African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6576

Full Length Research Paper

Grape pre-evaluation by berry-leaf biochemistry quantitative correlation analysis

Yong Yang
  • Yong Yang
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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Miandi Ma
  • Miandi Ma
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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Hanbo Zhang
  • Hanbo Zhang
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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Mingquan Yuan
  • Mingquan Yuan
  • School of Chemistry and Chemical Engineering, Yunnan University, Kunming 650091, China.
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Wei Zhu
  • Wei Zhu
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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Jin Ning
  • Jin Ning
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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Weixi Yang
  • Weixi Yang
  • College of Food and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
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Mingzhi Yang
  • Mingzhi Yang
  • Institute of Plant Science, School of Life Science, Yunnan University, Kunming 650091, China.
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  •  Received: 11 September 2015
  •  Accepted: 29 October 2015
  •  Published: 10 December 2015

Abstract

The quality and characteristics of grape are fundamentally determined by its biochemical components. Quantitative detection of these components in berries is a classic method to evaluate grapevine resources. However, fruits are not always available for the new generated grape plantlets due to their long juvenile stage (3 to 4 years), as well as for many other potential valuable germplasm resources, such as wild grapes. Therefore, an effective berry-independent method for grapevine evaluation should have great significance. Data were provided from both leaves and berries for 2 groups of grapevine: one group is 12 genotype different varieties or species from environmental similar collections; the other group is one variety of wine grape with 18 different treatments. After quantitative correlation tests, 9 in total 11 detected parameters in genotype different (GD) group and 5 in 9 detected parameters in treatment different (TD) group, respectively, were significantly correlated between leaf and berry, respectively were found. Higher correlation coefficients were found in GD group than in TD group. Parameters of leaf reducing sugar, total flavonoids and superoxide anion scavenging capacity were found significantly correlated to berry, in both groups. These parameters with significant correlation may potentially be used as metabolite markers to estimate the qualities and characters of some new grapevine germplasm, by using the obtained data from leaves. The prospects of this leave-dependent evaluation method have also been discussed in this report.

Key words: Leaf-dependent berry evaluation, leaf/berry quantitative correlation, parameter pair, inter-parameters pair.