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. 2016 Mar 31;2016:2796720. doi: 10.1155/2016/2796720

Variability Assessment of Aromatic and Fine Rice Germplasm in Bangladesh Based on Quantitative Traits

M Z Islam 1,*, M Khalequzzaman 1, M K Bashar 2, N A Ivy 3, M M Haque 3, M A K Mian 3
PMCID: PMC4830757  PMID: 27127800

Abstract

The study was conducted to investigate genetic variability among 113 aromatic and fine local rice genotypes of which five were exotic in origin. The test genotypes were evaluated for 19 growth traits, yield components, and yield. All the quantitative traits varied significantly among the test genotypes. High heritability along with high genetic advance was observed for flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000 grain weight. Such findings suggested preponderance of additive gene action in gene expression for these characters. Grain yield was significantly and positively correlated with days to flowering, days to maturity, panicle length, filled grains per panicle, and 1000 grain weight. According to D 2 cluster analysis, 113 test genotypes formed 10 clusters. Selection of parents from the clusters V and X followed by hybridization would possibly result in desirable heterosis for the development of heterotic rice hybrids. Finally, molecular characterizations of the studied germplasm are required for high resolution QTL mapping and validating the presence of candidate genes responsible for valuable characters.

1. Introduction

Bangladesh is mainly a country of rice based cropping system, where thousands of local rice varieties are being cultivated from the time immemorial [1]. To date, farmers across the country are used to cultivate different local varieties or landraces particularly in the unfavourable ecosystems. Local variety including aromatic rice genotypes occupied about 12.16% of the rice growing areas in Bangladesh [2]. Many of these local varieties have some special characteristics such as aroma, better taste, and higher cooking quality which also provide additional value in socioeconomic aspects. Moreover, aromatic rice constitutes a special group of rice genotypes well known in many countries across the world for their aroma and/or super fine grain quality [3]. Bangladesh has a stock of above 8,000 rice germplasms of which nearly 100 are aromatic [1, 4]. It is worthwhile to mention that aromatic rice is closely related to the social and cultural heritage in Bangladesh and it is consumed during weddings and other festivals [5]. Aromatic and fine rice germplasm native to Bangladesh generally have short bold and medium bold grain type with mild to strong aroma [6, 7]. In Bangladesh, among the different aromatic rice varieties, Chinigura is the predominant one that covers more than 70% of rice farms in the northern districts of Naogaon and Dinajpur. Other important aromatic rice varieties are Kalijira (predominantly grown in Mymensingh) and Kataribhog (mainly cultivated in Dinajpur) [8]. Most of the aromatic rice varieties in Bangladesh are of locally adapted, photoperiod-sensitive, and grown during Aman season under rainfed lowland ecosystem. The production cost of aromatic and fine rice is low compared to that of coarse rice. Therefore, the income potential is higher with aromatic fine rice cultivation, since its cultivation does not usually require additional expenditures on fertilizer, pesticides, and irrigation. However, the average yield of high yielding rainfed lowland rice is 3.4 t/ha, whereas that of aromatic rice is 2.0–2.3 t/ha [9].

Knowledge on genetic diversity among crop populations and its quantitative assessment usually helps a breeder to select suitable parents to be utilized in breeding programmes [10–15]. Among the different cereal crops, rice is (Oryza sativa) one of the best models to undertake the study of genome structure and genetic diversity. Its diploid genome is relatively smaller in size (430 Mb) with a significant level of genetic polymorphism and a large amount of well-conserved genetically diverse material [16–18].

In a breeding programme, genetic improvement primarily depends upon the amount of genetic variability present in the population. In many cases, characters are mostly governed by poly genes which are highly influenced by the environment. Therefore, it is difficult to predict whether the existing variability is heritable or not. Furthermore, heritability of a genetic trait is very important in determining the response to selection because it implies the extent of transmissibility of that trait into next generations [19, 20]. In addition, high genetic advance coupled with high heritability offers the most effective condition for selection for a specific character [21].

These days, plant breeders usually evaluate genetic diversity on the basis of morphological traits because they are more economic, faster, and easier to score compared to the molecular traits [22, 23]. Investigation to these traits also does not require any sophisticated procedure or advanced equipment. In addition, these traits can be transmitted without adapting any special biochemical or molecular techniques. The rice plant is morphologically diverse, especially in terms of the vegetative traits such as plant height and leaf length. Our previous studies involving local aromatic and nonaromatic rice germplasm from Bangladesh using morphological, physicochemical, and molecular markers revealed high genetic diversity [6, 24–28]. However, such investigations on aromatic and fine rice genotypes are not yet to be conducted. Therefore, the present study was undertaken to assess the genetic diversity of aromatic and fine rice genotypes in Bangladesh.

2. Materials and Methods

2.1. Experimental Site

The experiment was conducted at the research farm of Bangladesh Rice Research Institute (BRRI), Gazipur, during July to December (T. Aman season), 2011. Geographically, the place is located at about 24.00°N latitude and 90.25°E longitude with an elevation of 8.4 meters from the sea level and is characterized by subtropical climate. The soil of the experimental site was clay loam in texture.

2.2. Plant Materials

A total of 113 aromatic and fine rice genotypes (Table 1) were selected from BRRI genebank. Pregerminated seeds were sown in the seed bed.

Table 1.

Information on place of collection, source, and local name of the aromatic and fine rice accessions.

Sl. No. Genotypes Acc. No./source Place of collection Kernel size and shape 1.7% KOH (aroma)
1 Sakor 197 Mymensingh Short, bold Lightly scented
2 Sagardana 229 Mymensingh Short, medium Lightly scented
3 Nunia 233 Mymensingh Short, medium Lightly scented
4 Chini Sagar (2) 245 Mymensingh Short, medium Scented
5 Meny 288 Gaibandha Short, bold Scented
6 Tilkapur 296 Gaibandha Short, medium Lightly scented
7 Binnaphul 315 Gaibandha Short, medium Lightly scented
8 Kalobhog 318 Gaibandha Short, medium Scented
9 Jabsiri 331 Gaibandha Short, medium Scented
10 Kalgochi 352 Gaibandha Short, bold Scented
11 Chinisakkor 387 Rajshahi Short, medium Scented
12 Chiniatob 399 Rajshahi Short, medium Scented
13 Noyonmoni 461 Rajshahi Short, medium Scented
14 Saubail 873 Sylhet Short, medium Scented
15 Chinniguri 1880 Kishoreganj Short, bold Scented
16 Kalomala 1886 Kishoreganj Short, medium Scented
17 Begunmala 1896 Kishoreganj Short, medium Scented
18 Gopalbhog 1938 Kishoreganj Short, medium Scented
19 Tulsimoni 1980 Jamalpur Short, medium Scented
20 Jirabuti 1984 Mymensingh Short, bold Scented
21 Khirshabuti 1996 Tangail Short, medium Scented
22 Rajbut 1999 Tangail Short, medium Scented
23 Soru kamina 2015 Satkhira Short, bold Lightly scented
24 Kamini soru 2027 Satkhira Short, bold Lightly scented
25 Doiarguru 2037 Khulna Short, bold Lightly scented
26 Premful 2041 Satkhira Short, medium Scented
27 Begun bichi 2073 Kishoreganj Short, bold Lightly scented
28 Elai 2423 Dhaka Long, slender Nonscented
29 Gua masuri 3666 Sherpur Short, medium Nonscented
30 Luina 3676 Netrokona Short, medium Scented
31 Lal Soru 4135 Dinajpur Short, medium Scented
32 Chini Kanai 4356 Khulna Short, bold Scented
33 Kalijira (short grain) 4357 Khulna Short, bold Scented
34 Rajbhog 4360 Khulna Short, medium Scented
35 Philippines Kataribhog 4365 Dinajpur Short, medium Scented
36 Baoibhog 4813 Kurigram Short, medium Scented
37 Baoijhaki 4826 Dinajpur Short, medium Lightly scented
38 Jirabhog (Bolder) 4828 Dinajpur Short, bold Lightly scented
39 Chinigura 4867 Mymensingh Short, bold Scented
40 Tulsimala 4870 Mymensingh Short, bold Scented
41 Bashmati 370 4904 Pakistan Medium, slender Scented
42 Uknimodhu 5083 Rangpur Short, medium Scented
43 Ranisalut 5286 Khulna Short, bold Lightly scented
44 Jira dhan 5313 Khulna Short, bold Scented
45 Gandhakusturi 5319 Bagerhat Short, bold Nonscented
46 Sakkorkhora 5347 Barguna Short, bold Scented
47 Badshabhog 5349 Bagerhat Short, bold Scented
48 Jirakatari 5975 Dinajpur Short, bold Scented
49 Desikatari 5978 Dinajpur Short, medium Scented
50 Thakurbhog 5983 Sylhet Short, medium Nonscented
51 Tulsimaloty 6638 Tangail Short, bold Scented
52 Raduni pagal 6711 Rajshahi Short, medium Scented
53 Sugandhi dhan 7063 Nawabganj Short, medium Nonscented
54 Kalijira (long grain) 4358 Khulna Short, medium Scented
55 Jesso balam TAPL-25 2454 GRSD, BRRI Short, medium Scented
56 Dakshahi 983 Khulna Short, bold Nonscented
57 Hatisail TAPL-101 2528 GRSD, BRRI Short, bold Scented
58 Khasa 682 Comilla Short, medium Scented
59 Buchi 369 Gaibandha Short, bold Scented
60 Awned TAPL-545 2939 GRSD, BRRI Short, bold Scented
61 Black TAPL-554 2947 GRSD, BRRI Short, bold Scented
62 Straw TAPL-500 2898 GRSD, BRRI Long, slender Scented
63 Dubsail 4840 Satkhira Short, bold Scented
64 Duksail 2028 Satkhira Short, bold Nonscented
65 Khaskani 4341 Jessore Short, medium Scented
66 Khazar 4921 Iran Long, slender Nonscented
67 Basmati Sufaid 106 4498 Pakistan Medium, slender Lightly scented
68 BR5 4343 GRSD, BRRI Short, bold Scented
69 BRRI dhan34 7093 GRSD, BRRI Short, medium Scented
70 BRRI dhan37 7094 GRSD, BRRI Short, medium Scented
71 BRRI dhan38 7095 GRSD, BRRI Medium, slender Scented
72 BRRI dhan50 6882 GRSD, BRRI Long, slender Lightly scented
73 Khasa Mukpura 7586 Khagrachhari Short, medium Scented
74 Uknimodhu 298 Gaibandha Short, bold Scented
75 Bawaibhog-2 301 Gaibandha Short, medium Scented
76 Chiniatob-2 398 Rajshahi Short, bold Scented
77 Tilokkachari 758 Chittagong Short, bold Scented
78 Begunbichi-2 508 Rangpur Short, bold Scented
79 Chinairri 764 Chittagong Short, bold Scented
80 Bhatir chikon 774 Chittagong Short, medium Scented
81 Gordoi 1908 Kishoreganj Short, bold Nonscented
82 Dolagocha 451 Rajshahi Short, bold Nonscented
83 Kalonunia 537 Rangpur Short, medium Lightly scented
84 Dhan chikon 538 Dinajpur Short, medium Lightly scented
85 Badshabhog-2 03 Dhaka Short, bold Scented
86 Thakurbhog-2 872 Sylhet Short, bold Nonscented
87 Khuti chikon 4107 Comilla Short, bold Lightly scented
88 Sunduri samba 4803 Rajshahi Short, medium Nonscented
89 Basmati 4754 Barguna Short, bold Scented
90 Basmati 37 4491 India Long, slender Lightly scented
91 Basnatu sufaid 187 4499 Pakistan Long, slender Lightly scented
92 Tulsimala-2 7342 Sherpur Short, bold Lightly scented
93 Chinisail 7343 Sherpur Short, medium Lightly scented
94 Malshira 7347 Sherpur Short, bold Lightly scented
95 Sadagura — Khagrachhari Short, medium Lightly scented
96 Modhumadab 7352 Habiganj Short, medium Lightly scented
97 Parbatjira 7351 Habiganj Short, bold Lightly scented
98 Chinikanai-2 7350 Dinajpur Short, bold Lightly scented
99 Meedhan 7537 Habiganj Short, medium Lightly scented
100 Gobindhabhog — Jessore Short, medium Lightly scented
101 Kataribhog 7082 Dinajpur Short, medium Scented
102 Fulkari 7531 Habiganj Short, bold Lightly scented
103 BU dhan2R 7413 GRSD, BRRI Long, slender Lightly scented
104 Padmabhog 4812 Kurigram Short, medium Lightly scented
105 Dudsail 4840 Satkhira Short, medium Lightly scented
106 Sakkorkhana 4761 Barguna Short, medium Scented
107 Maloti 169 Tangail Short, medium Lightly scented
108 Bashful 4215 Kishoreganj Short, medium Scented
109 Kalijira TAPL-64 2492 GRSD, BRRI Short, medium Scented
110 Oval TAPL-2990 2990 GRSD, BRRI Short, medium Lightly scented
111 Kalijira TAPL-68 2496 GRSD, BRRI Short, medium Scented
112 Kalijira TAPL-74 2501 GRSD, BRRI Short, bold Scented
113 Kalobakri 2108 Narsingdi Short, bold Scented
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2.3. Experimental Design and Setting the Experiment

The experiment was conducted following a randomized complete block design with three replicates for each treatment. Thirty-day-old seedlings of each test genotypes were transplanted on the 15th August, 2011 using single seedling per hill in 2.4 m2 plot with 25 cm and 20 cm space between rows and plants, respectively.

2.4. Intercultural Operations

Fertilizers were applied @ 80 : 60 : 40: 12 kg N : P : K : S per hectare. However, except N, the other fertilizers were applied at final land preparation. Nitrogen was applied in three equal splits, at 15 days after transplanting (DAT), at 35 DAT, and just before flowering. Intercultural operations and pest control measures were done as and when necessary.

2.5. Data Collection

Data were collected on culm diameter (mm), flag leaf area (cm2), plant height (cm), days to flowering, days to maturity, effective tiller number (ET No.), panicle length (cm), primary branch length (cm), secondary branch length (cm), primary braches per panicle, secondary branches per panicle, number of filled grains per panicle, number of unfilled grains per panicle, grain length (mm), grain breadth (mm), grain length breadth ratio, 1000-grain weight (g), grain yield per hill (g), and harvest index (HI). Kernel quality was determined using dehusked grains. Kernels were classified on the basis of length (size) and for L/B ratio (shape) following classification described by Cruz and Khush [29] (Table 2).

Table 2.

List of quantitative traits of 113 aromatic and fine rice genotypes.

Traits Method of evaluation
Culm diameter (CD, mm) Outer diameter internodes of the 10 culms were measured and averaged
Flag leaf area (FLA, cm2) Flag leaf area (cm2) = flag leaf length (cm) × maximum width (cm) × 0.75
Plant height (PH, cm) The average of height from the base to the tip of last leaf (flag leaf)
Days to flowering (DF, days) The number of days from seeding to flowering day
Days to maturity (DM, days) The number of days from seeding to maturing day
Effective tiller number (ET No.) Counting of effective tiller per hill
Panicle length (PL, cm) Distance between apex of the panicle (excluding awn) and top most node (neck node) of the culm
Primary braches per panicle (PBP, no.) Primary branches were counted from 5 randomly selected panicles and averaged
Primary branch length (PBL, cm) Lengths of the primary branches present in a panicle were measured (cm) from five panicles and averaged
Secondary branches per panicle (SBP, no.) Secondary branches were counted from 5 randomly selected panicles and averaged
Secondary branch length (SBL, cm) Length (cm) of the 30 random secondary branches from five randomly selected panicles and averaged
Filled grains per panicle (FGP, no.) Number of filled grains per panicle was counted from 10 randomly selected panicles and averaged
Unfilled grains per panicle (UFGP, no.) Number of unfilled grains per panicle was recorded from 10 randomly selected panicles and averaged
Grain length (GL, mm) Length (mm) of a grain was measured by a digital slide caliper from 10 randomly selected fertile grains excluding awn and averaged
Grain breadth (GB, mm) Breadth of a grain (mm) was measured form 10 randomly selected fertile grains by a digital slide caliper and averaged
Grain length breadth ratio (GLBR) Dividing grain length by grain breadth and averaged
1000-grain weight (TGW, g) 200 grains were weighted then 1000-weight grains were calculated from these weights
Yield per plant (GYP, g) Ten randomly selected plants per replication and averaged
Harvest index (HI) Ratio of grain yield to biological yield
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2.6. Aroma Test

Aroma was detected by sniffing and was scored as nonscented, lightly scented, and scented following 1.7% KOH based method [30] (Table 2).

2.7. Statistical Analysis

Univariate analysis of the individual character (ANOVA) including the estimation of mean, range, and coefficient of variation (CV%) was conducted using a statistical software package MstatC. The test of significance was performed using Fisher's (F) test. Multivariate analysis was conducted using another statistical software package GENSTAT version 5.5. Genetic parameters were also estimated to understand genetic variations among the test genotypes and to determine genetic and environmental effects on different characters. These genetic parameters were calculated using the following formula [31–33]. These parameters include the following:

  • (a)

    Genotypic variance, σ g 2 = (GMS − EMS)/r,

  •  

    where GMS is the genotypic mean sum of squares, EMS is the error mean sum of squares, and r is number of replication.

  • (b)

    Phenotypic variance, σ p 2 = σ g 2 + σ e 2,

  •  

    where σ g 2 is the genotypic variance and σ e 2 is the mean squares of error.

  • (c)

    Genotypic coefficient of variation GCV%=σg2/x-×100,

  •  

    where σ g 2 is the genotypic variance and x- is the mean of character.

  • (d)

    Phenotypic coefficient of variation (PCV)%=σp2/x-×100,

  •  

    where σ p 2 is the phenotypic variance and x- is the mean of trait.

  • (e)

    Heritability (broad sense) h B 2% = σ g 2/σ p 2 × 100,

  •  

    where σ g 2 is the genotypic variance and σ p 2 is the phenotypic variance.

  • (f)

    Expected genetic advance (GA): GA(%) = K × σ p 2 × h B 2 × 100,

  •  

    where GA is a percent of the mean assuming selection of the superior 5% of accession: GA(%)=K×σp2/x-×hB2×100,

  •  

    where K is a constant, σp2/x- is the phenotypic standard deviation, h B 2 is the heritability, and x- is the mean of traits.

3. Result

3.1. Variation in Grain Diversity and Genetic Parameters among Accessions

The grain morphology varied considerably in genotypes collected from BRRI genebank (Figure 1) with respect to awning, colour and size of awns, lemma and palea with presence or absence of coloured furrows and spots, pubescence, and varied coloured apiculus and sterile lemma. Analysis of variance of 19 quantitative characters based on individual sample means showed highly significant (P ≤ 0.01) variations among the genotypes for all the characters outlined in Table 3. The range, mean, standard error, coefficients of variation, and F value of 19 characters are presented in Table 4. The coefficient of variation ranged from 1.69 to 35.81% which indicates considerable variation among the character studied. Out of 19 traits, unfilled grains per panicle, harvest index, yield per plant, filled grains per panicle, primary branches per panicle, and secondary branches per panicle found with relatively higher coefficient of variation (35.81, 20.45, 18.70, 16.79, 11.61, and 11.03%, resp.) than the other traits. These possibly occurred because of sampling error and/or characters were more influenced by the environmental factors. In this study, most of the growth traits showed higher PCV compared to yield and yield component traits. However, lower PCV belonged to days to maturity (5.79%) while unfilled grains per panicle (46.57%) were recorded with higher value. Secondary branches per panicle (34.95%), 1000 grain weight (34.20%), and filled grains per panicle (29.32%) were recorded with higher values of PCV. However, panicle length (6.31%), days to flowering (7.40%), and plant height (10.04%) were found with lower values. The higher GCV was associated with 1000-grain weight (33.18%) whereas the value was fairly low in case of panicle length (5.06%). Results also showed narrow differences between PCV and GCV for most of the traits. Heritability ranged from 29.03 to 97.44%. The highest and the lowest amount of heritability were recorded at grain length and yield per plant, respectively.

Figure 1.

Figure 1

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Variation in grain morphology of some aromatic and fine rice genotypes.

Table 3.

Analysis of variance for different quantitative characters in 113 aromatic and fine rice genotypes.

(a).
Source of variation df CD (mm) FLA (cm3) DF DM PH (cm) ET No. PL (cm) PB No. PBL (cm) SB No.
Replication 2 1.173 32.105 0.51 1.507 250.964 28.769 15.972 4.975 0.081 38.629
Genotype 112 1.422∗∗ 155.904∗∗ 170.559∗∗ 164.857∗∗ 615.038∗∗ 5.491∗∗ 7.455∗∗ 5.129∗∗ 3.825∗∗ 365.148∗∗
Error 224 0.158 17.342 2.257 4.951 16.130 1.156 1.164 1.441 0.593 12.993
CV%   8.60 11.70 2.10 2.69 2.78 10.93 3.77 11.61 7.71 11.03
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(b).
Source of variation SBL (cm) FGP UFGP GL (mm) GB (mm) GLBR TGW (g) YP (g) HI
Replication 0.044 3274.094 544.179 0.234 0.039 0.107 35.785 18.735 0.016
Genotype 0.228∗∗ 4828.209∗∗ 741.844∗∗ 5.412 0.423∗∗ 1.48∗∗ 58.883∗∗ 11.961∗∗ 0.005∗∗
Error 0.034 675.308 241.344 0.047 0.017 0.03 1.206 1.624 0.002
CV% 6.66 16.79 35.81 3.06 5.58 5.55 8.31 18.70 20.44
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∗∗ indicates significance at 1% level of probability.

CD: culm diameter (mm), FLA: flag leaf area, DF: days to flowering, DM: days to maturity, PH: plant height, ET No.: effective tiller number, PL: panicle length, PB No.: primary branches per panicle, PBL: primary branch length, SB No.: secondary branches per panicle, SBL: secondary branch length, FGP: filled grains per panicle, UFGP: unfilled grains per panicle, GL: grain length, GB: grain breadth, GLBR: grain length breadth ratio, TGW: 1000-grain weight, Y/P: yield per plant, and HI: harvest index.

Table 4.

Variability in different quantitative characters in 113 aromatic and fine rice genotypes.

Characters Range Mean SE CV% F-value
CD (mm) 3.14–7.50 4.63 0.065 8.60 8.98∗∗
FLA (cm3) 21.94–54.43 35.28 0.599 11.70 8.99∗∗
DF 76.00–125 100.5 0.709 2.45 75.58∗∗
DM 102–150 126.00 0.697 1.69 33.30∗∗
PH (cm) 79.00–179.00 129.00 1.382 2.74 38.13∗∗
ET No. 4.00–13.87 9.84 0.127 10.39 4.75∗∗
PL (cm) 24.13–33.00 28.62 0.149 3.77 6.40∗∗
PB No. 6.33–13.33 10.34 0.123 11.61 3.56∗∗
PBL (cm) 8.84–14.62 10.75 0.106 7.71 6.45∗∗
SB No. 12.20–65.67 32.67 1.038 11.03 28.10∗∗
SBL (cm) 1.95–3.58 2.75 0.026 6.66 6.79∗∗
FG/P 79.00–262.00 170.50 3.774 16.79 7.15∗∗
UFG/P 4.00–74.00 39.00 1.479 35.81 3.07∗∗
GL (mm) 5.62–12.24 7.11 0.126 3.06 114.34∗∗
GB (mm) 1.68–3.60 2.33 0.035 5.58 24.95∗∗
GLBR 1.97–5.60 3.10 0.066 5.55 49.59∗∗
TGW (g) 7.70–28.33 13.22 0.417 8.31 48.81∗∗
YP (g) 6.47–17.45 12.38 0.188 18.70 2.23∗∗
HI 0.16–0.34 0.24 0.004 20.45 1.93∗∗
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∗∗ indicates significance at 1% level of probability.

CD: culm diameter (mm), FLA: flag leaf area, DF: days to flowering, DM: days to maturity, PH: plant height, ET No.: effective tiller number, PL: panicle length, PB No.: primary branches per panicle, PBL: primary branch length, SB No.: secondary branches per panicle, SBL: secondary branch length, FGP: filled grains per panicle, UFGP: unfilled grains per panicle, GL: grain length, GB: grain breadth, GLBR: grain length breadth ratio, TGW: 1000-grain weight, YP: yield per plant, and HI: harvest index.

Days to flowering, grain breadth, grain length breadth ratio, plant height, and days to maturity were highly heritable, all with an estimated H 2 > 0.90 whereas other characters showed relatively low heritability. GA ranged from 0.03% for harvest index to 48.19% for filled grains per panicle. The genetic advance as percent of mean (GA%) ranged from 6.41% in panicle length to 50.85% in 1000 grain weight. In this study, flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000-grain weight showed high heritability and high genetic advance indicated the presence of additive genes controlling these characters (Table 5).

Table 5.

Estimation of genetic parameters of different quantitative characters in 113 aromatic and fine rice genotypes.

Character σ 2 G σ 2 P GCV (%) PCV (%) h B 2 (%) GA (%) GA in % of mean
CD (mm) 0.42 0.58 14.03 16.45 72.73 0.87 18.91
FLA (cm3) 46.19 63.53 19.10 22.40 72.70 9.16 25.73
DF 56.10 58.36 7.25 7.40 96.13 11.60 11.24
DM 53.30 58.25 5.53 5.79 91.50 11.03 8.36
PH (cm) 199.64 215.76 9.65 10.04 92.53 21.47 14.67
ET No. 1.45 2.60 12.22 16.39 55.56 1.42 14.39
PL (cm) 2.10 3.26 5.06 6.31 64.31 1.83 6.41
PB No. 1.23 2.67 10.72 15.80 46.04 1.19 11.50
PBL (cm) 1.08 1.67 9.66 12.03 64.50 1.32 12.26
SB No. 117.39 130.38 33.17 34.95 90.03 16.24 49.72
SBL (cm) 0.06 0.10 9.24 11.41 65.54 0.33 11.82
FG/P 1384.30 2059.61 24.04 29.32 67.21 48.19 31.14
UFG/P 166.83 408.18 29.77 46.57 40.87 13.05 30.08
GL (mm) 1.79 1.84 18.82 19.07 97.44 2.09 29.36
GB (mm) 0.14 0.15 15.78 16.74 88.84 0.55 23.50
GLBR 0.48 0.51 22.35 23.04 94.16 1.07 34.27
TGW (g) 19.23 20.43 33.18 34.20 94.10 6.72 50.85
YP (g) 2.19 7.55 11.96 22.20 29.03 1.26 10.18
HI 0.00 0.00 13.40 23.21 33.33 0.03 12.22
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CD: culm diameter (mm), FLA: flag leaf area, DF: days to flowering, DM: days to maturity, PH: plant height, ET No.: effective tiller number, PL: panicle length, PB No.: primary branches per panicle, PBL: primary branch length, SB No.: secondary branches per panicle, SBL: secondary branch length, FGP: filled grains per panicle, UFGP: unfilled grains per panicle, GL: grain length, GB: grain breadth, GLBR: grain length breadth ratio, TGW = 1000 grain weight, YP: yield per plant, HI: harvest index, σ 2 G = genotypic variance, σ 2 P = phenotypic variance, (GCV) % = genotypic coefficient of variation,(PCV) % = phenotypic coefficient of variation, h B 2 (%) = heritability (broad sense), and GA (%) = genetic advance.

3.2. Association between Traits

Pearson's correlation coefficient was computed between 19 quantitative traits among 113 accessions of aromatic and fine rice genotypes (Table 6). Culm diameter was significantly and positively correlated with flag leaf area, days to flowering, days to maturity, plan height, and primary branches per panicle. Plant height showed highly significant positive correlation with culm diameter, days to flowering, days to maturity, and panicle length. Grain yield was highly significant (P < 0.01) and positively correlated with days to flowering (r = 0.407), days to maturity (r = 0.431), filled grains per panicle (r = 0.267), primary branch length (r = 0.324), secondary branch length (r = 0.324), and 1000-grain weight (r = 0.258) and positively correlated with panicle length (r = 0.190) and secondary branches per panicle (r = 0.231).

Table 6.

Pearson's correlation coefficient among 19 quantitative traits of aromatic and fine rice genotypes.

  CD FLA DF DM PL ET No. PH FG UFG GL GB GLB PB No. PBL SB No. SBL TGW YP HI
CD 1.00                                    
FLA 0.471∗∗ 1.00                                  
DF 0.270∗∗ −0.061 1.00                                
DM 0.223∗ −0.129 0.978∗∗ 1.00                              
PL −0.036 0.004 0.123 0.187∗ 1.00                            
ET No. −0.441∗∗ −0.242∗∗ −0.057 −0.029 0.069 1.00                          
PH 0.266∗∗ −0.073 0.268∗∗ 0.306∗∗ 0.265∗∗ −0.007 1.00                        
FG −0.007 −0.267∗∗ 0.230∗ 0.272∗∗ 0.178 0.012 0.123 1.00                      
UFG −0.103 −0.242∗∗ −0.143 −0.118 −0.012 0.017 0.062 0.288∗∗ 1.00                    
GL 0.153 0.342∗∗ −0.270∗∗ −0.334∗∗ −0.068 −0.012 −0.244∗∗ −0.595∗∗ −0.258∗∗ 1.00                  
GB 0.152 0.409∗∗ 0.014 0.004 0.204∗ −0.101 0.064 −0.335∗∗ −0.018 0.148 1.00                
GLB 0.047 0.048 −0.237∗ −0.286∗∗ −0.190∗ 0.049 −0.264∗∗ −0.312∗∗ −0.239∗ 0.763∗∗ −0.511∗∗ 1.00              
PB No. 0.413∗∗ 0.115 0.168 0.160 −0.140 −0.231∗ 0.135 0.081 0.053 −0.060 −0.020 −0.055 1.00            
PBL −0.285∗∗ 0.085 −0.204∗ −0.171 0.359∗∗ 0.243∗∗ −0.229∗ 0.218∗ −0.071 0.039 −0.043 0.083 −0.383∗∗ 1.00          
SB No. −0.116 −0.218∗ 0.038 0.075 0.107 0.044 −0.013 0.784∗∗ 0.351∗∗ −0.534∗∗ −0.301∗∗ −0.267∗∗ 0.011 0.345∗∗ 1.00        
SBL −0.109 0.125 −0.299∗∗ −0.316∗∗ 0.093 0.268∗∗ −0.198∗ 0.115 0.032 0.286∗∗ −0.087 0.295∗∗ −0.319∗∗ 0.598∗∗ 0.283∗∗ 1.00      
TGW 0.108 0.479∗∗ −0.041 −0.058 0.200∗ −0.066 −0.154 −0.491∗∗ −0.421∗∗ 0.651∗∗ 0.501∗∗ 0.249∗∗ −0.245∗∗ 0.266∗∗ −0.445∗∗ 0.250∗∗ 1.00    
YP 0.143 0.042 0.407∗∗ 0.431∗∗ 0.190∗ 0.118 −0.023 0.267∗∗ −0.141 −0.001 0.016 −0.003 −0.073 0.324∗∗ 0.231∗ 0.324∗∗ 0.258∗∗ 1.00  
HI −0.140 −0.152 0.025 0.043 0.056 0.048 −0.216∗ 0.343∗∗ 0.008 −0.194∗ −0.282∗∗ 0.034 −0.120 0.390∗∗ 0.436∗∗ 0.324∗∗ −0.112 0.545∗∗ 1.00
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∗∗ and ∗ indicate significance at 1% and 5% level of probability, respectively.

CD: culm diameter (mm), FLA: flag leaf area, DF: days to flowering, DM: days to maturity, PL: panicle length, ET No.: effective tiller number, PH: plant height, FGP: filled grains per panicle, UFGP: unfilled grains per panicle, GL: grain length, GB: grain breadth, GLBR: grain length breadth ratio, PB No.: primary branches per panicle, PBL: primary branch length, SB No.: secondary branches per panicle, SBL: secondary branch length, TGW: 1000-grain weight, YP: yield per plant, and HI: harvest index.

3.3. Principal Component Analysis (PCA)

Eigen values (latent roots) of 19 principal component axes and percentage of total variation accounted for them obtained from component analysis are presented in Table 7. The result revealed that the first axis largely accounted for the variations observed among the genotypes (48.8%) followed by the second axis (10.37%). The first nine axes accounted for about 90% of the total variations among the 19 characters describing 113 aromatic and fine rice genotypes where only 59.17% variation was accounted for the first two axes.

Table 7.

Latent roots (eigen values) and their variation in 19 quantitative characters in 113 aromatic and fine rice genotypes.

Principal component axes Latent roots Variation (%) Cumulative% of variation
I 2.731 13 48.8
II 2.178 10.37 59.17
III 1.613 7.68 66.85
IV 1.219 5.81 72.66
V 1.01 4.81 77.47
VI 0.791 3.76 81.23
VII 0.669 3.19 84.42
VIII 0.654 3.12 87.54
IX 0.551 2.62 90.16
X 0.476 2.26 92.42
XI 0.372 1.77 94.19
XII 0.293 1.4 95.59
XIII 0.258 1.23 96.82
XIV 0.22 1.05 97.87
XV 0.176 0.84 98.71
XVI 0.151 0.72 99.43
XVII 0.096 0.46 99.89
XVIII 0.014 0.08 99.97
XIX 0.007 0.03 100
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3.4. Cluster Analysis

The pattern of distribution of 113 aromatic and fine rice genotypes were grouped into 10 clusters shown in Table 8. The number of genotypes ranged from 3 to 19 in different cluster. The distribution pattern indicated that the maximum number of test genotypes (19) was grouped into the cluster I followed by 18 in clusters VIII, 17 in clusters III, 13 in clusters IV, 11 in clusters II, 10 in clusters X, 8 in clusters V and IX, and 6 in cluster VII. Cluster VI contained the lowest (3) number of genotypes.

Table 8.

Distribution of 113 aromatic and fine rice genotypes into ten clusters.

Cluster Number of genotypes % total Name of genotypes
I 19 16.81 Nunia, Chini Sagar (2), Tilkapur, Kalobhog, Jabsiri, Chinisakkor, Noyonmoni, Tulsimoni, Khirshabuti, Gua masuri, Rajbhog, Baoijhaki, Tulsimala, Desikatari, Thakurbhog, Tulsimaloty, Radunipagal, Khasa, and Kataribhog
II 11 9.73 Begun bichi, Elai, Bashmati 370, Sugandhi dhan, Khazar, Basmati Sufaid 106, BRRI dhan50, Basmati 37, Basnatu sufaid 187, BU dhan2R, and Bashful
III 17 15.04 Jirabuti, Soru kamina, Kamini soru, Doiarguru, Luina, Kalijira (short grain), Philliphine kataribhog, Jirabhog (Bolder), Uknimodhu, Jira dhan, Badshabhog, Kalijira (long grain), Jesso balam, Dakshahi, Straw, Dubsail, and Sunduri samba
IV 13 11.50 Sagardana, Kalgochi, Chiniatob, Gopalbhog, Hatisail, Buchi, BRRI dhan38, Gordoi, Basmati, Padmabhog, Oval TAPL-2990, Kalijira TAPL-74, and Kalobakri
V 8 7.08 Saubail, Begunmala, Rajbut, Ranisalut, Gandhakusturi, Jirakatari, Awned TAPL-545, and Black TAPL-554
VI 3 2.65 Sakkorkhana, Kalijira TAPL-64, and Kalijira TAPL-68
VII 6 5.31 Chini Kanai, Chinigura, Khaskani, BRRI dhan34, BRRI dhan37, and Chinisail
VIII 18 15.92 Chinniguri, Premful, Baoibhog, Sakkorkhora, BR5, Uknimodhu, Chiniatob-2, Begunbichi-2, Bhatir cikon, Dolagocha, Dhan chikon, Badshabhog-2, Malshira, Sadagura, Chinikanai, Meedhan, Gobindhabhog, and Fulkari
IX 8 7.08 Sakor, Binnaphul, Lal Soru, Duksail, Tilokkachari, Chinairri, Kalonunia, and Thakurbhog-2
X 10 8.85 Meny, Kalomala, Khasa Mukpura, Bawaibhog-2, Khuti chikon, Tulsimala-2, Modhumadab, Parbatjira, Dudsail, and Maloti
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Results of 10 higher and 10 lower intergenotypic distances estimated from distant matrix of Principal Coordinate Analysis are shown in Table 9. Highest intergenotypic distance was 2.274 observed between Gopalbhog and Kalobakri followed by the distance of 2.126 observed between Haitsail TAPL101 and Kalobakri. The 10th highest distance of 1.522 was observed between Jirabuti and Straw TAPL554 followed by 1.528 observed between Ranisaluit and Jirakatari. The lowest distance was calculated (0.299) between Doiagura and Jiradhan followed by the distance of 0.301 observed between Kamini soru and Jirabhog (bolder).

Table 9.

Ten higher and ten lower intergenotypic distances among the 113 aromatic and fine rice genotypes.

Sl. No. Genotypic combination Distances
(a) Ten higher intergenotypic distance
01 Gopalbhog-Kalobakri 2.274
02 Haitsail TAPL101-Kalobakri 2.126
03 Buchi-BU dhan 2R 1.836
04 Kalgochi-Kutichikon 1.832
05 Begun Mala-Elai 1.779
06 BRRI dhan50-Bashful 1.632
07 Elai-Khazar 1.589
08 Khasa Mukpura-Dudsail 1.580
09 Ranisalut-Jirakatari 1.528
10 Jirabuti-Straw TAPL-554 1.522
(b) Ten lower intergenotypic distance
01 Doiagura-Jiradhan 0.299
02 Kamini soru-Jirabhog (bolder) 0.301
03 Kutichikon-Parbatjira 0.318
04 Chinisagor (2)-Khasa 0.321
05 Tilkapur-Guamasuri 0.333
06 Kalobhog-Noyonmoni 0.341
07 Noyonmoni-Rajbhog 0.356
08 Chinisagor (2)-Jabsiri 0.361
09 Jabsiri-Chinisakkor 0.362
10 Tilkapur-Kalobhog 0.374
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Intra- and intercluster distances value are presented in Table 10. There were marked variations in intracluster distances which ranged from 0.61 in cluster VI to 1.27 in cluster II indicating homogeneous nature of the genotypes within the cluster. The highest intracluster distance was computed for cluster II (1.27) which was comprised of eleven genotypes followed by cluster IV (1.01) with thirteen genotypes. The genotypes under cluster II (with the highest intracluster mean) were most heterogeneous and genotypes under cluster VI (with the lowest intracluster mean) were comparatively homogenous.

Table 10.

Average intra- (bold) and intercluster distances (D 2) for 113 aromatic and fine rice genotypes.

Cluster I II III IV V VI VII VIII IX X
I 0.68 7.499 3.710 4.274 4.807 7.332 3.975 7.592 4.895 12.119
II   1.27 9.438 7.161 8.645 10.77 9.681 12.206 9.087 15.791
III     0.65 6.288 7.713 6.876 4.332 4.799 3.775 9.087
IV       1.01 4.46 6.946 5.365 8.983 4.908 13.609
V         0.96 9.198 6.713 11.435 7.951 16.116
VI           0.61 7.524 7.896 6.498 10.93
VII             0.75 6.461 5.036 11.064
VIII               0.71 4.78 5.294
IX                 0.79 9.256
X                   0.90
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The intercluster distances ranged from 3.710 to 16.116. Regarding the intercluster distance, the highest value was found between clusters V and X (16.116) followed by clusters II and X (15.791) and so on. On the other hand, the lowest intercluster distance was observed between clusters I and III (3.710) followed by clusters III and IX (3.775) indicating that genotypes of these clusters were genetically closed.

The mean values for all of 19 characters along with the marking of the highest (H) and lowest (L) for each of the cluster are presented in Table 11. Differences in cluster means existed for almost all the characters. Genotypes of cluster VI produced the highest mean for days to flowering (DF), days to maturity (DM), plant height (PH), and yield per plant (Y/P). Genotypes in cluster II had higher mean values for flag leaf area (FLA), secondary branch length (SBL), grain length (GL), grain length breadth ratio (GLBR), and 1000-grain weight (1000). Higher mean values for panicle length (PL), secondary branches per panicle (SB No.), filled grains per panicle (FG/P), and harvest index (HI) were recorded in cluster X whereas those for effective tiller (ET No.) per plant and grain breadth (GB) were recorded in cluster IV.

Table 11.

Cluster means for 19 quantitative characters in 113 aromatic and fine rice genotypes.

  I II III IV V VI VII VIII IX X
CD (mm) 4.57 4.75 4.97 4.53 4.61 5.86 (H) 4.42 4.16 (L) 4.2 5.08
FLA (cm3) 33.37 43.25 (H) 35.12 35.77 36.82 40.16 33.45 33.89 30.95 (L) 34.2
DF 101 90.33 (L) 102.5 107.56 106.75 120.11 (H) 107.8 104.7 103.7 104.03
DM 130.1 118.2 (L) 131.1 136.13 135.12 146.67 (H) 135.8 133.7 132.9 133.07
PH (cm) 152 125.2 (L) 158.4 138.5 157.56 168 (H) 131.2 143.7 142.1 146.39
ET No. 9.99 9.15 9.08 (L) 10.44 (H) 10.33 9.19 9.92 10.21 9.96 9.8
PL (cm) 28.67 27.57 28.56 28.99 28.81 27.95 27.4 (L) 28.98 28.85 29.28 (H)
PB No. 10.67 9.80 (L) 10.85 (H) 10.15 9.82 11.22 10.58 9.83 10.61 10.4
PBL (cm) 10.25 11.28 10.11 (L) 10.85 10.26 10.15 10.45 11.42 (H) 11.02 11.40
SB No. 28.38 22.96 35.44 23.83 18.97 (L) 25.78 37.56 42.53 34.06 49.5 (H)
SBL (cm) 2.72 3.03 (H) 2.65 2.61 2.60 (L) 2.58 2.74 2.83 2.65 2.99
FG/P 135.5 98.84 (L) 162.9 125.96 102.69 158.11 156.3 198.3 162.2 232.2 (H)
UFG/P 53.41 28.3 51.78 27.46 43.45 13.89 (L) 65.44 (H) 47.91 28.91 46.31
GL (mm) 7.36 9.67 (H) 6.81 7.26 7.71 6.34 6.57 6.13 (L) 6.61 6.32
GB (mm) 2.31 2.33 2.36 2.42 (H) 2.84 1.89 (L) 2.36 2.21 2.34 2.13
GLBR 3.21 4.28 (H) 2.91 3.12 2.81 3.36 2.8 2.79 (L) 2.91 3.0
TGW (g) 11.83 19.03 (H) 11.59 15.49 17.46 12.28 11.02 (L) 11.16 13.17 11.25
YP (g) 11.02 (L) 11.59 11.96 13.29 11.78 14.06 (H) 13.94 12.77 12.42 13.60
HI 0.22 0.22 0.23 0.24 0.21 (L) 0.23 0.26 0.25 0.24 0.27 (H)
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CD: culm diameter (mm), FLA: flag leaf area, DF: days to flowering, DM: days to maturity, PH: plant height (cm), ET No.: effective tiller number, PL: panicle length (cm), PB No.: primary branches per panicle, PBL: primary branch length (cm), SB No.: secondary branches per panicle, SBL: secondary branch length (cm), FGP: filled grains per panicle, UFGP: unfilled grains per panicle, GL: grain length (mm), GB: grain breadth (mm), GLBR: grain length breadth ratio, TGW: 1000-grain weight (g), YP: yield per plant (g), and HI: harvest index.

4. Discussion

During the current study, all traits showed highly significant (P < 0.01) variations among 113 accessions, which originated in Bangladesh except Khazar, Basmati 37, Basmati 370, Basmati Sufaid 106, and Basmati Sufaid 187 genotypes. Our results are in close agreement with those of Pandey et al. [34] who recorded highly significant variability among the different rice genotypes. Similarly the finding of Wang et al. [35] also gives support to the current findings. The findings of Chandra et al. [36] and Abarshahr et al. [37] further strengthen the current findings, who also found valuable and highly significant and positive variability among their studied genotypes.

The dependence of grain yield on other traits has been reported for many crops [38]. As mentioned, in this study, yield of plant had positive correlation with 8 quantitative traits. Lasalita-Zapico et al. [39] studied correlation coefficient of 10 quantitative traits for 32 upland rice varieties. In this distinguished significant positive correlation the majority of the morphological traits was recorded except flag leaf angle that had negative correlation with most of characters such as panicle length, leaf length, leaf width, ligule length, leaf area, and culm length. In our studies, grain yield positively correlated with panicle length. The findings indicate that plants with high panicles have high number of filled grains thereby increasing rice yield. Similar correlations were reported by Zafar et al. [40].

The calculation of heritability and genetic advance are used to help the breeder to select traits that are highly heritable as compared to a trait which is less heritable [33]. Both high heritability and genetic advance value obtained in this study, flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, length breadth ratio, and 1000-grain weight indicated reasonable variation for this traits. This suggests that selection can be easily practiced by using these traits to improve grain yield in aromatic rice genotypes. The results support the findings of Sedeek et al. [41], Laxuman et al. [42], and Pandey et al. [34] who reported such type of heritability in rice.

In the present study, 113 aromatic and fine rice genotypes were clustered into ten groups based on 19 quantitative traits. This result supports the findings of Singh et al. [43] and Rao et al. [44] who reported ten clusters in rice genotypes. Ahmadikhah et al. [38] clustered 58 rice varieties into four groups based on 18 morphological traits and genetic distance was around 0.75. Group A was comprised of only one genotype and groups B, C, and D contained 14, 20, and 23 genotypes, respectively. Veasey et al. [45] computed clustering for 23 populations of rice by 20 morphological characteristics. So the varieties were clustered into 10 groups; the last group was the biggest group with seven members and groups 1, 2, 7, and 8 were the smallest groups including only one variety. So, genotypes having distant clusters could be hybridized to get the higher heterotic responses. The similar findings were also reported in a number of previous studies [18, 46–48].

Principal component analysis indicated diversity among 113 aromatic and fine rice genotypes. “Proper values” measure the importance and contribution of each component to total variance, whereas each coefficient of proper vectors indicates the degree of contribution of every original variable with which each principal component is associated. The higher the coefficients are, regardless of the direction (positive or negative), the more effective they will be in discriminating between accessions. In the present study, the first three axes accounted for about 66% of the total variations. Lasalita-Zapico et al. [39] computed approximately 82.7% of total variation among 32 upland rice varieties, 66.9% variation for PC1, and 15.87% for PC2. Rajiv et al. [49] reported the first two principal components accounting for 82.1% of total variation in control and 68.6% in the stress induced genotypes. To obtain greater heterosis, genotypes having distant clusters could be used as parents for hybridization program. In Bangladesh, most of the aromatic rice genotypes are traditional, photoperiod-sensitive, tall stature, and lower yields with mild to strong aroma and also they showed high variability (6, 28). In the present study, it was observed that the genotypes in clusters V and X (16.116) were more diverse than the genotypes of clusters I and III (3.710). Considering cluster distance and cluster mean, the highest mean value for panicle length (cm), secondary branch length (cm), filled grains per panicle, and harvest index was observed in cluster X, which means that those traits might be selected for their high heterosis. Therefore, selection of parents for hybridization program from clusters V and X may result in the desirable heterosis for heterotic rice hybrids. Genotypes under cluster II may also give higher heterosis, if crossing is done within the genotypes of this cluster due to high value of intracluster distance.

5. Conclusion

In the present study, flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000-grain weight showed high heritability and high genetic advance in percent of mean had high heritability and high genetic advance. Yield of plant had positively correlated with days to flowering, days to maturity, panicle length, filled grains per panicle, and 1000-grain weight. The cluster analysis placed 113 aromatic and fine rice genotypes into ten groups. The highest intercluster distance was observed between clusters V and X followed by clusters II and X. The maximum value of intercluster distance indicated that the genotypes belonging to cluster V were far diverged from those of cluster X. So, it is expected in our results that parent's selection for hybridization from the clusters V and X may give the desirable heterosis for heterotic rice hybrids. Finally, molecular characterizations of the studied germplasm are required for high resolution QTL mapping and validating the presence of candidate genes responsible for valuable characters.

Acknowledgments

The authors are highly grateful to the collaborative research project entitled “Genetic Enhancement of Local Rice Germplasm towards Aromatic Hybrid Rice Variety Development in Bangladesh” funded by the NATP: Phase I of PIU, Bangladesh Agricultural Research Council (BARC), for providing all necessary supports.

Competing Interests

The authors declare that they have no competing interests.

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