Intensive organic vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated management

Intensive vegetable production in greenhouses has rapidly expanded in China since the 1990s and increased to 1.3 million ha of farmland by 2016, which is the highest in the world. We conducted an 11‐year greenhouse vegetable production experiment from 2002 to 2013 to observe soil organic carbon (SOC) dynamics under three management systems, i.e., conventional (CON), integrated (ING), and intensive organic (ORG) farming. Soil samples (0–20 and 20–40 cm depth) were collected in 2002 and 2013 and separated into four particle‐size fractions, i.e., coarse sand (> 250 µm), fine sand (250–53 µm), silt (53–2 µm), and clay (< 2 µm). The SOC contents and δ¹³C values of the whole soil and the four particle‐size fractions were analyzed. After 11 years of vegetable farming, ORG and ING significantly increased SOC stocks (0–20 cm) by 4008 ± 36.6 and 2880 ± 365 kg C ha^?1 y^?1, respectively, 8.1‐ and 5.8‐times that of CON (494 ± 42.6 kg C ha^?1 y^?1). The SOC stock increase in ORG at 20–40 cm depth was 245 ± 66.4 kg C ha^?1 y^?1, significantly higher than in ING (66 ± 13.4 kg C ha^?1 y^?1) and CON (109 ± 44.8 kg C ha^?1 y^?1). Analyses of ¹³C revealed a significant increase in newly produced SOC in both soil layers in ORG. However, the carbon conversion efficiency (CE: increased organic carbon in soil divided by organic carbon input) was lower in ORG (14.4%–21.7%) than in ING (18.2%–27.4%). Among the four particle‐sizes in the 0–20 cm layer, the silt fraction exhibited the largest proportion of increase in SOC content (57.8% and 55.4% of the SOC increase in ORG and ING, respectively). A similar trend was detected in the 20–40 cm soil layer. Over all, intensive organic (ORG) vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated (ING) management.     

Improving wood volume predictions in dry tropical forest in the semi-arid Brazil

The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R2 adj), which are poorer than the second best model (Schumacher-Hall). Regarding the minimum sample size, errors in estimation (root mean square error (RMSE) and bias) of the best model decrease as the sample size increases, especially when a larger number of trees with DBH≥15.0 cm are randomly sampled. Stratified sampling by diameter class produces smaller volume prediction errors than random sampling, especially when considering all trees. In summary, the Spurr and Schumacher-Hall models perform better. These models suggest that the total variance explained in the estimates is not less than 95%, producing reliable forecasts of the total volume with shell. Our estimates indicate that the bias around the average is not greater than 7%. Our results support the decision to use regression methods to build models and estimate their parameters, seeking stratification strategies in diameter classes for the sample trees. Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest. Stratified sampling of the data set for model adjustment and selection is necessary, since we find significant results with mean error square root values and bias of up to 70% of the total database.     

川西高山树线交错带海拔梯度上土壤有机碳稳定性特征

高山树线交错带是高海拔地带对环境变化最为敏感的生态系统之一，土壤有机碳库及其稳定性在生态系统变化中具有显著指示作用。通过物理-化学方法对土壤不同活性有机碳进行连续分级分离，研究土壤有机碳不同组分在海拔环境梯度下分布特征及稳定性。结果表明，高山树线交错带土壤有机碳主要集中在物理分级组分（≥0.02 mm），且粒径越大有机碳含量越高，即主要以颗粒态有机碳形式存在，占比均高于98%；在<0.02 mm有机-无机复合体中有机碳采用化学分级分离，这部分有机碳占比低于土壤总有机碳2%，且主要以腐殖质（胡敏素）形式存在（占土壤总有机碳0.6%~0.8%），腐殖质占有机碳比例远低于一般土壤；随着海拔升高，土壤有机碳总量上升，颗粒态有机碳（物理分级组分）比例升高，胡敏素类腐殖质比例下降。因此，川西高海拔树线交错带的高寒土壤有机碳，主要以不稳定有机碳（POC）形式存在，随着温度上升（海拔降低）将导致土壤矿质化和腐殖化加剧，有机碳总量下降，土壤不稳定性组分（物理分级组分）降低，土壤稳定性（腐殖化比例）上升。     

典型乌龙茶产区氮素平衡状况及减排潜力研究

为探讨典型乌龙茶产区氮素平衡状况及温室气体减排潜力，基于2015-2017年在福建省安溪县和武夷山市茶园开展的355户农户调研数据和207个土壤数据，采用Boundary line方法，分析了典型乌龙茶产区的氮肥施用特征、氮素平衡状况以及温室气体减排潜力。结果表明：安溪县茶园平均氮肥投入量509.4 kg·hm^-2，主要来源于复合肥和尿素，全年氮盈余量479.1 kg·hm^-2；武夷山市茶园平均氮肥投入量218.1 kg·hm^-2，主要来源于复合肥，全年氮盈余量189.8 kg·hm^-2；氮素投入与氮养分盈余量之间具有极显著的正相关关系；随着氮素盈余量的增加，土壤全氮含量也随之增加，并且安溪茶园的土壤全氮含量比武夷山茶园更高；基于Boundary line方法，安溪县和武夷山市茶园的氮肥优化用量分别为411.3 kg·hm^-2和157.7 kg·hm^-2；通过优化氮肥投入和管理水平可分别实现安溪县和武夷山市茶园温室气体减排62.0%和68.0%。在安溪县和武夷山市乌龙茶产区中，氮肥施用严重过量，导致氮素盈余量和温室气体排放量较高，应通过优化氮肥用量达到减少氮素过量盈余和降低茶园温室气体排放的目的。     

基于流式细胞术的桫椤基因组大小测定

以买麻藤(Gnetum montanum)为内参,测定5种常用裂解液(Tris·MgCl_2、LB01、WPB、Otto’s、Galbraith’s)对桫椤(Alsophila spinulosa)细胞核的裂解效果,并通过比较桫椤和买麻藤流式细胞仪测定的荧光峰值,计算出桫椤的基因组大小。结果表明:5种裂解液中,WPB为桫椤最佳裂解液;桫椤基因组大小为6 003.25Mb,即2C DNA含量为6.138 pg。     

绵羊Izumo1基因多态性及其与产羔数关联分析

为研究Izumo1基因多态性及与产羔数关系,本研究利用PCR和直接测序法对小尾寒羊和苏尼特羊的Izumo1基因DNA序列进行扩增、测序和BLAST分析,并和本课题组前期绵羊重测序数据进行比对,筛选出Izumo1基因SNP位点。同时,采用Sequenom MassARRAY~?技术进行基因分型,并对其SNP位点的基因型和等位基因频率在各群体中的分布进行研究。结果表明:小尾寒羊Izumo1基因DNA全长序列3 385 bp,苏尼特羊Izumo1基因DNA全长序列3 382 bp;筛选出8个Izumo1基因SNP位点,经过初步筛选,将在小尾寒羊、苏尼特羊、滩羊、萨福克羊、杜泊羊、草原藏羊这6个绵羊品种中位点分布没有差异的SNP位点排除,最终筛选获得的g.54412135AG和g.54412107CA 2个位点。Izumo1基因g.54412135AG位点在多羔和单羔绵羊品种中存在GG、GA和AA 3种基因型,G基因为优势等位基因;g.54412107CA在多羔品种中存在CC和CA 2种基因型,而在单羔品种中存在CC、CA和AA 3种基因型,C基因为优势等位基因,其基因型频率和基因频率在单、多羔绵羊群体间的分布差异均极显著(P0.01);群体遗传学分析得出g.54412135AG多态位点在6个品种中的多态信息含量(PIC)都属于低度多态(PIC0.25);g.54412107CA多态位点在杜泊羊中属于中度多态(0.25PIC0.5),在其他5个品种中都属于低度多态(PIC0.25),然而,关联分析发现Izumo1基因g.54412135AG和g.54412107CA位点的不同基因型与小尾寒羊不同胎次产羔数之间不存在显著关联(P0.05)。     

华北薏苡新品种‘太空I号’产量构成及最佳施肥配方的研究

为解析适宜华北种植的薏苡优良品种的产量构成,以薏苡早熟高产新品种‘太空I号’为研究对象,通过分蘖数、穗着粒数等主要农艺性状与产量的相关性分析、通径分析和主成分分析及‘太空I号’最佳施肥配方,解析薏苡高产构成。结果表明:1)相关分析显示,株高、总节数、单株穗数和分蘖数与薏苡高产最相关;2)通径分析显示,单株穗数、分蘖数和穗着粒数对薏苡高产的贡献最高;3)主成分分析显示,‘太空I号’的高产构成主要由单株穗数多、分蘖数多、穗着粒数和百粒重适中组成;4)最适于‘太空I号’的施肥配方为氮肥15kg/667 m~2、磷肥50kg/667m~2和钾肥20kg/667m~2,在北京地区的单产可达280kg/667m~2以上。综上所述,‘太空I号’单株穗数多、分蘖数多、穗着粒数和百粒重适中、早熟高产,是适合中国华北种植的优良薏苡品种。     

Three SNPs within exons of INHA and ACVR2B genes are significantly associated with litter size in Dazu black goats

The aim of this study was to analyse the association between single-nucleotide polymorphisms within INHA and ACVR2B and litter size in Dazu black goats. In total, twenty-two SNPs were genotyped in 190 individuals by SNaPshot and resequencing. The results showed that three SNPs (SNP_1, SNP_12 and SNP_13 in this study) were detected to have significant additive genetic effect on the recorded goat litter size (p < .05). The SNP_1 (NC_030809.1), a non-synonymous substitution of G for T at chr2-g. 28314990 in the exon 2 of INHA gene (NM_001285606.1), resulted in homozygote 2 (HOM2) contributed 0.25 and heterozygote (HET) contributed 0.12 larger litter than homozygote 1 (HOM1). Meanwhile, SNP_12 (Chr22-g. 11721225 A > T) and SNP_13 (Chr22-g. 11721227 A > C) (NC_030829.1) simultaneously mutated at the first and third position of a triplet AAA (lysine, K) in the exon 4 of ACVR2B gene (XM_018066623.1) had estimated genetic effects of HOM1 (0.00) and HOM2 (0.03) larger than HET (−0.12). In conclusion, one SNPs (chr2-g. 28314990 T > G) within the exon 2 of INHA and two SNPs (Chr22-g. 11721225 A > T and Chr22-g. 11721227 A > C) i n the exon 4 of ACVR2B gene were highly recommended as candidate markers of litter size in Dazu black goats. A large-scale association study to assess the impact of these variants on litter size is still necessary.