XO2282E

Relative Maturity: Group 2.2

More product information on the XITAVO^® website

From 22 locations

Yield	Value per Acre	% Win	Test Weight	Moisture %
74.8	$972.23	0%	56.5	10.8%

Location	Plot Season	Yield	% of Trial Mean	Value per Acre	Test Weight	Moisture %	Irrigated	Soil Type
Berlin,WI	2022	78.5	100%	$1,020.39	58.6	12.5%	No	Fine
Chilton,WI	2022	78.2	104%	$1,016.19	57.1	13.8%	No	Fine
Emmetsburg,IA	2022	66.1	99%	$859.65	55.8	7.7%	No	Medium
Fennimore,WI	2022	90.6	108%	$1,178.04	56.6	12.4%	No	Medium
Gagetown,MI	2022	69	97%	$896.51	59.5	10.8%	No	Medium
Gothenburg,NE	2022	87.1	102%	$1,132.03	55.6	8.0%	Yes	Medium
Hamilton,MI	2022	82	103%	$1,066.32	58.5	9.8%	Yes	Coarse
Hitchcock,SD	2022	49.2	92%	$639.02	57.2	9.3%	No	Medium
Janesville,WI	2022	74.5	102%	$968.01	55.7	12.6%	No	Medium
Lakevermillion,SD	2022	56.4	111%	$733.78	57.1	10.4%	No	Medium
Lesueur,MN	2022	75.3	103%	$978.27	54.5	11.5%	No	Fine
Menomonie,WI	2022	85.4	100%	$1,109.70	58.2	11.4%	Yes	Coarse
Minneota,MN	2022	72.7	99%	$945.37	56.8	9.9%	No	Fine
Pierre,SD	2022	66.1	99%	$859.25	56.6	11.3%	No	Medium
Rudd,IA	2022	87.3	100%	$1,135.38	55.6	9.1%	No	Medium
Sheldon,IA	2022	70.5	96%	$916.08	54.2	9.5%	No	Fine
Truman,MN	2022	88.9	97%	$1,155.62	56.1	12.0%	No	Fine
Vincent,IA	2022	73.2	104%	$951.83	55.6	9.8%	No	Fine
Wabasso,MN	2022	62.5	96%	$812.30	54.4	12.9%	No	Fine
Wanamingo,MN	2022	79	102%	$1,027.12	56.8	10.0%	No	Medium
Westsalem,WI	2022	78.2	106%	$1,016.26	57.4	12.8%	No	Medium
Worthington,MN	2022	74.8	101%	$972.04	56.1	9.4%	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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