SIMILAR PROPERTIES AND GENETIC PARAMETERS OF LOCAL VARIETIES OF GOGO RICE

 

Sakka Samudin ¹

 

¹ Agrotechnology Study Program, Faculty of Agriculture, University of Tadulako, Indonesia

 

1. INTRODUCTION

Central Sulawesi is one of the provinces with a variety of local rice that needs to be preserved and utilized for sustainable development to improve the welfare of all the people. Local rice is potential germplasm as a source of genes that control important traits in rice plants. High genetic diversity in local rice can be utilized in rice breeding programs. It is necessary to continue to identify the important characteristics found in local rice to identify their potential in breeding programs Kartahadimaja et al. (2021).

The genetic resources of food plants are a very important asset because they contain the traits needed for the formation or improvement of the desired superior variety of attributes. However, genetic resources continuously deteriorate due to low attention to and utilization of genetic resources and changes in traditional agricultural practices. Introducing early maturing superior varieties to rice production centers in various regions can cause genetic erosion of local types in certain areas Shahbaz & Ashraf (2013). Genetic erosion due to modern agricultural practices has made collecting and conserving germplasm increasingly important Rabbani et al. (2008). To anticipate the erosion of plant genes, it is necessary to preserve plant genetic material through exploration, characterization, and estimation of genetic parameters Sadimantara et al. (2018), Maftuchah et al. (2021).

Exploration is the initial stage in plant breeding programs to search for genetic resources and increase genetic variability. Characterization is an activity to identify important traits that have economic value or are the characteristics of the variety in question. These activities are indispensable in plant breeding programs Anyaoha (2018). Genetic resource characterization will enrich the "gene pool" with new diversity from these local varieties for assembling new varieties Sadimantara et al. (2018). These genetic resources are useful for supporting sustainable food security Bakhtiar et al. (2011).

Characterization of qualitative and quantitative traits can be used to determine the similarity of traits between local varieties that have been explored. In addition, the estimation of genetic parameters is very important to develop high-yielding varieties. Developing high-yielding varieties through genetic improvement is one of the strategic ways to be done. Developing these varieties requires knowledge of genetic diversity, heritability, and correlation between traits. Knowledge of the genetic diversity of the traits that contribute to yield, the relationships between these traits, and their relationship to yield is indispensable for the success of a plant breeding program Choudhary et al. (2013). Genotypic and phenotypic diversity coefficients are useful in predicting the presence of diversity in germplasm Idris et al. (2012) . Genetic progress in selection depends primarily on the amount of genetic diversity Selvaraj & Nagarajan (2011).

Coefficients of genetic diversity, together with estimators of heritability, will give the best picture of the amount of progress expected from selection Selvaraj & Nagarajan (2011). Thus, knowledge about heritability and genetic progress is very important to determine the traits that can be passed on to further generations. The research results by Paikhomba et al. (2014) showed that heritability in a broad sense was high for plant height, 50% flowering age, panicle length, number of filled seeds per panicle, and seed yield.

The selection of expected genotypes in plant breeding programs is based on several criteria: yield and qualitative characteristics are very important final goals Kozak (2008). The relationship between yield and the traits contributing to yield also plays an important role in plant breeding Kiani & Nematzadeh (2012). The magnitude of the genetic diversity, heritability, and correlation between traits in the exploratory material needs to be known. This study aims to determine a). The similarity in nature, b). Genetic diversity coefficient, c). Heritability and d) correlation between characteristics of local varieties of upland rice.

 

2. MATERIALS AND METHODS

The research was carried out at the Sidondo Experimental Garden, Sidondo Village, Tambulava District, Sigi Regency, from April to August 2019, at an altitude of 150 meters above sea level. The materials used consist of leaf area meters, 24 local varieties from exploration results in Tojo Una-Una Regency, which is located between Coordinates 121° 46' 03.2 to 121° 50' 11.4" East

Longitude and 01° 16' 01, 6" to 01° 18' 58.4" South Latitude, Sigi Regency which is located at coordinates 1020'18" -1043'22" South Latitude and 119o4'04" -120007'53 East Longitude, Buol Toli-Toli Regency which is located at coordinates 0.30o-1.2o North Latitude and 120o-122.09o East Buju and Banggai Regency at coordinates 0030' - 2020' South Latitude and 122023' - 124020' East Longitude. The experiment used a randomized block design with 24 local varieties as a treatment consisting of three groups based on soil fertility, so there were 72 experimental plots. Each plot has an area of 1 meter x 2 meters; the distance between plots is 50 cm, while between groups is 1 meter. Spacing 20 cm x 25 cm, each experimental plot consisted of 40 plants. The land is cleared of grass and then plowed with the Mercator twice. They then made beds with a length of 2 meters, a width of 1 meter, and a height of 25 cm. Ten days before planting, manure is spread over the beds evenly at a dose of 20 tons/ha or the equivalent of 4 kg. plot-1. Furthermore, TSP and KCl fertilizers at a dose of 75 kg.ha-1 and 50 kg.ha-1 respectively was applied to each bed the day before planting using a scattering method. Planted by drilling method, 3 seeds per hole with a depth of 2 cm and thinned to one seed per hole at the age of 21 days. Urea fertilizer was given twice, doses of 100 kg.ha-1 in an array at 25 days after planting and 100 kg.ha-1 at 55 days after planting. Pest control uses the active ingredient Buprofezin (Apllaud 400 EC) at a dose of 2 ppm and Dharmabas 500 EC (active ingredient Fenobukarb) at 4 ppm. Harvesting is done with the criteria > 90% of the grain is yellow, and there is still a little green grain at the bottom of the panicle. The observed variables for cluster analysis were leaf surface, leaf angle, flag leaf angle, leaf collar color, leaf ear color, leaf node color, leaf blade color, leaf sheath color, leaf tongue color, stem angle, leaf tongue shape, segment color stem, panicle length, panicle type, lemma, and palea color, presence of hairs on lemma and palea, grain tip color, grain tip hair color, hair length, seed length, seed width, 1000 grain weight, seed thickness, grain calcification, rice length broke, broken rice shape, epidermis color, aroma, and amylose content. Cluster analysis based on morphological characters used Syst 8.0.3 software. Variables observed for genetic parameters included: plant height at harvest, stem diameter, number of tillers, number of productive tillers, flowering age, harvest age, leaf length, leaf width, leaf area, panicle length, seed length, seed width, seed thickness, number of seeds per panicle, the weight of 1000 grains, and yield. Analysis of genotypic and phenotypic diversity used formula of Hossain et al. (2015). Heritability using the formulation of Johnson et al. (1955) . The correlation coefficient of genotypic and phenotypic trait pairs was calculated according to the formulation of Al-Jibouri et al. (1958). The direct and indirect effects were calculated using the formulation of Dewey and Lu (1959) .

 

3. RESULTS AND DISCUSSION

3.1. Similarity of properties

The results of the cluster analysis showed that there were 3 clusters of grouping varieties, namely cluster 1 consisting of variety number 13, cluster 2 composed of 6 varieties number 8, 19, 20, 21,

22, and 23, while cluster 3 consisted of 17 varieties number 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 18 and 24 (Figure 1). Each variety is grouped based on similar characteristics. At a distance of 0.00 Euclid, all local types have different properties. At a distance of 6.1, two local varieties have the same features, namely varieties 24 and 16. At a length of 10.6, four varieties have the same characteristics, namely numbers 16, 17, 18, and 24. At a distance of 19.06, 7 types have the

same features: varieties 1, 2, 8, 11, 15, 19, and 22. According to Sokal (1963), the more similarities in morphological characters that are owned indicates that the closer the kinship is, the fewer the similarities in morphological characters—the more distant the kinship. Grouping based on observed properties shows that each cluster comes from a different ancestor or place. Anyaoha et al. (2018) reported grouping 77 rice genotypes based on their origin. Asante et al. (2019) observed 100 rice accessions and obtained 3 clusters, cluster 1 consisted of 77 genotypes, cluster 2 consisted of 12 genotypes, and Cluster 3 had 11 genotypes. The differences in these clusters are due to the origin of the accessions and their different genetic backgrounds. Sohrabi et al. (2012) evaluated 50 upland rice accessions and obtained 6 groups. The first cluster has 6 acquisitions, the second cluster has 10 accessions, cluster 3 has 27 accessions, cluster 4 has 2 accessions, cluster 5 has 4 accessions, and the group has only one acquisition.

Figure 1

 

Figure 1

 

3.2. Coefficient of Genetic Diversity

The values of the coefficient of variation, standard deviation, coefficient of genetic diversity, and coefficient of phenotypic diversity are presented in Table 1. The importance of the coefficient of gene diversity ranged from 1.00 to 20.20. This means that the data obtained is normally distributed. In addition, the data's standard deviation (standard deviation) ranges from 0.02 to 51.89. This normal deviation value is smaller than the average value, meaning that the data distribution meets the requirements for analysis. The coefficient of phenotypic variation was greater than the coefficient of genotypic variation for all observed traits. This shows that environmental factors are more dominant than genetic factors in the appearance of characteristics. This study's results align with the results obtained by Akter et al. (2010) on rice plants. The large coefficients of genotypic and phenotypic diversity indicate that improving these traits promises to be achieved through selection Abreu et al. (2016).

Plant height, stem diameter, leaf length, leaf width, leaf area, number of tillers, number of seeds per panicle, number of productive tillers, and yield and seed width are traits that have high coefficients of genetic diversity (Table 1). This study's results align with those found by previous researchers such as Nandeshwar et al. (2010) and Sanghera and Sanghera & Kashyap (2012).

Table 1

Table 1 Values of the Coefficient of Diversity, Standard Deviation, Coefficient of Genetic Diversity, Coefficient of Phenotypic Diversity of Some Traits of Local Varieties of Upland Rice
Traits observed	Coefficient of diversity	Standard deviation	Coefficient of genetic diversity	Coefficient of phenotypic variation
Plant height	4.76	133.82±20.92	14.62	15.37
Stem diameter	9.81	0.29±0.08	27.29	29.00
Panicle Length	5.80	29.09±4.09	13.05	14.28
Leaf length	7.09	63.96±13.01	19.37	20.62
Leaf width	8.70	1.48±0.32	20.34	22.15
Leaf area	8.59	72.88±24.73	33.29	34.38
Flowering age	1.00	83.58±10.81	13.06	13.10
Harvest age	1.34	124.10±7.12	5.65	5.81
Number of puppies	9.47	24.93±18.08	72.79	73.40
Weight 1000 seeds	2.81	23.90±3.32	13.66	13.94
Number of seeds per panicle	16.14	160.71±51.89	27.84	32.18
Seed length	13.87	0.98±0.23	18.88	23.43
Seed width	6.33	0.31±0.05	15.77	17.00
Seed thickness	6.39	0.22±0.02	8.02	10.26
Number of productive tillers	20.20	16.40±10.00	58.50	61.89
yield	18.29	3.47±1.84	47.61	51.01

 

3.3. Heritability and Genetic Progression

Heritability is a genetic parameter used to measure the degree of inheritance of a character in a plant population or an estimate that measures the extent to which the role of genetic factors causes the variability of a character's appearance in a population. If a character has a high heritability value, that character's appearance is more controlled by genetic factors so that the character can be called a character that is easily inherited. Genetic factors are more important in maintaining a trait than environmental factors.

Heritability estimated values ranged from 0.61 to 0.99. This means that the heritability value in the broad sense observed is high (Table 2). This study's results align with the results found by Akhtar et al. (2011) for the number of seeds per panicle, plant height, flowering age, weight of 100 grains, and yield. Anyaoha et al. (2018) showed that high heritability for 1000 seed weight, flowering age up to 50%, harvest age, and the number of panicles (63.89%) indicated that these traits could be easily phenotypically selected in the field during the program. Breeding The research results by Nandeshwar et al. (2010) found that heritability values were high for plant height, panicle length, number of seeds per panicle, seed length, seed width, 1000 grain weight, and yield. The results of Babu et al. (2012) showed that the heritability values obtained were high for 50% flowering age, plant height, panicle length, seed length, seed width, 1000 seed weight, and yield. Asfaliza et al. (2012) also found a high heritability predictive value for seed length and weight.

Table 2

Table 2 Value of Genetic Variety, Environment, Phenotype, Heritability, and Genetic Progress of Some Traits of Local Varieties of Upland Rice
Traits observed	Genetic Variation	Environmental Variation	Phenotype Variety	Heritability	Genetic progress
Plant height	406.88	43.22	450.11	0.9	33.09
Stem diameter	0.00711	0.000919	0.008029	0.89	15.50
Panicle Length	14.35	2.83	17.18	0.84	5.98
Leaf length	150.96	20.22	171.18	0.88	20.07
Leaf width	0.09	0.02	0.11	0.84	0.48
Leaf area	588.69	39.23	627.91	0.94	40.57
Flowering age	119.56	0.71	120.27	0.99	18.81
Harvest age	49.28	2.76	52.03	0.95	11.79
Number of puppies	330.91	5.61	336.51	0.98	31.12
Weight 1000 seeds	10.83	0.46	11.29	0.96	5.58
Number of seeds per panicle	2047.47	688.06	2735.53	0.75	67.97
Seed length	0.03	0.02	0.05	0.65	0.26
Seed width	0.0024	0.0004	0.0028	0.86	0.08
Seed thickness	0.0003	0.0002	0.0005	0.61	0.02
Number of	91.99	10.97	102.96	0.87	15.64
productive tillers
yield	2.98	0.48	3.46	0.89	2.81
Description: Genetic progress with a selection intensity of 10% (t=1.75)

 

Heritability value alone cannot predict breeding value Aditya & Bhartiya (2017). The heritability associated with the average genetic progress is very effective and can be accounted for in predicting the results of effective selection Chuchert et al. (2018). Genetic progress is the increase in certain traits of the new population compared to the base population in genotypic values under selection at a certain selection intensity Wolie et al. (2013).

High heritability does not necessarily indicate high genetic progress. For example, the yield trait has a heritability in a broad sense of 0.89 with a genetic improvement of only 2.81. Likewise, leaf width with a heritability of 0.84 (height) but genetic progress of only 0.48 (Table 2). Therefore, a high heritability value followed by a high genetic progress value can be used to make an earlier selection because the additive gene content is more dominant.

The number of seeds per panicle is a trait that has high heritability value and genetic progress, followed by the characteristics of leaf area, plant height, number of tillers, leaf length, flowering age, and stem diameter. If crossed, these traits are easily passed on to their offspring, and selection can be made in the early generations. Several other characteristics with high heritability values but low genetic progress indicate that these traits are difficult to pass on to further generations (offspring), and selection must be made at more advanced ages

The study by Singh (2011) showed that heritability and genetic progress had high expectations for plant height, panicle length, seed length, yield, flowering age, and harvest age. Asante et al. (2019), high heritability (> 60%) coupled with moderately advanced genetics as a percent of the mean was observed for the ratio of kernel length to width, kernel length, flowering days, plant height, kernel length, and indications the grain length/width ratio that additive gene effects control these properties. High heritability accompanied by the moderate genetic gain (%) for flowering life and panicle length was reported by Hossain et al. (2015). Consequently, these traits can be enhanced through simple selection methods that focus on the performance of individuals in the population.

 

3.4. Correlation Between Traits

Seed yield is a complex polygenic trait controlled by many genes that interact with the environment and is the product of many factors called yield components. Correlation coefficients can also help identify traits with little or less importance in the selection program. The existence of a correlation can provides information about the influence of linked genes or the influence of pleiotropy genes or physiology, and the influence of developmental relationships or environmental influences or in all combinations Chouhan et al. (2014).

The results showed that the relationship between several traits with positive and negative results ranged from 0.13 to 0.82. Plant height positively correlated with yield, but it was insignificant.

 Table 3

Table 3 The Genotypic (Above the Diagonal) and Phenotypic (Below the Diagonal) Correlations of Some Traits on the Yield of Upland Rice Local Varieties
Traits	PH	SD	PL	LL	LW	LA	FA	HA	NP	1000 S	NSP	SL	SW	ST	NPT	Y
PH	-	-0.53*	0.14	0.23	-0.43*	-0.16	0.19	0.36*	-0.09	-0.49*	0.33*	0.16	-0.16	-0.38*	-0.08	0.13
SD	-0.49*	-	0.27	-0.2	0.56*	0.40*	-0.49*	-0.23	-0.05	0.35*	-0.23	-0.06	0.52*	0.43*	-0.04	-0.13
PL	0.14	0.21	-	0.13	0.16	0.27	0.11	0.14	0.02	-0.29	0.46*	0.38*	0.35*	0.3	0.07	0.43*
LL	0.27	-0.17	0.12	-	0.31*	0.49*	-0.22	0.50*	0.43*	-0.04	0.53*	0.30	-0.3	-0.16	0.55*	0.56*
LW	-0.39*	0.50*	0.24	0.29	-	0.81**	-0.35*	0.42*	0.53*	-0.02	0.04	0.27	0.24	0.14	0.62*	0.38*
LA	-0.12	0.37*	0.11	0.48*	0.75**	-	-0.27	0.40*	0.41*	-0.21	0.18	0.39*	0.05	-0.13	0.57*	0.47*
FA	0.18	-0.46*	0.14	-0.21	-0.32*	-0.27	-	0.3	-0.11	-0.52*	0.17	-0.16	-0.11	-0.16	-0.09	0.04
HA	0.33*	-0.21	0.01	0.46*	0.36*	0.37*	0.29	-	0.3	-0.48*	0.38*	0.21	-0.03	-0.03	0.40*	0.37*
NP	-0.09	-0.04	-0.25	0.41*	0.49*	0.38*	-0.11	0.29	-	-0.1	0.41*	0.14	-0.37*	-0.39*	0.95**	0.74**
1000S	-0.46*	0.33*	0.48*	-0.03	-0.03	-0.2	-0.51*	-0.44*	-0.09	-	-0.25	-0.36*	0.01	0.46*	-0.25	-0.25
NSP	0.26	-0.21	0.24	0.42	0.04	0.13	0.16	0.31*	0.33*	-0.23	-	0.16	-0.09	0.01	0.48*	0.82**
SL	0.08	-0.05	0.27	0.22	0.12	0.25	-0.13	0.18	0.1	-0.27	0.1	-	0.23	-0.08	0.3	0.35*
SW	-0.11	0.45*	0.27	-0.26	0.22	0.03	-0.1	-0.02	-0.32	0.01	-0.08	0.11	-	0.77	-0.31	-0.18
ST	-0.33*	0.35*	0.22	-0.12	0.05	-0.8	-0.11	-0.01	-0.29	0.38*	-0.01	-0.08	0.51*	-	-0.41*	-0.17
NPT	-0.08	-0.03	0.07	0.49*	0.54*	0.5	-0.08	0.37*	0.91**	-0.23	0.36*	0.19	-0.26	-0.29	-	0.82**
Y	0.09	-0.11	0.44	0.52*	0.34*	0.40*	0.05	0.33*	0.71**	-0.24	0.78**	0.2	-0.13	-0.08	0.73**	-
Description: plant height (PH), stem diameter (SD), panicle length (PL), leaf length (LL), leaf width (LW), leaf area (LA), flowering age (FA), harvest age (HA), number puppies (NP), weight 1000 seeds (1000 S), Number of seeds per panicle (NSP), Seed length (SL), Seed width (SW), Seed thickness (ST), Number of productive tillers (NPT) and yield (Y)

 

Stem diameter negatively correlated with yield. Panicle length, leaf length, leaf width, and leaf area were significantly positively correlated with rice yields. Age at harvest and number of tillers had a significant positive correlation with yield. Except for the flowering age, there is no significant positive correlation with yield. The number of seeds per panicle, seed length, and productive tillers significantly correlated with yield. Meanwhile, the weight of 1000 seeds and the width and thickness of the seeds had no significant negative correlation with the yield of rice plants (Table 3). Panicle length, leaf length, leaf width, leaf area, harvest age, number of tillers, number of seeds per panicle, length of seeds, and number of productive tillers can be used as indicators of indirect selection to increase rice yields.

This study's results align with the results obtained by Rahman et al. (2014) that there is a genotypic correlation between plant height and yield, but it is not significant. Panicle length and weight of 100 seeds were positively correlated with yield. Idris et al. (2012)  observed a positive genotypic and phenotypic relationship between yield and number of filled seeds per panicle, panicle length, and number of seeds per panicle. Sadeghi (2011) observed a significant positive relationship between seed yield and seeds per panicle, harvest age, number of productive tillers, and flowering time. Ullah et al. (2011) detected a positive and significant relationship between seed yield, panicle length, and seeds per panicle.

 

3.5. Path Analysis

The relationship between the outcome components and the results using a simple correlation is less meaningful because the correlation needs to consider the influence of other traits contributing to the results. Therefore, it is necessary to show how much direct and indirect impact there is between an attribute and the intended main characteristic. A trait's direct and indirect effects on rice yields are presented in Table 4. The table shows that the explicit effect values range from -0.04 to 1.92. The number of seeds per panicle has a significant and high genetic correlation to yield, but the direct effect is small and negative.

The number of productive tillers has a high direct effect (1.72) through plant height (5.72), stem diameter (-1.24), panicle length (-7.21), leaf length (-5.66), width leaf (-2.64), leaf area (12.92), age of flowering (3.94), age of harvest (-4.37), number of tillers (-5.51, the weight of 1000 seeds (4.14), number of sources per panicle (3.41), seed length (1.27), leaf width (0.28) and leaf thickness (4.51). The high direct effect of the number of productive tillers on yield is due to the high and positive indirect effect through plant height, leaf area, flowering age, 1000 grain weight, number of seeds per panicle, seed width and seed thickness, and high correlation to yield Traits that have a real positive genetic correlation and a heightened direct effect on yield can be used as criteria natural selection to increase profits.

The results of Htwe et al. (2019) showed that the number of productive tillers, filled grains, and per malai grains had a direct effect and a high correlation with rice yields. Kampe (2018) showed that flowering age, panicle length, and the number of fertile tillers per plant had a direct effect and a high genotypic correlation on rice yields. The results of research by Tejaswini et al. (2016) obtained panicle length to have a direct effect and a high correlation to rice yield

Table 4

Table 4 The Direct (Bolt Letters) and Indirect Effects of Some of the Yield Component Properties on the Yield of Local Upland Rice
Traits	PH	SD	PL	LL	LW	LA	FA	HA	NP	1000 S	NSP	SL	SW	ST	NPT	Y
PH	1.60	-4.64	-6.88	-7.78	-3.76	21.68	5.53	-7.14	-0.24	6.08	1.91	-0.06	1.24	7.36	2.91	0.13
SD	0.77	0.17	-0.52	-0.32	-2.82	2.18	0.93	0.28	0.59	0.26	-0.32	0.41	-0.62	1.00	0.60	-0.13
PL	-1.31	1.13	-0.25	1.67	1.74	-5.29	-0.90	1.19	-0.59	-0.93	-0.53	0.02	-0.60	-1.67	-0.02	0.43*
LL	-2.67	2.20	1.97	-0.56	0.87	-7.18	-0.67	0.96	0.23	-2.50	-1.70	-0.19	0.23	-2.00	-0.72	0.56*
LW	5.17	-3.08	-3.76	-2.36	0.51	8.31	3.72	-6.18	-0.05	1.68	1.54	-0.37	-0.27	4.00	-1.18	0.38*
LA	0.97	-2.50	-0.76	-3.08	-3.26	0.50	0.41	-0.40	0.21	2.28	0.29	-0.49	1.05	1.07	0.69	0.47*
FA	5.08	-2.32	-4.61	-3.62	-2.63	13.72	0.95	-5.03	0.92	3.97	0.87	0.46	1.09	4.55	0.71	0.04
HA	-4.26	3.47	3.07	3.20	1.41	-11.67	-3.11	-0.96	0.20	-2.30	-0.86	0.54	-0.94	-4.08	-1.52	0.37*
NP	-3.29	0.00	5.04	2.25	-1.18	-5.60	-2.53	3.18	-0.48	-1.51	-3.23	-0.99	0.91	-2.33	-3.72	0.74*
1000S	4.24	-1.15	-4.48	-2.70	-0.48	8.45	3.95	-3.11	0.96	0.46	1.66	1.18	0.86	2.44	-0.59	-0.25
NSP	-2.25	1.38	1.84	2.02	2.14	-6.29	-1.56	1.56	1.02	-1.84	-0.04	-0.10	-0.57	-2.13	-2.76	0.82*
SL	2.45	-1.92	-1.84	-2.86	-1.75	7.87	1.82	-2.10	1.13	2.11	0.43	0.64	0.01	2.74	-0.51	0.35*
SW	-5.07	4.58	3.41	7.24	4.28	-17.52	-2.39	3.82	1.01	-4.10	-1.28	0.56	-1.37	-6.20	-2.58	-0.18
ST	6.35	-6.97	-4.83	-9.45	-7.16	23.80	3.07	-4.90	-1.34	5.91	1.42	-0.93	1.22	1.92	4.85	-0.17
NPT	5.72	-1.24	-7.21	-5.66	-2.64	12.92	3.94	-4.37	-5.51	4.14	3.41	1.27	0.28	4.51	1.78	0.82*
Description: plant height (PH), stem diameter (SD), panicle length (PL), leaf length (LL), leaf width (LW), leaf area (LA), flowering age (FA), harvest age (HA), number puppies (NP), weight 1000 seeds (1000 S), Number of seeds per panicle (NSP), Seed length (SL), Seed width (SW), Seed thickness (ST), Number of productive tillers (NPT) and yield (Y)

 

CONFLICT OF INTERESTS

None. 

 

ACKNOWLEDGMENTS

None.

 

REFERENCES

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