Weight growth of young Kazakh white-headed cattle of different genotypes

Насамбаев, Е. Г.; Kayumov, Foat G; Джуламанов, К. М.; Ахметалиева, А. Б.; Nugmanova, A.Ye.; Doszhanova, Aidana O

doi:10.33284/2658-3135-102-1-88

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, there is a need to study the dynamics of spermatological indicators of the semen of stud bulls and to determine the importance of stud bulls' origin within each breed, as well as to study the possibility of predicting their sperm productivity (Nassambaev et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

The Level of Breeding Value of Cattle of the Auliekol Breed, Calculated by the Blup Method

Bissembayev,

Shamshidin,

Kasenov

et al. 2023

OnLine Journal of Biological Sciences

View full text Add to dashboard Cite

Currently, the assessment of the breeding value of livestock provides for new approaches to determine the genetic qualities of animals that sustainably transmit to offspring. This is achieved by using the phenotypic data of the ancestors, the closest lateral relatives, as well as the animals themselves and their descendants, which, according to all canons, is facilitated by the so-called BLUP methodology. The purpose of the study is to establish the estimated breeding values of Auliekol cattle by productive indicators. For the Auliekol cattle breed, the estimated breeding values in terms of live weight at birth varied in the range: The first year from -3.47 to ++9.03; the second year -5.18 to +12.60; the third year -5.22 to +12.52; in 2021-5.18 to +12.52. The percentile distribution of the calculated EBV of the live weight of the Auliekol cattle breed at weaning in 2018 varied in the range from -19.

show abstract

Section: Resultsmentioning

confidence: 99%

The Level of Breeding Value of Cattle of the Auliekol Breed, Calculated by the Blup Method

Bissembayev,

Shamshidin,

Kasenov

et al. 2023

OnLine Journal of Biological Sciences

View full text Add to dashboard Cite

show abstract

“…The EWP was tested on a group of cattle in a pasture enclosed by an electric shepherd fence. The group consisted of 30 cows of the Kazakh white-headed breed (Nasambaev et al 2020), born in January 2020. At the time of testing, the cows' ages ranged from 30 to 31 months.…”

Section: Cattle Were Involved In the Experimentsmentioning

confidence: 99%

Automatic cattle weighing on pastures with behavioral analysis during drinking

Uskenov,

Mirmanov,

Tretyakov

et al. 2023

J. Anim. Behav. Biometeorol.

View full text Add to dashboard Cite

Livestock body weight (BW) and average daily weight gain (ADG) are primary indicators of beef cattle productivity. The conventional method of weighing involves moving the cattle to a weighing location, which is labor-intensive, stressful for the animals and has a negative impact on their growth. An alternative approach is to use special weighing platforms attached to the drinkers to weigh the animals. This method enables daily monitoring of BW and ADG without incurring additional labor costs or stress. In this study, an experimental weighing platform, previously developed at KazATU and named after S. Seifullin, was employed to measure livestock's partial body weight (PBW). The weighing platform recorded the weights of the animals on the front legs at one-second intervals, allowing for subsequent calculation of the animals' total weight. However, due to significant weight fluctuations observed when the animals were on the platform, the accuracy of calculating the weight based on a simple average of the one-second measurements was questionable. Hence, an algorithm was developed to determine live weight by analyzing the primary data from the scales and identifying moments of animal immobility during drinking. The calculated results were compared with both mean and median values and data from Kazakhstan's information base of selection and breeding work (IBSBW). The experimental method exhibited a stronger correlation (r = 0.925) with the actual IBSBW data compared to the mean method (r = 0.887) or the median method (r = 0.921).

show abstract

“…Agricultural enterprises in this region do not apply modern methods of animal housing and feeding, as well as technologies that could increase productivity and improve product quality. In a study conducted by E. Nasambaev et al (2022), breeding farms in West Kazakhstan including Aisulu farm, Khafiz farm, Dongelek farm and Plemzavod Chapaevsky LLP were considered. The main objective of the study is to collect data on young Kazakh white-headed cows in different calving seasons.…”

Section: Introductionmentioning

confidence: 99%

Innovation enterprise development strategy in animal husbandry

Mukhamedkhanova,

Seidakhmetov,

Tulemetova

et al. 2024

Scientific Horizons

View full text Add to dashboard Cite

The research relevance is determined by the need to create a strategy for the development of innovative entrepreneurial structures in livestock farming, the application of which can significantly increase the economic return on farms. The study aims to develop a strategy for the development of progressive livestock farms. The following general scientific methods were used for the study: analysis, synthesis, deduction, induction, and generalisation. Among the innovations considered were various genetic studies to improve the animal genome (the amount of meat and milk, the efficiency of feed assimilation), as well as the selection of genetically healthy embryos for breeding; the use of modern technologies in livestock farming, such as Radio Frequency Identification, Augmented Reality, Convolutional Neural Networks and Global Positioning System; technologies aimed at automating animal feeding processes. Particular attention was paid to various livestock monitoring systems created using advanced algorithms. A strategy for the development of innovative livestock farms was also presented, with drones, CCTV cameras, mixed reality glasses and scanner gloves as the main elements. Other necessary elements included a drone control module and software. Relevant calculations to prove the feasibility of implementing this strategy and its financial potential were also carried out. Provided that 82 units of various equipment are used, with a total cost of $187,970, the strategy provides for a profit of $1,072,030, with a 3-year implementation period and a payback period of less than 6 months. The practical significance of the information obtained is that it can be considered by researchers to further study the specifics of implementing innovative projects in livestock production, as well as to further develop various strategies for agricultural modernisation in Kazakhstan

show abstract

Weight growth of young Kazakh white-headed cattle of different genotypes

Cited by 5 publications

References 0 publications

The Level of Breeding Value of Cattle of the Auliekol Breed, Calculated by the Blup Method

The Level of Breeding Value of Cattle of the Auliekol Breed, Calculated by the Blup Method

Automatic cattle weighing on pastures with behavioral analysis during drinking

Innovation enterprise development strategy in animal husbandry

Contact Info

Product

Resources

About