LEMNA MINOR QUALITY IMPROVEMENT THROUGH FERMENTATION USING TRICHODERMA HARZIANUM AND SACCHAROMYCES CEREVISIAE ON WATER, LIPIDS, GROSS ENERGY, AND MINERAL CONTENT

Muhammad Rifqi Ismiraj (), Hendi Setiyatwan, Hery Supratman and Fathir Aulia Maulana Faisal
Additional contact information
Muhammad Rifqi Ismiraj: Animal Husbandry Program, Faculty of Animal Husbandry, PSDKU Pangandaran, Universitas Padjadjaran, Pangandaran, Indonesia.
Hendi Setiyatwan: Department of Animal Nutrition and Feed Technology, Faculty of Animal Husbandry, Universitas Padjadjaran, Sumedang, Indonesia.
Hery Supratman: Department of Animal Nutrition and Feed Technology, Faculty of Animal Husbandry, Universitas Padjadjaran, Sumedang, Indonesia
Fathir Aulia Maulana Faisal: b Animal Husbandry Program, Faculty of Animal Husbandry, PSDKU Pangandaran, Universitas Padjadjaran, Pangandaran, Indonesia.

Big Data In Agriculture (BDA), 2021, vol. 3, issue 1, 27-30

Abstract: Lemna minor has been used as animal feed which contains high nutrients, i.e proteins and amino acids, however, water content is too high to be supplemented to animals. This research was conducted to lower water content, improve crude lipids, gross energy, mineral calcium and phosphor content by the approach of fermentation process. Lemna minor fermentation is divided into two stages, firstly, by using Trichoderma harzianum (Th) with the addition of ZnHCO3 and dl-methionine, secondly, by using Saccharomyces cerevisiae (Sc). Completed randomized design (CRD) was used in experimental design with 20 experimental units, with five treatments of different incubation length between fermentation by Sc and Th with four replications. The results showed that fermentation using Th and Sc has a significant effect (P

Keywords: Trichoderma harzianum; Saccharomyces cerevisiae; water content; crude lipids; gross energy (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/download/1123/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:3:y:2021:i:1:p:27-30

DOI: 10.26480/bda.01.2021.27.30

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).