Pedro Andrade Sanchez

Interests

Teaching

n/a

Research

Drivers of yield variability, site-specific sensor-based management, ground-based high throughput phenotyping

Courses

No activities entered.

Scholarly Contributions

Journals/Publications

• Andrade Sanchez, P., Heun, J. T., French, A. N., McKay, J. K., Lehner, K. R., Mullen, J. L., Ottman, M. J., & Attalah, S. (2019). Deployment of lidar from a ground platform: Customizing a low-cost, information-rich and user-friendly application for field phenomics research. Sensors, 19(24). doi:10.3390/s19245358
• Andrade Sanchez, P., Thompson, A., Thorp, K., Conley, M., El-Shikha, D., French, A., & Pauli, D. (2019). Comparing nadir and multi-angle view sensor technologies for measuring in-field plant height of upland cotton. Remote Sensing, 11(6). doi:10.3390/rs11060700
• Bronson, K. F., Hunsaker, D. J., Mon, J., Andrade-Sanchez, P., White, J. W., Conley, M. M., Thorp, K. R., Bautista, E., & Barnes, E. M. (2017). Improving Nitrogen fertilizer use efficiency in surface- and overhead sprinkler-irrigated cotton in the desert Southwest. Soil Science Society of America Journal, 81(6), 1401-1412.
• Sakai, K., Upadhyaya, S. K., Andrade-Sanchez, P., & Sviridova, N. V. (2017). Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application. CHAOS, 27(3).
• Thorp, K. R., Hunsaker, D. J., Bronson, K. F., Andrade Sanchez, P., & Barnes, E. M. (2017). Cotton irrigation scheduling using a crop growth model and FAO-56 methods: Field and simulation studies. Transactions of the ASABE, 60(6), 2023-2039. doi:10.13031/trans.12323
• Pauli, D., Andrade-Sanchez, P., Carmo-Silva, A. E., Gazave, E., French, A. N., Heun, J., Hunsaker, D. J., Lipka, A. E., Setter, T. L., Strand, R. J., Thorp, K. R., Wang, S., White, J. W., & Gore, M. A. (2016). Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. G3-Genes Genomes Genetics, 6(4), 865-879.
• Yang, S., Kaggwa, R. J., Andrade-Sanchez, P., Zarnstorff, M., & Wang, G. (2016). Lint Yield Compensatory Response to Main Stem Node Removal in Upland Cotton (Gossypium hirsutum). Journal of Agronomy and Crop Science, 202(3), 243-253.
• Andrade Sanchez, P., Hunsaker, D., French, A., Waller, P., Bautista, E., Thorp, K., & Bronson, K. (2015). Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA. Agricultural Water Management, 159, 209-224. doi:10.1016/j.agwat.2015.06.016
• Hunsaker, D. J., French, A. N., Waller, P. M., Bautista, E., Thorp, K. R., Bronson, K. F., & Andrade-Sanchez, P. (2015). Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA. Agricultural Water Management, 159, 209-224.
• Thorp, K. R., Gore, M. A., Andrade-Sanchez, P., Carmo-Silva, A. E., Welch, S. M., White, J. W., & French, A. N. (2015). Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics. Computers and Electronics in Agriculture, 118, 225-236.
• Andrade-Sanchez, P., Gore, M. A., Heun, J. T., Thorp, K. R., Carmo-Silva, A. E., French, A. N., Salvucci, M. E., & White, J. W. (2014). Development and evaluation of a field-based high-throughput phenotyping platform. FUNCTIONAL PLANT BIOLOGY, 41(1), 68-79.
• Andrade-Sanchez, P., Gore, M. A., Heun, J. T., Thorp, K. R., Carmo-Silva, A. E., French, A. N., Salvucci, M. E., & White, J. W. (2014). Development and evaluation of a field-based high-throughput phenotyping platform. Functional Plant Biology, 41(1), 68-79.
  More info

  Abstract: Physiological and developmental traits that vary over time are difficult to phenotype under relevant growing conditions. In this light, we developed a novel system for phenotyping dynamic traits in the field. System performance was evaluated on 25 Pima cotton (Gossypium barbadense L.) cultivars grown in 2011 at Maricopa, Arizona. Field-grown plants were irrigated under well watered and water-limited conditions, with measurements taken at different times on 3 days in July and August. The system carried four sets of sensors to measure canopy height, reflectance and temperature simultaneously on four adjacent rows, enabling the collection of phenotypic data at a rate of 0.84ha h-1. Measurements of canopy height, normalised difference vegetation index and temperature all showed large differences among cultivars and expected interactions of cultivars with water regime and time of day. Broad-sense heritabilities (H2)were highest for canopy height (H 2=0.86-0.96), followed by the more environmentally sensitive normalised difference vegetation index (H2=0.28-0.90) and temperature (H2=0.01-0.90) traits. We also found a strong agreement (r 2=0.35-0.82) between values obtained by the system, and values from aerial imagery and manual phenotyping approaches. Taken together, these results confirmed the ability of the phenotyping system to measure multiple traits rapidly and accurately. Journal compilation © CSIRO 2014.
• Andrade-Sanchez, P., Kaggwa-Asiimwe, R., & Wang, G. (2013). Plant architecture influences growth and yield response of upland cotton to population density. Field Crops Research, 145, 52-59. doi:10.1016/j.fcr.2013.02.005
• Kaggwa-Asiimwe, R., Andrade-Sanchez, P., & Wang, G. (2013). Plant architecture influences growth and yield response of upland cotton to population density. FIELD CROPS RESEARCH, 145, 52-59.
• Carmo-Silva, A. E., Gore, M. A., Andrade-Sanchez, P., French, A. N., Hunsaker, D. J., & Salvucci, M. E. (2012). Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field. Environmental and Experimental Botany, 83, 1-11.
• Hunsaker, D., French, A., Waller, P., Bautista, E., Royer, P., Thorp, K., Andrade-Sanchez, P., & Heun, J. (2012). Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. Remote Sensing and Hydrology, 352, 414-418.
• Rossato, O. B., Andrade-Sanchez, P., Sebastiao, G., & Costa, C. (2012). Reflectance and fluorescence sensors to assess nitrogen levels, biomass production and yield of cotton. Pesquisa Agropecuaria Brasileira, 47(8), 1133-1141.
• White, J. W., Andrade-Sanchez, P., Gore, M. A., Bronson, K. F., Coffelt, T. A., Conley, M. M., Feldmann, K. A., French, A. N., Heun, J. T., Hunsaker, D. J., Jenks, M. A., Kimball, B. A., Roth, R. L., Strand, R. J., Thorp, K. R., Wall, G. W., & Wang, G. (2012). Field-based phenomics for plant genetics research. Field Crops Research, 133, 101-112.
• Andrade-Sanchez, P., Upadhyaya, S. K., Plouffe, C., & Poutre, B. (2008). Development and Field Evaluation of a Field-ready Soil Compaction Profile Sensor for Real-time Applications. ASABE - Applied Engineering in Agriculture, 24(6), 743-750.
• Sudduth, K. A., Chung, S., Andrade-Sanchez, P., & Upadhyaya, S. K. (2008). Field comparison of two prototype soil strength profile sensors. Computers and Electronics in Agriculture, 61(1), 20-31.
• Andrade-Sanchez, P., Upadhyaya, S. K., & Jenkins, B. M. (2007). Development, construction, and field evaluation of a soil compaction profile sensor. Transactions of the ASABE, 50(3), 719-725.
• Sakai, K., Andrade-Sanchez, P., & Upadhyaya, S. K. (2005). Periodicity and stochastic hierarchical orders of soil cutting force data detected by an "auto-regressive error distribution function" (AREF). Transactions of the ASAE, 48(6), 2039-2046.
• Andrade-Sanchez, P., Upadhyaya, S. K., Aguera-Vega, J., & Jenkins, B. M. (2004). Evaluation of a capacitance-based soil moisture sensor for real-time applications. Transactions of the ASAE, 47(4), 1281-1287.

Proceedings Publications

• Bronson, K. F., Norton, E. R., Andrade Sanchez, P., Hunsaker, D., Williams, C., & Thorp, K. (2017, January). Improving Nitrogen Management for Subsurface Drip Irrigated Cotton in Arizona. In 2017 Beltwide Cotton Conferences, 147-149.
• Bronson, K., Norton, E. R., Hunsaker, D., & Andrade Sanchez, P. (2015, January). Improving Nitrogen fertilizer management for overhead sprinkler-irrigated cotton in the Western US. In 2015 Beltwide Cotton Conference, 403-410.
• Bronson, K., Norton, E. R., Hunsaker, D., & Lidell, E. (2015, January). Updating petiole Nitrate-based N fertilizer recommendations for Arizona cotton. In 2015 Beltwide Cotton Conference, 392-397.

Presentations

• Norton, E. R., & Andrade Sanchez, P. (2014, June). New Apps for Commercial Agriculture. New Technologies Conference. Maricopa, AZ: The University of Arizona.
• Andrade Sanchez, P., & Heun, J. (2013, July/2013). Sensor-based estimation of cotton plant height: Potential for site-specific plant growth management. 2013 ASABE International Meeting. Kansas City, Missouri: American Society of Agricultural and Biological Engineers.

Poster Presentations

• Diaz, D., Andrade Sanchez, P., Mostafa, A. M., Evancho, B. E., Norton, R., & Ottman, M. J. (2019, August). Evaluation of agronomic needs to improve our extension educational programs to dairy forage growers in the state.. 2019 Arizona Cooperative Extension Conference. Tucson Arizona: University of Arizona Cooperative Extension.
• Norton, R., Ottman, M. J., Evancho, B. E., Mostafa, A. M., Andrade Sanchez, P., & Diaz, D. (2019, April). Arizona Extension Dairy Forage Initiative: Agronomic Assessment of Common Forage Commodities in the State of Arizona. 2019 ALVSCE Poster Forum. Tucson Arizona.
• Heun, J., Dornbusch, T., White, J., Mockler, T., Shakoor, N., Andrade Sanchez, P., Newcomb, M., & Ward, R. (2018, November). Automated Chlorophyll Fluorescence Imaging of Dark-Adapted Plants in Field Plots.. 2018 ASA CSSA Annual. Baltimore, MD.
  More info

  The Field Scanner System located at the Maricopa Agricultural Center is a national high-throughput phenotyping platform utilized in the TERRA-REF project to generate publicly available data on traits of interest for diverse sets of germplasm for target crops. One component of the platform is the chlorophyll fluorescence imaging system, which provides non-invasive measurements of photosystem II (PSII) activity on dark-adapted plants at the plot level. Here we report on proof-of-concept data sets to document the sensitivity of the semi-automated imaging system to detect responses of sorghum and durum wheat plants to abiotic stresses. Depending on positioning distance between plots, approximately 56 plots can be measured per hour, capturing an imaging area per plot of 1 sq m at 0.7 m above plant canopy with a frame rate of 100 images per s and a range of intensity settings from 0-7000 µmol m-2 s-1.

Others

• Andrade Sanchez, P., Fournier, A. J., Walker, K. R., Nair, S., Gouge, D. H., & Li, S. (2018, Septiembre). Lo que debe saber sobre los repelentes de mosquitos y garrapatas. Extensión Cooperativa de la Universidad de Arizona, corto de MIP. https://cals.arizona.edu/apmc/docs/Repellents-IPMShort-Spanish.pdf
• Li, S., Andrade Sanchez, P., Gouge, D. H., Fournier, A. J., Nair, S., Walker, K. R., Walker, K. R., Nair, S., Fournier, A. J., Gouge, D. H., Andrade Sanchez, P., & Li, S. (2018, Septiembre). Lo que debe saber sobre los repelentes de mosquitos y garrapatas. Extensión Cooperativa de la Universidad de Arizona, corto de MIP. https://cals.arizona.edu/apmc/docs/Repellents-IPMShort-Spanish.pdf
• Andrade Sanchez, P., & Ottman, M. J. (2014, June). Determination of optimal planting configuration of low input and organic barley and wheat production in Arizona 2013. University of Arizona Cooperative Extension. http://uacals.org/28r
  More info

  Publication no. AZ1630-2014
• Andrade Sanchez, P., & Ottman, M. J. (2014, June). Sensor-based management of nitrogen of irrigated durum wheat in Arizona 2013. University of Arizona Cooperative Extension. http://uacals.org/28q
  More info

  Publication no. AZ1629