Issue |
E3S Web Conf.
Volume 577, 2024
4th International Conference on Applied Sciences (ICAS 2024) “Multidisciplinary Research Collaboration for Environmental, Social, and Governance (ESG) Issues”
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Article Number | 02022 | |
Number of page(s) | 7 | |
Section | Social, Economies, Health, and Management Issues | |
DOI | https://doi.org/10.1051/e3sconf/202457702022 | |
Published online | 11 October 2024 |
Yield prediction and optimization of groundnut (Arachis hypogaea L.) under multiple cropping systems with corn (Zea mays L.)
1 Technology and Management of Plantation Production, College of Vocational Studies, IPB University (Bogor Agricultural University), Bogor, Indonesia.
2 Production Technology and Development of Agricultural Communities, College of Vocational Studies, IPB University (Bogor Agricultural University), Bogor, Indonesia.
3 Centre for Agrarian Studies, IPB University (Bogor Agricultural University), Bogor, Indonesia.
4 Study Program of Chemical Analysis, College of Vocational Studies, Bogor Agricultural University (IPB University), Jalan Kumbang No. 14, Bogor 16151, Indonesia
* Corresponding author: ediwiraguna@apps.ipb.ac.id
This study explores the impact of multiple cropping on groundnut (Arachis hypogaea L.) yield when intercropped with corn (Zea mays L.) at different ratios (1:1 and 1:2) compared to sole cropping. The study aimed to evaluate yield differences and the correlation between yield and morpho-agronomic traits. The experiment was conducted over two growing seasons (2022-2023) at the Agricultural Research Station. Results indicated that intercropping significantly reduced groundnut yield due to resource competition, with yields of 67.5 grams per plant in the 1:1 ratio and 70.6 grams in the 1:2 ratio, compared to 119.2 grams in sole cropping. Correlation analysis showed that yield was positively associated with pod number and fresh biomass but negatively correlated with leaf count. A predictive model for groundnut yield (2024-2026) was developed and validated, showing no significant difference between predicted and actual yields. The findings suggest that the 1:1 ratio is more effective in maintaining yield under multiple cropping systems and optimizing intercropping strategies to enhance agricultural productivity.
© The Authors, published by EDP Sciences, 2024
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