Objective: The present study aimed to quantify the effects of fermented soybean meal (FSBM) on broiler chickens' performance by employing a meta-analysis approach.Methods: A total of 16 studies were included in the database after being systematically selected using a PRISMA protocol. Hedges' g effect size was used to quantify pooled standardized mean difference (SMD) using random-effects models at 95% confidence intervals (95% CI). Publication bias among studies was computed with Egger's test and visualized using funnel plots.Results: Results indicated that dietary FSBM inclusion increased final body weight (BW) (SMD = 0.586, 95% CI: 0.221 to 0.951, pP = 0.002) of broiler chickens, particularly in starter period (SMD = 0.691, 95% CL: 0.149 to 1.233, pP = 0.013) while in the finisher period, the effect was weaker (SMD = 0.509, 95% CI: 0.015 to 1.004, pP = 0.043). Average daily gain (ADF), feed intake (FI), and feed conversion ratio (FCR) were not affected with FSBM inclusion when compared to control. Subgroup analysis revealed that FI increased in starter period (SMD = 0.582, 95% CI: 0.037 to 1.128, pP = 0.036). When considering types of microorganism as moderating variables in the subgroup analysis, we found that Aspergillus oryzae, mixed probiotics + bromelain protease, Bacillus subtilis, and Lactobacillus bacteria were significantly increased ADG and FI (pP < 0.01). Additionally, either Bacillus subtilis + protease or Bacillus subtilis alone decreased FCR (pP < 0.001). However, metaregression analysis showed that levels of FSBM inclusion had no effects on final BW (pP = 0.502), ADG (pP = 0.588), feed intake (pP = 0.861), and FCR (pP = 0.462). Conclusion:Substituting SBM in broiler chickens' diet with FSBM improved body weight of broiler chickens, especially in the starter period whereas the effects on ADG, FI, and FCR were mostly dependentd on microbial strains used for fermentation.
A meta-analysis was performed to evaluate the effects of supplementary n-3 polyunsaturated fatty acids ( PUFA ) sources in the diet on the formation of some important n-3 PUFA contents in eggs and to assess factors contributing to the conversion efficiency of omega-3 in laying hens. A dataset was constructed from 34 studies examining the impact of dietary inclusion with ingredients rich in n-3 PUFA on fatty acids profile and production performance of laying hens. The eligibility criteria were developed to obtain studies reporting required information with sufficient quality. The mixed model methodology was employed where the “study” was set as random effects and fatty acid ( FA ) supplements as fixed effects. Several factors were included in the models as covariates. Discrete analysis for sources of FA was also performed to compare their effects on FA formation in eggs. Significant linear positive associations were observed between the concentration of α-linolenic acid ( ALA ), total n-3 PUFA, and the ratio of linoleic acid ( LA ) to ALA (LA/ALA) in diets with the formation of eicosapentaenoic acid ( EPA ), docosahexaenoic acid ( DHA ), total n-3 PUFA, and n6/n3 ratio in egg ( P < 0.05) with different magnitudes. ALA and total n-3 PUFAs concentration had no relationship with cholesterol concentration, feed intake, and egg weight. Prediction models for DHA formation was higher for ALA as predictor variables (slope = 0.482; R 2 = 0.684) than n-3 PUFAs (slopes = 0.998, R 2 = 0.628). Significant interactions were found on the level of ALA × FA sources and n-3 PUFA × FA sources. Fish oil ( P = 0.0148, R 2 = 0.732) improved the prediction equation to estimate DHA formation. To conclude, levels of ALA, n-3 PUFA, and the ratio of LA/ALA can be used as predictor variables to estimate the formation of n-3 fatty acids in eggs. It was confirmed that although all n-3 FA sources had a positive correlation on DHA and n-3 PUFA deposition, however, fish oil showed the highest prediction model for DHA formation across all FA sources included in the dataset.
The purpose of this study was to determine the effect of papaya seed meal on the quality of quail eggs and to determine the best dose of quail egg quality. Using an experimental method with a completely randomized design (CRD), with 4 treatments and 6 replications, each replication consisted of 7 quails. The treatments were P0 (control feed), P1 (0.3% papaya seed meal in feed), P2 (0.6% papaya seed meal in feed) and P3 (1.2% papaya seed meal in feed). The parameters observed were egg white index, egg yolk index, egg yolk color, shell thickness, and egg cholesterol. The data was analysed by Analysis of Variance (ANOVA). The results showed that the addition of papaya seed meal in the feed had not a significant effect (p<0,05) on egg white index, on egg yolk index and shell thickness, but decreased egg yolk color. However addition papaya seed meal had significant effect (p<0,05) reduces egg yolk cholesterol. In conclusion, addition of papaya seed meal (Carica papaya L.) up to 1.2% reduce egg yolk cholesterol without effected the quality of quail eggs.
<span>Tujuan kegiatan pengabdian adalah memberdayakan kelompok peternak kambing Peranakan Etawa (PE) desa Wonoasri Kecamatan Tempurejo Kabupaten Jember dengan edukasi pengolahan susu kambing menjadi yoghurt. Prospek pemasaran yoghurt susu kambing mempunyai peluang pasar di masyarakat dengan meningkatkan harga jual susu kambing dan menjadi solusi pemanfaat susu kambing yang tidak terjual. Metode yang digunakan adalah pelatihan pembuatan yoghurt dan pelatihan manajemen usaha yoghurt. Kegiatan pengabdian dilakukan pada bulan Juni sampai November 2019. Hasil yang diperoleh kelompok peternak dapat membuat produk olahan yoghurt dan menerapkan manajemen usaha yoghurt. Kesimpulan dari kegiatan ini adalah seluruh anggota kelompok ternak dapat membuat yoghurt sesuai prosedur dan dapat menerapkan manajemen usaha yoghurt sebagai bisnis yang berkelanjutan. Hasil pembuatan yoghurt yang disukai adalah yoghurt yang dibuat dengan konsentrasi 1% dengan varian rasa <em>strawberry</em>. Kegiatan pembuatan yoghurt dapat meningkatkan pendapatan dan kesejahteraan peternak.</span>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.