Source: KAIROSYS INC. submitted to NRP
DEVELOPMENT OF GROWER APPLICABLE ALFALFA LEAFCUTTING BEE INCUBATION PROTOCOLS TO EXTEND INTERRUPTION DURATION FOR IMPROVED POLLINATION MANAGEMENT THAT IMPROVES SEED YIELD AND BEE HEALTH
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1009471
Grant No.
2016-33610-25370
Cumulative Award Amt.
$98,124.00
Proposal No.
2016-00752
Multistate No.
(N/A)
Project Start Date
Aug 15, 2016
Project End Date
Apr 14, 2017
Grant Year
2016
Program Code
[8.12]- Small and Mid-Size Farms
Recipient Organization
KAIROSYS INC.
16645 PLUM RD
CALDWELL,ID 83607
Performing Department
(N/A)
Non Technical Summary
The purpose of this proposal is to improve the protocols of incubation interruption of Alfalfa Leafcutting Bees (ALBs) used in the managed pollination of alfalfa seed crop. An efficient alfalfa pollination management program coordinates bee release with bloom onset while minimizing residual pesticide hazard. Our customer feedback suggests that this approach may increase yield up to 100% for growers while contributing to better bee health and productivity.Once ALB incubation is initiated, growers have a short window to interrupt the incubation without significant bee mortality. Incorrect incubation interruption adversely affects bee longevity and vigor, as well as crop yields.Our research seeks to extrapolate lab proven research on extended incubation interruption to work for a range of lower precision incubators in the field. Our goal is to develop field applicable protocols to deliver the incubation precision and flexibility growers need to respond to changing environmental conditions and release bees in multiple batches which has been observed by agronomists to increase yield.This research will form the backbone of a decision support system through which growers will have access to real-time ALB life-cycle management tools in response to their input of changing field conditions. Through a smartphone application, they will be able to quickly ascertain the optimal duration and conditions to interrupt incubation and stage bee release. This will help growers better manage risks to bee health and crop yield.
Animal Health Component
50%
Research Effort Categories
Basic
25%
Applied
50%
Developmental
25%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
6015330202030%
3153090113030%
3073090106040%
Goals / Objectives
This research seeks to set in place an improved pollination management protocol using advancedincubation interruption techniques to synchronize bee release with adequate forage, optimalweather and low pesticide exposure. With this information easily accessed through smartphoneapps, growers will be better equipped to address the following decisions;- When should bees be released for optimal pollination and bee recovery?- Should bee incubation be paused? If so, when and for how long?- How many bees should be released?- Should bees be released in one batch or several batches?TECHNICAL OBJECTIVESDuring Phase I (including internal development)- Increase precision of bee emergence and mortality data of pre- and near-emergence bees exposed to incubation interruption- Understand the practical incubation control operational windows by simulating commercial farm incubator conditions- Hardware and Software field-testing of incubation monitoring system (Internal Funds)Technical Questions to be addressed during Phase I:What is the smallest and largest emergence delay that can be reliably achieved byincubation interruption without significant loss of bees?How does the heat generated by bees during incubation impact bee emergence?Can commercial incubators take advantage of latest developments in incubationinterruption research?Proposed During Phase II (including internal development)Assess the impact of multistage bee release on bee recovery and crop yieldAssess the impact of delayed introduction of bee recovery and crop yieldAssess the impact on next generation brood health by controlled exposure studies to prebloom and post-bloom pesticide applicationsDesign and field test cloud based incubator monitoring system (hardware and software)Incorporating Phase I findings (Internal Funds)
Project Methods
The primary method and process employed is to extend latest incubation research to field level conditions. Certain important objectives will be completed concurrently with internal funds to supplement gaps in funding from NIFA. Moreover, certain tasks associated will be initiated prior to the proposed June 1 funding date using internal funds. ALBs will be purchased as loose cells containing prepupae. Overwintering is typically done at 4-5ºC and, upon receipt, the bees will continue to be stored at this temperature range in a dark chamber. Outgoing bees will be inspected for chalkbrood or other issues prior to shipment. If required, X-ray inspection of a subsample of 500-1000 prepupal cells will be conducted to determine % mortality prior to incubation.Objective 1 Increase precision of bee emergence and mortality data of pre- and near emergence bees exposed to incubation interruption. Custom trays will be designed to fit in the existing environmental chambers available for use at the USDA ARS Pollinating Insects Research Unit. In order to optimize the number of chambers used for the factorial experiments, each of the trays will be divided into 25 sub-sections using close-fitting wire baskets for easy transportation between test incubators.Incubation will be conducted in environmental chambers with an accuracy of +/-0.5ºC. The bees will be incubated in a tray representative of those in use by growers/managers on the farm/facility. Previous studies of incubation interruption were conducted in the laboratory with cells kept as individuals so that, compared to conditions in trays with thousands of bee cells several inches deep, the temperature distribution is more uniform and the metabolic heat generated by the bees do not sufficiently alter the Degree Day accumulation. In commercial incubators, this metabolic heat can add variability to bee emergence.For each chamber, 50000 cells will be divided into 25 equal subsamples for incubation interruption temperature treatments. Each 2000-cell subsample will be subjected to different durations of incubation interruption (0, 1, 3, 7, and 14 calendar days) starting on a different calendar day of incubation (14, 15, 16, 17, and 18 days from incubation start). Incubation of all the subsamples will continue at the standard 30ºC temperature typically used in grower incubators. All bees will be allowed to progress in their development up to the 14th day after incubation started.We will use three chambers, with a capacity to hold 5 trays each, maintained at 30ºC, 30ºC and 18ºC respectively for these experiments. Yocum et.al. (2010) showed that of their three interruption temperature treatments of 6ºC, 12ºC, and 18ºC, storage at 18ºC did not increase bee mortality. Therefore, this temperature will be used for the interruption cycle. All "0" day delay cohorts will be controls and receive no incubation interruption, but in order to account for the disturbance of bee cells during incubation, these controls will be moved to the alternate 30ºC chamber and replaced by a similar subsample on the same day their treatment row dictates. The control subsample will remain in the alternate 30ºC chamber for 3 days before being switched back to the original incubator.For any given treatment day and duration, the designated treatment subsample will be moved from the original 30ºC chamber to the 18ºC chamber, and a replacement subsample from the alternate 30ºC will hold its place in the original incubator until the treatment subsample is returned. Therefore, all subsamples will continue to be surrounded by other bee cells kept under similar conditions with similar levels of generated metabolic heat.The smallest incubation delay that can be achieved will depend on when that delay is requested. For example, a delay of one day from the predicted emergence date can be more easily achieved if incubation was interrupted on day 14 versus day 18. A difference of standard deviation of the emergence of each cohort with the corresponding control cohort will be generated. If this metric is less than 5%, the corresponding delay is deemed to be achievable. A mortality metric will be used to determine the largest feasible incubation delay. If the female mortality rate is no higher than 3% of the corresponding control cohort then the corresponding delay is deemed to be achievable.Objective 2 - Understand the practical incubation control operational windows by simulating commercial farm incubator conditionsObjective 1 experiments do not account for potential variations in temperatures of all materials on the farm or bee management facility. To simulate the effect of this variation on bee emergence, we will conduct controlled temperature ramping (up and down) experiments.Simulated and actual temperature measurements of variations in commercial incubators will be determined, as the thermostat is changed from 6ºC to 30ºC for incubation start, from 30ºC to 18ºC for interruption cooling, and from 18ºC to 30ºC for resuming incubation. This information will be used to set the parameters for temperature ramping experiments.In the laboratory at Pollination Insects Research Unit (PIRU), a cohort of 10,000 bee cells will be subjected to five different pairs of ramping temperature regimens for incubation interruption. All cells will be subjected to the same regimens for incubation start ramping from 6ºC to 30ºC in 2 hours . For interruption, ramping will begin at day 16 and, once steady state temperature of 18ºC is attained, it will be held for 6 days before ramping back to 30ºC. Two precision control chambers will be used for conducting these experiments.It is expected that the effects of variations in accumulated Degree Days due to ramp down to 18ºC could be reversed partially by ramp up to 30ºC. Variation will be caused by the incubation start ramp up from 6ºC to 30ºC. Mean and standard deviation differences in bee emergence rate and survivability will be compared to a similar cohort in the incubation interruption experiments. Changes greater than 5% will be considered significant differences attributable to the temperature ramp up and ramp down.

Progress 08/15/16 to 04/14/17

Outputs
Target Audience:1. Alfalfa Grower Community: 2 Growers in Canyon County, ID where we placed our hardware through the season; Focus group of growers for the demonstration of our software application for incubation monitoring 2. Alfalfa seed companies: S&W seed company where we placed our hardware and collaborated on the development of our product 3. USDA and University Researchers: Dr. Theresa Pitts-Singer and staff and Logan Bee Lab where we conducted majority of the research experiments 4. General public and end consumers - Idaho Department of Commerce status update on our project. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest?Initial results have been communicated to a select group of growers and our seed company partner S&W seed company. What do you plan to do during the next reporting period to accomplish the goals?- Complete the analysis - Complete the first iteration of a commercial product with the goal of deploying it in the next season - Prepare the research topics for Phase 2.

Impacts
What was accomplished under these goals? The following were accomplished Increase precision of bee emergence and mortality data of pre- and near-emergence bees exposed to incubation interruption Understand the practical incubation control operational windows by simulating commercial farm incubator conditions Hardware and Software field-testing of incubation monitoring system (Internal Funds) Impact of heat generated by bees during incubation was assessed

Publications


    Progress 08/15/16 to 04/14/17

    Outputs
    Target Audience: 1. 2 Growers in Canyon County, ID where we placed our hardware through the 2016 season 2. Focus group of growers where we presented the results from the analysis of data from the 2016 season derived ideas for development of the software solution 3. S&W seed company where we installed our hardware and collaborated to develop our software solution, deployed our software solution to their agronomists in the 2017 season. 4. 8 Growersin ID and WA where we placed our hardware in 15 separate incubators and deployed the software application for the 2017 season. 5. USDA researchers and staff at the Logan, UT bee labwhere we analysed and discussed the results from the 2016 season 6. Western Alfalfa seed gowers meeting attendees in the annual conference at Las Vegas, NV 7. Idaho State Dept of Commerce for a status update on our project Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?Although this project is not intended or designed for training or professional development, some training and development opportunities were realized. 1) Under the guidance of USDA ARS scientists,students/young researchersand technicians gained experience Alfalfa leafcutting bee emergence characteristics. In addition, they were able to present results in conference and industry meetings. 2) Under the guidance of Kairosys, undergraduate students seeking careers in Agriculture gained valuable experience and profession development. How have the results been disseminated to communities of interest?Conference poster andpresentation Partial results of this study were presentedat the Western Alfalfa Seed Growers Association annual conference in Las Vegas, NV. The presentation was made by USDA-ARS personnel and a poster was prepared. Kairosys and USDA team members responded to questions from growers on pollination management and bee health. Grower Meetings In partnership with S&W seed company, Kairosys presented results from the study to growers within the S&W network. The team also engaged the growers in the discussion about best practices in incubation and the features in a live mobile app that will enable the growers to manage their bees better. Pilot deployment Kairosys deployed the first version of the commercial product, Incusense, in multiple grower incubators and S&W incubators. In the 2017 season the growers could monitor their bees using this application in real time. The application calculated the degree days accumulated and presented the growers with a picture of the developmental stage of the bees. In addition the application also provided the male and female hatch dates. In addition a live graph of temperature was also made available. The growers and agronomists could set high and low temperature alerts with an option of receiving alerts by phone, text, and email. The application also alerted the growers on the protocols to be followed during specific developmental stages. The timing of the protocol alerts have been chosen based on the results obtained from the study. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

    Impacts
    What was accomplished under these goals? Impact of the Program An efficient alfalfapollination management program coordinates bee release with bloom onset while minimizingresidual pesticide hazard. Due to vagaries in weather and pest related issues growers regularly have to adjust the release dates of the bees into the field. Growers would like to have the maximum possible flexibility even though this comes at a price of increased mortality of bees. We studied controlled interruption of incubation of pre- and near-emergence bees to understand the impact on bee emergence timing and rate. The results of this study showed that we could interrupt incubation for up to 7calendar days without significant loss of mortality even if the bees were at an advanced stage of development (1 day from emergence). We increased the level of precision of incubation interruption which has thus far not been available to growers which allows them to improve their bee release timing and overall management practices. We also have created improved protocols during storage and early stage incubation of the bees which reduced bee mortality in our trials up to 10%. Reduction in bee mortality reduces cost for the growers and improves crop yield. Simulated conditions of actual grower incubators showed that impreciseramping down and ramping up of temperature during incubation interruption did not significantly impact the mortality of the bees, however, the spread in emergence increased by a factor of 2-3 in our trials. This result directs us to consider designing a new incubator to standardize and more precisely control the incubation process. Based on these results, Kairosys has already deployed a first version of the commercial product to growers in the 2017 season. The product feedback from both the grower and agronomist community has been positive. Objective 1:Increase precision of bee emergence and mortality data of pre- and near-emergence bees exposed to incubation interruption Careful timing of ALB emergence with anticipated bloom is necessary to achieve optimal pollination in alfalfa seed production fields. ALB populations overwinter at 4-6°C in temperature-controlled storage units as pre-pupae in cocoons, and require around three weeks of incubation at constant 28-30°C before they emerge as adults. Therefore, three weeks in advance of bee emergence, growers must predict when bloom will be available to foraging bees. If weather, pests, or spray applications delay alfalfa bloom, it may be necessary to slow bee development. The timing of a required dichlorvos (insecticide) application and subsequent ventilation to control the parasitic wasp Pteromalus venustus that emerges before the bees creates a lower boundary for incubation interruption to day 14, and male emergence creates an upper boundary of day 18. Interrupting incubation after the onset of bees emergence increases adult mortality due to starvation. In general, bee mortality increases with lower temperatures and longer durations of interrupted storage (Stephen 1981, Rank and Goerzen 1982, Rajamohan and Sinclair 2008, Yocum et.al. 2010). Although Yocum et.al. (2010) evaluated the consequences of incubation interruption on ALB mortality and emergence synchronization, they used individual bee cells in small laboratory arenas. In 2016, we also evaluated ALB emergence timing and mortality in response to various durations of incubation interruption (for 0, 1, 3, 7 or 14 days). In this study, cocooned bees were contained in five incubation trays, with bee samples (400 cocoons per sample) contained separately in ventilated bags touching each other to allow metabolic heat to accumulate and be shared within each tray, as would happen in grower incubators. Treatment samples were moved from 29°C to 18°C to prescribed interruption durations with variable starting days of 14, 15, 16, 17 and 18 days of incubation, and then returned for completing development at 29°C. Emerged adults were removed and counted up to three times daily until emergence ceased. We found that it is possible to delay adult emergence for up to 7 days at 18°C with very little impact on mortality. Adult mortality is less than 10% when incubation is interrupted up to 17 days after incubation onset, but can be up to 18% for a 2 week interruption period and after 18 days of incubation. Interruptions caused a shortening of the length of the male emergence period, but an increase in mortality, compared to females; however, interruptions had no effect on overall sex ratio of emerged bees. Females emerged quicker (i.e., required fewer degree days when subjected to incubation interruption while males are comparatively unaffected. Until now, this level of precision has not been available to growers. We found that when the incubation was not interrupted, the average mortality of the bees was higher than when a small amount of incubation interruption was introduced. Bees generate their own heat during development and this phenomenon can create local pockets of high temperature. Temperatures above 40 C are often fatal to developing bees. In cohorts where incubation interruption was not introduced maximum temperature went above 40 C every time and up to 45 C in some instances. When the bees were cooled down to 18 C even for 1 day, the overall heat mass reduced sufficiently enough that the bee temperature never crossed 35 C. This is a very significant result which changes the protocol for bee incubation to include prescribed cooling at specific points within the development cycle. Objective 2:Understand the practical incubation control operational windows by simulating commercial farm incubator conditions This objective of this study was to assess how ALCB emergence may vary just from changes to the duration of ramping to 29 C following one week of 18 C interruption. One sample of 2,000 bees were assessed for emergence across 5 different treatments (ramp durations 20 minutes, 2 hours, 10 hours, 24 hours, 18 hours or 24 hours). Bees were incubated at 29 C for 16 days, then introduced to an 18 C interruption for 7 days. Bees were then returned to 29 C according to treatment. To assess daily emergence, the 2,000 ALCB cocoons were places in a 6" x 6" wooden box with an inverted hardware cloth funnel glued over the top of it. The box with attached funnel was situated in a larger, plexiglass emergence chamber that trapped the emerging adults. Twice per day, the boxes were checked for emergence. Emerging bees were counted (by sex) and vacuumed up into BioQuip BugVacs. The primary conclusion is that the duration of ramping from incubation interruption has any obvious effects on emergence mortality in any way. The degree day model for the emergence data shows that the spread in emergence of the 24 hour ramp increased by a factor of over 2.5 times the spread in the case where the ramp was 20 minutes. Objective 3: Development of hardware and software solution to monitor incubation through a smartphone Kairosys' Incusense solution consists of 3 parts, the hardware installation, a software application front end, and an analytics back end. We developed this solution using internal funds and incorporated the results from Phase I research. The hardware consists of temperature and humidity sensors that are placed in the incubator rooms to get ambient information and in bee trays to monitor actual bee cocoon temperature. These sensors communicate to a central gateway using 900 MHz RF and the gateway records the data into the cloud using cellular connection. Data is collect at least once an hour. The analytics back end calculates the degree days and the estimates the hatch date and time of both males and females. All the developmental stages of the bees and emergence of the Pteromalus parasite are determined and continuously corrected as new temperature values come in. The software application allows growers to manage multiple incubators simultaneously.

    Publications

    • Type: Conference Papers and Presentations Status: Published Year Published: 2017 Citation: Boyle, N., et.al., Delaying alfalfa leafcutting bee emergence using incubation interruption, WASGA Conference, Las Vegas, NV, January 2017.