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Optimizing Carbon Partitioning in Sweet Sorghum: A GGE Biplot and Multivariate Assessment of Biomass–Sugar Trade-Offs and Bioethanol Stability Across Water Regimes

スイートソルガムにおける炭素分配の最適化：水条件間のバイオマスと糖のトレードオフおよびバイオエタノールの安定性に関するGGEバイプロットおよび多変量評価 (AI 翻訳)

Ali Devlet

Sustainability📚 査読済 / ジャーナル2026-05-16#再生可能エネルギー
DOI: 10.3390/su18105029
原典: https://doi.org/10.3390/su18105029

🤖 gxceed AI 要約

日本語

本研究は、5つのスイートソルガム遺伝子型を用いて、灌漑および天水条件下でのバイオマス収量と糖濃度のトレードオフを調査し、炭素分配がバイオエタノールポテンシャルに与える影響を評価した。結果は、遺伝子型と水条件の相互作用が有意であり、全体として灌漑下で品種「Teide」が最大のエタノール収量（1690.7 L/ha）を示した一方、天水条件下では「Nutrihang」が優れた。結論として、水制限環境でのバイオエネルギーシステム最適化には、水利用可能量に基づく原料選択が重要である。

English

This study assessed the trade-off between biomass yield and sugar concentration in five sweet sorghum genotypes under irrigated and rain-fed regimes. The hybrid 'Teide' achieved the highest bioethanol yield (1690.7 L/ha) under irrigation, while 'Nutrihang' led under rain-fed conditions. The results highlight the need for feedstock selection based on water availability to optimize bioenergy systems in water-limited environments.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

In the global GX context

This paper provides empirical data on the interaction between water availability and bioenergy crop performance, which is relevant for designing resilient bioenergy systems in a changing climate. The GGE biplot methodology offers a tool for identifying stable genotypes across environments, applicable to global bioenergy feedstock improvement programs.

👥 読者別の含意

🔬研究者:The GGE biplot approach and the identified trade-offs provide a methodological framework for analyzing genotype-by-environment interactions in bioenergy crops.

🏢実務担当者:Bioenergy project developers can use the genotype recommendations to select sweet sorghum varieties suited to irrigated or rain-fed conditions, improving ethanol yield stability.

🏛政策担当者:The findings support the inclusion of water-stress tolerant sorghum varieties in national bioenergy strategies to reduce competition with food crops for irrigation water.

📄 Abstract（原文）

This study investigates the physiological trade-off between biomass yield and sugar concentration in five sweet sorghum genotypes to evaluate how carbon partitioning influences bioethanol potential. Field experiments were conducted over the 2019–2020 seasons in the East Marmara transitional zone of Türkiye, under irrigated and rain-fed regimes. Results revealed a highly significant genotype × water regime interaction (p < 0.001). A distinct trade-off was identified: while the hybrid ‘Teide’ maximized juice volume under irrigation (2427.67 L ha−1), ‘Leoti’ maintained superior sugar stability (18.38 °Brix) under moisture deficit. Genotype plus Genotype × Environment Interaction (GGE) biplot analysis indicated that ‘Early Sumac’ provided the highest environmental buffering, balancing productivity and sugar density across water regimes. Principal Component Analysis (PCA) demonstrated that plant height (averaging 214.2 cm) was positively associated with juice yield and concentration. Under irrigation, ‘Teide’ produced the highest bioethanol yield (1690.7 L ha−1), whereas ‘Nutrihang’ led output under rain-fed conditions. While these site-specific trends offer valuable insights into local bioenergy stability, further multi-location trials are necessary to confirm these patterns on a broader scale. The findings conclude that feedstock selection must be categorized by water availability to optimize sweet sorghum-based bioenergy systems in water-limited environments.

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