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预测蛋鸡粪便肥料成分含量的试验研究
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摘要
畜牧业的高速发展,畜禽数量大幅度增加,畜禽粪便大量产生,给生态环境带来了严重的污染。畜禽粪便还田用作有机肥是对其资源化、无害化利用的根本出路,粪肥还田就须预知其中肥料成分含量。目前快速预测畜禽粪便中主要肥料成分含量(N、P、K)的方法主要有两种:一种是基于检测技术手段的快速测定法,另一种是数学模型法。
     针对基于理化指标检测技术手段的快速测定法进行了研究。对蛋鸡粪便比重和电导率与其中肥料成分含量的相关关系进行了试验研究。在不同养鸡场采集不同生长阶段的蛋鸡粪便样本26份,利用比重计和电导仪测定其比重和电导率,利用实验室常规分析方法测其中肥料成分含量,分析其粪便比重和电导率与其中肥料成分含量相关关系。结果表明:蛋鸡粪便比重、电导率与其中总磷、总钾含量之间具有显著的相关关系;随着稀释倍数的增加,蛋鸡粪便的电导率呈乘幂或线性趋势下降,粪便中肥料成分含量与电导率的回归方程的相关系数均为先增大后减小。
     针对基于蛋鸡日粮基础数据的数学模型法进行了研究。通过强饲试验考察蛋鸡摄入各成分量与排出粪便中肥料成分含量之间的相关关系以及饲料组成对其排出粪便中肥料成分含量的影响。运用一元、多元线性和非线性回归分析方法建立了预测蛋鸡粪便中肥料成分含量的模型,并进行了显著性检验,选出较为可靠、经济、实用的模型。数学模型法简便易行,为预测家禽粪便中肥料成分含量提供了一种快速、有效的方法。对不同日粮处理组排出肥料成分含量方差分析,结果表明:饲料代谢能、干物质含量及各营养成分含量的不同直接影响蛋鸡粪便中肥料成分的含量,经验模型的建立为粪便的减排研究工作提供了手段。
     在同一试验条件下对快速测定法和数学模型法进行了对比研究。饲养试验中分析饲喂两种不同配方日粮的蛋鸡粪便中肥料成分含量,建立日粮基础数据与粪便中肥料成分含量之间相关关系的数学模型;同时建立理化指标与其中肥料成分含量相关关系的数学模型;从中选出了预测排粪量和粪便中肥料成分含量的较优模型,并对较优模型进行了试验验证,证明预测值与实际试验测得值之间无显著差异,可以利用选出的较优模型来较准确地预测蛋鸡粪便中肥料成分含量;同时比较两种预测方法的预测精度,预测粪中氮、磷、铵态氮含量是数学模型法预测精度高于快速测定法,预测粪中钾含量的预测精度则为快速测定法高于数学模型法。研究表明日粮中各营养成分含量对蛋鸡粪便中各肥料成分含量有着重要的影响。
     最后,本论文对家禽粪便肥料成分含量预测研究的改进和今后的研究方向提出了建议。
Intensive husbandry caused serious environmental pollution, while disposal of poultry manure to agricultural land is the most economical and environmental sound solution. It was required to estimate the nutrient contents in poultry manure before disposing it to the land. There are two methods for estimating the nutrient contents in poultry manure. The first one is rapid tests based on testing technology; the second one is mathematical model.
    Studied the rapid tests method, which is based on the testing technology of physical-mechanical characteristics. 26 typical layer manure samples were collected for studying the relationship between physical-mechanical characteristics and the nutrient contents in layer manure. According to the results of analysis, specific gravity and electric conductivity can estimate the P, K contents in layer manure. The influence of dilution to the electric conductivity of the layer manure solutions was tested. With increase of dilution multiple, the electric conductivity declines in power or linearity trend.
    Studied the mathematical model method, which is based on the data of layers and their dietary intake. In the forced feeding experiment, the relationship between the nutrient contents in layer manure and their dietary intake was analyzed; the impact of diet difference on the nutrient contents in layer manure was also analyzed in this chapter. A series of empirical models were developed by regression analysis. The most reliable, economical and useful models were selected. The nutrient contents in layer feed have direct effect on the nutrient contents in layer manure.
    Studied the rapid tests method and the mathematical model method simultaneously in the same experiment. The relationship between physical-mechanical characteristics and the nutrient contents in layer manure were developed; the relationship between the nutrient contents in layer manure and their dietary intake was analyzed and developed, too. Then the estimating precisions of the two methods were compared. The most reliable, economical and simple models were selected. The results of the estimation by models were identical with the experiment results on the whole. The precision of the mathematical model method is better than that of the rapid tests method on estimating the N, P and NH/-N content, while estimating the K content the precision of the rapid tests method is better than that of the mathematical model method. The result suggests that the nutrient contents of feed have important effect on the contents in layer manure.
    At last, the paper put some suggestions about the improvement and the further study on estimation of the nutrient contents in poultry manure in the future.
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