Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates

This study explores the optimisation of rearing substrates for black soldier fly larvae (BSFL). First, the ideal dry matter content of substrates was determined, comparing the standard 30% dry matter (DM) with substrates hydrated to their maximum water holding capacity (WHC). Substrates at maximal W...

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Main Authors: Laurens Broeckx, Lotte Frooninckx, Siebe Berrens, Sarah Goossens, Carmen ter Heide, Ann Wuyts, Mariève Dallaire-Lamontagne, Sabine Van Miert
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Insects
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Online Access:https://www.mdpi.com/2075-4450/16/1/77
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author Laurens Broeckx
Lotte Frooninckx
Siebe Berrens
Sarah Goossens
Carmen ter Heide
Ann Wuyts
Mariève Dallaire-Lamontagne
Sabine Van Miert
author_facet Laurens Broeckx
Lotte Frooninckx
Siebe Berrens
Sarah Goossens
Carmen ter Heide
Ann Wuyts
Mariève Dallaire-Lamontagne
Sabine Van Miert
author_sort Laurens Broeckx
collection DOAJ
description This study explores the optimisation of rearing substrates for black soldier fly larvae (BSFL). First, the ideal dry matter content of substrates was determined, comparing the standard 30% dry matter (DM) with substrates hydrated to their maximum water holding capacity (WHC). Substrates at maximal WHC yielded significantly higher larval survival rates (<i>p</i> = 0.0006). Consequently, the WHC approach was adopted for further experiments. Using these hydrated artificial substrates, fractional factorial designs based on central composite and Box–Behnken designs were employed to assess the impact of macronutrient composition on bioconversion efficiency. The results demonstrated significant main, interaction, and quadratic effects on bioconversion efficiency. Validation with real-life substrates of varied protein content, including indigestible feather meal, affirmed the predictive model’s accuracy after accounting for protein source digestibility. This research underscores the importance of optimal hydration and macronutrient composition in enhancing BSFL growth and bioconversion efficiency.
format Article
id doaj-art-c17b02a9f89e45499331dd9af33af5f2
institution Kabale University
issn 2075-4450
language English
publishDate 2025-01-01
publisher MDPI AG
record_format Article
series Insects
spelling doaj-art-c17b02a9f89e45499331dd9af33af5f22025-01-24T13:35:48ZengMDPI AGInsects2075-44502025-01-011617710.3390/insects16010077Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial SubstratesLaurens Broeckx0Lotte Frooninckx1Siebe Berrens2Sarah Goossens3Carmen ter Heide4Ann Wuyts5Mariève Dallaire-Lamontagne6Sabine Van Miert7Centre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumDépartement des Sciences Animales, Faculté des Sciences de L’Agriculture et de L’Alimentation, Université Laval, 2425 rue de l’Agriculture, Québec, QC G1V 0A6, CanadaCentre of Expertise Sustainable Biomass and Chemistry, Campus Geel, Thomas More University of Applied Sciences, Kleinhoefstraat 4, 2440 Geel, BelgiumThis study explores the optimisation of rearing substrates for black soldier fly larvae (BSFL). First, the ideal dry matter content of substrates was determined, comparing the standard 30% dry matter (DM) with substrates hydrated to their maximum water holding capacity (WHC). Substrates at maximal WHC yielded significantly higher larval survival rates (<i>p</i> = 0.0006). Consequently, the WHC approach was adopted for further experiments. Using these hydrated artificial substrates, fractional factorial designs based on central composite and Box–Behnken designs were employed to assess the impact of macronutrient composition on bioconversion efficiency. The results demonstrated significant main, interaction, and quadratic effects on bioconversion efficiency. Validation with real-life substrates of varied protein content, including indigestible feather meal, affirmed the predictive model’s accuracy after accounting for protein source digestibility. This research underscores the importance of optimal hydration and macronutrient composition in enhancing BSFL growth and bioconversion efficiency.https://www.mdpi.com/2075-4450/16/1/77black soldier flymacronutrientsmodellingbioconversionartificial substrates
spellingShingle Laurens Broeckx
Lotte Frooninckx
Siebe Berrens
Sarah Goossens
Carmen ter Heide
Ann Wuyts
Mariève Dallaire-Lamontagne
Sabine Van Miert
Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
Insects
black soldier fly
macronutrients
modelling
bioconversion
artificial substrates
title Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
title_full Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
title_fullStr Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
title_full_unstemmed Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
title_short Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates
title_sort macronutrient based predictive modelling of bioconversion efficiency in black soldier fly larvae i hermetia illucens i through artificial substrates
topic black soldier fly
macronutrients
modelling
bioconversion
artificial substrates
url https://www.mdpi.com/2075-4450/16/1/77
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