ArticleVeterinary world2020
Prediction of daily milk production from the linear body and udder morphometry in Holstein Friesian dairy cows.
Article in Veterinary world, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 22 citations in OpenAlex.
- Blood metabolic profile and complete blood count of sheep during late pregnancy and lactation.Archives animal breeding · 2026Article
- The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review.Animals : an open access journal from MDPI · 2025Review
- Discriminant canonical tool for inferring the effect of αS1, αS2, β, and κ casein haplotypes and haplogroups on zoometric/linear appraisal breeding values in Murciano-Granadina goats.Frontiers in veterinary science · 2023Article
- Indigenous Knowledge of Farmers in Breeding Practice and Selection Criteria of Dairy Cows at Chora and Gechi Districts of Ethiopia: An Implication for Genetic Improvements.Veterinary medicine international · 2022Article
- Serum Nerve Growth Factor Levels as a Predictor of Bull Candidate Semen Quality of Madura Cattle.Veterinary medicine international · 2022Article
- Fatty Acids of Semi-Hard Cheese Made from Milk of Goats Fed Diets Enriched with Extruded Linseed or Pumpkin Seed Cake.Foods (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study aimed to develop equations to predict daily milk production (DMP) based on linear body and udder morphometry of Holstein Friesian (HF) dairy cows. MATERIALS AND
methodsThe experiment was conducted on 174 lactating HF dairy cows reared by farmers at different locations under similar conditions. The age, parity, and body condition score of experimental animals were limited to 0.25 of the standard deviation value above or below the average. The average DMP was based on farmers' records. Morphometry components, i.e., body length (BL); chest circumference (CC); front udder height (FUH), rear udder height (RUH); and udder circumference (UC) were directly measured using a tape; meanwhile, body weight (BW) was estimated using the Indonesia Winter formula. The relationship variables of morphometry components (body and udder morphometry) and BW on DMP were analyzed by regression.
resultsThe result showed no correlation (p>0.05) between CC and BW on DMP. Meanwhile, DMP obtained linear regression (p<0.05) with the mathematical equation: 1.30+0.11*BL; 13.90+0.41*FUH; 11.02+0.18*RUH; and 3.87+0.16*UC.
conclusionThis study shows that the DMP of dairy cows could be predicted based on their BL and udder morphometry.
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