Assessment of Phenotypic Variation and Agronomic Type based Distribution of Genotypes Associated with Oil Content in Groundnut (Arachis hypogaea L.)

Author:

U. Nikhil Sagar1*, K. John2, Muga D. Sreevalli3, P. Sandhya Rani4, M. Sudha Rani5 and M. Reddi Sekhar6

Journal Name: Biological Forum, 18(2): 46-53, 2026

Address:

1Ph.D. Scholar, Department of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati-517502 (Andhra Pradesh), India.

2Principal Scientist (Groundnut and Oilseeds), Genetics and Plant Breeding, Institute of Frontier Technology, Regional Agricultural Research Station, Tirupati-517502 (Andhra Pradesh), India.

3Associate Professor, Department of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati-517502 (Andhra Pradesh), India.

4Principal Scientist and Head, Crop Physiology, Agricultural Research Station, Darsi (Andhra Pradesh), India.

5Professor and Head, Department of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati-517502 (Andhra Pradesh), India.

6Associate Dean, S.V. Agricultural College, Tirupati-517502 (Andhra Pradesh), India.

(Corresponding author: U. Nikhil Sagar*)

DOI: https://doi.org/10.65041/BiologicalForum.2026.18.2.7

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Abstract

Groundnut (Arachis hypogaea L.) is a major contributor to global cultivation due to its rich source of good-quality vegetable oil in seeds. In the current investigation, 184 groundnut genotypes were evaluated across two seasons, season-1 (S1) and season-2 (S2) to study the subspecies level variation for oil content in the Arachis subspecies and agronomic types. Significant variability in oil content (39.6%–52.2%) was detected among the groundnut genotypes. The accessions with higher oil content were predominant in the Spanish Bunch/Valencia Bunch types, whereas the accessions with comparatively low oil content were more prevalent in the Virginia Bunch/Virginia Runner types. The genotypes ICG 4746 (S1- 52.2%, S2- 51.7%), ICG 12370 (S1- 51.6%, S2- 48.4%), ICG 4955 (S1- 51.1%, S2- 50.5%) demonstrated higher oil content across both the seasons. These genotypes with high oil content hold potential for their use in breeding programmes to develop groundnut varieties with increased oil quality. 


Keywords

Oil content, Agronomic types, Subspecies level variation, Breeding programmes, Oil quality. 

Introduction

Groundnut, also referred to as the "King of oilseeds" is an essential oilseed legume crop, known for its high oil content and economic significance. It is also referred to as peanut, wonder nut, earthnut, goobernut, and monkey nut (Nwokolo, 1996). It belongs to the family Leguminosae and subfamily Papilionoideae (Stalker and Wilson 2015). The cultivated groundnut is allotetraploid (AABB, 2n = 4x = 40), and includes the two cultivated subspecies, hypogaea and fastigiata, whereas the majority of the 80 species in the genus Arachis are diploid (2n = 2x = 20) (Krapovickas and Gregory 1994). The cultivated groundnut A. hypogaea was initially classified into two large botanical groups, Virginia and Spanish-Valencia on the basis of branching pattern (Krapovickas, 1973; Upadhyaya and Nigam 1999). Early-maturing Spanish-Valencia plants are usually erect, with pods formed around the base (Litzenberger, 1976). The seeds of late-maturity (Virginia-type) plants exhibit alternating branching patterns, and the pods are distributed along secondary and tertiary branches (Stephen, 2009). Early maturity promotes adaptation to a shorter growing season, however late maturation results in prolonged pod-filling and higher yield potential (Kunta et al., 2025). Spanish groundnut cultivars, cultivated mainly in Africa and semi-arid regions of Asia, account for 60% of global groundnut production (Rani et al., 2024).

Globally, it is cultivated in 29.92 million hectares with an annual production of 55.30 million tonnes and a productivity of 1851 Kg ha-1 (Sukrutha et al., 2025). About 80% of total groundnut production in India is crushed for oil extraction, hence improving the oil content and quality, which is of benefit to plant breeders. The most important quality requirements of groundnut as a source of oil are high protein and oil content in the seed. Groundnut seed contains 10–20% carbohydrates, 48–50% oil, and 25–28% protein (Parmar et al., 2023). It also contains antioxidants such as p-coumaric acid and resveratrol, bioactive compounds such as polyphenols, flavonoids, isoflavones, and many B-complex vitamins, as well as monounsaturated and polyunsaturated fatty acids. It is used as animal feed (oil pressings, green and dry haulms) and as raw material in the manufacturing industry (oil cakes and fertilizers). The oilcake contains 7.3% nitrogen, 1.5% P2O5, and 1.3% potassium (Korale et al., 2022).

The nutritional quality of oil is determined by its fatty acid composition. The major fatty acids found in groundnut are palmitic (16:0), stearic (18:0), oleic (18:1), linoleic (18:2), arachidic (20:0), eicosenoic (20:1), behenic (22:0), and lignoseric (24:0) acids. Oleic acid, a monounsaturated fatty acid, and linoleic acid, a polyunsaturated fatty acid, account for 75-80% of total fatty acids in groundnut oil (Sarvamangala et al., 2011). Regular groundnut consumption is linked with a reduced risk of cardiovascular disease, lower blood pressure, cancer, and may benefit those with type II diabetes (Vassiliou et al., 2009). Groundnut consumption has also been associated with the maintenance of body weight.

Groundnut-based ready-to-use therapeutic food products (RUTP) like "Plumpy Nut" and peanut butter have saved the lives of thousands of malnourished children in Africa, where malnutrition is a severe issue. As a result, groundnut becomes increasingly important as a food nutritional source, in addition to an oil source. Because of its great nutritional value, it is often referred to as the "poor man's almond" and hence an important contributor to combat malnutrition (Parmar et al., 2022).

Assessment of phenotypic and genetic diversity is essential before adopting effective and successful crop improvement approaches to ensure ideal selection (Ajmera et al., 2017). The extent and nature of phenotypic and genotypic variability determine the effectiveness of selecting high-potential genotypes in plant breeding programmes (Yami and Abtew 2025). Hence, the present study was carried out to assess the phenotypic variation and distribution of 184 groundnut accessions based on the different agronomic types.

Material & Methods

The experimental material used in this study comprised of 184 groundnut mini-core accessions. These mini-core accessions include six botanical varieties: hypogaea, fastigiata, hirsuta, peruviana, vulgaris, and aequatoriana

A. Phenotyping for oil content

The oil content (%) of the groundnut accessions was estimated using Near-Infrared Spectroscopy (NIRS). The groundnut samples weighing 60 g were examined with a diode array analyzer at wavelengths ranging from 950 to 1650 nm. Each sample was scanned three times and absorbance readings were taken at 5 nm increments to ensure accuracy (Parmar et al., 2023).

B. Phenotypic variability and distribution of the accessions based on agronomic types 

The "SRplot" (Scientific and Research plot tool) (Tang et al., 2023) was used to create frequency distribution graphs (violin plots) to study the range and mean of the accessions. The box plots were used to visualise the phenotypic distributions of the groundnut mini-core collection, which included 184 accessions from the two subspecies fastigiata and hypogaea, as well as the agronomic types Valencia bunch/Spanish bunch and Virginia bunch/Virginia runner. These box plots were generated using "ggplot" package in the “R” software (Xia et al., 2018). 

Results & Discussion

A. Phenotypic variability for oil content 

The phenotypic variation of 184 accessions for oil content across the two seasons were visualized using violin plots (Fig. 1). 

Fig. 1. Phenotypic variation for oil content in the diverse 184 groundnut genotypes. This figure illustrates the violin plots showing the distribution of oil content (%) for various genotypes across S1 and S2, and mean of both the seasons. The box plot represents the average frequency of distribution of genotypes in a particular season.

The mean values of oil content varied among the seasons such as 45.7% in S1 and 46.3% in S2. The oil content ranged from 39.6% to 52.2% in S1, whereas the values ranged from a minimum of 39.6% to a maximum of 51.7% in S2 (Table 1). 

Table 1: The oil content (%) of the 184 groundnut accessions across the two seasons and mean performance of the two seasons.

Sr. No.

Accession

Season 1

Season 2

MEAN

1.

ICG 10036

45.9

46.1

46.0

2.

ICG 10092

45.0

46.6

45.8

3.

ICG 10185

44.1

44.5

44.3

4.

ICG 10384

47.3

47.1

47.2

5.

ICG 10474

47.3

46.6

46.9

6.

ICG 10479

50.7

48.7

49.7

7.

ICG 10554

45.0

43.2

44.1

8.

ICG 10566

46.4

47.5

46.9

9.

ICG 10890

47.3

48.2

47.8

10.

ICG 11088

43.1

43.2

43.1

11.

ICG 111

41.9

44.6

43.3

12.

ICG 11109

46.3

46.3

46.3

13.

ICG 11144

48.8

48.9

48.9

14.

ICG 11219

43.6

45.5

44.6

15.

ICG 11249

45.9

47.3

46.6

16.

ICG 11322

45.1

45.4

45.3

17.

ICG 1137

47.0

48.0

47.5

18.

ICG 1142

48.9

49.0

49.0

19.

ICG 11426

46.1

45.6

45.9

20.

ICG 11457

44.7

46.4

45.6

21.

ICG 115

49.4

48.8

49.1

22.

ICG 11515

46.4

46.3

46.4

23.

ICG 11651

44.2

44.0

44.1

24.

ICG 11687

47.1

47.2

47.1

25.

ICG 118

46.6

47.1

46.9

26.

ICG 11855

45.7

45.9

45.8

27.

ICG 11862

44.5

45.9

45.2

28.

ICG 12000

47.3

49.2

48.3

29.

ICG 12189

42.5

45.0

43.8

30.

ICG 12276

46.5

47.8

47.2

31.

ICG 12370

51.6

48.4

50.0

32.

ICG 12625

45.6

45.0

45.3

33.

ICG 12672

46.3

45.5

45.9

34.

ICG 12682

44.4

47.6

46.0

35.

ICG 12697

43.0

45.5

44.3

36.

ICG 1274

43.0

43.4

43.2

37.

ICG 12879

44.1

46.5

45.3

38.

ICG 12921

47.8

47.1

47.5

39.

ICG 12988

47.7

47.3

47.5

40.

ICG 13099

45.7

45.6

45.6

41.

ICG 13491

47.2

47.3

47.3

42.

ICG 13603

48.2

48.1

48.2

43.

ICG 13723

41.4

43.4

42.4

44.

ICG 13787

44.3

45.2

44.7

45.

ICG 13856

50.0

49.1

49.5

46.

ICG 13858

49.3

49.0

49.2

47.

ICG 13982

44.2

45.6

44.9

48.

ICG 1399

47.7

48.4

48.1

49.

ICG 14008

46.4

45.8

46.1

50.

ICG 14106

48.5

47.6

48.1

51.

ICG 14118

46.7

47.2

46.9

52.

ICG 14127

45.1

45.5

45.3

53.

ICG 1415

49.2

48.7

49.0

54.

ICG 14466

46.3

45.7

46.0

55.

ICG 14475

44.0

43.5

43.8

56.

ICG 14482

46.6

45.5

46.1

57.

ICG 14523

49.6

48.9

49.2

58.

ICG 14630

47.8

47.9

47.9

59.

ICG 14705

47.1

46.9

47.0

60.

ICG 14710

49.9

49.9

49.9

61.

ICG 14985

48.1

46.8

47.4

62.

ICG 15042

46.7

46.0

46.3

63.

ICG 1519

47.9

48.5

48.2

64.

ICG 15190

44.1

45.3

44.7

65.

ICG 15287

45.5

45.6

45.5

66.

ICG 15309

46.8

46.8

46.8

67.

ICG 15419

44.0

44.6

44.3

68.

ICG 163

44.1

45.3

44.7

69.

ICG 1668

41.4

44.4

42.9

70.

ICG 1711

45.5

46.4

46.0

71.

ICG 188

46.2

47.6

46.9

72.

ICG 1973

48.0

48.7

48.4

73.

ICG 2019

46.6

47.7

47.1

74.

ICG 2106

48.1

48.3

48.2

75.

ICG 2381

39.6

39.6

39.6

76.

ICG 2511

43.6

44.2

43.9

77.

ICG 2772

41.1

44.3

42.7

78.

ICG 2773

41.4

44.6

43.0

79.

ICG 2777

41.6

44.5

43.1

80.

ICG 2857

45.5

45.7

45.6

81.

ICG 2925

44.0

45.5

44.8

82.

ICG 297

47.5

48.3

47.9

83.

ICG 3027

43.1

44.2

43.7

84.

ICG 3053

43.0

44.6

43.8

85.

ICG 3102

46.9

47.3

47.1

86.

ICG 3240

47.1

47.7

47.4

87.

ICG 332

47.7

46.1

46.9

88.

ICG 334

46.4

47.5

46.9

89.

ICG 3343

46.7

46.7

46.7

90.

ICG 3421

47.3

48.1

47.7

91.

ICG 3584

46.3

47.6

46.9

92.

ICG 36

49.4

49.2

49.3

93.

ICG 3673

49.2

49.3

49.2

94.

ICG 3681

48.4

48.8

48.6

95.

ICG 3746

46.2

47.4

46.8

96.

ICG 3775

44.4

47.4

45.9

97.

ICG 397

48.0

49.3

48.7

98.

ICG 3992

44.5

45.2

44.8

99.

ICG 4156

41.7

44.1

42.9

100.

ICG 434

46.1

48.0

47.1

101.

ICG 4343

42.7

43.6

43.2

102.

ICG 4389

44.5

46.5

45.5

103.

ICG 4412

45.0

46.0

45.5

104.

ICG 442

49.0

50.9

50.0

105.

ICG 4527

40.4

43.6

42.0

106.

ICG 4538

46.5

47.0

46.8

107.

ICG 4543

46.9

47.5

47.2

108.

ICG 4598

43.4

45.8

44.6

109.

ICG 4670

44.5

45.4

45.0

110.

ICG 4684

46.5

47.6

47.1

111.

ICG 4729

48.1

47.8

48.0

112.

ICG 4746

52.2

51.7

51.9

113.

ICG 4750

46.1

46.2

46.1

114.

ICG 4911

46.1

46.8

46.4

115.

ICG 4955

51.1

50.5

50.8

116.

ICG 4998

50.7

49.0

49.8

117.

ICG 5016

43.9

43.2

43.6

118.

ICG 5051

45.7

45.9

45.8

119.

ICG 513

43.0

46.0

44.5

120.

ICG 5195

45.6

45.8

45.7

121.

ICG 5221

44.9

45.6

45.3

122.

ICG 5236

46.3

45.8

46.0

123.

ICG 5286

41.5

42.2

41.9

124.

ICG 532

43.9

45.5

44.7

125.

ICG 5327

42.4

44.2

43.3

126.

ICG 5475

43.6

44.1

43.8

127.

ICG 5494

44.6

44.5

44.5

128.

ICG 5609

48.7

48.7

48.7

129.

ICG 5662

43.1

45.2

44.1

130.

ICG 5663

42.4

45.3

43.8

131.

ICG 5745

45.3

45.1

45.2

132.

ICG 5779

49.3

49.9

49.6

133.

ICG 5827

47.9

45.9

46.9

134.

ICG 5891

42.4

45.6

44.0

135.

ICG 6022

46.0

46.4

46.2

136.

ICG 6057

41.6

44.6

43.1

137.

ICG 6201

49.2

49.5

49.3

138.

ICG 6263

45.4

46.9

46.1

139.

ICG 6375

44.5

44.9

44.7

140.

ICG 6402

47.5

47.8

47.6

141.

ICG 6407

50.3

48.9

49.6

142.

ICG 6646

43.8

43.8

43.8

143.

ICG 6654

45.3

45.9

45.6

144.

ICG 6667

46.0

46.7

46.3

145.

ICG 6703

48.1

47.4

47.8

146.

ICG 6766

48.6

47.2

47.9

147.

ICG 6813

40.9

43.4

42.2

148.

ICG 6888

47.7

46.3

47.0

149.

ICG 6892

46.0

45.9

46.0

150.

ICG 6913

42.0

41.6

41.8

151.

ICG 6993

41.5

40.8

41.1

152.

ICG 7000

49.1

48.7

48.9

153.

ICG 7153

43.5

44.0

43.8

154.

ICG 7181

48.8

48.6

48.7

155.

ICG 7190

50.2

48.2

49.2

156.

ICG 721

43.8

45.8

44.8

157.

ICG 7243

44.8

46.0

45.4

158.

ICG 76

43.5

44.5

44.0

159.

ICG 7906

41.4

44.4

42.9

160.

ICG 7963

44.8

46.0

45.4

161.

ICG 7969

49.8

47.5

48.7

162.

ICG 8083

45.2

45.3

45.2

163.

ICG 81

48.1

48.1

48.1

164.

ICG 8106

46.5

47.0

46.7

165.

ICG 8285

45.1

45.8

45.4

166.

ICG 8490

41.2

43.8

42.5

167.

ICG 8517

42.1

45.0

43.6

168.

ICG 8567

48.4

47.6

48.0

169.

ICG 862

40.8

43.8

42.3

170.

ICG 875

42.2

45.1

43.7

171.

ICG 8760

46.4

45.6

46.0

172.

ICG 9037

45.4

45.9

45.7

173.

ICG 9157

41.4

40.8

41.1

174.

ICG 9249

46.1

45.5

45.8

175.

ICG 928

41.6

43.7

42.7

176.

ICG 9315

48.2

47.9

48.1

177.

ICG 9418

44.3

46.4

45.3

178.

ICG 9507

45.4

46.0

45.7

179.

ICG 9666

42.1

44.3

43.2

180.

ICG 9777

45.2

45.6

45.4

181.

ICG 9809

46.7

46.8

46.8

182.

ICG 9842

46.2

46.6

46.4

183.

ICG 9905

42.8

42.9

42.8

184.

ICG 9961

44.2

45.9

45.0



Previous studies also reported the variability for oil content in the range of 45% to 55% (Upadhyaya et al., 2011; Upadhyaya et al., 2003). Across both the seasons, oil content levels were consistently higher in S2 than S1. The genotypes ICG 4746 (52.2%), ICG 12370 (51.6%), ICG 4955 (51.1%), ICG 10479 (50.7%) and ICG 4998 (50.7%) demonstrated higher oil content in S1. Likewise, the genotypes ICG 4746 (51.7%), ICG 442 (50.9%), ICG 4955 (50.5%), ICG 14710 (49.9%) and ICG 5779 (49.9%) showed high oil content in S2. Groundnut varieties with high oil content particularly high oleic acid content are desirable due to their potential health benefits and extended shelf life (Mozingo et al., 2004; Norden et al., 1987).

Similarly, phenotypic variability for oil content was previously reported in groundnut (Shasidhar et al. 2017; Pandey et al., 2014; Sarvamangala et al., 2011). In this study, the genotypes ICG 4746 and ICG 4955 showed high oil content across both the seasons. This stability indicates that these genotypes have developed specific genetic mechanisms that buffer against environmental variations while ensuring consistent oil production (Tang et al., 2022). This inherent stability is beneficial as it reduces the unpredictability of oil content under various cultivation conditions, offering consistent product quality to consumers and processors. 

In this study, the identified phenotypic variations and their stability across environments have major implications for breeding strategies. The varieties with stable phenotypic performance, irrespective of environmental changes, can be targeted in breeding programs for large-scale, diverse cultivation. On the other hand, varieties with specific adaptabilities to certain conditions can be utilised for cultivation in specific environments where those conditions prevail (Wang et al., 2023).

B. Phenotypic distribution for oil content based on agronomic types

The box plots were used to demonstrate the phenotypic variations for oil content based on the different agronomic types. The agronomic types differed in their oil content; accessions with high oil content were identified in Spanish Bunch and Valencia Bunch, while the low oil content accessions were found in the Virginia Bunch and Virginia Runner (Fig. 2).

Fig. 2. Phenotypic distribution for oil content based on different agronomic types of the groundnut mini-core accessions across two seasons (A) Season-1, (B) Season-2. The mean values are depicted by the horizontal line in the box.

Previous studies indicated that population genetic and evolutionary factors such as selection, mutation, and recombination rates influence the distribution of genotypes (Joshi et al., 2023; Magwa et al., 2016; Zaitlen et al., 2005).  In a study the high blanchability trait was mostly identified in fastigiata subspecies, and the agronomic types like Valencia bunch and Spanish bunch, indicating the effect of genetic background and ecogeographic adaptation. However, low-blanchability was observed mostly in hypogaea subspecies and agronomic type: Virginia runner and bunch types, revealing genetic constraints (Shah et al., 2025). Guo et al. (2026) demonstrated that iron content varied across different botanical types in groundnut and Valencia-type accessions exhibited higher iron concentration than other types.

Similar results were earlier reported in rice (Qian et al., 2017). The accessions from the aus subgroup were found to be a rich source of micronutrients, and several high Zn donor accessions from this subgroup were discovered and are extensively used in the Zn biofortification program in rice (Calayugan et al., 2021; Palanog et al., 2019; Swamy et al., 2016). In another study, the U.S. peanut germplasm including 83 accessions were evaluated for oil content and fatty acid composition (Wang et al., 2010). The preliminary results indicated significant variability in oil content and fatty acid composition across botanical varieties. The subspecies hypogaea var. hypogaea was helpful for identifying accessions with a high oil content and oleic acid. Further screening of U.S. peanut germplasm was focussed on this botanical variety for high oil content and oleic acid.

Yol et al. (2018) carried out a study using 256 groundnut genotypes and the significant variation among the genotypes was identified for oil content with a range of 35.1% to 55.3% in the subspecies fastigiata, and 31.1% to 57% in the subspecies hypogaea. Oil content varied significantly among genotypes, possibly due to genotypic effects and maturation (Sanders et al., 1980). Oil content may vary depending on location, season, temperature, and environmental conditions (Dwivedi et al., 1993). In this study, subspecies fastigiata had slightly higher oil content than subspecies hypogaea, and similar findings were obtained in the groundnut collections (Yol et al., 2018; Wang et al., 2013). Spanish types are more suitable for oil production because of their high oil content, compared to other market types (Liao et al., 2007). This study identified some genotypes from different botanical types that had over 50% oil content, indicating the potential for oil marketing in groundnut. These high-oil content groundnut types can be utilised in various breeding programmes for the development of groundnut varieties with enhanced oil content. Groundnut oil remains less competitive than other crops like rapeseed oil due to its higher market price (Liao, 2014), thus improving oil content in groundnut is crucial. Breeding for high oil content in various market types could increase the marketability of groundnut oil. 

Conclusion

This study reports the phenotypic variation associated with oil content among the 184 groundnut accessions. Phenotypic distribution revealed that high oil content genotypes majorly belong to the subspecies fastigiata, and agronomic type, Valencia bunch/Spanish bunch, whereas the genotypes with the low oil content values belong to the subspecies hypogaea, and agronomic type, Virginia bunch/Virginia Runner. The accessions ICG 4746 (S1- 52.2%, S2- 51.7%), ICG 12370 (S1- 51.6%, S2- 48.4%), ICG 4955 (S1- 51.1%, S2- 50.5%) showed higher contents of oil across the two seasons. The superior oil content genotypes identified in the groundnut germplasm collection will serve as a potential resource in various breeding programmes for enhancing oil quality in groundnut.


Future Scope

The genotypes which possess to have higher oil contents could serve as donors in breeding programme for the development for high oil content groundnut cultivars. The subspecies level variation for oil content provides the primary source of genetic variation for groundnut improvement to meet present and future demands.

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How to cite this article

U. Nikhil Sagar, K. John, Muga D. Sreevalli, P. Sandhya Rani, M. Sudha Rani and M. Reddi Sekhar (2026). Assessment of Phenotypic Variation and Agronomic Type based Distribution of Genotypes Associated with Oil Content in Groundnut (Arachis hypogaea L.). Biological Forum, 18(2): 46-53.