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Nutrient composition of pastures in Kayunga District,
 Uganda: Implications for seasonal supplementation in
                  grazing ruminants
            Ellen S. Dierenfeld, Ben Lukuyu and David Nyagaka

Presented at the Animal Production Society of Kenya (APSK) annual scientific
              conference held at Nyeri, Kenya, 11-13 May 2012
Introduction and brief background
 Carrying capacity of rangelands utilized in the Ankole
 grazing system in Uganda is highly dependent on rainfall
 patterns, thus subject to strong seasonality (Mulindwa et al.
 2009).

 Pasture nutrient resources measured (DM production or CP
 content) were found to be highly variable; cattle body
 condition and productivity declines with the dry season and
 recovers during wet seasons.

  Although animals can respond to lower available forage in
 the dry season behaviorally through selective feeding and
 browsing, pasture nonetheless provides primary nutrition
 year-round.
Introduction and a brief background
 Both quantity and quality characteristics must be
 considered in order to optimize nutritional strategies,
 including the need for supplementation.

 This study provides baseline information on proximal
 nutrient and mineral constituents of pastures utilized by
 grazing livestock during dry compared to wet season in the
 Bbale district of central Uganda.
Ankole cattle
Materials and methods
                     Pasture samples (n=8 wet
                     season; n=15 dry season)
                     were randomly sampled from
                     open rangelands grazed by
                     Ankole cattle in Kayunga
                     District, Bbale County,
Collecting samples   Uganda by hand-clipping all
                     ground cover encircled in a 1
                     m2 open frame.

                     Samples were weighed, air-
                     dried in the field, and then
                     oven-dried at 60°C at the
                     Department of Animal
                     Sciences, Makerere
                     University, Kampala.
Air drying samples
Materials and methods
 Samples were ground through a 1 mm screen and analyzed
 by standard laboratory methodology (www.dairyone.com).

 Seasonal comparisons in nutrient content were evaluated
 using unpaired t-tests, with significance set at P<0.05.
Results and discussion: Nutrient profiles
                            Wet             Dry            Seasonal
Nutrient          Unit   Season          Season          Comparison
                          Mean      SD    Mean     SD       P value
Dry matter        %       90.76   0.45    89.70    1.9         0.03
Crude protein     %       12.80   3.49    13.15    7.4         0.44
Soluble protein   %       44.25   4.57    57.21   21.5         0.03
ADF               %       38.70   4.40    34.31   12.3         0.09
NDF               %       62.41   3.30    57.39   16.6         0.14
Lignin            %        7.10   1.58     4.71    3.2         0.01
NFC               %        7.33   3.55     8.64    3.6         0.22
Fat               %        1.95   0.65     1.41    0.8         0.05
Ash               %       11.43   2.04    17.69   18.3         0.11
Results and discussion: Nutrient profiles
                                                          Seasonal
Nutrient   Unit   Wet Season       Dry Season           Comparison
                       Mean     SD      Mean      SD       P value
Ca         %             0.44 0.08       0.31     0.1        <0.01
P          %             0.23 0.07       0.34     0.5         0.18
Mg         %             0.24 0.07       0.18     0.1         0.03
K          %             1.60 0.42       2.29     1.3         0.04
Na         %             0.01 0.01       0.02     0.1         0.19
S          %             0.17 0.06       0.18     0.1         0.34
Fe         ppm          1069  790       814.5   843.5         0.24
Zn         ppm         33.38 15.59      24.67     8.1         0.09
Cu         ppm           9.63 2.00       6.00     2.4        <0.01
Mn         ppm           195 89.5      107.60    26.4         0.01
Mo         ppm           1.20 0.77       1.03     0.5         0.30
Results and discussion: Nutrient profiles
                                                                                               Seasonal
                                     Wet Season                                      SD      Comparison
Nutrient            Unit                 (Mean)        SD     Dry Season                       (P value)
Digestible Energy   Mcal/kg                 2.2        0.3               2.2         0.6              0.46
Metab Energy        Mcal/kg                 1.7        0.3               1.7         0.7              0.48
NE Lactation        Mcal/kg                 0.9        0.2               0.9         0.4              0.49
NE Maintenance      Mcal/kg                 0.9        0.2               0.9         0.5              0.45


Target dietary nutrient concentrations for various grazing ruminants (DM basis)
                                           Lactating                                        Goat Reqt
                                           Cow Reqt          Beef Reqt         Sheep Reqt   NRC, 1981,
  Nutrient                 Unit            NRC 2001          NRC, 2000         NRC, 2007      2007
  Metab Energy             Mcal/kg         1.84-2.58         1.84-2.58         1.63-3.17       2.39

  NE Lactation             Mcal/kg         1.37-1.8+

  NE Maintenance           Mcal/kg           1-2.29           1-2.29

  NE Gain                  Mcal/kg         0.45-1.59         0.45-1.59
Summary results
Although mean crude protein did not differ seasonally
between samples, percent soluble protein was higher (P =
0.03) in samples collected from the dry vs. the wet season.

Protein content measured in this study (with one exception)
was quite similar to mean protein recorded in 10 major
grasses (mixed) sampled in 4 regions of Uganda (12.2%
Acholi Lango area, 12.7% Eastern region, 15.7% Bugana-
Busoga Lake shore, 5.97% Ankole zone; Bredon and Horell,
1961, reported by Sabiiti and Mugerwa, 1990).
Summary results
Nonetheless, crude protein in pastures (~13% of DM)
appeared adequate to meet basal requirements for all
species, except perhaps at highest stages of production.

Overall fibre (NDF and ADF) concentrations did not vary
seasonally in these samples, but the lignin content of
samples collected in the dry season was lower than that of
wet season samples.
Summary results
Of the macrominerals analyzed, Ca and Mg were higher in
wet season samples compared to dry season; the opposite
was seen with K (the latter observation suggesting a less
mature, perhaps slower growth stage of plant).

Trace elements differed seasonally for Cu and Mn, with wet
season samples containing higher concentrations of these
nutrients.

As with most forages, all pastures sampled were grossly
deficient in sodium relative to the dietary needs of ruminants,
highlighting the essentially of providing a salt lick for grazing
animals.
Summary results
Relative to animal requirements, both Ca and P needs,
particularly of lactating cows (either dairy or beef) could be
limiting in pastures, depending upon the season and
bioavailability (form) of macrominerals in the forages.

Similarly, Mg and S supplied by pastures may prove
marginal for dairy cows (and goats) in heavy lactation.

 Fe and Mn were found in relative excess, whereas Cu
appears to be a limiting trace mineral across species and
physiological stages.
Summary results
Zn nutrition may be marginal, depending upon species,
season, and stage of production. In general, Zn needs of
lactating dairy cows were not met by pastures in this study.
Conclusions
Based on this limited sample, a high energy supplement with
targeted minerals (both macro and trace) may improve
overall animal nutrition, health and productivity of grazing
ruminant livestock in this region of Uganda, particularly
during the dry seasons.

A molasses-based block with added Ca, P, Mg, S, Cu and
Zn – and possibly I and Se – may prove beneficial across
multiple species.
Thank you

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Nutrient composition of pastures in Kayunga District, Uganda: Implications for seasonal supplementation in grazing ruminants

  • 1. Nutrient composition of pastures in Kayunga District, Uganda: Implications for seasonal supplementation in grazing ruminants Ellen S. Dierenfeld, Ben Lukuyu and David Nyagaka Presented at the Animal Production Society of Kenya (APSK) annual scientific conference held at Nyeri, Kenya, 11-13 May 2012
  • 2. Introduction and brief background Carrying capacity of rangelands utilized in the Ankole grazing system in Uganda is highly dependent on rainfall patterns, thus subject to strong seasonality (Mulindwa et al. 2009). Pasture nutrient resources measured (DM production or CP content) were found to be highly variable; cattle body condition and productivity declines with the dry season and recovers during wet seasons. Although animals can respond to lower available forage in the dry season behaviorally through selective feeding and browsing, pasture nonetheless provides primary nutrition year-round.
  • 3. Introduction and a brief background Both quantity and quality characteristics must be considered in order to optimize nutritional strategies, including the need for supplementation. This study provides baseline information on proximal nutrient and mineral constituents of pastures utilized by grazing livestock during dry compared to wet season in the Bbale district of central Uganda.
  • 5. Materials and methods Pasture samples (n=8 wet season; n=15 dry season) were randomly sampled from open rangelands grazed by Ankole cattle in Kayunga District, Bbale County, Collecting samples Uganda by hand-clipping all ground cover encircled in a 1 m2 open frame. Samples were weighed, air- dried in the field, and then oven-dried at 60°C at the Department of Animal Sciences, Makerere University, Kampala. Air drying samples
  • 6. Materials and methods Samples were ground through a 1 mm screen and analyzed by standard laboratory methodology (www.dairyone.com). Seasonal comparisons in nutrient content were evaluated using unpaired t-tests, with significance set at P<0.05.
  • 7. Results and discussion: Nutrient profiles Wet Dry Seasonal Nutrient Unit Season Season Comparison Mean SD Mean SD P value Dry matter % 90.76 0.45 89.70 1.9 0.03 Crude protein % 12.80 3.49 13.15 7.4 0.44 Soluble protein % 44.25 4.57 57.21 21.5 0.03 ADF % 38.70 4.40 34.31 12.3 0.09 NDF % 62.41 3.30 57.39 16.6 0.14 Lignin % 7.10 1.58 4.71 3.2 0.01 NFC % 7.33 3.55 8.64 3.6 0.22 Fat % 1.95 0.65 1.41 0.8 0.05 Ash % 11.43 2.04 17.69 18.3 0.11
  • 8. Results and discussion: Nutrient profiles Seasonal Nutrient Unit Wet Season Dry Season Comparison Mean SD Mean SD P value Ca % 0.44 0.08 0.31 0.1 <0.01 P % 0.23 0.07 0.34 0.5 0.18 Mg % 0.24 0.07 0.18 0.1 0.03 K % 1.60 0.42 2.29 1.3 0.04 Na % 0.01 0.01 0.02 0.1 0.19 S % 0.17 0.06 0.18 0.1 0.34 Fe ppm 1069 790 814.5 843.5 0.24 Zn ppm 33.38 15.59 24.67 8.1 0.09 Cu ppm 9.63 2.00 6.00 2.4 <0.01 Mn ppm 195 89.5 107.60 26.4 0.01 Mo ppm 1.20 0.77 1.03 0.5 0.30
  • 9. Results and discussion: Nutrient profiles Seasonal Wet Season SD Comparison Nutrient Unit (Mean) SD Dry Season (P value) Digestible Energy Mcal/kg 2.2 0.3 2.2 0.6 0.46 Metab Energy Mcal/kg 1.7 0.3 1.7 0.7 0.48 NE Lactation Mcal/kg 0.9 0.2 0.9 0.4 0.49 NE Maintenance Mcal/kg 0.9 0.2 0.9 0.5 0.45 Target dietary nutrient concentrations for various grazing ruminants (DM basis) Lactating Goat Reqt Cow Reqt Beef Reqt Sheep Reqt NRC, 1981, Nutrient Unit NRC 2001 NRC, 2000 NRC, 2007 2007 Metab Energy Mcal/kg 1.84-2.58 1.84-2.58 1.63-3.17 2.39 NE Lactation Mcal/kg 1.37-1.8+ NE Maintenance Mcal/kg 1-2.29 1-2.29 NE Gain Mcal/kg 0.45-1.59 0.45-1.59
  • 10. Summary results Although mean crude protein did not differ seasonally between samples, percent soluble protein was higher (P = 0.03) in samples collected from the dry vs. the wet season. Protein content measured in this study (with one exception) was quite similar to mean protein recorded in 10 major grasses (mixed) sampled in 4 regions of Uganda (12.2% Acholi Lango area, 12.7% Eastern region, 15.7% Bugana- Busoga Lake shore, 5.97% Ankole zone; Bredon and Horell, 1961, reported by Sabiiti and Mugerwa, 1990).
  • 11. Summary results Nonetheless, crude protein in pastures (~13% of DM) appeared adequate to meet basal requirements for all species, except perhaps at highest stages of production. Overall fibre (NDF and ADF) concentrations did not vary seasonally in these samples, but the lignin content of samples collected in the dry season was lower than that of wet season samples.
  • 12. Summary results Of the macrominerals analyzed, Ca and Mg were higher in wet season samples compared to dry season; the opposite was seen with K (the latter observation suggesting a less mature, perhaps slower growth stage of plant). Trace elements differed seasonally for Cu and Mn, with wet season samples containing higher concentrations of these nutrients. As with most forages, all pastures sampled were grossly deficient in sodium relative to the dietary needs of ruminants, highlighting the essentially of providing a salt lick for grazing animals.
  • 13. Summary results Relative to animal requirements, both Ca and P needs, particularly of lactating cows (either dairy or beef) could be limiting in pastures, depending upon the season and bioavailability (form) of macrominerals in the forages. Similarly, Mg and S supplied by pastures may prove marginal for dairy cows (and goats) in heavy lactation. Fe and Mn were found in relative excess, whereas Cu appears to be a limiting trace mineral across species and physiological stages.
  • 14. Summary results Zn nutrition may be marginal, depending upon species, season, and stage of production. In general, Zn needs of lactating dairy cows were not met by pastures in this study.
  • 15. Conclusions Based on this limited sample, a high energy supplement with targeted minerals (both macro and trace) may improve overall animal nutrition, health and productivity of grazing ruminant livestock in this region of Uganda, particularly during the dry seasons. A molasses-based block with added Ca, P, Mg, S, Cu and Zn – and possibly I and Se – may prove beneficial across multiple species.