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Evaluation of the DSSAT-CANEGRO model for simulating the growth of energy cane (Saccharum spp.), a biofuel feedstock crop
Crop Science ( IF 2.3 ) Pub Date : 2021-09-23 , DOI: 10.1002/csc2.20648
Pramod Pokhrel 1 , Nithya Rajan 1 , John Jifon 2 , William Rooney 1 , Russell Jessup 1 , Jorge da Silva 2 , Juan Enciso 2 , Ahmed Attia 3
Affiliation  

The Decision Support System for Agrotechnology Transfer for sugarcane (DSSAT-CANEGRO) was evaluated for simulating the growth of energy cane (Saccharum spp. hybrid), a perennial biofuel feedstock crop. Plant growth data collected from a field experiment conducted in the semi-arid Texas Rolling Plains was used for model calibration and validation. All model performance indicators showed good agreement between simulated and measured biomass accumulation. After calibration, model was used for simulating plant cane and ratoon biomass yield using long-term (i.e., 33-year) historic weather data under rainfed and two irrigation levels. The irrigated treatments were a) 300 mm seasonal supplementary irrigation and b) auto-irrigation to replenish soil water in the profile to field capacity. The long-term average biomass yield of plant cane (6.4 ± 0.47 Mg ha–1) and ratoon (14.4 ± 0.92 Mg ha–1) were the lowest when simulated under rainfed conditions. Supplemental irrigation with 300 mm irrigation water significantly increased yield of both crops (14.6 ± 0.53 Mg ha–1 for plant cane and 29.5 ± 1.33 Mg ha–1 for ratoon). The auto-irrigation option substantially increased the amount of water applied and resulted in an average biomass of 16.7 ± 0.24 Mg ha–1 for plant cane and 44.4 ± 0.36 Mg ha–1 for ratoon. Biomass water use efficiency was the highest for ratoon due to its longer growing season. This modeling study showed reasonable performance of DSSAT-CANEGRO for simulating energy cane growth. Irrigation experiments using historical data showed energy cane as a competitive biomass crop in the Texas Rolling Plains region.

中文翻译:

DSSAT-CANEGRO 模型用于模拟能源甘蔗(Saccharum spp.)(一种生物燃料原料作物)生长的评估

甘蔗农业技术转让决策支持系统 (DSSAT-CANEGRO) 用于模拟能量甘蔗 ( Saccharum ) 生长的评估spp. hybrid),一种多年生生物燃料原料作物。从在半干旱的德克萨斯滚动平原进行的田间试验中收集的植物生长数据用于模型校准和验证。所有模型性能指标显示模拟和测量的生物量积累之间的良好一致性。校准后,该模型用于利用雨养和两种灌溉水平下的长期(即33 年)历史天气数据模拟植物甘蔗和宿根的生物量产量。灌溉处理是 a) 300 毫米季节性补充灌溉和 b) 自动灌溉以补充剖面中的土壤水分以达到田间容量。植物甘蔗 (6.4 ± 0.47 Mg ha –1 ) 和宿根 (14.4 ± 0.92 Mg ha –1 )的长期平均生物量产量) 在雨养条件下模拟时最低。用 300 毫米灌溉水补充灌溉显着增加了两种作物的产量(植物甘蔗为 14.6 ± 0.53 Mg ha -1 ,宿根为29.5 ± 1.33 Mg ha -1)。自动灌溉选项显着增加了用水量,导致植物甘蔗的平均生物量为 16.7 ± 0.24 Mg ha -1 ,而宿根的平均生物量为44.4 ± 0.36 Mg ha -1。生物质用水效率最高的是宿根,因为它的生长期较长。该建模研究显示了 DSSAT-CANEGRO 在模拟能量甘蔗生长方面的合理性能。使用历史数据的灌溉实验表明,能源甘蔗在德克萨斯州滚动平原地区是一种具有竞争力的生物质作物。
更新日期:2021-09-23
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