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Sub-Saharan Africa Feed Composition Database
                                                                                                                                                  nutritive values                                                                                                                                  www.vslp.org/ssafe
                                                                                                                                                                                                                                                                                                    ed


 Why       a                                                                 feed 
 database?
 Livestock often represent a major asset 
 for  smallholder  farmers  across  the 
 developing  world.  With  an  increasing 
 demand  for  animal  products  led  by 
 growing  populations,  urbanisation  and 
 dietary  changes,  feed  has  become  a 
 constraint  for  farmers  to  improve 
                                                                                                                                                                                                   Creating a database
 livestock  production.    However,  while                                                                                                                                                         In October 2011, SLP  formally  released 
 feed quality often remains low, demand                                                                                                                                                            the  enhanced  version  of  the  sub‐
 and  prices  of  feed  keep  rising.  This                                                                                                                                                        Saharan Africa Feeds database  – a user 
 reinforces  the  need  for  more  efficient                                                                                                                                                       friendly searchable database containing 
 feed  production  and  use.  The  aim  of                                                                                                                                                         information  on  the  nutritive  values  of 
 this  database  is  to  enable  extension,                                                                                                                                                        20,913  samples of  566  of  the  major 
 development  and  research  agents  to                                                                                                                                                            feeds  used  in  15  countries  in  sub‐
 design scientifically‐based and best‐cost                                                                                                                                                         Saharan  Africa  (SSA).  The  database  is 
 rations  for  meat,  dairy  and  draught                                                                                                                                                          freely available both on the web (Figure 
 animals  of  small‐scale  African  farmers.                                                                                                                                                       1)—where it can be downloaded, or on 
 As  their  livestock  assets  are  healthier                                                                                                                                                      CD  (at  ILRI  –Ethiopia).  This  is  the  first 
 and  better  nourished,  these  farmers                                                                                                                                                           time  that  such  a  large  amount  of  data 
 become more food‐secure and are able                                                                                                                                                              on  common  feeds  for  livestock  in  the                    Figure 1: Home page of the feed database.
 to  increase  their  income  from  animal                                                                                                                                                         tropics  has  been  made  publically 
 products.                                                                                                                                                                                         available in this way.                                      This  useful  information  tool  was  created 
                    Data sources                                                                                                                                                                                                                               as  a  joint  effort  of  SLP,  the  International 
                                                                                                                                                                                                                                                               Livestock  Research  Institute  (ILRI),  the 
                                                                                                                                                                                                                                                               Ethiopian  Institute  of  Agricultural 
                                                      The  nutritional  data  on  livestock  feeds  made  available  through                                                                                                                                   Research (EIAR), the Ethiopian Ministry of 
                                                      'SSA  Feeds'  was  generated  at  the  Animal  Nutrition/Analytical                                                                                                                                      Agriculture  (MoA),  Texas  A&M  University 
                                                      Services  Laboratories  of  the  International  Livestock  Centre  for                                                                                                                                   and  the  Ethiopian  Sanitary  & 
                                                      Africa  (ILCA)  and  the  International  Livestock  Research  Institute                                                                                                                                  Phytosanitary Standards  and  Livestock  & 
                                                      (ILRI)  in  Addis  Ababa,  Ethiopia.  The  laboratory  analyses  were                                                                                                                                    Meat Marketing Program (SPS‐LMM) with 
                                                      performed  as  described  by  Osuji et  al.  (1993)  and  Ogubai and                                                                                                                                     funding from USAID. The information  can 
                                                      Sereke (1997).                                                                                                                                                                                           now  be  used  to  improve  the  feed 
                                                                                                                                                                                                                                                               formulation  to  support  livestock 
                                                      The initial data set used in this software is the same as used by                                                                                                                                        development  in  Ethiopia  and  throughout 
                                                      Anindo et  al.  (1994).  However,  this  data  set  was  modified                                                                                                                                        SSA.  A  poster  has  also  been  compiled  on 
                                                      extensively  to  exclude  duplicate  entries  and  extreme  cases  of                                                                                                                                    the  nutritive  values  of  the  most 
                                                      outliers.  All  feeds  were  classified  into  nine  'Feed  types‘ (Figure                                                                                                                               commonly  used  feeds  in  Ethiopia  to 
                                                      2). Plant  names  were  identified,  whenever  possible,  using  the                                                                                                                                     disseminate  the  information  widely  in 
                                                      checklist  of names given by Terrell  et al.  (1986).  The  initial  data                                                                                                                                Ethiopia.
                                                      set  is  frequently  revised  as  new  data  is  added.  Therefore  the 

    Figure 2: Feed types
                                                      nutritive  values  obtained  through  this  software  may  differ 
                                                      substantially from those provided by Anindo et al. (1994).
                                                                                                                                                                                                   Included variables
                                                                                                                                                                                                   ‘SSA Feeds’ provides data on the following nutritional values:
                                                                                                                                           Potential results
 After  selecting  the  type  of  feed  (Figure  3),  results  are  given  either  per  sample  of  the 
 same feed and crop type (Figure 4), as a summary of all the samples of the same plant 
 part (Figure 5) or they can be exported as a csv table. 




 Figure 3: Example of feed within a feed type.

                                                                                                                                                                                                         1. DM of the feeds as they are used in the farm.
                                                                                                                                                                                                         2. AAS = Atomic Absorption Spectrophotometry.
                                                                                                                                                                                                         3. FIA = Flow Injection Analysis.




 Figure 5: Example of summary results sample of same crop type and plant part.                                            Figure 4: Example of results per sample of same feed and crop 
                                                                                                                          type.


References
Anindo DO, Said AN and Lahlou‐Kassi A. 1994. Chemical composition and nutritive value of feedstuffs for ruminant livestock in sub‐Saharan Africa. ILCA (International Livestock Centre for 
Africa), Addis Ababa, Ethiopia. 539 pp. Harris LH. 1970. Nutrition research techniques for domestic and wild animals. Volume 1. Animal Science Department, Utah State University, Logan, 
Utah, USA. 86 pp. Jenet A. 2004. Long‐term and carry over effects of feeding level performance and energy partitioning of Boran (Bos indicus)and Boran × Holstein dairy cattle. PhD thesis. 
Swiss Federal Institute of Technology, Zurich, Switzerland. 105 pp. NRC (National Research Council). 1996. Nutrient requirements of beef cattle. Seventh revised edition. NRC, National 
Academic Press, Washington, DC, USA. 242 pp. NRC (National Research Council). 2000. Nutrient requirements of beef cattle. Update 2000. NRC, National Academic Press, Washington, DC, 
USA. 232 pp. NRC (National Research Council). 2001. Nutrient requirements of dairy cattle. Seventh revised edition. NRC, National Academic Press, Washington, DC, USA. 381 pp. Ogubai M 
and Sereke BS. 1997. Analytical methods for feeds, animal excrements and animal tissues. Nutrition Laboratory, ILRI (International Livestock Research Institute), Addis Ababa, Ethiopia. 90 pp. 
Osuji PO, Nsahlai IV and Khalili H. 1993. Feed evaluation. ILCA Manual. ILCA (International Livestock Centre for Africa), Addis Ababa, Ethiopia. Osuji PO, Saarisalo EM, Tegegne A and Umunna
NN. 2005. Undernutrition of dairy cattle in smallholder production systems in East Africa. In: Ayantunde AA, Fernández‐Rivera S and McCrabb G (eds), Coping with feed scarcity in 
smallholder livestock systems in developing countries. Animal Sciences Group, UR, Wageningen, the Netherlands; University of Reading, Reading, UK; Swiss Federal Institute of Technology, 
Zurich, Switzerland; and ILRI (International Livestock Research Institute), Nairobi, Kenya. pp. 97–120. Terrell EE, Hill SR, Wiersema JH and Rice WR. 1986. A checklist of names for 3000 
vascular plants of economic importance.Agriculture Handbook 505. US Department of Agriculture, USA. 244 pp. van Soest PJ. 2002. Nutritional ecology of the ruminant. O&B Books, Corvallis, 
Oregon, USA. 374 pp. van Soest PJ and Robertson JB. 1985. Analysis of forages and fibrous feeds. A laboratory manual for animal science 613. Cornell University, Ithaca, New York, USA. 202 
pp.
                                                                                                                                                                                                                                                            Poster prepared by D Valbuena, Duncan AJ, Hanson J. 2011. CGIAR

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Sub-Saharan Africa feed composition database: Nutritive values

  • 1. Sub-Saharan Africa Feed Composition Database nutritive values www.vslp.org/ssafe ed Why  a  feed  database? Livestock often represent a major asset  for  smallholder  farmers  across  the  developing  world.  With  an  increasing  demand  for  animal  products  led  by  growing  populations,  urbanisation  and  dietary  changes,  feed  has  become  a  constraint  for  farmers  to  improve  Creating a database livestock  production.    However,  while  In October 2011, SLP  formally  released  feed quality often remains low, demand  the  enhanced  version  of  the  sub‐ and  prices  of  feed  keep  rising.  This  Saharan Africa Feeds database  – a user  reinforces  the  need  for  more  efficient  friendly searchable database containing  feed  production  and  use.  The  aim  of  information  on  the  nutritive  values  of  this  database  is  to  enable  extension,  20,913  samples of  566  of  the  major  development  and  research  agents  to  feeds  used  in  15  countries  in  sub‐ design scientifically‐based and best‐cost  Saharan  Africa  (SSA).  The  database  is  rations  for  meat,  dairy  and  draught  freely available both on the web (Figure  animals  of  small‐scale  African  farmers.  1)—where it can be downloaded, or on  As  their  livestock  assets  are  healthier  CD  (at  ILRI  –Ethiopia).  This  is  the  first  and  better  nourished,  these  farmers  time  that  such  a  large  amount  of  data  become more food‐secure and are able  on  common  feeds  for  livestock  in  the  Figure 1: Home page of the feed database. to  increase  their  income  from  animal  tropics  has  been  made  publically  products. available in this way.  This  useful  information  tool  was  created  Data sources as  a  joint  effort  of  SLP,  the  International  Livestock  Research  Institute  (ILRI),  the  Ethiopian  Institute  of  Agricultural  The  nutritional  data  on  livestock  feeds  made  available  through  Research (EIAR), the Ethiopian Ministry of  'SSA  Feeds'  was  generated  at  the  Animal  Nutrition/Analytical  Agriculture  (MoA),  Texas  A&M  University  Services  Laboratories  of  the  International  Livestock  Centre  for  and  the  Ethiopian  Sanitary  &  Africa  (ILCA)  and  the  International  Livestock  Research  Institute Phytosanitary Standards  and  Livestock  &  (ILRI)  in  Addis  Ababa,  Ethiopia.  The  laboratory  analyses  were  Meat Marketing Program (SPS‐LMM) with  performed  as  described  by  Osuji et  al.  (1993)  and  Ogubai and  funding from USAID. The information  can  Sereke (1997).  now  be  used  to  improve  the  feed  formulation  to  support  livestock  The initial data set used in this software is the same as used by development  in  Ethiopia  and  throughout  Anindo et  al.  (1994).  However,  this  data  set  was  modified  SSA.  A  poster  has  also  been  compiled  on  extensively  to  exclude  duplicate  entries  and  extreme  cases  of  the  nutritive  values  of  the  most  outliers.  All  feeds  were  classified  into  nine  'Feed  types‘ (Figure  commonly  used  feeds  in  Ethiopia  to  2). Plant  names  were  identified,  whenever  possible,  using  the  disseminate  the  information  widely  in  checklist  of names given by Terrell  et al.  (1986).  The  initial  data  Ethiopia. set  is  frequently  revised  as  new  data  is  added.  Therefore  the  Figure 2: Feed types nutritive  values  obtained  through  this  software  may  differ  substantially from those provided by Anindo et al. (1994). Included variables ‘SSA Feeds’ provides data on the following nutritional values: Potential results After  selecting  the  type  of  feed  (Figure  3),  results  are  given  either  per  sample  of  the  same feed and crop type (Figure 4), as a summary of all the samples of the same plant  part (Figure 5) or they can be exported as a csv table.  Figure 3: Example of feed within a feed type. 1. DM of the feeds as they are used in the farm. 2. AAS = Atomic Absorption Spectrophotometry. 3. FIA = Flow Injection Analysis. Figure 5: Example of summary results sample of same crop type and plant part. Figure 4: Example of results per sample of same feed and crop  type. References Anindo DO, Said AN and Lahlou‐Kassi A. 1994. Chemical composition and nutritive value of feedstuffs for ruminant livestock in sub‐Saharan Africa. ILCA (International Livestock Centre for  Africa), Addis Ababa, Ethiopia. 539 pp. Harris LH. 1970. Nutrition research techniques for domestic and wild animals. Volume 1. Animal Science Department, Utah State University, Logan,  Utah, USA. 86 pp. Jenet A. 2004. Long‐term and carry over effects of feeding level performance and energy partitioning of Boran (Bos indicus)and Boran × Holstein dairy cattle. PhD thesis.  Swiss Federal Institute of Technology, Zurich, Switzerland. 105 pp. NRC (National Research Council). 1996. Nutrient requirements of beef cattle. Seventh revised edition. NRC, National  Academic Press, Washington, DC, USA. 242 pp. NRC (National Research Council). 2000. Nutrient requirements of beef cattle. Update 2000. NRC, National Academic Press, Washington, DC,  USA. 232 pp. NRC (National Research Council). 2001. Nutrient requirements of dairy cattle. Seventh revised edition. NRC, National Academic Press, Washington, DC, USA. 381 pp. Ogubai M  and Sereke BS. 1997. Analytical methods for feeds, animal excrements and animal tissues. Nutrition Laboratory, ILRI (International Livestock Research Institute), Addis Ababa, Ethiopia. 90 pp.  Osuji PO, Nsahlai IV and Khalili H. 1993. Feed evaluation. ILCA Manual. ILCA (International Livestock Centre for Africa), Addis Ababa, Ethiopia. Osuji PO, Saarisalo EM, Tegegne A and Umunna NN. 2005. Undernutrition of dairy cattle in smallholder production systems in East Africa. In: Ayantunde AA, Fernández‐Rivera S and McCrabb G (eds), Coping with feed scarcity in  smallholder livestock systems in developing countries. Animal Sciences Group, UR, Wageningen, the Netherlands; University of Reading, Reading, UK; Swiss Federal Institute of Technology,  Zurich, Switzerland; and ILRI (International Livestock Research Institute), Nairobi, Kenya. pp. 97–120. Terrell EE, Hill SR, Wiersema JH and Rice WR. 1986. A checklist of names for 3000  vascular plants of economic importance.Agriculture Handbook 505. US Department of Agriculture, USA. 244 pp. van Soest PJ. 2002. Nutritional ecology of the ruminant. O&B Books, Corvallis,  Oregon, USA. 374 pp. van Soest PJ and Robertson JB. 1985. Analysis of forages and fibrous feeds. A laboratory manual for animal science 613. Cornell University, Ithaca, New York, USA. 202  pp. Poster prepared by D Valbuena, Duncan AJ, Hanson J. 2011. CGIAR