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
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)
Where SLA is specific leaf area (cm
2 g
-1), A is
leaf area (cm
2 m
-2) and Wleaf is leaf dry weight (g m
-2)
Leaf area ratio (LAR)
Where LAR is leaf area ratio (cm
2 g
-1), A is leaf
area (cm
2 m
-2) and W is plant dry weight (g m
-2)
Relative growth rate (RGR)
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)
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.
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