Aiming to gain an understanding of how the genotype × environment × management (G×E×M) interaction influences the yield accumulation by elite sugarcane varieties in Brazil, a large dataset from field plot experiments carried out in two tropical sites (Guadalupe, 6.8 °S; São Romão, 16.4 °S) involving distinct planting dates, varieties and harvest ages, was analysed with statistical techniques and with the APSIM-Sugar model.

Radiation use efficiency (RUE) was determined via a series of regressions and employed in an analysis of variance to investigate site, seasonal, developmental, and varietal differences. Outstanding yields were achieved at both sites. RUE declined as the crop progressed, confirming previous observations on declining RUE with age, known as the reduced growth phenomenon (RGP). RUE was always greater at Guadalupe than São Romão, evidencing that Guadalupe is a more suitable environment for sugarcane production, favoured by higher air temperatures during crop establishment and canopy formation. Varietal differences in RUE appeared only after the early developmental stage, and the observed growth slowdown with age was consistent across the two experimental sites, indicating that RGP is a varietal trait that should be considered for high-yielding environments.

The process-based APSIM-Sugar model was set up with recently determined canopy traits and a new RGP feature based on leaf appearance. RGP parameters were obtained for each variety and site through calibration. The calibrated model was accurate to account for yield accumulation by the varieties in both experiments. The new parameters were evaluated with independent datasets from other local experiments at each tropical site as well as from published rainfed experiments in sub-tropical Southeast Brazil. Independent verification of the RGP traits added confidence in the new way of dealing with RGP based on leaf stage. The G×E×M interaction on yield accumulation can now be explored more confidently with APSIM-Sugar for the purpose of optimising the choice of varieties, planting dates and harvest ages for sugarcane industries in favourable irrigated lands in tropical Brazil.

为了了解基因型×环境×管理（G×E×M）相互作用如何影响巴西优质甘蔗品种的产量积累，在两个热带地区（瓜达卢佩，6.8°）进行的田间试验的大型数据集S; São Romão, 16.4 °S) 涉及不同的种植日期、品种和收获年龄，使用统计技术和 APSIM-Sugar 模型进行分析。

辐射利用效率 (RUE) 是通过一系列回归确定的，并用于方差分析以调查地点、季节、发育和品种差异。两个站点都实现了出色的产量。RUE 随着作物的生长而下降，证实了之前关于 RUE 随着年龄下降的观察结果，称为生长减少现象 (RGP)。瓜达卢佩的 RUE 总是大于圣罗芒，这表明瓜达卢佩是更适合甘蔗生产的环境，在作物生长和冠层形成过程中受较高的气温有利。RUE 的品种差异仅出现在早期发育阶段之后，并且观察到的随年龄增长的增长放缓在两个实验地点是一致的，

基于过程的 APSIM-Sugar 模型建立了最近确定的冠层特征和基于叶子外观的新 RGP 特征。通过校准获得每个品种和地点的 RGP 参数。校准模型准确地说明了两个实验中品种的产量积累。新参数使用来自每个热带站点的其他本地实验的独立数据集以及来自巴西东南部亚热带地区已发表的雨养实验的独立数据集进行评估。RGP 特性的独立验证增加了对基于叶阶段处理 RGP 的新方法的信心。现在可以使用 APSIM-Sugar 更自信地探索 G×E×M 对产量积累的相互作用，以优化品种选择，