This year tested the Ag Center in ways we weren’t prepared for, but it showed us how resilient we are. John’s team and the Palumbo Transition Team carried his work forward with the dedication he taught us, and Samuel and team kept the farm operating after Bert’s retirement.

And through it all, industry opened its arms to our new faculty and staff, turning what seemed like an almost impossible season into one we could navigate together.

I’m ending the year with gratitude for an IPM community that works together to keeps this program thriving.

Our next newsletter will be Jan. 7th 2026. Looking forward to what Volume 17 will bring!

To contact Macey Keith go to: maceyw@arizona.edu

In the last two issues of this UA Vegetable IPM Newsletter, I have presented a melon (Cucumis melo ‘reticulatus’ L.) crop phenology model (Figure 1; Silvertooth, 2025a) based on actual heat unit accumulations (86/55 ºF thresholds). This model can be useful in predicting and tracking crop development and identifying important stages of crop growth and development (crop phenology).

Referring to the data from AZMET for several locations in the Yuma area, the HU accumulations from 1 January 2025 for a set of four possible 2025 planting dates are listed in Table 1. The HU accumulations from 1 January 2025 to 28 April 2025 for these sites are listed in Table 2.

The HU accumulations after planting (HUAP) for these four possible planting dates for three Yuma area locations to 28 April 2025 are shown in Table 3. The HUAP values in Table 3 are simply the difference between the values in Tables 1 and 2.

An example for the Yuma Valley, 15 January 2025 planting date is: HU from 1 January to 28 April 1096 - 73 HU accumulated at planting on 15 January = 1023 HUAP for this case.

The information in Table 3 can help serve as a reference to check for melon crop
development in the field against this phenological model in Figure 1. In the most edition of this newsletter (Silvertooth, 2025b) the projected stages of growth were presented based on this phenological model and current HU accumulations.

Based on this phenology model and current HU accumulations for this season we should be able to make some projections on the current stage of growth, which we can go to the field and check. For example, for melon fields in the lower Colorado River Valley at this time, we can expect to find fields planted and watered up in mid-January to have crown set melons maturing and approaching harvest conditions. These fields could have crown fruit ready for harvesting in about three weeks, based on these projections and normal HU accumulation patterns for this time of year. For fields planted and wet dates near the first of March, these fields should have small crown set melons approaching golf ball size.

Table 1. Heat unit accumulations (86/55 ºF thresholds) after 1 January 2025 on four
possible 2025 planting dates utilizing Arizona Meteorological Network (AZMET) data for
each representative site.

Yuma Valley: https://azmet.arizona.edu/application-areas/heat-units/station-level-summaries/az02

Yuma North Gila: https://azmet.arizona.edu/application-areas/heat-units/station-level-summaries/az14

Roll: https://azmet.arizona.edu/application-areas/heat-units/station-level-summaries/az24

Table 2. Heat unit accumulations (86/55 ºF thresholds) after 1 January 2025 to 14
April 2025 utilizing Arizona Meteorological Network (AZMET) data for each
representative site.


Table 3. Heat unit accumulations (86/55 ºF thresholds) after planting (HUAP) from four
possible 2025 planting dates and three sites in the Yuma area on 30 April 2025 utilizing
Arizona Meteorological Network (AZMET) data for each representative site. Each value
is rounded to the next whole number. Note: the values in Table 3 are determined by
taking the difference between the HUs for each representative site and four planting
dates in Tables 1 and 2.


Figure 1. Melon (cantaloupe) phenological development model expressed in Heat Units
Accumulated After Planting (HUAP, 86/55 oF).

 

From the numerous samples of leaf spots submitted to the Yuma Plant Health Clinic this season high numbers of these cases have been diagnosed as Stemphylium in spinach, and cases are now increasing in onion. These trends are not unexpected given the environmental conditions that have prevailed in the region over recent weeks. The combination of warm daytime temperatures, mild nights, and extended periods of leaf wetness have created highly favorable conditions for pathogen infection, disease development, and spread across production fields in the Yuma County area.

Although Stemphylium species are generally regarded as minor or secondary pathogens in desert vegetable production systems, seasons such as this serve as an important reminder of the critical role that the environment plays in host-pathogen interactions and disease outcomes. Even pathogens that are typically of limited economic concern can emerge as significant issues when conditions align favorably, reinforcing the importance of the disease triangle as the central dogma of plant pathology and the need for continued vigilance and disease management options during atypical seasons.

It’s a good thing Jim Correll is in town to plant his annual downy mildew field trials at the Yuma Ag Center. I recently had the opportunity to meet with him in-person, and our discussions provided valuable insight into Stemphylium leaf spot development in spinach.

To date eleven species of Stemphylium have been associated with spinach tissues, meaning they’ve been isolated from spinach seed, leaves, or field residues but have not yet been demonstrated to be capable of causing disease symptoms on the live host (Spawton and du Toit, 2024). Isolation of a fungus from plant tissue alone does not confirm pathogenicity, to do so we must also demonstrate that these isolates can consistently recreate the disease symptoms seen on the original host when inoculated on a healthy host. Of those eleven species only Stemphylium beticola, S. drummondii, and S. vesicarium have been conclusively demonstrated as causal pathogens driving leaf spot of spinach in the field. This does not mean the other eight species are non-pathogenic, simply that evidence has not been provided yet that they are causal pathogens of spinach leaf spots.

Across two replicated field studies in Washington, several fungicides including Amistar, Rovral, Sovran, Pristine, and Cabrio performed significantly better than untreated controls in reducing disease severity (du Toit et al. 2004; du Toit et al. 2005). However, it is important to note that none of these products are currently registered for the control of Stemphylium leaf spot on spinach in Arizona. While Stemphylium leaf spot is typically considered to be of minor economic importance, disease-conducive seasons such as the one we are currently in highlight the ongoing need for research focused on effective, legally available management options and improved understanding of pathogen behavior under desert growing conditions.

If you have any concerns regarding the health of your plants/crops please consider submitting samples to the Yuma Plant Health Clinic for diagnostic service or booking a field visit with me:

 

Chris Detranaltes, Ph.D.
Cooperative Extension – Yuma County
Email: cdetranaltes@arizona.edu
Cell: 602-689-7328
6425 W 8th St Yuma, Arizona 85364 – Room 109

The Desert Difference: A Showcase of Ag Tech Opportunities for Growing in the Desert begins TODAY Wednesday, November 13th with a Field Demo Day at the Yuma Agricultural Center. The educational workshop will feature 13 of the latest automated and robotic technologies for pest control and improved vegetable production being demonstrated in the field. Registration begins at 7:00 am and the program starts at 7:30 am (agenda below).

The Field Demo Day is part of at wo-day event. The second day will be a standard conference with keynote speakers, breakout sessions and trade booths. The event will be held Thursday, November 14th at the Yuma Civic Center. Details of the event and Conference Day (Day 2) activities can be found here.

Looking forward to seeing everyone at both events!

Fig. 1. Field Demo Day agenda (Day 1) for The Desert Difference: A Showcase of Ag
Tech Opportunities for Growing in the Desert event. More information about the event
and Conference Day activities (Day 2) can be found here.

We are receiving some summer grass samples for identification. As you know the seedlings look very similar. 
PCAs have mentioned, and we can corroborate that some species respond differently to herbicides. As an example, we have seen that Sprangletop (Leptochloa filiformis) is not controlled with selective postemergent herbicides like Fusilade or Poast.  We have seen only good results with a high rate of clethodim (Select), and the generics off the same active ingredient. Sandbur is also tolerant to these herbicides.
These two weeds frequently come back from crowns surviving the winter which makes spring preemergence herbicides applied ineffective.
The following are common species of summer annual grass here:
 

echinochloa	water grass and barnyard grass
leptochloa	red sprangletop and mexican sprangletop
eriochloa	southwestern cupgrass and prairie cupgrass
cenchrus	field sandbur and red sandbur
setaria	green foxtail and yellow foxtail and
chloris	feather finger grass and truncate finger grass

 
 Check out the Summer Annual Grass ID publication which contains pictures and descriptive characteristics of each of these species.

As the weather gets cooler, aphids are migrating back to the desert to harm our crops. It is important to revisit some factors that may favor aphid infestations in your crops, specifically lettuce, and take appropriate action against them.  

Nitrogen availability is one of the most important factors in the development of insect pest populations. Excessive application of nitrogen fertilizer to crops will likely increase the feeding preference and consumption rate of insect pests such as aphids, resulting in greater survival, growth, and reproduction. In some situations, high nitrogen levels in plant tissue can decrease resistance and increase susceptibility to aphids’ attacks.

Water management is also very important to consider. Excess water around plant roots can increase nitrogen uptake, which may favor an increase in the aphid population. Thus, supplying proper amounts of nitrogen and water to your crops can tremendously help with aphid management. See this link for more information on this topic.

Organic farming faces two major challenges: weeds, which remain the number one concern, and insect pressures that can severely affect crop quality and yields. Effective strategies for managing weeds and insects are critical, especially as organic production expands. Traditionally, these tasks have been labor-intensive and time-consuming, creating a strong need for innovative solutions that can improve efficiency while maintaining crop standards. With the current momentum for increased AI integration into agriculture supported by both industry and Washington D.C., novel technologies AICropCAM present exciting opportunities for leafy green growers. These high-tech platforms could offer early-stage detection of weeds and insects, helping growers respond more quickly and precisely. Such innovations have the potential to save significant time and labor, particularly across large acreages, while improving overall crop management decisions.

What is AICropCAM, and How Does it Work?
AICropCAM (Figs. 1, 2, & 3) is an advanced edge image processing platform designed to extract plant and canopy features directly from field crops. Its structure includes three key layers:

• A small camera is installed in the field between healthy plants.

• It takes regular pictures and uses smart computer programs (AI) to check for anything unusual, like new weeds or early signs of insects.

• Instead of sending all the big image files, it sends only the important results through a wireless network to a central computer or to your phone or tablet.

• You can then view the results easily, saving you time and helping you make faster decisions.

One of AICropCAM’s biggest advantages is its ability to perform deep learning-based image processing directly in the field. This means it can detect subtle signs of weed emergence or insect damage in real-time, capturing critical information that traditional imaging or simple sensors often miss. Edge computing also significantly reduces the need for high-bandwidth data transmission, a major limitation in rural agricultural areas.

Looking Ahead
Incorporating AICropCAM into leafy green production systems could help growers proactively manage weeds and insect pressures, optimize resource use, reduce chemical interventions (especially important in organic systems), and save time and labor. These technologies offer a glimpse into the future of precision agriculture, where early detection and informed decision-making can significantly boost sustainability and profitability.

Figure 1 (left): AICropCAM-insect detection, Figure 2 (middle): AICropCAM-weed
detection, Figure 3 (right): AICropCAM-installed in the field.

Results of pheromone and sticky trap catches can be viewed here.

 

Corn earworm: CEW moth counts remain at low levels in all areas, well below average for this time of year.

Beet armyworm: Trap increased areawide; above average compared to previous years.

Cabbage looper:  Cabbage looper counts decreased in all areas; below average for this time of season.

Diamondback moth: DBM moth counts decreased in most areas. About average for this time of the year.

Whitefly: Adult movement beginning at low levels, average for early spring.

Thrips: Thrips adult counts reached their peak for the season. Above average compared with previous years.

Aphids:  Aphid movement decreased in all areas; below average for late-March.

Leafminers: Adults remain low in most locations, below average for March.