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A METHOD FOR DEVELOPING IRRIGATION DECISION SUPPORT SYSTEMS de novo: EXAMPLE OF SESAME (Sesamum indicum L.) A KNOWN DROUGHT TOLERANT SPECIES

Author

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  • Gloaguen, Romain M.
  • Rowland, Diane L.
  • Brym, Zachary T.
  • Wilson, Chris. H.
  • Chun, Hyen Chung
  • Langham, Ray

Abstract

Irrigation decision support systems (DSS) are tools that can help achieve higher system level water use efficiency by more accurately targeting water application to crop need. They also have a role to play in preventing over-irrigation of drought tolerant crops that can be sensitive to flooded conditions. However, there are challenges in developing DSS for newly introduced crops in regions where they have not typically been produced. One such crop is sesame, a recently introduced drought tolerant crop in the southeastern United States where up to 50% of the agronomic crop production is irrigated. A first irrigation DSS, called SesameFARM1, was developed in 2013 by estimating a water demand curve using the Food and Agricultural Organization (FAO) crop coefficient (Kc) values, seasonal measures of the leaf area index (LAI) for the crop measured in 2012, and an estimated maximum rooting depth. On a daily time-step, SesameFARM1 estimated crop evapotranspiration using the product of the Kc and the ETo obtained from a local weather station, and an estimation of the maximum plant available water based on the available water capacity for the soil type and the maximum crop rooting depth. To improve SesameFARM1, LAI data from 6 years of field trials along with root data from a previous study were used to develop a breakpoint regression model for LAI and total functional root length. In SesameFARM2, the resulting curve for LAI was used to estimated continuous Kc values; and total measured functional root length replaced the estimation of maximum rooting depth in a new variable called root water access. SesameFARM2 performance was compared to SesameFARM1 using 6 years of weather data from Citra FL. SesameFARM2 consistently recommended less water be applied, and recommendations of water application during the senescence phase of the crop were reduced. Because of sesame’s inherent drought tolerance, a more conservative irrigation recommendation is likely more appropriate. Therefore, SesameFARM2 is likely a better model than SesameFARM1 and may help growers unfamiliar with sesame achieve irrigation higher irrigation crop water productivity.

Suggested Citation

  • Gloaguen, Romain M. & Rowland, Diane L. & Brym, Zachary T. & Wilson, Chris. H. & Chun, Hyen Chung & Langham, Ray, 2021. "A METHOD FOR DEVELOPING IRRIGATION DECISION SUPPORT SYSTEMS de novo: EXAMPLE OF SESAME (Sesamum indicum L.) A KNOWN DROUGHT TOLERANT SPECIES," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377419323595
    DOI: 10.1016/j.agwat.2020.106435
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    References listed on IDEAS

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    1. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    2. Anapalli, Saseendran S. & Ahuja, Lajpat R. & Gowda, Prasanna H. & Ma, Liwang & Marek, Gary & Evett, Steven R. & Howell, Terry A., 2016. "Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters," Agricultural Water Management, Elsevier, vol. 177(C), pages 274-283.
    3. George, B. A. & Shende, S. A. & Raghuwanshi, N. S., 2000. "Development and testing of an irrigation scheduling model," Agricultural Water Management, Elsevier, vol. 46(2), pages 121-136, December.
    4. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
    5. Raphael, O.D. & Ogedengbe, K. & Fasinmirin, J.T. & Okunade, D. & Akande, I. & Gbadamosi, A., 2018. "Growth-stage-specific crop coefficient and consumptive use of Capsicum chinense using hydraulic weighing lysimeter," Agricultural Water Management, Elsevier, vol. 203(C), pages 179-185.
    6. Sepaskhah, Ali R. & Andam, M., 2001. "Crop coefficient of sesame in a semi-arid region of I.R. Iran," Agricultural Water Management, Elsevier, vol. 49(1), pages 51-63, July.
    7. Bezerra, Bergson G. & da Silva, Bernardo B. & Bezerra, José R.C. & Sofiatti, Valdinei & dos Santos, Carlos A.C., 2012. "Evapotranspiration and crop coefficient for sprinkler-irrigated cotton crop in Apodi Plateau semiarid lands of Brazil," Agricultural Water Management, Elsevier, vol. 107(C), pages 86-93.
    8. Ko, Jonghan & Piccinni, Giovanni & Marek, Thomas & Howell, Terry, 2009. "Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat," Agricultural Water Management, Elsevier, vol. 96(12), pages 1691-1697, December.
    9. Piccinni, Giovanni & Ko, Jonghan & Marek, Thomas & Howell, Terry, 2009. "Determination of growth-stage-specific crop coefficients (KC) of maize and sorghum," Agricultural Water Management, Elsevier, vol. 96(12), pages 1698-1704, December.
    10. Mateos, Luciano & Lopez-Cortijo, Ignacio & Sagardoy, Juan A., 2002. "SIMIS: the FAO decision support system for irrigation scheme management," Agricultural Water Management, Elsevier, vol. 56(3), pages 193-206, August.
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