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Phenotypic variability in Italian rice germplasm.

Authors :
Mongiano, Gabriele
Titone, Patrizia
Pagnoncelli, Simone
Sacco, Davide
Tamborini, Luigi
Pilu, Roberto
Bregaglio, Simone
Source :
European Journal of Agronomy. Oct2020, Vol. 120, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• We measured key crop traits on 40 rice varieties in a two-year experiment. • The panel of Italian varieties showed large variability in phenotypic expression. • Measured yield was highly variable, many pre-mechanization cultivars top ranked. • Sink-source organs balance and adequate crop duration were associated to high yields. • Three main yield strategies were identified across the panel. Plant breeding is one of the key strategies for further enhancement of crop yields; however, effective breeding strategies require phenotypic characterisation of the available germplasm. This study sought to characterise the phenotypic expression of fourteen crop traits related to phenology, plant architecture, and yield in a panel of 40 cultivars selected to represent the phenotypic variability present in Italian rice germplasm during a two-season field experiment. The observed range of phenotypic variation was high for many traits (coefficients of variation ranging from 5.9% to 45.4%) including yield (mean: 6.47 t ha−1; CV: 15.4 %; min: 2.19 t ha−1; max: 8.95 t ha−1), and multiple strong associations emerged in all the analysed traits. Cluster analysis extracted three groups of genotypes characterised by alternative yield strategies, i.e. "high-tillering", "early maturing", and "increased source-sink". Our findings highlight that rice yield decrease when one strategy is overemphasised. In contrast, the highest-yielding genotypes have a balanced ratio between sink and source organs, along with a proportional duration of vegetative and reproductive phases. This study depicts the phenotypic variability in Italian rice cultivars and proposes a novel classification based on yield-related traits which could be of use in multiple rice breeding applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11610301
Volume :
120
Database :
Academic Search Index
Journal :
European Journal of Agronomy
Publication Type :
Academic Journal
Accession number :
145518033
Full Text :
https://doi.org/10.1016/j.eja.2020.126131