Livestock Research for Rural Development 18 (10) 2006 | Guidelines to authors | LRRD News | Citation of this paper |
This experiment was carried out at the regional research sub-station Ol'Joro Orok in Nyandarua District over a period of 2 years. Thirty-six plots of 2 x 2 sq. m were demarcated. Vicia villosa (common vetch) and Sorghum almum (Columbus grass) were allotted at random to three (3) treatment blocks (Manure [M]; Fertilizer [F] and control [C]). Each of the forages under investigation had 6 replicates in each block. Forage height was monitored on weekly basis over 12-week period using a one metre wooden ruler. Air and total dry matter (aDM and tDM) and chemical components were determined using standard procedures. The obtained values were used to predict forage digestibility of dry matter (DDM), dry matter intake (DMI), gross energy digestibility (% GED), relative feed value (RFV), relative feed quality (RFQ) and quality index (QI) using NRC and NFTA recommended equations. At the 19th week all plots were harvested (5 cm from the ground) to determine fresh matter yield (FMY) from which dry and organic matter yields (DMY and OMY) were derived. The data were stored in MS excel and later subjected to SPSS (2000) to determine descriptive statistics. One-way ANOVA and t-test were also applied to determine treatment differences.
At 12 weeks of age, forage height ranged between 28.6 - 36.4 cm (C); 36.2 - 45.2 cm (F) and 42.3 - 47.7 cm (M) for Vicia villosa. The significant differences in height observed between C and M or F were attributed to the supplied N and the climbing anchor provided by Sorghum almum. Dry matter contents were not significantly different. Pure vetch stand under M or F registered the highest CP level (18.3 and 18.7% in DM, respectively). The same was reflected in Sorghum almum (M - 11% and F - 11.1%). Significant differences were also observed on yields. In pure stand, common vetch plots receiving either manure or inorganic fertilizer recorded 32% (8.75 or 7.5 kg m-2) higher yields compared to C (5.95 kg m-2). Under intercrop, the same treatments also recorded 33.4% (3.5 or 3.38 kg m-2) higher yields compared to C (2.33 kg m-2). However, intercropping had negative implication on FMY of common vetch (ranging 5.95 - 8.75 kg m-2 pure stand and 2.33 - 3.5 kg m-2 intercropped: 59 - 60% less). A similar trend was observed with Sorghum almum (in pure stand: C - 8.7; M - 14.3 and F - 14 kgm-2 and under intercrop: C - 8.2; M - 9.6 and F - 10.8 kg m-2). RFV, RFQ and QI values were slightly higher for M and F compared to C.
It was therefore concluded that manure or fertilizer can significantly increase Common vetch and Columbus grass yields and improve the overall quality. However, intercropping negatively impacted on branching of both crops particularly vetch thereby reducing their biomass yields.
Key words: Dry and organic matter digestibility, gross energy digestibility, inter-cropping, quality index, relative feed quality, relative feed value
In Kenya, the dairy sub-sector is predominantly a smallholder domain (Peeler and Omore 1997; Staal et al 1999; Conelly 1998; Thorpe et al 2000). Presently, dairy production in Kenya is threatened by a myriad of constraints. Inadequate nutrition is the single most critical constraint militating against increased dairy production, especially during dry season when forage quality and quantity is low. This is largely attributed to sub-division of land resources into small uneconomic units and the subsequent decline in soil fertility (which arises from continuous nutrient mining). This has led to rapid decline in fodder crop yields and therefore lack of adequate feed and prevalence of malnutrition-related ailments on smallholder dairy farms. This is evidenced by the reported low milk yield per cow (average 7 kg/cow/d; Lanyasunya et al 1998), high rate of infertility (65%; Lokwaleput et al 1999), mortality and stagnation of dairy cattle population growth over the last decade (CBS 1999). The challenge therefore is how to enhance milk production on these farms. This calls for judicial utilization of cheaply available feed resources, application of cost effective forage production and utilization technologies, particularly those known to enhance soil fertility to ensure feed self-sufficiency throughout the year. Vicia sativa and Vicia villosa have widely been used to improve soil fertility and protein supplements for ruminants. Their excellent compatibility with cereals (such as Zea mays) when under sown is well recognized. They are however both less utilized in Kenya. One reason is that they are less known among smallholder farmers. It is strongly believed that their integration in the smallholder farming systems will offer an alternative to less cold tolerant but very popular forages such as Pennisetum purpureum (Napier grass). They have the potential of enhancing the quality of crop residues during the dry season.
The current study was conducted to determine the influence of age (growth stage) and secondary sources of nitrogen (N) on dry matter yield (DMY) and nutritive values of vetches and Columbus grass grown either as pure stand or intercrop. The goal was to find ways of enhancing feed availability through integration of cost effective fodder production and soil fertility improvement strategies into dairy farming systems particularly in the cooler, frost-prone dairying areas such as Nyandarua district.
Ol'Joro Orok division is relatively small and largely dominated by smallholder resource-poor farmers owning between 2.9 to 6.0 ha farms. Approximately half of the area is grazing land, with most of the farmers' income coming from dairy cows herds of between 3 and 10 heads (mix breed). Arable farming is based on maize, beans, potatoes and vegetables. Due to declining farm size, the production of wheat, barley and pyrethrum, which were previously the main crops, have decreased. The area has a hilly topography with altitudes around 2,400 meters above sea level. According to Jaetzold and Schmidt (1983), the area is classified as Upper Highland Wheat Pyrethrum Zone. Two major soil types are found in the area; moderately well drained, dark reddish-brown Luvisols ranging from 0.80 to 1.80 m depth, and extremely deep (> 1.80 m), well drained, red to reddish-brown nitisols (Kenya Soil Survey 1982). The soils of the area have a moderate to low fertility. Water-holding capacity is moderate with moderate to good soil work-ability (Jaetzold and Schmidt 1983). The subtropical highland climate of the area is influenced by its proximity to the equator and its altitude (Ojany and Ogendo 1973). Mean annual rainfall is around 980 mm, with rain falling throughout the year and peaks in April and July/August.
This experiment was carried out (November 2002 to August 2004) in the forage experimental unit at the regional research sub-station Ol'Joro Orok in Nyandarua district. Ol'Joro Orok is a sub-station for the National Animal Husbandry Research Centre (NAHRC)/Naivasha. Thirty-six plots, of 2 x 2 sq. m, were demarcated and prepared (seedbed, shedding, fertilization) for establishment of the test forages: Vicia villosa (referred to in Kenya as common vetch) and Sorghum almum (Columbus grass) which were planted as pure stands or as mixtures in three blocks. The plots in each block were allotted at random to three (3) treatments (Manure [M]; Fertilizer [F] and Control [C]) with four replicates each per block (Figure 1)..
Vicia sativa
Rep 1 |
Control |
Manure |
Fertilizer |
Rep 2 |
Manure |
Control |
Fertilizer |
Rep 3 |
Fertilizer |
Manure |
Control |
Rep 4 |
Control |
Fertilizer |
Manure |
Sorghum almum
Rep 1 |
Fertilizer |
Manure |
Control |
Rep 2 |
Manure |
Control |
Fertilizer |
Rep 3 |
Fertilizer |
Manure |
Control |
Rep 4 |
Control |
Fertilizer |
Manure |
Mixture
Rep 1 |
Manure |
Control |
Fertilizer |
Rep 2 |
Fertilizer |
Control |
Manure |
Rep 3 |
Fertilizer |
Manure |
Control |
Rep 4 |
Control |
Fertilizer |
Manure |
One to 5 day old dry sheep manure bulked in a heap outside the kraal and covered with a polythene sheet to minimize effects of either rain, winds or sunshine was used, Diammonium phosphate, (NH4)2HPO4 (DAP: 18 - 46 - 0) and Calcium Ammonium Nitrate CAN (50% N) fertilizers were used to fertilize the soil at the rate of 50 kg/acre (Snijders 1995) which translated to 49.5 g/4 m2.
In the absence of rainfall, moderate soil moisture level was maintained manually through a watering can. Watering was done once after every 3 days for the first 2 weeks and once after 5 days thereafter. All plots received equal amount of water.
Sampling for chemical analysis commenced 4 weeks after planting. Samples were harvested 5 cm from the ground. They were chopped using hand operated chuff cutter to small pieces (2 cm long), mixed thoroughly and 2 composite samples (500 gm each) were taken from each test forage plot for laboratory analysis. DM on fresh herbage was determined by drying the samples at 65o C for 24 h. These samples were then milled and residual moisture determined by drying at 105o C for 24 h, before subjecting the samples to chemical analysis.
Ash content was determined by ashing in a muffle furnace at 550o C for 3 h (Abdulrazak and Fujihara 1999). Crude protein content was analyzed by the Kjeldahl method (%N x 6.25). Acid detergent fibre (ADF), neutral detergent fibre (NDF) and acid detergent lignin (ADL) were determined according to Van Soest et al (1991) and AOAC (1988). Hemicellulose and cellulose were determined as described by Abdulrazak and Fujihara (1999). Mineral profiles were determined according to Varma (1991) and Fick et al (1999).
The obtained values were used to predict forage digestibility (DDM), intake (DMI), gross energy digestibility (%GED), relative feed value (RFV), relative feed quality (RFQ) and quality index (QI). Digestible dry matter (DDM) was calculated from ADF using the equation defined by Grant (1994). At the end of the trial fresh matter yield (FMY) was determined by harvesting the whole herbage in each plot at 5 cm above the ground. The harvested herbage was immediately weighed using field-weighing balance (50 kg). The data collected for 9 weeks (4 - 12) were used to demonstrate variation in growth among treatments.
The data were stored in MS Excel (2000) and later subjected to SPSS (2003) to determine descriptive statistics. One-way ANOVA and t-test were also applied to investigate the statistical differences between treatments.
The results showing the influence of treatment on DM, OM, chemical composition, Yield (tonnes/ha), DDM, GED and quality (RFV; RFQ and IQ) of Vicia villosa intercropped with Sorghum almum harvested at the age of 18 weeks, are presented in table 1 and 2.
Table 1. Influence of manure and inorganic fertilizer on chemical composition of Vicia villosa intercropped with Sorghum almum harvested at the age of 18 weeks |
||||||
Components |
Vicia sativa pure stand |
Vicia sativa in Sorghum almum mixture |
||||
Control |
Manure |
Fertilizer |
Control |
Manure |
Fertilizer |
|
Dry matter, % |
22.7 |
26.1 |
24.2 |
24.6 |
26.7 |
24.5 |
As % of DM | ||||||
Organic matter |
82.8 |
84.8 |
82.8 |
83.6 |
82.1 |
81.7 |
Crude Protein |
16.6 |
18.3 |
18.7 |
15.4 |
16.2 |
16.9 |
Neutral detergent fibre |
57.4 |
56.8 |
54.3 |
56.6 |
57.2 |
58.2 |
Acid detergent fibre |
47.2 |
43.8 |
43.6 |
48.5 |
47.8 |
46.3 |
Acid detergent lignin |
12 |
12.2 |
10 |
10.9 |
8.6 |
10.1 |
Hemicellulose |
10.3 |
13 |
10.7 |
8.1 |
9.8 |
11.9 |
Cellulose |
41.3 |
31.6 |
33.6 |
37.6 |
38.8 |
36.2 |
Ash |
8.2 |
6.8 |
8 |
6.9 |
8.9 |
9.4 |
|
Table 2. Influence of manure and inorganic fertilizer on yield and quality of Vicia villosa intercropped with Sorghum almum harvested at the age of 18 weeks |
||||||
Components |
Vicia sativa pure stand |
Vicia sativa in Sorghum almum mixture |
||||
Control |
Manure |
Fertilizer |
Control |
Manure |
Fertilizer |
|
Average fresh weight yield, kgm-2 |
5.95 |
8.75 |
7.5 |
2.33 |
3.5 |
3.38 |
Av. total dry matter yield, kgDMm-2 |
1.23 |
2.09 |
1.65 |
0.52 |
0.85 |
0.76 |
Av. organic matter yield, kgOMm-2 |
1.12 |
1.93 |
1.51 |
0.48 |
0.76 |
0.69 |
Digestible dry matter, % DDM |
52.1 |
54.8 |
54.9 |
51.1 |
51.7 |
52.8 |
Est. Fresh matter yield, Ton. FMha-1 |
59.5 |
87.5 |
75 |
23.3 |
35 |
33.8 |
Est. Dry matter yield, Ton. DMha-1 |
13.5 |
22.8 |
18.2 |
5.7 |
9.3 |
8.3 |
Est. Org. matter yield, Ton. OMha-1 |
11.2 |
19.3 |
15.1 |
4.8 |
8.5 |
7.6 |
Dig. Dry matter yield, Ton. DDMha-1 |
7.03 |
12.49 |
9.99 |
2.9 |
4.81 |
4.38 |
Gross energy digestibility, % |
48.5 |
49.6 |
49.7 |
48.1 |
48.4 |
48.8 |
Relative feed value, RFV |
84.4 |
89.6 |
94.1 |
84.0 |
84.2 |
84.3 |
Relative Feed Quality, RFQ |
79.7 |
84.9 |
89.1 |
79.2 |
79.8 |
79.7 |
Quality Index, QI |
1.09 |
1.16 |
1.21 |
1.09 |
1.1 |
1.09 |
ha = hectare (1 ha = 10 000 m2); DDM = Digestible Dry Matter = 88.9 - (.779 x %ADF) (Bath and Marble 1989; Grant 1994); DMI = Dry Matter Intake = 120 / %NDF; RFV = DDM x DMI / 1.29 (Moore and Undersander 2002; Jeranyama and Garcia 2004); RFQ = (DMI, % of BW) * (TDN, % of DM) / 1.23. ((Moore et al. 1996; Moore and Undersander 2002; Jeranyama and Garcia 2004); QI = .0125 * RFQ + .097 (Moore and Undersander 2002; Jeranyama and Garcia 2004); GED = 57.1 + 0.150CP – 0.234ADL (Haj-Ayed et al 2000); TDN = 82.38 - (0.7515 x ADF) (Bath and Marble 1989; Putnam and de Peters 1997) |
The DM, OM and cell wall components were not different among treatments (P>0.05). A slight elevation in %CP was however observed in pure Vicia villosa stand under M and F treatments. Large differences in yield were observed between Vicia villosa pure stand and that intercropped with Sorghum almum (Table 2). Fresh matter yield (FMY; kgm-2 or tonha-1) in Vicia villosa pure stand were higher than that of Vicia villosa in Sorghum almum mixture (Table 2) (P<0.01). Though not significantly different, slight elevations were noted in the derived values (DDM, GED, RFV, RFQ, QI for M and F treatments. This was similarly reflected in estimated Dry matter yield (Ton. DMha-1) and Organic matter yield (Ton. OMha-1; P<0.05). Generally DM, OM and cell wall component were not significantly different for Sorghum almum under the 3 treatments (Table 3; P>0.05).
Table 3. Influence of manure and inorganic fertilizer on chemical composition of Sorghum almum in pure stand or intercropped with Vicia villosa harvested at the age of 18 weeks |
||||||
Components |
Sorghum almum pure stand |
Sorghum almum in Vicia sativa mixture |
||||
Control |
Manure |
Fertilizer |
Control |
Manure |
Fertilizer |
|
Dry matter, % |
20.9 |
19.1 |
19.3 |
21.5 |
18.3 |
18.8 |
As % of DM | ||||||
Organic matter |
84.6 |
85.2 |
84.4 |
84.5 |
85.8 |
85.3 |
Crude Protein |
8.7 |
11 |
11.1 |
9.6 |
10.4 |
10.8 |
Neutral detergent fibre |
70 |
66.7 |
67.1 |
69.7 |
68.0 |
68.1 |
Acid detergent fibre |
38.1 |
31.7 |
35.4 |
32.3 |
34.9 |
37.9 |
Acid detergent lignin |
6.9 |
7.7 |
6.7 |
5.9 |
5.8 |
6.2 |
Hemicellulose |
31.9 |
35 |
31.7 |
37.4 |
33.1 |
30.2 |
Cellulose |
31.2 |
24 |
28.7 |
26.4 |
29.1 |
31.7 |
Ash |
6.7 |
5.4 |
7.3 |
6.9 |
6.1 |
6.1 |
Slightly higher crude protein content was observed for M and F treatments. Mean heights of Sorghum almum under M and F were evidently higher compared to C. The mean fresh matter yields for M and F within pure stand blocks were significantly higher compared to C (Table. 4).
Table 4. Influence of manure and inorganic fertilizer on yield and quality of Sorghum almum in pure stand or intercropped with Vicia villosa harvested at the age of 18 weeks |
||||||
Components |
Sorghum almum pure stand |
Sorghum almum in Vicia sativa mixture |
||||
Control |
Manure |
Fertilizer |
Control |
Manure |
Fertilizer |
|
Total fresh weight yield, kgm-2 |
8.7 |
14.3 |
14 |
8.2 |
9.6 |
10.8 |
Av. total dry matter yield, kgDMm-2 |
1.67 |
2.47 |
2.48 |
1.61 |
1.63 |
1.86 |
Av. total Organic matter yield, kgOMm-2 |
1.41 |
2.11 |
2.09 |
1.36 |
1.40 |
1.59 |
Digestible dry matter, % DDM |
59.2 |
64.2 |
61.3 |
63.7 |
61.7 |
59.4 |
Est. Fresh matter yield, Ton.FMha-1 |
87 |
143 |
140 |
82 |
96 |
108 |
Est. dry matter yield, Ton.DMha-1 |
16.7 |
24.7 |
24.8 |
16.1 |
16.3 |
18.6 |
Est. Total Organic matter yield, TonOMha-1 |
14.1 |
21.1 |
20.9 |
13.6 |
14.0 |
15.9 |
Est. Dig. Dry matter yield, Ton.DDMha-1 |
8.4 |
13.6 |
12.8 |
8.7 |
8.6 |
9.4 |
Gross energy digestibility, % |
56.79 |
56.95 |
57.20 |
57.16 |
57.30 |
57.27 |
Relative feed value, RFV |
184.2 |
223.8 |
217.7 |
206.4 |
211.2 |
208.8 |
Relative Feed Quality (RFQ) |
175.4 |
214.1 |
207.8 |
197.4 |
201.6 |
198.8 |
Quality Index (QI) |
2.29 |
2.77 |
2.69 |
2.56 |
2.62 |
2.58 |
DMI = -2.318 + .442*CP -.0100*CP2 - .0638*TDN + .000922*TDN2+ .180*ADF - .00196*ADF2 - .00529*CP*ADF (Moore and Kunkle 1999 model recommended for grasses); DMI = DM intake, % of BW; TDN = total digestible nutrients, % of DM;) |
Both Vicia villosa and Sorghum almum under intercrop performed poorly in terms of fresh matter yields. Since the same seed and fertilizer rates were applied to all plots, the only factor attributed to the low yield was the non-complementary effect they seemed to have on each other. It was observed that Sorghum almum grew faster and more vigorously hence providing a shading effect to Vicia villosa at a critical leaf and branching stage. Vicia villosa on the other hand seemed to have a negative effect on Sorghum almum's early tillering. The obtained RVF, RFG and QI values for Sorghum almum were higher compared to those for Vicia villosa. This was attributed their differences in cell wall components. Some of the NFTA and NRC recommended equations used to derive quality indices for forage feeds, particularly in cooler areas, were used in the current study with a purpose of establishing the feeding value of the forages under investigation. Relative feed value index (RFV) is an index used to ranks cool season legumes, grasses and mixtures by potential digestible dry matter intake (Rohweder 1984; Mertens 1985). It enables allocation of forages to the proper livestock class with a given level of expected performance. RFV is calculated from digestible dry matter and dry matter intake. Quality index (QI) was developed as an overall index of forage quality. Relative Feed Quality (RFQ) is an improved version of RFV. It is an estimate of voluntary intake of available energy when forage is fed as the sole source of energy and protein. It adds measures for fiber digestibility as well as quantity. The intake component is DMI as a percentage of BW, as in RFV, and the available energy component is TDN (% of DM), as in QI. Digestible dry matter is an estimate of the total digestibility of the feed and is calculated from acid detergent fiber. Dry matter intake is an estimate of the amount of feed an animal will consume in percent of body. The developers of the models recommend that these equations with DDM, DMI, and RFV calculations are applicable to legume, legume-grass and cool season grass fresh forages, hays and hay-lages. It was on this basis that they were adapted in the current study. Application of either manure or fertilizer increased the RFV, RFQ and QI suggesting an increase in quality. This was slightly below the starting point according the RFV scale. According to RFV scale, RFV below 100 is considered lower than basic starting point, which is RFV 100. High producing dairy cows require a feed with RFV above 130.
The high crude protein content of Vicia villosa and the high biomass yield of Sorghum almum as observed in the current study makes them suitable as ruminant livestock protein supplement and basal feed respectively.
Manure or fertilizer had positive effect on yield and quality of the test forages.
It was however concluded that despite the positive effects observed in the current study, manure might not be a sustainable alternative to boost forage yields on smallholder resource - poor farms in Kenya. This is because the number of manure producing animals per farm household is low and manure collection/handling methods are poor. This is further complicated by the large amount of manure required to supply sufficient N, for forages such as Sorghum almum.
Intercropping Vicia villosa and Sorghum almum may not have tangible positive effect on yield.
If they have to be intercropped, then adequate spacing should be provided to minimize shading so as to allow tillering/branching of both crops.
Use of fertilizer or compost manure to supplement the scarce animal manure is strongly encouraged.
Though the RFV, RFQ and QI values obtained in the current study were mainly based on the recommended NRC and NFTA equations, it is recognized that intake prediction equations that include a measure of digestibility may have the potential to provide more acceptable predictions than equations based on chemical analyses alone. Use of In vitro NDF digestibility with multiple regression equations (using two or more laboratory analyses rather than single analysis) is therefore suggested.
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Received 14 April 2005; Accepted 14 March 2006; Published 4 October 2006