Penelitian bertujuan mengetahui pengaruh kompos jerami padi dan jenis mulsa pada pertumbuhan dan hasil melon. Penelitian dilakukan di Kabupaten Blitar pada bulan Agustus hingga November 2016. Penelitian menggunakan Rancangan Acak Kelompok (RAK) pola faktorial dengan3 ulangan. Faktor pertama dosis kompos jerami terdiri dari tiga aras, k0: Tanpa kompos jerami, k1: kompos jerami 10 ton/ha; k2: kompos jerami 20 ton / ha. Faktor II: jenis mulsa, terdiri dari tiga aras, m0: Tanpa mulsa; m1: Mulsa jerami; m2: mulsa plastik hitam silver. Pengamatan meliputi: panjang tanaman (cm), jumlah daun (daun), bobot segar dan bobot kering brangkasan (g), bobot buah (kg), diameter buah (cm) dan tebal buah (mm). Data dianalisis menggunakan ANOVA dilanjut dengan uji Duncan kesalahan 5%. Hasil penelitian menunjukkan bahwa terdapat interaksi nyata perlakuan kompos jerami padi (k) dan jenis mulsa (m) terhadap bobot kering tanaman dan bobot segar tanaman. Hasil tertinggi adalah kombinasi perlakuan kompos jerami 20 ton/ha dan mulsa plastik hitam perak (k2m2) dan mampu meningkatkan bobot kering tanaman hingga 26,87% dibandingkan perlakuan tanpa kompos jerami dan tanpa mulsa/kontrol. Dosis kompos jerami padi 20 ton/ha dapat meningkatkan pertumbuhan tanaman dan hasil melon lebih baik daripada perlakuan tanpa kompos jerami. Peningkatan hasil berat melon akibat kompos jerami padi adalah 21,59%. Mulsa plastik hitam dan perak dapat meningkatkan hasil melon 15,56% lebih tinggi daripada tanpa mulsa dan meningkat 6,077% lebih tinggi dari mulsa jerami padi.
Watermelon cultivation has problems of seed germination. Seeds of watermelon that immediately sowing will slow in germinating, not even germinate at all. This is caused by the dormancy period of seeds, which is wrapped in seed institutions by the skin layer. Currently there has been considerable effort to improve seed viability, one using scarification techniques and soaking treatment of growth regulators. Based on the description above, the research is conducted to find out the influence of seed cutting and the effect of the old Atonic immersion on seed viability and growth of watermelon seed (Citrullus vulgaris, Schard). The method used in this research is Randomized Block Design (RAK). The first factor was no breaking (P1) and with the breaking of the seed shell (P2), the second factor was 4 long Atonic immersion (J1 = 0 min, J2 = 45 min, J3 = 90 min, and J4 = 135 min) with 3 repetitions. The Atonic concentration used is 1 ml / l of water. So there are 8 treatment combinations and 24 experimental units. Based on the results of the research, the following conclusions can be obtained: 1) there is the best combination between watermelon seedlings and duration of immersion of Auksin on viability and growth of non-seedled watermelon plants (Citrullus vulgaris), 2) Scarification combination and immersion time Auksin 45 minutes (P2J2) watermelon non seeds showed a very significant effect on seed viability and other observation variables up to 35 hst. 3) combination of scarification and duration of immersion of 45 to 90 minutes with 1 ml of perliter concentration potentially increase the viability and growth of seed seedling watermelon.
Research about influence of goat manure and NPK fertilizer on the growth and yield of green eggplant (Solanum mengolena L.) has been conducted in field village farmer-owned Semen Gandusari District of Blitar which took place in March-April 2016. The aim of this study was to know the interaction for among goat manure and NPK fertilizer on the growth and yield of green eggplant as well as the effect of each factor. This study uses Randomaized Complete Block Design (RCBD) factorial consisting of 16 treatment and each 3 replicates ie: P0M0, P0M1, P0M2, P0M3, P1M0, P1M1, P1M2, P1M3, P2M0, P2M1, P2M2, P2M3, P3M0, P3M1 , P3M2, P3M3. The data taking were plant height, leaf number, fruit length, fruit diameter and weight of fruit per plant. The data were analyzed to F test as followed by a 5% test Honestly Significant Difference (HSD) error level of 5%. The experimental results very significant effect on plant height, leaf number, fruit length and weight of fruits per plant and the effect is not noticeable to the diameter of fruit plants green eggplant. The combined use goat manure 750 g / plant and NPK fertilizer 60 g / plant (P2M3) is proper fertilization to improve the growth and best yield of green eggplant with the highest total weight of the fruit crop that yields 1576.6 grams
This research aims 1) To determine the effect of interaction of different plant spacing and the provision of mulch to growth and yield of tomato plants. 2) To know the different spacing affect the growth and yield of tomato plants. 3) To know the use of mulch type effect on growth and yield of tomato plants. This research was conducted by using Randomized Block Design in Factorial (RAK) with 2 factors, first factor is plant spacing (J) consisting of 3 levels ie 40x30 cm (J1), 40x50 cm (J2), 40x70 cm (J3) . The second factor is mulch (M) consisting of 3 levels ie: without mulch (M0 / control), straw mulch (M1), plastic mulch (M2). The variables observed were plant height, number of branches, number of bunches, number of fruit, and fruit weight. Data were analyzed by using variance analysis (Anova), 5% level. The results showed that: There was no interaction between plant spacing and mulch on growth and yield of tomato plants. Treatment spacing 40x50 (J2) effect on the number of bunches of 35 HST, the weight of the first harvest fruit and total fruit weight. The use of straw mulch type (M1) has an effect on plant height, number of branches, number of 35 HST bunches, and total fruit weight.
This study aims to find out the results of cassava tuber crop UJ5 variety at different harvest ages. Research direction is that cassava varieties have been planted throughout Indonesia as the best producer of cassava varieties. High levels of starch and high HCN content makes this variety was selected by the factory - tapioca factory in Indonesia. Research design used randomized block design with 7 treatments of harvesting (UP) were repeated 3 times. UP6 (harvesting 6 MAP), UP7 (harvesting 7 MAP), UP8 (harvesting 8 MAP), UP9 (harvesting 9 MAP), UP10 (harvesting 10 MAP), UP11 (harvesting 11 MAP), UP12 ( harvesting 12 MAP). The research variables are the fresh weight of tuber, tuber starch content (%), the weight of biomass, harvest index, number of tubers per plant. The results showed that the best harvesting time is UP9 the results did not differ with UP10, UP11 and UP12
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