Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia

Abstract The presence of the field border (FB), such as roadways or unplanted areas, between two fields is common in Asian farming system. This study evaluated the effect of the FB on the cross-pollination (CP) and predicted the CP rate in the field considering and not considering FB. Three experime...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yuan-Chih Su, Cheng-Bin Lee, Tien-Joung Yiu, Bo-Jein Kuo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/19962f5d1af740869cb896b6bd58d9bd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:19962f5d1af740869cb896b6bd58d9bd
record_format	dspace
spelling	oai:doaj.org-article:19962f5d1af740869cb896b6bd58d9bd2021-11-14T12:23:00ZIncorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia10.1038/s41598-021-01583-x2045-2322https://doaj.org/article/19962f5d1af740869cb896b6bd58d9bd2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01583-xhttps://doaj.org/toc/2045-2322Abstract The presence of the field border (FB), such as roadways or unplanted areas, between two fields is common in Asian farming system. This study evaluated the effect of the FB on the cross-pollination (CP) and predicted the CP rate in the field considering and not considering FB. Three experiments including 0, 6.75, and 7.5 m width of the FB respectively were conducted to investigate the effect of distance and the FB on the CP rate. The dispersal models combined kernel and observation model by calculating the parameter of observation model from the output of kernel. These models were employed to predict the CP rate at different distances. The Bayesian method was used to estimate parameters and provided a good prediction with uncertainty. The highest average CP rates in the field with and without FB were 74.29% and 36.12%, respectively. It was found that two dispersal models with the FB effect displayed a higher ability to predict average CP rates. The correlation coefficients between actual CP rates and CP rates predicted by the dispersal model combined zero-inflated Poisson observation model with compound exponential kernel and modified Cauchy kernel were 0.834 and 0.833, respectively. Furthermore, the predictive uncertainty was reducing using the dispersal models with the FB effect.Yuan-Chih SuCheng-Bin LeeTien-Joung YiuBo-Jein KuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yuan-Chih Su Cheng-Bin Lee Tien-Joung Yiu Bo-Jein Kuo Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
description	Abstract The presence of the field border (FB), such as roadways or unplanted areas, between two fields is common in Asian farming system. This study evaluated the effect of the FB on the cross-pollination (CP) and predicted the CP rate in the field considering and not considering FB. Three experiments including 0, 6.75, and 7.5 m width of the FB respectively were conducted to investigate the effect of distance and the FB on the CP rate. The dispersal models combined kernel and observation model by calculating the parameter of observation model from the output of kernel. These models were employed to predict the CP rate at different distances. The Bayesian method was used to estimate parameters and provided a good prediction with uncertainty. The highest average CP rates in the field with and without FB were 74.29% and 36.12%, respectively. It was found that two dispersal models with the FB effect displayed a higher ability to predict average CP rates. The correlation coefficients between actual CP rates and CP rates predicted by the dispersal model combined zero-inflated Poisson observation model with compound exponential kernel and modified Cauchy kernel were 0.834 and 0.833, respectively. Furthermore, the predictive uncertainty was reducing using the dispersal models with the FB effect.
format	article
author	Yuan-Chih Su Cheng-Bin Lee Tien-Joung Yiu Bo-Jein Kuo
author_facet	Yuan-Chih Su Cheng-Bin Lee Tien-Joung Yiu Bo-Jein Kuo
author_sort	Yuan-Chih Su
title	Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
title_short	Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
title_full	Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
title_fullStr	Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
title_full_unstemmed	Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia
title_sort	incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in asia
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/19962f5d1af740869cb896b6bd58d9bd
work_keys_str_mv	AT yuanchihsu incorporatingthefieldbordereffecttoreducethepredicteduncertaintyofpollendispersalmodelinasia AT chengbinlee incorporatingthefieldbordereffecttoreducethepredicteduncertaintyofpollendispersalmodelinasia AT tienjoungyiu incorporatingthefieldbordereffecttoreducethepredicteduncertaintyofpollendispersalmodelinasia AT bojeinkuo incorporatingthefieldbordereffecttoreducethepredicteduncertaintyofpollendispersalmodelinasia
_version_	1718429214570446848

Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia

Ejemplares similares