Beef and buffalo
Winrock International Institute for Agricultural Development (1986) pointed out that with the exception of a few large government run and privately run cattle/buffalo farms, almost all of the draft and beef cattle are kept by smallholders. Their view was that in this situation animals are well integrated into the economic structure of the farm and village life. Although the Winrock report was produced over a decade ago, the beef industry is still mainly in the hands of smallholders. Most cattle are found in the provinces of Java, Madura, Bali and Lombok where the population density is high. The smallholders use few cash inputs in rearing the animals, and labour supplied usually by the farmer or some other family member is the major input. The labour requirements vary depending on how the cattle are managed. Many smallholders leave the cattle in pens and bring feed to them. This confinement management is referred to as cut and carry. As this name implies, grass is cut by the farmer or by labourers and carried to stalls or yards where the animal is held. Other smallholders tether their animals in grazing areas during the day and confine them at night. In still other cases, children or older people may herd the animals during the day. In some areas, cattle are permitted to run free in designated areas during the cropping season and are permitted to graze crop residues during the dry season. Since recycling of crop residues is an important function of cattle, keeping them tethered makes it easier for manure to be collected. Allowing the cattle free range requires close supervision to maintain the security of the animals.
Table 26 shows the number of beef cattle raising households while Table 27 shows the number of beef cattle from 1985 to 1997 in each of the provinces. The number of households remained almost unchanged for the country as a whole although there have been some fairly dramatic changes when the data for individual provinces are examined. For example, the government statistics showed Lampung and Bengkuku had no beef cattle raising households in 1963, but by 1993, Lampung had 125000 and Bengkuku had 13000. Similar changes occurred to the provinces in Sulawesi
The change in the numbers of beef cattle in Indonesia between 1985 and 1997, while large, was nothing like the magnitude of the changes in the poultry numbers. The government statistics indicate that cattle numbers increased from 9110000 to 12149000 or by about 33 per cent between 1985 and 1997. Lampung, Jambi, Irian Jaya and Kalimantan Timur had the largest relative increase in beef cattle numbers between 1985 and 1997. In each of these provinces, cattle numbers at least tripled. The highest beef cattle populations in 1997 were in Jawa Tengah (Central Java) and Jawa Timur (East Java). These were the provinces that had the highest numbers of cattle at the start of this decade as well (Figure 10).
The Indonesian government nominated seven provinces (Jawa Timur, Jawa Tengah, Yogyakarta, Lampung, Sumatera Selatan, Sumatera Barat and Nusa Tenggara Barat) for its cattle intensification program (INSAPP) in 1997-98. The objective of this program was to increase the beef cattle population by natural increase of 318340. Under the program, semen from pure breed bulls was to be distributed to farmers. The program was to be extended to other provinces in following years. At the time of writing, it was not clear whether the program was to be shelved.
Table 26. Number of beef cattle household 1963, 1973, 1983 and 1993
|
Provinces |
1963 |
1973 |
1983(a) |
1993(b) |
|
DI Aceh |
57921 |
70873 |
39366 |
75000 |
|
Sumatera Utara |
39852 |
41414 |
37184 |
50000 |
|
Sumatera Barat |
94700 |
99233 |
49918 |
63000 |
|
Riau |
5304 |
5535 |
8173 |
24000 |
|
Jambi |
8525 |
8843 |
13535 |
17000 |
|
Sumatera Selatan |
53783 |
41364 |
40627 |
65000 |
|
Bengkuku |
0 |
6299 |
4446 |
13000 |
|
Lampung |
0 |
52614 |
50040 |
125000 |
|
|
|
|
|
|
|
DKI Jakarta |
560 |
821 |
1302 |
0 |
|
Jawa Barat |
59097 |
67321 |
57622 |
53000 |
|
Jawa Tengah |
578127 |
563177 |
412957 |
473000 |
|
DI Yogyakarta |
98813 |
120240 |
66843 |
95000 |
|
Jawa Timur |
1311646 |
1301426 |
1078578 |
1180000 |
|
|
|
|
|
|
|
Bali |
169486 |
189774 |
100227 |
127000 |
|
Nusa Tenggara Barat |
66766 |
82024 |
79237 |
107000 |
|
Nusa Tenggara Timur |
81676 |
66393 |
70649 |
79000 |
|
Timor-Timur |
0 |
0 |
7159 |
20000 |
|
|
|
|
|
|
|
Kalimantan Barat |
12020 |
18028 |
21840 |
38000 |
|
Kalimantan Tengah |
3334 |
4314 |
3647 |
7000 |
|
Kalimantan Selatan |
4509 |
8035 |
13237 |
26000 |
|
Kalimantan Timur |
1716 |
1009 |
3133 |
12000 |
|
|
|
|
|
|
|
Sulawesi Utara |
65101 |
61439 |
53298 |
57000 |
|
Sulawesi Tengah |
0 |
42481 |
42640 |
44000 |
|
Sulawesi Selatan |
46695 |
118921 |
179292 |
164000 |
|
Sulawesi Tenggara |
0 |
2346 |
13735 |
32000 |
|
|
|
|
|
|
|
Maluku |
0 |
6249 |
6827 |
16000 |
|
Irian Jaya |
0 |
0 |
7159 |
20000 |
|
|
|
|
|
|
|
Indonesia |
2759631 |
2980220 |
2458164 |
2976000 |
Notes: (a) beef cattle and dairy cattle; (b) preliminary figuresSource: Direktorat Jenderal Peternakan (1996), p. 50
Table 27. Beef cattle numbers by province, 1985 to 1997
|
Provinces
|
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997(a) |
1997/ 1985
|
|
|
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(%) |
||
|
DI Aceh |
384 |
392 |
398 |
515 |
531 |
558 |
599 |
635 |
703 |
5.79 |
1.83 |
|
Sumatera Utara |
162 |
200 |
207 |
214 |
172 |
231 |
251 |
259 |
268 |
2.21 |
1.65 |
|
Sumatera Barat |
333 |
369 |
376 |
384 |
392 |
390 |
411 |
414 |
418 |
3.44 |
1.26 |
|
Riau |
49 |
99 |
106 |
109 |
110 |
115 |
121 |
129 |
139 |
1.14 |
2.84 |
|
Jambi |
41 |
88 |
110 |
104 |
113 |
123 |
133 |
143 |
149 |
1.23 |
3.63 |
|
Sumatera Selatan |
285 |
347 |
358 |
422 |
441 |
446 |
448 |
516 |
522 |
4.29 |
1.83 |
|
Bengkuku |
73 |
92 |
93 |
95 |
96 |
94 |
93 |
94 |
94 |
0.77 |
1.29 |
|
Lampung |
119 |
252 |
267 |
269 |
426 |
477 |
462 |
522 |
585 |
4.82 |
4.92 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Jawa Barat |
150 |
157 |
157 |
182 |
184 |
187 |
196 |
215 |
219 |
1.80 |
1.46 |
|
Jawa Tengah |
1083 |
1162 |
1191 |
1184 |
1193 |
1249 |
1253 |
1260 |
1267 |
10.43 |
1.17 |
|
DI Yogyakarta |
184 |
190 |
190 |
191 |
191 |
193 |
196 |
197 |
197 |
1.62 |
1.07 |
|
Jawa Timur |
2791 |
3005 |
3062 |
3157 |
3163 |
3328 |
3302 |
3339 |
3383 |
27.84 |
1.21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
424 |
456 |
436 |
472 |
484 |
500 |
514 |
528 |
544 |
4.47 |
1.28 |
|
Nusa Tenggara Barat |
300 |
368 |
346 |
409 |
413 |
423 |
433 |
450 |
477 |
3.93 |
1.59 |
|
Nusa Tenggara Timur |
585 |
659 |
676 |
749 |
767 |
786 |
785 |
717 |
717 |
5.90 |
1.23 |
|
Timor-Timur |
50 |
68 |
77 |
85 |
93 |
122 |
124 |
137 |
151 |
1.24 |
3.02 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kalimantan Barat |
87 |
108 |
117 |
132 |
142 |
148 |
150 |
154 |
169 |
1.39 |
1.94 |
|
Kalimantan Tengah |
46 |
47 |
50 |
51 |
47 |
48 |
48 |
48 |
49 |
0.40 |
1.07 |
|
Kalimantan Selatan |
75 |
120 |
130 |
129 |
134 |
148 |
159 |
167 |
170 |
1.40 |
2.27 |
|
Kalimantan Timur |
20 |
56 |
71 |
67 |
74 |
76 |
81 |
83 |
88 |
0.72 |
4.40 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Utara |
209 |
246 |
253 |
260 |
264 |
265 |
272 |
283 |
285 |
2.35 |
1.36 |
|
Sulawesi Tengah |
305 |
348 |
358 |
368 |
379 |
271 |
273 |
250 |
252 |
2.07 |
0.83 |
|
Sulawesi Selatan |
1176 |
1218 |
1226 |
1236 |
643 |
785 |
806 |
828 |
841 |
6.92 |
0.72 |
|
Sulawesi Tenggara |
106 |
244 |
285 |
290 |
233 |
249 |
265 |
277 |
285 |
2.35 |
2.69 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Maluku |
55 |
77 |
83 |
87 |
90 |
94 |
98 |
105 |
107 |
0.88 |
1.95 |
|
Irian Jaya |
22 |
40 |
46 |
51 |
55 |
57 |
63 |
65 |
70 |
0.57 |
3.18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
9111 |
10410 |
10667 |
11211 |
10929 |
11368 |
11534 |
11816 |
12149 |
100 |
1.33 |
Notes: (a) Preliminary figuresFigure 10. Beef cattle numbers in 1990 and 1997 in each of Indonesias provincesSource: Direktorat Jenderal Peternakan (1997), p89 for 1990 to 1997 data; Direktorat Jenderal Peternakan (1988), p3 for 1985 data.
Despite an increase in cattle numbers of around 27%, Indonesia managed to increase production of beef by just under 50% between 1985 and 1995 (Table 28). The increase in cattle numbers came about through natural increase and also through imports of live cattle. Indonesia has been importing cattle from Australia since the 1970s. The breeds are primarily Bos indicus and Bos taurus. The purebred Bos indicus have been imported for mating. Specialised beef producers supplying the Jakarta market also use a Fresian breed called the Grati.
The data in Table 27 on cattle numbers and the data in Table 28 on production when considered together indicate an improvement in productivity between 1985 and 1995. This is shown by the percentage increase in production being greater than the percentage increase in numbers. However, examination of the data for each of the provinces shows the change in cattle numbers was not always related to the change in production. For example, cattle numbers in Kalimantan Timur in 1995 were over four times their 1985 level, but production was only 50% higher. On the other hand, cattle numbers in Jawa Barat increased by about 31% and production increased by over double this - by 64%. The situation in Jawa Tengah was similar. Cattle numbers increased by about 16% and production by 39%. These differences could be due to any of a number of factors, including agronomic characteristics of the regions, managerial ability of the farmer, the quality of the animals or differences in the cattle cycle between the regions.
Table 28. Beef meat production 1985 to 1994 by province
|
Provinces
|
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997 |
1997/ 1985
|
|
|
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(%) |
||
|
DI Aceh |
4.8 |
5.73 |
6.13 |
5.62 |
5.53 |
5.91 |
4.77 |
5.22 |
5.23 |
1.40 |
1.09 |
|
Sumatera Utara |
3.73 |
3.37 |
3.48 |
4.57 |
4.37 |
6.19 |
7.58 |
9.60 |
9.93 |
2.67 |
2.66 |
|
Sumatera Barat |
5.8 |
6.23 |
6.52 |
7.77 |
8.73 |
9.6 |
9.39 |
9.43 |
9.54 |
2.56 |
1.65 |
|
Riau |
0.7 |
1.24 |
1.39 |
1.42 |
1.36 |
2.12 |
2.18 |
3.19 |
3.45 |
0.93 |
4.93 |
|
Jambi |
0.63 |
1.52 |
1.76 |
1.68 |
2.19 |
2.26 |
2.26 |
2.35 |
2.44 |
0.66 |
3.87 |
|
Sumatera Selatan |
6.1 |
7.69 |
8.19 |
8.03 |
11.45 |
10.78 |
10.61 |
11.35 |
11.87 |
3.19 |
1.95 |
|
Bengkuku |
0.32 |
0.48 |
0.57 |
0.72 |
0.73 |
0.76 |
0.91 |
1.16 |
1.17 |
0.31 |
3.65 |
|
Lampung |
2.42 |
4.22 |
4.22 |
5.39 |
3.86 |
3.71 |
3.95 |
4.36 |
4.93 |
1.32 |
2.04 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DKI Jakarta |
33.65 |
34.52 |
34.52 |
53.81 |
53.98 |
53.98 |
35.51 |
42.23 |
42.77 |
11.49 |
1.27 |
|
Jawa Barat |
29.43 |
35.81 |
35.24 |
35.93 |
68.57 |
43.18 |
46.90 |
56.07 |
67.47 |
18.13 |
2.29 |
|
Jawa Tengah |
26.06 |
28.44 |
29.06 |
30.66 |
33.74 |
40.94 |
36.17 |
39.75 |
43.69 |
11.74 |
1.68 |
|
DI Yogyakarta |
4.02 |
4.45 |
4.4 |
4.85 |
5.27 |
5.33 |
5.13 |
4.61 |
4.64 |
1.25 |
1.15 |
|
Jawa Timur |
66.97 |
71.28 |
78.94 |
81.46 |
85.27 |
94.91 |
89.42 |
95.61 |
102.02 |
27.41 |
1.52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
12.75 |
11.54 |
10.15 |
10.31 |
10.19 |
7.5 |
6.93 |
6.84 |
6.84 |
1.84 |
0.54 |
|
Nusa Tenggara Barat |
3.35 |
5.19 |
2.98 |
5.47 |
5.48 |
6.18 |
4.00 |
5.72 |
5.88 |
1.58 |
1.76 |
|
Nusa Tenggara Timur |
1.43 |
4.47 |
1.74 |
3.11 |
3.54 |
4.06 |
4.69 |
4.43 |
4.19 |
1.13 |
2.93 |
|
Timor-Timur |
0.49 |
0.71 |
0.8 |
0.81 |
0.91 |
0.73 |
0.92 |
1.02 |
1.12 |
0.30 |
2.28 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kalimantan Barat |
2.18 |
2.94 |
2.94 |
3.95 |
4.92 |
2.78 |
3.17 |
3.13 |
3.27 |
0.88 |
1.50 |
|
Kalimantan Tengah |
1.01 |
1.39 |
0.08 |
1.42 |
1.75 |
1.52 |
1.35 |
1.97 |
2.03 |
0.54 |
2.01 |
|
Kalimantan Selatan |
2.27 |
3.42 |
3.42 |
3.05 |
3.38 |
3.29 |
3.46 |
4.06 |
3.48 |
0.93 |
1.53 |
|
Kalimantan Timur |
4.4 |
5.02 |
4.86 |
5.17 |
5.67 |
6.38 |
6.60 |
6.76 |
6.88 |
1.85 |
1.56 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Utara |
1.65 |
1.36 |
1.36 |
4.37 |
5.55 |
5.36 |
5.39 |
5.42 |
5.53 |
1.49 |
3.35 |
|
Sulawesi Tengah |
2.13 |
2.92 |
3.04 |
3.24 |
3.46 |
3.51 |
3.91 |
3.95 |
4.01 |
1.08 |
1.88 |
|
Sulawesi Selatan |
8.51 |
9.87 |
9.91 |
10.36 |
10.37 |
9.73 |
9.99 |
10.25 |
10.52 |
2.83 |
1.24 |
|
Sulawesi Tenggara |
1.06 |
2.64 |
3.47 |
1 |
3.17 |
3.17 |
3.31 |
3.96 |
4.11 |
1.10 |
3.87 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Maluku |
0.84 |
1.7 |
1.96 |
1.78 |
1.79 |
1.63 |
1.65 |
2.19 |
2.21 |
0.59 |
2.63 |
|
Irian Jaya |
0.7 |
1.07 |
1.06 |
1.06 |
1.05 |
0.95 |
1.82 |
2.60 |
2.96 |
0.80 |
4.23 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
227.4 |
259.22 |
262.19 |
297.01 |
346.28 |
336.46 |
311.97 |
347.20 |
372.16 |
100.0 |
1.64 |
Notes: (a) Preliminary figuresBuffaloSource: Direktorat Jenderal Peternakan (1997), p. 104 for 1994 to 1997 data Direktorat Jenderal Peternakan (1996), p. 92 for 1990 to 1993 data; Direktorat Jenderal Peternakan (1988), p. 32 for 1985 data.
Bovine meat also comes from the indigenous cattle and swamp buffalo. Both of these are small, slow growing animals (Winrock International Institute for Agricultural Development 1986). The age of first calving is late in comparison to temperate animals and calving intervals range from 18 to 24 months.
There are three major breeds of cattle used for draft/beef. These are Ongole, Bali and Madura. The less well know breed- the Aceh - is found in the Aceh province. Swamp buffalo are also used for draft power and beef in lowland areas and the Central Sumatra uplands. The breeds of cattle are shown in Table 29. These data are for 1984 since more up-to-date data were unavailable.
Table 29. Breeds of cattle in Indonesia, 1984
|
Breed |
Number |
|
Ongole |
4400000 |
|
Bali |
1000000 |
|
Madura |
300000 |
|
Aceh, North Sumatra |
400000 |
|
Grati |
80000 |
Source: Winrock International Institute for Agricultural Development (1986).The number of households with buffalo fell by over 50% between 1963 and 1993. The falls were not uniform across Indonesia. On Java island, the number of households with buffalo in each of the provinces fell by between 79% (Jawa Tengah and DI Yogyakarta) and 65% (Jawa Timur). Going against this trend, in some other provinces, the number of households with buffalo increased. For example, in Riau on Sumatra, the number of households with buffalo in 1993 was 44% higher than in 1963 while in each of the four provinces on Kalimantan the number of households with buffalo showed increases of between 97% and 660%. For most of the households with buffalo, the main use of the buffalo would be as a draft animal. Table 30 shows how the number of households with buffalo changed between 1963 and 1993.
Table 30. Number of households with buffalo 1963, 1973, 1983 and 1993
|
Province |
1963 |
1973 |
1983 |
1993(a) |
|
DI Aceh |
55942 |
67755 |
45474 |
37000 |
|
Sumatera Utara |
32756 |
43348 |
31606 |
37000 |
|
Sumatera Barat |
31717 |
48848 |
23666 |
28000 |
|
Riau |
5563 |
6369 |
7051 |
8000 |
|
Jambi |
10260 |
13191 |
11741 |
12000 |
|
Sumatera Selatan |
39477 |
15351 |
10474 |
10000 |
|
Bengkuku |
0 |
11633 |
5879 |
7000 |
|
Lampung |
0 |
12526 |
8385 |
13000 |
|
|
|
|
|
|
|
DKI Jakarta |
3170 |
2330 |
410 |
0 |
|
Jawa Barat |
274613 |
248572 |
122991 |
92000 |
|
Jawa Tengah |
253904 |
173812 |
99353 |
54000 |
|
DI Yogyakarta |
14604 |
10854 |
5191 |
3000 |
|
Jawa Timur |
112391 |
79721 |
52838 |
39000 |
|
|
|
|
|
|
|
Bali |
4484 |
5276 |
1979 |
2000 |
|
Nusa Tenggara Barat |
40301 |
43478 |
39073 |
38000 |
|
Nusa Tenggara Timur |
42139 |
39810 |
27534 |
26000 |
|
Timor-Timur |
0 |
0 |
6134 |
10000 |
|
|
|
|
|
|
|
Kalimantan Barat |
362 |
164 |
238 |
1000 |
|
Kalimantan Tengah |
507 |
340 |
502 |
1000 |
|
Kalimantan Selatan |
1298 |
2015 |
2546 |
4000 |
|
Kalimantan Timur |
526 |
4330 |
1195 |
4000 |
|
|
|
|
|
|
|
Sulawesi Utara |
3863 |
360 |
199 |
0 |
|
Sulawesi Tengah |
0 |
2909 |
2294 |
2000 |
|
Sulawesi Selatan |
94978 |
113880 |
84311 |
57000 |
|
Sulawesi Tenggara |
0 |
2922 |
1919 |
1000 |
|
|
|
|
|
|
|
Maluku |
0 |
600 |
834 |
3000 |
|
Irian Jaya |
0 |
0 |
113 |
0 |
|
|
|
|
|
|
|
Indonesia |
1022855 |
950394 |
593930 |
489000 |
Notes: (a) preliminary figuresSource: Direktorat Jenderal Peternakan (1996), p. 52
Table 31. Buffalo population 1985 to 1997 by province
|
Provinces
|
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997(a) |
1997/ 1985
|
|
|
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(000) |
(%) |
||
|
DI Aceh |
434 |
362 |
367 |
383 |
393 |
409 |
421 |
430 |
454 |
14.01 |
1.05 |
|
Sumatera Utara |
180 |
207 |
212 |
223 |
229 |
237 |
248 |
256 |
265 |
8.19 |
1.47 |
|
Sumatera Barat |
167 |
194 |
201 |
206 |
209 |
196 |
205 |
216 |
228 |
7.03 |
1.36 |
|
Riau |
37 |
40 |
42 |
42 |
43 |
44 |
45 |
50 |
55 |
1.71 |
1.49 |
|
Jambi |
49 |
65 |
69 |
71 |
74 |
77 |
81 |
86 |
87 |
2.69 |
1.77 |
|
Sumatera Selatan |
122 |
134 |
138 |
137 |
140 |
136 |
128 |
150 |
152 |
4.68 |
1.24 |
|
Bengkuku |
79 |
94 |
95 |
96 |
97 |
91 |
86 |
87 |
88 |
2.72 |
1.11 |
|
Lampung |
38 |
33 |
34 |
35 |
44 |
45 |
48 |
51 |
54 |
1.65 |
1.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DKI Jakarta |
2 |
1 |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
0.02 |
0.25 |
|
Jawa Barat |
470 |
501 |
506 |
525 |
529 |
522 |
501 |
491 |
487 |
15.04 |
1.04 |
|
Jawa Tengah |
325 |
287 |
282 |
278 |
265 |
265 |
256 |
244 |
232 |
7.16 |
0.71 |
|
DI Yogyakarta |
14 |
15 |
14 |
11 |
11 |
10 |
10 |
9 |
9 |
0.28 |
0.64 |
|
Jawa Timur |
221 |
184 |
177 |
171 |
166 |
158 |
156 |
160 |
168 |
5.20 |
0.76 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
8 |
10 |
11 |
10 |
11 |
11 |
11 |
11 |
11 |
0.35 |
1.43 |
|
Nusa Tenggara Barat |
221 |
227 |
234 |
212 |
215 |
214 |
214 |
220 |
227 |
7.01 |
1.03 |
|
Nusa Tenggara Timur |
174 |
175 |
176 |
184 |
182 |
165 |
191 |
165 |
167 |
5.16 |
0.96 |
|
Timor-Timur |
35 |
45 |
48 |
50 |
53 |
70 |
65 |
69 |
74 |
2.28 |
2.11 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kalimantan Barat |
2 |
6 |
7 |
6 |
6 |
6 |
7 |
7 |
8 |
0.25 |
4.01 |
|
Kalimantan Tengah |
8 |
9 |
9 |
9 |
9 |
9 |
9 |
12 |
12 |
0.38 |
1.54 |
|
Kalimantan Selatan |
48 |
48 |
49 |
49 |
47 |
47 |
47 |
48 |
49 |
1.50 |
1.02 |
|
Kalimantan Timur |
15 |
18 |
24 |
21 |
21 |
22 |
23 |
23 |
24 |
0.74 |
1.60 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Utara |
3 |
5 |
5 |
5 |
5 |
1 |
0 |
0 |
0 |
0.01 |
0.06 |
|
Sulawesi Tengah |
32 |
38 |
38 |
40 |
42 |
14 |
14 |
10 |
10 |
0.30 |
0.31 |
|
Sulawesi Selatan |
529 |
530 |
535 |
540 |
231 |
321 |
336 |
341 |
342 |
10.57 |
0.65 |
|
Sulawesi Tenggara |
13 |
15 |
16 |
14 |
12 |
12 |
12 |
11 |
11 |
0.34 |
0.85 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Maluku |
20 |
21 |
21 |
21 |
21 |
21 |
22 |
22 |
23 |
0.71 |
1.15 |
|
Irian Jaya |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
0.03 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
3245 |
3335 |
3311 |
3342 |
3057 |
3104 |
3136 |
3171 |
3238 |
100.00 |
1.00 |
Notes: (a) Preliminary figuresSource: Direktorat Jenderal Peternakan (1997), p. 91 for 1995 to 1997 data; Direktorat Jenderal Peternakan (1996), p. 80 for 1990 to 1994 data; Direktorat Jenderal Peternakan (1988), p. 3 for 1985 data.
Table 32. Buffalo meat production 1985 to1994 by province
|
Province
|
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997(a) |
1997/ 1985
|
|
|
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(kt) |
(%) |
||
|
DI Aceh |
1.48 |
2.25 |
2.83 |
2.89 |
2.82 |
1.81 |
3.10 |
2.89 |
3.17 |
6.14 |
2.14 |
|
Sumatera Utara |
4.18 |
4.68 |
4.66 |
6.11 |
6.12 |
6.73 |
8.21 |
9.13 |
9.44 |
18.30 |
2.26 |
|
Sumatera Barat |
3.36 |
2.74 |
2.78 |
3.25 |
4.01 |
3.62 |
3.85 |
3.85 |
4.24 |
8.22 |
1.26 |
|
Riau |
1.92 |
1.87 |
1.92 |
0.82 |
2.23 |
2.11 |
2.13 |
2.29 |
2.42 |
4.69 |
1.26 |
|
Jambi |
1.18 |
1.24 |
1.25 |
1.52 |
1.67 |
1.56 |
1.79 |
1.73 |
1.81 |
3.50 |
1.53 |
|
Sumatera Selatan |
1.86 |
1.95 |
2.08 |
2.17 |
2.42 |
2.31 |
2.17 |
2.14 |
2.20 |
4.26 |
1.18 |
|
Bengkuku |
1.08 |
0.61 |
0.63 |
1.24 |
1.26 |
1.14 |
1.73 |
1.01 |
1.02 |
1.97 |
0.94 |
|
Lampung |
0.86 |
0.47 |
0.47 |
0.41 |
0.4 |
0.39 |
0.40 |
0.24 |
0.25 |
0.49 |
0.29 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DKI Jakarta |
4.36 |
3.16 |
3.16 |
3.63 |
4.54 |
4.54 |
1.17 |
1.57 |
1.60 |
3.10 |
0.37 |
|
Jawa Barat |
13.24 |
11.05 |
13.43 |
9.22 |
12 |
9.66 |
8.37 |
8.66 |
9.24 |
17.91 |
0.70 |
|
Jawa Tengah |
6.72 |
5.58 |
6.27 |
4.92 |
5.08 |
5.18 |
4.93 |
4.93 |
4.70 |
9.11 |
0.70 |
|
DI Yogyakarta |
0.13 |
0.07 |
0.05 |
0.06 |
0.05 |
0.06 |
0.05 |
0.05 |
0.05 |
0.09 |
0.35 |
|
Jawa Timur |
0.67 |
0.56 |
0.55 |
0.32 |
0.27 |
0.4 |
0.33 |
0.33 |
0.21 |
0.41 |
0.32 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
0.02 |
0.01 |
0.02 |
0.01 |
0.01 |
0.02 |
0.01 |
0.01 |
0.01 |
0.01 |
0.30 |
|
Nusa Tenggara Barat |
1.42 |
0.85 |
0.4 |
1.03 |
1.03 |
1.56 |
1.16 |
1.54 |
1.83 |
3.55 |
1.29 |
|
Nusa Tenggara Timur |
0.31 |
0.19 |
0.11 |
0.11 |
0.17 |
0.17 |
0.17 |
0.23 |
0.23 |
0.44 |
0.74 |
|
Timor-Timur |
0.24 |
0.32 |
0.33 |
0.35 |
0.38 |
0.33 |
0.36 |
0.36 |
0.36 |
0.70 |
1.51 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kalimantan Tengah |
0.01 |
0.04 |
0.06 |
0.03 |
0.05 |
0.05 |
0.06 |
0.07 |
0.05 |
0.10 |
5.30 |
|
Kalimantan Selatan |
0.5 |
0.57 |
0.57 |
0.57 |
0.47 |
0.37 |
0.53 |
0.55 |
0.66 |
1.28 |
1.32 |
|
Kalimantan Timur |
0.5 |
0.5 |
0.23 |
0.35 |
0.13 |
0.27 |
0.29 |
0.41 |
0.71 |
1.37 |
1.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Tengah |
0.01 |
0 |
0.1 |
0.1 |
0.1 |
0.26 |
0.02 |
0.02 |
0.02 |
0.04 |
2.30 |
|
Sulawesi Selatan |
4.4 |
5.46 |
5.58 |
5.75 |
5.79 |
5.44 |
6.48 |
6.48 |
7.07 |
13.71 |
1.61 |
|
Sulawesi Tenggara |
0.14 |
0.11 |
0.14 |
0.18 |
0.16 |
0.2 |
0.16 |
0.16 |
0.17 |
0.32 |
1.18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Maluku |
0.01 |
0 |
0 |
0.05 |
0.02 |
0.01 |
0.02 |
0.02 |
0.03 |
0.06 |
2.90 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
48.6 |
44.29 |
47.53 |
45 |
51.23 |
48.2 |
47.50 |
48.66 |
51.59 |
100.0 |
1.06 |
Notes: (a) Preliminary figuresThe dairy industrySource: Direktorat Jenderal Peternakan (1997), p. 105 for 1995 to 1997 data; Direktorat Jenderal Peternakan (1996), p. 93 for 1990 to 1994 data; Direktorat Jenderal Peternakan (1988), p. 32 for 1985 data
The dairy industry began in Indonesia in the nineteenth century at the instigation of the Dutch authorities. The industry, which was concentrated on Java, catered mainly for the Dutch expatriates who lived in Indonesia. After the Dutch were forced out of Indonesia in 1945, Indonesian farmers took over the industry. For the Indonesians, the main reason for keeping dairy cattle was the production of manure. Gradually this purpose changed to produce milk (INI ANSREDEF 1995).
Dairy cooperatives have been an important part of the industry since the industry is based upon smallholders organized into cooperatives. The first cooperative was established in Pengalengan, near Bandung in West Java in 1948. Later, cooperatives were established in Pujon (near Malang in East Java), in Pasuran (Grati in East Java), and in Boyali and Ungaran in Central Java. During the 1960s, many cooperatives went bankrupt, so that by 1978, only two cooperatives had managed to survive. These were Pengalengan[7] and SAE in Pujon (INI ANSREDEF 1995). The third Five Year Development Plan (1979 to 1983) was a key period for the industry. A dairy cooperative organization - known as BKKSI (the Indonesian Dairy Cooperative Board) was established in July 1978. This body lasted only one year, being replaced by the GKSI (Union of Dairy Cooperatives of Indonesia, or Gabungan Koperasi Susu Indonesia). This is a secondary cooperative, whose membership is made up of the Chairman of the primary (or farmer level) cooperatives (GKSI 1996). GKSI still plays an important part in the industry since it is involved in the setting of the mixing ratio, a policy measure that will be discussed later in this report.
Table 33 shows the distribution of dairy households by province. It is obvious that Java is where the industry is concentrated. In 1993 about 96% of the households with dairy cattle were on Java while 3.3% were on Sumatera. In 1991, the government began allocating imported dairy cattle to provinces with small numbers of milking cows in an effort to diversify the industry away from its Java base. The program seems to have had little success because the milk processing industry is so well established in Java (PT Corinthian Infopharma Corpora 1995).
Table 33. Number of dairy cattle household 1963, 1973, 1983 and 1993(a)
|
Provinces |
1963 |
1973 |
1983 |
1993(b) |
|
DI Aceh |
1399 |
151 |
0 |
0 |
|
Sumatera Utara |
4039 |
932 |
6600 |
1000 |
|
Sumatera Barat |
2099 |
588 |
476 |
0 |
|
Riau |
145 |
17 |
0 |
0 |
|
Jambi |
650 |
56 |
0 |
0 |
|
Sumatera Selatan |
3435 |
230 |
0 |
0 |
|
Bengkuku |
0 |
97 |
541 |
0 |
|
Lampung |
0 |
308 |
0 |
0 |
|
|
|
|
|
|
|
DKI Jakarta |
1390 |
1530 |
458 |
0 |
|
Jawa Barat |
5684 |
2893 |
11534 |
26000 |
|
Jawa Tengah |
16716 |
12294 |
21894 |
31000 |
|
DI Yogyakarta |
1905 |
846 |
1436 |
1000 |
|
Jawa Timur |
12391 |
10519 |
25748 |
39000 |
|
|
|
|
|
|
|
Bali |
583 |
131 |
335 |
0 |
|
Nusa Tenggara Barat |
383 |
208 |
0 |
0 |
|
Nusa Tenggara Timur |
3628 |
80 |
0 |
0 |
|
|
|
|
|
|
|
Kalimantan Barat |
672 |
82 |
327 |
0 |
|
Kalimantan Selatan |
327 |
0 |
0 |
0 |
|
|
|
|
|
|
|
Sulawesi Utara |
623 |
171 |
0 |
0 |
|
Sulawesi Selatan |
621 |
245 |
0 |
0 |
|
|
|
|
|
|
|
Irian Jaya |
0 |
0 |
247 |
0 |
|
|
|
|
|
|
|
Indonesia |
56600 |
31438 |
64663 |
98000 |
Notes: Notes: (a) Provinces that did not have dairy cattle in any of the years are excluded from the table (b) Preliminary figuresThe dairy industry development was most rapid in Repeleta III. The government noticed the widening gap between consumption and production during the 1970s when local production met only about 5% of sales. The government also saw the industry as a potential source of income to many poor rural communities and so it set developmental and production targets subsidised with government funding. It is apparent from Table 34 that almost all of the expansion in dairy cattle numbers between 1985 and 1997 occurred on Java. Dairy cattle numbers more than doubled in Jawa Barat (West Java) and in Jawa Tengah (Central Java).Source: Direktorat Jenderal Peternakan (1996), p. 51.
Table 34. Dairy cattle population 1985 to1995, by province(a)
|
Province |
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997(b) |
1997/ 1985
|
|
|
(no.) |
(no.) |
(no.) |
(no.) |
(no.) |
(no.) |
(no.) |
(no.) |
(no.) |
(%) |
||
|
DI Aceh |
0 |
0 |
0 |
354 |
46 |
46 |
151 |
153 |
181 |
0.05 |
nc |
|
Sumatera Utara |
6368 |
7233 |
7428 |
7625 |
7833 |
7920 |
7935 |
8362 |
8811 |
2.49 |
1.38 |
|
Sumatera Barat |
1968 |
2314 |
2393 |
2331 |
1821 |
992 |
997 |
934 |
944 |
0.27 |
0.48 |
|
Jambi |
18 |
32 |
32 |
32 |
0 |
40 |
23 |
23 |
23 |
0.01 |
1.28 |
|
Sumatera Selatan |
50 |
159 |
173 |
182 |
166 |
154 |
145 |
145 |
174 |
0.05 |
3.48 |
|
Bengkuku |
149 |
104 |
119 |
125 |
131 |
52 |
54 |
0 |
0 |
0.00 |
0.00 |
|
Lampung |
75 |
146 |
150 |
160 |
34 |
69 |
58 |
39 |
40 |
0.01 |
0.53 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DKI Jakarta |
5156 |
5811 |
5881 |
5537 |
5342 |
4796 |
4653 |
4312 |
4300 |
1.22 |
0.83 |
|
Jawa Barat |
49666 |
104580 |
107087 |
108218 |
113803 |
114681 |
118753 |
119744 |
121262 |
34.33 |
2.44 |
|
Jawa Tengah |
41251 |
75279 |
78844 |
81647 |
90993 |
94457 |
97035 |
97520 |
98007 |
27.75 |
2.38 |
|
DI Yogyakarta |
3470 |
3761 |
2876 |
2924 |
2924 |
2766 |
2791 |
2744 |
2900 |
0.82 |
0.84 |
|
Jawa Timur |
66278 |
93769 |
100524 |
102235 |
105657 |
107216 |
108299 |
113554 |
116064 |
32.86 |
1.75 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
131 |
119 |
90 |
87 |
89 |
86 |
75 |
78 |
78 |
0.02 |
0.60 |
|
Timor-Timur |
0 |
0 |
34 |
41 |
0 |
38 |
40 |
42 |
44 |
0.01 |
nc |
|
|
|
|
|
|
|
|
|
|
|
0.00 |
nc |
|
Kalimantan Barat |
785 |
152 |
157 |
179 |
188 |
198 |
51 |
54 |
70 |
0.02 |
0.09 |
|
Kalimantan Tengah |
24 |
0 |
2 |
0 |
3 |
0 |
3 |
3 |
3 |
0.00 |
0.13 |
|
Kalimantan Selatan |
0 |
55 |
84 |
74 |
69 |
82 |
92 |
98 |
103 |
0.03 |
nc |
|
Kalimantan Timur |
35 |
139 |
139 |
110 |
126 |
69 |
74 |
74 |
76 |
0.02 |
2.17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Utara |
0 |
116 |
138 |
126 |
126 |
60 |
21 |
21 |
24 |
0.01 |
nc |
|
Sulawesi Selatan |
0 |
0 |
0 |
78 |
0 |
78 |
30 |
32 |
32 |
0.01 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Maluku |
24 |
0 |
0 |
8 |
12 |
12 |
0 |
0 |
0 |
0.00 |
0.00 |
|
Irian Jaya |
121 |
109 |
139 |
153 |
157 |
92 |
54 |
57 |
63 |
0.02 |
0.52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
175638 |
293878 |
306290 |
312226 |
329520 |
334021 |
341334 |
347989 |
353199 |
100.0 |
2.01 |
Notes: (a) Provinces that did not have dairy cattle in any of the years are excluded from the table (b) Preliminary figuresTable 35 contains information on milk production. This more than doubled between 1985 and 1995 from 191100 t. to 432940 t. Almost all of Indonesias milk is produced on Java, with Jawa Barat (West Java) showing a four fold increase between 1985 and 1995 to 223300 t.Source: Direktorat Jenderal Peternakan (1997), p. 90 for 1995 to 1997 data; Direktorat Jenderal Peternakan (1996), p. 79 for 1990 to 1994; Direktorat Jenderal Peternakan (1988), p. 3 for 1985.
Table 35. Fresh milk production 1985 to 1997 by province(a)
|
Province
|
1985 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997(b) |
1997/ 1985
|
|
|
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(Kt) |
(%) |
||
|
DI Aceh |
0.00 |
0.00 |
0.00 |
0.42 |
0.05 |
0.05 |
0.15 |
0.18 |
0.18 |
0.04 |
nc |
|
Sumatera Utara |
6.40 |
8.51 |
8.74 |
8.97 |
9.21 |
4.60 |
5.34 |
5.86 |
6.18 |
1.38 |
0.22 |
|
Sumatera Barat |
2.00 |
2.72 |
2.81 |
2.74 |
2.14 |
1.00 |
1.01 |
0.94 |
0.95 |
0.21 |
0.11 |
|
Riau |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
nc |
|
Jambi |
0.00 |
0.04 |
0.04 |
0.04 |
0.00 |
0.01 |
0.00 |
0.01 |
0.01 |
0.00 |
nc |
|
Sumatera Selatan |
0.00 |
0.19 |
0.20 |
0.21 |
0.20 |
0.13 |
0.13 |
0.12 |
0.12 |
0.03 |
nc |
|
Bengkuku |
0.10 |
0.12 |
0.14 |
0.15 |
0.15 |
0.06 |
0.05 |
0.00 |
0.00 |
0.00 |
0.00 |
|
Lampung |
0.00 |
0.17 |
0.18 |
0.19 |
0.04 |
0.02 |
0.02 |
0.02 |
0.02 |
0.00 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DKI Jakarta |
5.40 |
6.83 |
6.92 |
6.51 |
6.28 |
7.70 |
6.25 |
5.87 |
5.87 |
1.31 |
0.24 |
|
Jawa Barat |
55.50 |
122.99 |
125.93 |
127.26 |
133.83 |
215.64 |
223.30 |
225.17 |
226.55 |
50.74 |
0.91 |
|
Jawa Tengah |
43.30 |
88.53 |
92.72 |
96.02 |
107.01 |
64.01 |
63.68 |
65.13 |
66.62 |
14.92 |
0.34 |
|
DI Yogyakarta |
3.50 |
4.42 |
3.38 |
3.44 |
3.44 |
3.59 |
3.43 |
3.39 |
3.58 |
0.80 |
0.23 |
|
Jawa Timur |
74.70 |
110.27 |
118.22 |
120.23 |
124.25 |
129.54 |
129.63 |
134.04 |
135.92 |
30.44 |
0.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Bali |
0.10 |
0.14 |
0.11 |
0.10 |
0.10 |
0.12 |
0.11 |
0.09 |
0.09 |
0.02 |
0.21 |
|
Timor-Timur |
0.00 |
0.00 |
0.05 |
0.05 |
0.00 |
0.05 |
0.04 |
0.04 |
0.04 |
0.01 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kalimantan Barat |
0.80 |
0.18 |
0.18 |
0.21 |
0.22 |
0.02 |
0.06 |
0.06 |
0.08 |
0.02 |
0.02 |
|
Kalimantan Selatan |
0.00 |
0.06 |
0.10 |
0.09 |
0.08 |
0.08 |
0.12 |
0.09 |
0.09 |
0.02 |
nc |
|
Kalimantan Timur |
0.00 |
0.16 |
0.16 |
0.13 |
0.15 |
0.07 |
0.08 |
0.09 |
0.09 |
0.02 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sulawesi Utara |
0.00 |
0.14 |
0.16 |
0.15 |
0.15 |
0.04 |
0.01 |
0.01 |
0.01 |
0.00 |
nc |
|
Sulawesi Selatan |
0.00 |
0.00 |
0.00 |
0.09 |
0.00 |
0.00 |
0.04 |
0.05 |
0.06 |
0.01 |
nc |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Irian Jaya |
0.10 |
0.13 |
0.16 |
0.17 |
0.18 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Indonesia |
191.9 |
345.60 |
360.20 |
367.18 |
387.52 |
426.73 |
433.44 |
441.16 |
446.48 |
100.0 |
0.52 |
Notes: Notes: (a) Provinces that did produce milk in any of the years are excluded from the table (b) Preliminary figuresDairy farms in Indonesia are small - on average they have between three and four dairy cattle per farm. According to industry sources, in 1994, there were only a dozen or so farms with over 100 milking cows, and only about 330 with between 10 and 100 cows. There are a number of reasons for the small size of dairy farms. First, land transfer laws and the cooperative structure make consolidation of small tracts of land into larger holdings very difficult. Second, the agricultural credit schemes that have been used in the industry are generally intended to assist smallholders to purchase a very small number of cattle. They are not designed to help larger farmers. Third, small farmers have limited resources and are basically subsistence farmers. Fourth, government policy has been geared towards the development of cash crops and before that food self-sufficiency. Dairy cattle were seen as only a supplementary source of income. Finally, few small farmers would consume the milk produced on the farm themselves. They would be more likely to use it to feed calves.Source: Direktorat Jenderal Peternakan (1997), p. 119 for 1995 to 1997 data; Direktorat Jenderal Peternakan (1996), p. 106 for 1990 to 1994 data; Direktorat Jenderal Peternakan (1988), p. 40 for 1985 data.
Production per cow is not high, averaging about 1100 l. per year. Riethmuller and Smith (1995) found from a survey of Javanese farmers that some cows produce as little as 500 l. to 600 l per year. Farmers feed their cattle little concentrate and the grasses that are fed are sometimes of low nutritional content. The milk is often of poor quality with a high bacterial content. Mastitis is frequently a problem because of poor milking practices. Farmers deliver milk to collection points located perhaps 1 km from the farm. The volume of the milk is measured; its specific gravity is tested to check it hasnt been watered down; and the employee of the cooperative collecting the milk carries out a taste test. The price that each farmer receives is the average for the cooperative, providing farmers with little or no incentive to improve milk quality. Prices between cooperatives can vary, depending on the quality of the milk the cooperative delivers to the processing plant.
One of the initial functions of the GKSI was to arrange imports of dairy cattle.[8] Between 1979 and 1983, just over 52000 dairy cattle were imported from Australia and New Zealand. By 1993, about 85000 dairy cattle had been imported. These cattle were distributed to farmer members of the primary multi- enterprise village cooperatives and KUD. The KUD or Koperasi Peternak Serap are village based dairy cooperatives that collect milk and the sell it to the processors. Most of the imported cattle were assigned to eight provinces.[9] Besides importing cattle, the GKSI established four milk treatment plants and two feed mills.
Part of the rationale for the dairy industry is that it provides an opportunity for small farmers, many of whom do not own land, to accumulate assets. Doran et al. (1979) argue that such an approach is an accessible and reliable vehicle for such farmers to accumulate wealth. However, the ability of smallholders to raise cattle will be greatly influenced by the availability of labour, particularly family labour. As the opportunity cost of this family labour increases, the economic profit of cattle may decline or disappear. The increased availability of schooling reduces the amount of child labour. Adult labour may not be substitutable for child labour since in some parts of Indonesia, Kristanto (1982) points out that tending animals is considered to be an inferior occupation for adult males.[10] This places an upper limit on the number of cattle that can be raised. A related problem with the use of children is that the extension programs are directed mainly at males. Hence children may not be able to recognize disease or other production related problems.
As is also the case with beef cattle and buffalo, it is common practice for dairy cattle to be tethered by the side of roads. In such cases, feed is cut and carried to them. Alternately, they may be herded to waste areas where they graze on crop residues. As mentioned already, feed supplements are rarely given in sufficient quantity in the view of Kristanto (1982) and Smith and Riethmuller (1995). During the nonproductive period, Kristanto (1982) believes it does not pay the farmer to give the animal supplementary feed. His view is that any increase in value may not offset the time the farmer has to allocate to gathering additional feed for the animal.
The dairy cattle population is made up almost exclusively of pure bred Fresian Holsteins. This dates back to the pre-independence days. Considering the large body size (over 500 kg) and the breeds intolerance of heat and humidity, the dominance of Fresian Holsteins may be a source of inefficiency for the industry. On the positive side, a beef fattening industry has developed among small holders using the Fresian Holstein bull calves produced from dairy cows. These cattle have shown a hardiness and rapid rate of growth under typical small holder confinement feeding systems. They produce a lean carcass and high yield that Javanese butchers are said to prefer. Other breeds such as Red Danish, Illawara Shorthorn and Australian Fresian Sahiwal have also been imported at different times, but apparently with limited success (INI ANSREDEF 1995).
The Indonesian government has been running an artificial insemination (AI) program based mainly upon Fresian Holstein bulls. Semen is produced for the Director General of Livestock Services, or for the KUD to which the farmer belongs. In the past a large quantity of Fresian Holstein semen was imported from Australia, New Zealand, Japan and the USA. The Indonesian government, with technical assistance from the government of New Zealand, has established two bull studs: at Lembang in Central Java and at Singosari in East Java. Lembang has the semen from the Fresian Holstein bulls while Singosari has the semen from Bali, Ongole and Brahman cattle. Besides the use of AI, the government has continued to import cattle (mentioned earlier) and to assist the industry through credit programs and through improving management. Information on the attributes of the bull providing semen is not available. This means it is impossible for farmers to improve specific attributes of their cattle through AI.
The small dairy herd in Java leaves little room for selection on the female side. All heifers must be kept as replacements. Winrock International Institute for Agricultural Development (1986) reported that no studies of replacement rates had been done at the time of their report. Culling is done for loss of fertility or mastitis rather than loss of production. There is no systematic herd recording scheme in place.
Winrock International Institute for Agricultural Development reported that the genetic quality of the bulls used to produce the semen at Lembang is unknown and ten years later this still seemed to be the case. As the Winrock team noted, there would seem to be considerable potential to improve production on the male side. It is assumed by many in the industry that imported Fresian Holstein bulls will have a positive effect on the industry because they are coming from countries where milk yields are higher. This may not be the case given the heritability of milk production - 25%.
Calf management practices are similar to other countries. Calves are navel dipped with iodine at birth and given colostrum by suckling for several days. Milk feeding is generally for three months and averages two litres per day. Calves receive cut grass and a supplement of rice bran or concentrate. Bull calves are sold at birth or raised to weaning. Sometimes the dairy farmer will share fatten the calf through an arrangement with other farmers. This involves profit sharing and cost sharing.
The Busep or mixing ratios is a policy measure that is used in the industry to encourage the local industry.[11] Under this measure, domestic dairy processors are permitted to import material inputs (such as skimmed milk powder) only after they have absorbed all domestically produced milk. The ratio in the second half of 1997 was 1:1.7 (Table 36) which means that for every 1 l. of domestic production that is absorbed, processors are permitted to import 1.7 l. of milk (or milk equivalent). When first used in 1977, the ratio was 1:25, indicating that the local content was 4%. According to INI ANSREDEF (1995), Indonesia was planning to continue with the mixing arrangements in the short term, replacing it by a tariff in 2003 as part of Indonesias commitment to the WTO.[12] Only a limited number of firms (10 in 1995) are permitted to import milk but firms not permitted to import are permitted to buy BUSEP from firms that are allowed to import.[13] Information on the price at which BUSEP have been traded is not made public. Riethmuller and Smith (1994) and then Riethmuller et al. (1999) estimated the welfare losses from the policy to be of the order (at most) of A$25 million to $30 million per year. As a result of the IMF intervention in the economy, the BUSEP and other local content schemes were abolished on 1 February 1998.
Table 36. Mixing ratio figures 1982-1997
|
Year
|
Semester
|
Mixing ratio |
|
|
Domestic milk |
Imported |
||
|
1982 |
1 |
1 |
8 |
|
1982 |
2 |
1 |
7 |
|
1983 |
1 |
1 |
6 |
|
1983 |
2 |
1 |
5 |
|
1984 |
1 |
1 |
3.5 |
|
1984 |
2 |
1 |
3.5 |
|
1985 |
1 |
1 |
2 |
|
1985 |
2 |
1 |
2 |
|
1986 |
1 |
1 |
3.5 |
|
1986 |
2 |
1 |
3.5 |
|
1987 |
1 |
1 |
2 |
|
1987 |
2 |
1 |
2 |
|
1988 |
1 |
1 |
1.7 |
|
1988 |
2 |
1 |
0.7 |
|
1989 |
1 |
1 |
0.7 |
|
1989 |
2 |
1 |
0.7 |
|
1990 |
1 |
1 |
0.53 |
|
1990 |
2 |
1 |
0.75 |
|
1991 |
1 |
1 |
1 |
|
1991 |
2 |
1 |
2 |
|
1992 |
1 |
1 |
2 |
|
1992 |
2 |
1 |
2 |
|
1993 |
1 |
1 |
1.25 |
|
1993 |
2 |
1 |
1.6 |
|
1994 |
1 |
1 |
1.6 |
|
1994 |
2 |
|
2 |
|
1995 |
1 |
1 |
2.125 |
|
1995 |
2 |
1 |
2.9 |
|
1996 |
1 |
1 |
2.4 |
|
1997 |
1 |
1 |
1.7 |
Notes: The ratio is decided every six months in the meeting of the Dairy Coordinating TeamDairy consumption in Indonesia is not high compared with western countries. The most popular product is sweetened condensed milk. This is consumed dissolved in boiled water. Fresh milk is expensive and is only consumed by the wealthy or expatriates since refrigeration is not common in Indonesia. Powdered milk ids consumed mainly by children. Later in this paper information on elasticities will be presented and dairy products will be shown to be income elastic. This means that during the next few years when Indonesias economic growth is likely to be low, the demand for milk and dairy products is not likely to show much growth.