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Stability, agronomic performance and genetic variability of 10 cassava genotypes in Ghana

dc.contributor.authorPeprah, B.B.
dc.contributor.authorAgyeman, A.
dc.contributor.authorParkes, E.
dc.contributor.authorKwadwo, O.
dc.contributor.authorIsaac, A.K.
dc.contributor.authorOkogbenin, E.
dc.contributor.authorLabuschagne, M.T.
dc.date.accessioned2019-12-04T11:03:49Z
dc.date.available2019-12-04T11:03:49Z
dc.date.issued2016-09
dc.identifier.citationPeprah, B.B., Agyeman, A., Parkes, E., Kwadwo, O., Isaac, A.K., Okogbenin, E. & Labuschagne, M. (2016). Stability, agronomic performance and genetic variability of 10 cassava genotypes in Ghana. Journal of Plant Breeding and Crop Science, 8(9), 157-167.
dc.identifier.issn2006-9758
dc.identifier.urihttps://hdl.handle.net/20.500.12478/1244
dc.descriptionOpen Access Article
dc.description.abstractGenetic enhancement of cassava aimed at increasing productivity through the provision of broad-based which improved germplasm and is also a major goal for cassava breeders. 10 genotypes (4 landraces and 6 developed lines) were evaluated at Fumesua, Ejura and Pokuase in 2 growing seasons in a randomized complete block design in 3 replicates to determine variability among genotypes for fresh root yield (FRY), root number (RTN), plant stands harvested (PSH), top weight (TW), harvest index (HI) and dry matter content (DMC) and their adaptation to different environments. Genotype main effect was significant (P < 0.001) for all the traits, GEI effect was significant (P < 0.001) for DMC, (P < 0.01) for TW and HI (P <0.05). Environment main effect was significant (P < 0.001) for FRY, RTN and TW. The most stable and high yielding genotype for dry matter content was LA07/012. Genotypes AW07/001 and AW07/015 were adjudged as the most productive genotypes in terms of FRY, DMC, HI and stability. The high genotype and low environmental effects, and the relatively low interaction on DMC imply that evaluation and selection can be effectively done in fewer environments to select clones with high performance while FRY requires multiple environments to identify clones with broad and specific adaptation. The partitioning of GGE through GGE biplot analysis showed that PC1 and PC2 accounted for 84.1 and 9.2% of GGE sum of squares respectively for dry matter content, explaining a total of 93.3% variation. Fum-2, Eju-2 and Pok-2 were the most discriminating and least representative environments while Fum-1 and Ejua-1 environments were the most representative environments.
dc.description.sponsorshipCGIAR Generation Challenge Program
dc.format.extent157-167
dc.language.isoen
dc.subjectCassava
dc.subjectGenotypes
dc.subjectDry Matter Content
dc.subjectHarvest Index
dc.titleStability, agronomic performance and genetic variability of 10 cassava genotypes in Ghana
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpGenebanks
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationNational Root Crops Research Institute, Nigeria
cg.contributor.affiliationUniversity of the Free State
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectCassava
cg.iitasubjectGenetic Improvement
cg.journalJournal of Plant Breeding and Crop Science
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid78505
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.5897/jpbcs2016.0581


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