Genetic Resources and Crop Evolution

, Volume 66, Issue 7, pp 1587–1599 | Cite as

Effect of genotype and environment on agronomical characters of common vetch (Vicia sativa L.)

  • Rui Dong
  • Shu H. Shen
  • Mohamed Z. Z. Jahufer
  • De K. Dong
  • Dong Luo
  • Qiang Zhou
  • Xu T. Chai
  • Kai Luo
  • Zhi B. Nan
  • Yan R. WangEmail author
  • Zhi P. LiuEmail author
Research Article


Common vetch (Vicia sativa L.) is an important legume which is widely distributed around the world and an excellent forage and green manure crop, which could provide hay for pastoral areas in northwestern China, where feed is scarce during winter and early spring. However, there is currently limited information on genetic variation for some agronomic traits of common vetch, such as shattering rate, herbage yield, and seed yield. In our study, genotypic variation, phenotypic and genotypic correlations were estimated for 18 traits among 418 germplasms accessions of common vetch across 2 years, 2015 and 2016. All the traits evaluated had significant (P < 0.05) genotypic variation. Genotype-by-year interaction for all traits was significant (P < 0.05). The estimates of mean repeatability for the traits across 2 years ranged from 0.1316 for seed yield to 0.8571 for shattering rate. Three common vetch accessions groups were identified with low shattering rate, high herbage yield and high seed yield. Accession groups with a potential to breeding pools were also identified using pattern analysis. The results showed that the trait SR was significantly negatively correlated with DW and SY, which provided key information for common vetch breeding program with low shattering rate, high herbage yield and high seed yield.


Agro-morphology Genotypic variation Genotype-by-environment interactions Germplasm resources evaluation Vicia sativa L. 



This research was supported by the National Basic Research Program of China (2014CB138704), and the National Natural Science Foundation of China (31672476 and 31722055). The authors express their sincere thanks to the US National Plant Germplasm System (NPGS) for providing the accessions used in the study. We also acknowledge Rui Zhang, Xiaoli Tao, Xitao Jia, Cunzhi Jia, Xuhong Zhao and Junchao Zhang in Lanzhou University for their valuable help and advice.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Data availability

The datasets generated during and/or analyzed during the current study are available from the authors upon request.

Supplementary material

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  1. Annese V, Cazzato E, Corleto A (2006) Quantitative and qualitative traits of natural ecotypes of perennial grasses (Dactylis glomerata L., Festuca arundinacea Schreb., Phalaris tuberosa L., Brachypodium rupestre (Host) R. et S.) collected in southern Italy. Genet Resour Crop Ev 53:431–441CrossRefGoogle Scholar
  2. Aydoǧdu L, Açikgöz E (2010) Effect of seeding rate on seed and hay yield in common vetch (Vicia sativa L.). J Agron Crop Sci 174:181–187CrossRefGoogle Scholar
  3. Berger JD, Robertson LD, Cocks PS (2002) Genotype × environment interaction for yield and other plant attributes among undomesticated mediterranean Vicia species. Euphytica 126:421–435CrossRefGoogle Scholar
  4. Blum A (1966) The influence of plant density on the morphological characters and seed production of common vetch (Vicia sativa L.). Exp Agr 2:61–67CrossRefGoogle Scholar
  5. Cakmakci S, Acikgoz E (2010) Components of seed and straw yield in common vetch (Vicia sativa L.). Plant Breed 113:71–74CrossRefGoogle Scholar
  6. Cakmakci S, Aydinoglu B, Karaca M, Bilgen M (2006) Heritability of yield components in common vetch (Vicia sativa L.). Acta Agr Scand 56:54–59Google Scholar
  7. Chung JW, Kim TS, Suresh S, Lee SY, Cho GT (2013) Development of 65 novel polymorphic cDNA-SSR markers in common vetch (Vicia sativa subsp. sativa) using next generation sequencing. Molecules 18:8376CrossRefGoogle Scholar
  8. Dong R, Jahufer MZZ, Dong DK, Wang YR, Liu ZP (2016a) Characterisation of the morphological variation for seed traits among 537 germplasm accessions of common vetch (Vicia sativa L.) using digital image analysis. New Zeal J Agr Res 59:422–435CrossRefGoogle Scholar
  9. Dong R, Liu ZP, Dong DK, Luo D, Zhou Q, Chai XT, Zhang JY, Xie WG, Liu WX, Dong Y, Wang YR, Liu ZP (2017) Transcriptome analyses reveal candidate pod shattering-associated genes involved in the pod ventral sutures of common vetch (Vicia sativa L.). Front Plant Sci 8:649Google Scholar
  10. Dong R, Liu ZP, Wang YR, Dong DK (2016b) Instrument and method for evaluating the rate of pod shattering of Vicia sativa. Chinese Patent ZL201510347598.6. Date issued: 23 MarchGoogle Scholar
  11. Dudley JW, Moll RH (1969) Interpretation and use of estimates of heritability and genetic variances in plant breeding. Crop Sci 9:257–262CrossRefGoogle Scholar
  12. El-Moneim AMA (1993) Agronomic potential of three vetches (Vicia spp.) under rainfed conditions. J Agron Crop Sci 170:113–120CrossRefGoogle Scholar
  13. Falconer DS (1989) Introduction to quantitative genentics. Longman Scientific and Technical, EssexGoogle Scholar
  14. Fehr WR (1987) Principles of cultivar development, vol 1. Collier Macmillan Publishers, New YorkGoogle Scholar
  15. Firincioglu HK (2014) A comparison of six vetches (Vicia spp.) for developmental rate, herbage yield and seed yield in semi-arid central Turkey. Grass Forage Sci 69:303–314CrossRefGoogle Scholar
  16. Firincioglu HK, Erbektas E, Dogruyol L, Mutlu Z, Ünal S, Karakurt E (2009) Phenotypic variation of autumn and spring-sown vetch (Vicia sativa ssp.) populations in central Turkey. Span J Agric Res 7:596–606CrossRefGoogle Scholar
  17. Fırıncıoğlu HK, Unal S, Pank Z, Beniwal SPS (2012) Growth and development of narbon vetch (Vicia narbonensis L.) genotypes in the semi-arid central Turkey. Span J Agric Res 10:430–442CrossRefGoogle Scholar
  18. Fracchiolla M, Lasorella C, Laudadio V, Cazzato E (2018) Trifolium mutabile as new species of annual legume for mediterranean climate zone: first evidences on forage biomass, nitrogen fixation and nutritional characteristics of different accessions. Agriculture 8:113CrossRefGoogle Scholar
  19. Fu BJ, Zhang QJ, Chen LD, Zhao WW, Gulinck H, Liu GB, Yang QK, Zhu YG (2006) Temporal change in land use and its relationship to slope degree and soil type in a small catchment on the Loess Plateau of China. CATENA 65:41–48CrossRefGoogle Scholar
  20. Gabriel KR (1971) The biplot graphical display of matrices with application to principal component analysis. Biometrika 58:453–467CrossRefGoogle Scholar
  21. Ghafoor A, Sharif A, Ahmad Z, Zahid MA, Rabbani MA (2001) Genetic diversity in blackgram (Vigna mungo L. Hepper). Field Crop Res 69:183–190CrossRefGoogle Scholar
  22. Hallauer AR, Miranda JB (1981) Quantitative genetics in maize breeding. Iowa State University Press, AmesGoogle Scholar
  23. Humphreys MO (1991) A genetic approach to the multivariate differentiation of perennial ryegrass (Lolium perenne L.) populations. Heredity 66:437–443CrossRefGoogle Scholar
  24. Jahufer MZZ, Casler M (2015) Application of the smith-hazel selection index for improving biomass yield and quality of switchgrass. Crop Sci 55:1212–1222CrossRefGoogle Scholar
  25. Jahufer MZZ, Cooper M, Ayres JF, Bray RA (2002) Identification of research to improve the efficiency of breeding strategies for white clover in Australia-a review. Aust J Agr Res 53:239–257CrossRefGoogle Scholar
  26. Jahufer MZZ, Da C, Nichols S, Crush J, Li O, Dunn A (2006) Phenotyping and pattern analysis of key root morphological traits in a white clover mapping population. In: Advances in pasture plant breeding: papers from the 13th Australasian Plant Breeding Conference, pp 18–21Google Scholar
  27. Julier B, Huyghe C, Ecalle C (2000) Within and among-cultivar genetic variation in alfalfa: forage quality, morphology, and yield. Crop Sci 40:365–369CrossRefGoogle Scholar
  28. Kaiser WJ, Ramsey MD, Makkouk KM, Bretag TW, Açikgöz N, Kumar J, Nutter FW (2000) Foliar diseases of cool season food legumes and their control. Linking research and marketing opportunities for pulses in the 21st century, third international food legumes research conference. Springer, DordrechtGoogle Scholar
  29. Kroonenberg PMK (1994) The TUCKALS line: a suite of programs for three-way data analysis. Comput Stat Data Anal 18:73–96CrossRefGoogle Scholar
  30. Li XL (2004) Grassland degradation in China. Special report presented to the Chinese Ministry of Agriculture, ChineseGoogle Scholar
  31. Liu ZP, Chen TL, Ma LC, Zhao ZG, Zhao PX, Nan ZB, Wang YR (2013) Global transcriptome sequencing using the Illumina platform and the development of EST-SSR markers in autotetraploid alfalfa. PLoS ONE 8:e83549CrossRefGoogle Scholar
  32. Liu ZP, Liu P, Luo D, Liu WX, Wang YR (2014) Exploiting illumina sequencing for the development of 95 novel polymorphic EST-SSR markers in common vetch (Vicia sativa subsp. sativa). Molecules 19:5777–5789CrossRefGoogle Scholar
  33. Luo K, Jahufer MZZ, Wu F, Di HY, Zhang DY, Meng XC, Zhang JY, Wang YR (2016) Genotypic variation in a breeding population of yellow sweet clover (Melilotus officinalis). Front Plant Sci 7:972Google Scholar
  34. Nan ZB (2005) The grassland farming system and sustainable agricultural development in China. Grassl Sci 51:15–19CrossRefGoogle Scholar
  35. Nan ZB, El-Moneim AMA, Larbi A, Nie B (2006) Productivity of vetches (Vicia spp.) under alpine grassland conditions in China. Trop Grasslands 40:177–182Google Scholar
  36. Orak A, NiZam I (2009) Genotype × environment interaction and stability analysis of some narbonne vetch (Vicia narbonensis L.) genotypes. Agr Sci Tech 4:108–112Google Scholar
  37. Ren JZ, Xu G, Li XL, Lin HL, Tang Z (2016) Trajectory and prospect of China’s prataculture. Chin Sci Bull 61:178–192CrossRefGoogle Scholar
  38. Sayar MS (2014) Path coefficient and correlation analysis between forage yield and its affecting components in common vetch (Vicia sativa L.). Legume Res 37:445–452CrossRefGoogle Scholar
  39. Suzuki M, Fujino K, Funatsuki H (2009) A major soybean QTL, qPDH1, controls pod dehiscence without marked morphological change. Plant Prod Sci 12:217–223CrossRefGoogle Scholar
  40. Tan M, Koç A, Dumlu Gül Z, Elkoca E, Gul I (2013) Determination of dry matter yield and yield components of local forage pea (Pisum sativum ssp. arvense L.) ecotypes. Tar Bil Der 19:289–296CrossRefGoogle Scholar
  41. van de Wouw M, Maxted N, Ford-Lloyd BV (2003) Agro-morphological characterisation of common vetch and its close relatives. Euphytica 130:281–292CrossRefGoogle Scholar
  42. Watson SL, DeLacy IH, Podlich DW, Basford KE (1995) GEBEIL: an analysis package using agglomerative hierarchical classificatory and SVD ordination procedures for genotype × environment data. Centre for Statistics Research Report, Department of Agriculture, University of Queensland, Brisbane, AustraliaGoogle Scholar
  43. White TL, Hodge GR (1989) Predicting breeding values with applications in forest tree improvement, vol 33. Kluwer Academic, Boston, MACrossRefGoogle Scholar
  44. Zhang Y, He ZH, Zhang A, Ginkel MV, Pena RJ, Ye GY (2006) Pattern analysis on protein properties of Chinese and CIMMYT spring wheat cultivars sown in China and CIMMYT. Euphytica 147:409–420CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
  2. 2.Grasslands Research CentreAgResearch LimitedPalmerston NorthNew Zealand

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