| Literature DB >> 35741885 |
Tianyao Zhao1, Xiao Meng1, Chen Chen1, Lixia Wang2, Xuzhen Cheng2, Wentong Xue1.
Abstract
In recent years, with the expansion of mung bean (Vigna radiata L.) planting areas and the increase of consumer demand, it has become imperative to screen high-quality mung bean cultivars. In this study, the agronomic traits, fresh bean characteristics, and sensory evaluation of boiled beans were analyzed for 26 mung bean cultivars. The results showed that the variation coefficient and genetic diversity index of six agronomic traits of mung bean ranged from 9.04% to 44.98%, 1.68 to 1.96, respectively, with abundant genetic variation, and the highest was the grain yield. Mung bean cultivars with higher grain yield had more advantage in the number of branches, number of pods per plant, and 100-seed weight. The fresh bean traits were relatively stable, with an average coefficient variation of 8.48%. The trait with the highest genetic diversity index was the number of seeds per pod (2.03). The cultivar with the highest total sensory evaluation score of boiled beans was Zhanglv 3 (75.67), which had more advantages in taste and color. Through the comprehensive evaluation of grey relational analysis, the cultivars suitable for fresh food processing were Zhonglv 3 (0.960), Jilv 11 (0.942), Zhonglv 1 (0.915), CES-78 (0.899) and Kelv 2 (0.896). Generally, the high-quality cultivars with higher yield and fresh food processing characteristics were CES-78, Kelv 2, Zhonglv 16, and Zhonglv 2. This study provided a preference for the breeding of fresh mung bean cultivars, development of new products and improvement of mung bean resource utilization.Entities:
Keywords: fresh food processing; grey relational analysis; mung bean; sensory quality; yield
Year: 2022 PMID: 35741885 PMCID: PMC9222593 DOI: 10.3390/foods11121687
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Names of 26 mung bean cultivars.
| Code | Cultivar | Code | Variety |
|---|---|---|---|
| M1 | Zhonglv 3 | M14 | Sulv 5 |
| M2 | Jilv 11 | M15 | Weilv 5 |
| M3 | Kelv 2 | M16 | Weilv 6 |
| M4 | Zhanglv 3 | M17 | JL201215 |
| M5 | Zhonglv 1 | M18 | BL13-637 |
| M6 | Zhonglv 2 | M19 | Zhonglv 16 |
| M7 | Berkenx109897 | M20 | CES-78 |
| M8 | VC1560A | M21 | Lvfeng 3 |
| M9 | Lvfeng 5 | M22 | C2656 |
| M10 | Elv 1 | M23 | Bailv 12 |
| M11 | Zhonglv 13-1-1 | M24 | VC1482A |
| M12 | (VC3890A/V2709-32-45)-2 | M25 | VC3890A |
| M13 | (VC3890A/TC1966)-3-2001-541 | M26 | C01555 |
Figure 1Statistical analysis of six agronomic traits diversity of mung bean cultivars. Note: (a) growth period (d); (b) plant height (cm); (c) number of branches; (d) number of pods per plant; (e) grain yield (g); (f) 100-seed weight (g). SD: standard deviation; CV: coefficient of variation; H’: genetic diversity index.
Figure 2Statistical analysis of pod traits diversity of mung bean cultivars. Note: (a) pod weight (g); (b) pod width (mm); (c) pod length (mm); (d) number of seeds per pod.
Figure 3Fresh beans hardness (a) and boiled beans hardness (b).
Figure 4Sensory evaluation of boiled mung beans. Note: (a) aroma (point); (b) color and luster (point); (c) organizational form (point); (d) taste (point); (e) total score of sensory evaluation (point).
Figure 5Multivariate correlation of mung bean cultivars. Note: X1: growth period (d); X2: plant height (cm); X3: number of branches; X4: number of pods per plant; X5: grain yield (g); X6: 100-seed weight; X7: pod weight (g); X8: pod width (mm); X9: pod length (mm); X10: number of seeds per pod; X11: fresh bean hardness (N); X12: boiled bean hardness (N); X13: aroma (point); X14: color and luster (point); X15: organizational form (point); X16: taste (point); X17: total score of sensory evaluation (point). *, ** and *** indicate significant difference at p < 0.05, 0.01 or 0.001, respectively. Blue represents positive correlation between variables, red represents negative correlation, and the larger the color block, the stronger the correlation.
Weighted grey relational degree of 26 mung bean cultivars.
| Sort | Cultivar | WGRD | Sort | Cultivar | WGRD |
|---|---|---|---|---|---|
| 1 | Zhanglv 3 | 0.960 | 14 | Elv 1 | 0.861 |
| 2 | Jilv 11 | 0.942 | 15 | Weilv 5 | 0.856 |
| 3 | Zhonglv 1 | 0.915 | 16 | VC3890A | 0.855 |
| 4 | CES-78 | 0.899 | 17 | VC1560A | 0.851 |
| 5 | Kelv 2 | 0.896 | 18 | (VC3890A/TC1966)-3-2001-541 | 0.851 |
| 6 | Zhonglv 16 | 0.895 | 19 | Lvfeng 3 | 0.846 |
| 7 | Zhonglv 2 | 0.879 | 20 | Weilv 6 | 0.843 |
| 8 | BL13-637 | 0.875 | 21 | VC1482A | 0.837 |
| 9 | Berkenx109897 | 0.874 | 22 | (VC3890A/V2709-32-45)-2 | 0.832 |
| 10 | JL201215 | 0.872 | 23 | Sulv 5 | 0.825 |
| 11 | C2656 | 0.868 | 24 | Zhonglv 13-1-1 | 0.812 |
| 12 | C01555 | 0.867 | 25 | Bailv 12 | 0.812 |
| 13 | Lvfeng 5 | 0.864 | 26 | Zhonglv 3 | 0.805 |
WGRD: Weighted grey relational degree.