Heritability, Character Association and Genetic Advance in Six Agronomic and Yield Related Characters in Leaf Corchorus olitorius
The objective of this study was to assess 15 genotypes of Corchorus olitorius for broad-sense heritability, character association and genetic advance in five yield related characters. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. High estimates of broad-sense heritability was recorded in number of leaves per plant (96.99), plant height at maturity (95.61), leaf weight per plant (94.72), total weight per plant (97.02) and harvest index (75.00) suggesting additive gene effect in the expression of these characters. Meanwhile, Number of leaves per plant, plant height at maturity, leaf weight per plant and total leaf weight per plant, combining high heritability, Genotypic Coefficient of Variability (GCV) and Genetic Advance (GA), suggests that selection based on these characters will be meaningful in predicting for vegetative yield in C. olitorius. Strong positive genotypic and phenotypic correlation was reported between number of leaf per plant and plant height at maturity (0.43, 0.45), leaf weight per plant (0.86, 0.87), total plant weight (0.81, 0.82) and harvest index (0.33, 0.38), suggesting that selection based these characters will lead to an increase in vegetative yield of C. olitorius. Meanwhile, significant negative phenotypic and genotypic correlations between plant height at maturity and harvest index is an indication that selection based of plant height alone will depress vegetative yield in C. olitorius. The results from this study leads to the conclusion that number of leaves per plant, plant height, leaf weight per plant and total plant weight should be considered during selections for vegetative yield in C. olitorius.
Received: February 26, 2012;
Accepted: July 17, 2012;
Published: September 03, 2012
Corchorus olitorius is an important Indigenous Leaf Vegetable (ILV)
of Africa. In Ghana and Tanzania C. olitorius it is regarded as a vegetable
of regional importance, ranking among the top ten indigenous cultivated vegetables
(Schippers, 1996, 2000) while
in Nigeria, Corchorus olitorius ranks among the top five most important
vegetables in the south west of the country. In Africa, it is cultivated principally
for the slimy leaves which is found suitable for the consumption of the staple
food crops products such as eba, tuwo, elubo, etc. in Nigeria. Corchorus
olitorius is one of the top five most important vegetables with draw
properties (others are okra, Irvingia gabonensis, Adansonia digitata)
which are used commonly in parts of West Africa. It is also popular in Egypt
and Sudan for the draw property in the traditional dish called Malachia. Industrially,
C. olitorius is used extensively in Asia for the production of jute hence
the name jute mallow (Denton, 1993). There
is a wide diversity of cultivated types found on farmers plots in Africa Nath
and Denton (1979) and Westphal-Stevels (1986), including
intermediate types arising from natural crossing. In traditional African farming
system, the yield of C. olitorius is made up of the vegetative parts
which is harvested by intermittent cutting of the branches or by uprooting of
whole plants. The edible leaves are later removed from the branches for consumption.
Considerable variation exist in the vegetative characters that are associated
with the green leaf yield e.g., branching, plant height, leaf size etc. (National
Horticultural Research Institute, 1986). Similar variations also exist in
some qualitative characters including, leaf and stem color, branching habit,
fruit color etc. Denton (1993) observed that the green
leaf yield of the crop in Bangladesh and India was about 5 t ha-1
and in Brazil the yields were 1.5-2.0 t ha-1. In West Africa, the
average yield on farmers plots is 5-15 t ha-1 although much
higher yields have been recorded on experimental plots in Nigeria and Cameroon
(Fondio and Grubben, 2004). The yield can be further
increased in agronomic areas with application of chemical and organic fertilizers
(Olaniyi and Ajibola, 2008). Crop improvement programmes
on jute for selection of varieties with finer fiber have, over the years, received
considerable attention in Bangladesh and India but there have been limited genetic
improvement programme on the African vegetable type of C. olitorius.
Separation of segregating populations into distinct leaf types was carried out
at Nihort, Nigeria (National Horticultural Research Institute,
1986). A review of the application of biotechnology and tissue culture techniques
in solving production and improvement related problems in the indigenous leafy
vegetables of Africa including C. olitorius was done by Opabode
and Adebooye (2005). Various attempts had been made to conserve the germplasm
of Corchorus spp in national and institutional gene banks in e.g., Nigeria,
Ethiopia, Kenya, Sudan and Zambia (Attere, 1997) but
the rate of genetic exploitation of the variation for production of improved
cultivars and vegetative yield have not received sufficient attention. Rapid
genetic improvement of crop depends on the availability of sufficient genetic
diversity, which could be selected and combined in various forms to produce
reasonable improvement (Denton and Nwangburuka, 2011;
Wani et al., 2011). Various methods have been
employed in the determination of heritability estimates (Wray
and Visscher, 2008; Jindal et al., 2010;
Denton and Nwangburuka, 2011; Nwangburuka
et al., 2012). Estimates of heritability values become more reliable
and meaningful when combined with genetic advance (Denton
and Nwangburuka, 2011). High heritability and genetic advance in a trait
indicates the presence of additive genes in such trait and further suggest reliable
crop improvement through selection of such a trait (Panse,
1957). Similarly, information on character association between yield and
yield related characters in crops is important for effective and rapid progress
in selection and crop improvement (Binodh et al.,
2008; Denton and Nwangburuka, 2011). This will indicate
the interrelationship between two or more plant characters and yield, providing
suitable means for indirect selection for yield. The present study was aimed
at evaluation of fifteen accessions of C. olitorius and determination
of the heritability, genetic advance and association of quantitative vegetative
characters with the leaf yield of vegetable C. olitorius.
MATERIALS AND METHODS
Fifteen accessions of Corchorus olitorius (Table 1)
including single plant selections and cultivars obtained from the National Horticultural
Research Institute, Idi Ishin Nigeria and local seed markets, were planted between
May 2009 and May 2010 at the teaching and research experimental plot of Babcock
University Horticultural Unit, in the southern rainforest belt of Nigeria.
|| Accessions and their sources
|NIHORT: National Horticultural Research Institute, Ibadan,
UNAAB: University of Agriculture, Abeokuta, BU: Babcock University Ilishan-Remo,
NACGRAB: National Centre for Genetic Resources and Biotechnology
The seed dormancy for each accession was first removed with hot water treatment
for ten seconds and the trial was then set up in a Randomized Complete Block
Design (RCBD). The seeds of the accessions were mixed separately with fine river
sand (1 g seed:10 kg sand) and then drilled in rows on raised beds, each row
was 5.0 m long with a spacing of 50 cm between two rows and within rows the
seedlings were thinned to a spacing of 2.0 cm between plants. There were four
rows of plants per plot for each accession and each plot was replicated three
times. Before drilling the seeds, a pretreatment of cured poultry manure was
applied on all the plots at the rate of 20 t ha-1. The plants were
raised under rain fed conditions and manual weeding was carried out to maintain
weed free plots. Regular insecticidal control measure was maintained during
the investigation. At eight weeks after sowing when the accessions were fully
established and there were distinct variations in plant morphological characteristics,
ten competitive plants in each plot were harvested and observations were taken
on the following morphological characteristics on each plant:
||Plant height at maturity (cm)
||Number of leaves per plant
||Fresh leaf weight per plant (g)
||Stem weight (g)
||Total plant weight (g)
||Harvest index (%): Determined by dividing the fresh leaf weight by total
plant weight and expressing the value in percentage
The mean value for each character was calculated as the average for the ten harvested plants and was used for the statistical analysis.
Data analysis: Data collected on the morphological characters were analyzed
using SAS (1999). The yield and yield component were used
to determine the genotypic and phenotypic variances according to Prasad
et al. (1981) as follows:
|| Genotype mean squares
|| Mean square error
||Number of replications
The variance component was used to compute the Genotypic Coefficient of Variability
(GCV), Phenotypic Coefficient of Variability (PCV), estimates of broad-sense
heritability and Genetic Advance (GA) according to Burton
(1952), Johnson et al. (1955) and Kumar
et al. (1985) as follows:
where, δg and δph are the genotypic and phenotypic standard deviations, respectively and X is the grand mean for the character under consideration:
where, δ2g is the estimate of genotypic variance, δ2e is the estimate of environmental variance
Genetic advance = heritability×k×δph
where, K (selection differential expressed in phenotypic standard deviations)
Estimates of genotypic and phenotypic correlation coefficients among the characters
were obtained using the formula of Miller et al.
(1958) as follows:
where, rx,y is either genotypic or phenotypic correlation between
variables x and y, CoV(x, y) is the genotypic or phenotypic covariance
between two variables, δ2x is the genotypic or phenotypic variance
of the variable x and δ2y is the genotypic or phenotypic variance
of the variable yield y.
RESULTS AND DISCUSSION
The result of analysis of variance indicated significant differences (p = 0.01)
among the genotypes in all the characters studied except in stem weight per
plant (Table 2). This suggests that there were genetic diversity
in these characters among the accessions studied and further suggests prospects
for meaningful selection for Corchorus improvement. This agrees with the reports
of Dar and Sharma (2011), who reported significant variation
in quantitative characters in 60 tomatoes genotypes, Kitila
et al. (2011) reported significant variations in quantitative traits
in coffee; Singh et al. (2011) reported significant
variations quantitative characters in field pea, Nwangburuka
et al. (2012) reported significant variations in nine yield related
characters in twenty nine accessions of okra and Denton
and Nwangburuka (2011) reported significant genetic variations in six yield
related characters in eighteen accessions in Solanum anguivi. Table
3, shows the mean, standard error, phenotypic, genotypic and environmental
variances, Phenotypic Coefficient of Variability (PCV) and Genotypic Coefficient
of Variability (GCV), heritability in the broad-sense and genetic advance observed
in the characters studied in the fifteen accessions of Corchorus olitorius.
Generally, the value of PCV was slightly higher than the GCV value in all the
traits except for stem weight per plant. This may suggest slight environmental
effect on the phenotype of all the other characters except stem weight per plant.
This report corresponds to the report of Denton and Nwangburuka
(2011), Nwangburuka et al. (2012), Mohammed
et al. (2012), Yadav et al. (2011)
and Ayalneh et al. (2012) who observed slight
differences between PCV and GCV in characters studied in Solanum anguivi,
okra, Ethiopian Duram wheat, Rice and in seven out of sixteen characters in
Tef, respectively. The PCV ranged from (8.92) for harvest index to (70.66) for
stem weight. Similarly, GCV ranged from (7.73) for harvest index to (36.39)
for leaf weight. The high PCV and GCV values recorded in stem weight and leaf
weight suggests that these traits accounts for most of the variation recorded
in C. olitorius. This may also suggest a huge prospect for selection
based on these characters for yield improvement in C. olitorius (Denton
and Nwangburuka, 2011; Aragaw et al., 2011;
Ayalneh et al., 2012). The phenotypic and genotypic
variance was highest in plant height (19.42 and 18.57) but lowest in the harvest
index (0.00 and 0.00).
|| Mean squares of vegetative and yield related characters of
fifteen Corchorus olitorius accessions in Ilishan-Remo rainy season
|**Significant at 1% (p = 0.01) level of probability
||General mean, estimate of phenotypic and genotypic variance,
phenotypic and genotypic coefficient of variability, broad-sense heritability
and genetic advance expressed for 15 Corchorus olitorius accessions
High genotypic variance facilitates selection for improvement and widens the
probability for heritability of traits from parents to offspring (Ayalneh
et al., 2012). Broad-sense heritability estimates varied from low
to high. Dabholkar (1992) categorized heritability estimates
as low (5-10%), medium (11-30%) and high (>30%). Maximum estimates of broad-sense
heritability was recorded in total plant weight (97.02), number of Leave per
plant (96.99), plant height (95.61), leaf weight per plant (94.72) and harvest
index (75.00). This suggests the effect of additive genes in the inheritance
of these characters. This further indicates that any selection in C. olitorius
based on the phenotype of these characters will be effective in the improvement
of C. olitorius vegetative yield. According to Gandhi
et al. (1964) and Ibrahim and Hussein (2006),
prediction of the response of an individual to selection are more reliable when
GCV, estimates of broad-sense heritability and genetic advance is combined instead
of relying on the estimates of broad-sense heritability estimates alone. When
the GA is high the heritability is mainly due to additive gene effect (Percy
and Turcotte, 1991). Hence selection based on characters such as number
of leaves per plant (30.44, 96.99 and 61.67), plant height (15.60, 95.61 and
31.43), leave weight per plant (36.39, 94.72 and 72.96) and total plant weight
(31.16, 97.02 and 67.26) combining high GCV, heritability and GA, respectively
are under additive gene effect and will be effective in accurate prediction
of yield (Bello et al., 2006). This agrees with
the reports of Mohammed et al. (2012) in their
work with wheat; Yadav et al. (2011) in their
report on rice, Parthiban et al. (2011) in their
report with Jathropa and Ayalneh et al. (2012),
who reported combined high estimates of heritability and genetic advance in
days to panicle emergence in Tef. Meanwhile, Nwangburuka
et al. (2012) reported high combined broadsense heritability, GCV
and genetic advance in characters such as plant height at maturity, pod length
at maturity, number of branches per plant and pod weight per plant in okra.
High heritability and genetic advance is an indication of how much selection
to improve a character can be based of phenotypic performance (Johnson
et al., 1955).
Table 4 shows the genotypic and phenotypic correlation coefficients
among six characters of C. olitorius in the rainy season.
|| Genotypic and phenotypic correlation coefficients among six
characters of Corchorus olitorius in rainy season at Ilishan-Remo
|*, **Significant at 5 and 1% level of probability,
P: Phenotypic correlation, G: Genotypic correlation
The result shows that there was strong significant and positive relationship
between number of leaves per plant and plant height at maturity (0.43, 0.45);
leave weight per plant (0.86, 0.87); total plant weight (0.81, 0.82), Harvest
index (0.33, 0.38), whereas there was only significant genotypic significant
correlation between number of leaves per plant and stem weight per plant (0.45).
This is an indication that the phenotype is a true reflection of the genotype.
It further suggests that selection based on these characters will lead to increase
in leaf vegetative yield in C. olitorius. Similarly, strong significant
and positive phenotypic and genotypic correlation exists between plant height
at maturity and stem weight per plant (0.50, 1.29), leave weight per plant (0.59,
0.64), total plant weight (0.72, 0.77), while the relationship was negative
and significant between plant height at maturity and harvest index on both the
phenotypic and genotypic level (-0.35, -0.40). This suggests that selection
plant height will influence and increase in the vegetative yield of C. olitorius,
whereas this will depress the harvest index. This agrees with the report of
Nwangburuka et al. (2012) and Denton
and Nwangburuka (2011) who reported that selection based on plant height
will favor a high yield in okra and Solanum anguivi, respectively. Stem
weight per plant had significant and positive genotype correlation with leaf
weight per plant (0.68) whereas stem weight per plant expressed significant
and positive phenotypic and genotypic correlation with total plant weight (0.35,
0.88). Total leaf weight per plant had strong significant and positive phenotypic
and genotypic correlation with total plant weight (0.97, 0.98), harvest index
(0.32, 0.32). This also suggests that any selection based on total plant biomass
and harvest index will prove successful in C. olitorius yield improvement.
The results from this study leads to the conclusion that there are significant
genetic variability among the accessions studied. The genetic variability were
more prominent in number of leaves per plant, leaf weight and stem weight per
plant. It further concludes that characters such as number of leaves per plant,
plant height, leave weight per plant and total plant weight combining high GCV,
heritability and GA, should be considered during selections for vegetative yield
in C. olitorius.
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