Interactions of Biochar Briquette with Ammonium Sulfate Fertilizer for Controlled Nitrogen Loss in Soybean Intercopping with Melaleuca cajuputi

Alam, Taufan; Suryanto, Priyono; Kastono, Dody; Putra, Eka Tarwaca Susila; Handayani, Suci; Widyawan, Muhammad Habib; Muttaqin, Andi; Kurniasih, Budiastuti

doi:10.18805/lr-586

Cited by 7 publications

(13 citation statements)

References 21 publications

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“…With more productive tillers and larger grains, the grain weight per plant increases [23]. As stated earlier, panicle formation is strongly influenced by nutrient availability, of which nitrogen is crucial [24]. The ANOVA results reveal that the grain weight per plant in the EAE treatment (T2) was higher (78.66 grams) than that of the control (T1) with 57.40 grams (Table 4).…”

Section: Resultsmentioning

confidence: 59%

Improving the Climate Resilience of Rice Farming in Flood-Prone Areas through Azolla Biofertilizer and Saline-Tolerant Varieties

Simarmata

Prayoga²,

Setiawati

et al. 2021

Sustainability

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Rice farming in coastal areas is often victim to flooding as a result of climate change. Low-cost adaptation strategies are required to increase resilience and rice productivity in these flood-prone coastal areas. In this study, enriched Azolla extract (EAE) liquid biofertilizers, combined with selected stress-tolerant rice varieties, were tested in farmers’ fields in Pangandaran, West Java from June to October 2020. This study aimed to investigate the effectiveness of EAE in increasing the yield of different rice varieties. The research was arranged as a split-plot design with five replications. The main plot was the EAE application (T1 = 3 ton ha−1 compost and T2 = 3 ton ha−1 compost + 10 L ha−1 of EAE), and the sub-plots were stress-tolerant rice varieties (V1 = Inpari 43, V2 = Mawar, V3 = Inpari 30, V4 = Inpara 03, V5 = Mendawak). The application of EAE of 10 L ha−1 significantly affected the rice grain yield, which was 37.06% higher than that of the control plot. The average grain yield of the five varieties under EAE treatment (5.51 ton ha−1) was greater than the grain yield of local farmers’ fields (3.78−4.97 ton ha−1). Inpari 43 had the highest grain yield with 5.90 ton ha−1, but the yield was not significantly different from the Mendawak variety (4.90 ton ha−1). This result suggests that EAE and selected stress-tolerant rice varieties (Inpari 43 or Mendawak) are an effective adaptation strategy to increase rice farms’ resilience and productivity in coastal areas prone to flooding.

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Section: Resultsmentioning

confidence: 59%

Improving the Climate Resilience of Rice Farming in Flood-Prone Areas through Azolla Biofertilizer and Saline-Tolerant Varieties

Simarmata

Prayoga²,

Setiawati

et al. 2021

Sustainability

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“…The observation parameters were nitrate reductase activity (NRA) [15], total chlorophyll (TC) [16], leaf photosynthesis rate (LPR) [17], nitrogen loss (NL) [18], nitrogen use efficiency (NUE) [19], and seed yield per hectare (SY). The seeds were dried in the sun to reach 11% of moisture levels [20][21]. Sampling for parameters TC, NRA, and LPR was carried out when the hybrid maize entered the maximum vegetative phase at eight weeks after sowing and the seed yield parameters were sampled at 14 weeks after sowing.…”

Section: Hybrid Maize Variablesmentioning

confidence: 99%

Differences in Biochar Sources for Controlled Nitrogen Loss in a Hybrid Maize Agroforestry System with Melaleuca cajuputi

Kastono

Suryanto

Rogomulyo

et al. 2022

J. Eng. Technol. Sci.

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Biochar is used to improve soil fertility and control nitrogen loss in soil. This study aimed to evaluate the difference between biochar sources, namely Melaleuca cajuputi waste and rice husk, for controlled nitrogen loss in hybrid maize planted between Melaleuca cajuputi stands. A split-plot design with three replications was used. The main plot was composed of biochar sources (BS), i.e., without biochar application (WB), Melaleuca cajuputi biochar (MCB), and rice husk biochar (RHB). The subplot was the urea fertilizer dosage, i.e., 0, 150, 300, and 450 kg/ha. The observation parameters were nitrate reductase activity (NRA), total chlorophyll (TC), leaf photosynthesis rate (LPR), nitrogen loss (NL), nitrogen use efficiency (NUE), and seed yield per hectare (SY). The data were analyzed with ANCOVA and LS-means. The results showed that there was no significant difference between mixing MCB or RHB in UF for all hybrid maize parameters, whereas significant differences were observed with WB. The NL values of MCB and RHB were 13.85 and 13.08 kg/ha N, i.e., NL was significantly reduced by 70.90% and 72.51%, and the percentage of SY increased by 28.60% and 37.94% compared to WB, respectively.

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“…This study was conducted from November 2019 to February 2020 in Menggoran Forest Resort, Playen Forest Section, Yogyakarta Forest Management District, Indonesia (Figure 1a). The study site is at an altitude of ±100 meters above sea level and has a ustic moisture regime: annual mean temperature, relative humidity, and precipitation of 29.38 °C, 81.90%, and 1,182 mm year −1 , respectively (Alam et al 2019a;Alam et al 2019b;Alam et al 2021;Suryanto et al 2017;Suryanto et al 2020b). This regime is composed of limited moisture but is suitable for plant growth when environmental conditions are favorable and when the water requirements for plants are met (Boettinger et al 2015).…”

Section: Study Sitementioning

confidence: 99%

“…The soil types in the study area were classified as Lithic Haplusterts, Vertic Haplustalfs, and Ustic Epiaquerts (Alam et al 2019a;Alam et al 2020;Alam et al 2021;Suryanto et al 2017;Suryanto et al 2020a;Suryanto et al 2020b). Lithic Haplusterts is included in Vertisol, which shrinks under dry conditions and expands under wet conditions.…”

Section: Site Characteristicsmentioning

confidence: 99%

Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP

et al. 2021

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Abstract. Alam T, Suryanto P, Supriyanta, Basunanda P, Wulandari RA, Kastono D, Widyawan MH, Nurmansyah, Taryono. 2021. Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP. Biodiversitas 22: 4750-4757. Genotype-by-environment interaction (GEI) causes differences in the productivity of rice cultivars in agroforestry systems. For this reason, the stability of rice cultivars is an important aspect that should be considered before a cultivar is recommended to farmers. Superior genotypes and ideal environments are commonly identified using two statistical models, namely, genotype–genotype-by-environment biplot (GGE-biplot) and empirical best linear unbiased prediction (EBLUP). In this study, 15 rice cultivars were evaluated in terms of their productivity and stability in three soil types (Lithic Haplusterts, Ustic Epiaquerts, and Vertic Haplustalfs) in an agroforestry system with kayu putih (Melaleuca cajuputi) in 2019 and 2020 at the Menggoran Forest Resort, Playen Forest Section, Yogyakarta Forest Management District, Indonesia. The cultivars were treated as random effects to select and obtain the EBLUP of the best cultivars in each soil type. The EBLUP revealed that Situ Patenggang showed the highest yields of 4.887 and 5.456 tons ha?1 in Lithic Haplusterts and Vertic Haplustalfs, respectively. GM 28 exhibited the highest yield of 6.492 tons ha?1 in Ustic Epiaquerts. Ciherang, GM 2, GM 8, GM 11, GM 28, Inpari 6 Jete, Inpari 33, IR-64, and Way Apo Buru were classified as stable and fairly stable cultivars, whereas the other cultivars were unstable. Therefore, rice cultivars with high yields in specific soil types should be selected.

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Interactions of Biochar Briquette with Ammonium Sulfate Fertilizer for Controlled Nitrogen Loss in Soybean Intercopping with Melaleuca cajuputi

Cited by 7 publications

References 21 publications

Improving the Climate Resilience of Rice Farming in Flood-Prone Areas through Azolla Biofertilizer and Saline-Tolerant Varieties

Improving the Climate Resilience of Rice Farming in Flood-Prone Areas through Azolla Biofertilizer and Saline-Tolerant Varieties

Differences in Biochar Sources for Controlled Nitrogen Loss in a Hybrid Maize Agroforestry System with Melaleuca cajuputi

Rice cultivar selection in an agroforestry system through GGE-biplot and EBLUP

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