Early Identification of Trait Profiles on Local Indonesian Mungbean ( <i>Vigna radiata</i> L.) Varieties Revealed by Genotype by Yield <i> </i> <sup>∗</sup> Traits

Variety (VR) profiling between yield and other traits over multiple seasons is very important to identify superior lines. The goals of this study were to determine the relationship between various traits and to profile local mungbean accessions under two growing seasons. Field experiments were carried out in a randomized complete block design (RCBD) with two replications at the Ciparanje Experimental field, Faculty of Agriculture, Universitas Padjadjaran (UNPAD), Sumedang Regency (West Java, Indonesia). Thirty‐six local mungbean VRs from two semi‐arid regions of Indonesia (Nusatengara Timur [NTT] and Maluku Barat Daya [MBD]). Data were analyzed by genotype by traits (GTs) biplot, genotype by yield ∗ traits (GYTs) biplot, and superiority index (SI). Based on GT biplot, the yields were positively and highly correlated with ash content (AC) and water content (WC) but negatively correlated with carbohydrate content (CC), protein content (PC), and fat content (OC). Based on GYT biplot, all yield‐trait combinations were positively correlated with each other, except for OC, which showed negative correlation with other combinations. The trait profiles show that VR6 is located in the peak VR in the sector containing the trait combinations, followed by VR8, VR5, VR7, and VR2. The five VRs performed the best average values for yield and other traits based on the GYT biplot and SI.

Authors

Institutions

Publication Details

Journal
Advances in Agriculture
Published
2025-01-01
DOI
https://doi.org/10.1155/aia/2640130
Citations
1
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early Identification of Trait Profiles on Local Indonesian Mungbean ( Vigna radiata L.) Varieties Revealed by Genotype by Yield   ∗ Traits

Agung Karuniawan, Haris Maulana, Puji Syara Anggia, Reginawanti Hindersah et al.
1 citations
Advances in Agriculture
Genetics and Plant Breeding
1.75
article

Early Identification of Trait Profiles on Local Indonesian Mungbean ( Vigna radiata L.) Varieties Revealed by Genotype by Yield   ∗ Traits

Agung Karuniawan, Haris Maulana, Puji Syara Anggia, Reginawanti Hindersah, Hari Hariadi, Andrew Yoel, Welna Kristina Frans
article en
1 citations

Abstract

Variety (VR) profiling between yield and other traits over multiple seasons is very important to identify superior lines. The goals of this study were to determine the relationship between various traits and to profile local mungbean accessions under two growing seasons. Field experiments were carried out in a randomized complete block design (RCBD) with two replications at the Ciparanje Experimental field, Faculty of Agriculture, Universitas Padjadjaran (UNPAD), Sumedang Regency (West Java, Indonesia). Thirty‐six local mungbean VRs from two semi‐arid regions of Indonesia (Nusatengara Timur [NTT] and Maluku Barat Daya [MBD]). Data were analyzed by genotype by traits (GTs) biplot, genotype by yield ∗ traits (GYTs) biplot, and superiority index (SI). Based on GT biplot, the yields were positively and highly correlated with ash content (AC) and water content (WC) but negatively correlated with carbohydrate content (CC), protein content (PC), and fat content (OC). Based on GYT biplot, all yield‐trait combinations were positively correlated with each other, except for OC, which showed negative correlation with other combinations. The trait profiles show that VR6 is located in the peak VR in the sector containing the trait combinations, followed by VR8, VR5, VR7, and VR2. The five VRs performed the best average values for yield and other traits based on the GYT biplot and SI.

Advances in AgricultureVol. 2025(1)
Center for Plant Conservation (US), Regional Development Agency (CZ), Padjadjaran University (ID)
Universitas Padjadjaran, Badan Penelitian dan Pengembangan Pertanian
Openalex Percentile: Top 16%
Genetics and Plant Breeding
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.