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The optimum seeding and harvesting dates of sorghum–sudangrass hybrid ( Sorghum bicolor L . ) via optimum moving response surface methodology
Author(s) -
Kim Moonju,
Kim Ji Yung,
Sung Kyungil
Publication year - 2021
Publication title -
grassland science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 19
eISSN - 1744-697X
pISSN - 1744-6961
DOI - 10.1111/grs.12279
Subject(s) - seeding , response surface methodology , sorghum , mathematics , forage , yield (engineering) , dry matter , agricultural engineering , agronomy , biology , statistics , materials science , engineering , metallurgy
In general, determining suitable seeding and harvesting times is important in achieving high yields of forage crops in terms of both physiology and ecology. To determine the optimum point, the response surface methodology (RSM) is well known in agricultural science. This study aimed to establish optimum seeding and harvesting dates and to verify the variation of dry matter yield (DMY) for sorghum–sudangrass hybrid (SSH), by determining what we called the “optimum moving RSM” proposed to optimize the RSM in the metadata. The SSH metadata consist of individual experiments ( n = 856) that were performed to check the optimum seeding and harvesting dates using classic RSM. However, the SSH metadata failed to produce a single effective equation to determine the optimum seeding and harvesting dates due to the different characteristics of the experimental design. Therefore, the optimum moving RSM was introduced. As a result, we found that the optimum seeding and harvesting dates were clear, based on a single quadratic function. The maximum DMY at the optimum seeding and harvesting dates (the 4th of May and 23rd of September, respectively) was 25,404.50 and 23,697.01 kg/ha, respectively. SSH yield decreases rapidly from 10 days after the optimum date, and seeding and harvesting should be performed within 5 days to ensure a stable yield. Furthermore, the optimum moving RSM is expected to be useful to establish the optimum point in the metadata.