Urinary Creatinine as an Indicator of Water Intake in Sheep and Goats Sustainably Farmed in Tropical Climates

Mathematical models are valuable tools for predicting water intake in small ruminants, enhancing water use efficiency, reducing environmental pollution, alleviating competition for water with human consumption, and improving productive performance, ultimately leading to increased revenues and promoting sustainability. This study aims to evaluate creatinine as a metabolic marker for estimating water intake in sheep and goats and to develop predictive models for tropical conditions. Five Santa Inês crossbred sheep and five Boer crossbred goats were used in a replicated 5 × 5 Latin square design. Treatments consisted of titanium dioxide supplementation at 1.0, 1.75, 2.5, 3.25, and 4.0 g/day. A species effect was observed on dry matter intake. Significant correlations were identified between water intake, urinary volume, body weight, metabolic weight, and creatinine concentration. Negative correlations were observed between water intake and both dry matter intake and metabolic measures. Five mathematical models were developed to predict water intake, all of which demonstrated good predictive capacity. Among them, the equation ŶH2Og/kgBW = 164.72 − 6.60 × MBW + 0.025 × Creat (mg/L) proved most reliable. This model enables accurate estimation of water intake in sheep and goats, supporting more efficient water management and sustainability in tropical regions where water resources are limited.

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Publication Details

Journal
Sustainability
Published
2025-11-29
DOI
https://doi.org/10.3390/su172310709
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
Field-Weighted Citation Impact
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article

Urinary Creatinine as an Indicator of Water Intake in Sheep and Goats Sustainably Farmed in Tropical Climates

Evandro Pereira Neto, José Telo da Gama, Emanoela Souza-Conde, Stefanie Alvarenga Santos et al.
Sustainability
Effects of Environmental Stressors on Livestock
article

Urinary Creatinine as an Indicator of Water Intake in Sheep and Goats Sustainably Farmed in Tropical Climates

Evandro Pereira Neto, José Telo da Gama, Emanoela Souza-Conde, Stefanie Alvarenga Santos, Douglas dos Santos Pina, Beatriz Santana, Robério Rodrigues Silva, José Augusto Gomes Azevêdo, Raiane Barbosa Mendes, Gleidson Giordano Pinto de Carvalho, Henry Daniel Ruiz Alba, Manuela Silva Libano Tosto, Maria L. G. M. L. de Araújo
article en

Abstract

Mathematical models are valuable tools for predicting water intake in small ruminants, enhancing water use efficiency, reducing environmental pollution, alleviating competition for water with human consumption, and improving productive performance, ultimately leading to increased revenues and promoting sustainability. This study aims to evaluate creatinine as a metabolic marker for estimating water intake in sheep and goats and to develop predictive models for tropical conditions. Five Santa Inês crossbred sheep and five Boer crossbred goats were used in a replicated 5 × 5 Latin square design. Treatments consisted of titanium dioxide supplementation at 1.0, 1.75, 2.5, 3.25, and 4.0 g/day. A species effect was observed on dry matter intake. Significant correlations were identified between water intake, urinary volume, body weight, metabolic weight, and creatinine concentration. Negative correlations were observed between water intake and both dry matter intake and metabolic measures. Five mathematical models were developed to predict water intake, all of which demonstrated good predictive capacity. Among them, the equation ŶH2Og/kgBW = 164.72 − 6.60 × MBW + 0.025 × Creat (mg/L) proved most reliable. This model enables accurate estimation of water intake in sheep and goats, supporting more efficient water management and sustainability in tropical regions where water resources are limited.

SustainabilityVol. 17(23)
Universidade Federal da Bahia (BR), Universidade Federal do Oeste do Pará (BR), Universidade Estadual de Santa Cruz (BR), Southwest Bahia State University (BR), Governo do Distrito Federal (BR)
Openalex Percentile: Top 57%
Effects of Environmental Stressors on Livestock
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