Czech Journal of Animal Science, 2022 (vol. 67), issue 11
Application strategy for sustainable livestock production with farm animal algorithms in response to climate change up to 2050: A reviewReview
Sang-O Park
Czech J. Anim. Sci., 2022, 67(11):425-441 | DOI: 10.17221/172/2022-CJAS 
Global warming caused by climate change can increase heat stress and greenhouse gas (GHG) emissions, leading to food problems and livestock crises. Thus, pre-emptive responses are required to mitigate the food problems and livestock crises. The potential of a livestock crisis caused by global warming highlights the need for sustainable livestock production in response to climate change using a farm animal algorithm in order to address the population increase and avoid food problems in the future. In particular, the demand for animal-based foods has increased. Such a climate change threatens the livestock environment, production,...
Differentially expressed genes in the longissimus dorsi muscle between the Chinese indigenous Ningxiang pig and Large White breed using RNA sequencingOriginal Paper
Fang Wang, Linfeng Lei, Zhaobin Wang, Yulong Yin, Huansheng Yang, Zhe Yang, Jiashun Chen
Czech J. Anim. Sci., 2022, 67(11):442-453 | DOI: 10.17221/103/2022-CJAS
High intramuscular fat content of pigs improves pork quality and increasing intramuscular fat deposition is a long-term goal in the husbandry of pigs reared for meat production. There are significant phenotypic differences between the Ningxiang (NX) pigs (an indigenous Chinese breed) and Large White (LW) pigs (a western, lean-type breed). The present work aimed to gain insight into the longissimus dorsi muscle transcriptome between the two pig breeds. We investigated the molecular basis of these differences by comparing their transcriptome profiles. RNA-seq technology was used to identify the differentially expressed genes (DEGs) in the longissimus...
Comparison of some non-linear functions to describe the growth for Linda geese with CART and XGBoost algorithmsOriginal Paper
Cem Tirink, Hasan Önder, Sabri Yurtseven, Zeliha Kaya Akil
Czech J. Anim. Sci., 2022, 67(11):454-464 | DOI: 10.17221/129/2022-CJAS
The aim of this study was to determine the best non-linear function describing the growth of the Linda goose breed. To achieve this aim, five non-linear functions, such as exponential, logistic, von Bertalanffy, Brody and Gompertz, were employed to define the live weight-age relationship for male and female Linda geese. In the study, 2 397 body weight-age records from 75 females and 66 males collected from three days to 17 weeks of age were evaluated using the "easynls" and "nlstools" packages for growth modelling of the Linda goose in R software. Each model was analysed in the live weight records of all the geese separately for males and females....
The effect of water temperature, prey availability and presence of conspecifics on prey consumption of pikeperch (Sander lucioperca) Original Paper
Oleksandr Malinovskyi, Lukáš Veselý, Carlos Yanes-Roca, Tomáš Policar
Czech J. Anim. Sci., 2022, 67(11):465-473 | DOI: 10.17221/162/2022-CJAS
In this study, the effect of water temperature, predator's sex, prey density, and the presence of conspecifics on prey consumption of pikeperch (Sander lucioperca) was experimentally tested. In Experiment 1, predators of both sexes [males: total length (TL) = 473 ± 22 mm and body weight (BW) = 1 070 ± 100 g and females: TL = 464 ± 12 mm and BW = 1 060 ± 100 g] were kept in separate tanks and exposed to different densities of prey (Pseudorasbora parva; 3, 6, 12, 24 and 48 prey fishes per tank) under fixed water temperatures of 4.5 °C, 8.5 °C, and 12.5 °C. After 63 days of this experiment, it was found that...