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Frontier Research in Animal Nutrition and Feed Science
Anuraga Jayanegara, Rima S.H. Martin, Muhammad Ridla, Erika B. Laconi, Nahrowi
Fakultas Peternakan IPB
A. More than just productivity
- Productivity is an ultimate goal of animal nutrition research
- But it is not sufficient, need to be more comprehensive
- Frontier aspects:
- Environment (CH4 emission, nutrient excretion)
- Quality of animal products (biohydrogenation, long-chain
fatty acid profiles)
- Animal health (gut microbiome, intestinal health, immune
system)
Methanogenesis
Source: Morgavi et al. (2010)
Animal 4, 1024-1036
• Global warming
• Loss of energy
Source: Chilliard et al. (2007)
Eur. J. Lipid Sci. Technol. 109,
828-855
α-Linolenic acid
Linoleic acid
Rumenic acid
Vaccenic acid
Stearic acid
• Lipolysis
• Biohydrogenation of
unsaturated fatty acids
Biohydrogenation
B. Advanced feeding system
- Feed evaluation:
- Monogastrics: ME, digestible AA
- Ruminants: ME or NE, MP/PDI (RDP, RUP), sugar and
starch??
0
20
40
60
80
100
0 6 12 18 24 30 36 42 48 54 60 66 72
incubation time (h)
degradation
OM
(%)
A + B
Kf
A
U
kd
RDP= A + ----------- * B
kd + kp
kp
RUP= U + ----------- * B
kd + kp
3.3
Equal to
RDP = 76.7% and RUP = 23.3%
RDP RUP MP
Source: Ridla et al. (2021)
IOP Conf. Ser. Earth Environ.
Sci. 637, 012011
- It is the time to establish our own nutrient requirement
- Other systems may not be suitable: NRC, AFRC, VEM/DVE,
INRA, GfE, CSIRO, BR CORTE
- Need a lot of resources, but we may employ the most
affordable option: the meta-analysis method
Nutrient requirement
Figure 4. Relationship between total digestible nutrient intake (TDNI, g/kg MBW/d) and average
daily gain (ADG, g/kg MBW/d) of local (-○-), Priangan (-∆-) and fat-tailed (-□-) sheep breeds.
Energy requirement for sheep in Indonesia
Source: Jayanegara et al. (2017)
Med. Pet. 40, 118-127
Figure 5. Relationship between crude protein intake (CPI, g/kg MBW/d) and average daily gain
(ADG, g/kg MBW/d) of local (-○-), Priangan (-∆-) and fat-tailed (-□-) sheep breeds.
Protein requirement for sheep in Indonesia
Source: Jayanegara et al. (2017)
Med. Pet. 40, 118-127
C. Multi-omics approach
Genomics – microbiome
Source: Seshadri et al. (2018)
Nature Biotechnol. 36, 4
Source: Seshadri et al. (2018)
Nature Biotechnol. 36, 4 Genomics – microbiome
Genomics – microbiome
Source: Henderson et al. (2015)
Sci. Rep. 5, 14567
Genomics – microbiome
Source: Henderson et al. (2015)
Sci. Rep. 5, 14567
Genomics – microbiome
Source: Henderson et al. (2015)
Sci. Rep. 5, 14567
Genomics – microbiome
Source: Sofyan et al. (2019)
Anim. Sci. J. 90, 1362-1376
Transcriptomics
Source: Fassah et al. (2018)
Asian-Australas. J. Anim. Sci. 31, 537-547
Transcriptomics
Source: Fassah et al. (2018)
Asian-Australas. J. Anim. Sci. 31, 537-547
Metabolomics – silage
Source: Xu et al. (2019)
Front. Microbiol. 9, 3299
Metabolomics – silage
Source: Xu et al. (2019)
Front. Microbiol. 9, 3299
Metabolomics – rumen
Source: Artegoitia et al. (2017)
Sci. Rep. 7, 2864
D. Feed additive development
Source: Duin et al. (2016)
PNAS 113, 22
3-NOP
Additive mixture – RSM
Jayanegara and Palupi (2010)
Media Peternakan 33, 176-181
Tanin dan by-pass protein
E. Big data analytics
Dietary tannins (g/kg DM)
0 50 100 150 200 250
Change
of
CH
4
/digestible
OM
(%)
-80
-60
-40
-20
0
20
40
In vitro batch studies
In vivo studies
Jayanegara et al. (2012)
Journal of Animal Physiology and Animal
Nutrition 96, 365-375
Tanin dan efisiensi energi
Tanin dan kualitas silase
Jayanegara et al. (2019)
Journal of Animal Physiology and Animal
Nutrition 103, 456-465
3-NOP dan emisi CH4
Jayanegara et al. (2018)
Italian Journal of Animal Science 17, 650-656
Zn organik vs anorganik
Zinc Form
No Response parameter Unit N Control Organic Inorganic P-value
Dose average mg/kg 0 62.83 62.89
Production Performance
1 Average Daily Gain g/bird/day 195 39.2 42.2 41.4 0.222
2 Feed Conversion Ratio
(FCR)
g feed/ g gain 154 1.78b 1.72a 1.73a 0.017
3 Mortality % 12 0 1.28 1.30 0.707
4 Average Daily Intake g/bird/day 174 70.4 72.6 72.3 0.56
5 Carcass % 14 68.1 69.4 69.5 0.448
6 Abdominal Fat % 11 1.18a 0.98ab 0.68b 0.034
Hidayat et al. (2020)
Asian Australasian Journal of Animal Sciences 33, 465-479
DL metionin vs MHA
Sauer et al. (2008)
Poultry Science 87, 2023-2031
Kualitas susu organik
Palupi et al. (2012)
Journal of the Science of Food and
Agriculture 92, 2774-2781
Thank you very much
for your attention!

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Frontier Research in Animal Nutrition and Feed Science 2021-Anuraga Jayanegara

  • 1. Frontier Research in Animal Nutrition and Feed Science Anuraga Jayanegara, Rima S.H. Martin, Muhammad Ridla, Erika B. Laconi, Nahrowi Fakultas Peternakan IPB
  • 2. A. More than just productivity - Productivity is an ultimate goal of animal nutrition research - But it is not sufficient, need to be more comprehensive - Frontier aspects: - Environment (CH4 emission, nutrient excretion) - Quality of animal products (biohydrogenation, long-chain fatty acid profiles) - Animal health (gut microbiome, intestinal health, immune system)
  • 3. Methanogenesis Source: Morgavi et al. (2010) Animal 4, 1024-1036 • Global warming • Loss of energy
  • 4. Source: Chilliard et al. (2007) Eur. J. Lipid Sci. Technol. 109, 828-855 α-Linolenic acid Linoleic acid Rumenic acid Vaccenic acid Stearic acid • Lipolysis • Biohydrogenation of unsaturated fatty acids Biohydrogenation
  • 5. B. Advanced feeding system - Feed evaluation: - Monogastrics: ME, digestible AA - Ruminants: ME or NE, MP/PDI (RDP, RUP), sugar and starch?? 0 20 40 60 80 100 0 6 12 18 24 30 36 42 48 54 60 66 72 incubation time (h) degradation OM (%) A + B Kf A U kd RDP= A + ----------- * B kd + kp kp RUP= U + ----------- * B kd + kp
  • 6. 3.3 Equal to RDP = 76.7% and RUP = 23.3% RDP RUP MP Source: Ridla et al. (2021) IOP Conf. Ser. Earth Environ. Sci. 637, 012011
  • 7. - It is the time to establish our own nutrient requirement - Other systems may not be suitable: NRC, AFRC, VEM/DVE, INRA, GfE, CSIRO, BR CORTE - Need a lot of resources, but we may employ the most affordable option: the meta-analysis method Nutrient requirement
  • 8. Figure 4. Relationship between total digestible nutrient intake (TDNI, g/kg MBW/d) and average daily gain (ADG, g/kg MBW/d) of local (-○-), Priangan (-∆-) and fat-tailed (-□-) sheep breeds. Energy requirement for sheep in Indonesia Source: Jayanegara et al. (2017) Med. Pet. 40, 118-127
  • 9. Figure 5. Relationship between crude protein intake (CPI, g/kg MBW/d) and average daily gain (ADG, g/kg MBW/d) of local (-○-), Priangan (-∆-) and fat-tailed (-□-) sheep breeds. Protein requirement for sheep in Indonesia Source: Jayanegara et al. (2017) Med. Pet. 40, 118-127
  • 11. Genomics – microbiome Source: Seshadri et al. (2018) Nature Biotechnol. 36, 4
  • 12. Source: Seshadri et al. (2018) Nature Biotechnol. 36, 4 Genomics – microbiome
  • 13. Genomics – microbiome Source: Henderson et al. (2015) Sci. Rep. 5, 14567
  • 14. Genomics – microbiome Source: Henderson et al. (2015) Sci. Rep. 5, 14567
  • 15. Genomics – microbiome Source: Henderson et al. (2015) Sci. Rep. 5, 14567
  • 16. Genomics – microbiome Source: Sofyan et al. (2019) Anim. Sci. J. 90, 1362-1376
  • 17. Transcriptomics Source: Fassah et al. (2018) Asian-Australas. J. Anim. Sci. 31, 537-547
  • 18. Transcriptomics Source: Fassah et al. (2018) Asian-Australas. J. Anim. Sci. 31, 537-547
  • 19. Metabolomics – silage Source: Xu et al. (2019) Front. Microbiol. 9, 3299
  • 20. Metabolomics – silage Source: Xu et al. (2019) Front. Microbiol. 9, 3299
  • 21. Metabolomics – rumen Source: Artegoitia et al. (2017) Sci. Rep. 7, 2864
  • 22. D. Feed additive development Source: Duin et al. (2016) PNAS 113, 22 3-NOP
  • 24. Jayanegara and Palupi (2010) Media Peternakan 33, 176-181 Tanin dan by-pass protein E. Big data analytics
  • 25. Dietary tannins (g/kg DM) 0 50 100 150 200 250 Change of CH 4 /digestible OM (%) -80 -60 -40 -20 0 20 40 In vitro batch studies In vivo studies Jayanegara et al. (2012) Journal of Animal Physiology and Animal Nutrition 96, 365-375 Tanin dan efisiensi energi
  • 26. Tanin dan kualitas silase Jayanegara et al. (2019) Journal of Animal Physiology and Animal Nutrition 103, 456-465
  • 27. 3-NOP dan emisi CH4 Jayanegara et al. (2018) Italian Journal of Animal Science 17, 650-656
  • 28. Zn organik vs anorganik Zinc Form No Response parameter Unit N Control Organic Inorganic P-value Dose average mg/kg 0 62.83 62.89 Production Performance 1 Average Daily Gain g/bird/day 195 39.2 42.2 41.4 0.222 2 Feed Conversion Ratio (FCR) g feed/ g gain 154 1.78b 1.72a 1.73a 0.017 3 Mortality % 12 0 1.28 1.30 0.707 4 Average Daily Intake g/bird/day 174 70.4 72.6 72.3 0.56 5 Carcass % 14 68.1 69.4 69.5 0.448 6 Abdominal Fat % 11 1.18a 0.98ab 0.68b 0.034 Hidayat et al. (2020) Asian Australasian Journal of Animal Sciences 33, 465-479
  • 29. DL metionin vs MHA Sauer et al. (2008) Poultry Science 87, 2023-2031
  • 30. Kualitas susu organik Palupi et al. (2012) Journal of the Science of Food and Agriculture 92, 2774-2781
  • 31. Thank you very much for your attention!