A hierarchical Bayesian approach to assess the impact of environmental factors on soybean yield and yield components
Dividing soybean (Glycine max (L.) Merr) yield into several yield components, including the seeds per area and seed weight, offers better identification of the driver of yield variation, especially that is affected by environmental factors. The objectives of this study are to understand the relation...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_01028.pdf |
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