Multi-year evaluation of planting date and cultivar effects on cotton yield, fiber quality, and their temporal stability in a cotton–wheat double-cropping system in the Yellow River Valley of China

Optimizing planting date and cultivar choice is essential for balancing lint yield, fiber quality, and production stability in wheat-cotton double-cropping systems. However, their combined effects on yield-quality trade-offs and temporal stability (defined as the temporal mean divided by the temporal standard deviation) remain insufficiently quantified. A five-year field experiment (2019–2023) was conducted in the Yellow River Valley to evaluate four planting dates (PD1-PD4; May 10-June 10) and two contrasting short-season cotton cultivars (high-quality JK707; high-lint yield LM2387) with respect to lint yield, fiber quality, temporal stability, and trait trade-offs. Lint yield was significantly affected by both planting date and cultivar, peaking under the earliest planting (1229 kg ha −1 at PD1) and declined by 34.4 % under the latest planting (PD4). Fiber quality was predominantly genotype-driven, with cultivar significantly affecting all traits and planting date influencing only micronaire. JK707 achieved substantially higher Q-scores than LM2387 (66.84 vs. 46.97). Temporal stability indices revealed contrasting cultivar strategies: LM2387 showed high lint yield temporal stability under early planting (TS_LY=6.30 in PD1) but sharp declines under later dates (TS_LY=2.29 in PD4), whereas JK707 maintained relatively consistent lint-yield temporal stability across planting dates (TS_LY = 2.11–3.16) and greater stability in fiber quality traits. Yield-quality trade-offs were stronger in LM2387 (index 0.713 vs. 0.208) and were weakened by delayed planting due to concurrent reductions in yield and quality. A TOPSIS multi-criteria evaluation integrating lint yield, Q-score, and their temporal stability identified JK707 sown in PD2 as the optimal combination (Cᵢ = 0.57), followed by LM2387 in PD1 (Cᵢ = 0.531), whereas PD4 consistently produced the poorest performance. Aligning planting time with cultivar traits thus enhances production robustness and reduces climate-related risk, offering practical guidance for sustainable and climate-resilient intensification of wheat–cotton double-cropping systems and potentially benefiting similar systems worldwide. • Yield–quality trade-offs were stronger in LM2387, and delayed sowing weakened the trade-off but reduced yield. • Later sowing lowered micronaire and improved fiber length but caused major yield losses. • TOPSIS identified JK707 at normal sowing as the optimal yield–quality–stability combination.

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Publication Details

Journal
Industrial Crops and Products
Published
2026-02-13
DOI
https://doi.org/10.1016/j.indcrop.2026.122890
Primary Topic
Research in Cotton Cultivation
Type
article
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article

Multi-year evaluation of planting date and cultivar effects on cotton yield, fiber quality, and their temporal stability in a cotton–wheat double-cropping system in the Yellow River Valley of China

Mengyan Ren, Simeng Guo, Xiaofei Li, Lu Feng et al.
Industrial Crops and Products
Research in Cotton Cultivation
article

Multi-year evaluation of planting date and cultivar effects on cotton yield, fiber quality, and their temporal stability in a cotton–wheat double-cropping system in the Yellow River Valley of China

Mengyan Ren, Simeng Guo, Xiaofei Li, Lu Feng, Guoping Wang, Minghua Xin
article en

Abstract

Optimizing planting date and cultivar choice is essential for balancing lint yield, fiber quality, and production stability in wheat-cotton double-cropping systems. However, their combined effects on yield-quality trade-offs and temporal stability (defined as the temporal mean divided by the temporal standard deviation) remain insufficiently quantified. A five-year field experiment (2019–2023) was conducted in the Yellow River Valley to evaluate four planting dates (PD1-PD4; May 10-June 10) and two contrasting short-season cotton cultivars (high-quality JK707; high-lint yield LM2387) with respect to lint yield, fiber quality, temporal stability, and trait trade-offs. Lint yield was significantly affected by both planting date and cultivar, peaking under the earliest planting (1229 kg ha −1 at PD1) and declined by 34.4 % under the latest planting (PD4). Fiber quality was predominantly genotype-driven, with cultivar significantly affecting all traits and planting date influencing only micronaire. JK707 achieved substantially higher Q-scores than LM2387 (66.84 vs. 46.97). Temporal stability indices revealed contrasting cultivar strategies: LM2387 showed high lint yield temporal stability under early planting (TS_LY=6.30 in PD1) but sharp declines under later dates (TS_LY=2.29 in PD4), whereas JK707 maintained relatively consistent lint-yield temporal stability across planting dates (TS_LY = 2.11–3.16) and greater stability in fiber quality traits. Yield-quality trade-offs were stronger in LM2387 (index 0.713 vs. 0.208) and were weakened by delayed planting due to concurrent reductions in yield and quality. A TOPSIS multi-criteria evaluation integrating lint yield, Q-score, and their temporal stability identified JK707 sown in PD2 as the optimal combination (Cᵢ = 0.57), followed by LM2387 in PD1 (Cᵢ = 0.531), whereas PD4 consistently produced the poorest performance. Aligning planting time with cultivar traits thus enhances production robustness and reduces climate-related risk, offering practical guidance for sustainable and climate-resilient intensification of wheat–cotton double-cropping systems and potentially benefiting similar systems worldwide. • Yield–quality trade-offs were stronger in LM2387, and delayed sowing weakened the trade-off but reduced yield. • Later sowing lowered micronaire and improved fiber length but caused major yield losses. • TOPSIS identified JK707 at normal sowing as the optimal yield–quality–stability combination.

Industrial Crops and ProductsVol. 242
Zhengzhou University (CN), Cotton Research Institute (CN), Chinese Academy of Agricultural Sciences (CN)
No poverty
Openalex Percentile: Top 57%
Research in Cotton Cultivation
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