Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass.
Switchgrass is a perennial C4 plant with great potential as a bioenergy source and, thus, a high demand for establishment from seed. This research investigated the effects of ultrasound treatment on germination and seedling growth in switchgrass. Using an orthogonal matrix design, conditions for the...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3468461?pdf=render |
| _version_ | 1818323012846354432 |
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| author | Quanzhen Wang Guo Chen Hayixia Yersaiyiti Yuan Liu Jian Cui Chunhui Wu Yunwei Zhang Xueqing He |
| author_facet | Quanzhen Wang Guo Chen Hayixia Yersaiyiti Yuan Liu Jian Cui Chunhui Wu Yunwei Zhang Xueqing He |
| author_sort | Quanzhen Wang |
| collection | DOAJ |
| description | Switchgrass is a perennial C4 plant with great potential as a bioenergy source and, thus, a high demand for establishment from seed. This research investigated the effects of ultrasound treatment on germination and seedling growth in switchgrass. Using an orthogonal matrix design, conditions for the ultrasound pretreatment in switchgrass seed, including sonication time (factor A), sonication temperature (factor B) and ultrasound output power (factor C), were optimized for germinating and stimulating seedling growth (indicated as plumular and radicular lengths) through modeling analysis. The results indicate that sonication temperature (B) was the most effective factor for germination, whereas output power (C) had the largest effect on seedling growth when ultrasound treatment was used. Combined with the analyses of range, variance and models, the final optimal ultrasonic treatment conditions were sonication for 22.5 min at 39.7°C and at an output power of 348 W, which provided the greatest germination percentage and best seedling growth. For this study, the orthogonal matrix design was an efficient method for optimizing the conditions of ultrasound seed treatment on switchgrass. The electrical conductivity of seed leachates in three experimental groups (control, soaked in water only, and ultrasound treatment) was determined to investigate the effects of ultrasound on seeds and eliminate the effect of water in the ultrasound treatments. The results showed that the electrical conductivity of seed leachates during either ultrasound treatment or water bath treatment was significantly higher than that of the control, and that the ultrasound treatment had positive effects on switchgrass seeds. |
| first_indexed | 2024-12-13T11:05:56Z |
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| id | doaj.art-5ebd65313df8433186eacd146c48b408 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T11:05:56Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-5ebd65313df8433186eacd146c48b4082022-12-21T23:49:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01710e4720410.1371/journal.pone.0047204Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass.Quanzhen WangGuo ChenHayixia YersaiyitiYuan LiuJian CuiChunhui WuYunwei ZhangXueqing HeSwitchgrass is a perennial C4 plant with great potential as a bioenergy source and, thus, a high demand for establishment from seed. This research investigated the effects of ultrasound treatment on germination and seedling growth in switchgrass. Using an orthogonal matrix design, conditions for the ultrasound pretreatment in switchgrass seed, including sonication time (factor A), sonication temperature (factor B) and ultrasound output power (factor C), were optimized for germinating and stimulating seedling growth (indicated as plumular and radicular lengths) through modeling analysis. The results indicate that sonication temperature (B) was the most effective factor for germination, whereas output power (C) had the largest effect on seedling growth when ultrasound treatment was used. Combined with the analyses of range, variance and models, the final optimal ultrasonic treatment conditions were sonication for 22.5 min at 39.7°C and at an output power of 348 W, which provided the greatest germination percentage and best seedling growth. For this study, the orthogonal matrix design was an efficient method for optimizing the conditions of ultrasound seed treatment on switchgrass. The electrical conductivity of seed leachates in three experimental groups (control, soaked in water only, and ultrasound treatment) was determined to investigate the effects of ultrasound on seeds and eliminate the effect of water in the ultrasound treatments. The results showed that the electrical conductivity of seed leachates during either ultrasound treatment or water bath treatment was significantly higher than that of the control, and that the ultrasound treatment had positive effects on switchgrass seeds.http://europepmc.org/articles/PMC3468461?pdf=render |
| spellingShingle | Quanzhen Wang Guo Chen Hayixia Yersaiyiti Yuan Liu Jian Cui Chunhui Wu Yunwei Zhang Xueqing He Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. PLoS ONE |
| title | Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. |
| title_full | Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. |
| title_fullStr | Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. |
| title_full_unstemmed | Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. |
| title_short | Modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass. |
| title_sort | modeling analysis on germination and seedling growth using ultrasound seed pretreatment in switchgrass |
| url | http://europepmc.org/articles/PMC3468461?pdf=render |
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