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dc.contributor.authorKorie, S.
dc.contributor.authorWalker, P.
dc.contributor.authorOrtiz, R.
dc.contributor.authorVuylsteke, D.
dc.contributor.authorFerris, R.S.B.
dc.identifier.citationKorie, S., Walker, P., Ortiz, R., Vuylsteke, D. & Ferris, R.S. (2000). Statistical tools to evaluate sensory data for testing fruit quality of Musa. Acta Horticulturae, 540, 545-560.
dc.description.abstractRecent successes in the conventional cross-breeding of plantains and cooking bananas by genetic improvement programmes will inevitably lead to an increase in the number of new clones that require testing before release to farmers. In most cases testing focused on disease resistance and yield but little attention was given to fruit quality. The International Institute of Tropical Agriculture (IITA) has developed a procedure for testing the fruit quality of landraces and hybrid Musa genotypes. This fruit quality procedure measures a wide range of characteristics using both objective physical tests and subjective sensory evaluation. The most diverse and difficult datasets to interpret are recorded from sensory analyses. Therefore, a computer programme for data management and statistical analysis was compiled at IITA. This computer programme enables researchers to access their datasets to make selections based on statistically verified results of fruit quality. This paper describes the programmes developed in Genstatâ 5-Release 2.2 to analyse the sensory datasets.
dc.subjectFruit Crops
dc.titleStatistical tools to evaluate sensory data fro testing fruit quality of Musa
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationNational Root Crops Research Institute, Nigeria
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionWest Africa
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectSmallholder Farmers
cg.iitasubjectResearch Method
cg.accessibilitystatusLimited Access

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