Additional file 4 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 4. Genomic prediction accuracy for residual feed intake (lucerne diet) using Model 2 (GM) with varying proportions of PCA-reduced microbiome data (train-test validation).

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29595555.v1
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.00
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article

Additional file 4 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
Soybean genetics and cultivation
article

Additional file 4 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 4. Genomic prediction accuracy for residual feed intake (lucerne diet) using Model 2 (GM) with varying proportions of PCA-reduced microbiome data (train-test validation).

Figshare
AgResearch (NZ)
Openalex Percentile: Top 43%
Soybean genetics and cultivation
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Additional file 4 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