Skip to main content

Advertisement

SpringerLink
Log in

Employing the GGE SREG model plus Elston index values for multiple trait selection in sweetpotato

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Sweetpotato is a good source of energy, easy-to-grow and hardy and thus useful in contributing to food security. The current study aimed at identification of the best sweetpotato varieties for multiple desirable traits such as good yield, adaptability (including vine vigor) and tastiness (high dry mass content; taste). Ten South African sweetpotato varieties were evaluated during the period 2002/3–2007/8 at six locations each over two seasons. The sites regression model (SREG) of the genotype plus genotype by environment interaction (GGE) biplot analysis was performed with GenStat to determine stability and adaptability of the varieties. Subsequently, multiple trait selection was performed by using the ranking from Elston index selection. To enable inclusion of varietal stability in multiple trait selection, a stability value was calculated. High yielding varieties included Blesbok, Monate, Ndou and Letlhabula, of which Monate and Letlhabula had stable performance. The advantage, particularly for resource-poor farmers, of a specifically adapted, responsive variety such as Ndou, is the ability to respond to changes in the environment. Based on multiple trait selection varieties Ndou and Monate were recommended for production. The results present an innovative use of Elston index selection, including a stability value, in combination with GGE SREG for recommending varieties with multiple desirable traits. The recommended varieties are of significance for future use to improve food security.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Abidin PE, Van Eeuwijk FA, Stam P, Struik PC, Malosetti M, Mwanga ROM (2005) Adaption and stability analysis of sweetpotato varieties for low-input systems in Uganda. Plant Breed 124:491–497

    Article  Google Scholar 

  • Adebola PO, Shegro A, Laurie SM, Zulu LN, Pillay M (2013) Genotype × environment interaction and yield stability estimate of some sweet potato [Ipomoea batatas (L.) Lam] breeding lines in South Africa. J Plant Breed Crop Sci 5(9):182–186

    Article  Google Scholar 

  • Annicchiarico P (2002) Genotype × environment interaction—challenges and opportunities for plant breeding and cultivar recommendations. FAO Plant Production and Protection Paper 174, Rome

  • Bacusmo JL, Collins WW, Jones A (1988) Effects of fertilization on stability of yield and yield components of sweet potato. Hortic Sci 113(2):261–264

    Google Scholar 

  • Becker HC, Leon J (1988) Stability analysis in plant breeding. Plant Breed 101:1–23

    Article  Google Scholar 

  • Bhering LL, Laviola BG, Salgado CC, Sanchez CFB, Rosado TB, Alves AA (2012) Genetic gains in physic nut using selection indexes. Pesqui Agropecu Bras 47(3):402–408

    Article  Google Scholar 

  • Ceccarelli S (1989) Wide adaptation: How wide? Euphytica 40:197–205

    Google Scholar 

  • Chandra S, Nigam SN, Cruickshank AW, Bandyopadhyaya A, Harikrishna S (2003) Selection index for identifying high-yielding groundnut genotypes in irrigated and rainfed environments. Ann Appl Biol 143(3):303–310

    Article  Google Scholar 

  • Collins WW, Wilson LG, Arrendell S, Dickey LF (1987) Genotype × environment interactions in sweet potato yield and quality factors. J Am Soc Hortic Sci 112(3):579–583

    Google Scholar 

  • DeLacy IH, Cooper M, Basford KE (1996) Relationships among analytical methods used to study genotype-by-environment interactions and evaluation of their impact on response to selection. In: Kang MS, Zobel HG Jr (eds) genotype-by-environment interaction. CRC Press, Boca Raton, pp 51–84

    Google Scholar 

  • Ding M, Tier B, Yan W (2007) Application of GGE biplot analysis to evaluate genotype (G), environment (E) and G × E interaction on P. radiata: case study. Australasian Forest Genetics Conference, 11–14 Apr 2007, The Old Woolstore, Hobart

  • Domola MJ (2003) Survey on characterisation of sweetpotato viruses in South Africa. M Inst Agrar thesis, University of Pretoria, Pretoria. upetd.up.ac.za/thesis/submitted/etd-04292005-132647/…/00front.pdf. Accessed 29 Dec 2014

  • Elston RC (1963) A weight-free index for the purpose of ranking or selection with respect to several traits at a time. Biometrics 19:669–680

    Article  Google Scholar 

  • FAO (2013) The State of Food Insecurity in the World 2013. The multiple dimensions of food security. FAO, IFAD and WFP. FAO, Rome, Italy http://www.fao.org/docrep/018/i3434e/i3434e.pdf. Accessed 30 Dec 2014

  • FAOSTAT (2014) Production—Crops, Food and Agricultural Organization of the United Nations 2012. http://faostat3.fao.org/browse/Q/QC/E. Accessed 28 Dec 2014

  • Farshadfar E, Rashidi M, Jowkar MM, Zali H (2013) GGE biplot analysis of genotype × environment interaction in chickpea genotypes. Eur J Exp Biol 3(1):417–423

    Google Scholar 

  • Glaser A (2010) The use of biplots in statistical analysis: with examples in GenStat. European GenStat and ASReml applied statistics conference, 14 July 2010, Hemel Hempstead

  • Glaser A (2012) GGE biplot procedure, GenStat for windows introduction, 15th edn. VSN International, Hemel Hempstead

    Google Scholar 

  • Grüneberg WJ, Abidin E, Ndolo P, Pereira CA, Hermann M (2004) Variance component estimations and allocation of resources for breeding sweet potato under East African conditions. Plant Breed 123:311–315

    Article  Google Scholar 

  • Grüneberg WJ, Manrique K, Zhang D, Hermann M (2005) Genotype × environment interactions for a diverse set of sweet potato clones evaluated across varying ecographic conditions in Peru. Crop Sci 45:2160–2171

    Article  Google Scholar 

  • Hall MR, Phatak SC (1993) Sweet potato Ipomoea batatas (L.) Lam. In: Kalloo G, Bergh BO (eds) Genetic improvement of vegetable crops. Pergamon Press, Oxford, pp 693–708

    Chapter  Google Scholar 

  • Janssens MJJ (1985) Achieving yield stability in sweetpotato by selecting for translocation potential in adverse environment. In: Proceedings of the 7th symposium of the international society for tropical root crops, Gosier, Gualupe, 1–6 July 1985, pp 729–737

  • Kang MS (1993) Simultaneous selection for yield and stability in crop performance trials: consequences for growers. Agron J 85:754–757

    Article  Google Scholar 

  • Kanua MB, Floyd CN (1988) Sweet potato genotype × environment interactions in the highlands of Papua New Guinea. Trop Agric (Trin) 65:9–16

    Google Scholar 

  • Karimizadeh R, Mohammadi M, Sabaghni N, Mahmoodi AA, Roustami B, Seyyedi F, Akbari F (2013) GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Not Sci Biol 5(2):256–262

    Google Scholar 

  • Kaya Y, Akçura M, Taner S (2006) GGE-biplot analysis of multi-environment yield trials in bread wheat. Turk J Agric For 30:325–337

    Google Scholar 

  • Laurie SM (2010) Agronomic performance, consumer acceptability and nutrient content of new sweet potato varieties in South Africa. PhD dissertation, Department of Plant Sciences (Plant Breeding), University of the Free State, Bloemfontein, South Africa. etd.uovs.ac.za/ETD-db/theses/available/etd-08182011-144404/unrestricted/LaurieSM.pdf. Accessed 28 Dec 2014

  • Laurie SM, Magoro MD (2008) Evaluation and release of new sweet potato varieties through farmer participatory selection. Afr J Agric Res 3(10):672–676

    Google Scholar 

  • Laurie SM, Van den Berg AA, Magoro MD, Kgonyane MC (2004) Breeding of sweet potato and evaluation of advanced breeding lines and imported varieties in off-station trials in South Africa. Afr Crop Sci J 12(3):189–196

    Google Scholar 

  • Laurie SM, Van den Berg AA, Tjale SS, Mulandana NS, Mtileni MM (2009) Initiation and first results of a biofortification program for sweetpotato in South Africa. J Crop Improv 23(3):235–251

    Article  CAS  Google Scholar 

  • Laurie SM, Faber M, Calitz FJ, Moelich EI, Muller N, Labuschagne MT (2012) The use of sensory attributes, sugar content, instrumental data and consumer acceptability in selection of sweet potato varieties. J Sci Food Agric 27:151–159

    CAS  Google Scholar 

  • Lebot V (2009) Tropical root and tuber crops cassava, sweet potato, yams and aroids. CABI, Oxfordshire, pp 91–274

    Google Scholar 

  • Lin CS, Binns MR, Lefkovitch LP (1986) Stability analysis: Where do we stand? Crop Sci 26:894–900

    Article  Google Scholar 

  • Manrique K, Hermannn M (2002) Comparative study to determine stable performance in sweetpotato (Ipomoea batatas [L.] Lam.) regional traits. Acta Hortic 583:87–94

    Google Scholar 

  • Martin FW, Jones A (1986) Breeding sweet potatoes. In: Janick J (ed) Breeding reviews, vol 4. AVI Publishing Co., Westport, pp 313–345

    Google Scholar 

  • Mcharo M, Ndolo P (2013) Root-yield performance of pre-release sweet potato genotypes in Kenya. J Appl Biosci 65:4914–4921

    Article  Google Scholar 

  • Mohammadi R, Amri A (2012) Analysis of genotype × environment interaction in rain-fed durum wheat of Iran using GGE-biplot and non-parametric methods. Can J Plant Sci 92(4):757–770

    Article  Google Scholar 

  • Mwanga R, Lemaga B, Nsumba J, Ndolo P, Agili S, Marandu E (2006). Evaluation of stability performance of orange-fleshed sweetpotato clones in East African regional trials. In: The book of abstracts. A paper presented at the 14th Symposium of the International Society for Tropical Root Crops (ISTRC) held in Trivandrum, India 20–26 November 2006, pp 62–63

  • Naskar SK, Singh DP (1992) Genotype × environment for tuber yield in sweet potato. J Root Crops 18(2):85–88

    Google Scholar 

  • Ngeve JM (1993) Regression analysis of genotype × environment interaction in sweetpotato. Euphytica 71:231–238

    Article  Google Scholar 

  • Osiru MO, Olanya OM, Adipala E, Kapinga R, Lemaga B (2009) Yield stability analysis of Ipomoea batatus L. cultivars in diverse environments. Austr J Crop Sci 3(3):213–220

    Google Scholar 

  • Otoo E, Asiedu R (2009) GGE biplot analysis of Dioscorea rotundata cultivar Tela genotypes in Ghana. J Food Agric Environ 7(1):134–139

    Google Scholar 

  • Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM (2013) Introduction to GenStat for windows, 15th edn. VSN International, Hemel Hempstead

    Google Scholar 

  • Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644

    Article  Google Scholar 

  • Purchase JL, Hatting H, van Deventer CS (2000) Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. S Afr J Plant Soil 17(3):108–117

    Article  Google Scholar 

  • Rakshit S, Ganapathy KN, Gomade SS, Rathore A, Ghorabe RB (2012) GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica 185(3):465–479

    Article  Google Scholar 

  • Ramagosa I, Fox PN (1993) Genotype × environment interaction and adaptation. In: Hayward MD, Bosemark NO, Ramagosa I (eds) Plant breeding: principles and prospects. Chapman and Hall, London, pp 373–390

    Chapter  Google Scholar 

  • Samonte SOPB, Wilson LT, McClung AM, Medlay JC (2005) Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci 45:2414–2424

    Article  Google Scholar 

  • Setimela PS, Crossa J, Bänziger M (2010) Targeting of early to intermediate maize hybrids for yield performance and yield stability using SREG model. S Afr J Plant Soil 27(3):207–214

    Article  Google Scholar 

  • Sibiya J, Tongoona P, Derera J (2013) Combining ability and GGE biplot analyses for resistance to northern leaf blight in tropical and subtropical elite maize inbred lines. Euphytica 191(2):245–257

    Article  Google Scholar 

  • United Nations (2013) World population prospects: the 2012 revision. Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, United Nations. esa.un.org. Accessed 7 Sep 2014

  • Woolfe JA (1992) Sweetpotato an untapped food resource. Cambridge University Press, Cambridge

    Google Scholar 

  • Yamada Y (1962) Genotype × environment interaction and genetic correlation of the same trait under different environments. Jpn J Genet 37:498–509

    Article  Google Scholar 

  • Yan W (2001) GGE biplot-A windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J 93:1111–1118

    Article  Google Scholar 

  • Yan W (2002) Singular value partitioning for biplot analysis of multi-environment trial data. Agron J 94:990–996

    Article  Google Scholar 

  • Yan W, Kang MS (2003) GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton

    Google Scholar 

  • Yan W, Tinkler NA (2006) Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci 86:623–645

    Article  Google Scholar 

  • Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci 40:597–604

    Article  Google Scholar 

  • Yan W, Cornelius PL, Crossa J, Hunt LA (2001) Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci 41:656–663

    Article  Google Scholar 

  • Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE Biplot versus AMMI analysis of genotype-by-environment data. Crop Sci 47(2):643–655

    Article  Google Scholar 

Download references

Acknowledgments

The contribution of research technicians, community members and officials from local Department of Agriculture in maintenance of multi-environment trials, are gratefully acknowledged.

Author information

Authors and Affiliations

  1. Agricultural Research Council (ARC) - Roodeplaat Vegetable and Ornamental Plant Institute, Private Bag X293, Pretoria, 0001, South Africa

    Sunette M. Laurie

  2. Agricultural Research Council - Biometry Unit, Stellenbosch, South Africa

    Mardé Booyse

Authors
  1. Sunette M. Laurie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mardé Booyse
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sunette M. Laurie.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Laurie, S.M., Booyse, M. Employing the GGE SREG model plus Elston index values for multiple trait selection in sweetpotato. Euphytica 204, 433–442 (2015). https://doi.org/10.1007/s10681-015-1359-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-015-1359-6

Keywords

Search

Navigation