Predictive Model to Evaluate Water and Nutrient Uptake in Vertically Grown Lettuce under Mediterranean Greenhouse Conditions

Author:

López Mora Manuel Felipe1ORCID,Quintero Castellanos María Fernanda1ORCID,González Murillo Carlos Alberto2,Borgovan Calina3,Salas Sanjuan María del Carmen3ORCID,Guzmán Miguel3ORCID

Affiliation:

1. Faculty of Agronomy and Veterinary, Autonomous University of San Luis Potosi, Carretera San Luis—Matehuala Km. 14.5, Soledad de Graciano Sánchez 78321, Mexico

2. Department of Civil and Agricultural Engineering, National University of Colombia, Carrera 30 #45-03, Bogotá 110231, Colombia

3. Department of Agronomy, Campus de Excelencia Internacional Agroalimentario, ceiA3, Almeria University, La Cañada, 04120 Almeria, Spain

Abstract

The decrease in arable land, water scarcity, and climate change increase the pressure on natural resources and agricultural production systems. In this context, agriculture must ensure food production for the rapidly growing and increasingly urban population of the world. Efforts must be made to obtain the highest yield from the unit area and promote the transition to more sustainable production systems Hydroponics is a modern growing technology mainly applied in greenhouses, which has developed rapidly over the past 30–40 years. Substrate-free hydroponic vertical crops (VC) can reduce the pressure conventional agriculture exerts on resources, saving water and nutrients, and increasing crop yields per unit area. Therefore, this study aimed to validate a proposed predictive model (PM) to simulate water and nutrient uptake in vertical crops under greenhouse conditions. On the basis of the Penman–Monteith equation, the PM estimates transpiration, while nutrient uptake was estimated using the Carmassi–Sonneveld submodel. The PM was experimentally evaluated for vertically grown lettuce under Mediterranean greenhouse conditions during spring 2023. The irrigation technique was a closed-loop fertigation circuit. The experiment consisted of testing two densities (50 and 80 plants·m−2) and three plant positions (low, medium, and upper). ANOVA (p < 0.05) and R2 were used to evaluate the PM performance and crop behavior. The low density and the upper position had significantly higher mass values. The results suggest a high degree of performance for the PM, as the R2 ranged from 0.7 to 0.9 for water and nutrient uptake. Both densities had a yield 17–20 times higher than conventional lettuce production and significant savings in water, about 85–88%. In this sense, the PM has great potential to intelligently manage VC fertigation, saving water and nutrients, which represents an advance toward reaching SDG 6 and SDG 12 within the 2030 Agenda.

Publisher

MDPI AG

Reference85 articles.

1. United Nations Department of Economic and Social Affairs (2019). World Population Prospects 2019.

2. World Bank (2023, December 18). Population Estimates and Projections|DataBank. Available online: https://databank.worldbank.org/source/population-estimates-and-projections.

3. FAO (2022). The Future of Food and Agriculture—Drivers and Triggers for Transformation, FAO.

4. Calicioglu, O., Flammini, A., Bracco, S., Bellù, L., and Sims, R. (2019). The future challenges of food and agriculture: An integrated analysis of trends and solutions. Sustainability, 11.

5. FAO (2021). The State of the World’s Land and Water Resources for Food and Agriculture—Systems at Breaking Point, Syntesis Report 2021, Food and Agriculture Organization of the United Nations (FAO).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3