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Estimates of genotypic and yearly variations on fruit quality and functional traits for tetraploid table grape breeding

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Abstract

We estimated genetic and environmental variance components for fruit quality traits (cluster weight, berry weight, soluble solids content, total sugar content, sugar composition, free acid content, total amino acid content, amino acid composition), and a functional trait (gamma-aminobutyric acid (GABA) content) of three commercial tetraploid table grape cultivars (Kyoho, Pione, Suiho) grown in Japan over three successive years. ANOVA showed that the effect of genotype was significant (P < 0.05) for all traits except soluble solids content and total sugar content. The effect of the year was significant for all traits except amino acid composition (γ ratio) and GABA content. The variance of genotype (σ 2 g ) was highest for γ ratio (63.6%), high in sugar composition (α ratio, 60.3%) and GABA content (58.8%), and negligible for soluble solids content (0.0%) and total sugar content (0.0%). The variance of among years (σ 2 y ) was very high in soluble solids content (82.8%), high in total sugar content (60.2%) and negligibly small in γ ratio (8.7%) and GABA content (6.4%). Some effects of genotype × year interaction, among vines within genotypes, and vine × year interaction were statistically significant, but these components were negligibly small. Except for soluble solids content and total sugar content, significant varietal differences in the traits were recorded. Variance estimates for each trait provides useful information for optimal yearly repetition to effectively discriminate genetic differences in fruit quality and functional traits for improving future tetraploid table grape breeding programs.

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References

  • Amerine MA, Berg HW, Kunkee RE, Ough CS, Singleton VL, Webb AD (1982) The composition of grapes. In: Amerine MA, Berg HW, Kunkee RE, Ough CS, Singleton VL, Webb AD (eds) The technology of wine making, 4th edn. AVI Publishing Company, Westport, pp 77–139

    Google Scholar 

  • Coombe BG (1992) Research on development and ripening of the grape berry. Am J Enol Viticult 43:101–110

    Google Scholar 

  • Di Cagno R, Mazzacane F, Rizzello CG, De Angelis M, Giuliani G, Meloni M (2010) Synthesis of gamma-aminobutyric acid (GABA) by Lactobacillus plantarum DSM19463: functional grape must beverage and dermatological applications. Appl Microbiol Biotechnol 86:731–741

    Article  PubMed  Google Scholar 

  • Eibach R (1990) Investigations about the influence of some physiological and pheonological characteristics on quality and their heredity. In: Proc 5th Int Symp Grape Breeding, Vitis Special Issue pp 149–158

  • Eichhorn KW, Lorenz DH (1977) Phänologosche entwicklungsstadien der rebe. Nachrichtenblatt Deutschrn. Pflanzenschutzdienstes (Braunschweig) 29:119–120

    Google Scholar 

  • Falconer DS (1960) Introduction to quantitative genetics. Longman, London

    Google Scholar 

  • Firoozabady E, Olmo HP (1987) Heritability and correlation studies of certain quantitative traits in table grapes, Vitis spp. Vitis 26:132–146

    Google Scholar 

  • Hansche PE (1983) Response to selection. In: Moore JN, Janick J (eds) Methods in fruit breeding. Purdue University Press, West Lafayette, pp 154–171

    Google Scholar 

  • Hansche PE, Beres V (1966) An analysis of environmental variability in sweet cherry (Prunus avium L.). Proc Am Soc Hort Sci 88:173–183

    Google Scholar 

  • Hansche PE, Brooks RM (1965) Temporal and spatial repeatabilities of a series of quantitative characters in sweet cherry (Prunus avium L.). Proc Am Soc Hort Sci 86:120–128

    Google Scholar 

  • Hansche PE, Hesse CO, Beres V (1972) Estimates of genetic and environmental effects on several traits in peach. J Am Soc Hort Sci 97:76–79

    Google Scholar 

  • Kaltsikes PJ (1970) Genotype-environment interaction variances in yield trials of fall rye. Can J Plant Sci 50:77–80

    Article  Google Scholar 

  • Kester DE, Hansche PE, Beres V, Asay RN (1977) Variance components and heritability of nut and kernel traits in almond. J Am Soc Hort Sci 102:264–266

    Google Scholar 

  • Kliewer WM, Ough CS (1970) The effect of leaf area and crop level on the concentration of amino acids and total nitrogen in ‘Thomson Seedless’ grapes. Vitis 9:196–206

    Google Scholar 

  • Liang Z, Yang C, Yang J, Wu B, Wang L, Cheng J, Li S (2009) Inheritance of anthocyanins in berries of Vitis vinifera. Euphytica 167:113–125

    Article  CAS  Google Scholar 

  • Liu H-F, Wu B-H, Fan P-G, Xu H-Y, Li S-H (2007) Inheritance of sugars and acids in berries of grape (Vitis vinifera L.). Euphytica 153:99–107

    Article  CAS  Google Scholar 

  • Machida Y, Kozaki I (1975) Quantitative studies on the fruit quality for Japanese pear (Pyrus serotina Rheder) breeding. I. Statistical analysis of cultivar populations. J Jpn Soc Hort Sci 44:235–240

    Article  Google Scholar 

  • Mullins MG, Bouquet A, Williams LE (1992) Developmental physiology: flowering and fruiting. In: Mullins MG, Bouquet A, Williams LE (eds) Biology of the grapevine. Cambridge University Press, Cambridge, pp 112–146

    Google Scholar 

  • Mycroft H (1983) Variability of yields in cereal variety × fungicide trials. J Agr Sci 100:535–538

    Article  Google Scholar 

  • Ough CS (1968) Proline content of grapes and wines. Vitis 7:321–331

    CAS  Google Scholar 

  • Patterson HD, Silvey V, Talbot M, Weatherup STC (1977) Variability of yields of cereal varieties in UK trials. J Agr Sci 89:239–245

    Article  Google Scholar 

  • Rankine BC, Cellier KM, Boehm W (1962) Studies on grape variability and field sampling. Am J Enol Viticult 13:58–72

    CAS  Google Scholar 

  • Rasmusson DC, Lambert JW (1961) Variety × environment interactions in barley variety tests. Crop Sci 1:261–262

    Article  Google Scholar 

  • Reisch BI, Pratt C (1996) Grapes. In: Janick J, Moore JN (eds) Fruit breeding, Vol. 2: vine and small fruits. Wiley, New York, pp 297–369

    Google Scholar 

  • Ribereau-Gayon P, Dubourdieu D, Doneche B, Lonvaud A (2000) The grape and its maturation. In: Ribereau-Gayon P, Dubourdieu D, Doneche B, Lonvaud A (eds) Handbook of enology vol. 1. The microbiology of wine and vinifications. Wiley, New York, pp 219–268

    Google Scholar 

  • Sato A, Yamada M, Iwanami H, Hirakawa N (2000) Optimal spatial and temporal measurement repetition for reducing environmental variation of berry traits in grape breeding. Sci Hort 85:75–83

    Article  Google Scholar 

  • Sekioka TT, Lauer FI (1970) Some estimates of genotype × environment interactions in potato variety tests. Am Potato J 47:304–309

    Article  Google Scholar 

  • Shaw DV, Royce SB, Victor V (1987) Genetic variation for quality traits in an advanced-cycle breeding population of strawberries. J Am Soc Hort Sci 112:699–702

    Google Scholar 

  • Shiraishi M (1993) Three descriptors for sugars to evaluate grape germplasm. Euphytica 71:99–106

    Article  Google Scholar 

  • Shiraishi M (1995) Proposed descriptors for organic acids to evaluate grape germplasm. Euphytica 81:13–20

    Article  Google Scholar 

  • Shiraishi M (1996) Proposed biochemical descriptors for amino acids to evaluate grape germplasm. J Jpn Soc Hort Sci 65:283–289

    Article  CAS  Google Scholar 

  • Shiraishi M (2006) Grapes. In: Horticulture in Japan, Japan Soc. Hort. Sci. (JSHS), Nakanishi Printing, Kyoto pp 42–50

  • Shiraishi M, Fujishima H, Chijiwa H (2010) Evaluation of table grape genetic resources for sugar, organic acid, and amino acid composition of berries. Euphytica 174:1–13

    Article  CAS  Google Scholar 

  • Shorter R, Norman RJ (1983) Cultivar × environment interactions for kernel yield in Virginia type peanuts (Arachis hypogaea L.) in Queensland. Aust J Agric Res 3:415–426

    Article  Google Scholar 

  • Snedecor GW, Cochran WG (1967) Statistical Methods, 6th edn. Iowa State College Press, Ames

    Google Scholar 

  • Swallow WH, Wehner TC (1989) Optimum allocation of plots to years, seasons, locations and replications, and its application to once-over-harvest cucumber trials. Euphytica 43:59–68

    Article  Google Scholar 

  • Wei X, Sykes SR, Clingeleffer PR (2002) An investigation to estimate genetic parameters in CSIRO’s table grape breeding program. 2. Quality characteristics. Euphytica 128:343–351

    Article  CAS  Google Scholar 

  • Winkler AC, Cook JA, Kliewer WM, Lider LA (1974) Development and composition of grapes. In: Winkler AC, Cook JA, Kliewer WM, Lider LA (eds) General viticulture. University of California Press, Berkeley, pp 138–196

    Google Scholar 

  • Wolpert JA, Howell GS, Cress CE (1980) Sampling strategies for estimates of cluster weight, soluble solids and acidity of ‘Concord’ grapes. J Am Soc Hort Sci 105:434–438

    Google Scholar 

  • Yamada M, Yamanae H, Yoshinaga K, Ukai Y (1993) Optimal spatial and temporal measurement repetition for selection in Japanese persimmon breeding. HortScience 28:838–841

    Google Scholar 

Download references

Acknowledgments

We are grateful to Mrs. Harumi Maeda (2007) and Mrs. Chiemi Hirayama (2008 and 2009), Fukuoka Agricultural Research Center, Fukuoka, for technical assistance with berry sampling and chemical analysis.

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Correspondence to Mikio Shiraishi.

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Shiraishi, M., Fujishima, H., Chijiwa, H. et al. Estimates of genotypic and yearly variations on fruit quality and functional traits for tetraploid table grape breeding. Euphytica 185, 243–251 (2012). https://doi.org/10.1007/s10681-011-0562-3

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  • DOI: https://doi.org/10.1007/s10681-011-0562-3

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