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Title:   Author  item
                                            Spokas, Kurtitem
                                            Forcella, Frankitem
                                            Peterson, Deanitem
                                            Archer, Daviditem
                                            Reicosky, Donald
  Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 11/6/2005
                                    Publication  Date: 11/6/2005
                                    Citation: Spokas, K.A., Forcella, F., Peterson, D.H., Archer, D.W., Reicosky, D.C. 2005. Seedchaser: Tillage model for vertical weed seed distribution [abstract][CD-ROM]. ASA-CSSA-SSSA Annual Meeting Abstracts. ASA-CSSA-SSSA Annual Meeting. Nov. 6-10, 2005, Salt Lake City, UT.Interpretive Summary:
                                Technical Abstract: Knowledge of the vertical distribution of surface residues, chemicals, or seeds following tillage operations is of paramount importance to a wide variety of soil research areas. This paper describes a 1-D empirical vertical soil tillage particle distribution model with 1 cm grid spacing. Prior models have only examined the impact of a limited list of implements and used coarser vertical spacings. We accounted for horizontal movement and its implication on vertical distribution on selected tillage implements where horizontal movement has been observed to be significant. The model predicts the vertical distribution of weed seeds following a user-selectable sequence of tillage cycles. Results of this model are particularly suited for weed seedling emergence modeling. However, the model can be easily adapted to any surface broadcasted and/or incorporated agrochemical. The present model can handle up to nine passes with a user-selected sequence of implements. This developed model consolidates the results from previous literature models along with new data on conservation tillage and planting implements into a prediction tool that would have applications both in weed science, as well as other soil research areas. This model was developed in JAVA and is publicly available via the internet.


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