Kriteria Awal Musim Tanam: Tinjauan Prediksi Waktu Tanam Padi Di Indonesia

Surmaini, Elza; Syahbuddin, Haris

doi:10.21082/jp3.v35n2.2016.p47-56

Cited by 20 publications

(19 citation statements)

References 33 publications

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“…For rice plants, wet months are months when the average rainfall is higher than 200 mm and dry months are months when the rainfall is equal to or less than 100 mm. The 200 mm figure is used because the water demand for lowland rice, including the percolation, is close to 200 mm [20,21]. The WRI system plays a crucial role in the alleviation of drought.…”

Section: Cropping Intensitymentioning

confidence: 99%

Assessing Opportunities to Increase Yield and Profit in Rainfed Lowland Rice Systems in Indonesia

Erythrina

Anshori²,

Bora³

et al. 2021

Agronomy

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In this study, we aimed to improve rice farmers’ productivity and profitability in rainfed lowlands through appropriate crop and nutrient management by closing the rice yield gap during the dry season in the rainfed lowlands of Indonesia. The Integrated Crop Management package, involving recommended practices (RP) from the Indonesian Agency for Agricultural Research and Development (IAARD), were compared to the farmers’ current practices at ten farmer-participatory demonstration plots across ten provinces of Indonesia in 2019. The farmers’ practices (FP) usually involved using old varieties in their remaining land and following their existing fertilizer management methods. The results indicate that improved varieties and nutrient best management practices in rice production, along with water reservoir infrastructure and information access, contribute to increasing the productivity and profitability of rice farming. The mean rice yield increased significantly with RP compared with FP by 1.9 t ha−1 (ranges between 1.476 to 2.344 t ha−1), and net returns increased, after deducting the cost of fertilizers and machinery used for irrigation supplements, by USD 656 ha−1 (ranges between USD 266.1 to 867.9 ha−1) per crop cycle. This represents an exploitable yield gap of 37%. Disaggregated by the wet climate of western Indonesia and eastern Indonesia’s dry climate, the RP increased rice productivity by 1.8 and 2.0 t ha−1, with an additional net return gain per cycle of USD 600 and 712 ha−1, respectively. These results suggest that there is considerable potential to increase the rice production output from lowland rainfed rice systems by increasing cropping intensity and productivity. Here, we lay out the potential for site-specific variety and nutrient management with appropriate crop and supplemental irrigation as an ICM package, reducing the yield gap and increasing farmers’ yield and income during the dry season in Indonesia’s rainfed-prone areas.

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Section: Cropping Intensitymentioning

confidence: 99%

Assessing Opportunities to Increase Yield and Profit in Rainfed Lowland Rice Systems in Indonesia

Erythrina

Anshori²,

Bora³

et al. 2021

Agronomy

Self Cite

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“…Pada Gambar 10, dasarian J-3 menunjukkan jumlah awan Cumuliform mencapai lebih dari 25.000 dari total 449.721pixel yang ada di selatan Indonesia. Nilai ini kemudian menurun cukup signifikan pada F-2, biasanya hal ini dikaitkan dengan fase Break Monsoon dimana terjadi penurunan jumlah curah hujan sesaat pada periode musim hujan sebelum kemudian meningkat lagi pada F-3 (Surmaini & Syahbuddin, 2016;Swarinoto & Wirjohamidjojo, 2010).…”

Section: Pola Rata-rata Jenis Awan Per-dasarianunclassified

Pola Spasial Dan Temporal Jenis Awan Di Selatan Indonesia Berdasarkan Kanal Ir1 Himawari-8 Pada Periode Musim Hujan

Muharsyah¹,

Fitrianti²

2020

JSTMC

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Banyak kajian yang telah membahas perkiraan jenis awan atau intensitas curah hujan menggunakan citra satelit cuaca HIMAWARI-8, namun umumnya dalam skala wilayah yang kecil (pada satu kota) dan rentang waktu yang singkat (pengamatan beberapa jam). Penelitian ini bertujuan untuk mengidentifikasi pola spasial dan temporal jenis awan yang diduga dari kanal IR1 HIMAWARI-8, pada cakupan wilayah yang lebih luas, yaitu di bagian selatan Indonesia (80E-150E;15S-1N), serta pada periode pengamatan lebih lama (musim hujan 2017/2018). Metode Convective Stratiform Technique (CST) dipilih untuk menduga jenis awan Stratiform dan Cumuliform. Hasilnya secara temporal, awan Stratiform lebih dominan muncul pada sore hingga malam hari. Kemudian secara spasial, bagian barat di selatan Indonesia selalu diliputi awan Stratiform dari pagi hingga malam hari. Berdasarkan jumlah awan Cumuliform, puncak musim hujan terjadi pada 21–31 Januari 2018. Penelitian ini juga menunjukkan bahwa juga jumlah pixel awan Cumuliform berkorelasi kuat (r>0,75) terhadap jumlah pixel citra Global Satellite Mapping of Precipitation Near Real Time (GSMaP) dengan intensitas curah hujan >0,1 mm/jam. Terakhir, penelitian ini memberikan suatu pendekatan baru untuk mengukur akurasi antara jenis awan yang diduga dari kanal IR1 HIMAWARI-8 dengan terjadinya curah hujan di suatu wilayah yang dapat dipakai untuk mengevaluasi fenomena pada skala meso seperti Mesoscale Convective Complex (MCC).

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“…The initial MT determination criteria are the main key to provide accurate planting time recommendations. Plant growth and production are dynamic functions, non-linear interactions between weather, soil, food transport dynamics, and plant physiology per day so that they cannot be estimated based only on initial planting conditions where the average climate during the growing season [11]. Related to climate change, several climate change indicators that can be observed are rising air temperatures, changes in rainfall patterns, rising sea levels, and increasing extreme climate events.…”

Section: The Initial Scenario Of Rice Plantingmentioning

confidence: 99%

Preliminary Prediction of Rice Planting for Planting Season 2019, 2020, and 2021, Based Water Balance in Freshwater Swampland

Mayasari

Hairani

2020

BIO Web Conf.

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Climate change that has occurred in recent years causes a shift at the beginning of rice planting. Rice crop failure due to flooding or drought is the main cause of the low Cropping Index in the freshwater swampland such as happened in Swampland Agro Science Park of Banjarbaru. Therefore, this study was carried out to determine the preliminary prediction of the rice planting season for planting season (MT) 2019, 2020, and 2021 based on water balance. As for what can be analyzed was the rainfall data as input compared to evapotranspiration through the Hargreaves approach. Then the output obtained in the form of net rate which used to measure the amount of rain every year. M eanwhile, the water requirement for rice was calculated during the period of growth to harvest. After that, the water balance simulation was performed from the difference in water bubbles (net yield rate) with the water needs in the rice field. Based on this water balance simulation obtained that the beginning of rice planting for MT 2019 is May IV-June IV, MT 2020 is June I-July I, and MT 2021 is June II-July II.

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Kriteria Awal Musim Tanam: Tinjauan Prediksi Waktu Tanam Padi Di Indonesia

Cited by 20 publications

References 33 publications

Assessing Opportunities to Increase Yield and Profit in Rainfed Lowland Rice Systems in Indonesia

Assessing Opportunities to Increase Yield and Profit in Rainfed Lowland Rice Systems in Indonesia

Pola Spasial Dan Temporal Jenis Awan Di Selatan Indonesia Berdasarkan Kanal Ir1 Himawari-8 Pada Periode Musim Hujan

Preliminary Prediction of Rice Planting for Planting Season 2019, 2020, and 2021, Based Water Balance in Freshwater Swampland

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