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Dataset . 2023
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High spatial resolution dataset of grapevine yield components at the within-field level

Authors: Oger, Baptiste; Zhang, Yulin; Gras, Jean-Philippe; Valloo, Yoann; Faure, Pauline; Brunel, Guilhem; Tisseyre, Bruno;

High spatial resolution dataset of grapevine yield components at the within-field level

Abstract

This dataset comprises a comprehensive mapping of vine yield at the plant scale over two vine fields located in the southern region of France. Both vine fields were planted with the Vitis vinifera : cv. Syrah. The first field (Field 1) occupies 0.8 ha and data were collected in 2022, while the second field (Field 2) has an area of 0.5 ha and data were collected in 2008. Throughout the growing season, information regarding unproductive vines, inflorescence number, and bunch weight was collected for both vine fields. For both fields, at the flowering stage, the location of each productive and unproductive vines (dead and missing vines) was georeferenced, and the number of inflorescences was manually counted for all productive vines. For Field 1, at harvest, all bunches of the field were manually weighed with an accuracy of ±1 gram and georeferenced precisely (one point per vine). For each vine, total yield (grams per vine) was then computed as as the sum of the weight of its bunches. For Field 2, at harvest, the total yield per vine was estimated based on the weighing of representative bunches obtained from several regularly spaced set of 5 vines. In addition to the yield data, two ancillary data, including soil apparent resistivity measurements and common vegetative index derived from remote sensed imagery, are provided for both vine fields. Overall, the dataset consists of 3644 vines, with 2151 being productive, along with a total count of 33354 inflorescences and 21242 manually weighed bunches at harvest. Raw data includes 9 geopackage files (.gpkg), one per data type and per field: • “Field1_Dead_Missing_Vines.gpkg” (Figure 1.A) contains the location of missing and dead vine identified in Field 1; • “Field1_Inflorescences.gpkg” and “Field2_Inflorescences.gpkg” (Figure 1.B and Figure 1.C) both contain the location and the number of inflorescence per vine counted during flowering; • “Field1_Final_Yield.gpkg” and “Field2_ Final_Yield.gpkg” (Figure 1.D and Figure 1.E) both contain location and measured values of yield weight per vine at harvest. For Field 1, the list of the bunch weight is also available; • “Field1_Soil_Resistivity.gpkg” and “Field2_ Soil_Resistivity.gpkg” (Figure 1.F and Figure 1.G) contain the electrical resistivity measurements of the soil on each field; • “Field1_Vegetation_Index.gpkg” and “Field2_ Vegetation_Index.gpkg” (Figure 1.H and Figure 1.I) contain vegetation index values, NDVI (Normalized Difference Vegetation Index, without unit) for Field 1 and FCover (Fraction of vegetation Cover, in %) for Field 2. Aggregated data are composed of two csv files, one for each vine field. Both files aggregate all available yield data for each vine plant (either productive or other types). In both these csv files, each line represent a planted vine. They are 2614 planted vines for Field 1 and 1030 planted vines for Field 2. A Data in Brief article is associated to this dataset.

Related Organizations
Keywords

Soil resistivity, Grapes, Vegetation index, Missing vines, Spatial data, Dead vines

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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