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Field Reports On Crops

Nathan Mueller, Extension Educator in Dodge County

Most corn is in the milk to dough stage across the county with replanted corn silking. Our current GDDs suggest a freeze is a real concern in our replanted corn crop. On August 11, I did two in-field yield estimates of irrigated corn in the northwest and central part of the county resulting in 235 and 239 bu/ac, assuming 75,000 kernels/bu. Four dryland fields in the same areas were estimated at 170, 180, 205, and 210 bu/ac, assuming 80,000 kernels/bu. These yields are very similar to current yield forecasts by the Hybrid Maize Model simulations for Concord. There has been some questions as to why not use the old fudge factor of 90,000 kernels/bu. The kernel weight from several corn fields in Dodge County over the past few years have been much heavier, ranging from 72,000 to 85,000 kernels/bu, which is similar to a recent report on kernel weight by Bob Nielson, Purdue University agronomist.

Soybean aphids on soybean leaves, Dodge County

Figure 1. Soybean aphid populations are growing in some fields this week with the cool weather. (Photo by Nathan Mueller)

Soybeans are in the R5 to R5.5 stage while replanted soybeans are setting pods, R3. The lack of below normal rainfall in late July and early August is showing up through visible drought stress on dryland soybeans this week. Soybean aphid populations have been low, but increasing in frequency and population in fields over the last week (Figure 1). Growers in the area should be scouting their fields to determine aphid populations, especially on replanted fields.

Source : unl.edu


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Designing a Robotic Berry Picker

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Since blackberries must be harvested by hand, the process is time-consuming and labor-intensive. To support a growing blackberry industry in Arkansas, food science associate professor Renee Threlfall is collaborating with mechanical engineering assistant professor Anthony Gunderman to develop a mechanical harvesting system. Most recently, the team designed a device to measure the force needed to pick a blackberry without damaging it. The data from this device will help inform the next stage of development and move the team closer to the goal of a fully autonomous robotic berry picker. The device was developed by Gunderman, with Yue Chen, a former U of A professor now at Georgia Tech, and Jeremy Collins, then a U of A undergraduate engineering student. To determine the force needed to pick blackberries without damage, the engineers worked with Threlfall and Andrea Myers, then a graduate student.