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During the last two years of observations the hedgerows were maintained by lateral pruning and topping at the same row width (1 m) and height (2.5 m).

The experiment was conducted as a split split plot design based on complete blocks with two methods of residue management (burning or non-burning of barley residue) as the main plot factor, three tillage methods (plow + disk, double disk and no-tillage) as sub-plot factor, and three within row plant spacings (4, 8 and 12 cm, with 50 cm row width) as sub-subplot factor.

The final inoculum density in soil within the sowing row was 1 × 109 CFU kg−1 soil DM (15 kg soil DM m−1 furrow; 10 cm row width; and 10 cm row depth, soil bulk density 1.5 g cm−3), which was about ten times higher the inoculum density (10 cm depth) if the inoculum was evenly applied over the entire plot area (0.13 × 109 CFU kg−1).

Indeed, in that case, there are many new factors that would be necessary to be taken into account such as the effects of site latitude, planting density, row width and azimuth.

Sensor type 4,000 was used, which has 572 sensing elements on a surface of 28 × 33 mm (62 sensing elements per cm2), and a column and row width of 1.27 mm.

The following configurations were used for imaging the test object and anthropomorphic phantom: 64 × 0.5 mm (number of active detector rows × detector row width), rotation time 0.5 s and pitch factor 0.823.

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The first experiment, which was carried out during the 2013 and 2014 season, evaluated the effects of 4 growing plant densities (from 7.5 to 12 plants m−2) combined with 2 row widths (the traditional 0.75 m and a narrow inter-row spacing of 0.50 m) on plant architecture and grain yield.

Estimation from VAT sampling using the original formula showed promise as a low-labor assessment method by producing highly accurate estimates (<1.5% absolute relative bias) when strip transects of two row-widths were searched to the 4th or 5th damaged plant.

We fully enumerated all damaged corn plants in a field to assess accuracy of sampling by small quadrats 5 m long by one or two row-widths, and by VAT sampling with searches from random starting points to the 3rd, 4th, 5th, and 6th damaged plant.

Variables that contribute most to inter-habitat variation are: breadth of skull at preorbital processes, palatal notch – incisors, length of upper postcanine row, rostral width, gnathion – posterior border of preorbital process and palatal breadth.

In addition, we observed a clear reduction in second row stereocilia widths measured between P8 to P11 in Myo15 ΔN/ΔN IHCs.

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