Otte Joachim, Schnier Christian, Allan Fiona K, Salmon Gareth, Wong Johanna T, Minjauw Bruno
Food and Agriculture Organization (FAO), Rome, Italy.
Supporting Evidence Based Interventions-Livestock (SEBI-Livestock), Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, United Kingdom.
Front Vet Sci. 2024 Jul 24;11:1389303. doi: 10.3389/fvets.2024.1389303. eCollection 2024.
In sub-Saharan Africa, pre-weaning young stock mortality (YSM) is in the order of 20 to 30% across most livestock species and production systems. High YSM has significant economic implications for livestock keepers, but few studies provide estimates of the "cost of YSM." This study explores a bio-economic herd modeling approach to estimate the "cost of YSM" at farming/livestock system level.
The static zero-growth version of DYNMOD was used to calculate the annual physical and monetary output of a sheep flock consisting of 100 breeding females at different levels of lamb mortality. Production parameter values and prices were taken from recently published research. Calculations were carried out for values of lamb mortality decreasing from 30% to 0% in 5% intervals, with 20% representing the "baseline" YSM. Calculations were repeated for a "high" fertility scenario (100% vs. 59% parturition rate) to gauge the sensitivity of the cost of YSM to another parameter determining flock productivity.
The relation of revenue per head and YSM is close to linear over the range of analyzed YSM with 1% decrease in YSM resulting in an increase in revenue per animal of approximately 1%. At the higher fertility rate, the absolute cost of YSM to sheep farmers is higher while the relative increase in revenue per animal resulting from YSM reduction is lower. The estimated difference in revenue of the 100-ewe flock between the 20% and 0% lamb mortality scenarios (at baseline fertility) amounts to approximately USD 90 per additionally surviving lamb, which is far above its market value.
Reduced lamb mortality ultimately impacts flock revenue through increased sales of "mature" animals, which embody the value of a lamb plus the revenue/profit from raising it to marketable age/weight. The modeling results suggest that foregone profit is an important component of the systemic "cost of YSM." Consequently, expected profit per animal, in addition to its current market value, is essential for estimating the absolute cost of YSM at farming system level.
在撒哈拉以南非洲地区,大多数牲畜品种和生产系统中,断奶前幼畜死亡率(YSM)约为20%至30%。高YSM对牲畜饲养者具有重大经济影响,但很少有研究提供“YSM成本”的估算。本研究探索了一种生物经济畜群建模方法,以估算养殖/牲畜系统层面的“YSM成本”。
使用DYNMOD的静态零增长版本,计算由100只繁殖母羊组成的羊群在不同羔羊死亡率水平下的年度实物和货币产出。生产参数值和价格取自最近发表的研究。对羔羊死亡率值从30%以5%的间隔降至0%进行计算,其中20%代表“基线”YSM。针对“高”生育率情景(分娩率100%对59%)重复计算,以衡量YSM成本对另一个决定羊群生产力的参数的敏感性。
在所分析的YSM范围内,每头牲畜的收入与YSM的关系接近线性,YSM每降低1%,每头牲畜的收入增加约1%。在较高生育率下,YSM对养羊户的绝对成本更高,而降低YSM导致的每头牲畜收入相对增加更低。在20%和0%羔羊死亡率情景(基线生育率)之间,100只母羊的羊群收入估计差异约为每只额外存活羔羊90美元,这远高于其市场价值。
降低羔羊死亡率最终通过增加“成年”动物的销售来影响羊群收入,“成年”动物体现了一只羔羊的价值以及将其饲养到可销售年龄/体重的收入/利润。建模结果表明,放弃的利润是系统性“YSM成本”的重要组成部分。因此,除了当前市场价值外,每头牲畜的预期利润对于估算养殖系统层面YSM的绝对成本至关重要。