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Modeling growth and development of root and tuber crops

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Understanding Options for Agricultural Production

Part of the book series: Systems Approaches for Sustainable Agricultural Development ((SAAD,volume 7))

Abstract

Root and tuber crops are physiologically and botanically a diverse group of plants with a common underground storage organ for carbohydrates. Among all the IBSNAT crop simulation models, the root and tuber family of models have the least amount in common. Crop growth simulation models exist for edible aroids, taro (Colocasia esculenta L. Schott) and tanier (Xanthosoma spp.), potato (Solanum tuberosum L.) and cassava (Manihot esculenta L. Crantz). Technically, the economic important products harvested are cassava roots, potato tubers, and aroid corms and cormels. The aroids, potato and cassava models simulate growth and development as affected by environmental factors and cultural practices. All models calculate growth using a capacity model for carbon fixation constrained by solar radiation, temperature, soil water deficit, and nitrogen deficit. They each simulate the effect of soil, water, irrigation, N fertilization, planting date, planting density, row spacing, and the method of planting on plant growth, development and yield. The models assume that during early growth the leaf and stem (petiole in aroids) are the dominant sinks for assimilate. As plants mature most of the assimilate is translocated to storage organs. In the evaluation presented the models show great potential for simulating growth to aid in the interpretation of experimental data, and subsequently, following refinement, help in the evaluation of potential changes in management in diverse environments.

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References

  • Allen E J, Scott R K (1980) An analysis of growth of the potato crop. Journal of Agricultural Science 94: 583–606.

    Article  Google Scholar 

  • Boerboom B W J (1978) A model of dry matter distribution in cassava (Manihot esculenta Crantz). Netherlands Journal of Agricultural Science 26: 267–277.

    Google Scholar 

  • Bolhuis G G (1966) Influence of length of the illumination period on root formation in cassava, Manihot utillissima Pohl. Netherlands Journal of Agricultural Sciences 14: 251–254.

    Google Scholar 

  • Connor D J, Cock J H, Parra G E (1981) Response of cassava to water shortage. I. Growth and yield. Field Crops Research 4: 181–200.

    Google Scholar 

  • Cock.11-1, Franklin D, Sandoval G, Juri P (1979) The ideal cassava plant for maximum yield. Crop Science 19:271–279.

    Google Scholar 

  • De Bruijn G H (1977) Influence of daylength on the flowering of cassava. Tropical Root Tuber Crops Newsletter 10: 1–3.

    Google Scholar 

  • Ewing E E (1981) Heat stress and the tuberization stimulus. American Potato Journal 58: 31–49.

    Article  Google Scholar 

  • Ewing E E, Heym W D, Batutis E J, Snyder R G, Ben Khedher M, Sandlan K P, Turner A D (1990) Modifications to the simulation model POTATO for use in New York. Agricultural Systems 33: 173–192.

    Google Scholar 

  • FAO (1991) FAO production yearbook 1990. Vol. 44. FAO Statistics Series No. 99. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.

    Google Scholar 

  • Fukai S, Alcoy A B, Llamelo A B, Patterson R D (1984) Effect of solar radiation on growth of cassava (Manihot esculenta Crantz). I. Canopy development and dry matter growth. Field Crops Research 9: 347–360.

    Google Scholar 

  • Fukai S, Hammer G L (1987) A simulation model of the growth of the cassava crop and its use to estimate cassava productivity in Northern Australia. Agricultural Systems 23: 253–257.

    Article  Google Scholar 

  • Gijzen H, Veltkamp H J, Goudriaan J, De Bruijn G H (1990) Simulation of dry matter production and distribution in cassava (Manihot esculenta Crantz). Netherlands Journal Agricultural Science 38: 159–173.

    Google Scholar 

  • Godwin D C, Jones C A (1991) Nitrogen dynamics in soil-plant systems. Pages 287–321 in Hanks R J and Ritchie J T (Eds.) Modeling plant and soil systems. Agronomy 31, American Society of Agronomy, Madison, Wisconsin, USA.

    Google Scholar 

  • Godwin, D.C. and U. Singh (1991) Modeling of nitrogen dynamics in rice cropping systems. Pages 287–294 in Deturk P, Ponnamperuma F N (Eds.) Rice production on acid soils of the tropics. Institute of Fundamental Studies, Kandy, Sri Lanka.

    Google Scholar 

  • Godwin D C, Ritchie J T, Singh U, Hunt L A (1990) A user’s guide to CERES-Wheat V2.10. Simulation Manual IFDC-SM-2, International Fertilizer Development Center, Muscle Shoals, Alabama, USA.

    Google Scholar 

  • Goenaga R, Chardon U (1993) Nutrient uptake, growth and yield performance of three tanier (Xanrhosoma spp.) cultivars grown under intensive management. Journal of Agricultural Science University of Puerto Rico 77: 1–10.

    CAS  Google Scholar 

  • Goenaga R, Singh U (1992) Accumulation and partition of dry matter in tanier (Xanthosoma spp.). Pages 37–43 in Singh U (Ed.) Proceedings of the workshop on taro and tanier modeling University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Griffin T S, Johnson B S, Ritchie J T (1993) A simulation model for potato growth and development: SUBSTOR-Potato Version 2. 0. Department of Agronomy and Soil Science, College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Gutierrez A P, Wermelinger B, Schulthess F, Baumgaertner J U, Herren H R, Ellis C K, Yaninek J S (1988) Analysis of biological control of cassava pests in Africa. I. Simulation of carbon, nitrogen and water dynamics in cassava. Journal of Applied Ecology 25: 901–920.

    Google Scholar 

  • Hartz T K, Moore F D III (1978) Prediction of potato yield using temperature and insolation data. American Potato Journal 55: 431–436.

    Article  Google Scholar 

  • Horton D (1988) Underground crops: Long-term trends in production of roots and tubers. Winrock International, Morrilton, Arkansas, USA.

    Google Scholar 

  • Hunt L A, Jones J W, Hoogenboom G, Godwin D C, Singh U, Pickering N B, Thornton P K, Boote K J, Ritchie J T (1994) Input and output file structures for crop simulation models. Pages 35–72 in Uhlir P F, Carter G C (Eds.) Crop modeling and related environmental data. A focus on applications for arid and semiarid regions in developing countries. CODATA, International Council of Scientific Unions, Paris, France.

    Google Scholar 

  • International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) Project (1986) Decision support system for agrotechnology transfer. Agrotechnology Transfer 2: 1–5.

    Google Scholar 

  • International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) (1988) Technical Report 1: Experimental Design and Data Collection Procedures for IBSNAT. Third Edition, Department of Agronomy and Soil Science, College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Ingram K T, McCloud D E (1984) Simulation of potato growth and development. Crop Science 24: 21–27.

    Article  Google Scholar 

  • Irikura Y, Cock J H, Kawano K (1979) The physiological basis of genotype-temperature interactions in cassava. Fields Crop Research 2: 227–239.

    Article  Google Scholar 

  • Iritani W M (1963) The effect of summer temperature in Idaho on yield of Russet Burbank potatoes. American Potato Journal 40: 47–52.

    Article  Google Scholar 

  • Jeffries J A, MacKerron D K L (1987) Aspects of physiological basis of cultivar differences in yield of potato under droughted and irrigated conditions. Potato Research 30: 201–207.

    Article  Google Scholar 

  • Jeffries J A, MacKerron D K L (1989) Radiation interception and growth of irrigated and droughted potato (Solanum tuberosum). Field Crops Research 22: 101–112.

    Article  Google Scholar 

  • Johnson K B, Johnson S B, Teng P S (1986) Development of a simple potato growth model for use in crop-pest management. Agricultural Systems 19: 189–209.

    Article  Google Scholar 

  • Kay D E (1973) Root crops. Tropical Products Institute, London.

    Google Scholar 

  • Keating B A, Evenson J P (1979) Effect of soil temperature on sprouting and sprout elongation of stem cuttings of cassava (Manihot esculenta Crantz). Field Crops Research 2: 241–251.

    Article  Google Scholar 

  • Keating B A, Evenson J P, Fukai S (1982) Environmental effects of growth and development of cassava (Manihot esculenta Crantz). I. Crop development. Field Crops Research 5: 271–281.

    Google Scholar 

  • Keating B A, Wilson G L, Evenson J P (1985) Effect of photoperiod on growth and development of cassava (Manihot esculenta Crantz). Australian Journal of Physiology 12: 631–640.

    Article  Google Scholar 

  • Lyonga S N, Nzietchueng S (1986) Cocoyam and the African food crisis. In Terry E R, Akoroda M O, Arena O B (Eds.) Tropical root crops: Root crops and the African crisis. Proceedings Third Triennial Symposium of the International Society for Tropical Root Crops, Owerri, Nigeria.

    Google Scholar 

  • MacKerron D K L, Waister P D (1985) A simple model of potato growth and yield. Part I. Model development and sensitivity analysis. Agricultural and Forest Meteorology 34: 241–252.

    Google Scholar 

  • Manrique L A, Bartholomew D P (1991) Growth and yield performance of potato grown at three elevations in Hawaii. II. Dry matter production and efficiency of partitioning. Crop Science 31: 367–372.

    Google Scholar 

  • Manrique L A, Kiniry J R, Hodges T, Axness D S (1991) Dry matter production and radiation interception of potato. Crop Science 31: 1044–1049.

    Article  Google Scholar 

  • Matthews R B, Hunt L A (1994) GUMCAS: model describing the growth of cassava (Manihot esculenta L. Crantz ). Field Crops Research 36: 69–84.

    Google Scholar 

  • Ng E, Loomis R S (1984) Simulation of growth and yield of the potato crop. Simulation Monographs Pudoc, Wageningen, the Netherlands.

    Google Scholar 

  • Paradales J R, Melchor F M, de la Pena R S (1982) Effect of water temperature on the early growth and development of taro. Annals Tropical Research 4 (4); 231–238.

    Google Scholar 

  • Prange R K, McRae K B, Midmore D J, Deng R (1990) Reduction in potato growth at high temperature: role of photosynthesis and dark respiration. American Potato Journal 67: 357–369.

    Article  Google Scholar 

  • Prasad H K, Singh U (1992) Effect of photoperiod and temperature on growth and development of taro (Colocasia esculenta (L.) Schott). Pages 29–35 in Singh U (Ed.) Proceedings of the workshop on taro and tanier modeling, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Ritchie J T (1985) A user-oriented model of the soil water balance in wheat. Pages 293–305. In Day W, Atkin R K (Eds) Wheat Growth and Modeling. Plenum Press, New York, New York, USA.

    Google Scholar 

  • Sale P J M (1973) Productivity of vegetable crops in a region of high solar input. II. Yields and efficiencies of water use and energy. Australian Journal of Agricultural Research 24: 751–762.

    Article  Google Scholar 

  • Sands P J, Hackett C, Nix H A (1979) A model of the development and bulking of potatoes (Solanum tuberosum L.). I. Derivation from well-managed field crops. Field Crops Research 2: 309–331.

    Google Scholar 

  • Silva J A, Coltman R, Paul R, Arakaki A (1992) Response of chinese taro to nitrogen fertilization and plant population. Pages 13–16 in Singh U (Ed.) Proceedings of the workshop on taro and tanier modeling, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Singh U (Ed) (1992) Proceedings of the workshop on taro and tanier modeling, 8–14 August 1991, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Singh U (1994) Nitrogen management strategies for lowland rice cropping system. Pages 110–130 in Proceedings International Conference on Fertilizer Usage in the Tropics, Kuala Lumpur, Malaysia.

    Google Scholar 

  • Singh U, Tsuji G Y, Goenaga R, Prasad H K (1992) Modeling growth and development of taro and tanier. p. 45–56. In U. Singh (ed.) Proceedings of the workshop on taro and tanier modeling, 8–14 August 1991, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Singh U, Ritchie J T, Godwin D C (1993) A user’s guide to CERES-RICE—V2.10. Simulation Manual IFDC-SM-4, International Fertilizer Development Center, Muscle Shoals, Alabama, USA.

    Google Scholar 

  • Singh U, Prasad H K, Goenaga R, Ritchie J T (1995) A user’s guide to SUBSTOR-Aroids V2. 10. Department of Agronomy and Soil Science, College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Snyder R G, Ewing E E (1989) Interactive effects of temperature, photoperiod, and cultivar tuberization of potato cuttings. Horticultural Science 24: 336–338.

    Google Scholar 

  • Tsuji G Y, Uehara G, Batas S (1994) Decision Support System for Agrotechnology Transfer DSSAT v3 International Benchmark Sites Network for Agrotechnology Transfer, University of Hawaii, Honolulu, Hawaii, USA.

    Google Scholar 

  • Tsukamoto Y, Inaba, K (1961) The effect of daylength upon the cormel formation in taro. Memoirs of the Research Institute of Food Science Kyoto University 23: 15–22.

    Google Scholar 

  • Veltkamp H J (1986) Physiological causes of yield variation in cassava (Manihot esculenta L. Crantz). Agricultural University Wageningen Papers 85–6 (1985).

    Google Scholar 

  • Wheeler R M, Tibbetts T W (1986) Utilization of potatoes for life support systems in space: I. Cultivar photoperiod interactions. American Potato Journal 63: 315–323.

    Google Scholar 

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Author information

Authors and Affiliations

  1. International Fertilizer Development Center, Muscle Shoals, Alabama, 35662, USA

    U. Singh

  2. Department of Water Management, Silsoe College, Cranfield University, Silsoe, Bedford, MK45 4DT, UK

    R. B. Matthews

  3. Department of Applied and Environmental Sciences, University of Maine, Orono, Maine, 04469, USA

    T. S. Griffin

  4. Homer Nowlin Chair, Department of Soil and Crop Science, Michigan State University, East Lansing, Michigan, 48824, USA

    J. T. Ritchie

  5. Department of Crop Science, University of Guelph, Guelph, Ontario, NIG 2W1, Canada

    L. A. Hunt

  6. Tropical Agriculture Research Station, USDA-ARS, Mayaguez, Puerto Rico, 00681, USA

    R. Goenaga

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  1. U. Singh
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  2. R. B. Matthews
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  4. J. T. Ritchie
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  5. L. A. Hunt
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  6. R. Goenaga
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Editor information

Editors and Affiliations

  1. University of Hawaii-Manoa, Honolulu, Hawaii, USA

    Gordon Y. Tsuji

  2. Department of Biological and Agricultural Engineering, The University of Georgia, Georgia, USA

    Gerrit Hoogenboom

  3. International Livestock Research Institute, Nairobi, Kenya

    Philip K. Thornton

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© 1998 Springer Science+Business Media Dordrecht

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Singh, U., Matthews, R.B., Griffin, T.S., Ritchie, J.T., Hunt, L.A., Goenaga, R. (1998). Modeling growth and development of root and tuber crops. In: Tsuji, G.Y., Hoogenboom, G., Thornton, P.K. (eds) Understanding Options for Agricultural Production. Systems Approaches for Sustainable Agricultural Development, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3624-4_7

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  • DOI: https://doi.org/10.1007/978-94-017-3624-4_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4940-7

  • Online ISBN: 978-94-017-3624-4

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