Articolo in rivista, 2019, ENG, 10.3390/agronomy9060292
Sellami Mohamed Houssemeddine; Pulvento Cataldo; Aria Massimo; Stellacci Anna Maria; Lavini Antonella
Institute for Agricultural and Forest Systems in the Mediterranean; Università degli Studi di Bari; Università degli Studi di Napoli Federico II
Protein crops can represent a sustainable answer to growing demand for high quality, protein-rich food in Europe. To better understand the state of scientific studies on protein crops, a systematic review of field trials results to collect existing knowledge and agronomic practices on protein crops in European countries was conducted using published data from the literature (1985-2017). A total of 42 publications was identified. The following seven protein crops were considered: quinoa, amaranth, pea, faba bean, lupin, chickpea, and lentil. Observations within the studies were related to one or more of eight wide categories of agronomic managements: deficit irrigation (n = 130), salinity (n = 6), tillage (n = 211), fertilizers (n = 146), sowing density (n = 32), sowing date (n = 92), weed control (n = 71), and multiple interventions (n = 129). In 86% of the studies, measures of variability for yield mean values are missing. Through a multiple correspondence analysis (MCA) based on protein crops, European environments, and agronomic management factors, we provide a state of art of studies carried out in Europe on protein crops over the 32-year period; this study will allow us to understand the aspects that can still be developed in the topic. Most investigated studies refer to southern Europe and showed some trends: (i) faba bean, pea, and lupin provide highest seed yields; (ii) sowing date, sowing density, fertilization, and deficit irrigation are the agronomic practices that most influence crop yield; (iii) studies conducted in Central Europe show highest seed yields. The output from this study can be used to guide policies for sustainable crop management.
Agronomy (Basel)
protein crops, systematic review, Europe, multiple correspondence analysis (MCA)
Sellami Mohamed Houssemeddine, Lavini Antonella, Pulvento Cataldo
ISAFoM – Istituto per i sistemi agricoli e forestali del mediterraneo
ID: 403836
Year: 2019
Type: Articolo in rivista
Creation: 2019-06-25 17:58:14.000
Last update: 2022-06-01 09:35:09.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:403836
DOI: 10.3390/agronomy9060292
ISI Web of Science (WOS): 000475329400025
Scopus: 2-s2.0-85066875765