Affiliation:
1. State Key Laboratory of Sustainable Dryland Agriculture, Agricultural College, Shanxi Agricultural University, Taiyuan 030031, China
2. Department of Botany, Government College Women University Faisalabad, Faisalabad 38000, Pakistan
Abstract
The utilization of low-N tolerant and N-efficifent varieties offers significant benefits in terms of reducing the need for excessive N fertilizer input. Quinoa, a resilient crop for agroecological transition, possesses a wide genetic diversity, making it suitable for selecting genotypes that require less N fertilizer. In this study, the growth and physiological characteristics of nine quinoa genotypes were assessed to determine their low-N tolerance using the fuzzy membership function. Based on comprehensive evaluation indices, three genotypes were identified: low-N tolerant (BL22), intermediately tolerant (A29), and sensitive (G68). These genotypes were exposed to varying N concentrations, including normal (4 mM), low (0.8 mM), and deficient N (no N) conditions. The results indicate that low-N conditions altered root phenotype, with reduced biomass, total protein, and chlorophyll content; increased soluble sugar levels; and inhibited N-metabolizing enzymes (nitrate reductase, glutamine synthetase, glutamate synthase) and N uptake. Under low-N conditions, the tolerant genotype exhibited higher maximal efficiency of photosystem II (Fv/Fm), root vitality, and N content compared to the sensitive genotype. Interestingly, the sensitive genotype displayed elongated and thinner shoots and roots in response to low-N, suggesting that plant height and root length are unreliable indicators of low-N tolerance in quinoa. In contrast, shoot and root dry biomass, Fv/Fm, chlorophyll content, N-metabolizing enzymes, and N content proved to be reliable indicators of low-N tolerance during the early growth stage of quinoa. Overall, these findings highlight the potential of utilizing specific growth and physiological parameters as indicators for screening low-N tolerant quinoa genotypes, thereby reducing dependence on N fertilizers.
Funder
State Key Laboratory of Sustainable Dryland Agriculture (in preparation), Shanxi Agricultural University
Science and Technology Innovation Program of Shanxi Universities
The central government guides the local science and technology development fund
National Major Talent Engineering Expert Workstation Project
Academician workstation
Key Projects of Key R&D plan Shanxi Province
Subject
Agronomy and Crop Science
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