农业分区框架下Hargreaves-Samani公式的逐月回归修正

为验证中国农业综合分区框架下Hargreaves-Samani(HS)公式线性回归修正方案的适用性,利用中国气象数据网发布的124个站点1957—2016年的逐月有效日平均气压、平均最低气温、平均最高气温、平均风速、平均水汽压、月总太阳辐射数据及站点经纬度数据,首先,分别基于Penman-Monteith(PM)公式和HS公式计算了各站点多年逐月的参考作物需水量ET_(0-PM)和ET_(0-HS)。然后,以ET_(0-PM)为真值,基于1957—2010年的逐月ET_(0-PM)和ET_(0-HS),利用线性回归分析方法获取了中国38个农业管理子区的HS公式校正系数a、b,并以2011—2016年为验证年份,通过比较ET_(0-HS)校正前后的相对误差变化,验证了HS公式线性回归校正方法在中国农业区的适用性,并结合验证年份的具体误差结果,确定了各农业区HS公式校正系数a、b的逐月最优取值。结果表明:大部分农业区的大部分月份ET_(0-PM)与ET_(0-HS)的相关系数超过0. 6,可以进行ET_(0-HS)的回归校正;回归校正得到的系数a存在显著的季节变化规律,系数b则表现较为平稳;系数a、b的大小及变化说明了ET_(0-PM)和ET_(0-HS)彼此之间存在差异,且季节性明显;校正前后的ET_(0-HS)均存在不同程度的相对误差,但校正后的ET_(0-HS)的误差范围已经显著缩小;在具体的验证应用中,校正后的ET_(0-HS)并不完全是最优结果,实践中系数a、b的优选使用才是最佳方案。本研究验证的HS公式线性回归校正方法是实践中简便、可行的方案,对大尺度区域快速获得较高精度的参考作物需水量具有实际意义和推广价值。     

Stability comparison of three candidate internal reference genes in Chinese giant salamander (Andrias davidianus)

The Chinese giant salamander (Andrias davidianus) as food and medicinal product has been an important aquaculture object in China. Study of gene function in the Chinese giant salamander requires accurate normalization though the use of appropriate reference genes. In this study, the expression levels of three candidate reference genes including β‐actin, GAPDH and cytb of different tissues, different developmental stages and different challenges in Chinese giant salamander were evaluated by qPCR. The stabilities of these three reference genes were analysed by geNorm, NormFinder and BestKeeper software. The results showed that the expression of GAPDH was more stable than that of β‐actin and cytb in four tissues and at two developmental stages of Chinese giant salamander. Compared with GAPDH and cytb, β‐actin was the most stable in spleen of Chinese giant salamander treated with LPS or GSIV. Therefore, the result showed that GAPDH was the suitable reference gene in different tissues and at different developmental stages of Chinese giant salamander. The β‐actin could be used as a reference gene in spleen of Chinese giant salamander challenged with LPS and GSIV. This study provides convincing information for the GAPDH and β‐actin as suitable reference gene in Chinese giant salamander of different tissues, different developmental stages and different challenges respectively.     

甜樱桃花芽不同发育时期内参基因的筛选与验证

为了筛选甜樱桃花芽不同发育时期均稳定表达的内参基因,以甜樱桃桑提娜和黔樱一号不同发育时期花芽为材料,通过qRT-PCR技术检测28S rRNA、EF1-a1、EF1-a2、UBC、RPL13、18S rRNA、RSP3、CYP40、ACT2和α-TUB3等10个常用看家基因的表达水平,并利用GeNorm、NormFinder和BestKeeper综合评价其表达稳定性。结果表明,EF-1a2和RSP3在所有样品中稳定性最好。分别以EF-1a2、RSP3及EF-1a2+RSP3作为内参基因检测不同发育时期花芽生长素运输载体AUX1基因及生长素响应因子ARF基因的表达模式,该2个基因在不同内参基因标定下表达模式相同。表明EF-1a2、RSP3及EF-1a2+RSP3可作为甜樱桃花芽不同发育时期的内参基因。     

玉米粉中伏马毒素FB1基体标准物质的评价

为填补我国在伏马毒素基体标准物质的空白,本试验研制了以玉米粉为基体的伏马毒素FB1标准物质,玉米样品经过筛、加标、冷冻干燥、磨粉、混匀、密封分装后,用超高效液相色谱-串联质谱(UPLC-MS/MS)法检验样品的均匀性、稳定性,幵联合多家实验室对玉米粉中伏马毒素FB1含量定值,同时分析样品的不确定度。样品均匀性经斱差分析法表明F值为1.42,小于临界值F_(0.05),且伏马毒素FB1含量在觃定时间6个月内无明显变化。结果表明,均匀性与稳定性均符合标准物质的要求。样品定值为1475.56μg kg~(–1),不确定度为169.98μg kg~(–1)。该标准物质可替代进口标准物质,用于伏马毒素检测过程中的仪器校准、实验室质量控制和操作人员的水平考核等。     

四川冬春季参考作物蒸散量时空变化及其成因

为深入认识四川冬春季参考作物蒸散量(ET₀)的变化特征,利用1980—2016年四川35个气象站的逐日气象观测资料,采用泰森多边形、气候倾向率和克里金空间插值等方法对其冬春季ET₀的时空变化特征进行分析,并通过敏感性和贡献率分析了ET₀的变化成因。结果表明:ET₀的年代际变化呈先降后增的趋势,空间上呈明显的西南高东部低的分布特征,且高值区范围持续扩大,低值区范围波动缩小。ET₀的年际变化呈上升趋势,春季ET₀气候倾向率和空间差异明显大于冬季,且ET₀高值区与低值区空间分布受海拔高度影响明显。ET₀的同一日多年平均值自初冬至初春逐渐上升,1月22日—5月2日仅有8 d的ET₀值低于多年日平均值,具有明显连续的高值时段。ET₀对日照时数的变化最敏感,其次是对相对湿度与平均气温,对三者均呈高敏感性。平均气温的正贡献率是引起ET₀变化的主导因子,其次是相对湿度。研究时段内平均气温的升高对ET₀的正效应和相对湿度的降低对ET₀的负效应,超过了日照时数减少对ET₀的减少效应,导致四川地区冬春季ET₀呈上升趋势。     

基于公共天气预报的三江平原ET0预报模型比较及敏感性分析

为了提出适合我国三江平原的高精度ET0预报方法,基于该区6个气象站点的天气预报数据和实测气象数据,以FAO56-Penman-Monteith(FAO56-PM)公式计算值为基准,比较Hargreaves-Samani(HS)、Thornthwaite(TH)和Blaney-Criddle(BC)3个ET₀预报模型的效果,对最优模型进行敏感性分析。结果表明:3个模型1~7 d预见期平均绝对误差均值分别为0.66、0.65、0.65 mm/d,均方根误差分别为0.93、0.96、0.95 mm/d,相关系数分别为0.857、0.828、0.840。1~5 d预见期最优预报模型为HS模型,6~7 d为TH模型。总体上预报精度由高到低为HS、TH、BC模型,建议采用HS模型在三江平原开展ET₀预报,HS模型预报对最高温预报的敏感性大于最低温。其预报值在夏季受温度预报误差影响最大,冬季最小,4季整体误差较小。研究可为灌溉预报提供较准确的数据基础。     

Development and testing of a Bayesian population model for the bigeye thresher shark,Alopias superciliosus,in an area subset of the western North Pacific

A Bayesian population modelling tool integrating separable virtual population analysis, per‐recruit models and age‐structured demographic analysis was developed for the bigeye thresher Alopias superciliosus (Lowe) population in an area subset of the western North Pacific. The mortality rates for years 1989–2016 were estimated, various biological reference points and associated risks of decline were also estimated, and alternative harvest strategies for the stock were evaluated. Estimates of the posterior mean of fishing mortality for bigeye thresher shark suggest fishing pressure has been high in recent years (2011–2016). The estimated population growth rate (λ) (without fishing) obtained from age‐structured demographic model was relatively low (λ = 1.01 per year; 95% confidence intervals of 1.00 and 1.03 per year). Risk analyses revealed that only low levels of fishing pressure (10% of the current fishing pressure) over a wide range of ages could maintain a relatively low risk of population decline for bigeye threshers. Sensitivity testing indicated that the model is robust to prior specification. The developed framework could be used as an assessment tool to evaluate the risk of decline for other widely distributed pelagic shark species where insufficient catch and effort data are available.