Banner

Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.32, CiteScore: 0.906

  • Impact Factor 0.8, Q3

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus

Assessing Genetic Diversity and Agro-morphological Variation in Fieldpea Genotypes (Pisum sativum L.) using DUS Descriptors

Amit Sharma1,*, Ravika1, Rajesh Yadav1, Pawan Kumar1, Kavita1, Deepak Kaushik1, Naresh1
1Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, Haryana, India.
  • Submitted22-02-2025|

  • Accepted15-07-2025|

  • First Online 30-07-2025|

  • doi 10.18805/LR-5485

Background: DUS (Distinctness, Uniformity and Stability) characterization of crop varieties is essential for determining the novelty of a variety, ensuring phenotypic consistency across generations and verifying its stability in expression of traits over time. This process is integral to the protection of intellectual property rights and the regulation of seed certification.

Methods: One hundred fifty genotypes were evaluated using 20 agro-morphological DUS descriptors at three different locations in Haryana, India (Pulses Research Area, CCS HAU, Hisar, CCS HAU Rice Research Station, Kaul and KVK, Ambala) during the two years i.e. Rabi 2022-22 and 2023-24 (six environments) in Alfa-lattice design with three replications at each location.

Result: High magnitude of variability was observed among fieldpea genotypes for all the studied DUS traits except foliage waxy bloom, stipule rabbit eared stipules, type of stipule, days to 50% flowering and seed weight where single type of plant were observed. These descriptors remained stable across three locations (Hisar, Ambala and Kaul) and can be extremely useful for characterizing fieldpea genotypes. Stem anthocyanin coloration, stem colour, leaflets, flower colour, leaf axil colour, number of pod per axil, pod shape at distal end and seed surface displayed dimorphic variation while, foliage colour, seed shape and seed cotyledon colour exhibited tri-morphic variation and only pod curvature showed tetra-morphic variation. All the 150 genotypes were classified into five clusters, with the highest number of genotypes (63) in cluster III followed by cluster IV (44) and cluster V (22). Whereas, lowest number of genotypes were observed in cluster III (6) followed by cluster II (15).

Pulses are versatile and beneficial crops that support nutritional needs, economic stability, soil health, environmental sustainability, culinary diversity and economic stability. Their wide-ranging impact highlights their vital role in contemporary agriculture and global food systems, reinforcing their importance in ensuring food security and promoting sustainable farming practices. In particular, their ability to fix atmospheric nitrogen improves soil fertility, making them integral to eco-friendly and resource-conserving agricultural systems. Fieldpea, commonly referred to as Kapucijner pea, dun (grey-brown) pea, belongs to the Fabaceae family, Faboideae subfamily and Fabeae tribe. It is a diploid (2n=2x=14), predominantly a self-pollinated crop and thought to be the native of Ethiopia, the Mediterranean and Central Asia (Amit et al., 2023a, Blixt, 1970). Fieldpea is an annual herbaceous plant with a robust tap root system, making it well-suited for dryland farming (Lenssen et al., 2018). Its adaptability to marginal and stress-prone environments makes it a valuable legume in climate-resilient cropping systems (Sharma et al., 2025).
       
Fieldpea, as being legume crop, is rich in protein (22.9%), carbohydrates (60.7%), ash (2.7%), fat (1.5%) and crude fiber (1.4%) with a caloric value of 343 kcal per 100 g (Duke, 1981). Like other crops, fieldpea is vulnerable to various abiotic and biotic stresses that significantly impact its sustainable production. As the population of world is increasing, so to meet out the demand of growing population there is need to increase the production and productivity of fieldpea. Their relatively low resource requirements also make them a sustainable option to ensure food security. Moreover, its inclusion in cereal-based systems improves nitrogen economy, reduces fertilizer inputs and enhances cropping system profitability (Parihar et al., 2020; Sharma et al., 2023). The effectiveness of a crop breeding program, for developing high-yielding varieties with specific traits, depends significantly on the accessibility of genetic resources and their effective utilization (Parihar et al., 2022). Currently, the global repository of fieldpea germplasm, stored in the field/seed gene banks of different countries is about 98,000 accessions which include various breeding lines, released varieties, mutants and wild species (Smýkal et al., 2013 and Warkentin et al., 2015).
       
Characterization and preliminary assessment constitute essential techniques that contribute to unraveling the scope and patterns of agro-morphological and molecular diversity within crop (Singh and Bhatt, 2012). The first step in categorizing crop germplasm involves morphological characterization (Amit et al., 2025; Ghafoor et al., 2003). Furthermore, a comprehensive understanding of genetic diversity is crucial for the effective management of gene banks and the strategic planning of experiments. To maintain, assess and utilize germplasm skillfully and effectively, a thorough examination of the extent of genetic diversity is imperative (Smith and Smith, 1989). DUS (Distinctness, Uniformity and Stability) descriptors encompass the morphological features of a plant, including traits such as size, shape, colour and other distinctive characteristics are employed as standardized criteria for this purpose (Rai et al., 2024; Mondal et al., 2014). More often than not the characters on which the breeders mull over to characterize the germplasm lines are not enough to distinguish them and are many a times influenced by environmental factors. Therefore, to differentiate different genotypes, stable and more reliable morphological descriptors, like DUS, are required. To support the aforementioned assertions, this research aimed to examine the DUS traits in both old cultivars as well as newly bred genotypes of fieldpea and to group them based on diversity.
One hundred fifty genotypes were evaluated using 20 agro-morphological DUS descriptors at three different locations (Pulses Research Area, CCS HAU, Hisar, CCS HAU Rice Research Station, Kaul and KVK, Ambala) during the two years i.e. Rabi 2022-23 and 2023-24 (six environments) in Alfa-lattice design with three replications at each location. All the studied genotypes were arranged in 15 blocks, with each block containing 10 genotypes and each line representing a single genotype with spacing of 45 cm × 10 cm. DUS (distinctness, uniformity and stability) testing guidelines, established by PPV and FRA (2001), Government of India, were employed to evaluate all these genotypes based on morphological traits. All these descriptors were observed at various stages of plant growth by visual observation of a group of plants or plant parts at a specific stage of the crop at all six environments.
       
The ordinal scale data of morphological characters was transformed into binary characters as per method of Sneath and Sokal (1973) that were reflecting the variations present in each trait. Hierarchical cluster analysis (HCA) based on the Average Linkage Between Groups Method, often called UPGMA (Unweighted pair-group method using arithmetic averages) along with Euclidean distances, was employed for estimating the genetic divergence among the studied fieldpea genotypes.
DUS traits based variability analysis
 
In the present study, an ample amount of variability was observed across almost all the examined traits, including stem anthocyanin coloration, stem colour, presence or absence of leaflets, flower colour, leaf axil colour, pod number per axil, pod shape at the distal end and seed surface, all of which displayed dimorphic variation. Foliage colour, plant height, seed shape and seed cotyledon colour exhibited tri-morphic variation, while only pod curvature showed tetra-morphic variation (Fig 1). Foliage waxy bloom, stipule rabbit eared stipules, type of stipule, days to 50% flowering and seed weight in all genotypes, indicated no variation, which makes these less useful descriptors for grouping of genotypes. Similar results were obtained by Tun et al. (2020); Srilatha et al. (2022); Bishnoi et al. (2023) and Anand et al. (2024). They observed variation for various traits viz., stem anthocyanin coloration, seed surface, seed cotyledon colour, number of pod per axil, foliage colour and seed cotyledon colour in fieldpea. These descriptors remained stable across three locations (Hisar, Ambala and Kaul) and can be extremely useful for characterizing fieldpea genotypes. Similarly, variation in stem anthocyanin coloration, leaflets, flower colour, leaf axil colour, pod number per axil, pod shape at the distal end, seed surface, foliage colour, seed shape and seed cotyledon colour were also observed by Yadav and Ravika (2014) and Anand et al. (2024). Table 1 displays the scoring of the twelve DUS descriptors that exhibited variation.

Fig 1: Depiction of variation and their frequency found in DUS descriptors of fieldpea.



Table 1: Scoring of twelve diverse DUS descriptors in 150 field pea genotypes.


 
Stem anthocyanincolouration
 
At the initiation of the first flower, a visual assessment was performed to ascertain stem colourand the presence or absence of anthocyanin pigment in the stem. Among the 150 genotypes studied, 128 (85.33%) genotypes showed no anthocyanin colouration in the stem (green stem colour), while the remaining 22 (14.67%) demonstrated anthocyanin colouration (purple stem colour).
 
Foliage colour
 
On the basis of foliage colour, fieldpea genotypes were categorized into three groups viz., light green, green and dark green. Scrutiny during the initiation of first flower by observing of a group of plants, it was found that out of total 150 genotypes, 28 (18.67%) genotypes were having light green foliage colour, 86 (57.33%) green and 36 (24.00%) dark green.
 
Leaf descriptors
 
Since photosynthesis and transpiration primarily take place in the leaf, so, it is crucial to consider leaf characteristics when assessing a crop plant’s production potential. Leaf descriptors include leaf, leaflets and leaf axil colour. The visual evaluation of leaflets and leaf axil colour was observed during initiation of first flower and it was observed that in 20 genotypes (13.33%) leaflets were absent and in 130 leaflets (86.67%) were present. Whereas, it was found that out of 150 genotypes, 131 (87.33%) showed no anthocyanin colouration in the leaf axil, while the remaining 19 (12.67%) displayed anthocyanin colouration in the leaf axil.
 
Flower colour
 
Flower colour is used as a consistent morphological marker to distinguish fieldpeagenotypes.The colour of standard petal of flower is categorized as either white, blue, pink, red or purple as per DUS descriptors. The purple colour of the pea is due to the accumulation of anthocyanins, while the white pea flowers lack these pigments. In our investigation, on visual assessment at initiation of first flower, most of the genotypes (144 i.e. 96.0%) exhibited white coloured standard petal and only 6 (4.0%) genotypes exhibited purple coloured standard petal.
 
Pod descriptors
 
Pod descriptors are crucial for the morphological characterization of genotypes, as they help in identification and are key indicators of yield potential and other agronomic traits. In the current study only single (31 genotype) and double (119 genotype) pods per axil were found, with frequencies of 20.67% and 79.33%, respectively. Whereas, pod curvature, at fully developed green pod, exhibited significant diversity, dividing the 150 fieldpea into four clear categories viz., absent, weak, medium and strong, with frequency of 48 (32%), 63 (42%), 34 (22.67%) and 5 (3.33%), respectively. Further, the shape of distal part of the pods was observed as pointed or blunt. In this study, among the 150 fieldpea genotypes, 73 genotypes (48.67%) had pointed distal end shape of pods, while the remaining 77 genotypes (51.33%) had blunt.
 
Plant height
 
It’s an important descriptor which classifies fieldpea in dwarf, medium and tall types. It has played a key role in overall improvement in productivity of fieldpeawhich was mainly achieved through conventional breeding for tailoring short plant height type which were lodging resistant (Parihar et al., 2022). In our study out of 150 genotypes, six genotypes (4.0%) were observed with short, 38 (25.33%) with medium and 112 (74.67%) with tall height.
 
Seed descriptors
 
The acceptance of premium fieldpea genotypes by consumers and the determination of their prices are influenced by various seed descriptors. Seed coat color, seed shape and seed dimpling are the major components of visual seed quality. Usually creamish, spherical shaped smooth seeds without dimples are preferred. On the basis of seed shape, out of 150 genotypes, 57 (38.00%) genotypes exhibited spherical seed shape, while 22 (14.67%) genotypes showed cylindrical and remaining 71 (47.33%) were categorised as dimpled seed shape. As far as seed cotyledon colour is considered, 72(48.00%) genotypes had creamy, while 38(25.33%) had green and 40 (26.67%) had yellow seed cotyledon colour. Furthermore, surface of seed either smooth or wrinkled was visualized by observing a number of mature seed. Out of total 150 genotypes 89 (59.33%) genotypes were classified as smooth, while 61(40.67%) had wrinkled seed surface. A similar study on seed descriptor was reported by Bishnoi et al. (2023) and Anand et al. (2024) in fieldpea.
 
Diversity analysis using DUS descriptors
 
Genetic divergence analysis is a crucial technique in plant breeding that assesses the variation among different genetic lines or varieties within a species. This analysis helps to identify the extent of genetic differences, which can be vital for selecting diverse parental lines for hybridization. In the present study, Hierarchical Cluster Analysis (HCA) based on the Average Linkage Between Groups Method, often called UPGMA (Unweighted pair-group method using arithmetic averages) along with Euclidean distances, was employed for estimating the genetic divergence among the studied fieldpea genotypes. The 150 fieldpea genotypes were grouped into five clusters based on their genetic divergence which are presented in Table 2 and Fig 2. The maximum number of genotypes were grouped into Cluster I (63 genotypes) followed by cluster IV (44) and cluster V (22). Whereas, lowest number of genotypes were observed in cluster III (6) followed by cluster II (15).

Table 2: Cluster wise grouping of fieldpea genotypes based on DUS descriptors.



Fig 2: Dendrogram depicting distribution of 150 fieldpea genotypes into five distinct clusters.


               
This suggests that genotypes from these clusters may be used as parents for hybridization programs to develop desirable types, as crosses between genetically divergent lines will generate heterotic segregants (Amit et al., 2023b). Previous studies of Shrestha et al. (2023) and Bishnoi et al. (2023) have also reported the grouping of pea genotypes into four and five clusters respectively.
Morphological characterization is crucial for obtaining essential information about a genotype and for determining its genetic purity. The Protection of Plant Varieties and Farmers’ Rights Authority (PPV and FR) requires the characterization and registration of both existing and new plant varieties, including those developed by farmers, as a part of national and botanical resources conservation. In the present study, an ample amount of variability was observed across almost all the traits examined, including stem anthocyanin coloration, stem colour, leaflets, flower colour, leaf axil colour, number of pod per axil, pod shape at the distal end and seed surface, which displayed dimorphic variation. Foliage colour, seed shape and seed cotyledon colour exhibited tri-morphic variation while, only pod curvature showed tetra-morphic variation. Overall, current DUS characterization of fieldpeagenotypes can serve as a valuable reference for future breeding programs, aiding in the identification and classification of distinct genotypes based on specific traits.
 
Funding
 
No external funding was received for this research.
 
Data availability statement
 
All data relevant to the manuscript are provided within the text.
The authors declare no conflicts of interest.

  1. Amit, Ravika, Yadav, R., Kaushik, D., Kavita, Yadav, K. and Rai, N.K. (2025). Exploring the correlated response and cause-effect relationship for yield and its attributing traits in fieldpea (Pisum sativum L.). Agriculture Science Digest. 43(1): 1-6. doi: 10.18805/ag.D-6064.

  2. Amit, Yadav, R., Ravika, Kaushik, D. and Rai, N.K. (2023b). Cluster analyses for various agro-morphological traits in fieldpea (Pisum sativum L.) genotypes. Biological Forum-An International Journal. 15(5): 351-355.

  3. Amit, Yadav, R., Ravika, Kaushik, D., Yadav, K. and Rai, N.K. (2023a). Genetic variability analysis for various morphological traits in field pea (Pisum sativum L.). The Pharma Innovation Journal. 12(5): 4301-4304.

  4. Anand, K.J., Singh, S.K., Nagre, S.P., Patel, T. and Moitra, P.K. (2024). Morphological characterization and diversity analysis in pea germplasm. Journal of Experimental Agriculture International. 46(7): 189-199.

  5. Bishnoi, R., Marker, S., Nayak, A.K., Basser, P. and Sharma, K.K. (2023). Morphological characterization and morphological traits based genetic diversity analysis of farmer’s pea (Pisum sativum L.) varieties of Uttar Pradesh using DUS descriptors, as per PPV and FRA, 2001. Legume Research- An International Journal. 46: 830-836. doi: 10.18805/ LR-4943.

  6. Blixt, S. (1970). PisumIn: Genetic resources in plants-Their exploration and conservation. International Biological Programme, Blackwell Scientific Publications. Oxford. 321-326. 

  7. Duke, J.A. (1981). Handbook of legumes of world economic importance. Plenum Press, New York. 199-265.

  8. Ghafoor, A., Ahmad, Z., Hashmi, N. I. and Bashir, M. (2003). Genetic diversity based on agronomic traits and SDS-PAGE markers in relation to geographic pattern of blackgram [Vigna mungo (L.) Hepper] Pakistan. Journal of Genetics and Breeding (Italy). 57: 5-14.

  9. Lenssen, A.W., Sainju, U.M., Jabro, J.D., Allen, B.L. and Stevens, W.B. (2018). Dryland pea production and water use responses to tillage, crop rotation and weed management practice. Agronomy Journal. 110(5): 1843-1853.

  10. Mondal, B., Singh, S.P. and Joshi, D.C. (2014). DUS characterization of rice (Oryza sativa L.) using morphological descriptors and quality parameters. Outlook on Agriculture. 43: 131- 137.

  11. Parihar, A.K., Dixit, G.P., Bohra, A., Sen Gupta, D., Singh, A.K., Kumar, N. and Singh, N.P. (2020). Genetic advancement in dry pea (Pisum sativum L.): Retrospect and prospect. Accelerated Plant Breeding, Food Legumes. 3: 283-341.

  12. Parihar, A.K., Yadav, R., Lamichaney, A., Mishra, R.K., Chandra, A., Gupta, D.S. and Dixit, G.P. (2022). Fieldpea breeding. In Fundamentals of Field Crop Breeding. Singapore: Springer Nature Singapore. pp 1237-1321.

  13. Rai, N.K., Ravika, Yadav, R., Amit and Kaushik, D. (2024). Morphological characterization and diversity assessment of mungbean [Vigna radiata (L.) Wilczek] genotypes using DUS descriptors as per PPV and FRA, 2001. Legume Research: An International Journal. 47(3): 361-369. doi: 10.18805/LR- 5264.

  14. Sharma, A., Yadav, R., Sheoran, R., Kaushik, D., Mohanta, T.K., Sharma, K. and Kaushik, P. (2023). Estimation of heterosis and the combining ability effect for yield and its attributes in field pea (Pisum sativum L.) using PCA and GGE biplots. Horticulturae. 9(2): 256.

  15. Sharma, A., Yadav, R., Sheoran, R., Kumar, P., Kaushik, D., Dhaka, K. and Sharma, A. (2025). Evaluation of genotype × environment  interactions for seed yield in field pea (Pisum sativum L.) genotypes using multivariate analysis model. Euphytica. 221(5): 58.

  16. Shrestha, D.S., Chaudhary, J.N., Ghimire, K.H., Shrestha, J. and Bhattarai, M. (2023). Agro morphological characterization and diversity assessment of pea (Pisum sativum L.) germplasm conserved in genebank of Nepal. International Journal of Research Publication and Reviews. 4(1): 422-435.

  17. Singh, A.K. and Bhatt, B.P. (2012). Faba bean: Unique germplasm explored and identified. HortFlora Research Spectrum. 1: 267-269.

  18. Smith, J.C. and Smith, O.S. (1989). The description and assessment of distances between inbred lines of maize. II: The utility of morphological biochemical and genetic descriptors and a scheme for the testing of distinctiveness between inbred lines. Maydica. 34: 151-161.

  19. Smýkal, P., Coyne, C., Redden, R. and Maxted, N. (2013). Genetic and Genomic Resources of Grain Legume Improvement: 3. Peas. Elsevier Inc. Chapters.

  20. Sneath, P.H.A. and Sokal, R.R. (1973). Numerical Taxonomy. The Principles and Practice of Numerical Classification. WF Freeman and Co., San Francisco. p. 573.

  21. Srilatha, L., Dubey, R.K. and Singh, S.K. (2022). Morphological characterization of fieldpea (Pisum sativum L.). Frontiers in Crop Improvement. 10: 126-133.

  22. Tun, T.T., Ravika, R., Yadav, R. and Man, S. (2020). DUS characterization of fieldpea genotypes (Pisum sativum L.) using morphological markers. International Journal of Current Microbiology and Applied Sciences. 9: 1978–1992. 

  23. Warkentin, T.D., Smýkal, P., Coyne, C.J., Weeden, N., Domoney, C., Bing, D.J. and Ellis, T.H.N. (2015). Pea. Grain Legumes. pp 37-83.

  24. Yadav R. and Ravika (2014). Characterization of fieldpea (Pisum sativum L.) genotypes for DUS descriptors. Haryana Agricultural University Journal of Research. 44: 29-38.

Editorial Board

View all (0)