NARO historical phenotype dataset from rice breeding

Copyright © 2024 by JAPANESE SOCIETY OF BREEDING.

Bibliographische Detailangaben
Veröffentlicht in:Breeding science. - 1998. - 74(2024), 2 vom: 01. Apr., Seite 114-123
1. Verfasser: Matsushita, Kei (VerfasserIn)
Weitere Verfasser: Onogi, Akio, Yonemaru, Jun-Ichi
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Breeding science
Schlagworte:Journal Article BLUP NARO PCA historical data release year rice yield
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520 |a Data from breeding, including phenotypic information, may improve the efficiency of breeding. Historical data from breeding trials accumulated over a long time are also useful. Here, by organizing data accumulated in the National Agriculture and Food Research Organization (NARO) rice breeding program, we developed a historical phenotype dataset, which includes 6052 records obtained for 667 varieties in yield trials in 1991-2018 at six NARO research stations. The best linear unbiased predictions (BLUPs) and principal component analysis (PCA) were used to determine the relationships with various factors, including the year of cultivar release, for 15 traits, including yield. Yield-related traits such as the number of grains per panicle, plant weight, grain yield, and thousand-grain weight increased significantly with time, whereas the number of panicles decreased significantly. Ripening time significantly increased, whereas the lodging degree and protein content of brown rice significantly decreased. These results suggest that panicle-weight-type high-yielding varieties with excellent lodging resistance have been selected. These trends differed slightly among breeding locations, indicating that the main breeding objectives may differ among them. PCA revealed a higher diversity of traits in newer varieties 
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650 4 |a historical data 
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700 1 |a Onogi, Akio  |e verfasserin  |4 aut 
700 1 |a Yonemaru, Jun-Ichi  |e verfasserin  |4 aut 
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