Agronomy Journal Journal of Natural Resources and Life Sciences Education
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Spatial Analysis of Cranberry Yield at Three Scales

Larisa Pozdnyakovaa, Daniel Giménezb,* and Peter V. Oudemansa

a P.E. Marucci Center for Blue/Cranberry Res. and Ext., Rutgers Univ., 125A Lake Oswego Rd., Chatsworth, NJ 08019-2006
b Dep. of Environ. Sciences, Rutgers Univ., New Brunswick, NJ



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Fig. 1. Major part of the study area near Chatsworth, NJ. Total yield for entire fields was used to evaluate large scale variability. Shaded are 21 fields with dense sampling to account for within field variability (medium scale).

 


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Fig. 2. Example of the fit of the log <|ZxZx+h|q> vs. log (h) for different q, data for small scale yield variability.

 


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Fig. 3. Histogram of cranberry yield data for the small scale variation.

 


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Fig. 4. Semivariogram of cranberry yield at the small scale.

 


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Fig. 5. Semivariogram of cranberry yield at the large scale.

 



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Fig. 6. Semivariograms of cranberry yield in Field 31 (see Fig. 1) sampled with (a) 148 wide spaced points and (b) for 723 wide and close sampled points combined.

 


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Fig. 7. Structure functions {zeta}(q) of cranberry yield at small, medium (all fields combined), and large scales.

 



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Fig. 8. Structure functions {zeta}(q) for the medium scale variability: (a) fields with short range (Srt_Rng) semivariograms combined, (b) fields with long range (Lng_Rng) semivariograms combined.

 





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