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Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 38
RESEARCH PAPER OPEN ACCESS
Estimation of genetic parameters and gene actions of sorghum
[Sorghum bicolor (L.) Moench] tolerance to low p condition
Yuli Sulistyowati, Trikoesoemaningtyas*
, Didy Sopandie, Sintho Wahyuning Ardie,
Satya Nugroho
Department of Agronomy and Horticulture, Bogor Agricultural University, Bogor, Indonesia
Article published on September 09, 2015
Key words: Heritability, Genetic parameter, Additive, Epistasis, Sorghum.
Abstract
A study of sorghum tolerance to low P condition was conducted in two experiments : (1) in nutrient solution and
(2) in acid soil. The aim of this study was to obtain information on the genetic variability and heritability of
agronomic characters that could be used as selection criteria in low P condition and to obtain information on
gene action that controlled agronomic characters of sorghum. The plant materials used in this experiment were
F2 segregating population derived from the cross between B69 and Numbu. The first experiment was conducted
in the green house of Bogor Agricultural University. B69, Numbu and F2 population were grown hidroponically
for 14 days. Composition of the nutrient solution used in the experiment followed the method suggested by Ohki
with modification of P concentration. P is given in the form of KH2PO4: 0.001 mM. The results showed that
shoot dry weight (SDW) and total dry weight (TDW) had high estimate of heritability and moderate genotypic
coefficient of variance (GCV), thus these characters can be used for criteria selection for low P tolerance at
seedling stage. The significant value of skweness from the distribution shoot dry weight in F2 segregants, indicate
the presence of complementary epistasis gene action, whereas normal distribution of total dry weight showed
additive gene action. The second experiment was conducted in acid soils of Bogor District Experimental Field
Tenjo, Bogor. The results showed that stem diameter, panicle weight and grain yield per plant had high
heritability and wide GCV value, indicating these characters can be used as the selection criteria in selecting
sorghum genotypes for low P tolerance in acid soil. Based on the skewness values, all of the agronomy characters
observed in this study were influenced by additive gene action.
* Corresponding Author: Trikoesoemaningtyas  trikadytia@gmail.com@yahoo.com
International Journal of Agronomy and Agricultural Research (IJAAR)
ISSN: 2223-7054 (Print) 2225-3610 (Online)
http://www.innspub.net
Vol. 7, No. 3, p. 38-46, 2015
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 39
Introduction
Sorghum is the fifth major food crops in the world
after rice, wheat, maize and barley (Reddy et al.,
2007a). Sorghum is a potential source of
carbohydrates because it has a relatively high
carbohydrate content of about 73 g/100 g of edible
materials. Sorghum also contains protein, calcium
and vitamins B1 higher than rice and corn (Beti et al.,
1990). Another advantage of sorghum is gluten
content and a low glycemic index so it is suitable for
consumers with special nutritional needs (Schober et
al., 2007). In the Africa region, grain sorghum is
consumed in the form of unleavened breads,
porridge, beverages, popped grain and chips (Dicko et
al., 2006).
Sorghum plants known to be very efficient in water
use because it has a deep and extensive root system
(Dicko et al., 2006). Sorghum requires less water
that is 84% compared with the corn needs to produce
an equivalent amount of dry matter (Reddy et al.,
2007b). Dry land area in Indonesia reached about 148
million ha, of which 102.8 million ha of land is an acid
soil (Mulyani et al., 2004). The use of acid dry land
for agricultural will significantly increase food
production.
Acid dry land is characterized by acidic pH and low
soil fertility. At pH under 5.5 the solubility several
elements, such as aluminum (Al), is very high and can
be toxic to plants. In addition to Al toxicity, another
limiting factor in crop production in acid soils is low
soil fertility due to nutrient deficiency such as
phosphorus (P), calcium (Ca) and magnesium (Mg)
(Marschner, 1995). Binding of P by Al causes low
availability of P in acid soils and causes P deficiency
in plants. Deficiency of P compared to Al toxicity is
the main cause of the low productivity of sorghum in
acid soils of West Africa (Doumbia et al., 1993).
Plants have developed numerous morphological,
physiological, biochemical and molecular responses
to cope with growth under Pi-limiting conditions,
including changes in root morphology, improved Pi
uptake efficiency, and changes in metabolism
(Ragothama, 1999; Vance et al., 2003). The
development of adaptive varieties is an important
factor in low input sustainable agriculture.
Studies on the mechanism and efficiency of nutrient
uptake generally use nutrient solution (Blum, 1988),
as an experiment in the nutrient solution is more
accurate and controlled. Two experiment was done in
this study, in nutrient solution and under acid soil
condition. The purpose of this experiment was to
obtain information on the estimation of genetic
variability and heritability for characters of sorghum
in F2 segregating generations at seedling stage and in
the field under low P condition. Also to obtain
information on the gene actions of the traits related to
sorghum adaptation to low P.
Materials and methods
This study consisted of two experiments: 1. study the
inheritance of seedling characters of sorghum under
low P condition in nutrient solution, 2. study the
inheritance of agronomic characters under low P
condition in acid soil. The first experiment was
conducted in the green house of Bogor Agricultural
University from January - Februari 2013 and the
second experiment was conducted in acid soils of
Bogor District Experimental Field Tenjo, Bogor from
July to November 2014. The plant materials used in
this experiment were F2 segregating population
derived from the cross between B69 and Numbu.
Estimation of genetic variability for sorghum
seedling performance under low P condition
The experimental material comprised of 120 F2 progenies
and both of the parents each are 20 individu.
Composition of the nutrient solution used in these
experiments followed the method suggested by Ohki
(1987), it was 0.24 mM NH4NO3; 0.03 mM
(NH4)2SO4; 0.088 mM K2SO4; 0.38 mM KNO3; 1.27
mM Ca(NO3)2.4H2O; 0.27 mM Mg(NO3)2 .4H2O; 0.14
mM NaCl; 6.6 µM H3BO3; 5.1 µM MnSO4.4H2O; 0.61
µM ZnSO4.7H2O; 0.16 µM CuSO4.5H2O; 0.1 µM
Na2Mo7O9.7H2O; 45 µM FeSO4.7H2O-EDTA. The
concentration of P is given in the form of KH2PO4:
0.001 mM.
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 40
Each pot filled with 2 liters of medium. Water is lost
by transpiration is replaced by the addition of
distilled water. The pH of the solution was daily
monitored and maintained at 4.0±0.1 using HCl or
NaOH. One week old seedling was transferred to a
nutrient culture medium. Seedling wrapped with soft
foam and then inserted into the holes of styrofoam
and floated on nutrient solution. Each pot was
planted with one seedling. Harvesting is done on day
14 when the plant reaches five-leaf growth stage.
Plants were harvested and dried in an oven at a
temperature of 60oC for 72 hours and then weighted.
The observations were made for shoot length, root
length, shoot dry matter (SDM), root dry matter
(RDM), total dry matter (TDM), and shoot/root dry
weight ratio.
Estimation of genetic variability for agronomy
characters sorghum in F2 population under low P
condition in acid soil
The soil in the field is classified as acid soil with pH =
5.3 and P2O5 = 7.5 ppm. The parental lines B69 (P1),
Numbu (P2) and F2 were evaluated under acid soil
conditions. Plant materials for this study consist of 400
individu F2 generation and both of the parents each are 20
individu. All the agronomic practices such as land
preparations, fertilizer application, weeding were
done based on recommended practices. Fertilizers
were applied as follows : 69 kg/ha of N, 36 kg/ha of
P2O5 and 60 kg/ha of K2O. Inter and intra row
spacing was 70 cm and 15 cm. The seeds were sown
and after emergence thinned to one plant per hole.
Data were collected for the following traits: Plant
height (cm), Stem diameter (mm), Panicle length
(cm), Panicle weight (g), Grain weight (g), and 100
seed weight (g).
Statistical analysis
Analysis of variance and heritability in broad sense
was determined according to the formula given by
Allard (1960).
Variance
Phenotypic variance
Environment variance
Genotypic variance
The estimates of broad-sense heritability (h2bs) were
calculated for each trait using the formula:
Stanfield (1983) classified heritability value as high=
h2 ≥ 0.50, moderate = 0.20 ≥ h2 ≥ 0.50, and low= h2 <
0.20.
The genotypic coefficients of variation (GCV) was
computed according to formula suggested by Knight
(1979).
σ2g = genotypic variance and x = mean value of
population.
Criteria: Low (0-10%), moderate (10-20%) and high
(> 20%).
Skweness was estimated using formula :
Skweness =
3
Kurtosis was estimated using formula :
Kurtosis =
4
Yi = value of genotype-i, s = standart deviation, N =
Number of data collected
The stastitical tests of significance of skweness and
kurtosis was perform by comparing the skweness and
kurtosis with their standard error. The value of
skweness, kurtosis and standard error was computed
using SPSS 15.0.
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 41
Results and discussion
Genetic variability for sorghum seedling
performance under low P condition
Mean value of F2, B69 and Numbu genotypes at
seedling stage under low P condition are presented at
Table 1.
Table 1. Mean performance and genetic parameters of seedling characters in F2 population under low P
condition in nutrient culture.
Characters B69 Numbu F2 mean F2 range h2bs (%) GCV (%)
Shoot length (cm) 38.67 42.10 49.22 32.00 – 65.00 23.16 5.80
Root length (cm) 31.63 32.97 44.13 20.00 – 65.00 30.77 10.70
Shoot dry weight (g) 0.080 0.097 0.125 0.068 – 0.192 58.33 14.97
Root dry weight (g) 0.029 0.040 0.053 0.033 – 0.079 50 11.93
Total dry weight (g) 0.109 0.138 0.178 0.101 – 0.252 60 13.76
Shoot/root ratio 2.779 2.441 2.342 1.448 – 3.245 0 0
The results showed that mean value of Numbu higher
than B69 for shoot dry weight, root dry weight, total
dry weight and shoot/root dry weight ratio, but not
statistically significant for shoot length and root
length. Tasliah et al. (2011) reported that phosphorus
experiment in upland rice gave small effect on root
length, but Al toxicity significantly reduced root
length. Size and root system can be used as criteria
for phosphorus deficiency tolerance (Wissuwa, 2003),
and high root volume or root dry weight indicate P
deficiency tolerant (Tasliah et. al., 2011). Yaseen and
Hussain (2000) reported that most of the genotypes
adapted to P stress conditions increases their root
growth, which in turn increase the above ground
plant growth.
In this study, mean value of F2 population was higher
than the parental lines for most of the characters
except shoot /root dry weight ratio. It indicates that
there was possibility to obtain individu with better
performance which indicated by higher mean value
compared to parental lines.
The heritability and genetic coefficient of variance
(GCV) are presented at Table 1. The heritability
values were high for shoot dry weight and total dry
weight. Moderate values of heritability were observed
for shoot length, root length and root dry weight. It
indicates that the selection for adaptation to low P
condition will be effective for shoot dry weight and
total dry weight.
Moderate GCV values were recorded for root length,
shoot dry weight, root dry weight and total dry
weight. Low GCV values were recorded for shoot
length and shoot/root dry weight ratio. A high
estimate of heritability together with moderate GCV
was recorded for shoot dry weight and total dry
weight. It indicates that shoot dry weight and total
dry weight can be used for criteria selection in low P
tolerant at seedling stage.
Frequency distribution and gene actions of seedling
characters under low P condition
The skweness analysis of F2 distribution provides
information about nature of gene action (Fisher et al.,
1932), whereas kurtosis provides information on the
number of genes controlling the traits (Robson, 1956).
For a normal distribution, skweness is equal to zero in
the absence of gene interaction. The positive
skweness is assosiated with complementary gene
interactions while negative skweness is assosiated
with duplicate gene interactions (Roy, 2000).
Skweness describes the degree of departure of a
distribution from symmetry and kurtosis
characterizes the peakedness of a distribution. The
traits with leptokurtic distribution are usually under
the control of few segregating genes and the traits
with platykurtic distribution is controlled by many
genes. The positive value of kurtosis indicated
leptokurtic curve and negative kurtosis indicated
platykurtic curve (Jayaramachandran et al., 2010).
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 42
Frequency distribution for sorghum characters in
seedling stage are presented in Fig. 1. The characters
observed showed continue distribution, indicating
they are poligenic traits. The skweness and kurtosis
values are presented in Table 2.
Table 2. Skewness and kurtosis value of seedling characters in F2 population under low P condition in nutrient
culture.
Character Skewness Gene action Kurtosis No. Of genes
Shoot length (cm) 0.200 ns Aditif -0.09 ns Many
Root length (cm) -0.312 ns Aditif 0.30 ns Many
Shoot dry weight (g) 0.452 * Aditif + CE -0.23 ns Many
Root dry weight (g) 0.21 ns Aditif -0.29 ns Many
Total dry weight (g) 0.26 ns Aditif 0.57 ns Many
Shoot/root ratio 0.38 ns Aditif -0.54 ns Many
Note: * = significant at P>0.05 and ns = not statistically significant.
CE = complementary epistasis.
The results showed that most of the characters
observed in this study had non significant of skweness
and non significant of kurtosis, indicating the absence
of gene interaction. These traits were controlled by
additive gene action and suggested the involvement of
many number of segregating genes. On the other
hand, shoot dry weight had positive significant of
skweness, indicating the present of complementary
epistasis. It means the trait is controlled not only by
several genes with individual effects (additive effects)
but also by interactions between genes (epistasis).
Complementary gene interaction can occur when two
or more genes code for enzymes that function at
different point in the same pathway, so that
functioning products from all genes in the set are
needed to produce the final product (Holland, 2001).
Genetic variability for agronomy characters
sorghum in F2 population under low P condition in
acid soil
The mean values recorded for agronomic characters
in F2, B69 (P1) and Numbu (P2) genotypes were
presented in Table 3. Mean performance of F2 for
plant height, panicle weight, grain yield per plant and
100 seed weight were found to be intermediate
between parental values. The F2 showed a lower
mean value for stem diameter when compared to
parents, but it showed a wide range from 4.64 to
24.56. The mean value for panicle length in F2 was
higher than parents. Based on the range of F2
population, indicating there was transgressive
segregants in F2 population. According to Rieseberg
et al. (1999), transgressive segregation is the
production of F2 or later generation hybrid progeny
with phenotypes that can fall outside the phenotypic
range of the parental populations from which they
were derived.
The criteria to be considered while evaluating a
population is the magnitude of genetic variation and
heritability of the characters. The estimates of
heritability and genotypic coefficient of variation
(GCV) are presented in Table 3.
Table 3. The value of mean, range, broad sense heritability (h2
bs) and genotypic coefficient of variation (GCV) of
agronomic characters of F2 population under low P condition in acid soil.
Character B69 Numbu F2 mean F2 range h2bs (%) GCV (%)
Plant height (cm) 163.33 234.53 206.09 124.0 – 287.0 58.82 9.64
Stem diameter (mm) 14.83 17.07 13.45 4.64 – 24.56 75.33 22.30
Panicle lenght (cm) 19.00 18.07 19.87 10.50 – 27.00 88.49 13.56
Panicle weight (g) 39.31 76.54 60.64 10.28 – 143.07 82.10 36.07
Grain yield / plant (g) 31.20 62.75 49.47 8.18 – 120.23 79.61 35.67
100 seed weight (g) 2.54 3.17 2.72 1.50 – 3.64 65.16 11.68
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 43
The value of GCV were high for stem diameter,
panicle weight and grain yield per plant. Moderate
values of GCV were observed for panicle length and
100 seed weight. Low GCV observed for plant height.
The extent of genetic variability gives the better
chance in plant breeding through selection (Yunianti
et al., 2010).
High heritability estimates were observed for most of
the traits except plant height that showed moderate
value. The high heritability indicating the possibility
of positive response to selection. It likelihood of
transferring the heritable components from parents
to offspring during breeding process. The
effectiveness of selections for any character depends
on the extent of genetic variability and the extent to
which the characters can be transferable from one
generation to the next (Sami et al., 2013).
The results from this study showed that stem
diameter, panicle weight and grain yield per plant
under low P condition in acid soil had high
heritability and wide GCV value. Therefore these
characters can be used as the selection criteria in
selecting sorghum genotypes for low P tolerant in acid
soil.
Frequency distributions and gene actions in F2
population under low P condition in acid soil
Frequency distribution for agronomic characters
under low P in F2 population showed continues
distribution (Fig. 2). It indicates that these characters
were controlled by many genes (polygenic). The
information on frequency distributions can be used to
identify transgressive segregants and to identify gene
actions for the quantitative traits. The gene action
can be estimated through skewness and kurtosis. Roy
(2000) indicated that by observing the skweness of
frequency distribution of F2 generation plants, one
can determined the gene action.
The skewness and kurtosis values for agronomic
characters are presented in Table 4.
Table 4. Skewness and kurtosis values of agronomic characters of F2 population under low P condition in acid
soil.
Character Skewness Gene action Kurtosis No. of genes
Plant height (cm) -0.047 ns Aditif 0.004 ns Many
Stem diameter (mm) -0.132 ns Aditif -0.418 ns Many
Panicle lenght (cm) -0.215 ns Aditif -0.073 ns Many
Panicle weight (g) 0.202 ns Aditif -0.234 ns Many
Grain yield per plant (g) 0.221 ns Aditif -0.231 ns Many
100 seed weight (g) -0.184 ns Aditif -0.058 ns Many
Note: ns = not statistically significant.
Based on the skewness values, all of the agronomy
characters in this study were influenced by additive
gene action. The skewness value was not significantly
different from zero, indicating that epistasis appears
to be absent for the characters. Similar result has
been reported by Mary et al. (2015) which showed
that heading date, number of leaves, plant height and
100 grain weight in sorghum are controlled by
additive gene action. None of the kurtosis value in F2
population was different from zero. It means that all
of the characters are controlled by many genes.
Eventhough it is controlled by many genes, but there
is no epistasis effect. It indicates that loci affecting
the characters are not interacting.
Jayaramachandran et al. (2010) reported that in
segregating generations, skewness could result when
certain combinations of genes are lethal, presence of
incomplete linkage of certain genes, presence of
epistasis and one gene has a much larger effect than
others. Kurtosis will occur if either of few genes are
contributing to the phenotypic distributions or there
are inequalities in the additive genetic effect at
different loci.
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 44
Fig. 1. Distribution of seedling characters in F2 population under low P condition. in nutrient culture. P1=B69,
P2=Numbu.
Fig. 2. Distribution of agronomic traits in F2 population under low P condition in acidsoil. P1=B69, P2=Numbu.
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 45
Conclusion
Seedling characters of sorghum such as shoot length,
root length, root dry weight, total dry weight and
shoot/root dry weight ratio were controlled by
additive gene action, whereas shoot dry weight is
influenced by complementary epistasis gene action.
Shoot dry weight and total dry weight can be used for
selection criteria in low P condition at seedling stage
because of high heritability and moderate GCV.
Agronomy characters of sorghum in acid soil such as
plant height, stem diameter, panicle length, panicle
weight, grain yield per plant and 100 seed weight
were controlled by additive gene action. Stem
diameter, panicle weight and grain yield per plant had
high broad sense heritability and wide GCV, thus they
can be used as the selection criteria in selecting
sorghum genotypes for low P tolerant in acid soil.
References
Allard RW. 1960. Principles of Plant Breeding. New
York, John Wiley & Sons, 485 p.
Beti YA, Ispandi A, Sudaryono. 1990. Sorghum.
Monograf Balittan Malang. No. 5. Malang, Balai
Penelitian Tanaman Pangan.
Blum A. 1988. Plant Breeding for Stress
Environment. Boca Raton, CRC Press, 223 p
Dicko MH, Gruppen H, Traore AS, Voragen
AGJ, Van Berkel WJH. 2006. Sorghum grain as
human food in Africa, relevance of content of starch
and amylase activities. African Journal of
Biotechnology 5(5), 384-395.
Doumbia MD, Hossner LR, Onken AB. 1993.
Variable Sorghum Growth in Acid Soils of Subhumid
West Africa. Arid Soil Research and Rehabilitation 7,
335 – 346.
Fisher RA, Immer FR, Tedin O. 1932. The
genetical interpretation of statistics of the third
degree in the study of quantitative inheritance.
Genetics 17, 107-124.
Holland JB. 2001. Epistasis and Plant Breeding.
In : Janick J, Ed. Plant Breeding Reviews, Vol. 21.
John Wiley & Sons Inc., 27-92.
Jayaramachandran M, Kumaravadivel N,
Eapen S, Kandasamy G. 2010. Gene action for
yield attributing characters in segregating generation
(M2) of sorghum (Sorghum bicolor L.). Electric
Journal Plant Breeding 1(4), 802-805.
Knight R. 1979. Quantitative genetic statistics and
plant breeding. In Knight R, Ed. Plant Breeding.
Brisbane Australian Vice-Chancellors Committee, 41-
76 .
Marschner H. 1995. Mineral Nutrition of Higher
Plants. London, Academic Press, 889 p
Mary YY, Esther I, Aba DA, Abdullahi US.
2015. Inheritance of low Phytate in africa biofortified
sorghum. Academic Research International 6(2), 55-
64.
Mulyani A, Hikmatullah, Subagyo H. 2004.
Karakteristik dan potensi tanah masam lahan kering
di Indonesia. In Prosiding Simposium Nasional
Pendayagunaan Tanah Masam. Pusat Penelitian dan
Pengembangan Tanah dan Agroklimat, Bogor. 1 – 32.
Ohki K. 1987. Aluminium stress on sorghum
growth and nutrient relationships. Plant and Soil
98, 195 -202.
Raghothama KG. 1999. Phosphate acquisition.
Annual Review of Plant Phisiology and Plant
Molecular Biology 50, 665–693.
Reddy BVS, Borikar ST, Sahib H. 2007a.
ICRISAT- Indian NARS partnership sorghum
improvement research: strategies and impact.
Current Science 92(7), 909-915.
Reddy BVS, Kumar AA, Ramesh S. 2007. Sweet
sorgum: A water saving bioenergy crop. International
conference on linkages between energy and water
Int. J. Agri. & Agri. R.
Sulistyowati et al.
Page 46
management for agriculture in developing countries.
ICRISAT. 12 p.
Rieseberg LH, Archer MA, Wayne RK. 1999.
Transgressive segregation, adaptation and speciation.
Heredity 83, 363-372.
Robson DS. 1956. Application of K4 statistics to
genetic variance component analysis. Biometrics 12,
433-444.
Sami RA, Yeye MY, Ishiyaku MF, Usman IS.
2013. Heritabiliy studies in some sweet sorghum
(Sorghum bicolor. L. Moench) genotypes. Journal of
Biology, Agricultural and Healthcare 3(17), 49-51.
Schober TJ, Bean SR, Boyle DL. 2007. Gluten-
free sorghum bread improved by sourdough
fermentation: biochemical, rheological, and
microstructural background. Journal of Agricultural
and Food Chemistry 55, 5137-5146.
Stanfield WD. 1983. Theory and Problem of
Genetics. Second Edition. New York, McGraw- Hill.
Tasliah, Suhartini T, Prasetiyono J, Somantri
IH, Bustamam M. 2011. Respon genotipe padi
gogo terhadap defisiensi P. Penelitian Pertanian
Tanaman Pangan 30(3), 172-181.
Vance CP, Stone CE, Allan DL. 2003.
Phosphorus acquisition and use: Critical adaptations
by plants for securing a nonrenewable resource. New
Phytologist 157, 423–447.
Wissuwa M. 2003. How do plants achieve
tolerance to phosphorus deficiency? Small causes
with big effect. Plant Physiology 133, 1947 – 1958.
Yaseen M, Hussain T. 2000. Screening tehcnique
for phosphorus deficiency stress tolerance in wheat
genotypes. Pakistan Journal of Biologycal Sciences
3(6), 1046-1048.
Yunianti R, Sastrosumardjo S, Sujiprihati S,
Surahman M, Hidayat SH. 2010. Kriteria seleksi
untuk perakitan varietas cabai tahan Phytophthora
capsici Leonian. Journal of Agronomy Indonesia
38(2), 122-129.

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Estimation of genetic parameters and gene actions of sorghum [Sorghum bicolor (L.) Moench] tolerance to low p condition

  • 1. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 38 RESEARCH PAPER OPEN ACCESS Estimation of genetic parameters and gene actions of sorghum [Sorghum bicolor (L.) Moench] tolerance to low p condition Yuli Sulistyowati, Trikoesoemaningtyas* , Didy Sopandie, Sintho Wahyuning Ardie, Satya Nugroho Department of Agronomy and Horticulture, Bogor Agricultural University, Bogor, Indonesia Article published on September 09, 2015 Key words: Heritability, Genetic parameter, Additive, Epistasis, Sorghum. Abstract A study of sorghum tolerance to low P condition was conducted in two experiments : (1) in nutrient solution and (2) in acid soil. The aim of this study was to obtain information on the genetic variability and heritability of agronomic characters that could be used as selection criteria in low P condition and to obtain information on gene action that controlled agronomic characters of sorghum. The plant materials used in this experiment were F2 segregating population derived from the cross between B69 and Numbu. The first experiment was conducted in the green house of Bogor Agricultural University. B69, Numbu and F2 population were grown hidroponically for 14 days. Composition of the nutrient solution used in the experiment followed the method suggested by Ohki with modification of P concentration. P is given in the form of KH2PO4: 0.001 mM. The results showed that shoot dry weight (SDW) and total dry weight (TDW) had high estimate of heritability and moderate genotypic coefficient of variance (GCV), thus these characters can be used for criteria selection for low P tolerance at seedling stage. The significant value of skweness from the distribution shoot dry weight in F2 segregants, indicate the presence of complementary epistasis gene action, whereas normal distribution of total dry weight showed additive gene action. The second experiment was conducted in acid soils of Bogor District Experimental Field Tenjo, Bogor. The results showed that stem diameter, panicle weight and grain yield per plant had high heritability and wide GCV value, indicating these characters can be used as the selection criteria in selecting sorghum genotypes for low P tolerance in acid soil. Based on the skewness values, all of the agronomy characters observed in this study were influenced by additive gene action. * Corresponding Author: Trikoesoemaningtyas  trikadytia@gmail.com@yahoo.com International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub.net Vol. 7, No. 3, p. 38-46, 2015
  • 2. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 39 Introduction Sorghum is the fifth major food crops in the world after rice, wheat, maize and barley (Reddy et al., 2007a). Sorghum is a potential source of carbohydrates because it has a relatively high carbohydrate content of about 73 g/100 g of edible materials. Sorghum also contains protein, calcium and vitamins B1 higher than rice and corn (Beti et al., 1990). Another advantage of sorghum is gluten content and a low glycemic index so it is suitable for consumers with special nutritional needs (Schober et al., 2007). In the Africa region, grain sorghum is consumed in the form of unleavened breads, porridge, beverages, popped grain and chips (Dicko et al., 2006). Sorghum plants known to be very efficient in water use because it has a deep and extensive root system (Dicko et al., 2006). Sorghum requires less water that is 84% compared with the corn needs to produce an equivalent amount of dry matter (Reddy et al., 2007b). Dry land area in Indonesia reached about 148 million ha, of which 102.8 million ha of land is an acid soil (Mulyani et al., 2004). The use of acid dry land for agricultural will significantly increase food production. Acid dry land is characterized by acidic pH and low soil fertility. At pH under 5.5 the solubility several elements, such as aluminum (Al), is very high and can be toxic to plants. In addition to Al toxicity, another limiting factor in crop production in acid soils is low soil fertility due to nutrient deficiency such as phosphorus (P), calcium (Ca) and magnesium (Mg) (Marschner, 1995). Binding of P by Al causes low availability of P in acid soils and causes P deficiency in plants. Deficiency of P compared to Al toxicity is the main cause of the low productivity of sorghum in acid soils of West Africa (Doumbia et al., 1993). Plants have developed numerous morphological, physiological, biochemical and molecular responses to cope with growth under Pi-limiting conditions, including changes in root morphology, improved Pi uptake efficiency, and changes in metabolism (Ragothama, 1999; Vance et al., 2003). The development of adaptive varieties is an important factor in low input sustainable agriculture. Studies on the mechanism and efficiency of nutrient uptake generally use nutrient solution (Blum, 1988), as an experiment in the nutrient solution is more accurate and controlled. Two experiment was done in this study, in nutrient solution and under acid soil condition. The purpose of this experiment was to obtain information on the estimation of genetic variability and heritability for characters of sorghum in F2 segregating generations at seedling stage and in the field under low P condition. Also to obtain information on the gene actions of the traits related to sorghum adaptation to low P. Materials and methods This study consisted of two experiments: 1. study the inheritance of seedling characters of sorghum under low P condition in nutrient solution, 2. study the inheritance of agronomic characters under low P condition in acid soil. The first experiment was conducted in the green house of Bogor Agricultural University from January - Februari 2013 and the second experiment was conducted in acid soils of Bogor District Experimental Field Tenjo, Bogor from July to November 2014. The plant materials used in this experiment were F2 segregating population derived from the cross between B69 and Numbu. Estimation of genetic variability for sorghum seedling performance under low P condition The experimental material comprised of 120 F2 progenies and both of the parents each are 20 individu. Composition of the nutrient solution used in these experiments followed the method suggested by Ohki (1987), it was 0.24 mM NH4NO3; 0.03 mM (NH4)2SO4; 0.088 mM K2SO4; 0.38 mM KNO3; 1.27 mM Ca(NO3)2.4H2O; 0.27 mM Mg(NO3)2 .4H2O; 0.14 mM NaCl; 6.6 µM H3BO3; 5.1 µM MnSO4.4H2O; 0.61 µM ZnSO4.7H2O; 0.16 µM CuSO4.5H2O; 0.1 µM Na2Mo7O9.7H2O; 45 µM FeSO4.7H2O-EDTA. The concentration of P is given in the form of KH2PO4: 0.001 mM.
  • 3. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 40 Each pot filled with 2 liters of medium. Water is lost by transpiration is replaced by the addition of distilled water. The pH of the solution was daily monitored and maintained at 4.0±0.1 using HCl or NaOH. One week old seedling was transferred to a nutrient culture medium. Seedling wrapped with soft foam and then inserted into the holes of styrofoam and floated on nutrient solution. Each pot was planted with one seedling. Harvesting is done on day 14 when the plant reaches five-leaf growth stage. Plants were harvested and dried in an oven at a temperature of 60oC for 72 hours and then weighted. The observations were made for shoot length, root length, shoot dry matter (SDM), root dry matter (RDM), total dry matter (TDM), and shoot/root dry weight ratio. Estimation of genetic variability for agronomy characters sorghum in F2 population under low P condition in acid soil The soil in the field is classified as acid soil with pH = 5.3 and P2O5 = 7.5 ppm. The parental lines B69 (P1), Numbu (P2) and F2 were evaluated under acid soil conditions. Plant materials for this study consist of 400 individu F2 generation and both of the parents each are 20 individu. All the agronomic practices such as land preparations, fertilizer application, weeding were done based on recommended practices. Fertilizers were applied as follows : 69 kg/ha of N, 36 kg/ha of P2O5 and 60 kg/ha of K2O. Inter and intra row spacing was 70 cm and 15 cm. The seeds were sown and after emergence thinned to one plant per hole. Data were collected for the following traits: Plant height (cm), Stem diameter (mm), Panicle length (cm), Panicle weight (g), Grain weight (g), and 100 seed weight (g). Statistical analysis Analysis of variance and heritability in broad sense was determined according to the formula given by Allard (1960). Variance Phenotypic variance Environment variance Genotypic variance The estimates of broad-sense heritability (h2bs) were calculated for each trait using the formula: Stanfield (1983) classified heritability value as high= h2 ≥ 0.50, moderate = 0.20 ≥ h2 ≥ 0.50, and low= h2 < 0.20. The genotypic coefficients of variation (GCV) was computed according to formula suggested by Knight (1979). σ2g = genotypic variance and x = mean value of population. Criteria: Low (0-10%), moderate (10-20%) and high (> 20%). Skweness was estimated using formula : Skweness = 3 Kurtosis was estimated using formula : Kurtosis = 4 Yi = value of genotype-i, s = standart deviation, N = Number of data collected The stastitical tests of significance of skweness and kurtosis was perform by comparing the skweness and kurtosis with their standard error. The value of skweness, kurtosis and standard error was computed using SPSS 15.0.
  • 4. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 41 Results and discussion Genetic variability for sorghum seedling performance under low P condition Mean value of F2, B69 and Numbu genotypes at seedling stage under low P condition are presented at Table 1. Table 1. Mean performance and genetic parameters of seedling characters in F2 population under low P condition in nutrient culture. Characters B69 Numbu F2 mean F2 range h2bs (%) GCV (%) Shoot length (cm) 38.67 42.10 49.22 32.00 – 65.00 23.16 5.80 Root length (cm) 31.63 32.97 44.13 20.00 – 65.00 30.77 10.70 Shoot dry weight (g) 0.080 0.097 0.125 0.068 – 0.192 58.33 14.97 Root dry weight (g) 0.029 0.040 0.053 0.033 – 0.079 50 11.93 Total dry weight (g) 0.109 0.138 0.178 0.101 – 0.252 60 13.76 Shoot/root ratio 2.779 2.441 2.342 1.448 – 3.245 0 0 The results showed that mean value of Numbu higher than B69 for shoot dry weight, root dry weight, total dry weight and shoot/root dry weight ratio, but not statistically significant for shoot length and root length. Tasliah et al. (2011) reported that phosphorus experiment in upland rice gave small effect on root length, but Al toxicity significantly reduced root length. Size and root system can be used as criteria for phosphorus deficiency tolerance (Wissuwa, 2003), and high root volume or root dry weight indicate P deficiency tolerant (Tasliah et. al., 2011). Yaseen and Hussain (2000) reported that most of the genotypes adapted to P stress conditions increases their root growth, which in turn increase the above ground plant growth. In this study, mean value of F2 population was higher than the parental lines for most of the characters except shoot /root dry weight ratio. It indicates that there was possibility to obtain individu with better performance which indicated by higher mean value compared to parental lines. The heritability and genetic coefficient of variance (GCV) are presented at Table 1. The heritability values were high for shoot dry weight and total dry weight. Moderate values of heritability were observed for shoot length, root length and root dry weight. It indicates that the selection for adaptation to low P condition will be effective for shoot dry weight and total dry weight. Moderate GCV values were recorded for root length, shoot dry weight, root dry weight and total dry weight. Low GCV values were recorded for shoot length and shoot/root dry weight ratio. A high estimate of heritability together with moderate GCV was recorded for shoot dry weight and total dry weight. It indicates that shoot dry weight and total dry weight can be used for criteria selection in low P tolerant at seedling stage. Frequency distribution and gene actions of seedling characters under low P condition The skweness analysis of F2 distribution provides information about nature of gene action (Fisher et al., 1932), whereas kurtosis provides information on the number of genes controlling the traits (Robson, 1956). For a normal distribution, skweness is equal to zero in the absence of gene interaction. The positive skweness is assosiated with complementary gene interactions while negative skweness is assosiated with duplicate gene interactions (Roy, 2000). Skweness describes the degree of departure of a distribution from symmetry and kurtosis characterizes the peakedness of a distribution. The traits with leptokurtic distribution are usually under the control of few segregating genes and the traits with platykurtic distribution is controlled by many genes. The positive value of kurtosis indicated leptokurtic curve and negative kurtosis indicated platykurtic curve (Jayaramachandran et al., 2010).
  • 5. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 42 Frequency distribution for sorghum characters in seedling stage are presented in Fig. 1. The characters observed showed continue distribution, indicating they are poligenic traits. The skweness and kurtosis values are presented in Table 2. Table 2. Skewness and kurtosis value of seedling characters in F2 population under low P condition in nutrient culture. Character Skewness Gene action Kurtosis No. Of genes Shoot length (cm) 0.200 ns Aditif -0.09 ns Many Root length (cm) -0.312 ns Aditif 0.30 ns Many Shoot dry weight (g) 0.452 * Aditif + CE -0.23 ns Many Root dry weight (g) 0.21 ns Aditif -0.29 ns Many Total dry weight (g) 0.26 ns Aditif 0.57 ns Many Shoot/root ratio 0.38 ns Aditif -0.54 ns Many Note: * = significant at P>0.05 and ns = not statistically significant. CE = complementary epistasis. The results showed that most of the characters observed in this study had non significant of skweness and non significant of kurtosis, indicating the absence of gene interaction. These traits were controlled by additive gene action and suggested the involvement of many number of segregating genes. On the other hand, shoot dry weight had positive significant of skweness, indicating the present of complementary epistasis. It means the trait is controlled not only by several genes with individual effects (additive effects) but also by interactions between genes (epistasis). Complementary gene interaction can occur when two or more genes code for enzymes that function at different point in the same pathway, so that functioning products from all genes in the set are needed to produce the final product (Holland, 2001). Genetic variability for agronomy characters sorghum in F2 population under low P condition in acid soil The mean values recorded for agronomic characters in F2, B69 (P1) and Numbu (P2) genotypes were presented in Table 3. Mean performance of F2 for plant height, panicle weight, grain yield per plant and 100 seed weight were found to be intermediate between parental values. The F2 showed a lower mean value for stem diameter when compared to parents, but it showed a wide range from 4.64 to 24.56. The mean value for panicle length in F2 was higher than parents. Based on the range of F2 population, indicating there was transgressive segregants in F2 population. According to Rieseberg et al. (1999), transgressive segregation is the production of F2 or later generation hybrid progeny with phenotypes that can fall outside the phenotypic range of the parental populations from which they were derived. The criteria to be considered while evaluating a population is the magnitude of genetic variation and heritability of the characters. The estimates of heritability and genotypic coefficient of variation (GCV) are presented in Table 3. Table 3. The value of mean, range, broad sense heritability (h2 bs) and genotypic coefficient of variation (GCV) of agronomic characters of F2 population under low P condition in acid soil. Character B69 Numbu F2 mean F2 range h2bs (%) GCV (%) Plant height (cm) 163.33 234.53 206.09 124.0 – 287.0 58.82 9.64 Stem diameter (mm) 14.83 17.07 13.45 4.64 – 24.56 75.33 22.30 Panicle lenght (cm) 19.00 18.07 19.87 10.50 – 27.00 88.49 13.56 Panicle weight (g) 39.31 76.54 60.64 10.28 – 143.07 82.10 36.07 Grain yield / plant (g) 31.20 62.75 49.47 8.18 – 120.23 79.61 35.67 100 seed weight (g) 2.54 3.17 2.72 1.50 – 3.64 65.16 11.68
  • 6. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 43 The value of GCV were high for stem diameter, panicle weight and grain yield per plant. Moderate values of GCV were observed for panicle length and 100 seed weight. Low GCV observed for plant height. The extent of genetic variability gives the better chance in plant breeding through selection (Yunianti et al., 2010). High heritability estimates were observed for most of the traits except plant height that showed moderate value. The high heritability indicating the possibility of positive response to selection. It likelihood of transferring the heritable components from parents to offspring during breeding process. The effectiveness of selections for any character depends on the extent of genetic variability and the extent to which the characters can be transferable from one generation to the next (Sami et al., 2013). The results from this study showed that stem diameter, panicle weight and grain yield per plant under low P condition in acid soil had high heritability and wide GCV value. Therefore these characters can be used as the selection criteria in selecting sorghum genotypes for low P tolerant in acid soil. Frequency distributions and gene actions in F2 population under low P condition in acid soil Frequency distribution for agronomic characters under low P in F2 population showed continues distribution (Fig. 2). It indicates that these characters were controlled by many genes (polygenic). The information on frequency distributions can be used to identify transgressive segregants and to identify gene actions for the quantitative traits. The gene action can be estimated through skewness and kurtosis. Roy (2000) indicated that by observing the skweness of frequency distribution of F2 generation plants, one can determined the gene action. The skewness and kurtosis values for agronomic characters are presented in Table 4. Table 4. Skewness and kurtosis values of agronomic characters of F2 population under low P condition in acid soil. Character Skewness Gene action Kurtosis No. of genes Plant height (cm) -0.047 ns Aditif 0.004 ns Many Stem diameter (mm) -0.132 ns Aditif -0.418 ns Many Panicle lenght (cm) -0.215 ns Aditif -0.073 ns Many Panicle weight (g) 0.202 ns Aditif -0.234 ns Many Grain yield per plant (g) 0.221 ns Aditif -0.231 ns Many 100 seed weight (g) -0.184 ns Aditif -0.058 ns Many Note: ns = not statistically significant. Based on the skewness values, all of the agronomy characters in this study were influenced by additive gene action. The skewness value was not significantly different from zero, indicating that epistasis appears to be absent for the characters. Similar result has been reported by Mary et al. (2015) which showed that heading date, number of leaves, plant height and 100 grain weight in sorghum are controlled by additive gene action. None of the kurtosis value in F2 population was different from zero. It means that all of the characters are controlled by many genes. Eventhough it is controlled by many genes, but there is no epistasis effect. It indicates that loci affecting the characters are not interacting. Jayaramachandran et al. (2010) reported that in segregating generations, skewness could result when certain combinations of genes are lethal, presence of incomplete linkage of certain genes, presence of epistasis and one gene has a much larger effect than others. Kurtosis will occur if either of few genes are contributing to the phenotypic distributions or there are inequalities in the additive genetic effect at different loci.
  • 7. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 44 Fig. 1. Distribution of seedling characters in F2 population under low P condition. in nutrient culture. P1=B69, P2=Numbu. Fig. 2. Distribution of agronomic traits in F2 population under low P condition in acidsoil. P1=B69, P2=Numbu.
  • 8. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 45 Conclusion Seedling characters of sorghum such as shoot length, root length, root dry weight, total dry weight and shoot/root dry weight ratio were controlled by additive gene action, whereas shoot dry weight is influenced by complementary epistasis gene action. Shoot dry weight and total dry weight can be used for selection criteria in low P condition at seedling stage because of high heritability and moderate GCV. Agronomy characters of sorghum in acid soil such as plant height, stem diameter, panicle length, panicle weight, grain yield per plant and 100 seed weight were controlled by additive gene action. Stem diameter, panicle weight and grain yield per plant had high broad sense heritability and wide GCV, thus they can be used as the selection criteria in selecting sorghum genotypes for low P tolerant in acid soil. References Allard RW. 1960. Principles of Plant Breeding. New York, John Wiley & Sons, 485 p. Beti YA, Ispandi A, Sudaryono. 1990. Sorghum. Monograf Balittan Malang. No. 5. Malang, Balai Penelitian Tanaman Pangan. Blum A. 1988. Plant Breeding for Stress Environment. Boca Raton, CRC Press, 223 p Dicko MH, Gruppen H, Traore AS, Voragen AGJ, Van Berkel WJH. 2006. Sorghum grain as human food in Africa, relevance of content of starch and amylase activities. African Journal of Biotechnology 5(5), 384-395. Doumbia MD, Hossner LR, Onken AB. 1993. Variable Sorghum Growth in Acid Soils of Subhumid West Africa. Arid Soil Research and Rehabilitation 7, 335 – 346. Fisher RA, Immer FR, Tedin O. 1932. The genetical interpretation of statistics of the third degree in the study of quantitative inheritance. Genetics 17, 107-124. Holland JB. 2001. Epistasis and Plant Breeding. In : Janick J, Ed. Plant Breeding Reviews, Vol. 21. John Wiley & Sons Inc., 27-92. Jayaramachandran M, Kumaravadivel N, Eapen S, Kandasamy G. 2010. Gene action for yield attributing characters in segregating generation (M2) of sorghum (Sorghum bicolor L.). Electric Journal Plant Breeding 1(4), 802-805. Knight R. 1979. Quantitative genetic statistics and plant breeding. In Knight R, Ed. Plant Breeding. Brisbane Australian Vice-Chancellors Committee, 41- 76 . Marschner H. 1995. Mineral Nutrition of Higher Plants. London, Academic Press, 889 p Mary YY, Esther I, Aba DA, Abdullahi US. 2015. Inheritance of low Phytate in africa biofortified sorghum. Academic Research International 6(2), 55- 64. Mulyani A, Hikmatullah, Subagyo H. 2004. Karakteristik dan potensi tanah masam lahan kering di Indonesia. In Prosiding Simposium Nasional Pendayagunaan Tanah Masam. Pusat Penelitian dan Pengembangan Tanah dan Agroklimat, Bogor. 1 – 32. Ohki K. 1987. Aluminium stress on sorghum growth and nutrient relationships. Plant and Soil 98, 195 -202. Raghothama KG. 1999. Phosphate acquisition. Annual Review of Plant Phisiology and Plant Molecular Biology 50, 665–693. Reddy BVS, Borikar ST, Sahib H. 2007a. ICRISAT- Indian NARS partnership sorghum improvement research: strategies and impact. Current Science 92(7), 909-915. Reddy BVS, Kumar AA, Ramesh S. 2007. Sweet sorgum: A water saving bioenergy crop. International conference on linkages between energy and water
  • 9. Int. J. Agri. & Agri. R. Sulistyowati et al. Page 46 management for agriculture in developing countries. ICRISAT. 12 p. Rieseberg LH, Archer MA, Wayne RK. 1999. Transgressive segregation, adaptation and speciation. Heredity 83, 363-372. Robson DS. 1956. Application of K4 statistics to genetic variance component analysis. Biometrics 12, 433-444. Sami RA, Yeye MY, Ishiyaku MF, Usman IS. 2013. Heritabiliy studies in some sweet sorghum (Sorghum bicolor. L. Moench) genotypes. Journal of Biology, Agricultural and Healthcare 3(17), 49-51. Schober TJ, Bean SR, Boyle DL. 2007. Gluten- free sorghum bread improved by sourdough fermentation: biochemical, rheological, and microstructural background. Journal of Agricultural and Food Chemistry 55, 5137-5146. Stanfield WD. 1983. Theory and Problem of Genetics. Second Edition. New York, McGraw- Hill. Tasliah, Suhartini T, Prasetiyono J, Somantri IH, Bustamam M. 2011. Respon genotipe padi gogo terhadap defisiensi P. Penelitian Pertanian Tanaman Pangan 30(3), 172-181. Vance CP, Stone CE, Allan DL. 2003. Phosphorus acquisition and use: Critical adaptations by plants for securing a nonrenewable resource. New Phytologist 157, 423–447. Wissuwa M. 2003. How do plants achieve tolerance to phosphorus deficiency? Small causes with big effect. Plant Physiology 133, 1947 – 1958. Yaseen M, Hussain T. 2000. Screening tehcnique for phosphorus deficiency stress tolerance in wheat genotypes. Pakistan Journal of Biologycal Sciences 3(6), 1046-1048. Yunianti R, Sastrosumardjo S, Sujiprihati S, Surahman M, Hidayat SH. 2010. Kriteria seleksi untuk perakitan varietas cabai tahan Phytophthora capsici Leonian. Journal of Agronomy Indonesia 38(2), 122-129.