Evidence map›Paper›PMID 42792884›Full record

ReviewGenes2026

From Genome to Phenome: Genotype × Environment Interactions in Organic and Conventional Dairy Systems and the Emergence of Genomically Optimized Organic Dairy (GOOD).

Priunka Bhowmik, Amy Zinski, Qingqing Wu, Weiwei Du, Jennifer J Michal, Ramanathan Kasimanickam, Zhihua Jiang

Abstract readReview
In one paragraph

Review in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Priunka BhowmikDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.ORCID 0000-0003-4652-9367
Amy ZinskiDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.
Qingqing WuDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.
Weiwei DuDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.
Jennifer J MichalDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.ORCID 0000-0002-4638-4156
Ramanathan KasimanickamDepartment of Veterinary Clinical Sciences, Washington State University, Pullman, WA 99164-7060, USA.ORCID 0000-0003-1117-7867
Zhihua JiangDepartment of Animal Sciences, Washington State University, Pullman, WA 99164-7620, USA.ORCID 0000-0003-1986-088X

Funding

United States Department of Agriculture 2022-51300-38058
6 · The paper itself

Abstract

Organic dairy farming has expanded rapidly over the past three decades, driven by regulatory reforms, consumer demand, and growing recognition of its environmental, animal welfare, and potential human health benefits. Despite this growth, evidence comparing organic and conventional dairy systems remains fragmented across genetics, phenomics, animal health, and human health outcomes. This review synthesizes current knowledge through the lens of genotype × environment interactions, integrating evidence from four complementary domains: (1) genomic architecture and breeding strategies; (2) phenotypic performance, including milk production and composition, meat quality, nutrition, and reproductive traits; (3) animal health, disease resistance, antimicrobial use, and welfare; and (4) implications for human health. Holstein-Friesian cattle remain the predominant breed in both systems; however, organic production favors animals with greater robustness, longevity, grazing efficiency, and disease resilience. Genetic studies further demonstrate that highly heritable production traits share similar genetic architecture across production systems, whereas health, fertility, longevity, and other low-heritability functional traits exhibit stronger genotype × environment interactions and more system-specific genomic signatures. These findings suggest that breeding strategies developed for high-input conventional systems are unlikely to maximize performance under organic management. Collectively, the evidence supports a shift from selection focused primarily on milk yield toward genomic improvement of robustness, disease resistance, reproductive resilience, grazing adaptation, and lifetime productivity. We propose Genomically Optimized Organic Dairy (GOOD) as an emerging framework that integrates genomic selection, precision phenotyping, health monitoring, and environmental adaptation to develop dairy cattle better suited to organic production.

Indexed as

DairyingGene-Environment InteractionGenomeAnimalsBreedingCattleFemaleGenomicsGenotypeMilkPhenomicsPhenotypeanimal and human healthgenomics and phenomicsgenotypes × environment interactionorganic and conventional dairy

Identifiers

PMID42792884
PMCPMC13606531

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.