A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance
Climate change has a significant impact on rice grain appearance quality; in particular, high temperatures during the grain filling period increase the rate of chalky immature grains, reducing the marketability of rice. Heat-tolerant cultivars have been bred and released to reduce the rate of chalky...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924003214 |
| _version_ | 1797220276777254912 |
|---|---|
| author | Hitomi Wakatsuki Takahiro Takimoto Yasushi Ishigooka Motoki Nishimori Mototaka Sakata Naoya Saida Kosuke Akagi David Makowski Toshihiro Hasegawa |
| author_facet | Hitomi Wakatsuki Takahiro Takimoto Yasushi Ishigooka Motoki Nishimori Mototaka Sakata Naoya Saida Kosuke Akagi David Makowski Toshihiro Hasegawa |
| author_sort | Hitomi Wakatsuki |
| collection | DOAJ |
| description | Climate change has a significant impact on rice grain appearance quality; in particular, high temperatures during the grain filling period increase the rate of chalky immature grains, reducing the marketability of rice. Heat-tolerant cultivars have been bred and released to reduce the rate of chalky grain and improve rice quality under high temperatures, but the ability of these cultivars to actually reduce chalky grain content has never been demonstrated due to the lack of integrated datasets. Here, we present a dataset collected through a systematic literature search from publicly available data sources, for the quantitative analysis of the impact of meteorological factors on grain appearance quality of various rice cultivars with contrasted heat tolerance levels. The dataset contains 1302 field observations of chalky grain rates (%) - a critical trait affecting grain appearance sensitive to temperature shocks - for 48 cultivars covering five different heat-tolerant ranks (HTRs) collected at 44 sites across Japan. The dataset also includes the values of key meteorological variables during the grain filling period, such as the cumulative mean air temperature above the threshold temperature (TaHD), mean solar radiation, and mean relative humidity over 20 days after heading, obtained from a gridded daily meteorological dataset with a 1-km resolution developed by the National Agriculture and Food Research Organization. The dataset covers major commercial rice cultivars cultivated in Japan in different environmental conditions. It is a useful resource for analyzing the climate change impact on crop quality and assess the effectiveness of genetic improvements in heat tolerance. Its value has been illustrated in the research article entitled “Effectiveness of heat tolerance rice cultivars in preserving grain appearance quality under high temperatures - A meta-analysis”, where the dataset was used to develop a statistical model quantifying the effects of high temperature on grain quality as a function of cultivar heat tolerance. |
| first_indexed | 2024-04-24T12:46:58Z |
| format | Article |
| id | doaj.art-8f4404561ac6459f91284abbe0fd82c9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T12:46:58Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-8f4404561ac6459f91284abbe0fd82c92024-04-07T04:35:48ZengElsevierData in Brief2352-34092024-06-0154110352A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat toleranceHitomi Wakatsuki0Takahiro Takimoto1Yasushi Ishigooka2Motoki Nishimori3Mototaka Sakata4Naoya Saida5Kosuke Akagi6David Makowski7Toshihiro Hasegawa8Institute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, JapanInstitute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, JapanHokkaido Agricultural Research Center, NARO, 082-0081, JapanInstitute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, JapanKochi Prefectural Agricultural Research Center, Nankoku 783-0023, JapanKochi Prefectural Agricultural Research Center, Nankoku 783-0023, JapanKochi Prefectural Agricultural Research Center, Nankoku 783-0023, JapanApplied Mathematics and Computer Science (MIA-PS), INRAE AgroParisTech, Université Paris-Saclay, Palaiseau 91120, FranceInstitute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, Japan; Corresponding author.Climate change has a significant impact on rice grain appearance quality; in particular, high temperatures during the grain filling period increase the rate of chalky immature grains, reducing the marketability of rice. Heat-tolerant cultivars have been bred and released to reduce the rate of chalky grain and improve rice quality under high temperatures, but the ability of these cultivars to actually reduce chalky grain content has never been demonstrated due to the lack of integrated datasets. Here, we present a dataset collected through a systematic literature search from publicly available data sources, for the quantitative analysis of the impact of meteorological factors on grain appearance quality of various rice cultivars with contrasted heat tolerance levels. The dataset contains 1302 field observations of chalky grain rates (%) - a critical trait affecting grain appearance sensitive to temperature shocks - for 48 cultivars covering five different heat-tolerant ranks (HTRs) collected at 44 sites across Japan. The dataset also includes the values of key meteorological variables during the grain filling period, such as the cumulative mean air temperature above the threshold temperature (TaHD), mean solar radiation, and mean relative humidity over 20 days after heading, obtained from a gridded daily meteorological dataset with a 1-km resolution developed by the National Agriculture and Food Research Organization. The dataset covers major commercial rice cultivars cultivated in Japan in different environmental conditions. It is a useful resource for analyzing the climate change impact on crop quality and assess the effectiveness of genetic improvements in heat tolerance. Its value has been illustrated in the research article entitled “Effectiveness of heat tolerance rice cultivars in preserving grain appearance quality under high temperatures - A meta-analysis”, where the dataset was used to develop a statistical model quantifying the effects of high temperature on grain quality as a function of cultivar heat tolerance.http://www.sciencedirect.com/science/article/pii/S2352340924003214Chalky grainHigh temperatureClimate change adaptationSystematic literature searchOryza sativa |
| spellingShingle | Hitomi Wakatsuki Takahiro Takimoto Yasushi Ishigooka Motoki Nishimori Mototaka Sakata Naoya Saida Kosuke Akagi David Makowski Toshihiro Hasegawa A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance Data in Brief Chalky grain High temperature Climate change adaptation Systematic literature search Oryza sativa |
| title | A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance |
| title_full | A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance |
| title_fullStr | A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance |
| title_full_unstemmed | A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance |
| title_short | A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance |
| title_sort | dataset for analyzing the climate change response of grain quality of 48 japanese rice cultivars with contrasting levels of heat tolerance |
| topic | Chalky grain High temperature Climate change adaptation Systematic literature search Oryza sativa |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924003214 |
| work_keys_str_mv | AT hitomiwakatsuki adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT takahirotakimoto adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT yasushiishigooka adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT motokinishimori adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT mototakasakata adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT naoyasaida adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT kosukeakagi adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT davidmakowski adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT toshihirohasegawa adatasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT hitomiwakatsuki datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT takahirotakimoto datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT yasushiishigooka datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT motokinishimori datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT mototakasakata datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT naoyasaida datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT kosukeakagi datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT davidmakowski datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance AT toshihirohasegawa datasetforanalyzingtheclimatechangeresponseofgrainqualityof48japanesericecultivarswithcontrastinglevelsofheattolerance |