确定影响牛奶生产的主要因素:以斯里兰卡巴杜拉地区奶农为例

K. Kumari, J. Jayawardana, J. Jayasinghe
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摘要

在斯里兰卡的Badulla地区等高潜力地区,奶牛养殖仍然是畜牧农民的经济支柱。不过,牛奶产量一直很低。因此,本研究旨在探讨影响巴杜拉奶牛产奶量的因素。采用多阶段分层、简单随机抽样的方法,选取500名奶农。使用预先测试的结构化问卷收集了牛奶生产和社会经济数据,涵盖了巴杜拉的15个司秘书处。对数据进行描述性统计和推断性统计,然后进行回归分析。研究结果表明,奶牛集约化养殖主要集中在高原湿区(87.14%)。泽西品种为主要品种(86.4%),平均日产奶量为6.19升/头。Haputhale和Mahiyangana的产奶量分别最高(10.89±1.73 L/奶牛/天)和最低(3.17±0.38 L/奶牛/天)。拟合最佳的多元线性回归模型预测的日产奶量R2值为62.91%,反映了奶农经验、奶农年龄、奶牛数量、饲料种类、棚况、精料补饲、精料补饲频次、补水频次、犊牛采食量、断奶年龄、奶牛饲喂方式、八都拉地区日产奶量显著影响奶农的矿物质补给量和月收入(p<0.05)。然而,据报道,缺乏高产杂交品种、人工受精成功率较低、草场质量差和草场生产的季节性、收集奶网络差、农民出栏价格低、浓缩奶价格高,以及庄园地区动物设施不足是未来提高斯里兰卡Badulla地区奶产量需要适当关注的关键制约因素。关键词:奶牛养殖,产奶量,影响因素,回归分析
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Identifications of the major factors that influence milk production: The case of dairy farmers in Badulla district, Sri Lanka
Dairy farming remains the economic backbone of livestock farmers in high potential area like Badulla district in Sri Lanka. Though, milk production has been quite low. Therefore, this study was carried out to investigate the factors affecting dairy cattle milk production in Badulla. Total of 500 dairy farmers were selected using multistage stratified and simple random sampling techniques. Milk production and socio-economic data were collected using a pre-tested structured questionnaire covering 15 divisional secretariats in Badulla. Data were analyzed for descriptive and inferential statistics followed by regression analysis. Results of the study revealed that the intensive dairy cattle farming is operated (87.14%) in up country wet zone. Jersey breed was the major breed (86.4%) accounting for 6.19 L/cow average daily milk production. The highest (10.89±1.73 L/cow/day) and lowest (3.17±0.38 L/cow/day) milk productions were reported in Haputhale and Mahiyangana, respectively. The best fitted multiple linear regression model predicted that R2 value of 62.91% daily milk production suggesting farmers experience, farmer’s age, number of milking cows, forage type, shed condition, concentrate feeding supplement, frequency of concentrate supplement, frequency of water supplement, calves feeding amount age at wean, feeding method of cow, mineral supplement and monthly income of the farmers were significantly (p<0.05) affected by the daily milk production of Badulla district. However, lack of high yielding cross breeds, less success rate in artificial inseminations, low quality pasture and seasonality in pasture production, poor milk collection network and low farmer gate price, high price of concentrates, and inadequate facilities for animals in the estate area were reported as key constraints which need to be properly focused on in future to increase milk production in Badulla district, Sri Lanka. Key words:  Dairy cattle farming, milk production, factors, regression analysis.
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