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Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods
The data presented in this article contains information on 189 rice breeders from 51 rice-growing countries around the world. Firstly, this unique dataset permits to lay down a baseline of currently used breeding methods. Secondly, the data allow to make an assessment of the adoption behavior of ric...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660548/ https://www.ncbi.nlm.nih.gov/pubmed/31372429 http://dx.doi.org/10.1016/j.dib.2019.103782 |
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author | Lenaerts, Bert Collard, Bertrand C.Y. de Mey, Yann Demont, Matty |
author_facet | Lenaerts, Bert Collard, Bertrand C.Y. de Mey, Yann Demont, Matty |
author_sort | Lenaerts, Bert |
collection | PubMed |
description | The data presented in this article contains information on 189 rice breeders from 51 rice-growing countries around the world. Firstly, this unique dataset permits to lay down a baseline of currently used breeding methods. Secondly, the data allow to make an assessment of the adoption behavior of rice breeders towards alternative breeding methods, and in specific rapid generation advance. A global online survey in Google Forms was conducted to obtain information about the different aspects of the adoption process. Both the raw and cleaned data are made available, along with Stata code to promote further research into adoption of breeding methods by public and private breeding institutes. |
format | Online Article Text |
id | pubmed-6660548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66605482019-08-01 Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods Lenaerts, Bert Collard, Bertrand C.Y. de Mey, Yann Demont, Matty Data Brief Agricultural and Biological Science The data presented in this article contains information on 189 rice breeders from 51 rice-growing countries around the world. Firstly, this unique dataset permits to lay down a baseline of currently used breeding methods. Secondly, the data allow to make an assessment of the adoption behavior of rice breeders towards alternative breeding methods, and in specific rapid generation advance. A global online survey in Google Forms was conducted to obtain information about the different aspects of the adoption process. Both the raw and cleaned data are made available, along with Stata code to promote further research into adoption of breeding methods by public and private breeding institutes. Elsevier 2019-02-27 /pmc/articles/PMC6660548/ /pubmed/31372429 http://dx.doi.org/10.1016/j.dib.2019.103782 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 Lenaerts, Bert Collard, Bertrand C.Y. de Mey, Yann Demont, Matty Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title | Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title_full | Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title_fullStr | Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title_full_unstemmed | Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title_short | Global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
title_sort | global survey data on rice breeders' characteristics and willingness to adopt alternative breeding methods |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660548/ https://www.ncbi.nlm.nih.gov/pubmed/31372429 http://dx.doi.org/10.1016/j.dib.2019.103782 |
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