Estimation of apparent dietary nutrient digestibility in Yellowtail Kingfish Seriola lalandi by Near-Infrared Spectroscopy (NIRS)

Simon, Cedric J.; Bourne, Nicholas; Hines, Barney M.; Pirozzi, Igor; Booth, Mark A.

doi:10.1016/j.aquaculture.2021.737624

Cited by 4 publications

(2 citation statements)

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“…Near-infrared (NIR) spectroscopy has been used as a tool to estimate apparent digestibility (Glencross et al 2015;Glencross et al 2017;Simon et al 2022). These authors developed NIR models to predict the nutrient content of diets and faeces from barramundi (Lates calcarifer), rainbow trout (Oncorhynchus mykiss) and yellowtail kingfish (Seriola lalandi).…”

Section: Measuring Digestibilitymentioning

confidence: 99%

Aquaculture nutrition in Australia: challenges and trends

et al. 2023

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This review provides an outline of some of the challenges facing nutritionists in the Australian aquaculture industry. It commences with a brief description of how aquaculture nutrition differs from that for terrestrial livestock – the challenges of providing nutrition in aqueous environments, the diversity of species and the high trophic level of most. Specific challenges of aquaculture nutrition are then discussed in further detail, including the difficulty of measuring feed intake and digestibility, the limited ability to use carbohydrates for carnivores, and the specific requirements of species for lipids, including cholesterol, phospholipids, long-chain polyunsaturated fatty acids and carotenoids. The review then examines how environmental, social and governance concerns are leading to new trends in nutrition for the Australian industry. This includes topics such as the replacement of wild-caught fish meal and fish oil, in terms of both sources of omega-3 lipids and protein. For the former, possible solutions include greater use of seafood trimming, algal oil, and GMO-derived products. For the latter, solutions can include use of livestock render, plant protein meals, fermented products, and insects. Nutrient discharge is also a concern for the industry and nutritionist can assist by improving digestibility and nutrient retention from feeds. Finally, the carbon footprint of aquaculture is leading to new directions for industry and, in turn, for the field of aquaculture nutrition.

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Section: Measuring Digestibilitymentioning

confidence: 99%

Aquaculture nutrition in Australia: challenges and trends

et al. 2023

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“…Characterization of feed attributes including feed ingredients is constantly targeted by the aquafeed industry and quality control may be ideally reached through in-house R&D. Research database support development of predictive tools, including nutrient digestibility, allowing sampling of a batch of raw material and the prompt access to its nutritional features so that nutritional information becomes available within short periods (Moughan, 1999). Values of ADC may be further combined with available in vitro methodologies in the development of NIRs predictive models build upon consistent data sets (Raggi, 2016;Simon et al, 2022). Outputs of ADC should be ideally accompanied by suitable shrimp performance as a complimentary validation of digestibility data, i.e., ADC representing the e ciency of nutrient use and residue delivery as a consequence of intense biomass accumulation in a representative trial period (Carvalho and Phan, 1998).…”

Section: Introductionmentioning

confidence: 99%

Apparent amino acid digestibility of feed ingredients for juvenile shrimp (Litopenaeus vannamei): a new method of determination using soybean meal as an example

2023

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Literature information on apparent digestibility coe cients (ADC) of dietary nutrients in feedstuff for shrimp species dates to 1980´s though the nutritional consistency of ADC values determined in individual feed ingredients continues under scrutiny. This may be attributed to: a. the large variety of ingredients tested under a single standard methodology (i.e. the partial replacement of a reference diet mix by a xed proportion of the target ingredient), b. the complex effects of this dietary strategy upon palatability, digestion/digestibility, and consequently feeding rates, and c. nutrient leaching of diets during experiments. While the biological phenomenon behind ADC, the so-called "nutrient disappearance" between diet and feces through animal´s digestive system, is measured by the difference of nutrient and inert marker content in diet and feces, ADC of a feed ingredients has been mathematically calculated considering the difference in ADC from test (e.g. 30% replacement of a reference diet mash by the target ingredient) versus reference diet ADC and their nutrient content. The present study proposes the determination of individual amino acid ADC of soybean meal (SBM) based on the effect of inclusion of SBM in increasing dietary levels in four practical test diets (5, 10, 15 and 20% SBM, named diets T4, T5, T6 and T7, respectively) upon ADC of test diets. For comparison, the study also included three diets formulated under the standard replacement method (i.e. 10, 20 and 30% replacement of the reference diet mash by SBM, named diets T1, T2 and T3). The feeding trial was carried out under high shrimp performance with automated feeding (20-22h pellet delivery/day, minimized leaching), and daily feces collection over the trial period (55 days). The estimation of ADC of amino acids in SBM was based on ADC determined in test diets: ADC AA SBM = Mean [(ADC AA diet (T4, T5, T6 or T7) / ADC protein diet (T4, T5, T6 or T7) ) x ADC protein SBM ], diet ADC experimentally determined and an assigned ADC value of SBM true protein (ADC protein SBM ) estimated by three criteria: effect of increasing inclusion of SBM upon true protein ADC of test diet; additivity of digestible protein supplied by proteinaceous ingredients composing test diets T4 to T7, literature values and author's experience. Results by the new proposed method showed SBM ADC values between 76 and 88% for indispensable amino acids and contrasted with values obtained by applying the conventional replacement method at 30% inclusion of SBM into a reference diet (ADC AA : 87-96%). It was also checked either the improvement or reduction of certain individual amino acid ADC with increasing SBM inclusion level in diets. In conclusion, the new proposed methodology produced reduced and more realistic ADC values of amino acids compared the conventional method of ingredient replacement into a reference diet at one xed level. This new methodology for ADC determination is not intended to become an unquestionable reference but rather to offer an alternative view for more...

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