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Python farming as a flexible and efficient form of agricultural food security

Abstract:
Diminishing natural resources and increasing climatic volatility are impacting agri-food systems, prompting the need for sustainable and resilient alternatives. Python farming is well established in Asia but has received little attention from mainstream agricultural scientists. We measured growth rates in two species of large pythons (Malayopython reticulatus and Python bivittatus) in farms in Thailand and Vietnam and conducted feeding experiments to examine production efficiencies. Pythons grew rapidly over a 12-month period, and females grew faster than males. Food intake and growth rates early in life were strong predictors of total lifetime growth, with daily mass increments ranging from 0.24 to 19.7 g/day for M. reticulatus and 0.24 to 42.6 g/day for P. bivittatus, depending on food intake. Pythons that fasted for up to 4.2 months lost an average of 0.004% of their body mass per day, and resumed rapid growth as soon as feeding recommenced. Mean food conversion rate for dressed carcasses was 4.1%, with useable products (dressed carcass, skin, fat, gall bladder) comprising 82% of the mass of live animals. In terms of food and protein conversion ratios, pythons outperform all mainstream agricultural species studied to date. The ability of fasting pythons to regulate metabolic processes and maintain body condition enhances food security in volatile environments, suggesting that python farming may offer a flexible and efficient response to global food insecurity.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-024-54874-4

Authors

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Role:
Author
ORCID:
0000-0002-3275-518X
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-5660-0799
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Role:
Author
ORCID:
0000-0003-0019-4813
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Role:
Author
ORCID:
0000-0001-9523-0463


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
14
Issue:
1
Pages:
5419-5419
Article number:
5419
Publication date:
2024-03-14
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
Pubs id:
1817652
Local pid:
pubs:1817652
Source identifiers:
W4392797744
Deposit date:
2026-06-09
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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