The book can be considered a valuable attempt to prepare the fibre production sector for rapid changes and innovations arising within a globalised world.
It deals with a wide scope of fibre animals and a great variety of subjects and is supported by the Animal Fibre Working Group belonging to the European Association of Animal Production. Indirect selection of growth traits through NiT traits produced a better predicted response than directly measuring Body Weight (13–23%), demonstrating that this methodological approach is highly cost-effective in terms of accuracy and data processing time.This book, 'Fibre production in South American camelids and other fibre animals', covers the latest advances in the main fields of animals producing fibre.
Image analysis artifacts such as fin unfold or shades, that may interfere in the precision of some digital measurements, were discarded as a major bias factor since heritability of NiT traits after correcting them were no significantly different from original ones. In general, genetic correlations between mNiT, cNiT and growth and traits were high and positive. Heritability for growth traits was medium (0.25–0.37) whereas for NiT traits medium-high (0.24–0.61). All animals were photographed, and digitally measured and main genetic parameters were estimated. Their potential to be used in industrial breeding programs were evaluated in 2348 offspring reared under different production systems (estuarine ponds, oceanic cage, inland tank) at harvest. In this study, a total of 18 novel productive traits, three related to carcass and fifteen related to morphometric ), were measured in gilthead seabream ( Sparus aurata) using Non-invasive Technologies (NiT) as implemented in IMAFISH_ML (MatLab script).
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