Gonzalez-Pena Dianelys, Knox Robert V, Rodriguez-Zas Sandra L
Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Theriogenology. 2016 Jan 15;85(2):335-44. doi: 10.1016/j.theriogenology.2015.09.014. Epub 2015 Sep 12.
The economic impact of selection for semen traits on pig production systems and potential interaction with artificial insemination (AI) technique and semen dose remains partially understood. The objectives of this study were to compare the financial indicators (gross return, net profit, cost) in a three-tier pig production system under one of two selection strategies: a traditional strategy including nine paternal and maternal traits (S9) and an advanced strategy that adds four semen traits (S13). Maternal traits included the number of pigs born alive, litter birth weight, adjusted 21-day litter weight, and the number of pigs at 21 days, and paternal traits included days to 113.5 kg, back fat, average daily gain, feed efficiency, and carcass lean percentage. The four semen traits included volume, concentration, progressive motility of spermatozoa, and abnormal spermatozoa. Simultaneously, the impact of two AI techniques and a range of fresh refrigerated semen doses including cervical AI with 3 × 10(9) (CAI3) and 2 × 10(9) (CAI2) sperm cells/dose, and intrauterine AI with 1.5 × 10(9) (IUI1.5), 0.75 × 10(9) (IUI0.75), and 0.5 × 10(9) (IUI0.5) sperm cells/dose were evaluated. These factors were also evaluated using a range of farrowing rates (60%-90%), litter sizes (8-14 live-born pigs), and a selected semen collection frequency. The financial impact of the factors was assessed through simulation of a three-way crossbreeding system (maternal nucleus lines A and B and paternal nucleus line C) using ZPLAN. The highest return on investment (profit/cost) of boars was observed at 2.33 collections/wk (three periods of 24 hours between collections). Under this schedule, a significant (P < 0.0001) interaction between the selection strategy and the AI technique-dose combination was identified for the gross return; meanwhile, significant (P < 0.0001) additive effects of the selection strategy and AI technique-dose combination were observed for the net profit. The highest gross return was obtained under S13 with IUI0.75 and IUI0.5. The net profit of S13 was 34.37% higher than the traditional S9 (P < 0.0001). The net profit favored IUI0.5 with relative differences of 4.13%, 2.41%, 1.72%, and 0.43% compared to CAI3, CAI2, IUI1.5, and IUI0.75, respectively. The advanced selection strategy proposed including four semen traits is recommended on the basis of the higher profitability relative to the traditional strategy.
精液性状选择对生猪生产系统的经济影响以及与人工授精(AI)技术和精液剂量之间的潜在相互作用仍未完全明晰。本研究的目的是比较在两种选择策略之一的三层生猪生产系统中的财务指标(总回报、净利润、成本):一种传统策略包括九个父本和母本性状(S9),以及一种增加四个精液性状的先进策略(S13)。母本性状包括活产仔猪数、窝产仔重、调整后的21日龄窝重以及21日龄仔猪数,父本性状包括达113.5千克的天数、背膘厚、平均日增重、饲料效率和胴体瘦肉率。四个精液性状包括体积、浓度、精子的前向运动率和异常精子率。同时,评估了两种AI技术以及一系列新鲜冷藏精液剂量的影响,包括每剂含3×10⁹(CAI3)和2×10⁹(CAI2)个精子细胞的子宫颈人工授精,以及每剂含1.5×10⁹(IUI1.5)、0.75×10⁹(IUI0.75)和0.5×10⁹(IUI0.5)个精子细胞的子宫内人工授精。还使用一系列产仔率(60% - 90%)、窝产仔数(8 - 14头活产仔猪)和选定的采精频率对这些因素进行了评估。通过使用ZPLAN模拟三元杂交系统(母本核心系A和B以及父本核心系C)评估了这些因素的财务影响。公猪在每周2.3次采精(两次采精间隔24小时,共三个时间段)时观察到最高投资回报率(利润/成本)。在此计划下,总回报方面,选择策略与AI技术 - 剂量组合之间存在显著(P < 0.0001)交互作用;同时,净利润方面,观察到选择策略和AI技术 - 剂量组合具有显著(P < 0.0001)的累加效应。在S13与IUI0.75和IUI0.5条件下获得最高总回报。S13的净利润比传统的S9高34.37%(P < 0.0001)。净利润方面,与CAI3、CAI2、IUI1.5和IUI0.75相比,IUI0.5分别具有4.13%、2.41%、1.72%和0.43%的相对优势。基于相对于传统策略更高的盈利能力,建议采用包括四个精液性状的先进选择策略。