Adaptation of field pea varieties to organic farming across different environments of Italy
Luciano Pecetti
+ Author Affiliations
- Author Affiliations
A Council for Agricultural Research and Economics (CREA), Research Center for Animal Production and Aquaculture, Viale Piacenza 29, 26900 Lodi, Italy.
B Department of Agro-Food and Environment Science, University of Bari ‘Aldo Moro’, Via Amendola 165, 70126 Bari, Italy. Present address: IITA, PMB 5320, Oyo Road, Ibadan 200001, Oyo State, Nigeria.
C Deptartment of Agricultural, Food and Environmental Science, University of Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy.
D Corresponding author. Email: luciano.pecetti@crea.gov.it
Crop and Pasture Science 70(4) 327-333 https://doi.org/10.1071/CP18216
Submitted: 16 May 2018 Accepted: 12 March 2019 Published: 20 April 2019
Abstract
This study aimed to support field pea (Pisum sativum L.) breeding strategies for organic systems of southern European environments, by assessing the size of genotype × environment interaction (GEI) due to spatial and temporal factors across climatically contrasting regions and identifying plant characters associated with genotype adaptive responses. Twelve recent varieties were evaluated for grain yield and other traits in six organically managed environments (three sites × two cropping years) of northern, central and southern Italy. GEI for grain yield was large, with the variety × site × year interaction greatly exceeding the variety × site interaction. This finding, and the similar magnitude of the mean genetic correlations for variety yields across pairs of sites (rg = 0.56) and pairs of years (rg = 0.51), indicated the difficulty of exploiting variety × site interaction effects by breeding for specific climatic regions. Pattern analysis highlighted the large inconsistency across years for GEI pattern of the sites from central and southern Italy. GEI also complicated the targeting of varieties, owing to inconsistent top-performing material across years according to additive main effects and multiplicative interaction (AMMI)-modelled yields. Higher genotype mean yield was strictly associated (P < 0.01) with lower weed proportion (hence, greater competitiveness against weeds: r = –0.96), taller plants (r = 0.89) and larger seeds (r = 0.78), with looser associations with lower susceptibility to lodging and ascochyta blight. These traits, which also contributed to preferential adaptation to the moisture-favourable environments of northern Italy, could be selected in breeding widely adapted varieties.
Additional keywords: adaptation pattern, disease tolerance, multi-year evaluation, weed competition.
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