Skip to main content

Advertisement

Log in

Marker-based parental selection to improve performance of orchadgrass polycross populations under water deficit environments

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Little is known about the application of parental molecular information to enhance the performance of synthetic populations of orchardgrass under water deficit environments. In this study, first generation progenies of four polycrossed groups constructed from a combination of several parental genotypes with contrasting levels of diversity (high and low phenotypic, high and low molecular) were assessed in a field trial for quantitative traits under normal and water stress conditions and in the laboratory for germination and seedling growth properties. To investigate genetic variation, the DNA from the selected genotypes were subjected to inter-simple sequence repeat and sequenced-related amplified polymorphism markers. The assessment of first generation showed a clear separation of the four progeny groups in both water environments indicating that the progeny performance depends on the level of diversity among the parental genotypes. Molecular distance was highly associated with progeny performances of all traits at both moisture conditions. Crosses between genetically distant parents led to significantly increased drought tolerance of progenies. Although significant associations between phenotypic diversity among polycross parents and progenies performance were found for some traits under normal conditions, no such relationship was observed under water stress conditions. The results indicated that the predictive ability of parental phenotypic distance was strongly affected by the target trait and moisture conditions. Superiority of first generation progeny from parents with high molecular diversity under both moisture conditions emphasizes the benefit of marker-assisted polycross breeding in orchardgrass.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abdul-Baki AA, Anderson JD (1973) Vigor determination in soybean seed by multiplication. Crop Sci 3:630–633

    Article  Google Scholar 

  • Akhavan Armaki M, Hashemi M, Azarnivand H (2013) Physiological and morphological responses of three Bromus species to drought stress at seedling stage and grown under germinator and greenhouse conditions. Afr J Plant Sci 7:155–161

    Article  Google Scholar 

  • Amini F, Mirlohi A, Majidi MM, Shojaieefar S, Kollilker R (2011) Improved polycross breeding of tall fescue through marker-based parental selection. Plant Breed 130:701–707

    Article  Google Scholar 

  • Amini F, Mirlohi A, Majidi MM (2016) The possibility of use of AFLP molecular markers and phenotypic traits to increase forage yield in tall fescue (Festuca arundinacea Schreb.) breeding. J Agric Sci Technol 18:1419–1429

    Google Scholar 

  • Bassam BJ, Caetano-Anollés G, Gresshoffet PM (1991) Fast and sensitive silver staining of DNA in polyacrylamide gels. Anal Biochem 196:80–83

    Article  CAS  Google Scholar 

  • Betran FJ, Ribaut JM, Beck D, Gonzales De Leon D (2003) Genetic diversity, specific combining ability, and heterosis in tropical maize under stress and non-stress environments. Crop Sci 43:797–806

    Article  Google Scholar 

  • Collins M, Casler MD (1990) Forage quality of five cool-season grasses. I. Cultivar effects. Anim Feed Sci Technol 27:197–207

    Article  Google Scholar 

  • Edmands S (2007) Between a rock and a hard place: evaluating the relative risks of inbreeding and outbreeding for conservation and management. Mol Ecol 16:463–475

    Article  Google Scholar 

  • Ellis RA, Roberts EH (1981) The quantification of ageing and survival in orthodox seeds. Seed Sci Technol 9:373–409

    Google Scholar 

  • Fernandez GCJ (1992) Effective selection criteria for assessing plant stress tolerance. In: Kuo CC (ed) Proceeding of an international symposium on adaptation of food crops to temperature and water stress. AVRDC, Shanhua, Taiwan, pp 257–270

  • Gazanchian A, Hajheidari M, Sima NK, Salekdeh GH (2007) Proteome response of Elymus elongatum to severe water stress and recovery. J Exp Bot 58:291–300

    Article  CAS  Google Scholar 

  • Ghesquiere A, Muylle H, Baert J (2013) Use of molecular marker information in the construction of polycrosses to enhance yield in a Lolium perenne breeding programme. Breeding strategies for sustainable forage and turf grass improvement. Barth and Milbourne, Belgium

    Google Scholar 

  • Gholami M, Rahemi M, Kholdebarin B, Rastegar S (2012) Biochemical responses in leaves of four fig cultivars subjected to water stress and recovery. Sci Hortic 148:109–117

    Article  CAS  Google Scholar 

  • Grandillo S, Tanksley SD, Zamir D (2007) Exploitation of natural biodiversity through genomics. In: Varshney RK, Tubersa R (eds) Genomics-assisted crop improvement, vol 1: genomics approaches and platforms. Springer, Dordrecht, pp 121–150

    Chapter  Google Scholar 

  • Hadas A (1976) Water uptake and germination of leguminous seeds in soils of changing matrix and osmotic water potential. J Exp Bot 28:977–985

    Article  Google Scholar 

  • Hallauer AR, Carena MJ, Miranda Filho JB (2010) Quantitative genetics in maize breeding. In: Handbook of plant breeding, 3rd edn, Springer, New York

  • Hirata M, Yuyama N, Cai HW (2011) Isolation and characterization of simple sequence repeat markers for the tetraploid forage grass Dactylis glomerata. Plant Breed 130:503–506

    Article  CAS  Google Scholar 

  • Irani S, Majidi MM, Mirlohi A, Karami M, Zargar M (2015) Response to drought stress in sainfoin: within and among ecotype variation. Crop Sci 55:1868–1880

    Article  CAS  Google Scholar 

  • ISTA (2012) International rules for seed testing. International Seed Testing Association, Zurich, Switzerland

    Google Scholar 

  • Jatoi WA, Baloch MJ, Khan NU, Munir M, Khakwani AA, Vessar NF, Panhwar SA, Gul S (2014) Heterosis for yield and physiological trait in wheat under water stress conditions. J Anim Plant Sci 24:252–261

    Google Scholar 

  • Jiang LF, Qi X, Zhang XQ, Huang LK, Ma X, Xie WG (2014) Analysis of diversity and relationships among orchardgrass (Dactylis glomerata L.) accessions using start codon-targeted markers. Genet Mol Res 13:4406–4418

    Article  CAS  Google Scholar 

  • JMP Pro (2016) Statistical analysis system. Release 13.1. SAS Institute, Inc., Cary, NC

    Google Scholar 

  • Johnson RA, Wichern DW (2007) Applied multivariate statistical analysis. Prentice Hall Interational Inc, New Jersey

    Google Scholar 

  • Kolliker R, Boller B, Widmer F (2005) Marker assisted polycross breeding to increase diversity and yield in perennial ryegrass (Lolium perenne L.). Euphytica 146:55–65

    Article  Google Scholar 

  • Li G, Quiros CF (2001) Sequence-related amplified polymorphism (SRAP), a new marker system based on a simple PCR reaction: its application to mapping and gene tagging in Brassica. Theor Appl Genet 103:455–461

    Article  CAS  Google Scholar 

  • Liu S (2015) Application of molecular markers in selected breeding material and plant genetic resources of Lolium perenne L. PhD thesis, University of Göttingen, Göttingen, Germany

  • Majidi MM, Araghi B, Barati M, Mirlohi A (2014) Polycross genetic analysis of forage yield and related traits in Dactylis glomerata. Crop Sci 55:203–210

    Article  Google Scholar 

  • Makumbi D, Betrán JF, Banziger M, Ribaut JM (2011) Combining ability, hetrosis and genetic diversity in tropical maize (Zea mays L.) under stress and non-stress conditions. Euphytica 180:143–162

    Article  Google Scholar 

  • Melchinger AE, Lee M, Lamkey KR, Woodman WL (1990) Genetic diversity for 10 restriction fragment length polymorphisms: relation to estimated genetic effects in 11 maize inbreeds. Crop Sci 30:1033–1040

    Article  CAS  Google Scholar 

  • Merewitz E, Meyer W, Bonos S, Huang BR (2010) Drought stress responses and recovery of Texas × 9Kentucky hybrids and Kentucky bluegrass genotypes in temperate climate conditions. Agron J 102:258–268

    Article  Google Scholar 

  • Michel BE, Kaufmann MR (1973) The osmotic potential of polyethylene glycol 6000. Plant Physiol 51:914–916

    Article  CAS  Google Scholar 

  • Mohammadi SA, Prasanna BM, Sudan C, Singh NN (2008) SSR heterogenic patterns of maize parental lines and prediction of hybrid performance. Biotechnol Equip 22:541–547

    Article  Google Scholar 

  • Murray MG, Thompson WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res 8:4321–4325

    Article  CAS  Google Scholar 

  • Ndhlela T, Herselman L, Semagn K, Magorokosho CE, Mutimaamba C, Labuschagne M (2015) Relationships between heterosis, genetic distances and specific combining ability among CIMMYT and Zimbabwe developed maize inbred lines under stress and optimal conditions. Euphytica 204:635–647

    Article  CAS  Google Scholar 

  • Posselt U (2010) Breeding methods in cross-pollinated species. In: Boller BU, Posselt K, Veronesi DF (eds) Fodder crops and amenity grasses, handbook of plant breeding, vol 5. Springer, New York, pp 39–89

    Chapter  Google Scholar 

  • Powell W, Morgante M, Ander C, Hanafey M, Vogel J, Tingy S, Rafalaski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) marker for germplasm analysis. Mol Breed 2:225–238

    Article  CAS  Google Scholar 

  • Prevost A, Wilkinson MJ (1999) A new system of comparing PCR primers applied to ISSR fingerprinting of potato cultivars. Theor Appl Genet 98:107–112

    Article  CAS  Google Scholar 

  • Reif JC, Hahn V, Melchinger AE (2003) Genetic distance based on simple sequence repeats and heterosis in tropical maize populations. Crop Sci 43:1275–1282

    Article  Google Scholar 

  • Rice KJ, Dyer AR (2001) Seed aging, delayed germination and reduced competitive ability of Bromus tectorum. Plant Ecol 155:237–243

    Article  Google Scholar 

  • Riday H, Brummer EC, Campbell AC, Luth D, Cazcarro PM (2003) Comparisons of genetic and morphological distance with heterosis between Medicago sativa subsp. sativa and subsp. falcate. Euphytica 131:37–45

    Article  CAS  Google Scholar 

  • Rohlf FJ (2009) NTSYS-pc: Numerical taxonomy and multivariate analysis system. Version 2.2. Exeter software, Setauket, New York

    Google Scholar 

  • Roldan-Ruiz I, Dendauw J, Bockstaele EV, Depicker A, Loose MD (2000) AFLP markers reveal high polymorphic rates in ryegrasses (Lolium spp.). Mol Breed 6:125–134

    Article  CAS  Google Scholar 

  • Rouhi HR, Aboutalebian MA, Sharif-Zadeh F (2011) Effects of hydro and osmopriming on drought stress tolerance during germination in four grass species. Int J Agric Sci 1:701–774

    Google Scholar 

  • Saeidnia F, Majidi MM, Mirlohi A (2017) Analysis of seed production and its association with forage production and agronomic traits in orchardgrass (Dactylis glomerata) under different moisture conditions. Crop Pasture Sci 68:657–669

    Article  Google Scholar 

  • Sanada Y, Gras MC, Van Santen E (2010) Cocksfoot. In: Boller BU, Posselt K, Veronesi DF (eds) Fodder crops and amenity grasses, handbook of plant breeding, vol 5. Springer, New York, pp 317–328

    Chapter  Google Scholar 

  • SAS Institute (2002) The SAS system for Windows. Release 9.2. SAS Institute, Inc., Cary, NC

  • Singh BD, Singh AK (2015) Marker-assisted plant breeding: principles and practices. Springer, New York, pp 3–16

    Google Scholar 

  • Solomon KF, Labuschagne MT, Viljoen CD (2007) Estimates of heterosis and association of genetic distance with heterosis in durum wheat under different moisture regimes. J Agric Sci 145:239–248

    Article  Google Scholar 

  • Statgraphics (2016) Statgraphics. Version 17.2.1. Stat Point Inc

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

    Chapter  Google Scholar 

  • Tanaka T, Tamaki H, Ashikaga K, Fujii H, Yamada T (2013a) Use of molecular marker diversity for forage yield increase in timothy (Phleum pratense L.) polycross breeding. Plant breed 132:144–148

    Article  Google Scholar 

  • Tanaka T, Tamaki H, Ashikaga K, Fujii H, Sato K, Iwabuchi K, Adachi M (2013b) Evaluation of forage yield performance in advanced generations of a timothy “clone and strain synthesis” strain. Grassl sci 59:221–225

    Article  Google Scholar 

  • Tanaka T, Tamaki H, Ashikaga K, Fujii H, Tamura K, Yamada T (2015) Use of SSR markers to increase forage yield in Timoty (Phleum pratense L.). Molecular breeding of forage and turf. Springer, New York

    Google Scholar 

  • Terzopoulos PJ, Bebeli PJ (2008) Genetic diversity analysis of Mediterranean faba bean (Vicia faba L.) with ISSR markers. Field Crops Res 108:39–44

    Article  Google Scholar 

  • Veronesi F, Rosellini D, Albertini E (2003) The use of molecular markers in alfalfa breeding. Czech J Genet Plant Breed 39:104–111

    Google Scholar 

  • Xie WG, Robins JG, Bushman BS (2012) A genetic linkage map of tetraploid orchardgrass (Dactylis glomerata L.) and quantitative trait loci for heading date. Genome 55:360–369

    Article  CAS  Google Scholar 

  • Zhao YF, Zhang XQ, Ma X, Xie WG, Huang LK (2014) Morphological and genetic characteristics of hybrid combinations of Dactylis glomerata. Genet Mol Res 13:2491–2503

    Article  CAS  Google Scholar 

  • Zurek G (2006) Grass response to drought stress—evaluation methods and their application to turf species: postdoctoral thesis. Plant Breeding and Acclimatization Institute, Radzików, Poland

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Mahdi Majidi.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 174 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abtahi, M., Majidi, M.M. & Mirlohi, A. Marker-based parental selection to improve performance of orchadgrass polycross populations under water deficit environments. Euphytica 214, 232 (2018). https://doi.org/10.1007/s10681-018-2313-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10681-018-2313-1

Keywords

Navigation