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SCA Sampling Protocol Results: 2016

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Presentation on theme: "SCA Sampling Protocol Results: 2016"— Presentation transcript:

1 SCA Sampling Protocol Results: 2016
Tom A. Royer Oklahoma State University Sorghum – Sugarcane Aphid Research Exchange Meeting Dallas, TX January 3 – 4, 2017

2 Introduction Goals: Develop, validate and demonstrate a user-friendly, dynamic sampling tool based on seasonal and spatial distribution patterns and linked to research-based economic thresholds for sugarcane aphid in grain sorghum

3 Materials & Methods One sampling universe for every 80 acres
a field of 160 acres could be made into two fields 48 of 54 samples per field taken from 2 fully expanded leaves, one on lower 1/3, and one upper 1/3 of plant 6 plants were randomly selected for whole plant counts Design allows for analysis of variation within and between plants, within and between cells, between fields, and between states Fields classified into five growth stages Vegetative (01) Boot (02) Flowering (03) Milk (04) Soft Dough to Maturity (05) For data purposes use the closest of the five stages listed when collecting plant measure data

4 Materials & Methods

5 Data Slides A nested ANOVA was conducted on data from125 fields, representing 6750 samples from TX and OK (fields from other states have not been included yet)

6 Key Learnings Most of the variation in sampling is captured within plant samples or between the two sets of within cell samples Sampling for SCA needs to be modified based on location OK and North Texas distribution patterns saw no substantial difference in variation; data suggests that there is less need to consider edge when sampling South Texas showed evidence of a slight edge effect due to a higher % of accounted variance in the “column” category when compared to N Texas and Oklahoma.

7 Next Steps Continued field sampling for increased robustness of data and for independent validation of sampling protocol Evaluation of aphids counts on leaves within plant for most efficient estimation of aphid density

8 Collaborators Jessica Lindenmayer, Oklahoma State University***
Kristopher L. Giles, Oklahoma State University N.C. Elliott, USDA-ARS Ali Zarrabi, Oklahoma State University Mark Payton, Oklahoma State University Allan Knutson, Texas A&M Agrilife Xandra Morris, Texas A&M Agrilife Robert Bowling, Texas A&M Agrilife Michael Brewer, Texas A&M Agrilife Nick Seiter, University of Arkansas Sebe Brown, Louisiana State University Brian McCornack, Kansas State University

9 Discussion

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