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

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.

Assessment of planting soil temperature and growing degree day impacts on silage corn (Zea mays L.) biomass

“…Test site effect within the central region were also considered as a random effect. The data from 188 trials were standardized through parallel movement to converge the projected biomass curves [24]. The regression analysis was conducted using Proc REG of SAS 9.4 with the corn silage data of each maturity group against STP or GDD, and finally, Proc RSREG was applied to estimate the biomass response surface for the optimum response ridge (SAS/STAT ® 14.2).…”

“…The response surface method was an approach to evaluate the interactive impacts of STP and GDD on corn biomass by combining those two factors at the same dimension (Figure 4), even though the impact of STP or GDD was investigated separately in the trials. As Kim et al [24] demonstrated with sorghum-sudangrass (Sorghum bicolor L.) hybrid data, the method could present the impact of STP and GDD on sorghum biomass. However, as found with the data, interactions between STP and GDD were not confirmed in early and medium-maturity corn.…”

Assessment of weather events impacts on forage production trend of sorghum-sudangrass hybrid

“…In general, the first harvest of sorghum-sudangrass hybrid in Korea is closely related to the monsoon season. Since the estimated forage production decreased after 5 days from the expected optimal harvesting time [ 24 ], the length of monsoon season determined by the frequency of heavy rainfall is also an important factor in forage production. Thus, it was recommended to seed and harvest within 5 days to secure a stable yield.…”

Construction of ultra-high-density genetic linkage map of a sorghum-sudangrass hybrid using whole genome resequencing

“…Developing a high-density genetic map is necessary for mapping quantitative trait loci (QTLs) in crops and is an essential genetic tool in other areas of molecular biology [ 13 ]. At present, domestic and foreign studies on sorghum-sudangrass hybrid mainly focus on cultivation management [ 14 , 15 ], development and utilization of the nutritional and feeding value [ 4 , 7 ], or breeding of new varieties [ 16 ], However, there are few reports on ultra-high density genetic mapping of the sorghum-sudangrass hybrid.…”