Skip to main content

Advertisement

Log in

Genetic analysis of seed related traits in Orchardgrass (Dactylis glomerata) under normal and drought stress conditions

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

In forage grasses, knowledge about genetic analysis of seed production and its association with related traits under water deficit condition is very limited. Half sib families derived from polycross of 25 Orchardgrass genotypes were evaluated under normal and drought stress environments in the field during 2012 and 2013. Results showed that drought stress had negative effect on seed yield and reduced genotypic variation of measured traits. High genotypic variation was observed among families for seed yield and its components indicating high potential for improving these traits through targeted selection in breeding programs. Narrow sense heritability (\(h_{n}^{2}\)) ranged from 0.23 (flag leaf weight) to 0.77 (day to anthesis) and were moderately high for plant seed weight (0.46). Moderate to high heritability for seed yield components indicated that phenotypic selection for these traits can be successful. Seed yield had positive correlation with ear weight per plant, 1,000-seed weight, number of ear per plant, number of seed per panicle and seed weight in panicle. High association between seed yield and some seed yield components (especially number of ear per plant and 1,000-seed weight) as well as the high heritability of these traits indicated that indirect selection, based on seed yield components, would be more effective to improve seed yield of orchardgrass in both normal and drought stress environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aastveit AH, Aastveit K (1990) Theory and application of open pollination and polycross in forage grass. Theor Appl Genet 79:618–624

    Article  CAS  PubMed  Google Scholar 

  • Açıkgöz E, Tekeli AS (1980) Seed yield and its components in smooth bromegrass (Bromus inermis Leyss.) cultivars. Euphytica 29:199–203

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration guidelines for computing crop water requirements. Irrigation and drainage paper 56, Rome, Italy, p 300

  • 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 53:411–421

    Article  Google Scholar 

  • Araghi B, Barati M, Majidi MM, Mirlohi A (2014) Application of half-sib mating for genetic analysis of forage yield and related traits in Bromus inermis. Euphytica 196:25–34

    Article  CAS  Google Scholar 

  • Araujo MRA (2001) Variation and heritability in meadow bromegrass (Bromus riparius Rehm.). PhD thesis, University of Saskatchewan, Saskatoon, Canada

  • Araujo MRA, Coulman BE (2004) Genetic variation and correlation of agronomic traits in meadow bromegrass (Bromus inermis) clones. Ciência Rural 34:505–510

    Article  Google Scholar 

  • Araujo MRA, Coulman BE, Faris MA, Wrobel C (1983) Genetic variation and correlation of agronomic traits in tall fescue (Festuca arundinacea Schreb.). Can J Plant Sci 63:453–460

    Article  Google Scholar 

  • Araujo MRA, Coulman BE, Rakow G (2002) Genetic variation, heritability and progeny testing in meadow bromegrass. Plant Breed 121:417–424

    Article  Google Scholar 

  • Bantayehu M (2010) Analysis and correlation of stability parameters in malting barley. Afr Crop Sci J 17:145–153

    Google Scholar 

  • Bean EW (1972) Clonal evaluation for increased seed production in two species of forage grasses, Festuca arundinacea Schreb., and Phleum pratense L. Euphytica 21:377–383

    Article  Google Scholar 

  • Blum A (2011) Plant breeding for water-limited environments. CRC, Boca Raton, FL, USA, pp 163–178

  • Boelt B, Studer B (2010) Breeding for grass seed yield. In: Boiler B, Veronesi F, Posselt U (eds) Fodder crops and amenity grasses. Handbook of plant breeding, vol 5. Springer, New York, pp 161–174

  • Christie BR, Kalton RR (1960) Inheritance of seed weight and associated traits in bromegrass, Bromus inermis Leyss. Can J Plant Sci 40:353–365

    Article  Google Scholar 

  • Chugh K (2013) Measuring phenotypic and genetic variances and narrow sense heritability in three populations of annual ryegrass (Lolium multiflorum Lam.). MSc thesis, University of Auburn, Alabama

  • Dudley JW, Moll RH (1969) Interpretation and use of heritability and genetic estimates in plant breeding. Crop Sci 9:257–262

    Article  Google Scholar 

  • Ebrahimiyan M, Majidi MM, Mirlohi M (2013) Genotypic variation and selection of traits related to forage yield in tall fescue under irrigated and drought stress environments. Grass Forage Sci 68:59–71

    Article  Google Scholar 

  • Elgersma A (1990) Heritability estimates of spaced-plant traits in three perennial rye grass (Lolium perenne L.). Euphytica 51:163–171

    Google Scholar 

  • Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. Longman, Harlow, UK

    Google Scholar 

  • Farooq M, Wahid A, Kobayashi N, Fujita D, Basra SMA (2009) Plant drought stress: effects, mechanisms and management. Agron Sustain Develop 29:185–212

    Article  Google Scholar 

  • Fraser J, Acharya S (1993) Improvement of forage and seed yields in orchardgrass in western Canada. Temperature, Seed production and management, pp 13–25

    Google Scholar 

  • Hallauer AR, Miranda JB (1988) Quantitative genetics and maize breeding. Iowa State University Press, Ames

    Google Scholar 

  • Hanna MR, Smoliak S, Wilson DB (1977) Chinook orchardgrass. Can J Plant Sci 57:615–616

    Article  Google Scholar 

  • Hill RR (1977) Quantitative genetics of forages: potentials and pitfalls. American Society of Agronomists, Madison (abstracts)

    Google Scholar 

  • Ingram J, Bartels D (1996) The molecular basis of dehydration tolerance in plants. Ann Rev Plant Physiol Plant Mol Biol 47:377–403

    Article  CAS  Google Scholar 

  • Jafari AA (2003) Evaluation of seed yield and seed components in 29 accessions of cocksfoot (Dactylis glomerata) through a multivariate analysis. Proceedings of the 5th herbage seed congress, Gatton, Australia, pp 94–99

  • Jafari A, Naseri H (2007) Genetic variation and correlation among yield and quality traits in cocksfoot (Dactylis glomerata L.). J Agric Sci 145:599–610

    Article  CAS  Google Scholar 

  • Kalton RR, Smit AG, Leffei RC (1952) Parent–inbred progeny relationships of selected orchardgrass clones. Agron J 44(48):1–486

    Google Scholar 

  • Kearsey MJ, Pooni HS (1996) The genetical analysis of quantitative traits. Chapman and Hall, New York

    Book  Google Scholar 

  • Kole PC, Saha A (2013) Correlation coefficients of component characters with seed yield and their direct effects in pathanalysis in fenugreek grown under six environments. J Hortic Forest 5:17–20

    Google Scholar 

  • Majidi MM, Mirlohi AF, Amini F (2009) Genetic variation, heritability and correlations of agro-morphological traits in tall fescue (Festuca arundinacea Schreb.). Euphytica 167:323–331

    Article  Google Scholar 

  • Marshall AH, Wilkins PW (2003) Improved seed yield in perennial ryegrass (Lolium Perenne L.) from two generations of phenotypic selection. Euphytica 133:233–241

    Article  Google Scholar 

  • Mcdonald MB, Copeland LO, Knapp AD, Grabe DF (1996) Seed development, germination and quality. In: Moser LE, Buxton DR, Casler MD (eds) Cool Season Forage Grasses. ASA-CSSA-SS, Madison, Wisconsin, pp 15–70

    Google Scholar 

  • Mishra SN, Drolsom PN (1973) Association among certain morphological traits of diallel cross progenies in Bromus inermis Leyss. J Agric Sci 81:69–76

    Article  Google Scholar 

  • Moser L, Buxton D, Casler M (eds) (1996) Cool-season forage grasses. Agronomy monograph No. 34. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, Madison, WI, pp 503–534

  • Newell LC, Eberhart SA (1961) Clone and progeny evaluation in the hpmvement of switchgrass, Panicum virgatum L. Crop Sci 1(1):17–121

    Article  Google Scholar 

  • Nguyen HT, Sleper DA (1983a) Theory and application of half-sib matings in forage breeding. Theor Appl Genet 64:187–196

    Article  CAS  PubMed  Google Scholar 

  • Nguyen HT, Sleper DA (1983b) Genetic variability of seed yield and reproductive characters in tall fescue. Crop Sci 23:621–626

    Article  Google Scholar 

  • Nielson AK, kalton RR (1959) Combining ability for seed characteristics in Bromus inermis Leyss. Agron J 51:178–181

    Article  Google Scholar 

  • Pavetti DR, Sleper DA, Roberts CA, Krause GF (1994) Genetic variation and relationship of quality traits between herbage and seed of tall fescue. Crop Sci 34:427–431

    Article  Google Scholar 

  • Richards RA (1978) Genetic analysis of drought stress response in rape seed (Brassica compestris and B. napus). I. Assessment of environments for maximum selection response in grain yield. Euphytica 27:609–615

    Article  Google Scholar 

  • Richards RA (1996) Defining selection criteria to improve yield under drought. Plant Growth Regul 20:157–166

    Article  CAS  Google Scholar 

  • Ross JG, Bullis SS, Lin KC (1970) Inheritance of invitro digestibility in smooth bromegrass. Crop Sci 10:627–633

    Article  Google Scholar 

  • Rumbaugh MO, Asay KH, Johnson OA (1984) Influence of drought stress on genetic variance of alfalfa and wheat grass seedling. Crop Sci 24:297–303

    Article  Google Scholar 

  • Sanada Y, Gras MC, Van Santen E (2010) Cocksfoot. In: Boiler B, Veronesi F, Posselt U (eds) Fodder crops and amenity grasses. Handbook of plant breeding, vol 5. Springer, New York, pp 317–327

  • SAS Institute (2002) The SAS system for Windows. Release 8.2. SAS Institute, Inc., Cary, NC

  • Schaaf HM (1976) Spaced-planted and mass-seeded progeny tests for seed yield and seed size in tetraploid crested wheatgrass. Crop Sci 16:607–610

    Article  Google Scholar 

  • Serin Y, Tan M, Koc A, Gokku SA (1999) Farkli mevsim ve dozlarda verilen azotun kilçiksiz brom (Bromus inermis Leyss.) ‘un tohum verimi ile buna iliskin karakterlere etkisi ve karakterler arasindaki iliskiler. Turk J Agric For 23:257–264

    Google Scholar 

  • Shinozaki K, Yamaguchi-Shinozaki K (2007) Gene networks involved in drought stress response and tolerance. J Exp Bot 58:221–227

    Article  CAS  PubMed  Google Scholar 

  • Spandl E, Kells JJ, Hesterman OB (1997) Weed invasion in established alfalfa (Medicago sativa) seeded with perennial forage grasses. Weed Technol 1:556–560

    Google Scholar 

  • Steel RGD, Torrie JG (1980) Principles and procedures of statistics, 2nd edn. McGraw–Hill Book Co, New York

  • Stewart AV, Ellison NW (2011) Dactylis. In: Kole C (ed) Wild crop relatives: genomic and breeding resources: millets and grasses. Springer, Berlin, pp 73–87

    Chapter  Google Scholar 

  • Tanksley SD, McCouch SR (1997) Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277:1063–1066. doi:10.1126/science.277.5329.1063

    Article  CAS  PubMed  Google Scholar 

  • Tavili A (2007) Effects of water deficiency on Agropyron desertorum and Agropyron cristatum, M.Sc. thesis, Natural Resources College of Tehran University

  • Thomas HL, Kernkamp MF (1954) The use of hentability ratios and correlation coefficients for rneasuring combining ability with smooth bromegrass, Bromus inermis Leyss. Agron J 46:553–556

    Article  Google Scholar 

  • Topp GC, Parkin GW, Ferre TPA (2008) Soil water content. In: Carter MR, Gregorich EG (eds) Soil sampling and methods of analysis. CRC, Boca Raton, pp 939–961 (Canadian Society of Soil Science)

    Google Scholar 

  • Trenberth KE (2011) Changes in precipitation with climate change. Climate Res 47:123–138

    Article  Google Scholar 

  • Vogel KP (2000) Improving warm-season forage grasses using selection, breeding, and biotechnology. In: Moore KJ et al (eds) Native warm-season grasses: research trends and issues. CSSA and ASA, Madison, WI, pp 83–106

    Google Scholar 

  • Wricke G, Weber WE (1986) Quantitative genetics and selection in plant breeding. Walter de Gruyter, New York, p 406

    Book  Google Scholar 

  • Zare G, Humphreys MW, Rogers JW, Mortimer AM, Colline HA (2002) Androgenesis in a Lolium multiflorum × Festuca arundinacea hybrid to generate genotypic variation for drought resistance. Euphytica 125:1–11

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Mahdi Majidi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Majidi, M.M., Hoseini, B., Abtahi, M. et al. Genetic analysis of seed related traits in Orchardgrass (Dactylis glomerata) under normal and drought stress conditions. Euphytica 203, 409–420 (2015). https://doi.org/10.1007/s10681-014-1299-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-014-1299-6

Keywords

Navigation