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Impact of animal density on cattle nutrition in dry Mediterranean rangelands: a faecal near-IR spectroscopy-aided study

Published online by Cambridge University Press:  17 July 2017

S. Y. Landau*
Affiliation:
Department of Natural Resources, Agricultural Research Organization, Volcani Center, Institute of Plant Sciences, Bet Dagan 50250, Israel
L. Dvash
Affiliation:
Department of Natural Resources, Agricultural Research Organization, Volcani Center, Institute of Plant Sciences, Bet Dagan 50250, Israel
Y. Yehuda
Affiliation:
Northern R&D, PO Box 831, Kiryat Shmona 11016Israel
H. Muklada
Affiliation:
Department of Natural Resources, Agricultural Research Organization, Volcani Center, Institute of Plant Sciences, Bet Dagan 50250, Israel
G. Peleg
Affiliation:
Cattle Division, Extension Service, Ministry of Agriculture and Rural Development, Bet Dagan 50250Israel
Z. Henkin
Affiliation:
Beef Cattle Section, Department of Natural Resources, Agricultural Research Organization, Newe-Ya’ar Research Center, PO Box 1021, Ramat Yishay 30095Israel
H. Voet
Affiliation:
Department of Environmental Economics and Management, Faculty of Agricultural, Food and Environmental Sciences, The Robert H. Smith Institute for Plant Sciences and Genetics in Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
E. D. Ungar
Affiliation:
Department of Natural Resources, Agricultural Research Organization, Volcani Center, Institute of Plant Sciences, Bet Dagan 50250, Israel
*
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Abstract

In the context of determining the sustainable carrying capacity of dry-Mediterranean herbaceous rangelands, we examined the effect of animal density on cattle nutrition, which is fundamental to animal performance and welfare. The effects on dietary components of low (0.56 cows/ha; L) and high (1.11 cows/ha; H) animal densities were monitored for three consecutive years in grazing beef cows. In the dry season (summer and early autumn), cows had free access to N-rich poultry litter (PL) given as a dietary supplement. In each season, near-IR spectroscopy (NIRS) was used to predict the chemical composition of herbage samples (ash, NDF, CP, in vitro dry matter digestibility (IVDMD) and metabolizable energy (ME) content from IVDMD). Near-IR spectroscopy was applied also to faecal samples to determine the chemical composition of the diet selected by the animal, as well as the contents of ash, NDF and CP in the faeces themselves. A faecal-NIRS equation was applied to estimate the dietary proportion of PL. Seasonal categories were green, dry without PL supplementation and dry with it. We found no effects of animal density on nutrition during the green season but effects were apparent when cows consumed dry pasture. Ash content predicted by faecal NIRS was higher in the diet than in plant samples clipped from pasture, which infers that cows ingested soil. Dietary and faecal ash contents were higher (P<0.05) at the H, implying greater soil intake in these animals. During the dry period, dietary contents of ME were higher in L than in H (P<0.05). Poultry litter supplementation was associated with a marked increase (P<0.01) in dietary and faecal CP contents. Poultry litter represented 0.45 and 0.59 of the diet in treatments L and H, respectively (P<0.05). Consequently, treatment H had higher faecal protein (P<0.05). A tendency of higher dietary protein (P=0.08) and lower dietary NDF (P=0.10) in treatment H was probably related to greater PL ingestion. Given that high and sustained rates of poultry litter consumption are detrimental to animal health, the above results cast doubts on the long-term sustainability of the higher of the animal densities tested. Although it may be sustainable vis-à-vis the vegetation, treatment H may have exceeded the boundaries of what is acceptable for cow health. Chemical information revealed with NIRS can be used to evaluate whether animal densities are compatible with animal health and welfare standards and can play a role in determining the carrying capacity of Mediterranean rangelands.

Type
Research Article
Copyright
© The Animal Consortium 2017 

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