Literature DB >> 29791875

Effects of potassium fertilization on potato starch physicochemical properties.

Wei Zhang1, Xinwei Liu2, Qiaolan Wang3, Haiqing Zhang4, Mingfeng Li2, Botao Song5, Zhuqing Zhao6.   

Abstract

Potato starch serves as an excellent raw material or food additive in the food industry. With the advancement of the potato staple food strategy in China, improving the potato starch yield and quality has attracted more and more attention. Potassium is an essential nutrient for potato due to its direct effects on the yield and quality of potato tubers. Here, the effects of three different potassium levels on potato starch physicochemical properties were evaluated by field experiments. With increasing potassium fertilization rates, the amylose content, phosphorus content and particle size decreased, thereby resulting in low gelatinization temperature, breakdown and setback viscosity, and high swelling power, relative crystallinity and transparency. Our study indicated that enhanced potassium fertilization improved the resistance to heat and shear stress and decreased the retrogradation of starch, and the 270 kg/ha potassium fertilization rate could obtain the highest tuber and starch production with desirable starch physicochemical properties. The integrated results also provide some novel insights into the management of the fertilization conditions to obtain native starches with special properties.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Potassium; Potato; Starch properties

Mesh:

Substances:

Year:  2018        PMID: 29791875     DOI: 10.1016/j.ijbiomac.2018.05.131

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  3 in total

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Authors:  Getnet Abera; Belay Woldeyes; Hundessa Dessalegn Demash; Garret M Miyake
Journal:  Int J Biol Macromol       Date:  2019-08-13       Impact factor: 6.953

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Authors:  Karolina Pycia; Ewa Szupnar-Krok; Małgorzata Szostek; Renata Pawlak; Lesław Juszczak
Journal:  Molecules       Date:  2022-07-05       Impact factor: 4.927

3.  The estimation of crop emergence in potatoes by UAV RGB imagery.

Authors:  Bo Li; Xiangming Xu; Jiwan Han; Li Zhang; Chunsong Bian; Liping Jin; Jiangang Liu
Journal:  Plant Methods       Date:  2019-02-12       Impact factor: 4.993

  3 in total

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