Pest & Crop

Newsletter


Purdue Cooperative Extension Service

IN THIS ISSUE

Issue 20, August 10, 2017 • USDA-NIFA Extension IPM Grant




Insects, Mites, and Nematodes

Weeds

Agronomy Tips

Bits & Pieces

Weather Update

INSECTS, MITES, & NEMATODES




Little Beetles in Corn Ears (John Obermeyer) -



As folks get out to inspect corn ears, especially in northern counties where western bean cutworm was a concern, they will find “little black bugs,” especially where kernels are damaged. Their presence is in response to previous damage to kernels, which includes insect and/or bird feeding, hail, etc. In addition, hybrids with short ear husks seem to be more prone to exposing kernels, making easy access for rootworm and Japanese beetles to compromise ear tip kernels while feeding on silks. These small, opportunistic insects are feeding on decaying kernels and subsequent molds. They are simply fulfilling their niche in the cycle of life, “clean up in Aisle 3.”


Several species of small beetles found in damaged ears.

Several species of small beetles found in damaged ears.



Sap beetles and their larvae feeding on kernel goo.

Sap beetles and their larvae feeding on kernel goo.



Picnic beetle cleaning up after corn earworm feeding.

Picnic beetle cleaning up after corn earworm feeding.




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2017 Western Bean Cutworm Pheromone Trap Report(John Obermeyer) -



County Cooperator WBC Trapped
Week 1
6/22/17 - 6/28/17
Week 2
6/29/17 - 7/5/17
Week 3
7/6/17 - 7/12/17
Week 4
7/13/17 - 7/19/17
Week 5
7/20/17 - 7/26/17

Week 6

7/27/17-8/2/17

Week 6

8/3/17-8/9/17

Adams Kaminsky/New Era Ag 0 6 4 0 5 1 5
Adams Roe/Mercer Landmark 0 8 6 1 0 4 0
Allen Anderson/Syngenta Seed 0 4 26 34 14 1 0
Allen Gynn/Southwind Farms 0 8 13 15 19 2 1
Allen Kneubuhler/G&K Concepts/Harlan 0 4 13 4 0 1 3
Allen Kneubuhler/G&K Concepts/Koch 0 10 0 4 0 5 5
Bartholomew Bush/Pioneer Hybrids 0 0 0 0 0 1 1
Clay Bower/Ceres Solutions/Clay City   0 0 0      
Clay Bower/Ceres Solutions/Brazil   0 0 0      
Clinton Emanuel/Boone Co. CES 1 1 1 0 1 5 2
Clinton Foster/Purdue Entomology 0 0 2 1 1 0 0
DeKalb Hoffman/ATA Solutions     87 174 167 18 4
Dubois Eck/Purdue CES 0 1 0 0 1 1 0
Elkhart Kauffman/Crop Tech Inc.   35 156 150 95 3 4
Fayette Schelle/Falmouth Farm Supply Inc. 1 1 0 0 0    
Fountain Mroczkiewicz/Syngenta 41 31 14 4 0 1 1
Fulton Jenkins/N. Central Coop/Talma 379 385 167 76 5 0 0
Fulton Ranstead/N. Central Coop/Rochester     309 46 15 3  
Gibson Schmitz/Gibson Co. CES 0 0 2 0 0 2 0
Hamilton Campbell/Beck's Hybrids 3 2 2 2 0 0  
Hendricks Nicholson/Nicholson Consulting 0 1 1 1 2 0  
Jasper Overstreet/Purdue CES 438 410 304 237 103 0 0
Jasper Ritter/Brodbeck Seeds 302 171 124 97 14 5 2
Jay Boyer/Davis PAC 5 1 0 3 1 2 0
Jay Shrack/Ran Del Agri Services 0 0 0 1 1 0 0
Jay Temple/Jay County CES/Pennville 0 1 3 2 0 2 2
Jay Temple/Jay County CES/Redkey 3 4 7 2 0 1 0
Jennings Bauerle/SEPAC 0 0 0 1 0 0 0
Knox Bower/Ceres Solutions/Vincennes   0 0 0      
Knox Bower/Ceres Solutions/Freelandville   0 0        
Kosciusko Klotz/Etna Green 75 112 92 46   19 3
Lake Kleine/Kleine Farms 0 4 41 11 0 19 7
Lake Moyer/Dekalb Hybrids, Shelby 157 108 63 16 20 7 0
Lake Moyer/Dekalb Hybrids, Schneider 246 151 101 93 63 1 0
LaPorte Rocke/Agri-Mgmt Solutions, Wanatah 120 122 321 138 10 18 2
LaPorte Smith/Co-Alliance/LaPorte 0 11 29 22 7 7 1
LaPorte Smith/Co-Alliance/Fish Lake 6 20 109 107 115 72 7
LaPorte Smith/Co-Alliance/Union Mills 15 19 122 100 40 24 5
LaPorte Smith/Co-Alliance/LaCrosse 35 149 337 112 17 9 4
Marshall Harrell/Harrell Ag Services   4 118 149 6 0  
Marshall Klotz/SR 10 & SR 331 29 81 130 90 13 2 2
Marshall Miller/North Central Coop     48 43 10    
Miami Early/Pioneer Hybrids 189 216 140 154 9 3  
Newton Moyer/Dekalb Hybrids, Lake Village 16 139 262 193 32 9 5
Porter Leuck/PPAC 11 17 335 287 68 4 1
Pulaski Capouch/M&R Ag Services 42 49 94 50 20 4  
Pulaski Leman/North Central Coop 4 22 34        
Putnam Nicholson/Nicholson Consulting 0 2 0 0 0 1 1
Randolph Boyer/DPAC 2 2 3 0 4 0 0
Rush Schelle/Falmouth Farm Supply Inc.   0 0 0 0    
Shelby Fisher/Shelby Co. Co-Op 0 0 0 0 0 1 0
Shelby Simpson/Simpson Farms 4 5 2 0 0 0 4
Starke Capouch/M&R Ag Services 0 184 246 10 7 2  
Starke David Wickert/Wickert Consulting 5 28 21 10 4 2 2
Starke Larry Wickert/Wickert Consulting 136 292 185 16 4 8 1
St. Joseph Barry/Helena 3 28 108 56 26 5 5
St. Joseph Gary Battles 1 12 16 16 10 0 0
St. Joseph Carbiener/Union Twp. 0 11 50 19 7 0 0
St. Joseph Smith/Co-Alliance/Granger 7 46 87 69 95 95 36
St. Joseph Smith/Co-Alliance/New Carlisle 0 3 69 93 109 100 23
Sullivan Bower/Ceres Solutions/Farmersburg   0 0 0      
Tippecanoe Bower/Ceres Solutions/Sullivan   0 8 0      
Tippecanoe Bower/Ceres Solutions/Lafayette   15 25 24      
Tippecanoe Nagel/Ceres Solutions 1 1 6 1 0 0 0
Tippecanoe Obermeyer/Purdue Entomology 0 0 0 0 0 0 0
Tippecanoe Westerfeld/Monsanto 2 3 0 0 2 4 1
Tipton Campbell/Beck's Hybrids 0 2 0 0 0 0  
Vermillion Bower/Ceres Solutions/Clinton   0 0 0      
Wabash Enyeart/North Central Coop 1 10 15   4    
Whitley Richards/NEPAC 23 70 39 13 5 1 0
Whitley Richards/NEPAC     182 101 23 6 2

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2017 Corn Earworm Pheromone Trap Report (John Obermeyer) -




Corn Earworm Trap Report

Corn Earworm Trap Report



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WEEDS




Response of Roundup Ready Soybean Yield to Dicamba Exposure (Joe Ikley and Bill Johnson) -



As the number of off-target dicamba injury complaints continue to roll in, one question that we often get asked is “how will this injury affect my yield”. A few weeks ago we posted a manuscript from one of our former graduate students Andy Robinson that directly addressed this question. The purpose of this article is summarize this into a more user friendly format to share our experiences with plant injury response and measurable yield components when non-Xtend soybean are exposed to low levels of dicamba.

There are a number of research papers published on this topic dating back to the 1960’s.  Most of this early work showed that it was difficult to find a reliable early-season measurement that predicted yield loss. A few of the authors found that height reduction was a somewhat reliable indicator of yield loss, but the amount of yield loss varied quite a bit from experiment to experiment.  We initiated this research in 2009 in anticipation of the issues that cropped up this year and wanted to be able to provide some insight into yield response of newer soybean varieties.

In this study we applied 8 different rates of dicamba, ranging from 1/10,000X to 1/25X of the 0.5 lb per acre labeled use rate (12.8 oz/A of Engenia or 22 oz/A of Xtendimax/Fexapan). These treatments were applied either at the V2, V5, or R2 growth stage. This would simulate a single exposure of soybean to dicamba at the respective growth stages.  Visual injury ratings on a scale of 0 to 100% (0% = no injury, 100% = complete plant death) were taken 14 and 28 says after treatment, and plots were taken to yield. The data collected from these treatments were then used to model the effective dose of dicamba to cause various levels of injury and yield loss. We conducted this research in 2009 and 2010 at these sites for a total of 3 site years.

Figure 1 shows the level of injury 28 days after treatment for 1/2,500X, 1/1,000X, and 1/500X of the 0.5 lb per acre rates labelled for in-crop use on Xtend soybean. Our models revealed that the rates required to cause 20% visual injury ranged from 1/1563X to 1/410X rate of dicamba. Dicamba doses of 1/250X or greater rate caused apical meristem death (which we assigned a visual injury rating of 50%). Plants exposed to these higher rates would branch at the cotyledon or unifoliate node and begin regrowth from these or multiple lower nodes. In addition to visual symptoms, we saw a 10% reduction in plant height from dicamba doses of 1/1000X to 1/254X.

In this study there was a difference in the dicamba rate that caused 10% yield loss at our different site years. In 2009, our TPAC location experienced dry conditions during key reproductive growth stages from July through September (2.75 inches of rain over those 3 months). Under these drought conditions, the dicamba rate that caused 10% yield loss was 1/3333X. At our other site year locations, we received twice the rainfall amounts from the July through September (5.25” over those three months). At these locations, the rate that caused 10% yield loss ranged from 1/1064X to 1/510X. This difference highlights why many academics are concerned over claims of negligible yield loss after off-target injury. Our research shows that adverse weather conditions during reproductive growth stages can result in yield losses from dicamba exposure 5-7 times lower than in years where we received adequate moisture during this crucial period. Making such statements about yield in June and early July is simply hard to predict without knowing the weather for the rest of the growing season.

We were able to estimate the amount of yield loss based on our visual injury estimate at 14 and 28 days after application. We saw a 10% yield loss when plants sprayed at V2 showed 20% visual injury at 14 and 28 days after treatment. Plants at V5 and R2 growth stage lost 10% of their yield when injury was rated at 30%. Once injury over 40% was observed, there was a much sharper rate in lost yield for soybean in V5 or R2 growth stage than in the V2 growth stage. 

While we were able to predict yield loss based on injury, we realize that this may not be the most consistent method to predict yield loss due to 2 factors. First is the subjectivity of visual injury ratings. The second issue with estimating yield loss based on visual injury in commercial fields is that we often don’t know when the dicamba exposure event occurred. Depending on environmental conditions and soybean growth stage, it could take between 7 and 21 days for injury symptoms to occur. Without knowing the exact date of dicamba exposure, yield predictions can vary from the regression model used in this study.

The published manuscript can be accessed at: https://www.researchgate.net/publication/275700911_Response_of_Glyphosate-Tolerant_Soybean_Yield_Components_to_Dicamba_Exposure


Figure 1. Visual injury symptoms of dicamba 28 days after treatment. Dicamba rate, application timing, and injury rating are included in each box.

Figure 1. Visual injury symptoms of dicamba 28 days after treatment. Dicamba rate, application timing, and injury rating are included in each box.





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Agronomy Tips




Kernel Set Scuttlebutt(Bob Nielsen) -



"Scuttlebutt": The cask of drinking water on ships was called a scuttlebutt and since sailors exchanged gossip when they gathered at the scuttlebutt for a drink of water, scuttlebutt became U.S. Navy slang for gossip or rumors. A butt was a wooden cask, which held water or other liquids; to scuttle is to drill a hole, as for tapping a cask. Nautical Terms and Phrases, NAVAL HISTORICAL CENTER, Washington DC 20374-5060. Online at www.ussbrainedd630.com/terms.htm [URL accessed Aug 2017].

The post-pollination scuttlebutt overheard in coffee shops throughout Indiana during late summer often revolves around the potential for severe stress that might reduce kernel set or kernel size in neighborhood cornfields. Growers' interest in this topic obviously lies with the fact that the number of kernels per ear is a rather important component of total grain yield per acre for corn.

Poor kernel set, meaning an unacceptably low kernel number per ear, is not surprising in fields that are obviously severely stressed by drought, but can also occur in fields that otherwise appear to be in good shape. Good or poor kernel set is determined from pollination through the early stages of kernel development; typically 2 to 3 weeks after pollination is complete.


Poor kernel set due to unsuccessful fertilization of ovules by pollen.

Poor kernel set due to unsuccessful fertilization of ovules by pollen.



Poor kernel set due to unsuccessful fertilization of ovules by pollen.

Poor kernel set due to unsuccessful fertilization of ovules by pollen.


Problems with kernel set stem from ineffective pollination, ineffective fertilization of the ovaries, kernel abortion, or all three. Distinguishing the symptoms is easy. Determining the exact cause of the problem is sometimes difficult.

Potential Yield Loss

The potential loss in grain yield caused by lower kernel numbers per ear can be estimated using the formula of the so-called Yield Component Method first described by the Univ. of Illinois many years ago (Nafziger, 2017; Nielsen, 2016b). For example, the loss of only 1 kernel per row for a hybrid with 16-row ears and a stand count of 30,000 ears per acre would equal a potential yield loss of approximately 5 bushels per acre (1 [kernel] x 16 [rows] x 30 [thousand ears per acre] divided by 90 [thousand kernels per bushel]).

Ineffective Pollination / Fertilization

Poor kernel set may be caused by ineffective pollination (the transfer of pollen from the tassel to the silks) and/or the subsequent failure of the pollen's male gametes to fertilize the female gametes of the ovules on the cob. Ineffective pollination is characterized by an absence of noticeable kernel development. In other words, all you see is cob tissue. Pollination problems may be due to several stress factors, sometimes working together to influence kernel set.

Severe drought stress, aggravated by excessive heat, can delay silk emergence to the extent that pollen shed is complete or nearly complete by the time the silks finally emerge from the husk. Without a pollen source, ovule fertilization cannot occur.

Persistent severe silk clipping by insects such as the corn rootworm beetle or Japanese beetle throughout the active pollen shed period can also limit the success of pollination. The simultaneous effects of severe drought stress on silk emergence can easily amplify the consequences of severe silk clipping.


Western corn rootworm beetles feeding on silks.

Western corn rootworm beetles feeding on silks.



Incomplete tip fill on an unusually long ear likely due to lack of pollen when tip silks finally emerged.

Incomplete tip fill on an unusually long ear likely due to lack of pollen when tip silks finally emerged.



Combination of pollination failure and kernel abortion.

Combination of pollination failure and kernel abortion.



Severe drought stress coupled with excessive heat and low humidity can desiccate emerged silks to the point that they are no longer receptive to pollen grain germination. I suspect this is low on the list of possible stressors for Indiana most years (because of our typically high humidity levels), but may play a role in some fields once in a while. Similarly, I doubt that pollen viability is usually an issue for Indiana cornfields because temperatures in the low 90's are usually not great enough to kill pollen.

Consecutive days of persistent rainfall or showers that keep tassels wet for many hours per day over several days can delay or interfere with anther exsertion and pollen shed. Such a weather period does not typically occur in Indiana, but the remnants of Hurricane Dennis that visited many parts of Indiana in early July of 2005 may have influenced kernel set in some fields that were trying to pollinate during that week as a result of the many days of showery humid weather (coupled with the excessive cloudiness and its negative effect on photosynthesis).

Exceptionally long potential ears resulting from good weather during ear size determination sometimes fail to pollinate the final kernels near the tip of the cob. Remember, butt silks emerge first and tip silks emerge last. With oversized ears, sometimes tip silks emerge after all the pollen has been shed.

An increasingly common hybrid trait in recent years is an aggressive silking habit that results in silks emerging from the husk leaves several days prior to the availability of pollen from the tassels. The trait is associated with drought tolerance in the sense that silk emergence delays are less likely under severe drought stress and, thus, silk/pollen synchrony is better retained. However, favorable weather during silk elongation tends to favor unusually early silk appearance that can result in silk aging / deterioration prior to the availability of pollen. The typical kernel set pattern associated with this situation is blank cob tissue near the basal end of the cobs.

Kernel Abortion

Poor kernel set can also be a reflection of kernel abortion following successful fertilization of the ovules on the cob. In contrast to ineffective pollination or fertilization, initial kernel development obviously precedes kernel abortion, so the symptoms are usually shriveled remnants of kernels that may be whitish- or yellowish-translucent.

Kernel abortion results from severe stresses that greatly reduce the overall photosynthetic output of the plant during the first several weeks after the end of pollination as the kernels develop through the blister (R2) and milk (R3) stages of development. The risk of kernel abortion decreases significantly after the R3 stage of kernel development. Obvious photosynthetic stressors include severe drought & heat stress, consecutive days of excessively cloudy weather and significant loss of photosynthetically active leaf area (e.g., hail damage, leaf diseases, insect damage, nutrient deficiency).

Warm nights during pollination and early grain fill may indirectly affect survival of developing kernels. Research suggests that the increased rate of kernel development due to warmer temperatures lowers the available amount of photosynthate per unit of thermal time; which then becomes a stressor to kernel development particularly at the tip of the ear, leading to kernel abortion (Cantarero et al., 1999).

Final Food for Thought

A plethora (meaning a whole lot) of blank cob tips can quickly ruin the joy of walking a cornfield in the middle of August. Before getting too bent out of shape over the missing kernels, remember to count the number of harvestable kernels on those ears. Sometimes, ears exhibit 1 to 2 inches of blank tips; yet still contain 16 rows by 30 to 35 harvestable kernels per row. Those are perfectly acceptable ear sizes in a year where dry weather has been a concern.

Related References

Cantarero, M.G., A.G. Cirilo, and F.H. Andrade. 1999. Night temperature at silking affects kernel set in maize. Crop Sci 39:703-710.

Nafziger, Emerson. 2017. Corn, in the Illinois Agronomy Handbook. http://extension.cropsciences.illinois.edu/handbook/ [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2011. The "Zipper" Pattern of Poor Kernel Set in Corn. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/Zipper.html [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2013. Effects of Stress During Grain Filling in Corn. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/GrainFillStress.html [URL accessed Aug 2013].

Nielsen, R.L. (Bob). 2016a. A Fast & Accurate "Pregnancy" Test for Corn. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/EarShake.html [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016b. Estimating Corn Grain Yield Prior to Harvest. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/YldEstMethod.html [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016c. Grain Fill Stages in Corn. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/GrainFill.html [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016e. Silk Emergence. Corny News Network, Purdue Univ. Available http://www.kingcorn.org/news/timeless/Silks.html [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016e. Tassel Emergence & Pollen Shed. Corny News Network, Purdue Univ. http://www.kingcorn.org/news/timeless/Tassels.html [URL accessed Aug 2017].





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Brief Update on Indiana Corn Crop Conditions (Bob Nielsen) -



A rough start to the growing season put Indiana's corn crop behind the proverbial 8-ball from the beginning, due to the weather- and disease-driven challenges to germination, emergence, and early establishment of the young plants. Many fields were replanted, fully or partially, in an attempt to get out from behind the 8-ball. However, frequent and excessive rains on poorly drained soils "put the damper" on many of those attempts and many fields remain rife with blank "wet holes" or stunted, uneven corn plant development throughout.

Consequently, the percentage of the 2017 Indiana corn crop rated as good to excellent (the highest two crop condition categories) hovered in the high 40's for nine straight weeks (Fig. 1) and only recently "improved" up to the low 50's with the most recent USDA-NASS crop progress report. Nine straight weeks of such low statewide crop condition is not without precedent, but you have to go back 21 years (1996) to find a similar early-season stretch of poor crop condition ratings. Statewide corn yields that year subsequently averaged about 7% below the historical trend yield.

Fortunately, the 2017 weather conditions during the important pollination and early kernel set period were mostly favorable and kernel numbers per ear in fields I have walked recently appear to be generally acceptable. Plant health relative to diseases is relatively good, though common rust is indeed common this year and reports have trickled in regarding early onset of southern corn rust in the southern third of the state. Weather conditions from here forward will determine whether these foliar diseases become pervasive and serious. Some fields exhibit noticeable late-season nitrogen deficiency, though often primarily in areas of fields that are also severely stunted by earlier periods of excessive water.

As of Sunday, 6 Aug, nearly 50% of the state's corn crop had reached the dough stage of kernel development or beyond and some was reported to be in the dent stage (USDA-NASS, 2017). At dough stage of development, only 40 to 50 percent of the final grain yield has been determined and so the next 30 to 45 days are important for determining the remainder of the final grain yield. Moderate rainfall and slightly cooler than normal temperatures from here on out would be beneficial for improving the yield prospects of the 2017 corn crop.

Given the current, somewhat average, pace of crop development, the bulk of the state corn crop will likely reach physiological maturity and be safe from fall freeze events from mid-Sept through early October. Such timing of maturity would be about on par with the most recent 5-year average and well ahead of usual occurrences of fall frosts or killing freezes.

Once kernel development reaches the dent stage (Nielsen, 2016b), growers can begin to sample ears, count kernels, and estimate grain yield (Nielsen, 2016a). The accuracy of such yield estimates rely on number of ear samples collected and areas of field sampled. While sampling, be on the lookout for the potential development of ear rots (Woloshuk, 2009, 2010. Frequent rains during pollination tend to favor the infection of silks by many of the causal ear rot fungi. Send samples of infested ears to Purdue's Plant and Pest Diagnostic Laboratory to confirm the specific ear rot disease (PPDL, 2017).

Between now and harvest, growers should continue to walk fields and scout for the onset of stalk rot diseases (Freije et al., 2016), especially in those fields that experience severe stress during these next 30 to 45 days. Send samples of stalk rot to Purdue's Plant and Pest Diagnostic Laboratory to confirm the specific ear rot disease (PPDL, 2017). Access to aerial imagery can aid the identification of problem areas within fields and help target areas to inspect more closely. Fields that develop significant levels of stalk rot should be targeted for earlier harvest to avoid the headaches of harvesting "weak-knee'd" corn plants that could be lying on the ground.


Fig. 1. Seasonal Indiana Corn Crop Condition Ratings (percent

Fig. 1. Seasonal Indiana Corn Crop Condition Ratings (percent "good" to "excellent") for Select Years.


Related references

Freije, Anna, Bob Nielsen, Kiersten Wise. 2016. Stalk Rots of Corn. Purdue Extension Pub. #BP-89-W, Purdue Univ, West Lafayette, IN. https://www.extension.purdue.edu/extmedia/BP/BP-89-W.pdf [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016a. Estimating Corn Grain Yield Prior to Harvest. Corny News Network, Purdue Univ. Extension. https://www.agry.purdue.edu/ext/corn/news/timeless/YldEstMethod.html. [URL accessed Aug 2017].

Nielsen, R.L. (Bob). 2016b. Grain Fill Stages in Corn. Corny News Network, Purdue Univ. Extension. https://www.agry.purdue.edu/ext/corn/news/timeless/GrainFill.html. [URL accessed Aug 2017].

PPDL. 2017. Submit-A-Sample. Purdue Plant and Pest Diagnostic Laboratory. https://ag.purdue.edu/btny/ppdl/Pages/Submit-A-Sample.aspx. [URL accessed Aug 2017].

USDA-NASS. 2017. Crop Progress. USDA Nat'l Agricultural Statistics Service. http://usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID=1048 [URL accessed Aug 2017].

Wise, Kiersten. 2010. Common and Southern Rusts (Corn). Purdue Extension Pub. #BP-82-W, Purdue Univ, West Lafayette, IN. https://www.extension.purdue.edu/extmedia/BP/BP-82-W.pdf [URL accessed Aug 2017].

Woloshuk, Charles and Kiersten Wise. 2009. Diplodia Ear Rot of Corn. Purdue Extension Pub. #BP-75-W, Purdue Univ, West Lafayette, IN. http://www.extension.purdue.edu/extmedia/BP/BP-75-W.pdf. [URL accessed Aug 2017].

Woloshuk, Charles and Kiersten Wise. 2010. Gebberella Ear Rot of Corn. Purdue Extension Pub. #BP-77-W, Purdue Univ, West Lafayette, IN. http://www.extension.purdue.edu/extmedia/BP/BP-77-W.pdf. [URL accessed Aug 2017].



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Bits & Pieces




2017 Agronomy Field Day at ACRE(Agronomy Department) -



Save the date for the 2017 Agronomy Field Day at ACRE!

September 7, 2017 - 7:30 a.m. to 2 p.m. at the Agronomy Center for Research & Education - (4540 U.S. 52 W, West Laf., IN 47906)

Farmers trying to balance weak crop prices and rising input costs can learn more about farm financial fitness at this years Agronomy Field Day @ ACRE sponsored by Purdue Extension, the Purdue Department of Agronomy, the Indiana Soybean Alliance and the Indiana Corn Marketing Council.


Agronomy Field Day Flyer.

Agronomy Field Day at ACRE Sept. 7, 2017 .




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WEATHER UPDATE




Precipitation



total precipitation


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Temperature



average temperature

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THANKS FOR READING




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