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Variation in tuber dry matter content and starch pasting properties of white Guinea yam (Dioscorea rotundata) genotypes grown in three groecologies of Nigeria
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Date
2021Author
Matsumoto, R.
Asfaw, A.
De Koeyer, D.
Muranaka, S.
Yoshihashi, T.
Ishikawa, H.
Adebola, P.O.
Asiedu, R.
Type
Review Status
Peer ReviewTarget Audience
Scientists
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Show full item recordAbstract/Description
The primary objective of this study was to assess the effects of genotype (G), location (L), and G × L interaction on tuber quality traits (dry matter content and starch pasting parameters) in white Guinea yam (Dioscorea rotundata Poir.). Variability in tuber dry matter and starch pasting properties was examined using 18 advanced breeding lines and two dominant landrace cultivars of white Guinea yam grown in three different agroecological zones (forest‒savanna transition, southern Guinea savanna, and rainforest) in Nigeria. The starch pasting properties were evaluated using a Rapid Visco Analyser. Our results show that the G × L interaction effect was low compared to the genotype and growing location effects on the variability of key starch properties. In addition, the repeatability of trait performance across locations was high and relatively uniform for key traits, suggesting that any of the three locations used in this study can be employed for their evaluation. Furthermore, TDr1100873 had a higher dry matter content than the dominant landrace cultivars (Amula and Meccakusa) but was similar to them in starch pasting properties. Hence, TDr1100873 is considered a suitable variety for future breeding activities.
https://dx.doi.org/10.3390/agronomy11101944
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Permanent link to this item
https://hdl.handle.net/20.500.12478/7326IITA Authors ORCID
Ryo Matsumotohttps://orcid.org/0000-0002-0106-6728
Asrat Asfawhttps://orcid.org/0000-0002-4859-0631
David De Koeyerhttps://orcid.org/0000-0001-8064-6538
Haruki Ishikawahttps://orcid.org/0000-0001-6215-2622
Patrick Adebolahttps://orcid.org/0000-0002-5155-6194
Robert Asieduhttps://orcid.org/0000-0001-8943-2376
Digital Object Identifier (DOI)
https://dx.doi.org/10.3390/agronomy11101944