論文

査読有り 責任著者
2020年7月

Analysis of rice yield response to various cropping seasons to develop optimal cropping calendars in Mwea, Kenya

PLANT PRODUCTION SCIENCE
  • Hiroaki Samejima
  • ,
  • Keisuke Katsura
  • ,
  • Mayumi Kikuta
  • ,
  • Symon Mugo Njinju
  • ,
  • John Munji Kimani
  • ,
  • Akira Yamauchi
  • ,
  • Daigo Makihara

23
3
開始ページ
297
終了ページ
305
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/1343943X.2020.1727752
出版者・発行元
TAYLOR & FRANCIS LTD

Cropping calendar optimization contributes to an increase in rice yield. Information on the seasonal variation in grain yield and climate conditions is necessary to determine an appropriate cropping calendar. We sought to find the optimal cropping calendar in Mwea, Kenya, in a tropical highland in equatorial East Africa. We conducted a series of 58 experiments using a local popular rice variety, Basmati 370, between 2013 and 2016, using a secured water supply and adequate blast control, sowing every 15 days. The grain yield was 0-2 t ha(-1) when the variety was sown between March and June. This poor grain yield was attributable to the low temperature and low solar radiation from May to September. In contrast, the grain yield was always more than 3 t ha(-1) when the variety was sown between July and February. Sowing Basmati 370 between March and June is not recommended, because it may lead to a suboptimal yield due to cold stress. The current cropping calendar (July-December or August-January) is acceptable even under abundant year-round water supply, but sowing between October and February is a good alternative sowing period for single rice cropping. Rice production per year is expected to increase to >100% with the introduction of double cropping by adding cultivation from between January and February before the current cropping calendar. These findings serve as useful references for considering and determining the appropriate calendar options for single and double cropping of rice in tropical highlands in equatorial East Africa.

リンク情報
DOI
https://doi.org/10.1080/1343943X.2020.1727752
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000513811300001&DestApp=WOS_CPL
URL
https://www.tandfonline.com/doi/pdf/10.1080/1343943X.2020.1727752
ID情報
  • DOI : 10.1080/1343943X.2020.1727752
  • ISSN : 1343-943X
  • eISSN : 1349-1008
  • Web of Science ID : WOS:000513811300001

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