Development of a Simple Empirical Yield Predition Model Based on Dry Matter Production in Sweet Pepper
Author:
Watabe Takafumi1, Muramatsu Yukinari2, Homma Masaru2, Higashide Tadahisa2, Ahn Dong-Hyuk2
Affiliation:
1. Horticultural Research Institute, Ibaraki Agricultural Center , Kasama, Ibaraki , Japan 2. Institute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization , Tsukuba, Ibaraki , Japan
Abstract
Abstract
The development of models for yield prediction in greenhouse sweet peppers may help improve yield and labour productivity. We aimed to monitor the growth and yield of hydroponically grown sweet pepper plants without destructive sampling. First, we constructed a prediction model and validated it in a cultivation experiment. In the developed model, daily node appearance and light use efficiency were predicted from daily mean air temperature and daytime carbon dioxide (CO2) concentration. The daily light interception was obtained by non-destructive leaf area estimation. Second, we validated the model through the cultivation experiment. The predicted total dry matter production at 200 days after transplanting (DAT), 1,379 g/m2, fell within the range of the observed value, 1,353 ± 46 g/m2 (mean ± SE). The predicted and observed yields at 200 DAT were 7.90 kg/m2 and 7.73 ± 0.82 kg/m2, respectively. We approximately predicted node appearance, total dry matter production, and fruit yield, while partially succeeding in predicting leaf area index and dry matter partitioning to fruit. Our non-destructive prediction model can be an effective tool for growers and to improve the yield of sweet pepper production.
Publisher
Walter de Gruyter GmbH
Subject
Horticulture,Plant Science,Soil Science,Agronomy and Crop Science
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