Materials and Methods Results and Discussions

148 Table 2. Quality of natural grasses and plant residues in KUNAK and KPSBU Type of forage Parameters DM Ash Fat CP CF Ca P VFA NH 3 DMD OMD TDN ME NEL DM mM MJkg DM KUNAK Natural Grasses 24.25 8.49 2.30 5.49 26.19 0.05 0.12 96.21 3.96 37.30 36.69 69.93 6.24 3.39 Rice straw 18.52 17.89 1.33 6.72 26.27 0.04 0.10 141.75 6.95 34.08 34.34 44.18 5.93 3.17 Cabbage plant residue 6.00 11.40 1.56 19.34 12.73 0.24 0.16 135.89 15.36 83.38 84.91 75.79 10.04 6.10 Corn stover 20.18 3.33 0.75 4.63 26.33 0.05 0.15 75.27 5.75 47.25 49.63 47.86 6.93 3.91 KPSBU Sasawuhan Daman Cibogo 15.02 15.36 3.63 15.58 29.49 0.10 0.37 54.40 16.99 34.33 29.99 51.67 7.62 7.62 LampuyangPanicum repens 23.32 6.60 2.09 12.72 27.02 1.35 0.09 133.65 6.77 46.21 45.32 64.81 7.84 7.20 KakawatanCynodon dactylon Pers. 28.05 10.77 2.01 14.05 30.02 0.09 0.22 92.26 8.92 39.14 94.40 59.08 6.88 7.90 LametaLeersia hexandria 21.94 18.03 5.36 16.57 27.96 0.09 0.17 98.85 8.73 35.47 33.43 44.96 8.29 8.29 MalelaBrachiaria mutica 22.09 12.44 1.79 11.92 26.88 0.06 0.33 130.90 14.41 58.23 56.39 61.57 8.03 8.03 Rumput TekiCyperus rotundus .L 20.00 9.52 1.56 9.21 29.96 0.13 0.26 55.50 12.81 31.18 27.46 65.43 6.43 6.43 LamsaniTricholaena rosea 13.16 11.26 2.05 14.67 29.43 0.13 0.27 88.33 13.34 43.11 41.10 59.24 7.18 7.18 Rice straw 34.41 16.49 1.65 8.97 29.38 0.07 0.12 44.06 13.12 27.54 28.43 50.51 5.01 3.42 Cabbage plant residue 5.92 12.30 1.92 28.17 11.67 0.09 0.16 135.89 15.36 83.38 84.91 61.58 10.04 6.10 Corn stover 22.41 15.07 2.34 13.29 22.19 0.25 0.25 131.32 11.72 45.53 44.86 57.57 5.72 5.65 Banana leaves 23.30 13.16 5.59 14.05 18.87 0.57 0.18 Blenung LeavesErythrina variegate 17.15 9.10 2.01 24.12 32.46 0.24 0.29 164.91 11.98 40.13 43.30 55.57 6.77 6.77 149 Table 3. Proportion and contribution of natural grass and plant residues in cows daily ration Parameters Contribution to total forage Contribution to total ration KUNAK KPSBU KUNAK KPSBU drought rainy drought rainy drought rainy drought rainy Natural grasses DM 2.77 5.72 28.11 15.59 1.87 3.6 15.77 11.5 CP 3.17 5.03 26.28 22.23 1.59 1.92 15.88 13.58 CF 2.93 5.67 27.4 19.41 2.14 3.85 20.85 18.84 TDN 3.21 1.52 26.68 19.01 2.4 1.43 13.96 10.33 Plant residues DM 38.54 48.91 5.29 14.14 24.91 25.52 3.73 8.2 CP 18.71 38.75 5.17 7.76 10.72 18.92 3.91 4.7 CF 39.01 47.05 5.12 15.6 27.71 29.23 4.17 11.54 TDN 28.25 43.04 5.26 11.63 19.52 22.9 3.48 5.94 Natural grass + Plant residues DM 41.31 54.63 33.4 29.73 33.4 26.78 29.12 19.5 CP 21.88 43.78 31.45 29.99 31.45 12.31 20.84 19.79 CF 41.94 52.72 32.52 35.01 32.52 29.85 33.08 25.02 TDN 31.46 44.56 31.94 30.64 31.94 21.92 24.33 17.44 In total, non-cultivated forages were contributed more than 50 to the total forages’ needed in KUNAK and up to 34 in KPSBU. The forage played higher role during rainy season in KUNAK but drought season in KPSBU which showed that at higher number of animal kept and centralized area of dairy farming like in KUNAK, forage insufficiency were more significant in both seasons than in traditional smallholders dairy farmer which increase their difficulties in getting forage if the drought seasons come.

4. References

[1] [AOAC] Associaton of Official Analitycal Chemist. 2003. Official Method of Analysis of the Association of Official Analytical of Chemist . Virginia US: Association of Official Analytical Chemist Pr. [2] W. Close and K.H. Menke. 1λ86. “Selected Topics in Animal Nutrition”. DSE, Stuttgart. [3] Dairy National Survey 2012. Dairy performance measurement as based for dairy cattle development planning in Indonesia. Collaboration between Directorate General for Livestock Service and Animal Health, Indonesian Ministry of Agriculture with Faculty of Animal Science Bogor Agricultural University. [4] General Laboratory Procedure. 1966. Report of Dairy Science. Madison USA: University of Wisconsin. 150 [5] C. Naumann and R. Bassler. 1997. VDLUFA-Methodenbuch Band III, Die chemische Untersuchung von Futtermitteln. 3rd ed. VDLUFA- Verlag, Darmstadt, Germany. [6] L.L. Reitz, W.H. Smith and M.P. Plumlee. 1987. Animal Science Department. West Lafayette: Purdue Univ Pr. [7] P.J. Riethmuller, J. Chai, D. Smith, B. Hutabarat, B. Sayaka and Y. Yusdja. 1999. The mixing ratio in the Indonesian dairy industry. Agricultural Economics 201 : 51 – 56 [8] H.H. Taussky and E. Shorr. 1953. A micro colorimetric method for the determination of inorganic phosphorus. J Biol Chem 202 :675- 685. [9] J.M.A. Tilley and R.A.Terry. 1963. A two stage technique for the in vitro digestion of forage crop. J of British Grassland. 18:104-111. [10] N.C. Brady and R.R. Weil. 1996. The Nature and Properties of Soils. 11 th ed. Upper Saddle River, N.J. Prentice Hall. [11] F.A. Bazzaz. 1979. The physiological ecology of plant succession. Ann. Rev. Ecol. Syst. 10:351-371 151 Effect of seed density and nutrient source on production and quality of green house fodder as dairy cattle feed Idat G. Permana 1, , Despal 1 , Dara Melisa 1 1 Department of Animal Nutrition and Feed Technology Faculty of Animal Science, Bogor Agricultural University, Bogor, 16680, Indonesia Corresponding author: permanaipb.ac.id Abstract This study examined the effect of seed density and biogas bioslurry on production and quality of green house fodder. Corn grain was grown for 9 days in greenhouse under hydroponic system. The density of corn seed were D1 350 gtray or 36 g100 cm 2 , D2 450 gtray or 46 g100 cm 2 and D3 500 gtray or 51 g100 cm 2 and the tray size was 28 x 35 cm. The nutrient solution were N1 100 commercial nutrient solution, N2 75 commercial nutrient solution: 25 biogas bioslurry and N3 50 commercial nutrient solution: 50 biogas bioslurry. This experiment used a factorial design 3x3x3 and data analyzed using ANOVA and Duncan’s Multiple Range Test. The parameters studied were fresh and dry matter DM corn fodder production, in vitro dry matter digestibility IVDMD and in vitro organic matter digestibility IVOMD. Fresh fodder production was significantly p0.01 influenced by increasing of the seed density. The seed density of D3 and D4 produced significantly p0.05 higer than D1, the fresh fodder production of D1, D2 and D3 were 715, 855 and 933 gtray respectively. The use of 25 bioslurry N2 as substitute the commercial nutrient solution was no significant effect on production compared with commercial nutrient solution. However, the use of 50 of bioslurry N3 decreased the fresh fodder production. The seed density and nutrient solution were no significant effecton DM corn fodder production, however, had significantlyeffect p0.05 on IVDMD and IVOMD of corn fodder. The highest IVDMD and IVOMD were observed in N2 84.8 and 85.3. Base on the results, it can be concluded that the application of 25 bioslurry as nutrient source and medium seed density 46 g100 cm 2 will improve fresh corn fodder production and digestibility. Keywords bio-slurry, corn, dairy, density, hydroponics

1. Introduction

Increasing population of Indonesian resulted massive agricultural land conversion which leads to decreasing land availability for fodder productions that are needed to maintain ruminant healthy life [1]. Land intensity with vertical farming such as hydroponic system could be used as