Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging

To explore the relationship between the attributes of the rice panicle and its weight parameters, 6 different rice cultivars from Sihong City, Jiangsu Province, China were selected for sampling in 2017. Then, their weight parameters were measured. The images of rice panicles were scanned to obtain g...

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Detalles Bibliográficos
Autores principales: Zheng, Haonan, Zhao, Sanqin, Liu, Yutao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838445/
https://www.ncbi.nlm.nih.gov/pubmed/31720325
http://dx.doi.org/10.1016/j.dib.2019.104667
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author Zheng, Haonan
Zhao, Sanqin
Liu, Yutao
author_facet Zheng, Haonan
Zhao, Sanqin
Liu, Yutao
author_sort Zheng, Haonan
collection PubMed
description To explore the relationship between the attributes of the rice panicle and its weight parameters, 6 different rice cultivars from Sihong City, Jiangsu Province, China were selected for sampling in 2017. Then, their weight parameters were measured. The images of rice panicles were scanned to obtain grain area. The significant correlation between the grain area and the panicle weight was found on the base of the analysis for the data obtained [1]. Now the weight and area data were present here for exploring the rapid yield estimation models and crop phenotype research.
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spelling pubmed-68384452019-11-12 Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging Zheng, Haonan Zhao, Sanqin Liu, Yutao Data Brief Agricultural and Biological Science To explore the relationship between the attributes of the rice panicle and its weight parameters, 6 different rice cultivars from Sihong City, Jiangsu Province, China were selected for sampling in 2017. Then, their weight parameters were measured. The images of rice panicles were scanned to obtain grain area. The significant correlation between the grain area and the panicle weight was found on the base of the analysis for the data obtained [1]. Now the weight and area data were present here for exploring the rapid yield estimation models and crop phenotype research. Elsevier 2019-10-15 /pmc/articles/PMC6838445/ /pubmed/31720325 http://dx.doi.org/10.1016/j.dib.2019.104667 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Zheng, Haonan
Zhao, Sanqin
Liu, Yutao
Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title_full Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title_fullStr Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title_full_unstemmed Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title_short Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
title_sort grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838445/
https://www.ncbi.nlm.nih.gov/pubmed/31720325
http://dx.doi.org/10.1016/j.dib.2019.104667
work_keys_str_mv AT zhenghaonan grainareadataandyieldcharacteristicsdatainrapidyieldpredictionbasedonricepanicleimaging
AT zhaosanqin grainareadataandyieldcharacteristicsdatainrapidyieldpredictionbasedonricepanicleimaging
AT liuyutao grainareadataandyieldcharacteristicsdatainrapidyieldpredictionbasedonricepanicleimaging

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