Responses of leaf mass per area of cucumber seedlings to light with diurnal and day-to-day changes in photosynthetic photon flux density

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  • MATSUDA Ryo
    Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • SHINOHARA Moe
    Faculty of Agriculture, The University of Tokyo
  • YU Liyao
    Graduate School of Agricultural and Life Sciences, The University of Tokyo Present address: Department of Geography, National University of Singapore
  • FUJIWARA Kazuhiro
    Graduate School of Agricultural and Life Sciences, The University of Tokyo

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  • Responses of leaf mass per area of cucumber seedlings to light with diurnal and day‑to‑day changes in photosynthetic photon flux density

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<p>　We examined whether the method that we have recently proposed for quantitative estimation of leaf mass per area (LMA) in leaves grown under day-to-day changing photosynthetic photon flux density (PPFD) could be applied to conditions where PPFD also fluctuated during the daytime. The method utilizes the time-weighted average PPFD (Qwl) in which a greater weight was assigned to PPFD levels in recent days than in past days. Cucumber seedlings were treated for six days with seven light treatment patterns of day-to-day PPFD changes, each combined with two diurnal PPFD conditions: constant- and fluctuating-PPFD light during a 16-h d-1 photoperiod. The LMA tended to increase with increasing Qwl and was greater under diurnal constant-PPFD light than fluctuating-PPFD light in each of the seven day-to-day light treatment patterns. Regression analysis revealed a significant and highly linear relationship between LMA and Qwl in each of constant- and fluctuating-PPFD light conditions. Our result demonstrates that the concept of Qwl for quantitative estimation of LMA can be applied to light conditions where the PPFD level fluctuates not only day to day but also during the daytime, although some adjustments would be required to incorporate the effect of daytime PPFD fluctuations properly.</p>

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  • 農業気象

    農業気象 79 (4), 138-141, 2023

    日本農業気象学会

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