, 213:135 | Cite as

Genetic analysis of root and physiological traits of tall fescue in association with drought stress conditions

  • Fatemeh Pirnajmedin
  • Mohammad Mahdi Majidi
  • Ghodratollah Saeidi
  • Mahdi Gheysari
  • Venus Nourbakhsh
  • Zahra Radan


Genetic analysis of root and physiological traits and selection of genotypes with higher drought tolerance through these traits is generally limited in tall fescue. In this study, some parental genotypes of tall fescue first were assessed for field drought tolerance in 2014–2015 and then the polycross seeds were harvested to provide half-sib families. Sixteen half-sib families along with their corresponding parental genotypes were assessed in a pot experiment for root and physiological characteristics under three irrigation levels (control, mild and intense) in 2016. The results showed that drought stress decreased dry forage yield (DFY), relative water content and total chlorophyll and increased carotenoid and proline in both parental genotypes and half-sib families. Intense drought stress decreased most of the root traits at 0-30 cm soil depth while at 30–60 cm depth length, area, volume and dry weight of roots were increased. A broad range of general combining ability (GCA) was observed for DFY (21M and 9E), root (21M, 12L and 20L) and physiological characteristics (12L and 9E) at three irrigation levels. Moderate to high estimates of narrow sense heritability (0.40–0.72) as well as genetic variation for root and physiological traits, indicated that phenotypic selection can be successful to attain genetic progress. Indirect selection to improve DFY was more effective through selection for root and some physiological traits. Significant associations of root and some physiological traits with drought tolerance demonstrated that these traits could be used as appropriate selection criteria to elevate forage yield and identify superior genotypes for arid and semi-arid regions.


Combining ability Indirect selection Inheritance Polycross 

Supplementary material

10681_2017_1920_MOESM1_ESM.doc (332 kb)
Supplementary material 1 (DOC 332 kb)


  1. Aastiveit AH, Aastiveit K (1990) Theory and application of open-pollination and polycross in forage grass breeding. Theor Appl Genet 79:618–624Google Scholar
  2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop requirements. FAO Irrigation and Drainage paper 56:41–51Google Scholar
  3. Amini F, Majidi MM, Mirlohi A (2013) Genetic and genotype × environment interaction analysis for agronomical and some morphological traits in half-Sib families of tall fescue. Crop Sci 53:411–421CrossRefGoogle Scholar
  4. Anjum SA, Xie XY, Wang LC, Saleem MF, Man C, Lie W (2011) Morphological, physiological and biochemical responses of plants to drought stress. Afr J Agric Res 6:2026–2032Google Scholar
  5. Arnon DI (1949) Copper enzymes in isolated chloroplast. Polyphenol oxidase in Beta vulgaris. Plant Physiol 24:1–15CrossRefPubMedPubMedCentralGoogle Scholar
  6. Asseng S, Ritchie JT, Smucker AJM, Robertson MJ (1998) Root growth and water uptake during water deficit and recovering in wheat. Plant Soil 201:265–273CrossRefGoogle Scholar
  7. Bajji M, Lutts S, Kinet JM (2001) Water deficit effects on solute contribution to osmotic adjustment as a function of leaf ageing in three durum wheat (Triticum durum Desf.) cultivars performing differently in arid conditions. Plant Sci 160:669–681CrossRefPubMedGoogle Scholar
  8. Bates LS, Waldren RP, Teare LD (1973) Rapid determination of free proline for water-stress studies. Plant Soil 39:205–207CrossRefGoogle Scholar
  9. Blum A (2011) Plant breeding for water limited environments. Springer, New YorkCrossRefGoogle Scholar
  10. Bonos SA, Rush D, Hignight K, Meyer WA (2004) Selection for deep root production in tall fescue and perennial ryegrass. Crop Sci 44:1770–1775CrossRefGoogle Scholar
  11. Bowley SR, Christie RB (1981) Inheritance of dry matter yield in a heterozygous population of alfalfa. Can J Plant Sci 61:313–318CrossRefGoogle Scholar
  12. Carrow RN, Duncan RR (2003) Improving drought resistance and persistence in turf-type tall fescue. Crop Sci 43:978–984CrossRefGoogle Scholar
  13. Chloupek O, Skacel M, Ehrenbergerova J (1999) Effect of divergent selection for root size in field-grown alfalfa. Can J Plant Sci 79:93–95CrossRefGoogle Scholar
  14. Dacosta M, Hung B (2006) Osmotic adjustment associated with variation in Bentgrass tolerance to drought stress. J Am Soc Hortic Sci 131:338–344Google Scholar
  15. Dencic S, Kastori R, Kobiljski B, Duggan B (2000) Evaluation of grain yield and its components in wheat cultivates and landraces under near optimal and drought conditions. Euphytica 113:43–52CrossRefGoogle Scholar
  16. Ebrahimiyan M, Majidi MM, Mirlohi A, Gheysari M (2012) Drought tolerance indices in a tall fescue population and its polycross progenies. Crop Pasture Sci 63:360–369CrossRefGoogle Scholar
  17. Ebrahimiyan M, Majidi MM, Mirlohi A, Noroozi A (2013) Physiological traits related to drought tolerance in tall fescue. Euphytica 190:401–414CrossRefGoogle Scholar
  18. Edwards JH, Jeffrey FP, Kingery RC (1990) Heritability of root characteristics affecting mineral uptake in tall fescue. Agron Hortic 135:93–96Google Scholar
  19. Ekanayake IJ, Toole JCO, Garrity DP, Massajo TM (1985) Inheritance of root characteristics and their relation to drought tolerance in rice. Crop Sci 25:927–933CrossRefGoogle Scholar
  20. Ennos RA (1985) The significance of genetic variation for root growth within a natural population of white clover (Trifolium repens). J Ecol 73:615–624CrossRefGoogle Scholar
  21. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. Longman, HarlowGoogle Scholar
  22. Falconern DS (1989) Introduction to quantitative genetics, 3rd edn. Longman, LondonGoogle Scholar
  23. Farre L, Faci JM (2009) Deficit irrigation in maze for reducing agricultural water use in a mediterranean enviroment. Agric Water Manag 96:383–394CrossRefGoogle Scholar
  24. Fernandez GCJ (1992) Effective selection criteria for assessing plant stress tolerance. In: Kuo CC (ed.), Proceedings of an international symposium on adaptation of food crops to temperature and water stress. AVRDC, Shanhua, Taiwan, pp. 257–270Google Scholar
  25. Flexas J, Bota J, Loreto F, Cornic G, Sharkey TD (2004) Diffusive and metabolic limitations to photosynthesis under drought and salinity in C3 plants. Plant Biol 6:1–11CrossRefGoogle Scholar
  26. Galkovskyi T, Mileyko Y, Bucksch A, Moore B, Symonova O, Price CA, Topp CN, Iyer-Pascuzzi AS, Zurek PR, Fang S, Harer J, Benfey PN, Weitz JS (2012) GiA roots: software for the high-throughput analysis of plant root system architecture. BMC Plant Biol 12:116CrossRefPubMedPubMedCentralGoogle Scholar
  27. Gallardo M, Jackson LE, Thompson RB (1996) Shoot and root physiological responses to localized zones of soil moisture in cultivated and wild lettuce (Lactuca spp.). Plant, Cell Environ 19:1169–1178CrossRefGoogle Scholar
  28. Gewin V (2010) Food: an underground revolution. Nature 466:552–553CrossRefPubMedGoogle Scholar
  29. Gheysari M, Sadeghi SH, Loescher HW, Amiri S, Zareian MJ, Majidi MM, Asgarinia P, Payero JO (2017) Comparison of deficit irrigation management strategies on root, plant growth and biomass productivity of silage maize. Agric Water Manag 182:126–138CrossRefGoogle Scholar
  30. Gould SH (1955) The methods of archimedes. The American mathematical monthly 62:473–476CrossRefGoogle Scholar
  31. Hayat S, Hayat Q, Alyemeni MN, Wani AS, Pichtel J, Ahmad A (2012) Role of proline under changing environments. Plant Signal Behav 7:1456–1466CrossRefPubMedPubMedCentralGoogle Scholar
  32. Huang B, Gao H (2000) Root physiological characteristics association with drought resistance in tall fescue cultivars. Crop Sci 40:196–203CrossRefGoogle Scholar
  33. Hura T, Grzesiak S, Hura K, Thiemtm E, Tokarz K, Wedzony M (2007) Physiological and biochemical tools useful in drought tolerance detection in genotypes of winter triticale: accumulation of Ferulic acid correlates with drought tolerance. Ann Bot 100:767–775CrossRefPubMedPubMedCentralGoogle Scholar
  34. IPCC (2014) Intergovernmental Panel on Climate Change 5th Assessment Report (AR5)- Climate Change 2014: Impacts, Adaptation, and VulnerabilityGoogle Scholar
  35. Irani S, Majidi MM, Mirlohi A, Zargar M, Karami M (2015) Assessment of drought tolerance in sainfoin: physiological and drought tolerance indices. Agron J 107:1771–1781CrossRefGoogle Scholar
  36. Jiang Y, Huang B (2001) Drought and heat stress injury to two cool-season turfgrass in relation to antioxidant metabolism and lipid peroxidation. Crop Sci 41:436–442CrossRefGoogle Scholar
  37. Johanson RA, Wichern DW (2007) Applied multivariate statistical analysis. Prentice Hall Inter. Inc, New JerseyGoogle Scholar
  38. Karcher DE, Richardson MD, Hignight K, Rush D (2008) Drought tolerance of tall fescue populations selected for high root/shoot ratios and summer survival. Crop Sci 48:771–777CrossRefGoogle Scholar
  39. Kearsey MJ, Pooni HS (1996) The genetical analysis of quantitative traits. Chapman and Hall, New YorkCrossRefGoogle Scholar
  40. Keles Y, Oncel I (2004) Growth and solute composition in two wheat species experiencing combined influence of stress conditions. J Plant Physiol 51:228–233Google Scholar
  41. Khalid KHA (2006) Influence of water stress on growth, essential oil and chemical composition of herbs (Ocimum sp.). Agrophysics 20:289–296Google Scholar
  42. Kiani M, Gheysari M, Mostafazadeh-Farda B, Majidi MM, Karchani K, Hoogenboom G (2016) Effect of the interaction of water and nitrogen on sunflower under drip irrigation in an arid region. Agric Water Manag 171:162–172CrossRefGoogle Scholar
  43. Lehman VG, Engelke MC (1991) Heritability estimates of creeping bentgrass root systems grown in flexible tubes. Crop Sci 31:1680–1684CrossRefGoogle Scholar
  44. Leilah AA, Al-Khateeb SA (2005) Statistical analysis of wheat yield under drought conditions. J Arid Environ 61:483–496CrossRefGoogle Scholar
  45. Majidi MM, Mirlohi A, Amini F (2009) Genetic variation, heritability and correlations of agro-morphological traits in tall fescue (Festuca arundinacea Schreb). Euphytica 167:323–331CrossRefGoogle Scholar
  46. Man D, Bao YX, Han LB (2011) Drought tolerance associated with proline and hormone metabolism in two tall fescue cultivars. Hort Sci 46:1027–1032Google Scholar
  47. Merewitz E, Meyer W, Bonos S, Huang BR (2010) Drought stress responses and recovery of Texas × Kentucky hybrids and Kentucky bluegrass genotypes in temperate climate conditions. Agron J 102:258–268CrossRefGoogle Scholar
  48. Moghaddam A, Vollmann J, Wanek W, Ardakani MR, Raza A, Pietsch G, Friedel JK (2012) Suitability of drought tolerance indices for selecting alfalfa (Medicago sativa L.) genotypes under organic farming in Austria. Crop Breed 2:79–89Google Scholar
  49. Nguyen HT, Sleper DA (1983) Theory and application of half sib matings in forage grass breeding. Theor Appl Genet 64:187–196CrossRefPubMedGoogle Scholar
  50. Pirnajmedin F, Majidi MM, Gheysari M (2015) Root and physiological characteristics associated with drought tolerance in Iranian tall fescue. Euphyica 202:141–155CrossRefGoogle Scholar
  51. Pirnajmedin F, Majidi MM, Gheysari M (2016) Survival and recovery of tall fescue genotypes: association with root characteristics and drought tolerance. Grass Forage Sci 202:141–155Google Scholar
  52. Puig J, Pauluzzi G, Guiderdoni E, Gantet P (2012) Regulation of shoot and root development through mutual signaling. Mol Plant 5:574–583CrossRefGoogle Scholar
  53. Rechinger KH (1970) Flora Iranica. Graz. Austria: No.70Google Scholar
  54. Reddy AR, Chaitanya KV, Vivekanandan M (2004) Drought induced responses of photosynthesis and antioxidant metabolism in higher plants. J Plant Physiol 161:1189–1202CrossRefGoogle Scholar
  55. Ritchi SW, Naguyen HT, Holiday AS (1990) Leaf water content and gas exchange parameters of two wheat genotypes differing in drpught resistance. Crop Sci 30:105–111CrossRefGoogle Scholar
  56. Rong Hua L, Guo PG, Michel B, Stefania G, Salvatore C (2006) Evaluation of chlorophyll content and fluorescence parameter as indicator of drought tolerance in barley. Agric Sci China 5:751–757CrossRefGoogle Scholar
  57. Rudoplh AS, Crowe JH, Crowe LM (1986) Effects of three stabilizing agents-proline, betaine, and trehalose on membrane phospholipids. Arch Biochem Biophys 245:134–143CrossRefGoogle Scholar
  58. SAS institute (2001) User,s guide. Release 9.2 SAS Institute, Cary N. C. Nos SAS and SSSA, Madison, W. pp 225–293Google Scholar
  59. Searle SR (1965) The value of indirect selection.I. Mass selection. Biometrics 21:682–707PubMedGoogle Scholar
  60. Serraj R, Krishnamurthy L, Kashiwagi J, Kumar J, Chandra S, Crouch JH (2004) Variation in root traits of chickpea (Cicer arietinum L.) grown under terminal drought. Field Crops Res 88:115–127CrossRefGoogle Scholar
  61. Sheffer KM, Dunn JH, Minner DD (1987) Summer drought response and rooting depth of three cool- season turfgrasses. Hort Sci 22:296–297Google Scholar
  62. Simkin AJ, Moreau H, Kuntz M, Pagny G, Lin C, Tanksley S, Mc Carthy J (2008) An investigation of carotenoid biosynthesis in Coff canephora and Coffea arabic. J Plant Physiol 165:1087–1106CrossRefPubMedGoogle Scholar
  63. Sokolovic D, Babic S, Radovic J, Milenkovic J, Lugic Z, Andjelkovic S, Vasic T (2013) Genetic variation of root characteristics and deep root production in perennial ryegrass cultivars contrasting in field persistency. Breeding strategies for sustainable forage and turf grass improvement. pp 275–281Google Scholar
  64. Statgraphics (2016) Statgraphics. Version 17.2.1: Stat Point IncGoogle Scholar
  65. Vries FT, Brown C, Stevens CJ (2016) Grassland species root response to drought: consequences for soil carbon and nitrogen availability. Plant Soil 409:297–312CrossRefGoogle Scholar
  66. Wang Z, Huang B (2004) Physiological recovery of kentuky bluegrass from simultaneous drought and heat stress. Crop Sci 44:1729–1736CrossRefGoogle Scholar
  67. Wang H, Siopongco J, Wade L, Yamauchi A (2009) Fractal analysis on root systems of rice plants in response to drought stress. Environ Exp Bot 65:338–344CrossRefGoogle Scholar
  68. Wasson AP, Richards RA, Chatrath R, Misra SC, Sai Prasad SV, Rebetzke GJ, Kirkegaard JA, Christopher J, Watt M (2012) Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops. J Exp Bot 63:3485–3498CrossRefPubMedGoogle Scholar
  69. Wilson A, Punginelli C, Gall A, Bonetti C, Alexandre M, Routaboul JM (2008) A photoactive carotenoid protein acting as light intensity sensor. Proc Natl Acad Sci USA 105:12075–12080CrossRefPubMedPubMedCentralGoogle Scholar
  70. Wricke G, Weber WE (1986) Quantitative genetics and selection in plant breeding. Walter de Gruyter, New YorkCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  • Fatemeh Pirnajmedin
    • 1
  • Mohammad Mahdi Majidi
    • 1
  • Ghodratollah Saeidi
    • 1
  • Mahdi Gheysari
    • 2
  • Venus Nourbakhsh
    • 1
  • Zahra Radan
    • 1
  1. 1.Department of Agronomy and Plant Breeding, College of AgricultureIsfahan University of TechnologyIsfahanIran
  2. 2.Department of Water Engineering, College of AgricultureIsfahan University of TechnologyIsfahanIran

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