19th Annual Meeting of PROCINORTE Directors - Tree Fruit Task Force Report
Activities and progress in 2017 by the Tree Fruit Task Force, including research goals, instrumentation discussions, and successful models for avocado dry matter using spectrometers. Collaboration between countries for sweet cherries and avocado measurement models.
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19 19th thAnnual Meeting of the Board of Annual Meeting of the Board of Directors of PROCINORTE Directors of PROCINORTE Task Force on Tree Fruits 2017 Report Peter Toivonen (Canada), Samuel Salazar-Garc a (Mexico), Ricardo Goenaga (USA), and Jorge A. Osuna-Garcia (Mexico) London, Ontario, October 31 November 1, 2017
Activities undertaken in 2017 by the Tree Activities undertaken in 2017 by the Tree Fruit Task Force Fruit Task Force a) Task Force Annual Meetings September 7thand 8th. Discussed progress, future research goals and issues around instrumentation. b) Attended the 5th Latin-American Avocado Congress at Ciudad Guzm n, Jalisco on September 4-6. PROCINORTE banner was displayed at the Felix trade show booth and Dr. Jorge Osuna made a presentation on the successful model for dry matter in avocado using the Felix F750 spectrometer. c) Jes s Daniel Olivares Figueroa, a 11thsemester electrical engineering student at Autonomous University of Nayarit, is completing his undergraduate thesis on the use of the F750 to measure dry matter, sugar content and peel color of Ataulfo and Tommy Atkins mangos. d) Material transfer agreement between Canada and CID BioScience for use of dry matter model for sweet cherries using a Felix F750 vis/infrared spectrometer.
Jess Daniel Olivares Figueroa measuring dry matter content of Hass avocado
Actual spectra collected during model building and selected range for use in the model (729 975 nm)
Percentage variance explained by the 4- factor model, above 70 % is considered to be a practical model.
Correlation coefficient for prediction for 4-factor model and cross-validation.
External validation of the model External validation of the model essential to confirm that the model is essential to confirm that the model is robust (i.e. works under all conditions). robust (i.e. works under all conditions). Model was developed with Hass avocado from Michoac n External validation showed good prediction for Hass grown in Narayit and also for Mendez avocado grown in Jalisco very good result!
When the model is installed into the F750 it When the model is installed into the F750 it provides good prediction of avocado dry provides good prediction of avocado dry matter content matter content
More work required? More work required? Robustness of prediction models need to be tested over growing seasons. Therefore need one more year to do an external validation process to ensure robustness over different growing seasons.
Mango ( Mango (Ataulfo Ataulfo) )
Mango ( Mango (Ataulfo Ataulfo) )
Mango ( Mango (Ataulfo Ataulfo) )
External validation with different External validation with different lots of lots of Ataulfo Ataulfo mango. mango.
Tommy Atkins mango Tommy Atkins mango Total soluble solids model R2= 0.80, no significant model for dry matter or skin color But very poor external validation for soluble solids model (R2= 0.23 0.29) More work required for this mango
Issues around instrumentation Issues around instrumentation Dr. Samuel Salazar raised the issue that INIFAP would like to consider some sort of patent surrounding non-destructive prediction of dry matter in avocado for Mexico. A discussion was had regarding this issue by all task force members. It was concluded that since the instrumentation and model building process is commercially available, the only component that might be considered is the protocol for sampling. Neither the Canadian or US representative felt that they had contributed to the sampling protocols, however, it was decided that Samuel Salazar define the intellectual property to be protected. Once that was completed, the Canadian and US representatives (in consultation with their respective commercialization/ intellectual property advisors) could make final opinion on their contributions.
Productivity Productivity Publications 2017 Indicadores preliminares de madurez fisiol gica y compartamiento postcosecha del fruto de aguacate M ndez (Preliminary signs of physiological maturity and postharvest performance of M ndez avocado fruit). Revista Fitotecnia Mexicana 40(1): 55 - 63 Desarrollo de T cnicano destructive para determiner madurezde aguacate Hass . Enviado a Revista Mexicana de Ciencias Agr colas (INIFAP). Development of a predictive model for Lapins sweet cherry dry matter content using a visible/near infrared spectrometer and its potential application to other cultivars. Canadian Journal of Plant Science, Published on the web 19 April 2017, 10.1139/CJPS-2017-0013
Productivity, contd Productivity, cont d Technology Transfer 2017 Modelo no destructive para determiner madurez de cosecha en aguacate Hass . V Congresso Latinoamericano del Aguacate 2017, Ciudad Guzm n, Jalisca, del 4 al 7 de septiembre. Resumen de Conferencias, N mero abstracto 16. Modelo no destructive para determiner madurez de cosecha en aguacate Hass . V Congresso Latinoamericano del Aguacate 2017, Ciudad Guzm n, Jalisca, del 4 al 7 de septiembre. D a 1 : Lunes 4 de septiembredel 2017, Sala 2, 18:45 19:00. Reuni n de negocios con Felix Instruments y Roquin, CVR Quality y GLC Avocados. Martes 5 de septiembre, Sala 1 Zona Expo, 17:00 17:30. Discusiones sobre el uso, beneficios y aspectos t cnicos del uso de la espectrometr a para determinar la materia seca en aguacate Hass . The task force met with threeavocado companies (Carlos Viveres Rosales of CVR Quality, M nika Gonz lez Velasco of GLC Avocados, and Abraham Aguirre P rez of Roquin). Executed Material Transfer Agreement between Agriculture and Agri-Food Canada and CID Bio Science, Inc., Camas, WA (manufacturer of Felix F750 Spectrometer). Transfer of sweet cherry model to CID Bio Science for exchange with other sweet cherry researchers and industry. Dr. Osuna received an email request from Carlos Fuenzalidaof the San TadeoPackinghouse Company in Uruapan, Michoac n for training on dry matter prediction with the F750 spectrometer on September 25. Jes s Daniel Olivares Figueroa participated in 5to. Encuentro de J venes Investigadores organized by the Consejo Estatal de Ciencia y Tecnolog a and the Universidad Aut noma de Nayarit with the talk Desarrollo de modelo y validaci n del espectr metro F-750 para determinarmadurez a cosecha de manera no destructiva en mango Ataulfo . He won the 2nd place in this student symposium.
TREE FRUIT TASK FORCE Relevance The work being conducted pertains to developing non-destructive tools to measure composition/maturity of tree fruits and these tools are becoming recognized, in many other jurisdictions, as a new and essential standard for managing quality of fruits in the export market place. It is therefore important for the member countries of PROCINORTE to become capable in the use of such tools. Impact Non-destructive spectral analysis for quality using portable instruments will significantly reduce waste in industry which now destroys significant amounts of fruit for making destructive measures to assess quality for harvest. Standardized tools will enable development of a modernized and harmonized quality standard regulations for tree fruits between the US, Canada and Mexico. Effectiveness of the Task Force Current activities include participation of industry partners who have great interest in adopting the technology (i.e. it is pre-sold). Other countries in Central and South America are indicating interest in interacting with the Task Force in developing/adopting this instrument for measuring dry matter in avocado and other tree fruit.
TREE FRUIT TASK FORCE BUDGET EXECUTION 2016 FUTURE PAYMENTS SURPLUS / SHORTFALL TASK FORCE EVENT / ACTIVITY DATE TOTAL SPENT BUDGETED Internship to transfer to industry the use of spectroscopy to measure quality in major Mexican mango varieties Validation of spectral analysis with a new spectral model. Collection of dry matter data for avocados from varying micro-climates Evaluating sweet cherry quality using spectral analysis. Evaluating mamey sapote maturity using spectral analysis Dec. 2017 $ 7,200 $4,800 $ 12,000 $ - Nov. 2017 $ - $ - Dec. 2017 $ - $ - TREE FRUIT Dec. 2017 $ - $ - Improve and update the taskforce web site. July-01-17 $ - $ - Taskforce meeting, participation in the V Latin-American Avocado Congress to be held in Jalisco, Mexico 4-7 Sept. 2017 $ 1,774.0 $ 3,000 $ 1,226 Contract for internship with industry for use of spectroscopy for Mexican mango To be completed by Dec-17 Payment Schedule First Payment 15% May 01, 2017 Second Payment 45% Jul 31, 2017 Third Payment 20% Sep 30, 2010 Fourth Payment 10% Nov 30, 2017 Fifth Payment 10% Nov 31, 2017 Total Total Mexican Pesos $23,204 Unit Cost (US$) Extended Cost (US$) $ 1,800.00 $ 5,400.00 $ 2,400.00 $ 1,200.00 $ 1,200.00 $ 12,000.00
Activity Excepted result Date Responsible IICA (US $) INIFAP, AAFC, ARS/USDA (In-kind) (US $) $40,000 Industry (US $) completed Evaluating avocado maturity using spectral analysis. Conduct second growing season validation of Vis-NIR model for dry matter of Hass avocado at numerous orchards in different regions of Mexico. Avocado packing house quality assurance personnel will be capable of using the Vis-NIR spectrometer with the INIFAP model for monitoring dry matter of avocado from different orchards Conduct second season of development and validation of Vis-NIR models for maturity in Ataulfo and Tommy Atkin mangos. November 2018 J. Osuna, P. Toivonen, S. Salazar, and R. Goenaga. S. Salazar, J. Osuna, P. Toivonen and R. Goenaga $5,000 $10,000 Initiate training of avocado packing house staff on the use of the Vis-NIR spectrometer to predict dry matter. November 2018 $5,000 20,000 $10,000 Evaluating mango maturity using spectral analysis. November 2018 J. Osuna, P. Toivonen , S. Salazar, and R. Goenaga. P. Toivonen $2,000 $2,000 $2,000 Evaluating apple maturity using spectral analysis. Validate model for dry matter content of apples at harvest maturity under field conditions. November 2018 $0 $10,000 $3,000 Evaluating sweet cherry quality using spectral analysis. Disseminate results from 2016-17 at cherry industry meetings to inform and gain interest for adoption for use. Disseminate Taskforce accomplishments. November 2018 P. Toivonen $0 $10,000 $3,000 Improve and update the taskforce web site. April 2018 R. Goenaga, S. Salazar, P. Toivonen, and J. Osuna R. Goenaga, S. Salazar, P. Toivonen, and J. Osuna $0 $7,000 $0 Taskforce meeting. Discuss current research progress; Prepare Action Plan 2018. July-August 2018. $8,000 $8,000 $0 Total $20,000 $97,000 $28,000
Justification of budget request items for 2017 Justification of budget request items for 2017 Research to use spectroscopy to measure quality in major Mexican mango varieties Total request is $12,000 US. The intent is to provide a stipend, travel costs, and other costs to recently graduated bachelors student and Dr. Osuna (as training supervisor) complete second season of validation of avocado dry matter prediction model ($5k), completion of the mango maturity models ($2k) and to initiate industry training/technology transfer for the prediction of dry matter in avocado ($5k). The expected outcome is to introduce the highly qualified person at training workshops so that he would be considered to be hired by the Mexican industry. Taskforce meeting as part of the American Society of Horticultural Science Annual Conference in Washington, DC. Request is $8,000 US. To cover the costs of Drs Salazar and Osuna for travel, lodging and per diems as well as registration to participate at the Conference. The Tree Fruit Task Force annual meeting will be piggy-backed onto the conference travel.
ACKNOWLEDGEMENTS ACKNOWLEDGEMENTS The Task Force would like to thank the board of The Task Force would like to thank the board of directors for their approval of the purchase of a directors for their approval of the purchase of a commercial spectrometer commercial spectrometer made huge improvement to progress. to progress. made huge improvement The Task Force would like to thank Audia Barnett for her The Task Force would like to thank Audia Barnett for her responsiveness, guidance and support over the past responsiveness, guidance and support over the past year. year.
