Projecting future habitat quality of three midwestern reservoir fishes under warming conditions

Rising temperatures caused by climate change are likely to affect cool‐water and warm‐water fishes differently. Yet, forecasts of anticipated temperature effects on fishes of different thermal guilds are lacking, especially in freshwater ecosystems. Towards this end, we used spatially explicit, growth rate potential (GRP) models to project changes in seasonal habitat quality for a warm‐water piscivore (largemouth bass Micropterus salmoides), a cool‐water piscivore (walleye Sander vitreus) and a hybrid piscivore (saugeye S. vitreus × S. canadensis) in two Midwestern reservoirs. We assessed habitat quality for two periods (early and middle 21st century) under two realistic greenhouse gas emission scenarios (a mid‐century emissions peak and a rapid continuous increase in emissions). Largemouth bass were projected to experience enhanced or slightly reduced habitat during all seasons, and throughout the mid‐21st century. By contrast, walleye habitat was projected to decline with anticipated warming, except during the spring in the smaller of our two study reservoirs and during the fall in the larger of our two study reservoirs. Saugeye habitat was projected to either increase modestly or decline slightly during the spring and fall and declines in habitat quality and quantity that were smaller than those for walleye were identified during summer. Collectively, our findings indicate that climate warming will differentially alter habitat suitability for reservoir piscivores, favouring warm‐water species over cool‐water species. We expect these changes in habitat quality to impact the dynamics of reservoir fish populations to varying degrees necessitating the consideration of climate when making future management decisions.     

基于BP神经网络的柴油发动机特性建模

建立连续的发动机燃油特性和调速特性数学模型作为液压机械无级变速器虚拟试验平台的动力源。根据虚拟平台对不同特性区域的精度需求对柴油发动机不同特性区域的试验数据进行不同的密度选取、乱序和归一化处理,采用单隐层BP神经网络对试验数据进行训练,对比不同隐层节点数网络的训练误差和测试误差,选取误差最小的网络,求解出网络的数学表达式。通过该方法以ISLe310柴油发动机为例建立燃油特性和调速特性的连续数学模型,这两个简单的数学表达式准确反映了发动机万有特性和外特性,连续模型避免了虚拟试验中出现信号的突变和奇异点。通过和经典的最小二乘法拟合得到的最优特性模型进行对比,其具有更小的误差、更强的泛化能力,能够更好地反映柴油发动机的相关特性。     

油料作物油脂合成调控研究进展

植物油脂不仅是人类可食用油的主要来源,也是人类生产生活中重要的可再生原料。本文概述了植物油脂的生物合成途径,从母体效应、QTL、GWAS等多个方面总结了油料作物油脂合成的遗传学研究进展,同时探讨了已知的油脂合成调控相关基因的功能。本文综述了该领域的研究现状,为深入了解油料作物油脂合成调控网络提供了参考,也为油料作物的分子改良和遗传育种提供了理论基础。     

水肥调控对滴灌马铃薯生长、品质及水肥利用的影响

研究生育期土壤水分下限调控和施肥对陕北榆林地区滴灌马铃薯生长、品质和水肥利用的影响,以期探寻马铃薯优质高产的水肥调控模式。以马铃薯紫花白为材料,分别在苗期、块茎形成期、块茎膨大期、淀粉积累期、成熟期设置3个土壤水分调控下限水平:W1(55%、60%、65%、55%、55%)、W2(65%、70%、75%、65%、65%)、W3(75%、80%、85%、75%、75%),4个施肥水平N-P_2O_5-K_2O (kg·hm~(-2))分别为F1(100-40-150 kg·hm~(-2))、F2(150-60-225 kg·hm~(-2))、F3(200-80-300 kg·hm~(-2))、F4(250-100-375 kg·hm~(-2)),共12个处理,在生育期内对马铃薯生长、产量及品质等指标进行观测,分析马铃薯各指标对水肥的响应机制。结果表明:(1)在同一施肥水平下,W2灌水处理的马铃薯生长、产量、品质、水肥利用效率(WUE)均显著高于W1和W3处理。W2处理的平均产量为43 187.15 kg·hm~(-2),比W1和W3分别增加了24.59%和5.26%,淀粉和维生素C含量分别增加了15.32%和6.37%,8.04%和4.66%,WUE分别增加了15.53%和7.54%,肥料偏生产力(PFP)分别增加了21.65%和4.41%。(2)在同一灌水水平下,F3施肥处理的马铃薯生长、产量、WUE均显著高于F1、F2和F4处理,淀粉含量和维生素C含量在F2处理最高。F3处理的平均产量为44 691.32 kg·hm~(-2),比F1、F2和F4处理分别增加了41.79%、10.98%和6.34%。WUE随施肥量的增加均呈抛物线变化趋势,PFP随施肥量增加呈减小趋势,F1处理的PFP平均为108.69 kg·kg~(-1),比F2、F3和F4处理分别显著增加了17.41%、41.06%和87.50%。(3)运用主成分分析法评价马铃薯品质表明,F3W2处理排名第一,是榆林地区马铃薯优质高产的最优水肥组合。     

烯效唑浸种对干旱胁迫下工业大麻幼苗形态、渗透调节物质及内源激素的影响

选用0.4 mg·L~(-1)的烯效唑(S_(3307))浸种工业大麻"火麻一号"种子,采用盆栽试验方法,于大麻三叶期设置清水浸种后正常供水(CK)、清水浸种后干旱胁迫(D)和烯效唑浸种后干旱胁迫(D+S)3个处理,探讨烯效唑浸种对干旱胁迫下工业大麻幼苗形态、渗透调节物质及内源激素的影响。结果表明:与D处理的植株相比,D+S处理显著提高了根系干、鲜重,分别提高46.67%～61.54%和16.46%～25.53%;恢复了胁迫后期的地上部干、鲜重,复水4 d后地上部干、鲜重较D处理分别提高了4.38%和2.23%;促进了根系生长的能力,干旱胁迫8 d后,D+S处理较D处理根长、根表面积、根体积、根总投影面积、分枝数、交叉数和根尖数分别增加了34.48%、34.77%、69.10%、70.00%、29.62%、54.28%和33.07%;提高了幼苗叶片SPAD值,降低了细胞膜透性,增加了可溶性糖和可溶性蛋白含量,干旱胁迫8 d后D+S处理较D处理SPAD值增加了28.30%,细胞膜透性减少了17.22%,可溶性糖和可溶性蛋白含量分别增加了17.32%～36.78%和5.07%～7.94%。干旱胁迫8 d后,D+S处理使工业大麻叶片中脱落酸(ABA)含量增加了1.02倍,水杨酸(SA)和茉莉酸(JA)含量分别降低了17.79%和14.40%。可见,烯效唑浸种能通过调控工业大麻幼苗生长及生理指标来增强其抗旱能力,缓解干旱胁迫对幼苗造成的伤害。     

人参皂苷和多糖对肺肠功能影响研究进展

消化和呼吸功能是畜牧养殖过程中面临的两大问题,其会严重影响畜牧业经济效益。作为人参主要功能性成分,人参总皂苷和人参多糖在肺肠功能调节方面具有较好效果。本文总结了近年来人参总皂苷和人参多糖对肺肠功能调节的研究情况,以期为其在畜牧生产应用方面提供参考。     

Aux/IAA基因家族鉴定及对大豆茎尖发育的调控作用分析

Aux/IAA 基因家族在植物茎尖发育过程发挥重要作用。为了探究大豆Aux/IAA 基因家族在大豆茎尖发育过程的调控作用，本文以拟南芥Aux/IAA 基因家族蛋白序列为参照鉴定了大豆全基因组Aux/IAA 家族基因，包括63个成员；然后以拟南芥、鹰嘴豆和大豆的Aux/IAA 家族为研究对象，比对这些基因全长氨基酸序列并构建进化树，结果表明三种作物的Aux/IAA 家族成员间亲缘关系差异明显，进化过程中同源重组频率不同；进而利用RNA-seq技术分析东农594（DN）、Charleston（CH）及二者杂交后代的RIL群体的高矮秆池（WH、WS）和F2群体的高矮秆池（JH、JS）的差异表达基因及其功能，共有17个Aux/IAA 基因在3组材料中差异表达。CHvsDN组有15个差异表达基因，JHvsJS组有2个，WHvsWS组只有1个；其中，Glyma.10G180100 在JHvsJS组和WHvsWS组均差异表达，这些结果为进一步研究大豆Aux/IAA 基因家族的功能及调控茎尖发育提供理论依据。     

Impact of climate change on maize yield in China from 1979 to 2016

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.