Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass
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چکیده
منابع مشابه
Predictive Ability of Statistical Genomic Prediction Methods When Underlying Genetic Architecture of Trait Is Purely Additive
A simulation study was conducted to address the issue of how purely additive (simple) genetic architecture might impact on the efficacy of parametric and non-parametric genomic prediction methods. For this purpose, we simulated a trait with narrow sense heritability h2= 0.3, with only additive genetic effects for 300 loci in order to compare the predictive ability of 14 more practically used ge...
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Dry Matter Production of Orchardgrass and Perennial Ryegrass at Five Irrigation Levels
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The remobilization of water soluble carbohydrates (WSC) has an important role for grain yield. This study investigated the accumulation and remobilization of WSC in non-leaf organs (chaff, upper stem, and lower stem) and their contribution to grain yield, under different irrigation levels (rainfed, reduced irrigation, and full irrigation) and seeding rate treatments (450, 600 and 750 plants...
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Dairy cows fed on perennial-ryegrass pasture produce higher-quality milk in terms of fatty-acid composition; however, they produce much less milk compared to dairy cows under other systems. The low dry-matter intake (DMI) has been identified as the main factor responsible for the lower milk production in pasture-based systems. To maximize milk production from those systems it is important to ma...
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ژورنال
عنوان ژورنال: Frontiers in Plant Science
سال: 2020
ISSN: 1664-462X
DOI: 10.3389/fpls.2020.01197