Chemical Topping and Planting Density Interactively Affect Cotton Growth and Partitioning Index
Due to the labor shortage, replacing manual topping with chemical topping has become an important practice in cotton-producing areas such as Xinjiang, China. Similarly, increasing planting density is a common strategy to enhance cotton yields. This study aimed to quantify the interactive effects of chemical topping and planting density on cotton growth and assimilate partitioning. To achieve this, a two-year (2020–2021) field experiment was conducted in Xinjiang, China. The main plots were assigned low (15 plants m−2) or high plant density (25 plants m−2), and the subplots were chemical topping using heavy amounts of mepiquat chloride (MC) or manual topping. The dynamics of dry matter accumulation and partitioning in cotton were well quantified using a beta-growth function with an overall nRMSE of 11.5%. Results indicated that chemical topping increased aboveground dry matter maximum by 4.88%, fruit dry matter maximum by 17.9% and seed cotton yield by 14.0% compared to manual topping. At low plant density, the partitioning index between vegetative and reproductive organs showed no significant differences. However, at high plant density, the time when 50% of assimilate partitioning to reproductive organs for chemical topping was 2.6 physiological days (under optimal temperature conditions) delayed than that for manual topping, resulting in a 2.7 physiological days delay in the time that fruits reached maximum growth rate. The results of the study suggest that applying chemicals for topping a little earlier in high-density planting could reduce the negative effects of delayed boll growth and promote carbon assimilate partitioning to fruit growth.
Authors
- Zeshan Zhang
- Dao Xiang
- Pengzhong Zhang
- Yongfan Chen
- Lizhen Zhang (ORCID: https://orcid.org/0000-0003-1606-6824)
- Fen Ji (ORCID: https://orcid.org/0000-0002-2869-103X)
- Mingfeng Yang (ORCID: https://orcid.org/0009-0002-7772-4827)
- Shuai Sun (ORCID: https://orcid.org/0000-0002-5785-9989)
- Sen Wang (ORCID: https://orcid.org/0000-0002-6621-5325)
- Xuejiao Wang (ORCID: https://orcid.org/0000-0003-4327-2340)
- Yutong Zhang
- Xuelian Tang
Institutions
- China Meteorological Administration (CN)
- Xinjiang Astronomical Observatory (CN)
- Xinjiang Academy of Agricultural Sciences (CN)
- China Agricultural University (CN)
Publication Details
- Journal
- Agronomy
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3390/agronomy14123011
- Citations
- 3
- Primary Topic
- Research in Cotton Cultivation
- Type
- article
- Field-Weighted Citation Impact
- 1.80
Funders
- National Natural Science Foundation of China