Towards estimating the proportion of dead and missing vines at the field level
This work aimed to improve practices for estimating dead and missing vines, particularly when these estimations are made via sampling. Vine mortality is a well-known phenomenon that many studies have attempted to better explain, but only a few have focused on estimating the number of dead and missi...
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| Format: | Article |
| Language: | English |
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International Viticulture and Enology Society
2025-01-01
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| Series: | OENO One |
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| Online Access: | https://oeno-one.eu/article/view/8061 |
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| author | Baptiste OGER Cécile Laurent Philippe Vismara Bruno Tisseyre |
| author_facet | Baptiste OGER Cécile Laurent Philippe Vismara Bruno Tisseyre |
| author_sort | Baptiste OGER |
| collection | DOAJ |
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This work aimed to improve practices for estimating dead and missing vines, particularly when these estimations are made via sampling. Vine mortality is a well-known phenomenon that many studies have attempted to better explain, but only a few have focused on estimating the number of dead and missing vines at the field-level, which remains a challenging task for grapegrowers. The present article aimed to determine to what extend an increased an increased sampling effort improves estimation accuracy and thus help practitioners define a sample size adapted to vineyard properties and the accuracy expected by the grower. The first part of the study investigated whether vineyard properties (year of planting and variety) and available ancillary data (soil resistivity and fraction of vegetation cover [Fcover]) can provide a priori information on the proportion of dead and missing vines and guide the sampling strategy. The analysis was based on an exhaustive dataset created by individually mapping 14,199 dead and missing vines across 29 fields in a 20 ha vineyard. In this vineyard, regression models showed an increase in dead and missing vines of around 2.2 % per year from the tenth year onwards. Plantation year, variety and vigour (assessed by Fcover) were identified as providing valuable prior information on the proportion of dead and missing vines within the fields. The second part of the study focused on characterising the estimation error values that can result from these estimations. It focuses on sampling estimation, highlighting to what extent field properties (such as the number of dead and missing vines and their spatial autocorrelation) affect the accuracy of estimates. The results showed that the same sampling protocol can result in different accuracies from one field to another. Thus, they underline the importance of leveraging prior information, such as available field data, to tailor sampling efforts accordingly. Based on these results, this article introduces new guidelines to facilitate the estimation of the proportion of dead and missing vines in vineyards.
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| format | Article |
| id | doaj-art-65fc1900ea0544e887251c828a85f2b9 |
| institution | Kabale University |
| issn | 2494-1271 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | International Viticulture and Enology Society |
| record_format | Article |
| series | OENO One |
| spelling | doaj-art-65fc1900ea0544e887251c828a85f2b92025-01-13T11:10:01ZengInternational Viticulture and Enology SocietyOENO One2494-12712025-01-0159110.20870/oeno-one.2025.59.1.8061Towards estimating the proportion of dead and missing vines at the field levelBaptiste OGER0Cécile Laurent1Philippe Vismara2Bruno Tisseyre3ITAP, Univ. Montpellier, L'institut Agro Montpellier, INRAE, France Fruition Sciences, MIBI, 672 Rue du Mas de Verchant, 34000 Montpellier, FranceMISTEA, Univ. Montpellier, L'institut Agro Montpellier, INRAE, FranceITAP, Univ. Montpellier, L'institut Agro Montpellier, INRAE, France This work aimed to improve practices for estimating dead and missing vines, particularly when these estimations are made via sampling. Vine mortality is a well-known phenomenon that many studies have attempted to better explain, but only a few have focused on estimating the number of dead and missing vines at the field-level, which remains a challenging task for grapegrowers. The present article aimed to determine to what extend an increased an increased sampling effort improves estimation accuracy and thus help practitioners define a sample size adapted to vineyard properties and the accuracy expected by the grower. The first part of the study investigated whether vineyard properties (year of planting and variety) and available ancillary data (soil resistivity and fraction of vegetation cover [Fcover]) can provide a priori information on the proportion of dead and missing vines and guide the sampling strategy. The analysis was based on an exhaustive dataset created by individually mapping 14,199 dead and missing vines across 29 fields in a 20 ha vineyard. In this vineyard, regression models showed an increase in dead and missing vines of around 2.2 % per year from the tenth year onwards. Plantation year, variety and vigour (assessed by Fcover) were identified as providing valuable prior information on the proportion of dead and missing vines within the fields. The second part of the study focused on characterising the estimation error values that can result from these estimations. It focuses on sampling estimation, highlighting to what extent field properties (such as the number of dead and missing vines and their spatial autocorrelation) affect the accuracy of estimates. The results showed that the same sampling protocol can result in different accuracies from one field to another. Thus, they underline the importance of leveraging prior information, such as available field data, to tailor sampling efforts accordingly. Based on these results, this article introduces new guidelines to facilitate the estimation of the proportion of dead and missing vines in vineyards. https://oeno-one.eu/article/view/8061SamplingVineyardmortalityvine declinegrape varietyViticulture |
| spellingShingle | Baptiste OGER Cécile Laurent Philippe Vismara Bruno Tisseyre Towards estimating the proportion of dead and missing vines at the field level OENO One Sampling Vineyard mortality vine decline grape variety Viticulture |
| title | Towards estimating the proportion of dead and missing vines at the field level |
| title_full | Towards estimating the proportion of dead and missing vines at the field level |
| title_fullStr | Towards estimating the proportion of dead and missing vines at the field level |
| title_full_unstemmed | Towards estimating the proportion of dead and missing vines at the field level |
| title_short | Towards estimating the proportion of dead and missing vines at the field level |
| title_sort | towards estimating the proportion of dead and missing vines at the field level |
| topic | Sampling Vineyard mortality vine decline grape variety Viticulture |
| url | https://oeno-one.eu/article/view/8061 |
| work_keys_str_mv | AT baptisteoger towardsestimatingtheproportionofdeadandmissingvinesatthefieldlevel AT cecilelaurent towardsestimatingtheproportionofdeadandmissingvinesatthefieldlevel AT philippevismara towardsestimatingtheproportionofdeadandmissingvinesatthefieldlevel AT brunotisseyre towardsestimatingtheproportionofdeadandmissingvinesatthefieldlevel |