Fiber-specific increase of carotenoid content promotes cotton fiber elongation by increasing abscisic acid and ethylene biosynthesis

Zeng, Jianyan; Yao, Dan; Luo, Ming; Ding, Lingli; Wang, Yi; Yan, Xingying; Ye, Shue; Wang, Chuannan; Wu, Yichao; Zhang, Jingyi; Li, Yaohua; Ran, Lingfang; Dai, Yonglu; Chen, Yang; Wang, Fanlong; Lai, Hanyan; Liu, Nian; Fang, Nianjuan; Pei, Yan; Xiao, Yazhong

doi:10.1016/j.cj.2023.02.010

Cited by 4 publications

(1 citation statement)

References 78 publications

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“…Hence, this cotton can be very suitable for the clothing industry as a raw material and has significant advantages in terms of comfort and durability [7]. Longstaple cotton is in high demand in the global market, and China is a major country in the clothing manufacturing industry [7,8]. Thus, an urgent agenda includes improving cotton's quality and economic benefits and sustainably developing the cotton industry according to local conditions.…”

Section: Introductionmentioning

confidence: 99%

Predicting Ecologically Suitable Areas of Cotton Cultivation Using the MaxEnt Model in Xinjiang, China

Li,

Wu,

Gao

et al. 2023

Ecologies

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Cultivating cotton and sustaining its productivity are challenging in temperate arid regions around the globe. Exploring suitable cotton cultivation areas to improve productivity in such climatic regions is essential. Thus, this study explores the ecologically suitable areas for cotton cultivation using the MaxEnt model, having 375 distribution points of long-staple cotton and various factors, including 19 climatic factors, 2 terrain factors, and 6 soil factors in Xinjiang. The area under the curve (AUC) of the predicted results was greater than 0.9, indicating that the model’s predictions had fairly high accuracy. However, the main environmental factors that affected the cotton’s growth were the lowest temperature in the coldest month, the hottest month, the precipitation in the driest season, and the monthly average temperature difference. Further, the temperature factors contributed 71%, while the contribution ratio of terrain and soil factors was only 22%. The research indicated that the current planting area was consistent with the predicted area in many areas of the study. Still, some areas, such as the Turpan region northwest of Bayingolin Mongol Autonomous Prefecture, are supposed to be suitable for planting cotton, but it is not planted. The current potential distribution area of long-staple cotton is mainly located in Aksu Prefecture and the northern part of the Kashgar Prefecture region. The climatic prediction shows that the growing area of long-staple cotton may expand to southern Altay, central Aksu, and Bortala Mongol Autonomous Prefecture. This study will be helpful for cotton cultivation suitability areas in Xinjiang and other regions with similar environments.

show abstract

Section: Introductionmentioning

confidence: 99%

Predicting Ecologically Suitable Areas of Cotton Cultivation Using the MaxEnt Model in Xinjiang, China

Li,

Wu,

Gao

et al. 2023

Ecologies

View full text Add to dashboard Cite

show abstract

Upregulation of the glycine-rich protein-encoding gene GhGRPL enhances plant tolerance to abiotic and biotic stressors by promoting secondary cell wall development

Yu,

Dai,

Chen

et al. 2024

Journal of Integrative Agriculture

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Predicting Ecologically Suitable Areas of Cotton Cultivation Using Maxent Model in Xinjiang, China

Li,

Wu,

Gao

et al. 2023

Preprint

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Cotton cultivation and sustaining its productivity is challenging in temperate arid regions around the globe. Exploring suitable cotton cultivation areas to improve productivity in such climatic regions is essential. Thus, this study explores the ecologically suitable areas of cotton cultivation using the Maxent model, having 375 distribution points of long-staple cotton and various factors, including 19 climatic factors, 2 terrain factors, and 6 soil factors in Xinjiang. The area under the curve (AUC) of the predicted results was greater than 0.9, indicating that the model's predictions had fairly high accuracy. However, the main environmental factors that affect cotton's growth are the lowest temperature in the coldest month, the hottest month, the precipitation in the driest season, and the monthly average temperature difference. Further, the temperature factors contribute 71%, while the contribution ratio of terrain and soil factors is only 22%. The research shows that the current planting area is consistent with the predicted area in many areas of the study. Still, some areas, such as the Turpan region, northwest of Bayingolin Mongol Autonomous Prefecture, are supposed to be suitable for planting cotton, but it is not planted. The current potential distribution area of long-staple cotton is mainly located in Aksu Prefecture and the northern part of the Kashgar Prefecture region. The climatic prediction shows that the growing area of long-staple cotton may expand to southern Altay, central Aksu, and Bortala Mongol Autonomous Prefecture. This study will be helpful for cotton cultivation suitability areas in Xinjiang and other regions with similar environments.

show abstract

Fiber-specific increase of carotenoid content promotes cotton fiber elongation by increasing abscisic acid and ethylene biosynthesis

Cited by 4 publications

References 78 publications

Predicting Ecologically Suitable Areas of Cotton Cultivation Using the MaxEnt Model in Xinjiang, China

Predicting Ecologically Suitable Areas of Cotton Cultivation Using the MaxEnt Model in Xinjiang, China

Upregulation of the glycine-rich protein-encoding gene GhGRPL enhances plant tolerance to abiotic and biotic stressors by promoting secondary cell wall development

Predicting Ecologically Suitable Areas of Cotton Cultivation Using Maxent Model in Xinjiang, China

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