Effects of Irrigation and Fertilization Management on Yield and Quality of Rice and the Establishment of a Quality Evaluation System

• Published in: Agronomy (Basel) 2023-08, Vol.13 (8), p.2034
• Main Authors: Hu, Jiazhen, Zhang, Shuna, Yang, Shihong, Zhou, Jiaoyan, Jiang, Zewei, Qi, Suting, Xu, Yi
• Format: Article
• Language: English
• Subjects: Adhesive strength; ADP glucose pyrophosphorylase; Agricultural production; Amylases; Amylose; China; comprehensive evaluation; Cooking; Crop yield; Cultivation; Entropy; Enzymatic activity; Enzyme activity; Enzymes; Fertilization; Fertilizers; Grain; Grain cultivation; Granule-bound starch synthase; Indicators; Irrigation; Irrigation effects; Irrigation efficiency; Irrigation water; Methods; Nitrogen; Nutrient content; optimal management; Organic fertilizers; Proteins; quality; Quality assessment; Quality control; Quality management; Rice; Straw; Sugar; Viscosity; Water use; Water use efficiency; yield; α-Amylase
• ISSN: 2073-4395; 2073-4395
• DOI: 10.3390/agronomy13082034

Yield and rice quality indicators of crops are a direct reflection of the rational irrigation and fertilizer strategy. However, the effects of controlled irrigation (CI) combined with the split application of fertilization managements (straw returning, organic fertilizer, and conventional fertilizer) on rice quality are not clear in southeast China. This study aims at exploring the effects of three fertilization managements applied under CI or flooding irrigation on rice yield, quality, enzyme activity, and soluble sugar content including 43 indicators, to determine the optimal comprehensive evaluation model, management, and representative indexes. The results showed that compared with CF (CI + conventional fertilizer), CS (CI + straw returning) significantly increased yield (27.65%), irrigation water use efficiency (6.20%), chalky grain rate (9.67%), chalkiness (1.83%), protein content (4.29%), and amylose content (0.33%), indicating that CS improved yield and milling quality but decreased cooking and appearance quality. This was mainly because CS promoted the activities of alpha-amylase, ADPG (ADP-glucose pyrophosphorylase), and GBSS (granule-bound starch synthase) and reduced the soluble sugar content in rice. Grey relational degree analysis (GRD), the entropy method (ETM), and TOPSIS (the technique for order preference by similarity to an ideal solution) were used to comprehensively evaluate the rice quality and determined that CS treatments could synergistically improve yield and rice quality. The five indexes (adhesive strength, HPV, ADPG, soluble sugar (leaf), yield) and TOPSIS model can be used as the best indexes and model to evaluate the rice quality. These results could provide scientific management and evaluate practices for high-yield and high-quality rice cultivation, which may be promising for a cleaner production strategy.