Optimization of Tomato Productivity Using Flowering Time Variants
The control of flowering time is a major contributing factor to the improvement of crop yield by optimizing plant growth in a crop cycle. Genetic variants that determine flowering time can provide insights into optimizing flowering time for higher yields and other beneficial traits in tomato crops....
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/2/285 |
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| author | Sujeevan Rajendran Jung Heo Yong Jun Kim Dae Heon Kim Kisung Ko Young Koung Lee Seok Kwi Oh Chul Min Kim Jong Hyang Bae Soon Ju Park |
| author_facet | Sujeevan Rajendran Jung Heo Yong Jun Kim Dae Heon Kim Kisung Ko Young Koung Lee Seok Kwi Oh Chul Min Kim Jong Hyang Bae Soon Ju Park |
| author_sort | Sujeevan Rajendran |
| collection | DOAJ |
| description | The control of flowering time is a major contributing factor to the improvement of crop yield by optimizing plant growth in a crop cycle. Genetic variants that determine flowering time can provide insights into optimizing flowering time for higher yields and other beneficial traits in tomato crops. Here, we examined a collection of flowering time variants to assess their effects on biomass and total tomato yields. Five <i>late flowering</i> (<i>lf</i>), thirteen <i>large plant</i> (<i>lp</i>), and seven <i>floral homeotic</i> (<i>fh</i>) mutants were identified as flowering time variants that could be rearranged according to leaf production in the primary shoot meristem (PSM). A flowering time continuum of mutants was translated into a positive continuum of biomass yield with more leaves, branches, and floral organs. The flowering time continuum showed an optimal curve of fruit yield, indicating a certain late flowering time as optimal for fruit yield, with the yield gradually decreasing in both directions with earlier or later flowering times. We isolated <i>lf1</i>, <i>lf10</i>, <i>lp22,</i> and <i>fh13</i> as high-yielding genotypes with optimal flowering time, showing a new balance between the vegetative and flowering phases of tomato. Additionally, <i>lp8, fh8</i>, and <i>fh15</i> produced extremely high biomass in leaves, axillary shoots, and floral organs due to late flowering in shoot apices with additional production of floral organs and lateral shoot. Our new late-flowering variants provide new genetic resources that can be used to optimize crop yield by fine-tuning flowering time, and future molecular studies could be conducted by revisiting our yield model. |
| first_indexed | 2024-03-09T05:49:46Z |
| format | Article |
| id | doaj.art-f7d30caa6ef741ad97fa2aa5e67d1568 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T05:49:46Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-f7d30caa6ef741ad97fa2aa5e67d15682023-12-03T12:18:20ZengMDPI AGAgronomy2073-43952021-02-0111228510.3390/agronomy11020285Optimization of Tomato Productivity Using Flowering Time VariantsSujeevan Rajendran0Jung Heo1Yong Jun Kim2Dae Heon Kim3Kisung Ko4Young Koung Lee5Seok Kwi Oh6Chul Min Kim7Jong Hyang Bae8Soon Ju Park9Division of Biological Sciences, Wonkwang University, Iksan 54538, KoreaDivision of Biological Sciences, Wonkwang University, Iksan 54538, KoreaDivision of Biological Sciences, Wonkwang University, Iksan 54538, KoreaDepartment of biology, Sunchon National University, Sunchon 57922, KoreaDepartment of Medicine, Therapeutic Protein Engineering Lab, College of Medicine, Chung-Ang University, Seoul 06974, KoreaInstitute of Plasma Technology, Korea Institute of Fusion Energy, 37, Dongjangsan-ro, Gunsan-si 54004, KoreaDivision of Horticulture Industry, Wonkwang University, Iksan 54538, KoreaDivision of Horticulture Industry, Wonkwang University, Iksan 54538, KoreaDivision of Horticulture Industry, Wonkwang University, Iksan 54538, KoreaDivision of Biological Sciences, Wonkwang University, Iksan 54538, KoreaThe control of flowering time is a major contributing factor to the improvement of crop yield by optimizing plant growth in a crop cycle. Genetic variants that determine flowering time can provide insights into optimizing flowering time for higher yields and other beneficial traits in tomato crops. Here, we examined a collection of flowering time variants to assess their effects on biomass and total tomato yields. Five <i>late flowering</i> (<i>lf</i>), thirteen <i>large plant</i> (<i>lp</i>), and seven <i>floral homeotic</i> (<i>fh</i>) mutants were identified as flowering time variants that could be rearranged according to leaf production in the primary shoot meristem (PSM). A flowering time continuum of mutants was translated into a positive continuum of biomass yield with more leaves, branches, and floral organs. The flowering time continuum showed an optimal curve of fruit yield, indicating a certain late flowering time as optimal for fruit yield, with the yield gradually decreasing in both directions with earlier or later flowering times. We isolated <i>lf1</i>, <i>lf10</i>, <i>lp22,</i> and <i>fh13</i> as high-yielding genotypes with optimal flowering time, showing a new balance between the vegetative and flowering phases of tomato. Additionally, <i>lp8, fh8</i>, and <i>fh15</i> produced extremely high biomass in leaves, axillary shoots, and floral organs due to late flowering in shoot apices with additional production of floral organs and lateral shoot. Our new late-flowering variants provide new genetic resources that can be used to optimize crop yield by fine-tuning flowering time, and future molecular studies could be conducted by revisiting our yield model.https://www.mdpi.com/2073-4395/11/2/285flowering timegenetic variantsoptimizationplant growthtomato yield |
| spellingShingle | Sujeevan Rajendran Jung Heo Yong Jun Kim Dae Heon Kim Kisung Ko Young Koung Lee Seok Kwi Oh Chul Min Kim Jong Hyang Bae Soon Ju Park Optimization of Tomato Productivity Using Flowering Time Variants Agronomy flowering time genetic variants optimization plant growth tomato yield |
| title | Optimization of Tomato Productivity Using Flowering Time Variants |
| title_full | Optimization of Tomato Productivity Using Flowering Time Variants |
| title_fullStr | Optimization of Tomato Productivity Using Flowering Time Variants |
| title_full_unstemmed | Optimization of Tomato Productivity Using Flowering Time Variants |
| title_short | Optimization of Tomato Productivity Using Flowering Time Variants |
| title_sort | optimization of tomato productivity using flowering time variants |
| topic | flowering time genetic variants optimization plant growth tomato yield |
| url | https://www.mdpi.com/2073-4395/11/2/285 |
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