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Soluble amino acid profile, mineral nutrient and carbohydrate content of maize kernels harvested from plants submitted to ascorbic acid seed priming

Overview of attention for article published in Anais da Academia Brasileira de Ciências, April 2017
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Title
Soluble amino acid profile, mineral nutrient and carbohydrate content of maize kernels harvested from plants submitted to ascorbic acid seed priming
Published in
Anais da Academia Brasileira de Ciências, April 2017
DOI 10.1590/0001-3765201720160399
Pubmed ID
Authors

Berenice K Alcântara, Vanessa Rizzi, Salete A Gaziola, Ricardo A Azevedo

Abstract

Both the scientific community and society have shown interest in improving the content of amino acids, carbohydrates and mineral nutrients in maize because it represents an important staple food in many developing countries. Earlier studies demonstrated that the treatment of seeds using ascorbic acid (AsA-seed priming) enhanced soluble carbohydrates, proteins and soluble amino acids for other species. AsA seed priming in maize showed the potential for reducing abiotic stresses. The effects on grain quality have not been previously demonstrated. This study investigated the impacts of AsA seed priming on maize kernel quality of seeds produced by the plants generated from the primed seeds, based on the amino acid profile and carbohydrate and mineral nutrient contents. AsA seed priming improved the maize kernel quality with respect to the ascorbate content, boron allocation, total carbohydrate content and increased soluble amino acid levels, including serine, tyrosine, alanine, valine, glutamate, arginine, proline, aspartate, lysine and isoleucine, whereas soluble methionine was decreased. Therefore, AsA seed priming can represent a potential technique for improving maize grain quality.

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Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Professor 3 11%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 7 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 33%
Nursing and Health Professions 2 7%
Environmental Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 9 33%