The Respon Growth and Yield of Shallots (Allium ascalonicum L.) on Dosage Cow Manure and Rice Husk
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh dosis pupuk kandang kotoran sapi dan sekam padi terhadap pertumbuhan dan hasil tanaman bawang merah (Allium ascalonicum L.). Penelitian dilaksanakan pada bulan Februari sampai dengan Juni, di Desa Kungkai Baru, Kecamatan Air Periukan, Kabupaten Seluma. Percobaan menggunakan Rancangan Acak Kelompok Lengkap faktorial dengan 2 faktor dan 3 ulangan. Faktor pertama adalah dosis pupuk kandang kotoran sapi, terdiri dari tiga taraf, yaitu 10 ton/ha, 20 ton/ha dan 30 ton/ha. Faktor kedua adalah dosis sekam padi, terdiri dari tiga taraf, yaitu 10 ton/ha, 20 ton/ha dan 30 ton/ha . Data dianalisis dengan analisis ragam dan dilanjutkan dengan uji Duncan’s Multiple Range Test pada taraf 5%. Hasil penelitian menyimpulkan bahwa perlakuan dosis sekam padi berpengaruh nyata terhadap tinggi tanaman 2 MST dan 4 MST, serta jumlah daun 2 MST. Perlakuan dosis pupuk kandang kotoran sapi berpengaruh tidak nyata terhadap semua peubah pengamatan. Hasil penelitian menunjukkan bahwa interaksi dosis pupuk kandang kotoran sapi dan sekam padi berpengaruh nyata terhadap jumlah umbi per rumpun, bobot umbi segar, dan produksi per petak. Perlakuan pupuk kandang kotoran sapi 10 ton/ha dan sekam padi 30 ton/ha terbaik dan memberikan hasil tanaman bawang merah tertinggi, yaitu jumlah umbi per rumpun 4,25 siung, bobot umbi segar 36,25 g, dan produksi per petak 237,19 g/m2.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it