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Water-use patterns of tall fescue and hybrid bluegrass cultivars subjected to ET-based irrigation scheduling

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Abstract

In turf industry, the ability of a cultivar to use less water is an important consideration, especially where rainfall and irrigation water are insufficient. Knowledge of turf grass water-use patterns is therefore important for developing efficient water management practices and also for selection of drought-resistant cultivars. We evaluated the soil water‐use patterns of tall fescue and hybrid bluegrasses cultivars irrigated at different rates. Field experiments were conducted at the Turfgrass Research Facility, Auburn University, AL, in 2005 and 2006. Two tall fescue (Festuca arundinacea Schreb.) cultivars (‘Kentucky 31’ and ‘Green Keeper’) and four hybrid bluegrass (Poa pratensis L. × Poa arachnifera Torr.) cultivars, viz., HB 129 [‘Thermal Blue’], HB 130 (Experimental line), HB 328 (Experimental line) and HB 329 [‘Dura Blue’] were included in this study. Plots were irrigated based on the potential evapotranspiration, viz., 100% ET, 80% ET and 60% ET replacements. Tensiometers were installed at 0.075, 0.15 and 0.30 m depths, and their readings used to calculate the matric head, water content and water-use values. Turf color quality was determined from turf canopy digital images. Analysis of variance (ANOVA) for a random complete block design (RCBD) was conducted for available water, water-use and turf color quality values. Hybrid bluegrasses revealed significantly (P = 0.05) higher turf color indices compared to the tall fescue cultivars, but there was no indication of differential responses to irrigation among cultivars. Based on water-use data, hybrid bluegrass cultivars revealed significantly (P = 0.05) lower water-use compared to tall fescue cultivars.

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References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrig. and Drain. Paper 56. FAO, Rome

  • Beard JB (1973) Turfgrass: science and culture. Prentice-Hall, Englewood Cliffs, pp 1–658

    Google Scholar 

  • Beard JB (1989) Turfgrass water stress: drought resistance components, physiological mechanisms, and species-genotype diversity. In: Takatoh H (ed) Proceeding of sixth international Turf. Res. Conf., Tokyo, Japan, pp 23–28

  • Biran I, Bravdo B, Bushkin-Harav I, Rawitz E (1981) Water consumption and growth rate of 11 turfgrasses as affected by mowing height, irrigation frequency, and soil moisture. Agron J 73:85–90

    Google Scholar 

  • Bristow KL, Campbell GS, Calissendorff K (1993) Test of a heat-pulse probe for measuring changes in soil water content. Soil Sci Soc Am J 57:930–934

    Google Scholar 

  • Brooks RH, Corey AJ (1964) Hydraulic properties of porous media. Hydrol. Paper 3, Colo. State University, Fort Collins

  • Busey P (1996) Wilt avoidance in St. Augustinegrass germplasm. HortSci 31:1135–1138

    Google Scholar 

  • Campbell GS, Gee GW (1986) Water potential: miscellaneous methods. In: Klute A (ed) Methods of soil analysis. Part 1, 2nd edn. Agron. Monography, vol 9. ASA and SSSA, Madison, pp 619–633

  • Carrow RN (1991) Turfgrass water use, drought resistance and rooting patterns in the Southeast. ERC-01-91. Environ Res Center Georgia Inst of Tech, Atlanta, GA. and the College of Agricultural Environmental Science, University of Georgia, Athens

  • Carrow RN (1995) Drought resistance aspects of turfgrasses in the southeast: ET and crop coefficients. Crop Sci 35:1685–1690

    Google Scholar 

  • Carrow RN (1996a) Drought avoidance characteristics of diverse tall fescue cultivars. Crop Sci 36:371–377

    Article  Google Scholar 

  • Carrow RN (1996b) Drought resistance aspects of turfgrasses in the Southeast: Root-shoot responses. Crop Sci 36:687–694

    Google Scholar 

  • Carrow RN, Duncan RR (2000a) Strategies for water conservation in turfgrass situations. In: Proceedings of Irr. Assoc., Melbourne, Australia

  • Carrow R, Duncan RR (2000b) Wastewater and seawater use for turfgrasses: potential problems and solutions. In: Proceedings. Irr. Assoc., Melbourne, Australia

  • Carrow RN, Duncan RR (2003) Improving drought-resistance and persistence in turf-type tall fescue. Crop Sci 43:978–984

    Google Scholar 

  • Cary JW, Wright JL (1971) Responses of plant water potential to the irrigated environment of Southern Idaho. Agron J 63:691–695

    Article  Google Scholar 

  • Cassel DK (1985) Physical characteristics of soils of the Southern Region-Summary of in situ unsaturated hydraulic conductivity. NC State University Southern Cooperative Service Bulletin 303

  • Cassel DK, Klute A (1986) Water potential: tensiometry. In: Klute A (ed) Methods of soil analysis. Part 1. 2nd edn. Agron. Mon. 9. ASA and SSSA, Madison, pp 563–596

    Google Scholar 

  • Chalmers DJ, Mitchell PD, Vanheek L (1981) Control of peach tree growth and productivity by regulated water supply, tree density and summer pruning. HortSci 111:904–907

    Google Scholar 

  • DaCosta M, Huang B (2005) Deficit irrigation effects on water use characteristics of bentgrass species. Crop Sci 46:1779–1786

    Article  Google Scholar 

  • Dane JH, Hopmans JW (2002) Water retention and storage. Introduction. In: Dane JH, Topp GC (eds) Methods of soil analysis. Part 4. Physical methods. SSSA Book Series, vol 5. SSSA, Madison, pp 671–673

  • Dane JH, Cassel DK, Davidson JM, Pollans WL, Quisenberry VL (1983) Physical characteristics of soils of the Southern Region-Troup and Lakeland. Cooperative Series Bulletin 262. Auburn, Alabama

    Google Scholar 

  • Dane JH, Walker RH, Bahaminyakamwe L, Belcher JL (2006) Tall fescue and hybrid bluegrass response to soil water matric head limits. Agric Water Manage 86:177–186

    Article  Google Scholar 

  • Doorenbos J, Pruitt WO (1992) Crop water requirements. FAO irrigation and drainage paper No. 24. FAO, Rome

    Google Scholar 

  • Ervin EH, Koski AJ (1998) Drought avoidance aspects and crop coefficients of Kentucky bluegrass and tall fescue turfs in the semi-arid West. Crop Sci 38:788–795

    Article  Google Scholar 

  • Evett SR, Steiner JL (1995) Precision of neutron scattering and capacitance type soil water content gauges from field calibration. Soil Sci Soc Am J 59:961–968

    CAS  Google Scholar 

  • Feldhake CM, Danielson RE, Butler JD (1984) Turfgrass evapotranspiration. II. Responses to deficit irrigation. Agron J 76:85–89

    Article  Google Scholar 

  • Gardner WH (1986) Water content. In: Klute A (ed) Methods of soil analysis, Part 1: Physical and mineralogical methods. Am. Soc. Agron. Book Ser. 9. Madison, WI, pp 493–544

  • Gee GW, Or D (2002) 2.4. Particle-size analysis. In: Dane JH, Topp GC (eds) Methods of soil analysis. Part 4. Physical methods. Soil Sci. Soc. Am. Book Ser. 5. Madison, WI, pp 255–293

  • Hanks RJ (1983) Yield and water-use relationships. In: Taylor HM, Jordan WJ, Siclair TR (eds) Limitations to efficient water-use in crop productions. ASA, Madison, pp 393–410

    Google Scholar 

  • Huang B, Gao H (2000) Root physiological characteristics associated with drought resistance in tall fescue cultivars. Crop Sci 40:196–203

    Google Scholar 

  • Huang B, Duncan RR, Carrow RN (1997) Drought-resistance mechanisms of seven warm-season turfgrasses under surface soil drying: I. Shoot response. Crop Sci 37(6):1858–1863

    Article  Google Scholar 

  • Jones HG (2004) Irrigation scheduling: advantages and pitfalls of plant-based methods. J Exp Bot 55:2427–2436

    Article  PubMed  CAS  Google Scholar 

  • Karcher DE, Richardson MD (2003) Quantifying turfgrass color using digital image analysis. Crop Sci 43:943–951

    Article  Google Scholar 

  • Karcher DE, Richardson MD (2005) Batch analysis of digital images to evaluate turfgrass characteristics. Crop Sci 45:1536–1539

    Article  Google Scholar 

  • Kenna MR, Horst GL (1993) Turfgrass water conservation and quality. Int Turf Soc Res J 7:99–113

    Google Scholar 

  • Kirda C (2002) Deficit irrigation scheduling based on plant growth stages showing water stress tolerance. In: Water Reports. FAO. United Nations, Rome

  • Kirda C, Kanber R (1999) Water, no longer a plentiful resource, should be used sparingly in irrigation agriculture. J. In: Kirda C, Moutonnet P, Hera C, Nielsen DR (eds) Crop yield responses to deficit irrigation. Kluwer, Dordrecht

    Google Scholar 

  • Laboski CAM, Lamb JA, Dowdy RH, Baker JM, Wright J (2001) Irrigation scheduling for a sandy soil using mobile frequency domain reflectometry with a checkbook method. J Soil Water Cons 56(2):97–100

    Google Scholar 

  • Meyer JL, Gibeault VA, Youngner VB (1985) Irrigation of turfgrass below replacement of evapotranspiration as a means of water conservation. In: Lemaire F (ed) Determining crop coefficient of turfgrasses. In: Proceedings of international turfgrass research conference, Avignon, France, pp 357–364

  • Mualem Y (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Res 12(3):513–522

    Article  Google Scholar 

  • Munns R (1988) Why measure osmotic adjustment? Aust J Plant Physiol 15:717–726

    Article  Google Scholar 

  • Olson CO (1985) Site design for water conservation. In: Gibeault VA, Cockerham ST (eds) Turfgrass water conservation. Pub. No. 21405. Cooperative Extension Service. University of California, Oakland

  • Puckett WE, Dane JH (1981) Testing tensiometers by a vacuum method. Soil Sci 132:444–445

    Article  Google Scholar 

  • Richardson MD, Karcher DE, Purcell LC (2001) Quantifying turfgrass cover using digital image analysis. Crop Sci 41:1884–1888

    Article  Google Scholar 

  • Savé R, Peñuelas J, Marfá O, Serrano L (1993) Changes in leaf osmotic and elastic properties and canopy structure of strawberries under mild water stress. Horticultural Sci 28:925–927

    Google Scholar 

  • Stewart RS, Kjelgren R, Johnson PG, Kuhns MR (2004) Soil water-use characteristics of precision-irrigated buffalograss and Kentucky bluegrass. Appl Turfgrass Sci 10:1094–1118

    Google Scholar 

  • Taylor SA (1965) Managing irrigation water on the farm. Am Soc Agric Eng Trans 8:433–436

    Google Scholar 

  • Topp GC, Davis JL (1985) Time-domain reflectometry (TDR) and its application to irrigation scheduling. In: Hillel D (ed) Advances in irrigation, vol 3. Academic Press, New York, pp 107–127

    Google Scholar 

  • van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898

    Google Scholar 

  • Visser WC (1959) Crop growth and availability of moisture. Inst. Land Water Manage. Res. Tech. Bulletin 6. Wageningen, the Netherlands

  • Wade GL, Midcap JT, Coder KD, Landry G, Tyson AW, Weatherby N Jr (1992) Xeriscape—a guide to developing a water-wise landscape. Cooperative Extension Service Bulletin 1073. University of Georgia, Athens

    Google Scholar 

  • Young MH, Sisson JB (2002) Tensiometry. In: Dane JH, Topp GC (eds) Methods of soil analysis. Part 4. Physical methods. S.S.S.A. Book Ser. 5. SSSA, Madison, pp 575–608

    Google Scholar 

  • Youngner VB (1985) Physiology of water use and water-stress. In: Gibeault VA, Cockerham ST (eds) Turfgrass water conservation. Publ. 21405. University of California, Div. Agric. and Nat. Resources, Oakland, pp 37–43

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Correspondence to Leonard J. M. Githinji.

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Communicated by E. Fereres.

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Githinji, L.J.M., Dane, J.H. & Walker, R.H. Water-use patterns of tall fescue and hybrid bluegrass cultivars subjected to ET-based irrigation scheduling. Irrig Sci 27, 377–391 (2009). https://doi.org/10.1007/s00271-009-0153-4

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