本文選題：荷斯坦牛　切入點：產犢季節(jié)　出處：《華中農業(yè)大學》2017年碩士論文

【摘要】：迄今,國內外有關奶牛乳成分及其影響因素的研究報道雖然很多,但是,結果差異很大。由于湖北黃梅是新生的奶牛養(yǎng)殖縣,奶牛飼養(yǎng)管理經驗較少,加上當地地理環(huán)境和農業(yè)生態(tài)系統(tǒng)以及所引種的奶牛生產性能等因素與武漢以及中國北方差異較大。因此,為了更好地解析和推廣應用DHI(奶牛群體改良)技術,提高黃梅縣境內的奶牛養(yǎng)殖水平和牛奶質量,本文依據黃梅縣奶牛飼養(yǎng)規(guī)模最大的牧場(湖北現代牧業(yè)公司奶牛場)在2016年的DHI記錄,分析產奶量與乳成分、體細胞數、尿素氮之間、以及各成分之間的相互關系及其影響因素,旨在為更好地推廣應用奶牛DHI技術,設計科學合理的奶牛飼養(yǎng)管理措施,提高當地奶牛生產水平和產品質量提供理論依據。目的是分析2016年的DHI數據,指導2017年的奶牛飼養(yǎng)管理,以進一步提高單產水平和乳品質量及養(yǎng)牛經濟效益。主要研究內容和結果如下:一、奶牛產奶量和乳成分的相關性產奶量與乳脂率、乳蛋白率、體細胞分、總固形物率呈負相關關系(相關系數分別為-0.168,-0.249,-0.095,-0.179,p0.05)。與尿素氮、乳糖率呈正相關關系(相關系數分別為0.050,0.153,p0.05)。二、乳成分之間的相關性乳糖與總固形物率(相關系數為0.026,p0.05)和乳蛋白率均呈正相關關系(相關系數為0.003,p0.05);乳糖率與乳脂率、體細胞分、尿素氮均呈負相關關系(相關系數分別為-0.140,-0.152,-0.030,p0.05)�？偣绦挝锱c乳脂率(相關系數為0.935,p0.05)、乳蛋白率(相關系數為0.532,p0.05)、體細胞分(相關系數為0.001,p0.05)、尿素氮(相關系數為0.091,p0.05)呈正相關關系;乳脂率與乳蛋白率(相關系數為0.270,p0.05)、體細胞分(相關系數為0.009,p0.05)、尿素氮(相關系數為0.195,p0.05)呈正相關關系;乳蛋白率與體細胞分呈現極顯著的正相關關系(相關系數為0.097,p0.01),與尿素氮呈極顯著的負相關關系(相關系數為-0.100 p0.01)。體細胞分與尿素氮呈弱的正相關關系(相關系數為0.008,p0.05)。三、影響奶牛產奶量和乳成分的因素采樣月份、采樣季節(jié)、胎次、泌乳月對產奶量、乳脂率、乳蛋白率、乳尿素氮及體細胞數、總固形物、乳糖均具有顯著的影響(p0.05)。產犢季節(jié)對乳脂率的影響不顯著(p0.05),但顯著影響產奶量及其他乳成分含量(p0.05)。
[Abstract]:Up to now, although there are many reports about milk composition and its influencing factors, the results are very different. Because Huang Mei is a new dairy breeding county in Hubei Province, the experience of dairy cow raising and management is relatively small. In addition, the local geographical environment and agro-ecosystem, as well as the production performance of the dairy cows introduced, are quite different from those of Wuhan and northern China. Therefore, in order to better analyze and popularize the technology of DHI (dairy cow population improvement), To improve the dairy cattle breeding level and milk quality in Huangmei County, according to the DHI records of the dairy farm of Hubei Modern Animal Husbandry Company in 2016, the milk yield, milk composition and somatic cell number were analyzed. The relationship between urea nitrogen and its components and its influencing factors are aimed at designing scientific and reasonable management measures for the better application of dairy cow DHI technology. To improve the production level and product quality of local cows. The aim is to analyze the DHI data of 2016 and guide the management of dairy cattle in 2017. The main research contents and results are as follows: 1. The correlation between milk yield and milk composition, milk fat rate, milk protein rate, somatic cell fraction, The total solids rate was negatively correlated with urea nitrogen and lactose rate (correlation coefficients were -0.168- 0.249U -0.095U -0.179C p 0.05g, respectively). There was a positive correlation between lactose and total solids rate (correlation coefficient was 0.026%, p 0.05) and milk protein rate (correlation coefficient was 0.003%, P 0.05), lactose rate, milk fat rate, somatic cell fraction, There was a negative correlation between urea nitrogen and milk fat rate (correlation coefficient was 0.935), milk protein rate (correlation coefficient was 0.532p0.05N), somatic cell (correlation coefficient was 0.001p0.05U), urea nitrogen (correlation coefficient was 0.091p0.05) and urea nitrogen (correlation coefficient was 0.091p0.05). There was a negative correlation between urea nitrogen and milk fat rate (correlation coefficient: 0.935%, P < 0.05), correlation coefficient (correlation coefficient = 0.532P 0.05), somatic cell score (correlation coefficient = 0.001p0.05), urea nitrogen (correlation coefficient = 0.091p0.05). There was a positive correlation between milk fat rate and milk protein rate (correlation coefficient was 0.270), somatic cell fraction (correlation coefficient was 0.009) and urea nitrogen (correlation coefficient was 0.195, p 0.05). There was a very significant positive correlation between lactoprotein percentage and somatic cell score (correlation coefficient was 0.097%, p 0.01), and a very significant negative correlation between milk protein percentage and urea nitrogen (correlation coefficient was -0.100 p0.01g). There was a weak positive correlation between somatic cell fraction and urea nitrogen (correlation coefficient was 0.008 (p 0.05)). The sampling month, sampling season, birth order, milk yield, milk fat rate, milk protein rate, milk urea nitrogen and somatic cell number, total solids, milk yield, milk fat rate, milk protein rate, milk yield, milk composition and milk yield of dairy cows were analyzed. Lactose had a significant effect on the milk fat rate, but the milk yield and other milk components were significantly affected by the calving season, but the milk fat rate was not significantly affected by the calving season, but the milk yield and other milk components were significantly affected by the calving season.
【學位授予單位】：華中農業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：S823

【參考文獻】

相關期刊論文 前10條

1 曹志軍;胡海霞;劉敏;白洋洋;趙彩;;牛乳中體細胞數與乳成分的相關性研究[J];食品科技;2016年11期

2 周慶民;張艷;馮萬宇;徐馨;黃健;;牛奶中體細胞數相關因素及與乳成分相關性的研究[J];中國奶牛;2016年10期

3 俞大闊;余長林;湯守錕;陳濤;肖燕玲;彭潔;劉超英;張永云;李衛(wèi)真;劉學洪;;德宏奶水牛乳脂率與DHI其他指標相關性分析[J];上海畜牧獸醫(yī)通訊;2016年04期

4 吳雙軍;尚嬌;尚海彬;李強子;張麗;;不同年齡·胎次和泌乳月對奶牛乳脂率的影響[J];安徽農業(yè)科學;2016年14期

5 金亞東;李艷艷;徐曉鋒;;奶牛乳中體細胞數對乳產量及乳成分的影響[J];中國乳品工業(yè);2016年06期

6 田月珍;馮文;王雅春;黃錫霞;俞英;;新疆褐牛乳中體細胞數與產奶性狀的影響因素分析[J];中國農業(yè)科學;2016年12期

7 陳麗麗;馬騰宇;趙慶彬;姚強;;天津地區(qū)不同季節(jié)對奶牛產奶性能的影響[J];中國乳業(yè);2016年04期

8 魏琳琳;楊繼業(yè);秦雪;楊忠;楊琳;杜光華;弓瑞娟;楊德成;;季節(jié)、胎次、泌乳時期與奶牛產奶量及乳成分的相關分析[J];中國奶牛;2015年Z3期

9 王愛芳;黃錫霞;再娜古麗·君居列克;劉麗元;譚世新;朱兵山;王玉欽;古再麗奴爾·艾尼瓦爾;帕爾哈提·木鐵力甫;劉志強;;中國荷斯坦牛和新疆褐牛DHI數據分析[J];中國奶牛;2014年22期

10 陳洪波;程蕾;付榮譜;王定發(fā);劉曉華;凌明湖;胡修忠;;胎次對奶牛產奶性狀的影響及性狀間相關性研究[J];中國奶牛;2014年14期

相關碩士學位論文 前3條

1 田丹;規(guī)�；膛鯠HI測定結果的分析研究[D];新疆農業(yè)大學;2015年

2 趙占龍;武漢地區(qū)荷斯坦奶牛產奶和繁殖性狀遺傳分析[D];華中農業(yè)大學;2015年

3 賈娜;新疆北疆地區(qū)規(guī)模化牛場DHI測定結果的分析研究[D];新疆農業(yè)大學;2012年

，

本文編號：1660738