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Depiction of Grapevine Phenology by Gene Expression Information and a Test of its Workability in Guiding Fertilization

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Abstract

The development of precision agriculture calls for the emergence of new approaches to more accurately depict plant phenology. Gene expression data can predict and indicate plant growth state and phenological events accurately at the molecular level, and thus could be developed as a novel means of describing crop phenophase. Here, we analyzed the expression profiles of nine genes involved in grapevine flower and berry development, and screened the most informative genes for use in depicting grapevine phenology. Of the genes tested, VvAP1, VvAP3, VvFLC were found to be best suited to depicting grapevine phenology. The feasibility and efficiency of using the genetically depicted grapevine phenology was further tested in fertilization trials. The results showed that fertilization could be used to decrease flower and berry drop ratio and increase berry weight and size to a greater extent when taking into account variations in the activity of specific genes. Thus, phenologies predicted by a knowledge of gene activity can definitely be formed, and can be regarded as “genetic phenology”. A first grapevine genetic phenology profile was completed, and used to pre-depict grapevine phenophases to accurately guide the timing of grapevine farming activities and in the pre-diagnosis of the influence of some stresses on grapevines. Genetic phenology could be developed into a simple, low-cost and highly effective technology for accurate prediction of traditional crop phenology at the molecular level that is well suited to precision agriculture.

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Acknowledgments

This work was supported by a Project Funded by the Natural Science Foundation of China (NSFC) (No. 31301759), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Chinese Postdoctoral Science Foundation (2013M531373), Postdoctoral Science Foundation of Jiangsu Province(1301116C), the Nanjing Agricultural University Youth Science and Technology Innovation Fund (KJ2013013) and the Special Fund for Independent innovation of Agricultural Science and Technology in Jiangsu province (SCX(11)2044).

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  1. College of Horticulture, Nanjing Agricultural University, Nanjing City, Jiangsu Province, People’s Republic of China

    Chen Wang, Jian Han, Lingfei Shangguan, Guang Yang, Emrul Kayesh, Yanyi Zhang, Xiangpeng Leng & Jinggui Fang

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  1. Chen Wang
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  2. Jian Han
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  3. Lingfei Shangguan
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  7. Xiangpeng Leng
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  8. Jinggui Fang
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Correspondence to Jinggui Fang.

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Table S1

The expression levels of five genes related to nitrogen metabolism in control and fertilizer treatments. (DOCX 21 kb)

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Wang, C., Han, J., Shangguan, L. et al. Depiction of Grapevine Phenology by Gene Expression Information and a Test of its Workability in Guiding Fertilization. Plant Mol Biol Rep 32, 1070–1084 (2014). https://doi.org/10.1007/s11105-014-0711-7

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