Traditional family households in Japan, like the ones with full-time housewife, have been largely replaced by dual-income households as well as single-person households. This trend has changed the way how vegetables are consumed within and outside households. According to the Ministry of Agriculture, Forestry and Fisheries, nearly 60% of vegetables are now shipped to processing for ready-made meals as well as to food service industry. Unlike households as end users, the commercial users tend to make a strict schedule as to date and quantity of vegetables they aim to purchase, while vegetable growers are requested to prepare the commodities along the schedule. Intermediate wholesalers, who play the coordinating role between commercial users and growers, wish to know in advance the detailed schedule of harvesting for a given region or area. To facilitate the role of the coordinators, it is necessary to develop a practical method to determine the optimum harvest timing, which is currently lacking. The objective of the present study was therefore to investigate potential methods, using field experiment datasets, on Japanese radish (Raphanus sativus L.) and cabbage (Brassica oleracea L. var. capitata), the major vegetables consumed in large quantities in Japan. As for Japanese radish, the crop whose harvestable part is hidden in the soil, two methods were employed based on the relationships between accumulated air temperature and fresh root weight (M1) as well as between cumulative light interception and dry matter weight of the crop (M2). As for cabbage whose harvestable part is visible in the field, alternative two methods were employed based on the relationships between accumulated air temperature and height-to-diameter ratio of head (M3) as well as density of head (M4). M3 gives information as to the formation process of the shape of a cabbage head, which changes gradually from a sphere to an oval sphere-like shape, while M4 shows the degree of its filling. Results are summarized as follows. By using M1, the optimum harvest timing of Japanese radish in two years out of the three-year dataset, was estimated to be 83 and 81 days after sowing (DAS), which were good estimates, considering the state of the roots harvested around those DAS. As for the remaining year, however, it was estimated to be 107 DAS, even though sufficient fresh weight of root was observed at 95 DAS already in the field experiment. This discrepancy between the estimated and the observed DAS was largely attributable to relatively low temperature during growth period in that particular year. Contrary to M1, M2 gave similar estimates for three years including the specific year previously mentioned, i.e., 86, 84 and 83 DAS. M2 is thus considered to excel M1. To further improve the accuracy of M2-based decision making, it is desirable to estimate a leaf area index (LAI) curve, the essential part to derive M2, for every year, which is without doubt labor intensive and costly. Taking several patterns of LAI curves, for example, for usual, cool and warm years could be a practical compromise to handle the issue. As for cabbage, M3 gave a good estimate as to the optimum harvest timing, i.e., 86 and 75 days after planting (DAP) in two years of the field experiment, while M4 gave greater values, 104 and 87 DAP in the same two years. The estimated harvest timings resulting from M3 and M4 were both plausible, judging from the state of the cabbage heads harvested around those DAP. An interesting point was that M3 was suited for determining the beginning of harvest window, and M4 for giving information as to the end of harvest window, as cabbage heads were observed to start bursting after the density of head reached the threshold value of 0.68 g cm−3. Combining M3 and M4 is therefore suggested to practically determine the optimum harvest window of cabbage.
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