Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars

In vitro germination assays are frequently used in screening trials to evaluate the pollen viability of pollinizers. To be effective, screening trials must have defined threshold criteria, from which individuals can then be assessed. However, despite decades of research on pollen viability, no estab...

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Main Authors: Stefan Roeder, Sara Serra, Stefano Musacchi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Plants
Subjects:
Online Access:https://www.mdpi.com/2223-7747/10/7/1460
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spelling doaj-ec9586693264497a8812346152b37ca62021-07-23T14:02:03ZengMDPI AGPlants2223-77472021-07-01101460146010.3390/plants10071460Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple CultivarsStefan Roeder0Sara Serra1Stefano Musacchi2Tree Fruit Research and Extension Center, Department of Horticulture, Washington State University, Wenatchee, WA 98801, USATree Fruit Research and Extension Center, Department of Horticulture, Washington State University, Wenatchee, WA 98801, USATree Fruit Research and Extension Center, Department of Horticulture, Washington State University, Wenatchee, WA 98801, USAIn vitro germination assays are frequently used in screening trials to evaluate the pollen viability of pollinizers. To be effective, screening trials must have defined threshold criteria, from which individuals can then be assessed. However, despite decades of research on pollen viability, no established threshold is available to categorize apple cultivars based on their in vitro pollen tube lengths. This study aimed to identify and characterize the subgroups of cultivars based on their pollen tube growth performance. In vitro pollen tube lengths of 41 individuals were determined by incubating samples on artificial germination media at 15 and 25 °C. A six-number summary statistic was calculated, and hierarchical clustering on principal component (HCPC) analysis was used to determine and characterize subgroups. Furthermore, a decision tree model was used to predict class membership for future datasets. HCPC analysis partitioned the 41 individuals into three subgroups with different performances. The decision tree quickly predicted the cluster membership based on the second quartile at 15 °C and the third quartile at 25 °C. The thresholds from the decision tree can be used to characterize new observations. The use of the methods will be demonstrated using a case study with 29 apple accessions.https://www.mdpi.com/2223-7747/10/7/1460pollen viability<i>Malus domestica</i> (Borkh.)in vitro pollen germination assaycategorization
collection DOAJ
language English
format Article
sources DOAJ
author Stefan Roeder
Sara Serra
Stefano Musacchi
spellingShingle Stefan Roeder
Sara Serra
Stefano Musacchi
Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
Plants
pollen viability
<i>Malus domestica</i> (Borkh.)
in vitro pollen germination assay
categorization
author_facet Stefan Roeder
Sara Serra
Stefano Musacchi
author_sort Stefan Roeder
title Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
title_short Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
title_full Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
title_fullStr Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
title_full_unstemmed Novel Metrics to Characterize In Vitro Pollen Tube Growth Performance of Apple Cultivars
title_sort novel metrics to characterize in vitro pollen tube growth performance of apple cultivars
publisher MDPI AG
series Plants
issn 2223-7747
publishDate 2021-07-01
description In vitro germination assays are frequently used in screening trials to evaluate the pollen viability of pollinizers. To be effective, screening trials must have defined threshold criteria, from which individuals can then be assessed. However, despite decades of research on pollen viability, no established threshold is available to categorize apple cultivars based on their in vitro pollen tube lengths. This study aimed to identify and characterize the subgroups of cultivars based on their pollen tube growth performance. In vitro pollen tube lengths of 41 individuals were determined by incubating samples on artificial germination media at 15 and 25 °C. A six-number summary statistic was calculated, and hierarchical clustering on principal component (HCPC) analysis was used to determine and characterize subgroups. Furthermore, a decision tree model was used to predict class membership for future datasets. HCPC analysis partitioned the 41 individuals into three subgroups with different performances. The decision tree quickly predicted the cluster membership based on the second quartile at 15 °C and the third quartile at 25 °C. The thresholds from the decision tree can be used to characterize new observations. The use of the methods will be demonstrated using a case study with 29 apple accessions.
topic pollen viability
<i>Malus domestica</i> (Borkh.)
in vitro pollen germination assay
categorization
url https://www.mdpi.com/2223-7747/10/7/1460
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