Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments

IF 5.7 1区农林科学 Q1 AGRONOMY

Agricultural and Forest Meteorology Pub Date : 2025-09-19 DOI:10.1016/j.agrformet.2025.110854

Mathias Christina , David Clark , Fabio Ricardo Marin , Rafael Vasconcelos Ribeiro , Julio Victor Saez , Tendai Polite Chibarabada , Murilo dos Santos Vianna , Matthew R. Jones , Santiago Vianna Cuadra , Osvaldo Machado Rodrigues Cabral , Martin Moises Acreche , Henrique Boriolo Dias

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引用次数: 0

Abstract

Sugarcane is a major tropical C₄ crop of global economic significance, primarily used for sugar, ethanol, and bioenergy production. As climate change accelerates, with projected increases in global temperatures, understanding the temperature sensitivity of sugarcane's radiation use efficiency (RUE) is crucial for projecting yield under changing environmental conditions. In this context, this study aimed to characterize sugarcane RUE response to temperature across various environments and varieties from key producing regions worldwide. Using experimental data from six countries (Brazil, South Africa, United States of America, Zimbabwe, Argentina, and La Réunion) and 40 distinct varieties, our results indicated that maximum RUE (RUE_MAX) is consistent across varieties, while apparent RUE (RUE_A) showed significant variation. Based on this diverse dataset, we parameterized different RUE_MAX temperature response formalisms used in crop models (APSIM-Sugar, DSSAT-Canegro, MOSICAS, and emergent formalisms). We compared their ability to simulate RUE_A in various regions accurately. Our analysis revealed significant differences in formalism performance, emphasizing the need for accurate parameterization. Additionally, we demonstrated that predictions of biomass production under climate change scenarios are highly sensitive to the formalism parameterization used to represent the RUE-temperature relationship. These findings highlight the critical importance of refining crop models considering temperature response and cardinal temperatures (optimal range: 30–33°C) to enhance projections of sugarcane yield under future climate conditions. We discussed physiological processes that may explain differences in RUE_A among varieties. Incorporating these refined mechanisms into models will support more accurate climate impact assessments and aid breeding programs focused on developing high-yield sugarcane varieties.

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甘蔗辐射利用效率：品种差异、温度依赖性和对跨环境生物量建模的影响

甘蔗是一种具有全球经济意义的主要热带C4作物，主要用于糖、乙醇和生物能源生产。随着气候变化的加速，预计全球气温将升高，了解甘蔗辐射利用效率（RUE）的温度敏感性对于预测变化环境条件下的产量至关重要。在此背景下，本研究旨在表征甘蔗RUE在不同环境下对温度的响应，以及来自全球主要产区的品种。利用6个国家（巴西、南非、美国、津巴布韦、阿根廷和巴西）和40个不同品种的实验数据，结果表明，最大RUE （RUEMAX）在不同品种间具有一致性，而表观RUE （RUEA）在不同品种间存在显著差异。基于这些多样化的数据集，我们参数化了作物模型中使用的不同的RUEMAX温度响应形式（APSIM-Sugar、DSSAT-Canegro、MOSICAS和emergent形式）。我们比较了他们在不同地区准确模拟RUEA的能力。我们的分析揭示了形式主义表现的显著差异，强调了精确参数化的必要性。此外，我们证明了气候变化情景下的生物质产量预测对用于表示rue -温度关系的形式主义参数化高度敏感。这些发现强调了在考虑温度响应和基本温度（最佳范围：30-33°C）的情况下改进作物模型以增强对未来气候条件下甘蔗产量的预测的重要性。我们讨论了可能解释不同品种间RUEA差异的生理过程。将这些改进的机制纳入模型将支持更准确的气候影响评估，并有助于以开发高产甘蔗品种为重点的育种项目。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Agricultural and Forest Meteorology 农林科学-林学

CiteScore

10.30

自引率

9.70%

发文量

415

审稿时长

69 days

期刊介绍： Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.