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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Variance, inter-trait correlation, heritability and trait-marker association of herbage yield, nutritive values, and morphological characteristics in Italian ryegrass (Lolium multiflorum Lam.)

J. Wang A C , N. O. I. Cogan B C , L. W. Pembleton B C and J. W. Forster B C D E
+ Author Affiliations
- Author Affiliations

A Department of Economic Development, Jobs, Transport and Resources, Biosciences Research Division, Hamilton Centre, Mount Napier Road, Hamilton, Vic. 3300, Australia.

B Department of Economic Development, Jobs, Transport and Resources, Biosciences Research Division, AgriBio, the Centre for AgriBioscience, 5 Ring Road, Bundoora, Vic. 3083, Australia.

C Dairy Futures Cooperative Research Centre, AgriBio, the Centre for AgriBioscience, 5 Ring Road, Bundoora, Vic. 3083, Australia.

D School of Applied Systems Biology, La Trobe University, Bundoora, Vic. 3086, Australia.

E Corresponding author. Email: john.forster@ecodev.vic.gov.au

Crop and Pasture Science 66(9) 973-984 https://doi.org/10.1071/CP15070
Submitted: 26 February 2015  Accepted: 29 April 2015   Published: 4 September 2015

Abstract

Italian ryegrass (Lolium multiflorum Lam.) is one of the most important temperate forage grasses on a global basis. The present study estimated trait variance, inter-trait correlation and broad-sense heritability (H2) for herbage yield, nutritive values and morphological characteristics of Italian ryegrass, and analysed associations between these traits and single nucleotide polymorphism (SNP) markers. A field-based, spaced-plant nursery experiment was conducted to assess 960 genotypes from seven cultivars and breeding lines, in a randomised complete block design with four replicates. Significant correlations, broad ranges of variation and significant genotypic variance components were identified for 18 measured phenotypic traits. Moderate H2 estimates (0.36–0.52) were obtained for nutritive values, compared with low to high H2 estimates (0.20–0.69) for yield over five cuttings, and moderate to high H2 estimates (0.40–0.78) for morphological traits. Within- and among-cultivar variation ranged from 40.0% to 95.1% and 4.9% to 60.0%, respectively, depending on different traits. Association analysis identified 65 significant SNP–trait gene associations involving multiple genomic regions, which warrant further validation. The implications of trait correlation and heritability for selection and improvement are discussed.

Additional keywords: cultivar, heading date, herbage quality, linkage disequilibrium, pasture, polymorphism.


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