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1.
Yuanfa He Shuyan Chi Beiping Tan Xiaohui Dong Qihui Yang Hongyu Liu Shuang Zhang 《Journal of the World Aquaculture Society》2021,52(1):171-183
A 4‐week feeding trial was conducted using five groups of hybrid grouper (61.15 ± 0.15 g) to explore the potential effects of three methionine (Met) sources. Five isonitrogenous and isolipidic diets were formulated that included a fishmeal (FM) diet; nonsupplemented (NS) diet; or NS diets with the addition of the L‐methionine (L‐Met), DL‐methionine (DL‐Met), or coated Met (Co‐Met) to obtain the same Met level as the FM diet. Fish were randomly distributed into sea cages (30 fish per cage). Weight gain and specific growth rate in the DL‐Met group and FM group were significantly higher than those in all other groups (p < .05). In the proximal and distal intestines, of the 20 gene and time combinations (10 per gene), there were 14 combinations (70%) in which there were no significant differences in gene expression levels between the FM and DL‐Met groups (p > .05). The main reason for the same growth effect between the DL‐Met and FM groups may be attributed to the synchronized absorption at most time points after feeding, which had similar expression patterns of B0AT1 and ASCT2 of the proximal and distal intestines between two groups. 相似文献
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Jian-zhai WU Jing ZHANG Zhang-ming GE Li-wei XING Shu-qing HAN Chen SHEN Fan-tao KONG 《农业科学学报》2021,20(1):289-299
Climate change severely impacts agricultural production, which jeopardizes food security. China is the second largest maize producer in the world and also the largest consumer of maize. Analyzing the impact of climate change on maize yields can provide effective guidance to national and international economics and politics. Panel models are unable to determine the group-wise heteroscedasticity, cross-sectional correlation and autocorrelation of datasets, therefore we adopted the feasible generalized least square(FGLS) model to evaluate the impact of climate change on maize yields in China from 1979–2016 and got the following results:(1) During the 1979–2016 period, increases in temperature negatively impacted the maize yield of China. For every 1°C increase in temperature, the maize yield was reduced by 5.19 kg 667 m–2(1.7%). Precipitation increased only marginally during this time, and therefore its impact on the maize yield was negligible. For every 1 mm increase in precipitation, the maize yield increased by an insignificant amount of 0.043 kg 667 m–2(0.014%).(2) The impacts of climate change on maize yield differ spatially, with more significant impacts experienced in southern China. In this region, a 1°C increase in temperature resulted in a 7.49 kg 667 m–2 decrease in the maize yield, while the impact of temperature on the maize yield in northern China was insignificant. For every 1 mm increase in precipitation, the maize yield increased by 0.013 kg 667 m–2 in southern China and 0.066 kg 667 m–2 in northern China.(3) The resilience of the maize crop to climate change is strong. The marginal effect of temperature in both southern and northern China during the 1990–2016 period was smaller than that for the 1979–2016 period. 相似文献
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蛋白质的翻译后异戊烯化修饰(CAAX修饰)能够介导真核生物中许多重要蛋白质的亚细胞定位以及蛋白与蛋白间的相互作用。稻瘟病菌(Magnaporthe oryzae)引致的稻瘟病是水稻最重要病害之一,造成全球水稻严重减产。为深入了解稻瘟病菌致病机理,更好地防控稻瘟病,我们研究了异戊烯修饰是否影响稻瘟病菌的生长发育和致病性。首先从稻瘟病菌基因组数据库中鉴定到一个稻瘟病菌的异戊烯蛋白酶MoRce1,同源比对发现MoRce1保守结构域在各物种之间变化较大,猜测在不同物种中该蛋白可能出现了功能分化。经同源重组方法敲除MoRCE1基因,发现MoRCE1缺失突变体在胁迫培养条件下细胞壁完整性明显缺陷,但是对营养生长、产孢、萌发以及致病性没有明显影响,说明MoRce1蛋白可能通过参与稻瘟病菌细胞壁合成相关蛋白的异戊烯化修饰进而影响该菌细胞壁的完整性,其具体机制还有待深入研究。 相似文献
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【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。 相似文献
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