XO2613E

Relative Maturity: Group 2.6

More product information on the XITAVO^® website

From 22 locations

Yield	Value per Acre	% Win	Test Weight	Moisture %
71.1	$924.65	0%	56.7	11.0%

Location	Plot Season	Yield	% of Trial Mean	Value per Acre	Test Weight	Moisture %	Irrigated	Soil Type
Attica,OH	2023	89	101%	$1,156.52	56.1	11.4%	No	Medium
Beaverdam,WI	2023	79.4	96%	$1,032.64	56.1	10.9%	No	Fine
Burlington,CO	2023	48.8	92%	$634.87	55.6	7.5%	Yes	Medium
Cambridge,NE	2023	78.2	99%	$1,016.52	56.5	9.5%	Yes	Medium
Emmetsburg,IA	2023	65.4	92%	$850.07	56.2	12.3%	No	Medium
Fennimore,WI	2023	73.3	98%	$952.90	57.9	10.7%	No	Medium
Gothenburg,NE	2023	72.5	92%	$941.96	56.6	9.6%	Yes	Medium
Greeley,NE	2023	79.7	98%	$1,035.92	57.3	7.4%	Yes	Coarse
Hamilton,MI	2023	79.6	111%	$1,034.78	54.2	14.5%	Yes	Coarse
Janesville,WI	2023	78.5	94%	$1,020.30	57.6	13.0%	No	Medium
Jesup,IA	2023	74.2	103%	$964.56	57	9.0%	No	Medium
Kellogg,IA	2023	84.6	105%	$1,099.85	56.4	9.1%	No	Medium
Lakevermillion,SD	2023	50.3	92%	$653.94	59.4	11.1%	No	Medium
Nofolk,NE	2023	64.3	92%	$836.14	56.1	15.1%	Yes	Medium
Perrysville,IN	2023	85	96%	$1,105.23	57.1	8.8%	No	Medium
Princeton,IL	2023	67.9	101%	$883.16	54.5	12.2%	No	Medium
Rudd,IA	2023	65.1	102%	$846.35	55.5	10.3%	No	Medium
Sandwich,IL	2023	63.8	104%	$830.01	54.7	13.5%	No	Medium
Sheldon,IA	2023	66.7	95%	$867.69	59.7	11.0%	No	Fine
Truman,MN	2023	70.5	99%	$916.85	56.8	12.0%	No	Fine
Vincent,IA	2023	62.5	93%	$812.41	57.3	12.3%	No	Fine
Worthington,MN	2023	65.4	94%	$849.63	59.2	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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