Optimizing maize Production: Balancing yield, quality, and economic benefits through planting density - Driven nutrient analysis
This study aimed to explore the possible changes in the contents of grain nutritional components and test weight when increasing maize yield by increasing planting density, and how to address the impacts of these changes on maize supply and demand. A two-year field experiment was conducted in Tongliao, Inner Mongolia Autonomous Region from 2020 to 2021. Using drip irrigation with integrated water and fertilizer technology, the experiment involved two maize hybrids, Dika 159 (DK159) and Xianyu 335 (XY335), at six planting densities (6.0, 7.5, 9.0, 11.5, 12.0, 13.5 × 10 4 plants per hectare). Research indicators included grain yield, test weight, the contents and yields of protein, starch, oil, and fiber, as well as the test weight of these four nutrients. Results showed that a reasonable increase in planting density could boost yield by 0.26–2.93 t ha-1. Although there were significant differences in test weight among treatments, all were first-grade test weight maize. Increasing planting density significantly increased starch and oil contents, and while it reduced protein content, the yields of the four nutrients increased significantly with higher grain yield and peaked at the highest grain yield. The protein test weight decreased significantly with increased density, while the starch test weight first increased and then decreased. Compared with traditional test weight-based pricing, the new maize pricing model developed in this study can better balance growers' production benefits and processing enterprises' quality requirements, providing a feasible approach to optimize maize production and enhance overall benefits. • There are significant differences in the nutritional quality of same grade maize. • Nutrient content test weight provides a more accurate assessment of maize quality. • Reference nutrient density can achieve specialized production of maize quality. • The new pricing model can improving maize production and processing efficiency.
Authors
- Guoqiang Zhang (ORCID: https://orcid.org/0000-0003-1522-1095)
- Bo Ming (ORCID: https://orcid.org/0000-0002-5384-8617)
- Yanan Guo (ORCID: https://orcid.org/0000-0002-1166-1504)
- Jun Xue (ORCID: https://orcid.org/0000-0001-7995-4357)
- Liang Fang (ORCID: https://orcid.org/0000-0002-1911-2454)
- Shaokun Li (ORCID: https://orcid.org/0000-0002-3361-9462)
- Linli Zhou (ORCID: https://orcid.org/0000-0003-1713-354X)
- Zhen Wang (ORCID: https://orcid.org/0000-0002-5509-0264)
- Lirong Sun
- Peng Hou (ORCID: https://orcid.org/0000-0002-1592-1473)
- Ruizhi Xie
- Keru Wang (ORCID: https://orcid.org/0000-0002-5485-1711)
- Zhigang Huo (ORCID: https://orcid.org/0009-0005-2855-2231)
- Bao Shao-lin
- Dongping Shen
- Shang Gao
Institutions
- Shihezi University (CN)
- Xinjiang Production and Construction Corps (CN)
- Tongliao Academy of Agricultural Sciences (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Institute of Crop Sciences (CN)
Publication Details
- Journal
- Journal of Agriculture and Food Research
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1016/j.jafr.2025.101943
- Citations
- 1
- Primary Topic
- Crop Yield and Soil Fertility
- Type
- article
- Field-Weighted Citation Impact
- 1.90
Funders
- National Natural Science Foundation of China
- Earmarked Fund for China Agriculture Research System
- National Key Research and Development Program of China
- Agricultural Science and Technology Innovation Program