Yak meat content in feed and its impact on the growth of rats

Author:

Wang Hong-jin1,Tian Xiao-xia2,Zhang Ke-wei1,Niu Jian-zhang2,Mei Shi-juan3,Hao Li-zhuang2,Li Yi1

Affiliation:

1. Department of Burns and Plastic Surgery, Affiliated Hospital of Qinghai University , Xining , 810012 , China

2. Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University , Xining , 810016 , China

3. Department of Oncology, Affiliated Hospital of Qinghai University , Xining , 810010 , China

Abstract

Abstract To evaluate the effects of varying proportions of yak meat in feed on the growth of rats and provide a theoretical basis for selecting the optimal feed proportion suitable for rats. This study was designed as a one-variable experiment. Fifty male rats were divided into five groups. The ratios of yak meat to basal feed of rats in four dietary treatment groups were 2:8, 4:6, 6:4, and 8:2, respectively, while those in the control group were only provided a basal diet. In the feeding experiment, the body weights of the rats were recorded on Day 0 and subsequently in the first, second, third, and fourth weeks, along with quantities of feed intake. The body and tail lengths, as well as the waist circumference of the rats, were measured, and blood samples were collected in the fourth week for routine blood and biochemistry investigations. The rats in the 4:6 feed group had the best body condition. They had normal body and tail lengths, smaller waist circumferences, good posture, and were in better overall health than rats in the other groups. The results indicate that the 4:6 diet was optimal for enhancing rats’ growth performance compared to the other diets.

Publisher

Walter de Gruyter GmbH

Reference22 articles.

1. Geletu US, Usmael MA, Mummed YY, Ibrahim AM. Quality of cattle meat and its compositional constituents. Vet Med Int. 2021;2021:7340495.

2. Bai BQ, Hao LZ, Chai ST, Niu JZ, Wang WB, Liu SJ. Research progress on quality characteristics of yak. Shi Pin Ke Xue. 2014;35(17):290–6.

3. Lancaster PA, Davis ME, Tedeschi LO, Rutledge JJ, Cundiff LV. A mathematical nutrition model adequately predicts beef and dairy cow intake and biological efficiency. Transl Anim Sci. 2021;6(1):txab230.

4. Xhao H, Mao J. Meat nutrition and quality analysis of Changtai Yak Beef. Hubei Agric Sci. 2017;56(16):3117–20.

5. Li W, Wang J, Zhang C, Wang N, Zhang C, Chen W, et al. Using an integrated feature-based molecular network and lipidomics approach to reveal the differential lipids in yak shanks and flanks. Food Chem. 2022;403:134352.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3