Bow wow XS sausages with poultry, collagen, yucca, and inulin 6pcs

Code: F441K
3 ratings
Brand: Bow Wow
€5,88
On stock (>5 sáček)
Delivery to:
8/11/2024

DOG TREATS JELLY FOR STRONG JOINTS
A tasty reward enriched with Yucca. Natural preservatives and high collagen content ensure your four-legged companions get the best of the best.

Detailed information

Product detailed description

The combination of glucosamine, chondroitin and collagen provides your dog with comprehensive joint health support, helping to maintain cartilage elasticity, protect joint tissue and improve overall mobility and comfort.

Yucca helps to detoxify the body and improve liver function, which supports your dog's digestive health and improves his appetite.

Our Jelly Treats contain real beef jerky for exceptional flavor that will delight your dog with its taste. It is the bottom layer of the beef skin.

Safe for chewing: Our treats are designed to be safe for chewing, providing your dog with not only a fun, but also enjoyable way to keep teeth and gums in shape. 

Ingredients: beef hide split, beef collagen 32%, rice, meat and animal products, poultry liver 1.3%, inulin (chicory) 0.4%, peas, minerals, yucca (80 mg/kg), glucosamine (80 mg/kg), chondroitin (20 mg/kg).

Additives: colouring matter, natural preservative.

Dosage: Give as a reward and ensure that your pet has access to sufficient drinking water. Supervised feeding is recommended.

Weight, shape, volume, color and scent may vary significantly from batch to batch.

Logistics details:

  • BAG (contains min. 600g)
    Dimension: 40.0 x 20.0 x 3.0 (in centimetres)
    EAN: 8595042609059
  • TRANSPORT BOX (contains 9 bags)
    Dimension: 39.0 x 23.5 x 19.7 (in centimeters)
    EAN: 8595042602883

Product list

Additional parameters

Category: Jelly
Warranty: 18 months from the date of manufacture
Flavor: Poultry
Function: Digestive support, For healthy joints
Functional supplement: Yucca, Chondroitin, Glukosamin, Kolagen
? Hardness: Semi soft
Ingredients: Naturally preserved, Collagen-based

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