African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12487

Full Length Research Paper

Adaptation of sweet potato [Ipomoea batatas) (L.) Lam] genotypes in various agro-ecological zones of Malawi

Felistus Chipungu
  • Felistus Chipungu
  • Bvumbwe Agricultural Research Station, PO Box 5748, Limbe, Malawi.
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Wisdom Changadeya
  • Wisdom Changadeya
  • Molecular Biology and Ecology Research Unit (MBERU) DNA Laboratory, Department of Biological Sciences, Chancellor College, University of Malawi, P.O. Box 280, Zomba, Malawi.
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Aggrey Ambali
  • Aggrey Ambali
  • NEPAD African Biosciences Initiative, Policy Alignment and Programme Development Directorate, NEPAD Agency, c/o CSIR Building 10F, Meiring Naude Road, Brummeria, Pretoria, Republic of South Africa.
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John Saka
  • John Saka
  • University of Malawi, University Office, P.O. Box 278, Zomba, Malawi.
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Nzola Mahungu
  • Nzola Mahungu
  • The International Institute of Tropical Agriculture (IITA), Central Africa Hub, 4163, Avenue Haut-Congo, Commune de la Gombe, Kinshasa, Democratic Republic of Congo.
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Jonathan Mkumbira
  • Jonathan Mkumbira
  • Tea Research Foundation of Central Africa, P.O. Box 51, Mulanje, Malawi.
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  •  Received: 01 December 2017
  •  Accepted: 05 March 2018
  •  Published: 18 April 2018

Abstract

Sweet potato [Ipomoea batatas) (L.) Lam] is grown by small holder farmers across a wide range of environments in Malawi. A multi-location trial of eight genotypes for three seasons at six research stations was undertaken using additive main effects and multiplicative interaction (AMMI) model analysis to determine the genotypes’ stability and influence of genotype × environment interactions (GEI) on storage root yield.  ANOVA showed high significant differences in storage root yield of the genotypes among seasons and locations (p≤0.01). Genotype, environment and genotype × environmental interaction significantly influenced storage root yield variation of the cultivars (p≤0.01). The variance in yield was mainly attributable to environment variability (62.86%) than genotypes variation (14.25%) and G × E interactions (15.06%). Semusa was superior for storage root yield (27.77t/ha) and Lu96/334 was the most inferior (11.19 t/ha). AMMI stability analysis revealed that LU96/303 (24.72 t/ha) was the most stable genotype across sites. Biplot analysis showed that Chitedze and Baka were sites conducive for high yields hence can be used for preliminary yield evaluation to capture maximum genotypes’ yield potential, while Lunyangwa was the lowest yields site; therefore useful for assessing the potential of worst performance of genotypes under unfavourable environmental conditions.

Key words: G × E interactions, multi-locational trial, stability, sweet potato, genotypes, root yield.