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Banana biomass estimation and yield forecasting from non-destructive measurements for two contrasting cultivars and water regimes

dc.contributor.authorStevens, B.
dc.contributor.authorDiels, J.
dc.contributor.authorBrown, A.
dc.contributor.authorBayo, S.
dc.contributor.authorNdakidemi, P. A.
dc.contributor.authorSwennen, R.
dc.date.accessioned2022-08-23T12:01:06Z
dc.date.available2022-08-23T12:01:06Z
dc.date.issued2020-09-21
dc.identifier.citationStevens, B., Diels, J., Brown, A., Bayo, S., Ndakidemi, P. A., & Swennen, R. (2020). Banana biomass estimation and yield forecasting from non-destructive measurements for two contrasting cultivars and water regimes. Agronomy, 10(9): 1435, 1-26.
dc.identifier.issn0002-1962
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7679
dc.description.abstractThe largest abiotic constraint threatening banana (Musa spp.) production is water stress, impacting biomass buildup and yields; however, so far no studies have investigated the effects of water stress on allometric equations in banana. Weighted least square regression models were built for (i) estimating aboveground vegetative dry biomass (ABGVD) and corm dry biomass (cormD) and (ii) forecasting bunch fresh weight (bunchF), based on non-destructive parameters for two cultivars, Mchare Huti-Green Bell (HG, AA) and Cavendish Grande Naine (GN, AAA), under two irrigation regimes: full irrigation (FI) and rainfed (RF). FI affected growth, yield, and phenological parameters in the field (p < 0.05) depending on the onset of moisture stress. Pseudostem volume (Vpseudo) proved a good predictor for estimating ABGVD (R2adj = 0.88–0.92; RRMSE = 0.14–0.19), but suboptimal for cormD (R2adj = 0.90–0.89, RRMSE = 0.21–0.26 for HG; R2adj = 0.34–0.57, RRMSE = 0.38–0.43 for GN). Differences between RF and FI models (p < 0.05) were small as 95%CI overlapped. Vpseudo at flowering predicted bunchF in FI plots correctly (R2adj = 0.70 for HG, R2adj = 0.43 for GN; RRMSE = 0.12–0.15 for HG and GN). Differences between FI and RF models were pronounced as 95%CI did not overlap (p < 0.05). Bunch allometry was affected by irrigation, proving bunchF forecasting needs to include information on moisture stress during bunch filling or information on bunch parameters. Our allometric relationships can be used for rapid and non-destructive aboveground vegetative biomass (ABGVD) assessment over time and to forecast bunch potentials based on Vpseudo at flowering.
dc.description.sponsorshipBelgian VLIR-UOS VLADOC scholarship
dc.description.sponsorshipCGIAR Research Program for Roots, Tubers, and Bananas
dc.format.extent1-26
dc.language.isoen
dc.subjectAllometry
dc.subjectBiomass
dc.subjectForecasting
dc.subjectRegression Analysis
dc.titleBanana biomass estimation and yield forecasting from non-destructive measurements for two contrasting cultivars and water regimes
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationKatholieke Universiteit Leuven
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationThe Nelson Mandela African Institution of Science and Technology (NM-AIST)
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubEastern Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidSTEVENS:2020a
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgronomy
cg.iitasubjectBanana
cg.iitasubjectPlant Breeding
cg.journalAgronomy
cg.notesPublished online: 21 Sep 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/agronomy10091435
cg.iitaauthor.identifierAllen Brown: 0000-0002-4468-5932
cg.iitaauthor.identifierRony Swennen: 0000-0002-5258-9043
cg.futureupdate.requiredNo
cg.identifier.issue9
cg.identifier.volume10


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