Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pertanian Jurnal Agro Kultivasi jurnal Ilmu Pertanian (Agricultural Science)
Algina, Azka
Unknown Affiliation
Agriculture, Biological Sciences & Forestry

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Determining the potential of sonic bloom in inducing rice resistance (Oryza sativa) against the attack of bacterial leaf blight disease caused by Xanthomonas oryzae Algina, Azka; Yulianti, Syifaa Yunita; Syamsyiah, Rohimatus; Yasminingrum, Veadora; Nur Vendi, Bergas Frenli; Dewi, Vira Kusuma
Kultivasi Vol 22, No 3 (2023): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v22i3.44357

Abstract

Xanthomonas oryzae which causes bacterial leaf blight disease is one of the main pathogens that attack rice crops. The threat of losing rice yields due to X. oryzae needs to be avoided by implementing appropriate control strategies. Sonic bloom has the potential to induce plant immunity against diseases. Hence, this study aimed to examine the potential of sonic bloom in inducing rice resistance to bacterial leaf blight. The experiment was arranged in a Randomized Block Design (RBD) with five treatments and three replications. The treatments consisted of several frequencies, namely PR (0.5 - 1 kHz and inoculated with X. oryzae), PS (3 - 5 kHz and inoculated with X. oryzae), PT (7 - 10 kHz and inoculated with X. oryzae), KP (inoculated with X. oryzae without sonic bloom treatment), KN (no bacterial inoculation and sonic bloom treatment). The results showed that all sonic bloom treatments (LF, MF, HF) had a significant effect on increasing the intensity of BLB disease in rice plants. This showed that sonic bloom in this range does not have the potential to induce rice plant resistance to BLB. Further research to find out the causes of this is needed.
Genetic variability in 12 butterfly pea (Clitoria ternatea L.) accessions: a dual approach with cluster and principal component analysis Algina, Azka; Ustari, Debby; Wicaksono, Arif Affan; Concibido, Vergel; Karuniawan, Agung
Jurnal AGRO Vol 11, No 2 (2024)
Publisher : Jurusan Agroteknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/37117

Abstract

Understanding genetic variability is crucial for enhancing the breeding programs of butterfly pea (Clitoria ternatea L.), particularly in the face of the demand for improved crop varieties. This study aims to (i) evaluate the genetic variability of 12 butterfly pea accessions based on 28 agro-morphological traits and (ii) analyze the genetic relationships among these accessions. The research was conducted from December 2022 to October 2023 at the Ciparanje Experimental Field, Faculty of Agriculture, Universitas Padjadjaran. The experimental design employed a Randomized Complete Block Design (RCBD) with 12 accessions and three replications. Observations were made on 28 agro-morphological traits. Data analysis was performed using analysis of variance (ANOVA), principal component analysis (PCA), and agglomerative hierarchical clustering (AHC). ANOVA results indicated significant diversity among the 12 accessions based on 17 agro-morphological traits. PCA results showed that the first six principal components accounted for 89.1% of the total genetic variability and identified all traits as contributing factors to the genetic variability among the accessions. AHC analysis grouped the accessions into two main clusters, with Euclidean distances ranging from 1.00 to 4.00, indicating varying levels of genetic relatedness. These findings underscore the importance of genetic variability in formulating breeding strategies, particularly in the selection of parents based on targeted agro-morphological traits. ABSTRAK Informasi keragaman genetik sangat penting untuk mendukung program pemuliaan tanaman telang (Clitoria ternatea L.), khususnya dalam menghadapi permintaan varietas unggul. Penelitian ini bertujuan untuk (i) mengevaluasi keragaman genetik dari 12 aksesi kembang telang berdasarkan 28 karakter agro-morfologi dan (ii) menganalisis hubungan genetik di antara aksesi-aksesi tersebut berdasarkan 28 karakter agro-morfologi. Penelitian dilaksanakan pada Desember 2022 hingga Oktober 2023 di Kebun Percobaan Ciparanje, Fakultas Pertanian, Universitas Padjadjaran. Desain eksperimen menggunakan Rancangan Acak Kelompok Lengkap (RAKL) dengan 12 aksesi dan tiga ulangan. Pengamatan dilakukan pada 28 karakter agro-morfologi. Analisis data dilakukan dengan analisis varians (ANOVA), analisis komponen utama (PCA), dan pengelompokan hierarki aglomeratif (AHC). Hasil analisis ANOVA menunjukkan bahwa 12 aksesi telang beragam secara signifikan berdasarkan 17 karakter agro-morfologi. Hasil PCA menunjukkan bahwa enam komponen utama pertama menjelaskan 89,1% dari total keragaman genetik dan mengidentifikasi 28 karakter agro-morfologi sebagai karakter yang berkontribusi terhadap keragaman genetik 12 aksesi telang. Analisis AHC mengelompokkan 12 aksesi menjadi dua kelompok utama dengan jarak Euclidean berkisar antara 1,00 hingga 4,00, mengindikasikan tingkat kekerabatan genetik yang jauh. Temuan ini menegaskan pentingnya keragaman genetik dalam merumuskan strategi pemuliaan yang efektif, terutama dalam pemilihan tetua berdasarkan karakter agro-morfologi yang ditargetkan.
Genetic parameters and yield potential of Indonesian soybean varieties (Glycine max L.) in wetland during dry season Ridara, Fadila; Fitriani, Riska; Algina, Azka; Ustari, Debby; Karuniawan, Agung
Jurnal Ilmu Pertanian Vol 10, No 1 (2025): April
Publisher : Faculty of Agriculture, Universitas Gadjah Mada jointly with PISPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ipas.103816

Abstract

Cultivating soybean in wetland areas presents unique challenges, particularly during water-limited conditions like dry season, where yield performance can vary significantly among genotypes. This research aimed to assess the yield potential of Indonesian soybean varieties in wetland during dry season, to estimate genetic parameters, and to determine the relationship among traits. Twenty soybean genotypes were evaluated using Randomized Complete Block Design (RCBD) with three replications. Yield components measured included seed weight per plot, number of seeds per plant, and overall yield potential (tons per hectare). The results revealed significant variation among the genotypes. The estimation of genetic parameters indicates that traits comprising plant height, 100-seed weight, and the number of seeds per plant have high heritability and significant CVG/CVP ratios, suggesting efficient genetic selection potential and opportunities for genetic improvement through breeding. Pearson’s correlation network plot shows positive associations between traits, including plant height (PH), weight of biomass (WB), weight of seed per plot (WSP) and yield. 'Deja 1' variety exhibited the highest yield potential at 1.75 tons per hectare, while 'BS 99' variety showed the lowest at 0.18 tons per hectare. These findings underscore the importance of genotype selection in enhancing soybean productivity in water-limited environments. The study offers valuable insights for future breeding programs aimed at improving soybean yields in challenging conditions, such as dry season in wetlands, thereby contributing to sustainable agricultural practices in Indonesia.
Genetic parameters and yield potential of Indonesian soybean varieties (Glycine max L.) in wetland during dry season Ridara, Fadila; Fitriani, Riska; Algina, Azka; Ustari, Debby; Karuniawan, Agung
Jurnal Ilmu Pertanian Vol 10, No 1 (2025): April
Publisher : Faculty of Agriculture, Universitas Gadjah Mada jointly with PISPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ipas.103816

Abstract

Cultivating soybean in wetland areas presents unique challenges, particularly during water-limited conditions like dry season, where yield performance can vary significantly among genotypes. This research aimed to assess the yield potential of Indonesian soybean varieties in wetland during dry season, to estimate genetic parameters, and to determine the relationship among traits. Twenty soybean genotypes were evaluated using Randomized Complete Block Design (RCBD) with three replications. Yield components measured included seed weight per plot, number of seeds per plant, and overall yield potential (tons per hectare). The results revealed significant variation among the genotypes. The estimation of genetic parameters indicates that traits comprising plant height, 100-seed weight, and the number of seeds per plant have high heritability and significant CVG/CVP ratios, suggesting efficient genetic selection potential and opportunities for genetic improvement through breeding. Pearson’s correlation network plot shows positive associations between traits, including plant height (PH), weight of biomass (WB), weight of seed per plot (WSP) and yield. 'Deja 1' variety exhibited the highest yield potential at 1.75 tons per hectare, while 'BS 99' variety showed the lowest at 0.18 tons per hectare. These findings underscore the importance of genotype selection in enhancing soybean productivity in water-limited environments. The study offers valuable insights for future breeding programs aimed at improving soybean yields in challenging conditions, such as dry season in wetlands, thereby contributing to sustainable agricultural practices in Indonesia.
Genetic variability in 12 butterfly pea (Clitoria ternatea L.) accessions: a dual approach with cluster and principal component analysis Algina, Azka; Ustari, Debby; Wicaksono, Arif Affan; Concibido, Vergel; Karuniawan, Agung
Jurnal AGRO Vol. 11 No. 2 (2024)
Publisher : Jurusan Agroteknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/37117

Abstract

Understanding genetic variability is crucial for enhancing the breeding programs of butterfly pea (Clitoria ternatea L.), particularly in the face of the demand for improved crop varieties. This study aims to (i) evaluate the genetic variability of 12 butterfly pea accessions based on 28 agro-morphological traits and (ii) analyze the genetic relationships among these accessions. The research was conducted from December 2022 to October 2023 at the Ciparanje Experimental Field, Faculty of Agriculture, Universitas Padjadjaran. The experimental design employed a Randomized Complete Block Design (RCBD) with 12 accessions and three replications. Observations were made on 28 agro-morphological traits. Data analysis was performed using analysis of variance (ANOVA), principal component analysis (PCA), and agglomerative hierarchical clustering (AHC). ANOVA results indicated significant diversity among the 12 accessions based on 17 agro-morphological traits. PCA results showed that the first six principal components accounted for 89.1% of the total genetic variability and identified all traits as contributing factors to the genetic variability among the accessions. AHC analysis grouped the accessions into two main clusters, with Euclidean distances ranging from 1.00 to 4.00, indicating varying levels of genetic relatedness. These findings underscore the importance of genetic variability in formulating breeding strategies, particularly in the selection of parents based on targeted agro-morphological traits. ABSTRAK Informasi keragaman genetik sangat penting untuk mendukung program pemuliaan tanaman telang (Clitoria ternatea L.), khususnya dalam menghadapi permintaan varietas unggul. Penelitian ini bertujuan untuk (i) mengevaluasi keragaman genetik dari 12 aksesi kembang telang berdasarkan 28 karakter agro-morfologi dan (ii) menganalisis hubungan genetik di antara aksesi-aksesi tersebut berdasarkan 28 karakter agro-morfologi. Penelitian dilaksanakan pada Desember 2022 hingga Oktober 2023 di Kebun Percobaan Ciparanje, Fakultas Pertanian, Universitas Padjadjaran. Desain eksperimen menggunakan Rancangan Acak Kelompok Lengkap (RAKL) dengan 12 aksesi dan tiga ulangan. Pengamatan dilakukan pada 28 karakter agro-morfologi. Analisis data dilakukan dengan analisis varians (ANOVA), analisis komponen utama (PCA), dan pengelompokan hierarki aglomeratif (AHC). Hasil analisis ANOVA menunjukkan bahwa 12 aksesi telang beragam secara signifikan berdasarkan 17 karakter agro-morfologi. Hasil PCA menunjukkan bahwa enam komponen utama pertama menjelaskan 89,1% dari total keragaman genetik dan mengidentifikasi 28 karakter agro-morfologi sebagai karakter yang berkontribusi terhadap keragaman genetik 12 aksesi telang. Analisis AHC mengelompokkan 12 aksesi menjadi dua kelompok utama dengan jarak Euclidean berkisar antara 1,00 hingga 4,00, mengindikasikan tingkat kekerabatan genetik yang jauh. Temuan ini menegaskan pentingnya keragaman genetik dalam merumuskan strategi pemuliaan yang efektif, terutama dalam pemilihan tetua berdasarkan karakter agro-morfologi yang ditargetkan.
Co-Authors Agung Karuniawan Concibido, Vergel Debby Ustari Dewi, Vira Kusuma Nur Vendi, Bergas Frenli Ridara, Fadila Riska Fitriani Syamsyiah, Rohimatus WICAKSONO, ARIF AFFAN Yasminingrum, Veadora Yulianti, Syifaa Yunita