Physiological Trade-Offs Between Biomass Yield and Nutritional Quality of Sweet Sorghum Regulated by Planting Density and Mowing in Semiarid Drylands

Feed shortage and water scarcity critically constrain livestock production in semiarid regions, yet the interactive mechanism of growth by which planting density and mowing shape the trade-off between biomass yield and nutritional quality remain poorly quantified for rainfed sweet sorghum (Sorghum bicolor L. Moench). The Loess Plateau is located in the north-central part of China. It belongs to the semiarid continental monsoon climate and is mainly rainfed by agriculture. A two-year field experiment (2023–2024) was conducted in this region to investigate how four planting densities (50,000, 70,000, 90,000 and 110,000 plants·ha−1) and two mowing regimes regulate plant morphology, root development and comprehensive nutritional traits. Compared with a mowing treatment, a non-mowing treatment significantly increased dry matter yield from 8.54 t·ha−1 to 21.59 t·ha−1 (an increase of 152.7%) in 2023 and from 10.32 t·ha−1 to 20.91 t·ha−1 (an increase of 102.6%) in 2024. Increasing planting density elevated population biomass, with the 90,000 plants·ha−1 treatment optimally balancing individual growth and interplant resource competition. Mowing reduced stem diameter, leaf area index, and root biomass, thereby lowering fiber concentration but suppressing total dry matter accumulation. Structural equation modeling (GFI = 0.937) quantified this dual effect: mowing exerted a strong negative direct effect on dry matter yield (path coefficient = −4.211, explaining 94.9% of the yield variance) but indirectly improved nutritional quality by thinning stems to optimize leaf allocation. Integrated random forest and radar chart multi-index evaluation identified non-mowing at 90,000 plants·ha−1 as the optimal cultivation regime (comprehensive score Y = 0.917), which coordinated population biomass and nutritional performance while delivering a 23.3% higher net profit than conventional mowing treatments. This study revealed the physiological trade-off path between biomass productivity of sorghum and its quality under drought stress under rainfed conditions on the Loess Plateau and provides a quantitative, replicable evaluation framework to optimize agronomic management for sweet sorghum and analogous C4 crops in global semiarid rainfed ecosystems, offering practical strategies for sustainable forage production.

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Journal
Agronomy
Published
2026-09-15
DOI
https://doi.org/10.3390/agronomy16181814
Primary Topic
Bioenergy crop production and management
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Physiological Trade-Offs Between Biomass Yield and Nutritional Quality of Sweet Sorghum Regulated by Planting Density and Mowing in Semiarid Drylands

Congze Jiang, Zhongli Li, Xianlong Yang, Ruibin Tian et al.
Agronomy
Bioenergy crop production and management
article

Physiological Trade-Offs Between Biomass Yield and Nutritional Quality of Sweet Sorghum Regulated by Planting Density and Mowing in Semiarid Drylands

Congze Jiang, Zhongli Li, Xianlong Yang, Ruibin Tian, Yongli Lu
article en

Abstract

Feed shortage and water scarcity critically constrain livestock production in semiarid regions, yet the interactive mechanism of growth by which planting density and mowing shape the trade-off between biomass yield and nutritional quality remain poorly quantified for rainfed sweet sorghum (Sorghum bicolor L. Moench). The Loess Plateau is located in the north-central part of China. It belongs to the semiarid continental monsoon climate and is mainly rainfed by agriculture. A two-year field experiment (2023–2024) was conducted in this region to investigate how four planting densities (50,000, 70,000, 90,000 and 110,000 plants·ha−1) and two mowing regimes regulate plant morphology, root development and comprehensive nutritional traits. Compared with a mowing treatment, a non-mowing treatment significantly increased dry matter yield from 8.54 t·ha−1 to 21.59 t·ha−1 (an increase of 152.7%) in 2023 and from 10.32 t·ha−1 to 20.91 t·ha−1 (an increase of 102.6%) in 2024. Increasing planting density elevated population biomass, with the 90,000 plants·ha−1 treatment optimally balancing individual growth and interplant resource competition. Mowing reduced stem diameter, leaf area index, and root biomass, thereby lowering fiber concentration but suppressing total dry matter accumulation. Structural equation modeling (GFI = 0.937) quantified this dual effect: mowing exerted a strong negative direct effect on dry matter yield (path coefficient = −4.211, explaining 94.9% of the yield variance) but indirectly improved nutritional quality by thinning stems to optimize leaf allocation. Integrated random forest and radar chart multi-index evaluation identified non-mowing at 90,000 plants·ha−1 as the optimal cultivation regime (comprehensive score Y = 0.917), which coordinated population biomass and nutritional performance while delivering a 23.3% higher net profit than conventional mowing treatments. This study revealed the physiological trade-off path between biomass productivity of sorghum and its quality under drought stress under rainfed conditions on the Loess Plateau and provides a quantitative, replicable evaluation framework to optimize agronomic management for sweet sorghum and analogous C4 crops in global semiarid rainfed ecosystems, offering practical strategies for sustainable forage production.

AgronomyVol. 16(18)
Gansu Agricultural University (CN), Lanzhou University (CN)
Openalex Percentile: Top 10%
Bioenergy crop production and management
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