Alternative methodology for screening responsive cultivars to elevated atmospheric CO2 concentration in crops

2015 Fiscal Year Final Research Report

• Project/Area Number: 25292011
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Crop production science
• Research Institution: Iwate University
• Principal Investigator: Shimono Hiroyuki 岩手大学, 農学部, 准教授 (70451490)
• Co-Investigator(Kenkyū-buntansha): TANAKA Yu 京都大学, 農学研究科, 助教 (50634474) ; KAWASAKI Michio 弘前大学, 農学生命科学部, 准教授 (30343213) ; YOSHIHIRA Taiki 酪農学園大学, 循環農学類, 教授 (50240346) ; AOKI Naoto 東京大学, 農学生命科学研究科, 助教 (70466811) ; KUMAGAI Etsushi 独立農業法人農業・食品産業技術総合研究機構, 東北農業研究センター, 研究員 (80583442) ; SHIRAIWA Tatsuhiko 京都大学, 農学研究科, 教授 (30154363) ; SASAKI Haruto 東京大学, 農学生命科学研究科, 准教授 (60225886)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 品種選抜 / 大気CO2 / 生産性 / イネ / ダイズ

Outline of Final Research Achievements

To feed future world population, adaptive cultivar against increasing atmospheric CO2, which increase photosynthesis, biomass and productivity, is an option to boost crop productivity. The purpose of this research is to identify alternative, cheap and reliable methodologies to screen responsive cultivars to future elevated CO2 without using CO2 fumigation facilities for crops, rice and soybean. Six hypotheses were tested, (1) low CO2 chamber method, (2) stomatal sensitivity method, (3) planting geometry method, (4) Finlay Wilkinson regression method, (5) Rural-Urban gradient method, (6) natural CO2 spring method. We concluded that (3) planting geometry method and (4) Finlay Wilkinson regression method can be used for alternative screening method without using CO2 fumigation facilities.

Free Research Field

作物学