Diet selection of sheep shifted from quality to quantity characteristics of forages as sward availability decreased.

Diet composition Forage quality Forage quantity Mongolian sheep Selectivity index

Journal

Animal : an international journal of animal bioscience
ISSN: 1751-732X
Titre abrégé: Animal
Pays: England
ID NLM: 101303270

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 07 11 2021
revised: 22 04 2022
accepted: 25 04 2022
pubmed: 1 6 2022
medline: 22 6 2022
entrez: 31 5 2022
Statut: ppublish

Résumé

Understanding the dynamic inter-relationship between grazing animals and the pasture sward is critical for sustainable grazing management. A field study was conducted to investigate the relationships between the quantity and quality characteristics of forages and diet selection of 30-kg Mongolian ewes in different seasons in Bromus inermis improved meadow steppe. Using a residual herbage mass method (1 000 kg/ha in spring, 800 kg/ha in summer and 600 kg/ha in autumn) to adjust stocking rate, three seasonal rest grazing strategies (spring rest, summer rest and autumn rest) combined with continuous grazing were studied. In each season, diet selection of sheep, quantified by diet composition and selectivity index, was estimated using a plant wax marker technique. Quantity (dry weight proportion, coverage, frequency, density and height) and quality (CP, NDF, ADF and DM digestibility) characteristics of forages consumed by sheep were determined simultaneously. Our results showed that in spring with the highest sward availability (herbage mass), diet selection of sheep could be predicted by the positive linear relationship between quality characteristics of forages and their selectivity index. In summer, the diet selection could be predicted by both positive linear relationship between quality characteristics and selectivity index, and the relationship between quantity characteristics and diet composition. While in autumn with the lowest sward availability, it could be predicted by the positive linear relationship between quantity characteristics and diet composition. During the whole grazing season, the diet composition of B. inermis (40.4%) and Leymus chinensis (35.1%) were larger than that of Potentilla bifurca (9.5%) and Carex (15.1%) and the selectivity index of P. bifurca was the highest (0.62), followed by Carex (0.17) and B. inermis (0.05), and L. chinensis (-0.29) was the lowest. The two parameters of diet selection above were positively related to their quantity and quality characteristics, respectively. These results suggested that the influence of quality characteristics on diet selection of sheep decreased gradually as a result of the decline in sward availability, while the influence of quantity characteristics increased. This study provides a comprehensive understanding of diet selection of sheep examining the trade-offs between quantity and quality characteristics of forages. The knowledge of diet selection of sheep and the corresponding prediction regressions acquired in this study could give the basis for designing appropriate grazing management strategies.

Identifiants

pubmed: 35636330
pii: S1751-7311(22)00097-0
doi: 10.1016/j.animal.2022.100546
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100546

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

H Zhang (H)

College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.

N Liu (N)

College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.

G W Yang (GW)

College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.

W B Badgery (WB)

New South Wales Department of Primary Industries, Agricultural Research Institute, Orange, New South Wales 2800, Australia.

Y P Guo (YP)

College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.

Y J Zhang (YJ)

College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China. Electronic address: zhangyj@cau.edu.cn.

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Classifications MeSH