The optimum seeding and harvesting dates of sorghum–sudangrass hybrid (Sorghum bicolor L.) via optimum moving response surface methodology. (15th March 2020)

• Record Type: Journal Article
• Authors: Kim, Moonju; Kim, Ji Yung; Sung, Kyungil
• Is Part Of: Grassland science. Volume 67:Number 1(2021)
• Page Start: 3
• Page End: 11
• Publication Date: 2020-03-15
• Subjects: optimum moving response surface methodology -- optimum point -- response surface methodology -- seeding and harvesting dates -- sorghum -- sudangrass hybrid; Grasslands -- Periodicals; Grasslands -- Management -- Periodicals; 578.74
• DOI: 10.1111/grs.12279
• Languages: English
• ISSNs: 1744-6961

Abstract

Abstract: 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.