Effect of herbage composition on the digestibility and voluntary feed intake of kikuyu

 

 

T.J. Dugmore^#; I.V. Nsahlai^*

KwaZulu-Natal Department of Agriculture, Environmental Affairs and Rural Development, Private Bag X9059, Pietermaritzburg 3200, South Africa

 

 

---

ABSTRACT

Digestion trials using sheep and voluntary feed intake (VFI) trials using long yearling heifers in Calan gates were conducted in the spring, summer and autumn over 5 years. These data and the chemical composition of the herbage were regressed on DMD and VFI. Excluding the mineral fractions, only three of the chemical components of the herbage emerged as important, namely, the DM content of the herbage as fed, accounting for 32% of the variance in DMD, the NPN content of the herbage accounting for only 12.2% of the variance and the ash content of the herbage accounting for 15.9% of the variance in digestibility. Of the macro-mineral components, Ca, Mg and P tended to be positively associated with DMD, while Na and K were significantly related to DMD. NDF was positively correlated to VFI, accounting for 37% of the variability in intake, while non-protein nitrogen was negatively correlated to VFI, although it did not account for much of the variability (11%) in VFI. Ca was also positively correlated to VFI, also accounting for very little of the variation in VFI (11.7%). Herbage Mg had a positive influence on VFI, accounting for 24% of the variation in VFI. Both DMD and VFI were highly negatively influenced by the moisture content of the herbage.

Keywords: Pennisetum clandestinum; DMD; VFI; chemical composition

---

 

 

Introduction

The chemical composition of herbage has been used to predict digestibility (Minson, 1982). The ability to accurately predict the nutritive value of kikuyu herbage with a relatively easy and cheap chemical analysis would be of immense value to dairy farmers utilising kikuyu as a roughage source in the summer months in the KZN Midlands. This study investigated the relationship between the chemical fractions and nutritive value of kikuyu.

 

Materials and Methods

Kikuyu pasture was fertilized at two levels of nitrogen (N), namely 50 and 200 kg N/ha, after mowing and clearing the plots, to induce low and high levels of N in the herbage. The subsequent growth was harvested at 20, 30 and 40 days of re-growth. Digestion trials using sheep, determined using the in vivo technique described by Juko et al. (1961) and voluntary feed intake (VFI) trials using long yearling heifers, determined using Calan feed gates (Broadbent et al.,1970), were conducted in the spring, summer and autumn for 5 consecutive years for dry matter digestibility (DMD) and 3 for VFI.

Five years of digestibility trials, amounting to 82 trials and three years of intake trials, amounting to 38 VFI trials were pooled. The chemical composition of the herbage, comprising ADF, NDF (Van Soest & Robertson, 1980), NPN (Marais & Evenwell, 1983), CP, ash (AOAC,1980) and minerals was regressed on DMD and VFI, using the multiple linear regression techniques, including the stepwise regression analysis procedure, of GenStat v9.1 (GenStat, 2006), to examine the influence of herbage composition on the nutritive value of the herbage.

 

Results

Excluding the mineral fractions only three factors emerged as important in predicting DMD, namely, the DM content of the herbage, as fed, accounting for 32% of the variance in DMD, the NPN content of the herbage accounting for only 12.2% of the variance and the ash content of the herbage accounting for 15.9% of the variance in digestibility. However, a combination of the two factors, DM and NPN improved the correlation with DMD, accounting for 52% of the variation in DMD. Including ash in the regression improved the variance accounted for in DMD to 60.7%. These equations are expressed in Table 1.

Of the macro-mineral components, Ca (P = 0.11), Mg (P = 0.064) and P (P = 0.147) tended to be positively associated with DMD, while Na and K were significantly related to DMD. A combination of minerals proved significant in accounting for 29.6% of the variation in DMD (Table 1).

The VFI's of the heifers, over all the seasons, are expressed in Table 2. Crude protein, albeit with a negative trend (P = 0.18), and ADF, with a positive trend (P = 0.129), were not significantly correlated to VFI. Neutral detergent fibre was positively correlated to VFI, accounting for 37% of the variability in intake. Non-protein nitrogen was negatively correlated to VFI, although it did not account for much of the variability (11%) in VFI. Ca was also positively correlated to VFI, also accounting for very little of the variation in VFI (11.7%). Herbage Mg had a positive influence on VFI, accounting for 24% of the variation in VFI. The DM content of the herbage accounted for 71% of the variation in intake.

The DM concentration of the herbage in the trials varied ranged from 134 g/kg to 283 g/kg with a mean of 188.7 g/kg. The data was re-analyzed with all trials containing a DM lower than the mean value excluded from the analysis, to determine if the negative effect of DM (moisture) on DMD was limited to the wetter herbage. Both DMD (P = 0.039) and VFI (P = 0.02) were still negatively influenced by the moisture concentration of the herbage, albeit not as strongly, with higher moisture (lower DM) concentrations still depressing DMD and VFI.

 

Discussion

Moisture concentrations exceeding 780 g/kg fresh material are generally considered as having a detrimental effect on voluntary intake (Minson, 1990). However, there are exceptions to the generalized rule. Holmes & Lang (1963) concluded that neither internal water content nor external rain water restricted DMI in forages. Johnson et al. (1968) found that dry matter intakes were not related to stage of maturity, season of harvest, DM content, crude fibre content or digestibility for guinea grass (Panicum maximum).

The effect of water on digestibility is not conclusive, with most references concluding that moisture has no effect on digestibility (Garwood et al., 1979; Danelon et al., 2002). However, Reid et al. (1959) in a study of 28 forages representing a variety of temperate species, found that increasing DM content of the herbage negatively impacted on herbage digestibility. In contrast, Yoelao et al. (1970) observed an increase in digestibility in lucerne or berseem due to wilting. Danelon et al. (2002) found no response to wilting in fermentation characteristics and digestibility of lucerne. However, Grant et al. (1974) found that wilting Napier grass markedly increased the intake and digestibility of the dryer forage as opposed to higher moisture forage. Similarly, Pasha et al. (1994) found that the digestibilities of DM, NDF and ADF were greater for dried herbage relative to high moisture frozen forage. Similarly to this data, no significant interactions between forage maturity and moisture content were observed by Pasha et al. (1994). Pasha et al. (1994) indicated that greater ruminal NH₃N may be a possible inhibitor of intake on high moisture forages.

Chemical composition is the generally accepted measure of nutritive value for herbage. Pattinson (1981) found that the low intake of kikuyu was unrelated to CP, ADF and in vitro dry matter digestibility. Austin (1980) found that the only plant component associated with acceptability in kikuyu was the N fraction, which was negatively associated with acceptability. Austin (1980) also found that nitrate levels in kikuyu were negatively correlated (-0.356) to acceptability, as were herbage N levels, albeit weaker (-0.284) indicating that nitrate was the causative agent; nitrate and N being highly correlated. Pienaar et al. (1993) found that the N content of the leaves of kikuyu was negatively related to VFI's. Similarly, Pienaar et al. (1993) found that rumen ammonia levels were negatively associated with feed intake, all other factors showing no relationship with VFI.

Austin (1980) found that ADF was variably associated with acceptability, significantly positive in one trial, with a slight positive correlation but non-significant correlation overall. Karnezos (1986) found that crude fibre levels in kikuyu herbage were positively correlated with average daily gain (ADG) in steers grazing kikuyu and considered that this positive relationship was possibly associated with herbage availability. Dugmore et al. (1986) recorded a negative correlation between crude protein and digestible organic matter, while a lower individual animal performance was recorded with increased levels of N fertilization by Tainton et al. (1982) and Karnezos (1986). None of the chemical components proved to be accurate in predicting the digestibility of kikuyu (Dugmore & Du Toit, 1988) or intake for a range of pastures (Meissner et al., 1988). Pattinson (1981) concluded that kikuyu seems to be a special case in that the low intakes seem to be contrary to all the conventional quality attributes determined. Karnezos (1986) modelled the ADG rates of steers grazing kikuyu, using herbage availability and chemical composition. The only chemical components which contributed significantly to the model were Ca and N, with N negatively correlated to ADG in steers.

Austin (1980) investigating the effect of N, phosphate, calcium and magnesium (dolomitic lime) fertilization on minerals in kikuyu found that the acceptability of the pasture was not affected by any of the minerals recorded (Ca, P, K and Mg). This is in contrast to Karnezos (1986) who found that Ca was the only plant fraction that significantly influenced live weight gain in steers.

The positive effect of Na on digestibility is not unexpected, considering kikuyu is a natrophobe, with particularly low Na levels in the leaves. Reason et al. (1989) found that cows grazing kikuyu were Na deficient, while Davison et al. (1980) found that supplementing NaCl increased milk production on tropical pasture.

This data confirms the observation by Butterworth et al. (1970) that interactions among the various plant constituents were so high as to obscure meaningful relationships and that the accuracy of prediction of digestibility from proximate analysis in tropical species was in most cases extremely low.

 

Conclusion

The chemical composition of kikuyu cannot be used to accurately predict the nutritive value of kikuyu herbage and at best should only be used to determine if the minimum requirements for protein, fibre and minerals are met in the diet. The major negative effect of herbage moisture of kikuyu on its digestibility and intake has great implications on grazing management strategies for kikuyu.

 

References

AOAC, 1980. Official methods of analysis (13^thed.). Association of Official Analytical Chemists, Washington, D.C., USA.         [ Links ]

Austin, M.N., 1980. An evaluation of the acceptability and mineral composition of differentially fertilized Pennisetum clandestinum. MSc thesis, Department of Grassland Science, University of Natal, Pietermaritzburg, South Africa.         [ Links ]

Broadbent, P.J., McIntosh, J.A.R. & Spence, A., 1970. The evaluation of a device for feeding group-housed animals individually. Anim. Prod. 12, 245-252.         [ Links ]

Butterworth, M.H & Diaz, J.A., 1970. The use of equations to predict the nutritive value of tropical grasses. J. Range Mgmt. 23, 55-58.         [ Links ]

Danelon, J.L., Locatelli, M.L., Gallardo, M. & Guaita, S., 2002. Herbage intake and ruminal digestion of alfalfa: a comparison between strip and zero grazed cows. Livest. Prod. Sci. 74, 79-91.         [ Links ]

Davison, T.M., Murphy, G.M., Maroske, M.M. & Arnold, G., 1980. Milk yield response following sodium chloride supplementation of cows grazing a tropical grass pasture. Aust. J. Exp. Agric. Anim. Husb. 20, 543-546.         [ Links ]

Dugmore, T.J. & Du Toit, J.H., 1988. The chemical composition and nutritive value of kikuyu pasture. S. Afr. J. Anim. Sci., 18, 72-75.         [ Links ]

Dugmore, T.J., van Ryssen, J.B.J. & Stielau, W.J., 1986. Effect of nitrogen and fibre on the digestibility of kikuyu (Pennisetum clandestinum). S. Afr. J. Anim. Sci. 16, 197-201.         [ Links ]

Garwood, E.A., Tyson, K.C. & Sinclair, J., 1979. Use of water by six grass species. 1. Dry matter yields and response to irrigation. J. Agric. Sci., Camb. 93, 13-24.         [ Links ]

GenStat, 2006. GenStat for Windows, Release 9.1. VSN International Ltd, Hemel Hampstead, UK.         [ Links ]

Grant, R.J., Van Soest, P.J., McDowell, R.E. & Perez, C.B., 1974. Intake, digestibility and metabolic loss of Napier grass by cattle and water buffaloes when fed wilted, chopped and whole. J. Anim. Sci. 39, 423-434.         [ Links ]

Holmes, J.C. & Lang, R.W., 1963. Effects of fertilizer nitrogen and herbage dry-matter content on herbage intake and digestibility in bullocks. Anim. Prod. 5, 17.         [ Links ]

Johnson, W.L., Hardison, W.A., Ordoveza, A.L. & Castillo, L.S., 1968. The nutritive value of Panicum maximum (guinea grass). 111. Factors affecting voluntary intake by cattle and water buffaloes. J. Agric. Sci. 71, 67-71.         [ Links ]

Juko, C.D., Bredon, R.M. & Marshall, B., 1961. The nutrition of Zebu cattle. Part 2. The technique of digestibility trials with special reference to sampling, preservation and drying of faeces. J. Agric. Sci. 56, 93.         [ Links ]

Karnezos, T.P., 1986. Modelling animal performance on kikuyu and coastcross 11 pastures in Natal. MSc thesis, Department of Grassland Science, University of Natal, Pietermaritzburg, South Africa.         [ Links ]

Marais, J.P. & Evenwell, T.K., 1983. The use of trichloroacetic acid as precipitant for the determination of 'true protein' in animal feeds. S. Afr. J. Anim. Sci. 13, 138-139.         [ Links ]

Meissner, H H, van Niekerk, W A, Spreeth, E B & Köster, H H, 1988. Pasture intake by sheep and prediction parameters. Sth. Afr. Soc. Anim. Prod., 27^th Congress, Bloemfontein: Programme and Abstracts         [ Links ]

Minson, D.J., 1982. Effect of chemical composition on feed digestibility and metabolizable energy. Nutr. Abstr. Rev. Series B. 52, 591-615.         [ Links ]

Minson, D.J., 1990. Forage in Ruminant Nutrition. Academic Press, San Diego, California.         [ Links ]

Pasha, T.N., Prigge, E.C., Russell, R.W. & Bryan, W.B., 1994. Influence of moisture content of forage diets on intake and digestion by sheep. J. Anim. Sci. 72, 2455-2463.         [ Links ]

Pattinson, N.B., 1981. Dry Matter Intake: an estimation of the animal response to herbage on offer. MSc. thesis, Department of Grassland Science, University of Natal, South Africa.         [ Links ]

Pienaar, J.P., Tainton, N.M., Van Ryssen, J.B.J. & Swiegers, J.P., 1993. Factors affecting the voluntary feed intakes of sheep grazing Pennisetum clandestinum (kikuyu) pastures: observations in the animal. Afr. J Range Forage Sci. 10, 145-150.         [ Links ]

Reason, G.K., McGuigan, K.R. & Waugh, P.D., 1989. Some consequences to dairy cattle of the addition of nitrogen fertilizers to dryland grass pastures in south east Queensland. In: Recent Advances in Animal Nutrition in Australia. Ed. Farrell, D.J., Dept. Biochemistry, Microbiology and Nutrition, University of New England, Armidale, Australia.         [ Links ]

Reid, J.T., Kennedy, W.K., Turk, K.L., Slack, S.T., Trimberger, G.W. & Murphy, R.P., 1959. Effect of growth stage, chemical composition and physical properties upon the nutritive value of forages. J. Dairy Sci. 42, 567-577.         [ Links ]

Tainton, N.M., Barrow, K.H. & Bransby, D.I., 1982. An economic analysis of steer livemass gain from kikuyu differentially fertilized with nitrogen. Proc. Grassld. Soc. Sth. Afr. 17, 29-32.         [ Links ]

Van Soest, P.J. & Robertson, J.B., 1980. Systems of analysis for evaluating fibrous feeds. In: Standardization of analytical methodology for feeds. Eds. Pigden, W J, Batch, C C & Graham, M. Proceedings of a workshop held in Ottawa, Canada. pp. 49-60.         [ Links ]

Yoelao, K., Jackson, M.G. & Ishwar Saran, 1970. The effect of wilting berseem and lucerne herbage on voluntary dry-matter intake by buffalo heifers. J. Agric. Sci., Camb. 74, 47-51.         [ Links ]

 

 

# Corresponding author. E-mail: Trevor.Dugmore@kzndae.gov.za
* University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa