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• W3207212995 abstract "Cereal rye (Secale cereale, L., CR) is the most commonly utilized cover cropspecies within the United States. Yet, the total land area planted to CR on anannual basis remains relatively low despite its numerous proven environmentalbenefits. The relatively low rates of CR adoption could be due to a dearth ofknowledge surrounding certain agronomic and economic components of CR adoption.Currently, there exists knowledge gaps within the scientific literatureregarding CR performance, N cycling, and associated economic risk. Thus, to address the above-mentioned knowledge gaps, threeindividual studies were developed to: i) investigate the fate of scavenged CRnitrogen (N) amongst soil N pools, ii) assess the suitability ofvisible-spectrum vegetation indices (VIs) to predict CR biomass and nutrientaccumulation (BiNA), and iii) characterize the economic risk of CR adoption ata regional scale over time.In the firststudy, 15N, a stable isotope of N, was used in an aerobic incubationto track the fate of CR root and shoot N among the soil microbial biomass,inorganic, and organic N pools, as well as explore CR N bioavailability over asimulated corn growing season. In this study, the C:N ratio of the shootresidues was 16:1 and the roots was 31:1 and differences in residue quality affected the dynamics of CR Nrelease from each residue type. On average, 14% of whole plant CR N wasrecovered in the soil inorganic N pool at the final sample date.Correspondingly, at the final sampling date 53%, 33%, and less than 1% of whole plant CR N wasrecovered as soil organic N, undecomposed residue, and as microbial biomass N,respectively. Most CR N remained unavailable to plants during the first cashcrop growing season subsequent to termination. This knowledge could support theadvancement of N fertilizer management strategies for cropping systemscontaining cereal rye.In the secondstudy, a commercially available unmanned aerial vehicle (UAV) outfitted with astandard RGB sensor was used to collect aerial imagery of growing CR from whichvisible-spectrum VIs were computed. Computed VIs were then coupled with weatherand geographic data using linear multiple regression to produce predictionmodels for CR biomass, carbon (C), N, phosphorus (P), potassium (K), and sulfur(S). Five visible-spectrum VIs (Visible Atmospherically Resistant Index (VARI),Green Leaf Index (GLI), Modified Green Red Vegetation Index (MGRVI), Red GreenBlue Vegetation Index (RGBVI), and Excess of Green (ExG)) were evaluated andthe results determined that MGRVI was the best predictor for CR biomass, C, K,and S and that RGBVI was the best predictor for CR N and P. Furthermore, thefinal prediction models for the VIs selected as the best predictors developedin this study performed satisfactorily in the prediction of CR biomass, C, N,P, K, and S producing adjusted R2 values of 0.79, 0.79, 0.75, 0.81,0.81, and 0.78, respectively. The results of this study have the potential toaid producers in making informed decisions regarding CR and fertilitymanagement. In the finalstudy, agronomic data for corn and soybean cropping systems with and without CRwas collected from six states (Illinois, Indiana, Iowa, Minnesota, Missouri,and Wisconsin) and used within a Monte-Carlo stochastic simulation tocharacterize the economic risk of adopting CR at a regional scale over time.The results of this study indicate that average net returns to CR are alwaysnegative regardless of CR tenure primarily due to added costs and increasedvariability in cash crop grain yields associated with CR adoption. Further, theresults demonstrate that the additional risk assumed by adopting CR is not adequatelycompensated for with current CR adoption incentive programs and that the riskpremium necessary can be 1.7 to 15 times greater than existing incentivepayments. Knowledge gained from this study could be used to reimagine currentincentive programs to further promote adoption of CR." @default.
• W3207212995 created "2021-10-25" @default.
• W3207212995 creator A5017052095 @default.
• W3207212995 date "2021-07-30" @default.
• W3207212995 modified "2023-09-23" @default.
• W3207212995 title "A CHARACTERIZATION OF CEREAL RYE COVER CROP PERFORMANCE, NITROGEN CYCLING, AND ASSOCIATED ECONOMIC RISK WITHIN REGENERATIVE CROPPING SYSTEMS" @default.
• W3207212995 doi "https://doi.org/10.25394/pgs.15081360.v1" @default.
• W3207212995 hasPublicationYear "2021" @default.
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