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Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes

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Department of Biosystems, KU Leuven, Willem De Croylaan 42—Box 2455, 3001 Heverlee, Belgium
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Division of Soil and Water Management, KU Leuven, Celestijnenlaan 200e—Box 2411, 3001 Leuven, Belgium
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International Institute of Tropical Agriculture, IITA, Arusha P.O. Box 447, Tanzania
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Nelson Mandela African Institution of Science and Technology, NMAIST, Arusha P.O. Box 447, Tanzania
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Bioversity International, Willem De Croylaan 42, 3001 Heverlee, Belgium
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Author to whom correspondence should be addressed.
Agronomy 2020, 10(9), 1435; https://doi.org/10.3390/agronomy10091435
Received: 13 July 2020 / Revised: 16 September 2020 / Accepted: 18 September 2020 / Published: 21 September 2020
The 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. View Full-Text
Keywords: allometry; biomass; bunch; Cavendish; forecasting; regression; Musa spp.; moisture stress; East African Highland Banana allometry; biomass; bunch; Cavendish; forecasting; regression; Musa spp.; moisture stress; East African Highland Banana
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MDPI and ACS Style

Stevens, B.; Diels, J.; Brown, A.; Bayo, S.; Ndakidemi, P.A.; Swennen, R. Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes. Agronomy 2020, 10, 1435. https://doi.org/10.3390/agronomy10091435

AMA Style

Stevens B, Diels J, Brown A, Bayo S, Ndakidemi PA, Swennen R. Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes. Agronomy. 2020; 10(9):1435. https://doi.org/10.3390/agronomy10091435

Chicago/Turabian Style

Stevens, Bert, Jan Diels, Allan Brown, Stanley Bayo, Patrick A. Ndakidemi, and Rony Swennen. 2020. "Banana Biomass Estimation and Yield Forecasting from Non-Destructive Measurements for Two Contrasting Cultivars and Water Regimes" Agronomy 10, no. 9: 1435. https://doi.org/10.3390/agronomy10091435

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