NARO historical phenotype dataset from rice breeding

DOI Web Site Web Site 研究データあり 被引用文献1件 参考文献38件 オープンアクセス
  • Matsushita Kei
    Research Center for Agricultural Information Technology (RCAIT), National Agriculture and Food Research Organization (NARO) Institute of Crop Science (NICS), NARO
  • Onogi Akio
    Research Center for Agricultural Information Technology (RCAIT), National Agriculture and Food Research Organization (NARO) Faculty of Agriculture, Ryukoku University
  • Yonemaru Jun-ichi
    Research Center for Agricultural Information Technology (RCAIT), National Agriculture and Food Research Organization (NARO) Institute of Crop Science (NICS), NARO

この論文をさがす

説明

<p>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.</p>

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (38)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ