Additional file 1 of Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP)

Additional file 1. Genomic prediction accuracy and bias for methane (grass diet) and residual feed intake (lucerne diet) traits using a training population born in 2014 and 2015, and a test population born in 2016.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29595546.v1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
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article

Additional file 1 of Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP)

Figshare
Genetic and phenotypic traits in livestock
article

Additional file 1 of Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP)

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Abstract

Additional file 1. Genomic prediction accuracy and bias for methane (grass diet) and residual feed intake (lucerne diet) traits using a training population born in 2014 and 2015, and a test population born in 2016.

Figshare
AgResearch (NZ)
Openalex Percentile: Top 55%
Genetic and phenotypic traits in livestock
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Additional file 1 of Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP) · Figshare (2025) | TGRS Research Map | TGRS