Research article Open Access
Performance and Growth Analysis of Three Mungbean (Vigna Radiate (L.) Wilczek) Genotypes at Hawassa, Ethiopia
Melese Lema1, Bililign Mekonnen2 and Getachewu Gudero2
1,2Southern Agricultural Research Institute (SARI), Department of plant breeding. P.O Box: 06, Hawassa Ethiopia.
*Corresponding author: Melese Lema, Southern Agricultural Research Institute (SARI), Department of plant breeding, Ethiopia; E-mail: @
Received: June 6, 2018; Accepted: July 9, 2018; Published: July 11, 2018
Citation: Melese L, Mekonnen B, Gudero G (2018) Performance and Growth Analysis of Three Mungbean (Vigna Radiate (L.) Wilczek) Genotypes at Hawassa, Ethiopia. Int J Hort Agric. 3(2): 1-4. DOI: 10.15226/2572-3154/3/2/00118
Abstract Top
The experiment was conducted during 2017 at the compound of Hawassa University in the College of Agriculture, Southern Ethiopia during off cropping season. To investigate the performance of different mung bean varieties on response of different growth parameters such as Specific Leaf Area, Leaf area ratio, net assimilation rate, and Relative growth and total dry Biomass. Three mung bean cultivars were grown in randomized complete block design with three replications. The objective of the study was to assess the performance of mung bean cultivars in relation to growth parameters and to estimate the analysis of growth characteristics using the primary values generated from these cultivars. Data were specific leaf area ratio, leaf area ratio, net assimilation rate, relative growth rate and above ground biomass. There is significant difference among cultivars observed for total dry biomass. The SLA and LAR of all cultivars increment from first sample to second sample as crop development progressed. The highest SLA and LAR were attributed suniana variety. Gofa local cultivar is highest Total dry biomass, since in this study genetic factor and environment are key factors for achieving optimum growth and dry matter production of mung bean cultivars.

Keywords: Leaf Area Ratio; Mung Bean Varieties; Net Assimilation Rate; Performance; Relative Growth; Specific Leaf Area; Total Dry Biomass;
Introduction
Mungbean (Vigna radiata (L.) Wilczek) Mungbean belongs to the order Leguminosae and Papilionoideae family [1]. It is an important short duration, self pollinated diploid legume crop with high nutritive values and nitrogen fixing ability. Hence, it is an eco-friendly food grain leguminous crop of dry land agriculture with rich source of proteins, vitamins, and minerals [2]. Mungbean contains 51% carbohydrate, 24–26% protein, 4% mineral, and 3% vitamins [3]. Besides providing protein in the diet, mungbean has the remarkable quality of helping the symbiotic root rhizobia to fix atmospheric nitrogen and hence to enrich soil fertility [4]. Smallholder farmers in drier marginal environments in Ethiopia grow mung bean. In southern Ethiopia, Farmers in some moisture stress areas (Gofa, Konso, south Omo zone and Konta) have been producing mung bean to supplement their protein needs and also effectively use scanty rainfall [5]. However, its agricultural productivity is drastically limiting in Ethiopia due to low genetic diversity and even if there are some genotypes, they are not improved genotypes [6]. This factor making the mung bean unknown to all farmers of the country and its production is being limiting. However some researchers have been done they are describes morphological diversity of the crop which might not exactly isolate superior genotypes for the farmers.

Several reports have been made about the contribution of various yield components towards yield [7, 8]. The yield components depend on some physiological traits. To understand the physiological basis of yield difference among the genotypes of mungbean, it is essential to quantify the components of growth, and the variation, if any, may be utilized in crop improvement. Variation in dry matter accumulation and pod production in different genotypes may be related to some factors such as leaf area (LA), crop growth rate (CGR), net assimilation rate (NAR) and relative growth rate (RGR). Mondal et al. (2012) analyzed growth parameters of six varieties of Mungbean in order to study the physiological causes of yield differences and observed differences in CGR, NAR, RGR and LA among the varieties. Not only Total Dry Matter (TDM) production, the capacity of efficient partitioning between the vegetative and reproductive parts may produce high economic yield. A better understanding of crop growth, yield parameters and the partitioning of assimilates into seed formation would help to expedite yield improvement of field crops and mungbean genotypes recent report showed in this regard [9,10 and 11] in different countries but not in Ethiopia. Currently, only these three varieties have been stayed under production in study area. Hence, the present study was undertaken with the following objectives.
Objectives
• To enables us understanding how data collected, analyzed and see impacts of different growth characteristics using the primary value generated from these three genotypes.

• To assess the performance of mungbean genotypes in relation to growth parameters.
Material and Methods
Description of the Study Area
The experiment was conducted during 2017 cropping season at Hawassa university college of Agriculture research field. Hawassa is found in southern parts of Ethiopia. The area is located 6°42’ N and 38° 29’E and with an elevation of 1650 masl. The soil of experimental area was fertile and sandy loam soil with PH of 5.5. The average mean annual rain fall is 800mm with an average annual minimum and maximum temperature of 13 and 27°C, respectively. The research was done by supplementary irrigation since there was shortage of rain fall during sowing time. The lab experiment was conducted at the department of plant and horticultural Sciences in the Physiology laboratory.
The Experimental Material and Design
The experiment was conducted using two improved and one local mungbean genotypes. These are Sunian, MH-97-6 and Gofa local (local check). The experiment was conducted using Randomized Complete Block Design (RCBD) replicated three times. The seeds were sown in plant spacing 40x10 cm, plot size -2m x 2m, each plot had 5 rows with total area 4m2 , since 08/03/2017. Seeds were drilled and thinned after fully ground cover. Supplementary irrigation took place immediately after sowing and the seed was emerged or fully seen after 7 days from sowing. Except experimental variables all other non-experimental variables and agronomic field management practices were applied uniformly to each plot and maximum care was taken to minimize the possible occurrence of yield limiting factors.
Data Collected
The first and the second samples were taken after 29 and 57 days from sowing, respectively and for both sample, 3 plants were taken at random from the middle rows for each plot to determine the following characters (primary values): plant height (cm), leaves area (cm2), dry weights of stems and leaves (gm). The final sample was taken 65 days after emergence by harvesting Two middle rows of mung bean population plants (area 1.6m2) for each plot which was important to determine or measure total dry matter (TDM) (g/m2).

Besides, there are other materials used to facilitate in data collection. These are sickle for harvesting, sensitive balance for actual measuring of the weights, portable area meter for leaf area measurement and others, subjected to dry over an oven at 70°c for 48 hours. Then the growth analysis like Specific leaf area (SLA), Leaf area ratio (LAR), Relative growth rate (RCR) and net assimilation rate (NAR) were carried out following the formula.
Specific leaf area (SLA)
SLA= A Wleaf MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4uaiaadY eacaWGbbGaeyypa0ZaaSaaaeaacaWGbbaabaGaam4vaiaadYgacaWG LbGaamyyaiaadAgaaaaaaa@3EC8@ Where SLA is specific leaf area (cm2 g-1), A is leaf area (cm2 m-2) and Wleaf is leaf dry weight (g m-2)
Leaf area ratio (LAR)
LAR= A W MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamitaiaadg eacaWGsbGaeyypa0ZaaSaaaeaacaWGbbaabaGaam4vaaaaaaa@3B1B@ Where LAR is leaf area ratio (cm2 g-1), A is leaf area (cm2 m-2) and W is plant dry weight (g m-2)
Relative growth rate (RGR)
RGR=( ( h  W 2 h  W 1 ) ( T 2 T 1 ) ) MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamOuaiaadE eacaWGsbGaeyypa0ZaaeWaaeaadaWcaaqaamaabmaabaGaamiAaiaa bccacaWGxbWaaSbaaSqaaiaaikdaaeqaaOGaeyOeI0IaamiAaiaabc cacaWGxbWaaSbaaSqaaiaaigdaaeqaaaGccaGLOaGaayzkaaaabaWa aeWaaeaacaWGubWaaSbaaSqaaiaaikdaaeqaaOGaeyOeI0Iaamivam aaBaaaleaacaaIXaaabeaaaOGaayjkaiaawMcaaaaaaiaawIcacaGL Paaaaaa@4A4A@
Where RGR is relative growth rate (mg g-1day-1),

W1, W2 = subscripts 1 and 2 indicate the value of W (plant dry weight) on two occasions (g m-2) T1, T2 = subscripts 1 and 2 indicate consecutive samplings at time T2 and T1.
Net assimilation rate (NAR)
NAR= (W 2 -W 1 ) (lnA 2 -lnA 1 ) (A 2 -A 1 ) (T 2 -T 1 ) MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaeOtaiaabg eacaqGsbGaeyypa0ZaaSaaaeaacaqGOaGaae4vamaaBaaaleaacaqG Yaaabeaakiaab2cacaqGxbWaaSbaaSqaaiaabgdaaeqaaOGaaeykai aabccacaqGOaGaaeiBaiaab6gacaqGbbWaaSbaaSqaaiaabkdaaeqa aOGaaeylaiaabYgacaqGUbGaaeyqamaaBaaaleaacaqGXaaabeaaki aabMcaaeaacaqGOaGaaeyqamaaBaaaleaacaqGYaaabeaakiaab2ca caqGbbWaaSbaaSqaaiaabgdaaeqaaOGaaeykaiaabccacaqGOaGaae ivamaaBaaaleaacaqGYaaabeaakiaab2cacaqGubWaaSbaaSqaaiaa bgdaaeqaaOGaaeykaaaaaaa@545D@
Where, W1 and W2 are the DM at the time T1 and T2 respectively. LA1 and LA2 are leaf area at the time T1 and T2, respectively.
Data Analysis
Each growth parameters were analyzed and computed mean values ± SE (standard error) by using the above listed formula for each treatment (genotypes). The recorded data of the mungbean genotypes for growth parameters was subjected to Analysis of Variance (ANOVA) appropriate to the experimental design analyzed using SAS software version 9.1 and tested significance at 5% probability level using the F test.
Result and Discussion
Growth parameters
Specific Leaf Area

Specific leaf are is a measurement of leaf thickness which plays an important role in leaf and plant functioning and related to species’ strategies of resources acquisition and use related with dry matter accumulation. Results of this experiment indicated that there were differences between three varieties with 108.35 cm2/g, 85.62 cm2/g and 103.03 cm2/g for sunian, MH-97-6 and Gofa local respectively within two sampling times (Table 1). The numerical values told that variety sunian had better leaf thickness which enables assimilate highly. This show that the resources (water) contribute for good uptake of for the formation of high dry matter and this study agree with Ann, B., 2005.

The SLA of all cultivars increased as crop development progressed. But the differences in SLA among the cultivars were relatively small. The SLA of sunian was better than MH-97-6 and in both sampling date and better than Gofa local at second sample. Highest specific leaf area of a crop indicates that it has larger leaf
Table 1: ANOVA for Growth Parameters

Source of Variation

DF

SS

MS

F cal

F tab 5%

Rep

2

4340.566

2170.283

0.477651NS

6.94

Trt

2

251064.7

125532.4

27.62804*

6.94

Error

4

18174.63

4543.658

Total

8

273579.9

CV=9.9%         CV =Coefficient of variation,
As ANOVA Table showed (Table 1), revealed that there are significant differences between treatments that were considered for growth parameters.
area and this helps the crop to have highest efficiency of light harvesting which means higher photosynthetic rate. Sefton et al., (2002) reported that SLA is an important trait characterizing plant adaptation to environmental conditions: its plasticity is often seen as a way for plants to increase the efficiency of lightharvesting, and/or the efficiencies of resource-use (e.g., light, water and nitrogen-use efficiencies).
Leaf Area Ratio (LAR)
The ratio between leaf area and total plant dry weight has been termed the leaf area ratio (LAR) (Table 2). A high LAR has been considered a desirable characteristic because it indicated the plant had a high photosynthetic potential in relation to its respiratory load. (Wallace and Munger 1965) found that the yields of bean cultivars were more highly correlated with their LAR than with either their LAI. The LAR of all cultivars increased as crop development progressed. This result argued that decline was reported by (Wallace et al. 1972). But the differences in LAR among the cultivars were relatively high. The LAR of Sunian was better than MH-97-6 and Gofa local with the mean values of 68.6398, 55.35 and 63.75 respectively. All cultivars showed a great increment in LAR. (Wallace and Munger 1965) compared several dry bean cultivars and found the yields were highly and positively correlated with the LAR. On the other hand, Buttery and Buzzell (1972) reported a negative relationship between the grain yields of soybean cultivars and their LAR values. The results of the present study from the yield and biomass relationship agree with those of Wallace and Munger.
Table 2: Growth Analysis on the Specific Leaf Area (SLA), Leaf Area Ratio (LAR)

Trt

1st Sample

2nd Sample

SLA1 (cm2g-1)

LAR1 (cm2g-1-1)

SLA2 (cm2g-1)

LAR2 (cm2g-1)

Sunaina

60.80787 ± 9.514

46.58474 ± 7.981653

155.8889 ± 16.69473

90.69486 ± 10.41097

MH-97-6

58.28 ± 7.194091

43.8528 ± 3.38598

112.9627 ± 35.45205

66.84819 ± 18.92605

Goffa-L

72.16019 ± 0.792059

51.45253 ± 0.806804

133.895 ± 9.441825

76.05607 ± 4.675801

*First Sampling at 22 days after emergence and Second sampling at 50 days after emergence
SE=Standard error, SLA1=Specific leaf Area first sampling, SLA2=Specific leaf Area second sampling, LAR1= leaf area ratio first sampling and LAR2= leaf area ratio second sampling
Net Assimilation Rate (NAR)
Net assimilation rate has been defined as the rate of increase of dry weight per unit of leaf area. This parameter has frequently been calculated in field research to estimate the photosynthetic efficiency of crop leaves. Donald pointed out that the NAR value for a crop was an average value for all leaves. From (Table3) result showed Sunaina high NAR than MH-97-6 and Gofa local. Several studies have found a negative correlation between leaf area ratio and NAR the rate of decline in LAR per unit increase in NAR has been used as a measure of the canopy efficiency of crops. (Watson and Witts, 1959) reported the NAR of improved cultivars showed a slower rate of decline than the older standard ones. They attributed this to improvements of canopy architecture. (Watson 1952) predicted that cultivars with a higher LAR would have a higher NAR, also; this experimental results in line with relationship, oppose to (Buzzell, 1972). They found that SLA had a high heritability and suggested it would be a good characteristic for easy, indirect selection of photosynthetic efficiency.
Relative Growth Rate (RGR)
Relative growth rate is the rate of increase in plant dry weight relatively to the total dry weight of that plant. The relative RGR of the cultivars depended on the stage of crop development Table 3. During the period, between two samples date, the RGR of MH-97-6 was better than Sunian and Gofa local numerically. The correlation between LAR, the ratio between total leaf area and total plant weight, and RGR was very high. This positive correlation was mainly due to the SLA, the ratio between leaf area and leaf weight, and to a lesser extent caused by the leaf weight ratio, the fraction of plant biomass allocated to the leaves (Poorter and Remkes, 1990).

The above ground total biomass showed significant difference for Gofa local from suniana and MH-97-6 Mung bean cultivars with the mean values 767.0833, 695.5833 and 569.625, respectively (Table 4). Leaf dry weight was the major component of the total dry weight. Dry matter accumulation in crops has a
Table 3: Growth Analysis on Net Assimilation Rate (NAR) and Relative Growth Rate (RGR).

Trt

LWR1 (gg-1)

LWR2
(gg-1)

NAR
(mg dm-2)

RGR
(mgg-1 day-1)

LAI1(cm-2)

LAI2(cm-2)

CGR
(gm-2 day-1)

Sunaina

0.775

0.580769

49.5

56

0.000535 ± 6.456153

0.006555 ± 30.91489

0.0000595

MH-97-6

0.773585

0.636145

2.3

66.5

0.000645 ± 6.39799

0.006885 ± 42.06054

0.000111

Goffa-Local

0.711111

0.570588

59

64.4

0.000641 ± 3.191812

0.007215 ± 41.0635

0.0000803

Mean ±SE

±0.021

±0.02

±17.532

±3.208

±0.000014

Table 4: The Mean Separation for Biomass Dry Weight.

Treatment

mean

Grouping

Gofa local

767.033

A

Suniana

695.0833

B

MH-97-

569.625

C

LSD=10.6 Means with the same letter are not significantly different.
direct relationship with leaf area ratio. The LSD shows there is significant difference between treatments that means varieties has a positive effect on total dry matter. This implies that genetic and environmental effect have influence to differentiate dry matter accumulation. The result showed that Gofa local is the highest Total dry biomass than Suniana and MH-97-6 varieties.
Summary and Conclusion
The genetic and environmental factors can cause a different level of variation of the tested characteristics of mung bean varieties. Because yield is a complex trait resulting from the interaction of morphological, phonological physiological and environmental parameters on the growth of plants, Mung bean (Vigna Radiate (L.) Wilczek. Cultivar types are important for good agronomic performance for greater growth and total dry biomass showed in the studied area.

The SLA and LAR of all cultivars increased and positively correlated as crop development progressed in first and second sapling. During the period, between samples 1 and 2, the SLA of Suniana was better than MH-97-6 and Gofa local the same result for LAR.

During the period, between two sampling dates, the RGR of MH-97-6 was better than Sunian and Gofa local numerically. As it is shown on the result, when relative growth rate increase leaf area ratio and specific leaf area also increases. So it’s possible to conclude that both leaf area ratio and specific leaf area affect the Mung bean growth rate.

The above ground total dry biomass showed significant difference Gofa local from MH-97-6 and Sunaina Mung bean cultivars. Numerically the maximum biomass 767.0833 gm/m2 from Suniana 695.5833 gm/m2 and 569.625 gm/m2 from MH- 97-6.Therefore Response of growth and growth parameters of the Performance mung bean cultivars in the study area lead us to the final conclusion different genetic capacity for its biomass production among cultivars.

Generally, it is fair to say that these Mung bean cultivars perform differently across their growing period.
ReferencesTop
  1. Rachie KO, Roberts LM. Grain legumes of the lowland tropics. Adv. Agron. 1974;26:1-132.
  2. Ketinge J, Easdown W, Yang A, Chadh R. and Shanmugasundaram M.S. Euphytica, 2011;180:129-141.
  3. Afzal MA, Murshad AN, Bakar MA, Hamid A, and Salahuddin ABM. Mungbean Cultivation in Bangladesh, Pulse Research Station, Bangladesh Agricultural Research Institute, Guipure, Bangladesh. 2008.
  4. Anjum MS, Ahmed ZI, and Rauf CA. “Effect of Rhizobium inoculation and nitrogen fertilizer on yield and yield components of moonbeam,” International Journal of Agriculture and Biology, 2006;8(2):238–240.
  5. Asrate Asfawu, Fikadu Gurmu., FistumAlemayehu, Yayis Rezene. Analysis of Multi-environment Grain Yield Trials in Mung Bean Vigna radiates (L.) Wilczek Based on GGE Bipot in Southern Ethiopia. J. Agric. Sci. Tech. 2012;14(2):389-398.
  6. Itefa Degefa. General Characteristics and Genetic Improvement Status of Mung bean (Vigna radiata L.) in Ethiopia Review Article. International Journal of Agriculture Innovations and Research. 2016;5(2):2319-1473.
  7. Hassan MS, Siddique AK, and Malek MA. Correlation studies in mungbean,” Bangladesh Journal of Agricultural Research. 1995;20:126–131.
  8. Singh SK, Singh IP, Singh BB and Singh O. Correlation and path coefficient studies for yield and its components in mungbean,” Legume Research. 2009;32(3):180–185.
  9. Khan A, Khalil SK. Effect of leaf area on dry matter production in aerated mungbean seed. Int. J. Plant Physiol and Biochem. 2010;2(4):52-61
  10. Hozayn M, Zeidan M, Abd El-Lateef E and Abd El-Salam M. Performance of some mungbean (Vignna radiate L. Wilczek) genotypes under Late Sowing Condition in Egypt. Research Journal of Agriculture and Biological Sciences, 2007;6:972-978.
  11. Mondal MMA, Puteh AB, Malek MA, Ismail MR, Rafii MY, and Latif1 MA. Seed Yield of Mungbean (Vigna radiata (L.)Wilczek) in relation to Growth and Developmental Aspects. Scientific World Journal. 2012.
 
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