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Unlocking Insights into Saccharomyces cerevisiae and Milk Yields: A Meta-Analysis

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: [email protected]

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.

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Advances in Animal and Veterinary Sciences

November

Vol. 12, Iss. 11, pp. 2062-2300

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