MétaCan
Menu
Back to cohort
Record W4404874866 · doi:10.37058/mp.v9i2.12544

PENGARUH COATING BENIH DENGAN PGPR DAN JENIS BAHAN PELAPIS TERHADAP VIABILITAS BENIH PADI

2024· article· id· W4404874866 on OpenAlexaff
Sri Sudewi, Idris Idris, Tiara Tiara, Abdul Rahim Saleh

Bibliographic record

VenueMEDIA PERTANIAN · 2024
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsEnvironmental science

Abstract

fetched live from OpenAlex

Keberhasilan pertumbuhan dan hasil panen tanaman salah satu faktornya ditentukan adalah viabilitas benih. Teknologi coating benih atau pelapisan benih merupakan solusi yang dapat diterapkan untuk meningkatkan viabilitas benih. Penelitian ini bertujuan untuk menganalisis aplikasi PGPR pada proses pelapisan benih dan mengidentifikasi jenis bahan pelapis yang efektif terhadap peningkatan viabilitas benih padi. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan enam perlakuan dan tiga ulangan sehingga diperoleh 18 unit uji perkecambahan. Perlakuan terdiri dari kombinasi suspensi PGPR konsorsium rizobakteri (genus Bacillus sp, Bacillus amylolquifaciens) dan berbagai macam bahan pelapis (bubuk kelor, bubuk kopi, bubuk kunyit, tapioka, dan brown sugar). Hasil yang diperoleh menunjukkan bahwa perlakuan coating benih kombinasi PGPR dan bahan pelapis bubuk kelor memberikan kombinasi yang efektif terhadap rata-rata daya kecambah (59,92%), keserempakan tumbuh maksimum (47,67%KN/etmal), jumlah kecambah normal (65,00 biji), benih keras (2,33 biji), dan rata-rata benih mati (3,33 biji) dibandingkan perlakuan lainnya. Hasil penelitian ini dapat menjadi dasar bagi pengembangan teknologi pelapisan benih yang lebih efisien, hemat biaya dan ramah terhadap lingkungan sehingga pada akhirnya dapat berkontribusi pada peningkatan produktivitas pertanian sebagai upaya menjaga ketahanan pangan. The success of plant growth and yield is determined by seed viability. Seed coating technology is a solution that can be applied to increase seed viability. This study aims to analyze the application of PGPR in the seed coating process and identify the type of coating material that is most effective on rice seed viability. This study used a completely randomized design (CRD) with six treatments and three replications to obtain 18 germination test units. The treatments consisted of a combination of PGPR suspension of rhizobacterial consortium (genus Bacillus sp, Bacillus amylolquifaciens) and various coating materials (Moringa powder, coffee powder, turmeric powder, tapioca, and brown sugar). The results obtained showed that the seed coating treatment of a combination of PGPR and moringa powder coating material provided an effective combination of average germination (59.92%), maximum growth uniformity (47.67%KN/etm), number of normal sprouts (65.00 seeds), hard seeds (2.33 seeds), and average dead seeds (3.33 seeds) compared to other treatments. The results of this study can be the basis for the development of seed coating technology that is more efficient, cost-effective and environmentally friendly so that it can ultimately contribute to increasing agricultural productivity as an effort to maintain food security.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.014
GPT teacher head0.213
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMEDIA PERTANIANSame topicPlant Growth and Agriculture TechniquesFrench-language works237,207