Enumerator bias in yield measurement: A comparison of harvest versus allometric measurement of coffee yields

cg.authorship.typesCGIAR single centreen
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.donorHanns R. Neumann Stiftungen
cg.coverage.countryUganda
cg.coverage.iso3166-alpha2UG
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierVivian Hoffmann: 0000-0002-6464-3748
cg.creator.identifierMike Murphy: 0000-0002-0293-1621
cg.creator.identifierGiulia Zane: 0000-0002-4160-1166
cg.identifier.doihttps://doi.org/10.2499/p15738coll2.134844en
cg.identifier.projectIFPRI - Markets, Trade, and Institutions Division
cg.identifier.projectIFPRI - Development Strategy and Governance Division
cg.identifier.publicationRankNot ranked
cg.number2065en
cg.placeWashington, DCen
cg.reviewStatusInternal Reviewen
dc.contributor.authorHoffmann, Vivianen
dc.contributor.authorMurphy, Mikeen
dc.contributor.authorRwakazooba, Ezraen
dc.contributor.authorAngebault, Charlesen
dc.contributor.authorKagezi, Godfreyen
dc.contributor.authorZane, Giuliaen
dc.date.accessioned2024-05-22T12:14:10Zen
dc.date.available2024-05-22T12:14:10Zen
dc.identifier.urihttps://hdl.handle.net/10568/143441
dc.titleEnumerator bias in yield measurement: A comparison of harvest versus allometric measurement of coffee yieldsen
dcterms.abstractMeasuring yield accurately is critical for evaluating the impact of interventions that aim to increase agricultural productivity but presents challenges in the case of coffee due to the long harvest period. An allometric approach, in which the fruits on randomly selected branches and clusters are counted is widely used due to its non-destructive nature and acceptability to farmers. However, this approach requires careful attention to detail, which may be difficult to maintain in the context of large-scale data collection efforts. Using data from 199 small-scale Robusta coffee farms in Uganda, we compare yield estimates obtained through a standard allometric protocol against those from a one-time harvest of both ripe and unripe cherries prior to the start of the harvest season. The one-time harvest method was widely acceptable to farmers. Allometric yield estimates explain just under half of the variation in the harvest-based yield measure. While estimated yield is similar across methods for the first tree harvested per farm, we observe a larger difference in allometric versus harvest-based estimates, and systematically lower counts of stems and branches for trees assessed later during the farm visit. We interpret these findings as evidence of deteriorating enumerator performance on the allometric method over time, implying a risk of downward-biased yield estimates.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationHoffmann, Vivian; Murphy, Mike; Rwakazooba, Ezra; Angebault, Charles; Kagezi, Godfrey; and Zane, Giulia. 2021. Enumerator bias in yield measurement: A comparison of harvest versus allometric measurement of coffee yields. IFPRI Discussion Paper 2065. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.134844.en
dcterms.extent15 p.en
dcterms.isPartOfIFPRI Discussion Paperen
dcterms.issued2021-12-03
dcterms.languageen
dcterms.publisherInternational Food Policy Research Instituteen
dcterms.relationhttps://doi.org/10.2499/p15738coll2.133570en
dcterms.relationhttps://doi.org/10.2499/p15738coll2.134836en
dcterms.relationhttps://doi.org/10.2499/p15738coll2.134408en
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll2/id/134844en
dcterms.subjectmethodsen
dcterms.subjectagricultural extensionen
dcterms.subjecttrainingen
dcterms.subjectmeasurementen
dcterms.subjectyield componentsen
dcterms.subjectagricultureen
dcterms.subjectallometryen
dcterms.subjectyieldsen
dcterms.subjectcoffeeen
dcterms.subjectenumerationen
dcterms.subjectimpact assessmenten
dcterms.typeWorking Paper

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