An investigation of links between metabolic rate and feed efficiency in European sea bass Dicentrarchus labrax

Feed efficiency (FE) is the amount of body weight gain for a given feed intake. Improving FE through selective breeding is key for sustainable finfish aquaculture but its evaluation at individual level is technically challenging. We therefore investigated whether individual routine metabolic rate (RMR) was a predictor of individual FE in the European sea bass Dicentrarchus labrax, a major species in European mariculture. The European sea bass has three genetically distinct populations across its geographical range, namely Atlantic (AT), West Mediterranean (WM), and East Mediterranean (EM). We compared FE and RMR of fish from these three populations at 18 or 24 °C. We held 200 fish (62 AT, 66 WM, and 72 EM) in individual aquaria and fed them from ad libitum down to fasting. FI was assessed for an ad libitum feeding rate and for a fixed restricted ration (1% of metabolic body weight·day⁻¹, with metabolic body weight = body weight^0.8). After being refed 12 wk in a common tank, individual RMR was measured over 36 h by intermittent flow respirometry. There was a significant effect of temperature whereby fish at 18 °C had greater mean FE (P < 0.05) and lower RMR (P < 0.001). There was also a significant effect of population, where AT fish had lower FE (P < 0.05) and greater RMR (P < 0.001) than WM and EM, at both temperatures. Despite these differences in temperature and population means, individual FE and RMR were not significantly correlated (P > 0.05). Therefore, although the results provide evidence of an association between metabolic rate and FE, RMR was not a predictor of individual FE, for reasons that require further investigation.     

青藏高原典型高寒荒漠生长季蒸散及水分消耗特征研究

为探究青藏高原典型高寒荒漠下垫面水分消耗规律,以2019年青藏高原典型高寒荒漠地区沱沱河站监测的涡动数据和微气象数据为基础,分析不同时间尺度蒸散值的变化特征和下垫面水分消耗特征,研究结果表明：小时平均蒸散发量最大值出现在14—15时,达0.46 mm·h^-1;日蒸散值最大值出现在7月7日,为8.58 mm·d^-1,最小值出现在4月2日,为0.30 mm·d^-1;整个生长季蒸散值呈先增加后减小趋势,其中7月份最大,为120.68 mm,4月份最小,为64.80 mm;生长季总蒸散发量为581.15 mm,平均每天蒸散4.01 mm。整个生长季累计降水量为235.70 mm,蒸散发量与降水量（Precipitation,Pr）的差值（The difference between ET and Precipitation,IETP）显示,2019年青藏高原典型高寒荒漠植被生长季（4—8月）水汽交换以下垫面水分消耗为主。     

疫情下乳制品需求旺盛,低温鲜奶市场蓬勃发展

2020年新冠肺炎疫情（简称“疫情”）爆发后,我国乳制品消费量一度下降,随着疫情逐步得到控制,液态乳制品销售量于4月后开始恢复为同比正向增长,此后乳制品消费总量加快增长,消费结构不断优化,尤其是低温鲜奶消费一枝独秀。近年来,我国低温鲜奶消费呈加速增长趋势,2020年同比增幅达25.6%,增速创历史新高。总的看,近年来在政策鼓励、技术创新、市场培育三大因素推动下,低温鲜奶消费持续较快增长,而疫情下消费者对营养健康的关注度提高大大助推了这一进程,预计这一趋势仍将持续,建议顺应消费升级趋势,加大奶源生产基地和冷链设施建设,构筑乳业高质量发展的基础。     

Single nucleotide polymorphism in avian uncoupling protein gene is associated with thermoregulation in chicks

Avian uncoupling protein (av-UCP) is a key protein for thermoregulation in poultry. A single nucleotide polymorphism (SNP) in the av-UCP gene has been reported in chickens. The purpose of the current study was to clarify the association between this av-UCP gene mutation and thermoregulation in chickens. Wild and mutant type chicks for the av-UCP gene SNP (g. 1270 of the av-UCP gene exon 3 with C to T substitution and amino acid substitution) were exposed to high ambient temperature. Rectal temperature, radiation temperature on the body surface, and the expression of heat dissipation behavior (wing drooping and panting) during heat exposure were measured. In addition, oxygen consumption rate in the thermoneutral zone in wild and mutant type chicks was measured. Changes in wing temperature during heat exposure in wild-type chicks were lower than those in mutants. The latency of continuous wing drooping during heat exposure in wild-type chicks was shorter than in mutant chicks. It was also found that the SNP in the av-UCP gene caused reduced oxygen consumption. These results suggest that the av-UCP gene mutation affects thermoregulation, especially heat production, in chickens.     

高端牛奶的市场竞争环境分析

在消费升级和国民健康意识的普及趋势下,我国乳制品消费量也逐渐提高,高端牛奶在特仑苏和金典广泛的市场教育下,迎来了稳定增长。牛奶高端化大势所趋,地方品牌在高端市场、超高端市场为消费者提供了更多选择。这一点线下市场尤其明显,线下市场地方品牌的高端奶占据了2/3以上的市场份额,“特金”一统高端市场的时代正在成为过去式。同时,地方品牌的活跃和高端产品的多元化也充分说明统一标准化与天然概念不能兼得。     

基于KPCA-WLSSVM的建筑能耗预测模型

为降低建筑能耗影响因素间复杂相关性对模型性能的影响,建立了一种基于KPCA-WLSSVM的建筑能耗预测模型。利用核主元分析(KPCA)对输入变量进行数据压缩,消除变量之间的相关性,简化模型结构;进一步采用加权最小二乘支持向量机(WLSSVM)方法建立建筑能耗预测模型,同时结合一种新型混沌粒子群-模拟退火混合优化(CPSO-SA)算法对模型参数进行优化,以提高模型的预测性能及泛化能力。通过将KPCA-WLSSVM模型方法应用于某办公建筑能耗的预测中,并与WLSSVM、LSSVM及RBFNN模型相比,实验结果表明,KPCA-WLSSVM模型方法能有效提高建筑能耗预测精度。     

节水灌溉条件下冬小麦耗水规律及其生态基础研究

从土壤水分、作物生长发育及气象条件三个方面分析了冬小麦农田耗水变化特点。结果表明：在土壤水分状况较好条件下冬小麦农田耗水强度呈双峰曲线变化,不同灌溉处理的耗水高峰出现时期及其峰值不同,而与灌水时期一致,同时灌溉能够明显降低冬小麦利用土壤底墒水能力。在拔节以前冬小麦农田耗水与大气蒸发力呈显著直线相关;拔节后与其干物质积累以及土壤水分含量呈显著正相关,拔节期是冬小麦需水的生理生态临界期。     

喷油泵回油压力对油耗测试精度的影响及解决方法

为提高发动机的油耗测试精度，对影响油耗测试精度的主要原因及其解决方法进行了分析研究和试验。试验表明：柱塞式喷油泵的回油压力是影响测试精度的主要原因，用软件消除回油压力信号和用消波器消除回油压力波，是消除回油压力影响、提高油耗测试精度最简便可靠的方法。     

商丘式区农业用水量预报模型研究

预测试区的年用水量,便于预报地下水位,采取合理的措施来化解该地区存在的供水与需水矛盾,确保当地工农业生产和人民正常生活.在河南省商丘试区,建立了农业用水量预报模型.