Publications by authors named "Megan Scholtens"
Article Synopsis
- A genotype-by-environment (G×E) interaction occurs when different genotypes respond uniquely to varying environmental conditions, with this study focusing on Chinook salmon under different water flow regimes.
- The research aimed to evaluate whether manipulating water flow in salmon production impacts genetic performance, especially since water flow is an overlooked variable affecting metabolism.
- Results indicated minimal G×E interactions between low and moderate flow regimes, suggesting that feeding behavior should be prioritized to enhance feed efficiency in salmon farming rather than adjusting for flow differences.
Background: Economically important milk production traits including milk volume, milk fat and protein yield vary considerably across dairy goats in New Zealand. A significant portion of the variation is attributable to genetic variation. Discovery of genetic markers linked to milk production traits can be utilised to drive selection of high-performance animals.
View Article and Find Full Text PDFSelection on genomic breeding values (GBVs) is now readily available for ranking candidates in improvement schemes. Our objective was to quantify benefits in terms of accuracy of prediction from including genomic information in the single-trait estimation of breeding values (BVs) for a New Zealand mixed breed dairy goat herd. The dataset comprised phenotypic and pedigree records of 839 does.
View Article and Find Full Text PDFBackground: Identifying associations between genetic markers and traits of economic importance will provide practical benefits for the dairy goat industry, enabling genomic prediction of the breeding value of individuals, and facilitating discovery of the underlying genes and mutations. Genome-wide association studies were implemented to detect genetic regions that are significantly associated with effects on lactation yields of milk (MY), fat (FY), protein (PY) and somatic cell score (SCS) in New Zealand dairy goats.
Methods: A total of 4,840 goats were genotyped with the Caprine 50 K SNP chip (Illumina Inc.
The aim of this study was to estimate genetic parameters for lactation yields of milk (MY), fat (FY), protein (PY), and somatic cell score (SCS) of New Zealand dairy goats. The analysis used 64,604 lactation records from 23,583 does, kidding between 2004 and 2017, distributed in 21 flocks and representing 915 bucks. Estimates of genetic and residual (co) variances, heritabilities, and repeatabilities were obtained using a multiple-trait repeatability animal model.
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