Unverified paper record
Optimized Protocol for In Vitro Pollen Germination in Yam ( Dioscorea spp.).
Plants (Basel, Switzerland) · 18 Apr 2021 · 10.3390/plants10040795
Abstract
Yam ( Dioscorea spp.) plants are mostly dioecious and sometimes monoecious. Low, irregular, and asynchronous flowering of the genotypes are critical problems in yam breeding. Selecting suitable pollen parents and preserving yam pollen for future use are potential means of controlling these constraints and optimizing hybridization practice in yam breeding programs. However, implementing such procedures requires a robust protocol for pollen collection and viability testing to monitor pollen quality in the field and in storage. This study, therefore, aimed at optimizing the pollen germination assessment protocol for yam. The standard medium composition was stepwisely modified, the optimal growth condition was tested, and in vivo predictions were made. This study showed that the differences in yam pollen germination percentage are primarily linked to the genotype and growing conditions (i.e., medium viscosity, incubation temperature, and time to use) rather than the medium composition. The inclusion of polyethylene glycol (PEG) in the culture medium caused 67-75% inhibition of germination in D. alata . Although the in vivo fertilization was dependent on female parents, the in vitro germination test predicted the percentage fruit set at 25.2-79.7% and 26.4-59.7% accuracy for D. rotundata and D. alata genotypes, respectively. This study provides a reliable in vitro yam pollen germination protocol to support pollen management and preservation efforts in yam breeding.
Plant phenotyping relevance
ヤムの花粉発芽率を測定する in vitro 評価プロトコルの最適化と、受精・結実率による予測検証が研究の中心であり、植物形質の取得方法に該当する。
abstractThis study, therefore, aimed at optimizing the pollen germination assessment protocol for yam.
abstractThis study provides a reliable in vitro yam pollen germination protocol to support pollen management and preservation efforts in yam breeding.
abstractthe in vitro germination test predicted the percentage fruit set at 25.2-79.7% and 26.4-59.7% accuracy
Code and data availability
The article reports yam pollen germination measurements, but no public paper-specific dataset, images, code, or model repository is provided. The Data Availability Statement states all data are contained within the article itself, and the only external URL (FAOSTAT) is a generic statistical database cited as a generaly
No evidence-backed public reproduction asset is currently recorded.
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