Characterization of canopy structure for high-yield performance of greenhouse-grown satsuma mandarins using direct measurements and indirect estimations

Taku Yano, Daisuke Yasutake, Yoshinobu Kiyosue

研究成果: ジャーナルへの寄稿学術誌査読

抄録

Under assuming that high-yield canopy structure would be simply explained by a given index, orchard productivity of greenhouse-grown early-flowering satsuma mandarins “Miyagawa wase” was assessed using conventional modified-open-center-training and trellis-training methods. This was done by using universal indices that assist with determining yield in relation to canopy structure. Leaf area index was the optimum index for determining fruit yield. Empirical extinction coefficients showed negative linear trends with yield. Either plant area index, estimated by using a plant canopy analyzer, and crown cover showed poor correlation with fruit yield. To effectively predict yield from leaf area index, a direct measurement is recommended rather than an indirect optical method. Trellis-trained trees were superior to modified-open-center-trained trees. This is because trellis-trained trees had higher fruit productivity up untill 10 yeas old, and because 15-year-olds had better canopy light distrubution patterns when compared with modified open-center-trained trees. Based on the costs associated with planting seedlings and the labor-efficiency due to width of free alley, trellis-training 2.2 m×1.0 m plots was optimum for planting. In this study, even when accounting for the measurement error of woody elements, empirical extinction coefficients was a good index to base yield productivity. This is because this index directly represents vertical canopy light distribution. Additionally, the clumping index, calculated by using direct measurement and indirect optical method, was suggested to relate to canopy light distribution, however, further study must be essential.

本文言語英語
ページ(範囲)19-30
ページ数12
ジャーナルjournal of agricultural meteorology
78
1
DOI
出版ステータス出版済み - 2022

!!!All Science Journal Classification (ASJC) codes

  • 農業および作物学
  • 大気科学

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