Assessment of Indigenous N, P and K Supply for Rice Site Specific Nutrient Management in Buru Regency

Abstract

Rate of fertilizer that should be applied to rice soil based on Site Specific Nutrient Management (SSNM) depends on indigenous nutrient supply, its recovery efficiency, and the amount of nutrients requirement to achieve the yield target. Research on nutrient omission plot was conducted in farmers irrigated land on Waeapo plain, Buru Island. In this area, N, P, and K were the main limiting factors of rice growth and yield. To overcome the constraint, this assessment was conducted to determine the indigenous supply of N, P and K and optimal target of rice productivity. Results of this assessment showed that the average of rice optimum productivity (Mg grain water content/w.c. 14% ha-1) in Waeapo plain was 6.55 Mg DGM (Dry Grain Milled) ha-1, with range from 5.6 to 7.3 Mg DGM ha-1 depended on the indigenous supply of N, P and K. The average value of the indigenous N, P and K supplies in Waeapo plain Buru was 65.59 kg N ha-1, 13.70 kg P ha-1 and 78.65 kg K ha-1, respectively while average productivity of rice on that indigenous N, P and K supplies was 5.05, 5.96 and 6.05Mg DGM ha-1, respectively. The value of indigenous nutrient supply of this nutrient can be used as a basis of fertilizer recommendation with the SSNM concept. Keywords: Indigenous nutrient supply; nitrogen; phosphorus; potassium; Site Specific Nutrient Management [How to Cite: Andriko NS and MP Sirappa. 2014. Assessment of Indigenous N, P and K Supply for Rice Site Specific Nutrient Management in Buru Regency. J Trop Soils 19: 151-159. Doi: 10.5400/jts.2014.19.3.151]

The Effects of Using Liquid Organic NPK Fertilizer for Rice Plant Growth and Production (Oriza sativa L.)

“…Empty grain was determined by the number of tillers that grew before reaching the primordial phase. K deficiency can cause a high amount of empty grain and incomplete grain filling, and the plant growth is closely related to the balance of required nutrients (Susanto & Sirappa, 2015). Weight of 1000 grain seeds.…”

Characteristics and Validation of a Recommended Fertilization Approach for Lychee Based on Yield Response and Agronomic Efficiency

“…It includes not only nutrients from the soil itself and nutrients mineralized by organic matter, but also residual nutrients from last season, from the environment, from biological and non-biological fixation, and deposition. The indigenous nutrient supply has become a primary consideration in fertilizer recommendations (Susanto and Sirappa, 2014). Previous studies found that N uptake was the most useful indicator of indigenous nutrient supply because it is easy to measure, is closely related to grain yield, and can provide information about productivity information and nutrient-use efficiency (Cassman et al, 1996b).…”

Convolutional Neural Network untuk Metode Klasifikasi Multi-Label pada Motif Batik

“…CNN merupakan salah satu model yang populer dan akurat untuk diimplementasikan dalam klasifikasi citra. Beberapa penelitian sebelumnya telah banyak mengimplementasikan CNN untuk melakukan klasifikasi citra, seperti klasifikasi citra makanan tradisional [15], klasifikasi citra tumbuhan [16,17], klasifikasi citra hewan [14,18], klasifikasi citra aksara Jawa [19,20], serta pengenalan objek dan karakter pada plat nomor kendaraan [21][22][23][24] dengan performa yang sangat baik.…”