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 (V_pseudo) proved a good predictor for estimating ABGVD (R²_adj = 0.88–0.92; RRMSE = 0.14–0.19), but suboptimal for cormD (R²_adj = 0.90–0.89, RRMSE = 0.21–0.26 for HG; R²_adj = 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. V_pseudo at flowering predicted bunchF in FI plots correctly (R²_adj = 0.70 for HG, R²_adj = 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 V_pseudo at flowering.

中文翻译：

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两种不同栽培品种和水分状况下香蕉的生物量估算和产量预测

威胁香蕉（Musa spp。）生产的最大非生物限制因素是水分胁迫，影响生物量的积累和单产。但是，到目前为止，还没有研究调查水分胁迫对香蕉异体方程的影响。基于两个品种Mchare Huti的无损参数，建立了加权最小二乘回归模型，用于（i）估算地上植物营养干生物量（ABGVD）和球茎干生物量（cormD），以及（ii）预测束鲜重（bunchF）。 -绿铃（HG，AA）和卡文迪许格兰德纳尼（GN，AAA）在两种灌溉制度下：完全灌溉（FI）和雨养（RF）。根据水分胁迫的发生，FI影响田间的生长，产量和物候参数（p <0.05）。假茎体积（V_假）被证明用于估计ABGVD的良好预测（R 2 _ADJ = 0.88-0.92;对于cormD RRMSE = 0.14-0.19），但不理想的（R 2 _ADJ = 0.90-0.89，RRMSE = 0.21-0.26对于HG; R 2 _ADJ = 0.34-0.57，对于GN，RRMSE = 0.38–0.43）。RF和FI模型之间的差异很小（p <0.05），因为95％CI重叠。V_伪在FI曲线正确地预测开花bunchF（R 2 _ADJ = 0.70为HG，R 2 _ADJ = 0.43为GN; RRMSE = 0.12-0.15对于HG和GN）。FI和RF模型之间的差异明显，因为95％CI不重叠（p<0.05）。束的倾斜度受到灌溉的影响，证明束F的预测需要包括束填充期间的水分胁迫信息或束参数的信息。我们的异速关系可以随着时间的推移用于快速和非破坏性地上营养生物量（ABGVD）评估，并可以根据开花时的V_假来预测束势。