| Literature DB >> 32734122 |
Xiaoyan Zhu1, Jing Wen2, Jianguo Wang1.
Abstract
The present study was undertaken with the aim to examine the relationship between temperature and humidity and milk production traits in Guanzhong dairy goats reared in China, and to assess the possibility of future genetic selection in dairy goats for increased tolerance to adverse environmental conditions, thereby improving goat farm management in China. Production data included 149 Guanzhong dairy goats with the first-lactation collected throughout 2019. The traits investigated were milk yield, and indicators of milk composition of Guanzhong dairy goats. For high temperature, significant and marked daily milk yield drops, up to 16% (about 0.23 kg/d per head) were observed in July and August when compared with the other months. The fat content, protein content, and dry matter were significantly lower in July and August. Importantly, milk production traits present significant correlations with high temperature, while high humidity had little effect on milk composition of Guanzhong dairy goats. Therefore, the adverse environmental conditions on farm profit is not negligible, and the strategies could be improving the goat farm management as well as obtaining thermotolerant animals through genetic selection.Entities:
Keywords: Guanzhong dairy goats; Humidity; Milk composition; Milk yield; Temperature
Year: 2020 PMID: 32734122 PMCID: PMC7386712 DOI: 10.1016/j.vas.2020.100121
Source DB: PubMed Journal: Vet Anim Sci ISSN: 2451-943X
Fig. 1Different temperatures have an influence on the daily milk yield and the related indicators of milk composition in Guanzhong dairy goats. A, the daily milk yield was significantly higher in the other months during the year 2016 when compared to the month of August except July (p < 0.001). B-E, the related indicators of milk composition were higher in the other months during the year 2016 when compared to the month of August except July and/or September (p < 0.001, p < 0.01, p < 0.05). Results are presented as means ± SEM. Group differences were analyzed by one-way ANOVA followed by Dunnett's Multiple Comparison Test. ***, p < 0.001, ** p < 0.01, * p < 0.05 when compared to that of the month of August.
Fig. 2Pearson correlation coefficients between temperature, humidity and the daily milk yield, and the related indicators of milk composition. A, Pearson 's test showed strong negative correlation between temperature and the daily milk yield (r = -0.44, p < 0.0001). B-E, Pearson 's test showed strong negative correlations between temperature and the related indicators of milk composition (B: fat content: r = -0.91, p < 0.0001; C: protein content: r = -0.84, p < 0.0001; D: dry matter: r = -0.91, p < 0.0001; E: non-fat milk solid: r = -0.65, p < 0.0001). F, Pearson 's test showed positive correlation between humidity and the daily milk yield (r = 0.27, p = 0.004). G-J, Pearson 's test showed no correlations between humidity and the related indicators of milk composition (G: fat content: r = 0.06, p =0.51; H: protein content: r = -0.01, p =0.92; I: dry matter: r = 0.03, p =0.74; J: non-fat milk solid: r = -0.16, p =0.09).