Identification of the predictors of preference for alfalfa hay by equines

Kátia De Oliveira;Janaína Carolina De Sá;Ciniro Costa;Meirelles, Paulo Roberto De Lima;Fachiolli, Daniele Floriano;Pereira, Amanda Mantovani

Description

SUMMARY The purpose of this study was to identify predictors of preference for alfalfa hay by equines. A total of 15 quarter horses, at average age and body weight of 10 years and 500 kg were used, respectively. It was conducted an evaluation to identify the preference for alfalfa hay by horses by short-period tests of 10 min. This evaluation was conducted in pairs for each test hay (1-30), available on the market, against each standard (A, B, C), until the completion of all resulting combinations. Alfalfa hays classified as A, B and C, contained on average 22.88, 17.78 and 13.16% of crude protein, respectively. The evaluated variables were constituted by ethological, morphological, microbiological, bromatological and biological analysis. The horses showed a preference for the type A of alfalfa hay, followed by type B and C. The preference for alfalfa hay type A can be predicted by the equation: Pref . A = − 98.19 + 1.61 ( acid detergent fiber ) + 1.53 ( in vitro dry matter digestibility ) + 18.54 ( stem thickness ) − 0.03 ( acid detergent fiber x in vitro dry matter digestibility ) − 0.02 ( acid detergent fiber x stem thickness ) − 0.28 ( in vitro dry matter digestibility x stem thickness ) , r 2 = 0.31 , P = 0.0044. It was concluded that horses showed preference to alfalfa hay, wherein the best type A bales. Therefore to predict of preference of the equines for high quality alfalfa hay it's necessary to select bales with lower values of stem thickness and fiber in acid detergent, as well as presenting high level of dry matter digestibility.

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Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

SciELO journals

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

General Agricultural and Biological Sciences

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

98%

Source

Open Alex

Keywords

100199 Agricultural Biotechnology not elsewhere classifiedFOS: Agricultural biotechnology

Normalization Factors

FT

59.62

CTw

1.00

MTw

1.00