AG26XF3

Relative Maturity: Group 2.6

More product information on the Asgrow^® website

From 22 locations

Yield	Value per Acre	% Win	Test Weight	Moisture %
72.1	$937.30	0%	56.5	10.8%

Location	Plot Season	Yield	% of Trial Mean	Value per Acre	Test Weight	Moisture %	Irrigated	Soil Type
Attica,OH	2023	88.2	100%	$1,146.43	56.7	11.2%	No	Medium
Beaverdam,WI	2023	79.5	96%	$1,033.28	57	10.8%	No	Fine
Burlington,CO	2023	47.3	89%	$614.67	55.8	7.4%	Yes	Medium
Cambridge,NE	2023	80.3	102%	$1,043.37	56	8.8%	Yes	Medium
Emmetsburg,IA	2023	70.9	99%	$922.35	55.9	12.2%	No	Medium
Fennimore,WI	2023	77.6	104%	$1,008.62	57.2	10.5%	No	Medium
Gothenburg,NE	2023	76.8	98%	$998.47	56.7	9.1%	Yes	Medium
Greeley,NE	2023	80.3	99%	$1,044.34	56.9	7.6%	Yes	Coarse
Hamilton,MI	2023	71.5	100%	$929.99	54.1	14.6%	Yes	Coarse
Janesville,WI	2023	80.6	96%	$1,047.90	57.6	12.8%	No	Medium
Jesup,IA	2023	72.9	101%	$948.31	55.2	8.7%	No	Medium
Kellogg,IA	2023	80.6	100%	$1,047.84	55.3	8.9%	No	Medium
Lakevermillion,SD	2023	56.6	104%	$736.31	59.3	10.4%	No	Medium
Nofolk,NE	2023	66.1	94%	$859.21	56	15.0%	Yes	Medium
Perrysville,IN	2023	91.8	103%	$1,193.15	56.4	9.1%	No	Medium
Princeton,IL	2023	71.2	106%	$926.19	54.9	11.9%	No	Medium
Rudd,IA	2023	63.8	100%	$829.51	55.5	10.1%	No	Medium
Sandwich,IL	2023	63.6	103%	$827.34	55	13.5%	No	Medium
Sheldon,IA	2023	67.8	97%	$880.81	59.6	10.9%	No	Fine
Truman,MN	2023	63.5	89%	$825.12	55.7	12.2%	No	Fine
Vincent,IA	2023	69.1	103%	$897.95	57	11.5%	No	Fine
Worthington,MN	2023	66.1	95%	$859.42	58.6	10.6%	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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