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Performance of informal market sweet potato cultivars in on-farm trials in South Africa

Sunette Laurie
  • Corresponding author
  • Agricultural Research Council-Vegetable and Ornamental Plants (ARC-VOP), Pretoria, South Africa
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  • De Gruyter OnlineGoogle Scholar
/ Frikkie Calitz / Musa Mtileni
  • Agricultural Research Council-Vegetable and Ornamental Plants (ARC-VOP), Pretoria, South Africa
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  • De Gruyter OnlineGoogle Scholar
/ Whelma Mphela
  • Agricultural Research Council-Vegetable and Ornamental Plants (ARC-VOP), Pretoria, South Africa
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  • De Gruyter OnlineGoogle Scholar
/ Sidwell Tjale
  • Agricultural Research Council-Vegetable and Ornamental Plants (ARC-VOP), Pretoria, South Africa
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Published Online: 2017-09-06 | DOI: https://doi.org/10.1515/opag-2017-0047

Abstract

Several new sweet potato cultivars have been released in South Africa from 2004 until 2011 with varietal traits suitable for the informal market. This paper reports on results of on-farm trials conducted to evaluate the cultivars in broader agro-ecologies in the country. The trials were conducted at 15 localities across the 2011/12 to 2014/15 planting seasons including six cultivars with varying flesh colours. Data collection included marketable and unmarketable storage root yield classes, dry mass, and taste acceptability. The sites were representative of cool subtropical and warm temperate regions. Statistical analysis included ANOVA, AMMI, Discriminant analysis (DA) and Principal component analysis (PCA). Significant effects were detected for locality*cultivar and region*cultivar interactions for total and marketable yield, and for cultivar only for marketable yield. The factor region was not significant. The mean marketable yield ranged from 13.1 to 19.0 t/ha, being highest for 199062.1 and Ndou, while Bophelo had average stable yield over a broad range of environments. The most prevalent unmarketable class was weevil damage (15.1%). The study demonstrated PCA and DA as quick analytical tools to associate quality traits with cultivars to facilitate cultivar recommendations. Bophelo and Ndou had been sold with success on local informal markets and have large potential to be promoted wider.

Keywords: AMMI; discriminant analysis; sweetpotato; yield

References

  • Andrade M.I., Naico A., Ricardo J., Eyzaguirre R., Makunde G.S., Ortiz O., Grűneberg W.J., Genotype x environment interaction and selection for drought adaptation in sweetpotato (Ipomoea batatas (L.) Lam.) in Mozambique, Euphytica, 2016, 209, 261-280Web of ScienceGoogle Scholar

  • Ceccarelli S., Wide adaptation: How wide?, Euphytica, 1989, 40, 197-205 Google Scholar

  • DAFF, Abstracts of Agricultural Statistics, Department of Agriculture, Forestry and Fisheries, Pretoria, South Africa, 2014, www.daff.gov.zaGoogle Scholar

  • Dau N., Characterization, pathogenicity and cultivar screening of Fusarium wilt of sweet potato in South Africa. M dissertation. Tshwane University of Technology, Pretoria, South Africa, 2016Google Scholar

  • Domola M.J., Laurie S.M., Thompson G.J., Strydom H.D., van den Berg A.A., Aveling T.A.S., Sweet potato viruses in South Africa and the effect of viral infection on storage root yield. Afr. Plant Prot., 2008, 14, 15-23Google Scholar

  • FAOSTAT, Major food and agricultural commodities and producers, Food and Agricultural Organization of the United Nations, 2014, http://faostat.fao.org/site/339/default.aspxGoogle Scholar

  • Gauch H.G., Piepho H., Annicchiarico P., Statistical analysis of yield trials by AMMI and GGE: further considerations, Crop Sci., 2008, 48, 866-889Web of ScienceCrossrefGoogle Scholar

  • Gauch H.G., Zobel R.W., AMMI analysis of yield trials. In: Kang, M.S. and Zobel, H.G. Jr (Eds.). Genotype by environment interaction. CRC Press, Boca Routon, Florida, 1996Google Scholar

  • John J.A, Quenouille, M.H., Experiments: Design and Analysis, Charles Griffin & Company Ltd, London and High Wycombe, UK, 1977 Google Scholar

  • Kandolo S.D., Thompson A.H., Calitz F.J., Laurie S.M., Truter M., et al., Field sensitivity of selected cultivars and fungicide efficacy against Alternaria blight of sweet potato. Afr. Crop Sci. J., 2016, 24, 235-243 Google Scholar

  • Laurie S.M., Booyse, M. Labuschagne M.T., Greyling, M.M., Multienvironment performance of new orange-fleshed sweetpotato varieties in South Africa, Crop Sci., 2015a, 55, 1585-1595Google Scholar

  • Laurie S.M., Faber M., Adebola P., Belete A., Biofortification of sweetpotato for food and nutrition security in South Africa. Food Res. Int., 2015b, 76, 962-970Google Scholar

  • Laurie S.M., Tjale S.S., van den Berg A.A., Mtileni M.M., Labuschagne M.T., Agronomic performance of new cream to yellow-orange sweetpotato varieties in diverse environments across South Africa, S. Afr. J. Plant & Soil, 2015c, 32, 147-156Google Scholar

  • Lehmann E. L., D’Abrera H. J. M., Nonparametrics: Statistical Methods Based on Ranks. Rev. ed. Springer Science & Business Media, New York, 2006Google Scholar

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

  • Niederwieser G.J., Guide to sweet potato production in South Africa. ARC-Roodeplaat, Pretoria, South Africa, 2004Google Scholar

  • Pofu K.M., Mashela P.W., Laurie S.M., Host status to Meloidogyne javanica in sweet potato cultivars: A potential threat in developmental projects. Acta Agric. Scand., Sect. B. Discipline · Plant science, 2016, (in press) DOI: 10.1080/09064710.2016.1220613CrossrefGoogle Scholar

  • Rencher A.C., Methods of multivariate analysis, 2nd edition, John Wiley & Sons Inc., 2002Google Scholar

  • Shisana O., Labadarios D., Rehle T, Simbayi L., Zuma K., Dhansay M.A., et al., South African National Health and Nutrition Examination Survey (SANHANES-1). HSRC Press, Cape Town, South Africa, 2013Google Scholar

  • Tai G.C.C., Genotypic stability analysis and its application to potato regional trials, Crop Sci. 1971, 11, 184-190 CrossrefGoogle Scholar

  • Tumwegamire S., Rubaihayo P.R., Grüneberg W.J., LaBonte et al., Genotype x Environment Interactions for East African Orange-Fleshed Sweetpotato Clones Evaluated across Varying Ecogeographic Conditions in Uganda, Crop. Sci., 2016, 56(4), 1628-1644, doi:CrossrefGoogle Scholar

  • Yan W., Fre´geau-Reid J, Martin R., Pageau D., Mitchell-Fetch J., How many test locations and replications are needed in crop variety trials for a target region?, Euphytica, 2015, 202, 361-372Google Scholar

  • Yan W., Kang M.S., GGE Biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, BocaRaton, Florida, 2003Google Scholar

About the article

Received: 2016-12-10

Accepted: 2017-06-05

Published Online: 2017-09-06

Published in Print: 2017-08-28


Citation Information: Open Agriculture, Volume 2, Issue 1, Pages 431–441, ISSN (Online) 2391-9531, DOI: https://doi.org/10.1515/opag-2017-0047.

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© 2017. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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