Dissecting Genetic Basis of Deep Rooting in Dongxiang Wild Rice

Deep rooting is an important trait in rice drought resistance. Genetic resources of deep-rooting varieties are valuable in breeding of water-saving and drought-resistant rice. In the present study, 234 BC₂F₇ backcross introgression lines were derived from a cross of Dongye 80 (an accession of Dongxiang wild rice as the donor parent) and R974 (an indica restorer line as the recurrent parent). A genetic linkage map containing 1 977 bin markers was constructed by ddRADSeq for QTL analysis. Thirty-one QTLs for four root traits (the number of deep roots, the number of shallow roots, the total number of deep roots and the ratio of deep roots) were assessed on six rice chromosomes in two environments (2020 Shanghai and 2021 Hainan). Two of the QTLs, qDR5.1 and qTR5.2, were located on chromosome 5 in a 70-kb interval. They were detected in both environments. qDR5.1 explained 13.35% of the phenotypic variance in 2020 Shanghai and 12.01% of the phenotypic variance in 2021 Hainan. qTR5.2 accounted for 10.88% and 10.93% of the phenotypic variance, respectively. One QTL (qRDR2.2) for the ratio of deep roots was detected on chromosome 2 in a 210-kb interval and accounted for 6.72% of the phenotypic variance in 2020. The positive effects of these three QTLs were all from Dongxiang wild rice. Furthermore, nine and four putative candidate genes were identified in qRDR2.2 and qDR5.1/qTR5.2, respectively. These findings added to our knowledge of the genetic control of root traits in rice. In addition, this study will facilitate the future isolation of candidate genes of the deep-rooting trait and the utilization of Dongxiang wild rice in the improvement of rice drought resistance.     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

尼罗罗非鱼出肉率与可量性状的相关性

运用统计分析方法研究了吉富品系和埃及品系尼罗罗非鱼(Oreochro misniloticus)2龄成鱼雌、雄个体的出肉率和可量性状之间的相关性。结果显示,尼罗罗非鱼的平均出肉率为38.68%,雄性个体出肉率比雌性个体略高,吉富品系出肉率比埃及品系略高。尼罗罗非鱼出肉率与可量性状间存在较强的线性关系,拟合方程相关系数为0.985。在有显著意义的可量性状相关系数中(P0.01),与肉片质量和出肉率的相关性均最高的可量性状为体质量,相关系数分别为0.964和0.575;其次为体高、体长和体厚。而头长与肉片质量、出肉率均呈负相关关系。雄性个体的相关系数均高于雌性个体,在雄性个体中,出肉率与体质量的相关系数为0.630,与体高的相关系数为0.617,均为中等程度相关。对可量性状之间的比值与出肉率进行相关性分析,相关系数普遍比单个性状高,特别在雄性个体中表现明显。其中相关系数较高的比例组合有身长/头长比值(0.765)、体长/头长比值(0.732)、身长/体厚比值(0.703),均达到较强程度的相关,比单个性状的相关性有明显提高。结果表明,利用可量性状预测罗非鱼的出肉率是可行的。     

不同供氮水平对西瓜产量和品质的影响

以京欣1号为材料,采用随机区组设计,以尿素为肥源,设计5个不同氮水平,探讨不同供氮水平对西瓜产量和品质的影响,结果表明:在氮适量的土壤上增施氮肥,能增加单株西瓜个数和单瓜质量,提高产量,对提高单个西瓜质量更为突出。在一定的范围内,西瓜产量随着氮肥用量的上升而增加,但当每公顷纯氮用量达到360 kg以后,西瓜产量开始呈下降趋势,继续增加用量,产量急剧下降;在纯氮用量0～240 kg/hm2时,对可溶性糖含量影响很小,而继续增加氮用量,即当纯氮用量为360～480 kg/hm2时,可溶性糖含量明显上升;施用氮肥不同程度提高了西瓜维生素C含量;在纯氮用量0～240 kg/hm2时,硝酸盐的含量逐渐增加,之后却有下降趋势。综合产量和品质,在本试验条件下,N4处理即纯氮用量360 kg/hm2为较合适的用量。     

大米蛋白酶水解条件及水解度对合成类蛋白的影响

观察了胰蛋白酶、碱性蛋白酶和胃蛋白酶水解米渣蛋白的条件及其水解度对合成类蛋白反应的影响。结果表明:胰蛋白酶、碱性蛋白酶和胃蛋白酶水解大米蛋白的最适温度分别为50℃、60℃和60℃,最适起始pH值分别为10.0、11.0和1.0,底物浓度分别为7%、5%和5%,E/S为1%、3%和7%,水解时间为4 h;该条件下,3种酶水解大米蛋白的水解度分别为54.0%、71.4%和57.3%,氮收率分别为56.3%、73.8%和58.1%;随着水解时间的延长,胰蛋白酶和胃蛋白酶水解产物中肽类组分变化小,而碱性蛋白酶水解产物中小分子的组分显著增加;大米蛋白水解产物的水解度对类蛋白反应的产率有显著影响,以胃蛋白酶为类蛋白合成酶时,大米蛋白的胰蛋白酶、碱性蛋白酶和胃蛋白酶水解产物的水解度分别在54.0%、71.4%和69.1%时,合成类蛋白的产率最高,分别为2.6%、17.5%和15.2%。     

湿地松幼苗根系微生物数量变化规律的研究

采用平板稀释法研究了湿地松幼苗1 a中微生物根系数量的变化规律,为合理的生物防治时期提供科学依据。结果表明:湿地松苗圃土壤中存在着大量的微生物。湿地松幼苗根系的生长和发展可以大大促进其周围微生物的生长,受湿地松根系生长和环境变化等因素的影响,在松苗移栽后的几个月内,根际细菌和真菌的种群数量迅速增加,细菌比真菌的种群增长速度要快。利用生物防治细菌进行苗木猝倒病防治的最佳时期应该是在芽苗移栽后1个月以内。     

浅析江西省农田生态系统生产力的稳定性

围绕江西省农田生态系统生产力的主导影响因子,分析和评价了复种指数、耕地资源、气候资源、水资源和施肥等因子对农田生态系统生产力(粮食产量)的影响及其应对的技术措施.     

籼稻Wx基因与稻米食用品质的相关性分析

以14个水稻品种及亲本为材料,通过检测各材料的Wx基因型,测定其直链淀粉含量(AC)、胶稠度(GC)和糊化温度(GT),对参试品种的Wx基因与AC、GC和GT的相关性进行了分析.结果表明,基因型为GG的品种具有较高的AC和较低的GC,而TT型品种具有中等的AC和较高的GC;AC与GC、GT呈极显著负相关,说明Wx除了控制稻米的AC之外,Wx与之紧密连锁的基因位点还可能影响GC的高低程度和GT的大小.对属于同一个恢复系的杂交组合的不育系和品种之间作偏相关性分析表明,优良品种的AC与不育系呈显著负相关,而品种的GC和GT与不育系之间的相关性却没有那么明显.     

氮肥减量配施生物炭对稻田有机碳矿化及酶活性影响

氮肥减量配施生物炭对于提升土地生产力、提高土壤碳汇能力以及缓解气候变暖具有重要意义。依托大田试验,设置5个氮肥用量梯度(T0～T4):100%化肥氮,90%化肥氮,80%化肥氮,70%化肥氮,60%化肥氮,采用等氮原则,氮肥减少量用等氮量生物炭替代,以不施肥为对照(CK),结合室内矿化培养,揭示稻田有机碳矿化及酶活性对氮肥减量配施生物炭的响应。结果表明:与T0处理相比,T3处理(70%化肥氮+7.5 t/hm~2生物炭氮)土壤全氮,碱解氮及速效磷依次显著提高了6.67%,8.36%及30.94%(P0.05),T4处理的速效钾含量最高,显著提高了23.78%(P0.05)。氮肥减量配施生物炭可有效提升土壤有机碳(SOC)含量,且随配施生物炭比例的增大而增大;与矿化前相比,各处理矿化后SOC,微生物量碳(MBC)及微生物熵(qMB)依次下降1.39～1.75 g/kg, 24.62～67.57 mg/kg及0.13%～0.32%(P0.05)。SOC矿化速率在培养的第1天达到峰值,第1阶段(第1～6天)迅速下降,第2阶段(第6～30天)缓慢下降,第3阶段(第30～45天)矿化速趋于平稳,矿化速率与培养时间呈对数函数关系(P0.01)。培养结束时SOC累积矿化量和累积矿化率的变化范围分别为1.39～1.75 g/kg和6.02%～8.43%,均以T3处理最低。与CK和T0处理相比,T3处理的过氧化氢酶、脲酶和蔗糖酶活性最高,T1处理的酸性磷酸酶活性最高。水稻产量以T3处理(7.37 t/hm~2)最高,比T0处理增产39.58%(P0.05)。综上,氮肥减量30%配施生物炭可明显提高土壤肥力,减少SOC矿化,增加土壤固碳,提高土壤酶活性及水稻产量。     

拔节-孕穗期淹涝胁迫对水稻生长的后效影响

为探究每年7-8月（拔节-孕穗期）洪涝淹没对水稻生长的后效影响,以Ⅱ优898为试验对象,在安徽新马桥农水试验站开展为期2 a的水稻淹涝胁迫试验。试验设置了具有不同淹水深度（半淹、3/4淹、全淹）和淹水持续时间（5、7、9 d）组合的9个试验组,以及正常控水的对照组。在淹水胁迫结束后,对后胁迫时期水稻的叶片光合特性、根系生长情况、植株干物质分配和相应产量进行了多次观测。结果表明,淹涝胁迫在一定程度上抑制了叶片气孔导度和光合速率,但在胁迫解除后会逐渐恢复甚至出现补偿现象,其恢复进程受前期淹涝程度影响。淹涝胁迫使水稻的干物质分配策略更倾向于叶和茎,并随着前期淹涝程度加重而愈发明显;在复水后第20天,半淹组的平均茎叶干物质分配系数相比于对照组增加了7.9%,而全淹组则增加了32.9%。水稻产量与其在后胁迫时期的茎叶干物质分配系数存在显著的相关关系,相关系数为0.875（P=0.023）;水稻产量随着茎叶干物质分配系数的增加、叶片气孔导度和光合速率的减小而减少。该研究针对拔节-孕穗期发生的淹涝胁迫,重点对后胁迫时期水稻的光合特性及干物质分配策略进行了分析,初步探讨了水稻涝害减产的潜在机理,为提出稻田涝后减灾管理措施提供了一定的理论依据。