. 2019 Jul 18;14(7):e0220014. doi: 10.1371/journal.pone.0220014

Table 5. Log-logistic model parameters estimates and standard errors for waterhemp biomass reduction as influenced by downwind distance for each nozzle*herbicide combinations tested in the spray particle drift study^a ^b.

Nozzle^c	Herbicide	Log-logistic model parameters^d
Nozzle^c	Herbicide	b	d (%)	e (m)
TP95015EVS	Glyphosate	1.92 ± 0.38	91.04 ± 4.00	7.71 ± 0.69
	2,4-D	1.28 ± 0.17	96.79 ± 4.58	4.04 ± 0.45
	Dicamba	1.07 ± 0.16	90.32 ± 4.87	4.10 ± 0.59
AI95015EVS	Glyphosate	2.44 ± 0.33	98.18 ± 4.24	2.75 ± 0.16
	2,4-D	0.83 ± 0.14	87.96 ± 4.93	2.48 ± 0.43
	Dicamba	0.61 ± 0.12	90.80 ± 5.04	1.91 ± 0.46

^aGlyphosate solution had the addition of ammonium sulfate solution at 5% v/v (Bronc^®, Wilbur-Ellis Agribusiness, Aurora, CO, USA).

^bBiomass reduction as compared to the untreated control.

^cTeeJet Technologies, Spraying Systems Co., Glendale Heights, IL.

^dc parameter (lower limit) fixed to 0%; b parameter corresponds to the slope at the inflection point; d parameter corresponds to the upper limit, e parameter corresponds to the distance to 50% biomass reduction.

Table 5. Log-logistic model parameters estimates and standard errors for waterhemp biomass reduction as influenced by downwind distance for each nozzle*herbicide combinations tested in the spray particle drift studyab.

Table 5. Log-logistic model parameters estimates and standard errors for waterhemp biomass reduction as influenced by downwind distance for each nozzle*herbicide combinations tested in the spray particle drift study^a ^b.