C.G. Sattler’s scientific contributions

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (2)


Figure 1. The 331 herds that provided test-day records from Holstein and Jerseys cows matched with 147 airports in 27 US states; the size of the circle indicates the number of records each herd contributed ranging from 5 to 459,326 records. A smaller circle signifies a herd with fewer records, whereas a larger circle represents a herd with more records.
Figure 2. Frequency of test-day records per each 5-d hourly average temperature-humidity index THI 5d ( ) value by breed for Holstein and
Figure 3. Mean ± SD of 5-d hourly average temperature-humidity index THI 5d ( ) of test-days in US dairy herds by month and year across
Figure 4. Relationship between average adjusted yield (kg) for milk (A, D), fat (B, E), and protein (C, F) of test-day and temperaturehumidity index (THI) trajectory with segmented regression for Holstein (A-C) and Jersey (D-F) cows.
Figure 7. Holstein correlations between all trait-effect combinations for traits: milk, fat, protein, and effects: g = general (intercept of regression), ht = heat tolerance (slope of regression). The upper triangular matrix contains correlations for additive effects and the lower triangular matrix contains correlations for permanent environmental effects. The ones in the diagonal are not shown.

+1

Single-step genomic predictions for heat tolerance of production yields in U.S. Holsteins and Jerseys
  • Article
  • Full-text available

August 2023

·

192 Reads

·

8 Citations

Journal of Dairy Science

·

·

C.G. Sattler

·

[...]

·

The physiological stress caused by excessive heat affects dairy cattle health and production. This study sought to investigate the impact of heat stress on test-day yields in United States (US) Holstein and Jersey cows and develop single-step genomic predictions to identify heat tolerant animals. Data included 12.8 and 2.1 million test-day records for 923,026 Holstein and 153,710 Jersey cows in 27 US states. From 2015 through 2021, test-day records from the first 5 lactations included milk, fat, and protein yields (kg). Cows' records were included if they had at least 5 test-day records per lactation. Heat stress was quantified by analyzing the impact of a 5-d hourly average temperature-humidity index (THI5d¯) on observed test-day yields. Using a multiple trait repeatability model, a heat threshold (THI threshold) was determined for each breed based on the point that the average adjusted yields started to decrease, which was 69 for Holsteins and 72 for Jerseys. An additive genetic component of general production and heat tolerance production were estimated using a multiple trait reaction norm model and single-step genomic BLUP methodology. Random effects were regressed on a function of THI5d¯ and THI threshold. The proportion of test-day records that occurred on or above the respective heat thresholds was 15% for Holstein and 10% for Jersey. Heritability of milk, fat, and protein yields under heat stress for Holsteins increased, with a small standard error, indicating that the additive genetic component for heat tolerance of these traits was observed. This was not as evident in Jersey traits. For Jersey, the permanent environment explained the same or more of the variation in fat and protein yield under heat stress indicating that non-genetic factors may determine heat tolerance for these Jersey traits. Correlations between the general genetic merit of production (in the absence of heat stress) and heat tolerance genetic merit of production traits were moderate in strength and negative. This indicated that selecting for general genetic merit without consideration of heat tolerance genetic merit of production may result in less favorable performance in hot and humid climates. A general GEBV for genetic merit and a heat tolerance GEBV were calculated for each animal. This study contributes to the investigation of the impact of heat stress on US dairy cattle production yields and offers a basis for the implementation of genomic selection. The results indicate that genomic selection for heat tolerance of production yields is possible for US Holsteins and Jerseys, but a study to validate the genomic predictions should be explored.

Download

Citations (2)


... Traditionally, the environmental effects associated with climate or heat stress are measured using some function of the THI [1,[17][18][19]. However, evidence suggests that the THI is not the most effective method for accounting for these effects, as THI calculations must be tailored to the region in which they are implemented [20], and even then, temperature often serves just as well at predicting heat stress as the THI [21,22]. ...

Reference:

Genotype-by-environment interaction with high-dimensional environmental data: an example in pigs
Single-step genomic predictions for heat tolerance of production yields in U.S. Holsteins and Jerseys

Journal of Dairy Science

... The THI thresholds at which we considered that heat stress starts to affect the different traits were estimated following a multitrait model based on the model proposed by McWhorter et al. (2022): ...

699. Onset of heat stress and development of genomic predictions for heat tolerance in US Holsteins and Jerseys