Livestock Research for Rural Development 29 (8) 2017 | Guide for preparation of papers | LRRD Newsletter | Citation of this paper |
Panicum glochiata and Panicum maximum growing along streams and hydromorphic areas are the most preferred dry season feeds for feeding dairy cattle in northern Malawi. Forage samples were collected to monitor the nutritive value for potential to supply dairy cow requirements during dry season under the cut-and-carry system of production. Proximate components, gross energy, fibre fractions and in vitro dry matter digestibility were determined using standard laboratory procedures.
The results revealed a decline in crude protein content (82-52g/kg DM) and digestibility (498-383g/kg DM) and an ncrease in ADF (486-555g/kg DM) and NDF (771-882g/kg DM) when harvesting was delayed from June to October. In general, the two grasses accumulated more fibre fractions, dropped in crude protein and digestibility declined sharply. This reduced potential of grasses from barely meeting maintenance requirements to below survival. To complement this traditional practice, it would be advisable to grow improved forages and conserve them as hay so that enough quality feed is available during the lean months. On the other hand, resorting to making hay from natural forages, when they are still potentially nutritious, would also optimize nutrient composition and utilization.
Key words: cut-and-carry system, dry season, hay, in vitro digestibility, natural grass
Smallholder dairy production substantially contributes to household food and income security in Malawi by providing consistent daily income (Tebug et al 2012). Smallholder dairy farming in Malawi is characterized by low inputs of a small herd size ranging from 2 to 4 cows. The majority of smallholder dairy farmers confine their dairy cows and practice zero-grazing throughout the year (Banda et al 2012). Zero-grazing requires a steady supply of high quality feeds to sustain milk production. Feed shortage during the dry season has been identified as a critical factor especially in the tropics and sub-tropics (Baur et al 2016). This stems from, among other reasons, high population pressure leading to less land allocated to improved pasture production which can be conserved for dry season. As a result farmers rely on harvesting forages from land not suitable for cultivation which are natural communal grasslands. However, rapid clearance of natural communal grasslands for crop cultivation as well as bushfires during dry season reduces the forage supply. In addition, natural forages precariously tend to be of low feeding value especially in the dry season. This is further compounded by some variation in rainfall pattern (Kasulo et al 2012) that negatively affects pasture production. Some areas in the northern region of Malawi experience cool climate with occasional precipitation during dry season that supports growth of grasses in dry season especially along perennial streams and hydromorphic areas. However these feed resources are not well characterized. This necessitates screening studies to evaluate feeding value of these naturally growing forages utilized by smallholder dairy farmers. This will complement earlier natural forage evaluation studies (Munthali and Dzowela 1985) since the choice of natural forages evaluated could not have been exhaustive. Evaluation of the nutritive value of natural forages is essential to provide a basis for development of adequate diets for dairy cows including the need for supplementation (Dierenfeld et al 2014). The study, therefore, aimed at monitoring the nutritive value of preferred natural grasses for potential to supply dairy cow requirements during dry season under the cut-and-carry system of production. The study intended to reveal nutritional gaps associated with the traditional cut-and-carry system and furnish information that would help farmers adopt strategies to offset potential nutrient gaps from natural forages.
The study was conducted in the northern region of Malawi targeting smallholder dairy farmers clustered around Mzuzu city. Mzuzu city lies between latitudes 11o 27ˈS-11o 36ˈS and longitudes 34 o0ˈE-34o17ˈE at an elevation of 1253m above sea level (www.mzuzu.climatemps.com). The area has humid subtropical mild summer climate with annual average temperature of 17.7oC. The total annual precipitation averages 1388.6mm. Most rainfall is experienced between December to April peaking in March (averaging 222mm) with August recording the least averaging 8mm. Soils from primary production fields in the northern region belong to the sandy loams or sand textural class. Sandy clay loams are found in hydromorphic areas. Soil acidity is moderate becoming acidic (pH 4.0) where localized Oxisol soils occur (Snapp 1998). Typical grass species include Hyparrhenia spp., Panicum spp., Themeda spp., Andropogon spp. and Brachiaria spp. In addition, woody shrubs such as Tephrosia aequilata and Humularia descampsii are found (Reynolds 2006).
Using extension workers and key farmers, two natural grasses preferred by smallholder dairy farmers for feeding dairy cattle were identified in three purposively selected milk bulking centers. The criteria for selection of the centers included activeness, registration to regional body, total membership and commitment of the members. The top two ranked forages were Panicum glochiata and Panicum maximum (hairy form, local ecotype). Forage samples were collected starting from the month of June, July, September to October, 2015. This period is dry season in Malawi when feed resources become critical. A total of 15 hand-grab sub-samples were collected by pacing along a 500 metre transect. The samples were pooled according to grass species and transported to the Animal Nutrition and Feed Technology Laboratory at Bunda campus, Lilongwe University of Agriculture and Natural Resources for further analyses. The sampling was repeated every month for four months.
All samples were first dried in an oven to constant weight then prepared by grinding using a Wiley Laboratory Mill to pass through a 1 millimeter mesh screen. Analysis for dry matter (DM) was determined by oven drying all samples at 105°C for 5 hours. Ash content was determined by igniting the dry samples in a muffle furnace at 550°C for 6 hours. Analyses for crude protein and ether extract were determined using methods described by AOAC (2002). Methods of van Soest et al (1991) were used to analyze fibre components of the forage samples, neutral detergent fibre (NDF) and acid detergent fibre (ADF), using the ANKOM 200 Fibre Analyzer (ANKOM Technology Corp., Fairport, NY). Gross energy content was determined in an oxygen bomb calorimeter (Parr 6100 Calorimeter, Parr Instrument Company, Moline, Illinois, USA). Finally, in vitro dry matter digestibility (IVDMD) was determined by the ANKOM technology method 3 using the DAISYII Incubator (ANKOM Technology Corp., Fairport, NY).
The data was managed and analyzed in GenStat for Windows 17th Edition (VSN International 2014). Analysis of variance (ANOVA) using the General Linear Model was used as a statistical test in a completely randomized block design. Means were separated using the Pearson’s protected LSD at 95% confidence level.
The results for nutrient composition are presented in Table 1 and illustrate the declining trend in CP content and IVDMD for Panicum glochiata and Panicum maximum as harvesting was delayed from June to October. On the other hand, fibre fractions and ash were increasing with delayed harvesting.
Table 1. Nutrient composition and digestibility of preferred natural forages (g/kg DM) |
|||||||||
Grass species |
Month |
DM |
CP |
NDF |
ADF |
GE† |
EE |
Ash |
IVDMD |
P. glochiata |
June |
430d |
80.9a |
771d |
486d |
18.6a |
46.0a |
86.3d |
498a |
|
July |
488c |
72.7b |
784c |
504c |
17.1b |
42.3a |
93.0c |
449b |
|
September |
569b |
58.8c |
825b |
534b |
14.6c |
28.1b |
98.4b |
406c |
|
October |
657a |
52.3d |
862a |
546a |
12.3d |
21.2c |
109.9a |
394d |
p- value |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
0.006 |
0.001 |
0.001 |
|
P. maximum |
June |
427d |
82.9a |
787d |
491d |
16.7a |
45.1a |
85.5c |
474a |
|
July |
483c |
79.5b |
799c |
507c |
15.0b |
42.6ab |
88.9c |
453b |
|
September |
585b |
53.1c |
874b |
528b |
12.6c |
38.4b |
103.2b |
420c |
|
October |
672a |
51.9c |
882a |
555a |
10.2d |
26.5c |
113.8a |
383d |
p- value |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
|
SEM |
0.24 |
0.87 |
0.13 |
0.23 |
0.22 |
0.18 |
0.09 |
0.20 |
|
abcd means followed by different superscripts in a column within same species are significantly different according to LSD (p<0.05) DM=dry matter, CP=crude protein, NDF=neutral detergent fibre, ADF=acid detergent fibre, GE† =gross energy(MJ/kg DM), EE=ether extract, IVDMD=in vitro dry matter digestibility, SEM=standard error of mean |
Crude protein content of Panicum glochiata and Panicum maximum significantly decreased at each sampling month from June to October (p<0.05). With delayed harvesting, grasses were progressively drying off. This is consistent with attainment of maturity stage as grasses develop physiologically from vegetative to reproductive phases hence increased stem fraction compared to leaf fraction. Stem elongation leads to accumulation of cell wall fraction which provides strength to the plant and less cell contents hence lowering leaf to stem ratio. Consequently, more mature grass has less cell contents than fibre. In addition, there is leaf shattering with advanced maturity. This is in strong agreement with earlier studies (Agza et al 2013; Ismail et al 2015) which reported a drop in CP content of natural forages with increasing stage of harvesting which was attributed to the decrease in leaf to stem ratio and the dilution of the nitrogen content by the increased structural carbohydrates. Similarly, Kubkomawa et al (2015) reported a remarkable decline in crude nitrogen content of Cenchrus biflorus. This characteristic Sahelian grass had a CP content drop from 160g/kg DM in growing plants during the rainy season to 40g/kg DM in foggage in November and only 26g/kg DM in foggage in April. However, van Soest (1994) reported that for a healthy rumen function ruminants require 75g/kg DM CP. For a lactating dairy cow the requirements rise to between 100 and 180g/kg DM depending on stage of lactation (NRC 2001; Moran 2009). Therefore, CP values recorded in this study hardly met the rumen microbial function requirements, and when lactation needs are factored in, delaying harvesting of the natural grasses only aggravated the protein deficiency problem. The cut and carry system is, therefore, unsustainable to furnish protein needs of a dairy cow.
The concentration of fibre fractions (NDF and ADF) significantly increased, in both grass species, when harvesting was delayed from June to October (p<0.05). This was due to accumulation of structural carbohydrates as the forages mature. Similar observations were reported by Tessema et al (2010) and Agza et al (2013) when natural forages were harvested at an advanced stage of maturity and this was attributed to increased cell wall lignification. However, NDF content in this study (770-880g/kg DM) is out of range (200-800g/kg DM) of forage dry matter weight reported by Wilson (1994), probably related to highly advanced maturity of forages in the present study. McDonald et al (2002) reported that tropical grasses have on average 660g/kg DM NDF content. At the same time, Singh and Oosting (1992) stated that feeds with more than 650g/kg DM NDF content were classified as low quality forages. Natural grasses evaluated fit in this category. This could affect the intake of the forages and limit production and productivity of dairy cows.
Regarding in vitro dry matter digestibility both Panicum glochiata and Panicum maximum significantly declined in digestibility (p<0.05). This drop became pronounced at the tail end in October. The findings are consistent with reports by Tessema et al (2010) and Agza et al (2013) when grass species were harvested at relatively advanced stages of growth. This was attributed to the deposition of lignin in the cell wall with increasing maturity and the increasing proportion of stem which becomes less digestible when compared with the leaf portion.
Figures 1 and 2 describe the trend in crude protein content and in vitro dry matter digestibility of the natural grasses with time into the dry season. Crude protein content declined in both forages as season progressed. The trend line in figure 2 support this finding since digestibility is positively correlated to crude protein which represent the easily degradable fraction of the plant. Similar trends were also reported by Dzowela et al (1990).
Figure 1. Trend of crude protein content of natural grasses with time into the dry season |
Figure 2. Trend of in vitro digestibility of natural grasses with time into dry season |
Overall, when harvesting of the natural grasses was delayed from June to October, it was observed that the quality drastically dropped. When this is related to dairy cattle requirements, the forages are limited to supply needs particularly of lactating cows this becoming pronounced with delayed harvesting. The remedy is for farmers to grow improved forages and make hay to fill the nutrient gap in these critical months.
The Authors are grateful to European consortium under The Agricultural Research for Development, Dimension of the European Research Area (ERA ARD II) for financial support through “Developing and evaluating sustainable integrated farming systems for improvement of smallholder dairy production while optimizing crop production in milk shed areas of Malawi and Zambia (IFS SMADAP)” project. Further gratitude to project partners: Agroscope (Institute for Sustainability Sciences) of Switzerland and Institute for Agricultural and Fisheries Research (ILVO) of Belgium.
Agza B, Kassa B, Zewdu S, Aklilu E and Alemu F 2013 Forage yield and nutritive value of natural pastures at varying levels of maturity in North West lowlands of Ethiopia. World Journal of Agricultural Sciences, 1(3):106-112.
AOAC 2002 Official Methods for Analysis of AOAC International. AOAC International, Washington, D.C, USA.
Banda L J, Kamwanja L A, Chagunda M G G, Ashworth C J and Roberts D J 2012 Status of dairy cow management and fertility in smallholder farms in Malawi . Tropical Animal Health and Production, 44(4):715–727.
Baur I, Tabin L, Banda M, Chiumia D and Lips M 2016 Improving dairy production in Malawi: A literature review. Tropical Animal Health and Production, 49(2):251-258.
Dierenfeld E S, Lukuyu B and Nyagaka D 2014 Nutrient Composition of Pastures in Kayunga District, Uganda: A Preliminary Investigation with Implications for Seasonal Supplementation in Grazing Ruminants. American Journal of Plant Sciences, 5:985-989.
Dzowela B H, Kumwenda M S L, Msiska H D C, Hodges E M and Gray R C 1990 Seasonal trends in forage dry matter production of some improved pastures and animal performance in relation to chemical composition in Malawi . Animal Feed Science and Technology, 28: 255-266.
Ismail A B O, Sulaiman Y R, Ahmed F A and Ali H A M 2015 Effect of stages of maturity on nutritive value of some range herbage species in low-rainfall woodland Savanna Southern Darfur, Sudan. Open Journal of Animal Sciences, 5:1-8.
Kasulo V , Chikagwa-Malunga S, Chagunga M G G and Roberts D J 2012 The perceived impact of climate change on smallholder dairy production in northern Malawi. African Journal of Agricultural Research, 7(34):4830 - 4837
Kubkomawa H, Olawuye H U, Krumah L J, Etukl E B and Okolil I C 2015 Nutrient requirements and feed resource availability for pastoral cattle in the tropical Africa: A review.Journal of Agricultural and Crop Research, 3(7):100-116.
McDonald P, Edwards R A, Greenhalgh J F D and Morgan C A 2002 Animal Nutrition, 6th edition. Harlow: Prentice Hall.
Moran J B 2009 Key performance indicators to diagnose poor farm performance and profitability of smallholder dairy farmers in Asia.The Free Library. [Retrieved June 7, 2014 from http://www.thefreelibrary.com].
Munthali J T and Dzowela B H 1985 Inventory of livestock feeds in Malawi. In: J A Kategile, A N Said and B H Dzowela (Editors), Animal feed resources for small scale livestock producers: Proceedings of the second PANESA workshop held in Nairobi, Kenya 11-15 November, 1985.IDRC-MR 165e.International Development Research Centre, Ottawa, Ontario.
National Research Council 2001 Nutrient Requirements of Dairy Cattle. 7th Revised Edition. The National Academies Press, Washington DC.
Reynolds L 2006 Country pasture/Forage resource profile. [Retrieved on 7th June, 2014 from http://www.fao.org/ag/AGP/AGPC/doc/Counprof/malawi/Malawi.htm]
Singh G P and Oosting S J 1992 A model for describing the energy value of straws.Indian dairy man, XLIV: pp. 322– 327.
Snapp S S 1998 Soil nutrient status of smallholder farms in Malawi. Communications in Soil Science and Plant Analysis, 29 (17): 2571-2588.
Tebug S F, Kasulo V, Chikagwa-Malunga S, Chagunda M G G, Roberts D J and Wiedemann S 2012 Smallholder dairy production in northern Malawi: production and health constraints. Tropical Animal Health and Production, 44 (1):55–62.
Tessema Z, Ashagre A and Solomon M 2010 Botanical composition, yield and nutritional quality of grassland in relation to stages of harvesting and fertilizer application in the highlands of Ethiopia.African Journal of Range and Forage Science, 27(3): 117-124.
Van Soest P J 1994 Nutritional ecology of the ruminant. 2nd edition . Cornell University Press, Ithaca, OR, Pp 476.
Van Soest P J, Robertson J B and Lewis B A 1991 Methods for dietary fiber, neutral detergent fiber and non-starch polysaccharides in relation to animal nutrition. Journal of Dairy Science, 74:3583-3597.
VSN International 2014 GenStat for Windows 17th Edition. VSN International, Hemel Hempstead, UK.
Wilson J R 1994 Cell wall characteristics in relation to forage digestion by ruminants. Journal of Agricultural Science, 122: 173-182.
Received 24 April 2017; Accepted 11 May 2017; Published 1 August 2017