African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6863

Full Length Research Paper

Agro-morphological diversity in yam genotypes from Recôncavo of Bahia, Brazil

Ricardo Franco Cunha Moreira
  • Ricardo Franco Cunha Moreira
  • Federal University Recôncavo da Bahia (UFRB), Rua Rui Barbosa 710, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Sandra Domingos Joao Afonso
  • Sandra Domingos Joao Afonso
  • Federal University Recôncavo da Bahia (UFRB), Rua Rui Barbosa 710, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Carlos Alberto da Silva Ledo
  • Carlos Alberto da Silva Ledo
  • Brazilian Agricultural Research Corporation (EMBRAPA Mandioca e Fruticultura), Embrapa, Rua Embrapa S/N CP 007, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Simone Alves Silva
  • Simone Alves Silva
  • Federal University Recôncavo da Bahia (UFRB), Rua Rui Barbosa 710, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Antonio Leandro da Silva Conceiçao
  • Antonio Leandro da Silva Conceiçao
  • Federal University Recôncavo da Bahia (UFRB), Rua Rui Barbosa 710, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Elaine Costa Cerqueira-Pereira
  • Elaine Costa Cerqueira-Pereira
  • Federal University Recôncavo da Bahia (UFRB), Rua Rui Barbosa 710, CEP: 44380-000, Cruz das Almas, BA, Brazil.
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Cassia da Silva Linge
  • Cassia da Silva Linge
  • University of Milan, DiSAA, Via Celoria, 2 20133 Milan, Italy.
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  •  Received: 14 March 2017
  •  Accepted: 09 May 2017
  •  Published: 15 June 2017

Abstract

The aim of this study was to evaluate the diversity of yam genotypes concerning their agro-morphological traits based on the Ward-modified location model (Ward-MLM) procedure. 209 genotypes from the commercial production area of the Recôncavo region in the state of Bahia, Brazil were used. Three agronomic traits (length, width and weight of the rhizophore) and two morphological traits (rhizophore shape and skin color) were evaluated. A considerable agro-morphological diversity was detected in the data for the 209 yam genotypes. The Ward-MLM procedure showed that the optimal number of groups according to the criteria of pseudo F and pseudo t2 is four. The separation by genotype groups was associated with their origin from two regions with different soil and climatic conditions. The Ward-MLM procedure has shown its usefulness to detect diversity and cluster genotypes by simultaneous use of morphological and agronomic traits.
 
Key words:  Cluster analysis, discriminant analysis, Dioscorea species, Ward-modified location model (MLM).
 

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