Advertisement

Euphytica

, 214:111 | Cite as

Genetic analysis of fruit traits and selection of superior clonal lines in Akebia trifoliate (Lardizabalaceae)

  • Shuaiyu Zou
  • Xiaohong Yao
  • Caihong Zhong
  • Tingting Zhao
  • Hongwen Huang
Article
  • 117 Downloads

Abstract

Akebia trifoliata belongs to the Lardizabalaceae family of flowering plants, has tremendous potential as a new fruit crop for further domestication and commercialization in China. However, the selection of A. trifoliata is extremely limited due to lack of information about basic inheritance of fruit traits. In this study, 11 key fruit characters, including single fruit weight (SFW), fruit length (FL), fruit width (FW), peel thickness (PT), peel weight (PW), soluble solids content (SSC), seed weight (SW), pulp weight (PuW), edible ratio (ER), hundred-grain weight (HGW) and seed number (SN) were evaluated, and genetic parameters were analyzed. The results showed that the 11 tested traits have high repeatability range from 0.87 to 0.95. Correlation analysis showed that SFW was positively correlated with FL, FW, PT, PW and PuW, but negatively correlated with ER. The Smith–Hazel-index based multitrait selection was used to select superior lines. The SH selection index identified superior lines with high SFW and ER, and low SN. Taken together, our results provide important information for domestication and breeding program of Akebia trifoliate.

Keywords

Akebia trifoliata Domestication Repeatability Genetic correlations Smith–Hazel index 

Notes

Acknowledgements

This work was supported by the Plant Germplasm Innovation Program, Science and Technology Service Network Initiative, Chinese Academy of Sciences (ZSZC-007).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Baker RJ (1974) Selection indexes without economic weights for animal breeding. Can J Anim Sci 54(1):1–8CrossRefGoogle Scholar
  2. Banziger M, Lafitte HR (1997) Efficiency of secondary traits for improving maize for low-nitrogen target environments. Crop Sci 37(4):1110–1117CrossRefGoogle Scholar
  3. Cotterill PP, Dean CA (1990) Successful tree breeding with index selection. CSIRO, MelbourneGoogle Scholar
  4. Eshghi R, Ojaghi J, Salayeva S (2011) Genetic gain through selection indices in hulless barley. Int J Agric Biol 13(2):191–197Google Scholar
  5. Falconer DS (1989) Introduction to quantitative genetics. Longman Sci. Tech, New YorkGoogle Scholar
  6. Gao HM, Wang ZM (2006) Triterpenoid saponins and phenylethanoid glycosides from stem of Akebia trifoliata var. australis. Phytochemistry 67(24):2697–2705CrossRefPubMedGoogle Scholar
  7. Gebre-Mariam H, Larter EN (1996) Genetic response to index selection for grain yield, kernel weight and per cent protein in four wheat crosses. Plant Breed 115(6):459–464CrossRefGoogle Scholar
  8. Hazel LN (1943) The genetic basis for constructing selection indexes. Genetics 28(6):476–490PubMedPubMedCentralGoogle Scholar
  9. Holland JB, Nyquist WE, Cervantes-Martínez CT (2003) Estimating and interpreting heritability for plant breeding: an update. Plant Breed Rev 22:9–112Google Scholar
  10. Jiangsu New Medical College (1977) Dictionary of Chinese herbal medicine. Shanghai Science and Technology Press, ShanghaiGoogle Scholar
  11. Kawasaki T, Higuchi R (1976a) Pericarp saponins of Akebia quinata decene I. Glycosides of hederagenin and oleanolic acid. Chem Pharm Bull 24:1021–1032CrossRefGoogle Scholar
  12. Kawasaki T, Higuchi R (1976b) Pericarp saponins of Akebia quinata decene II. Arjunolic and norarjunolic acids, and their glycosides. Chem Pharm Bull 24:1314–1323CrossRefGoogle Scholar
  13. Li L, Yao XH, Zhong CH, Chen XZ, Huang HW (2010) Akebia: a potential new fruit crop in China. HortScience 45(1):4–10Google Scholar
  14. Liu LP, Qian ZX (2002) Determination of nutritional components in fruit of Akebia trifoliate Koidz. J Southeast Guizhou Natl Teach Coll 20:39–41Google Scholar
  15. Luo K, Jahufer MZZ, Zhao H, Zhang R, Wu F, Yan Z, Zhang J, Wang Y (2018) Genetic improvement of key agronomic traits in Melilotus albus. Crop Sci 58(1):285–294CrossRefGoogle Scholar
  16. Majidi MM, Mirlohi A, Amini F (2009) Genetic variation, heritability and correlations of agro-morphological traits in tall fescue (Festuca arundinacea Schreb.). Euphytica 167(3):323–331CrossRefGoogle Scholar
  17. Moll RH, Stuber CW (1974) Quantitative genetics-empirical results relevant to plant breeding. Adv Agron 26:277–313CrossRefGoogle Scholar
  18. Nyquist WE, Baker RJ (1991) Estimation of heritability and prediction of selection response in plant populations. Crit Rev Plant Sci 10(3):235–322CrossRefGoogle Scholar
  19. Paiva JR, Alves RE, Melo FIO, Cordeiro ER, Almeida AS (2002) Genetic progress of selections between and within Caribbean cherry open pollination progenies. Crop Breed Appl Biotechnol 2:299–306CrossRefGoogle Scholar
  20. Paula RCd, Pires IE, Borges RdCG, Cruz CD (2002) Predição de ganhos genéticos em melhoramento florestal (Prediction of genetic gains in forest improvement). Pesqui Agropecu Bras 37(2):159–165CrossRefGoogle Scholar
  21. Qin HN (1997) A taxonomic revision of the Lardizabalaceae. Cathaya 8–9:52–76Google Scholar
  22. Smith HF (1936) A discriminant function for plant selection. Ann Eugen 7:240–250CrossRefGoogle Scholar
  23. Teixeira DHL, de Oliveira MDP, Goncalves FMA, Nunes JAR (2012) Selection index for simultaneously improving fruit production components of assai palm. Pesqui Agropecu Bras 47(2):237–243CrossRefGoogle Scholar
  24. Vencovsky R, Barriga P (1992) Biometric genetics in plant breeding. Brazilian Society of Genetics, Ribeirão PretoGoogle Scholar
  25. Wang DZ, Li F, Yan J, Zhong HM (2004) Study and application of nutritional components of wild plant Var australis (Diels) Rehd. Amino Acids Biot Resourc 26:16–17Google Scholar
  26. Xu JR (2006) Quantitative genetics in forestry. Higher Education Press, BeijingGoogle Scholar
  27. Yu Y (1989) Correlation and selection responses of flowering time with other traits in the Davis population of gerbera. MS Dissertation, University of California, DavisGoogle Scholar
  28. Zhong CH, Bu FW, Wang ZY, Peng DF (2006) Fruit development and biological characteristics of seedling progenies of Akebia trifoliata. Hum Agric Sci 45(1):27–29Google Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Shuaiyu Zou
    • 1
    • 2
    • 3
  • Xiaohong Yao
    • 4
  • Caihong Zhong
    • 4
  • Tingting Zhao
    • 4
  • Hongwen Huang
    • 1
    • 2
  1. 1.Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenThe Chinese Academy of SciencesGuangzhouChina
  2. 2.Guangdong Provincial Key Laboratory of Applied BotanyGuangzhouChina
  3. 3.College of Life SciencesUniversity of Chinese Academy of SciencesBeijingChina
  4. 4.Key Laboratory of Plant Germplasm Enhancement and Speciality Agriculture, Wuhan Botanical GardenThe Chinese Academy of SciencesWuhanChina

Personalised recommendations