Early Identification of Trait Profiles on Local Indonesian Mungbean (Vigna radiata L.) Varieties Revealed by Genotype by Yield ∗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 carri...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Advances in Agriculture |
| Online Access: | http://dx.doi.org/10.1155/aia/2640130 |
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| Summary: | 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 Y ∗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. |
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| ISSN: | 2314-7539 |