Back to Search Start Over

Optimizing irrigation and nitrogen management strategy to trade off yield, crop water productivity, nitrogen use efficiency and fruit quality of greenhouse grown tomato.

Authors :
Li, Huanhuan
Liu, Hao
Gong, Xuewen
Li, Shuang
Pang, Jie
Chen, Zhifang
Sun, Jingsheng
Source :
Agricultural Water Management. Feb2021, Vol. 245, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Water and nitrogen are two main factors affecting crop yield and quality, and their optimization is crucial for sustainable agriculture production. In this study, the results of a three-year (2017–2019) experiment were presented to reveal the effects of irrigation and nitrogen rate on yield, crop water productivity (WP), nitrogen use efficiency (Partial Factor Productivity Nitrogen, PFP n) and fruit quality. Irrigation was applied based on the cumulative evaporation (E pan) measured with a standard 20-cm pan with its amounts set as 50% (I 1), 70% (I 2), 90% (I 3) of E pan , while the nitrogen rates were designed as 0 (N 0), 150 (N 1), 300 (N 2) and 450 (N 3) kg ha−1. Averaging across nitrogen rates and years, I 2 decreased tomato yield and PFP n by 4.00% and 4.07%, respectively, when compared with I 3 , while significantly increased WP, vitamin C (Vc), total soluble solid (TSS), soluble sugar content (SSC) and organic acids (OA) by 7.68%, 8.64%, 5.42%, 7.15% and 7.15%, respectively. Averaging across irrigation amounts and years, applying nitrogen rates more than 300 kg ha−1 not only failed to increase yield, but also reduced WP, Vc, SSC, sugar-acid ratio (SAR) and PFP n. Compared with N 2 , the yield, WP and fruit quality decreased slightly in N 1 , whereas the nitrogen rate decreased by 50%. Both the principal component analysis and gray relational analysis were identified as suitable models for assessing comprehensive fruit quality. The relative value of TSS had a highly positive relationship with comprehensive quality score, indicating that TSS could be used as an index representing comprehensive fruit quality. TOPSIS (technique for order preference by similarity to ideal solution) revealed that N 1 I 2 was the optimal irrigation and nitrogen rate for greenhouse grown tomato. • Deficit irrigation improved fruit quality and crop water productivity, but reduced yield and nitrogen use efficiency. • Excessive nitrogen rate declined yield, some quality indices, crop water productivity and nitrogen use efficiency. • Principal component analysis and gray relational analysis were two suitable models to construct comprehensive fruit quality. • Total soluble solid could represent tomato comprehensive fruit quality. • Optimal irrigation and nitrogen management strategy was identified by technique for order preference by similarity to ideal solution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03783774
Volume :
245
Database :
Academic Search Index
Journal :
Agricultural Water Management
Publication Type :
Academic Journal
Accession number :
147886887
Full Text :
https://doi.org/10.1016/j.agwat.2020.106570