ulatedpileheight,andwaterlossseason.In2020,twocommercial 2020 andbruiseincidencewasassessedfieldswereselectedforthestudy, Dr. Laura Shannon, UMN after six months of storage. Varietaland satellite remote sensing images differences in water loss and bruis-wereobtainedacrossthegrowing Dr. Laura Shannon gave an update ing were detected among fresh mar-season.ontheUniversityofMinnesota ket and dual market russet varieties,Potato Breeding Program. Her group butnodifferencesinchippotatoPreliminaryanalysisdemonstrated isdevelopinggermplasmas bruising or chip quality were detect-the potential of using remote sens- tetraploidsanddiploids.Theyare edfromchipfieldsevaluatedining images to predict potato tuber trying to move through the cycle of 2020.yieldandgeneratepotentialyield breeding more quickly by utilizing amaps.Ingeneral,remotesensing genomicselectioncycle.Diploid ScreeningCoverCropsForMan-imagesattheearlyseason(late potatoes would be much faster and aging The Root-lesion Nematode,June) or late season (late August or developinginbred-hybridbreeding Praty-lenchus PenetransearlySeptember)weremorecorre- program could increase yield like in Dr.GuipingYan,Dr.Kamallated with potato tuber yield than corn.In2020,weplanted23,621 Neupane,andDr.AddisonimagescollectedinJulyandearly singlehills,someofwhichwere Plaisance, NDSUAugust. However, the best perform- from our crossing block and othersingvegetationindexandthebest of which were provided to us by col- Root-lesionnematode,timingforpotatoyieldprediction laboratorsatNorthDakotaState Pratylenchuspenetrans,isoneofvaried with cultivar. Using machine University,UniversityofMaine, most important nematode pests oflearningmodels(randomforest ColoradoStateUniversity,and potato,causingsignificantyieldregression (RFR) and support vector TexasA&M.Ofthesinglehills loss. Additionally, the association ofmachine (SVM)) to combine differ- planted, 42% were russet, 19% were this nematode species with second-ent vegetation indices could signifi- chips, 15% were yellow, 15% were ary pathogens causes more expand-cantlyimprovetheaccuracyof specialty, and 6% were red. All sin- edseveritytopotatoplantsandMARCH 2021 POTATO GROWER 23'