AG28XF3

Relative Maturity: Group 2.8

More product information on the Asgrow^® website

From 22 locations

Yield	Value per Acre	% Win	Test Weight	Moisture %
76.6	$995.31	0%	56.1	10.5%

Location	Plot Season	Yield	% of Trial Mean	Value per Acre	Test Weight	Moisture %	Irrigated	Soil Type
Attica,OH	2023	91.8	109%	$1,193.86	57	11.2%	No	Medium
Bruning,NE	2023	76.4	96%	$993.32	55.6	9.3%	Yes	Medium
Burlington,CO	2023	60.8	105%	$789.83	56	6.3%	Yes	Medium
Cambridge,NE	2023	90.4	101%	$1,175.78	56.5	7.9%	Yes	Medium
Coshocton,OH	2023	103.6	108%	$1,347.34	58.2	9.6%	No	Medium
Emmetsburg,IA	2023	76.5	107%	$994.10	56	11.7%	No	Medium
Fennimore,WI	2023	78.1	112%	$1,015.91	57.2	10.9%	No	Medium
Gothenburg,NE	2023	86.7	102%	$1,127.20	56.2	9.7%	Yes	Medium
Hamilton,MI	2023	77.8	108%	$1,011.85	56.1	14.3%	Yes	Coarse
Janesville,WI	2023	78.6	100%	$1,022.13	58.3	13.0%	No	Medium
Jesup,IA	2023	73	105%	$949.48	56	8.5%	No	Medium
Kellogg,IA	2023	86	106%	$1,118.42	56.2	8.7%	No	Medium
Nofolk,NE	2023	72.2	99%	$938.65	56.5	14.1%	Yes	Medium
Perrysville,IN	2023	95.4	104%	$1,240.21	57.1	8.5%	No	Medium
Princeton,IL	2023	74	105%	$962.45	54.6	11.0%	No	Medium
Raymond,NE	2023	56.1	99%	$729.35	53.3	10.6%	Yes	Medium
Rudd,IA	2023	53.8	91%	$698.79	55.8	9.9%	No	Medium
Sandwich,IL	2023	61.5	93%	$799.54	55.1	12.6%	No	Medium
Seymour,IN	2023	72.1	101%	$937.52	57	9.5%	No	Coarse
Villisca,IA	2023	66.3	102%	$862.03	55.2	10.2%	No	Fine
Vincent,IA	2023	73.6	108%	$956.62	55.5	11.6%	No	Fine
Washington,IA	2023	79.4	101%	$1,032.57	55.6	12.0%	No	Fine

Because of factors outside of Winfield Solutions, LLC's control, results to be obtained, including but not limited to yields, financial performance, profits, losses or otherwise, cannot be predicted or guaranteed by Winfield Solutions, LLC.
Results are generated from field observations and may change as additional data is gathered. Crop results are dependent on the impact of many factors beyond the control of WinField United including without limitation, reduced performance due to weather, soil variations and may even reflect differences in agronomic practices. Growers should evaluate data from multiple locations and years whenever possible.
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