Unlocking Insights into Saccharomyces cerevisiae and Milk Yields: A Meta-Analysis
Bilal Ahmed1, Asep Setiaji1*, Lisa Praharani4, Faheem Ahmed Khan2, Nuruliarizki Shinta Pandupuspitasari3, Mohammad Miftakhus Sholikin4,5,6,7, Windu Negara2, Azhar Ali1, Muhammad Rizwan Yousaf1, Hamza Zulfiqar1, Alina Munawar8
1Animal Science Department, Diponegoro University, Semarang, Indonesia; 2Research Center for Animal Husbandry, National Research and Innovation Agency, Jakarta Pusat, 10340, Indonesia; 3Laboratory of Animal Nutrition and Feed Science, Animal Science Department, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia; 4Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research and Innovation Agency (BRIN), Bogor, Indonesia; 5Meta-Analysis in Plant Science (MAPS) Research Group, Bandung 40621, Indonesia; 6Center for Tropical Animal Studies (CENTRAS), The Institute of Research and Community Empowerment of IPB (LPPM IPB), Bogor 16680, Indonesia; 7Animal Feed and Nutrition Modelling (AFENUE) Research Group, IPB University, Bogor 16680, Indonesia; 8Department of Biology, Government Associates College for Women China Scheme Lahore, Pakistan.
*Correspondence | Asep Setiaji, Animal Science Department, Diponegoro University, Semarang, Indonesia; Email: asepsetiaji93@gmail.com
Figure 1:
Literature retrieval and screening under PRISMA-P guidelines.
Figure 2:
All available papers on NCBI.
Figure 3:
Finalized papers for data extraction.
Figure 4:
Standard meta analysis forest plot.
Figure 5:
Cumulative meta analysis.
Figure 6:
The subgroup analysis observed various results for breeds.
Figure 7:
Alluvial diagram for fluctuating engagement of control and treatment milk yields among observations.
Figure 8:
The response surface optimization, suggesting 173.152 grams of Saccharomyces cerevisiae as optimal amount for maximum milk yield.