Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing
Row crops represent the most important crops in terms of global cultivated area. Such crops include soybean, corn, wheat, rice, rapeseed, sunflower, and cotton. Row crops agriculture is generally an intensive system of farming used to obtain high yields by employing elevated quantities of organic an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-11-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/9/11/761 |
| _version_ | 1819065895926890496 |
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| author | Nunzio Briglia Angelo Petrozza Frank A. Hoeberichts Nathalie Verhoef Giovanni Povero |
| author_facet | Nunzio Briglia Angelo Petrozza Frank A. Hoeberichts Nathalie Verhoef Giovanni Povero |
| author_sort | Nunzio Briglia |
| collection | DOAJ |
| description | Row crops represent the most important crops in terms of global cultivated area. Such crops include soybean, corn, wheat, rice, rapeseed, sunflower, and cotton. Row crops agriculture is generally an intensive system of farming used to obtain high yields by employing elevated quantities of organic and mineral fertilizers. Considering this, and the decrease in area of arable land, it becomes crucial to ensure high yield and quality using alternative strategies, such as the use of plant biostimulants. These compounds are increasingly recognized as sustainable solution to optimize nutrient uptake, crop yield, quality, and tolerance to abiotic stresses. In this work, by means of high-throughput plant phenotyping, we evaluated the effectiveness of a set of three new foliar biostimulant prototypes (coded as 52096, 52097, 52113) applied on corn and soybean at application rates 2.5 and 5 mL/L (corresponding to 1 and 2 L/ha respectively). This allowed us to select the most effective prototype (52097, commercial name “YieldOn<sup>®</sup>”) in increasing digital biovolume (DB) and greener area (GGA) either in soybean (both application rates) or corn (rate 5 mL/L) and decreasing Stress Index (SI) in soybean (both application rates). Molecular mechanism of action of selected prototype 52097 was subsequently characterized through Next Generation Sequencing (NGS). In corn, genes involved in hormone (cytokinin and auxin) metabolism/catabolism, maltose biosynthesis, sugar transport and phloem loading were upregulated after application of prototype 52097. In soybean, genes involved in nitrogen metabolism, metal ion transport (mainly zinc and iron), sulfate reduction, and amino acid biosynthesis were induced. The proposed approach supports the integration of multiple omics to open new perspectives in the discovery, evaluation, and development of innovative and sustainable solutions to meet the increasing needs of row-crops agriculture. |
| first_indexed | 2024-12-21T15:53:44Z |
| format | Article |
| id | doaj.art-4bdfbefa33a54364ba54ca9be9c995f7 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-12-21T15:53:44Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-4bdfbefa33a54364ba54ca9be9c995f72022-12-21T18:58:09ZengMDPI AGAgronomy2073-43952019-11-0191176110.3390/agronomy9110761agronomy9110761Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation SequencingNunzio Briglia0Angelo Petrozza1Frank A. Hoeberichts2Nathalie Verhoef3Giovanni Povero4Dipartimento delle Culture Europee e del Mediterraneo: Architettura, Ambiente, Patrimoni Culturali (DiCEM), Università degli Studi della Basilicata, via Lanera 20, 75100 Matera, ItalyALSIA Centro Ricerche Metapontum Agrobios, s.s. Jonica 106, km 448, 2, 75010 Metaponto, ItalyNSure BV, Binnenhaven 5, 6709 PD Wageningen, The NetherlandsNSure BV, Binnenhaven 5, 6709 PD Wageningen, The NetherlandsValagro SpA, Zona Industriale–Via Cagliari 1, 66041 Atessa, Chieti, ItalyRow crops represent the most important crops in terms of global cultivated area. Such crops include soybean, corn, wheat, rice, rapeseed, sunflower, and cotton. Row crops agriculture is generally an intensive system of farming used to obtain high yields by employing elevated quantities of organic and mineral fertilizers. Considering this, and the decrease in area of arable land, it becomes crucial to ensure high yield and quality using alternative strategies, such as the use of plant biostimulants. These compounds are increasingly recognized as sustainable solution to optimize nutrient uptake, crop yield, quality, and tolerance to abiotic stresses. In this work, by means of high-throughput plant phenotyping, we evaluated the effectiveness of a set of three new foliar biostimulant prototypes (coded as 52096, 52097, 52113) applied on corn and soybean at application rates 2.5 and 5 mL/L (corresponding to 1 and 2 L/ha respectively). This allowed us to select the most effective prototype (52097, commercial name “YieldOn<sup>®</sup>”) in increasing digital biovolume (DB) and greener area (GGA) either in soybean (both application rates) or corn (rate 5 mL/L) and decreasing Stress Index (SI) in soybean (both application rates). Molecular mechanism of action of selected prototype 52097 was subsequently characterized through Next Generation Sequencing (NGS). In corn, genes involved in hormone (cytokinin and auxin) metabolism/catabolism, maltose biosynthesis, sugar transport and phloem loading were upregulated after application of prototype 52097. In soybean, genes involved in nitrogen metabolism, metal ion transport (mainly zinc and iron), sulfate reduction, and amino acid biosynthesis were induced. The proposed approach supports the integration of multiple omics to open new perspectives in the discovery, evaluation, and development of innovative and sustainable solutions to meet the increasing needs of row-crops agriculture.https://www.mdpi.com/2073-4395/9/11/761biostimulantscornimagingindustrial cropsmaizenext generation sequencingphenomicsplant phenotypingrow cropssoybean |
| spellingShingle | Nunzio Briglia Angelo Petrozza Frank A. Hoeberichts Nathalie Verhoef Giovanni Povero Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing Agronomy biostimulants corn imaging industrial crops maize next generation sequencing phenomics plant phenotyping row crops soybean |
| title | Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing |
| title_full | Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing |
| title_fullStr | Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing |
| title_full_unstemmed | Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing |
| title_short | Investigating the Impact of Biostimulants on the Row Crops Corn and Soybean Using High-Efficiency Phenotyping and Next Generation Sequencing |
| title_sort | investigating the impact of biostimulants on the row crops corn and soybean using high efficiency phenotyping and next generation sequencing |
| topic | biostimulants corn imaging industrial crops maize next generation sequencing phenomics plant phenotyping row crops soybean |
| url | https://www.mdpi.com/2073-4395/9/11/761 |
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