Two consensus quantitative trait loci clusters controlling anthesis–silking interval, ear setting and grain yield might be related with drought tolerance in maize

Unravelling the molecular basis of drought tolerance will provide novel opportunities for improving crop yield under water-limited conditions. The present study was conducted to identify quantitative trait loci (QTLs) controlling anthesis–silking interval (ASI), ear setting percentage (ESP) and grain yield (GY). The mapping population included 234 F₂ plants derived from the cross X178 (drought tolerant) × B73 (drought susceptible). The corresponding F_2:3 progenies, along with their parents, were evaluated for the above-mentioned traits under both well-watered and water-stressed field conditions in three different trials carried out in central and southern China. Interval mapping and composite interval mapping identified 45 and 65 QTLs for the investigated traits, respectively. Two QTL clusters influencing ASI and ESP on chromosomes 1 (bin 1.03) and 9 (bins 9.03–9.05) were identified in more than two environments, showing sizeable additive effects and contribution to phenotypic variance; these two QTL clusters influenced GY only in one environment. No significant interaction was detected between the two genomic regions. A comparative analysis of these two QTL clusters with the QTLs controlling maize drought tolerance previously described in three mapping populations confirmed and extended their relevance for marker-assisted breeding to improve maize production under water-limited conditions.     

Phenotypic plasticity of the maize root system in response to heterogeneous nitrogen availability

Mineral nutrients are distributed in a non-uniform manner in the soil. Plasticity in root responses to the availability of mineral nutrients is believed to be important for optimizing nutrient acquisition. The response of root architecture to heterogeneous nutrient availability has been documented in various plant species, and the molecular mechanisms coordinating these responses have been investigated particularly in Arabidopsis, a model dicotyledonous plant. Recently, progress has been made in describing the phenotypic plasticity of root architecture in maize, a monocotyledonous crop. This article reviews aspects of phenotypic plasticity of maize root system architecture, with special emphasis on describing (1) the development of its complex root system; (2) phenotypic responses in root system architecture to heterogeneous N availability; (3) the importance of phenotypic plasticity for N acquisition; (4) different regulation of root growth and nutrients uptake by shoot; and (5) root traits in maize breeding. This knowledge will inform breeding strategies for root traits enabling more efficient acquisition of soil resources and synchronizing crop growth demand, root resource acquisition and fertilizer application during crop growing season, thereby maximizing crop yields and nutrient-use efficiency and minimizing environmental pollution.     

一个来自硬粒小麦的抗白粉病基因的鉴定和微卫星标记

在起源于硬粒小麦(Triticum durum Desf.accession DR147)和尾状山羊草(Aegilops caudata L.acc.Ae14)合成的双二倍体与普通小麦品种"莱州953"杂交组合衍生的BC3F2群体中鉴定了一个抗小麦白粉病基因.遗传分析表明,该基因为一个显性单基因.应用分离群体分组法(BSA),鉴定了两个与抗病基因紧密连锁的微卫星标记Xgwm311和Xgwm382,它们与抗病基因的遗传距离分别为5.9 cM和4.9 cM.对双二倍体亲本硬粒小麦DR147和尾状山羊草Ae14及轮回亲本"莱州953"的DNA PCR扩增结果表明,与抗病基因相关的微卫星标记Xgwm311和Xgwm382来源于硬粒小麦DR147.根据已发表的小麦微卫星图谱和对"中国春"缺-四体系DNA扩增结果,抗病基因被定位在小麦2A染色体的长臂末端.     

Diversity characterization and association analysis of agronomic traits in a Chinese peanut （Arachis hypogaea L.） mini-core collection

Association mapping is a powerful approach for exploring the molecular basis of phenotypic variations in plants. A peanut （Arachis hypogaea L.） mini-core collection in China comprising 298 accessions was genotyped using lo9 simple sequence repeat （SSR） markers, which identified 554 SSR alleles and phenotyped for 15 agronomic traits in three different environments, exhibiting abundant genetic and phenotypic diversity within the panel. A model-based structure analysis assigned all accessions to three groups. Most of the accessions had the relative kinship of less than o.05, indicating that there were no or weak relationships between accessions of the mini- core collection. For 15 agronomic traits in the peanut panel, generally the Q ＋ K model exhibited the best performance to eliminate the false associated positives compared to the Q model and the general linear model-simple model. In total, 89 SSR alleles were identified to be associated with 15 agronomic traits of three environments by the Q＋K model-based association analysis. Of these, eight alleles were repeatedly detected in two or three environments, and 15 alleles were commonly detected to be associated with multiple agronomic traits. Simple sequence repeat allelic effects confirmed significant differences between different genotypes of these repeatedly detected markers. Our results demonstrate the great potential of integrating the association analysis and marker-assisted breeding by utilizing the peanut mini-core collection.     

Mapping QTLs for root traits under different nitrate levels at the seedling stage in maize (Zea mays L.)

Nitrogen (N) loss is a worldwide problem in crop production. Apart from reasonable N fertilizer application, breeding N efficient cultivars provides an alternative way. Root architecture is an important factor determining N acquisition. However, little is known about the molecular genetic basis for root growth in relation to N supply. In the present study, an F₈ maize (Zea may L.) recombinant inbred (RI) population consisting of 94 lines was used to identify the QTLs for root traits under different nitrate levels. The lateral root length (LRL), axial root length (ARL), maximal axial root length (MARL), axial root number (ARN) and average axial root length (AARL) were evaluated under low N (LN) and high N (HN) conditions in a hydroponics system. A total of 17 QTLs were detected among which 14 loci are located on the same chromosome region as published QTLs for root traits. A major QTL on chromosome 1 (between bnlg1025 and umc2029) for the AARL under LN could explain 43.7% of the phenotypic variation. This QTL co-localizes with previously reported QTLs that associate with root traits, grain yield, and N uptake. Our results indicate that longer axial roots are important for efficient N acquisition and the major QTL for AARL may be used as a marker in breeding N efficient maize genotypes.     

长期不同施肥对玉米根茬生物量及养分累积量的影响

以黄土高原南部两个长期定位试验（分别开始于1990和2003年）为研究对象,探讨了不同肥料处理对玉米根茬生物产量和养分累积的影响.于2011年10月玉米收获后采集0～20 cm土层不同施肥处理玉米根茬.结果表明：与不施肥及偏施N、NK、PK化肥相比,氮磷配施（NP）、氮磷钾平衡施肥（NPK）、有机无机配施（M₁NPK、M₂NPK）及化肥配合秸秆（SNPK）处理均显著提高了玉米根茬干质量.根茬固碳量及氮、磷、钾养分累积量在NP、NPK、M₁NPK、M₂NPK、SNPK处理显著高于不施肥和偏施N、NK、PK化肥处理,其中以有机无机配施处理效果最好.与不施氮肥（N₀）相比,施氮120 kg N·hm^-2（N₁₂₀）和240 kg N·hm^-2（N₂₄₀）处理根茬干质量分别提高38%和45%,高量氮肥对根茬增量效果不显著.施用氮肥也显著提高了根茬碳、氮、磷、钾累积量.根茬可溶性有机碳、可溶性总氮含量在NP、NPK、M₁NPK、M₂NPK、SNPK及N₁₂₀和N240处理中较高.氮磷钾平衡施肥、有机无机配施以及秸秆还田处理降低了根茬的纤维素、木质素含量.根茬C/N、木质素/N在CK、PK、N₀处理间显著高于其他施肥处理.因此,氮磷配施、氮磷钾平衡施肥、有机无机配施及秸秆还田处理能够促进玉米根生长,提高营养成分含量,有利于土壤培肥和固碳.     

Mapping of quantitative trait loci on porcine chromosome 4

A F₂ population derived from a cross between European Large White and Chinese Meishan pigs was established in order to study the genetic basis of breed differences for growth and fat traits. Chromosome 4 was chosen for initial study as previous work had revealed quantitative trait loci (QTLs) on this chromosome affected growth and fat traits in a Wild Boar × Large White cross. Individuals in the F₂ population were typed for nine markers spanning a region of approximately 124 c m . We found evidence for QTLs affecting growth between weaning and the end of test (additive effect: 43·4 g/day) and fat depth measured in the mid-back position (additive effect: 1·82 mm). There was no evidence of interactions between the QTLs and sex, grandparents or F₁ sires, suggesting that the detected QTLs were fixed for alternative alleles in the Meishan and Large White breeds. Comparison of locations suggests that these QTLs could be the same as those found in the Wild Boar × Large White cross.     

GENETICS OF INCIPIENT SPECIATION IN DROSOPHILA MOJAVENSIS: II. HOST PLANTS AND MATING STATUS INFLUENCE CUTICULAR HYDROCARBON QTL EXPRESSION AND G × E INTERACTIONS

We performed a quantitative trait locus (QTL) analysis of epicuticular hydrocarbon variation in 1650 F₂ males from crosses of Baja California and mainland Mexico populations of Drosophila mojavensis cultured on two major host cacti. Principal component (PC) analysis revealed five PCs that accounted for 82% of the total epicuticular hydrocarbon variation. Courtship trials with mainland females were used to characterize hydrocarbon profiles of mated and unmated F₂ males, and logistic regression analysis showed that cactus substrates, two PCs, and a PC by cactus interaction were associated with mating success. Multiple QTLs were detected for each hydrocarbon PC and seven G × E (cactus) interactions were uncovered for the X, second, and fourth chromosomes. Males from the courtship trials and virgins were used, so "exposure to females" was included as a factor in QTL analyses. "Exposed" males expressed significantly different hydrocarbon profiles than virgins for most QTLs, particularly for the two PCs associated with mating success. Ten QTLs showed G × E (exposure) interactions with most resulting from mainland genotypes expressing altered hydrocarbon amounts when exposed to females compared to Baja genotypes. Many cactus × exposure interaction terms detected across QTL and all PCs confirmed that organ pipe-reared males expressed significantly lower hydrocarbon amounts when exposed to females than when reared on agria cactus. Epicuticular hydrocarbon variation in D. mojavensis is therefore a multigenic trait with some epistasis, multiple QTLs exhibited pleiotropy, correlated groups of hydrocarbons and cactus substrates determined courtship success, and males altered their hydrocarbon profiles in response to females.     

晋西黄土区水肥调控对苹果-玉米间作系统玉米灌浆期穗位叶光合生理特性的影响

以晋西黄土区典型的苹果-玉米间作系统为研究对象,设置了双因素三水平水肥耦合试验,分析不同水肥调控措施下玉米灌浆期穗位叶光合生理特性.本试验根据玉米及苹果适宜的水分和养分条件设置9(3×3)个处理(W₁F₁、W₂F₁、W₃F₁、W₁F₂、W₂F₂、W₃F₂、W₁F₃、W₂F₃、W₃F₃),设置的3个灌溉水平为:田间持水量(Fc)的50％(W₁)、65％(W₂)和85％(W₃), 3个施肥量水平为:N 289 kg·hm^-2+ P₂O₅118 kg·hm^-2+ K₂O 118 kg·hm^-2(F₁)、N 412.4 kg·hm^-2 +P₂O₅168.8 kg·hm^-2 +K₂O 168.8 kg·hm^-2(F₂)、N 537 kg·hm^-2 + P₂O₅ 219 kg·hm^-2 +K₂O 219 kg·hm^-2(F₃),另设一组无水肥补给的空白对照(CK).结果表明: 不同水肥调控方式对光合指标日变化趋势无明显影响,但水肥补给可提高作物净光合速率(P_n)的峰值,降低作物日水分利用效率(WUE)最大值,延长气孔开放时间,影响胞间CO₂浓度(C_i)最低值的出现及维持时间;各处理光合作用的限制因素均为非气孔因素.蒸腾速率(T_r)、气孔导度(g_s)均与距树行距离呈极显著负相关(P<0.01),水分利用效率则与距树行距离呈显著正相关(P<0.05);距树行距离平均每增加1 m, T_r可减少0.56~1.41 mmol·m^-2·s^-1,g_s可减少0.028～0.093 mol·m^-2·s^-1,WUE可增加0.08~1.00 μmol·mmol^-1.灌水施肥可以显著提高净光合速率、蒸腾速率、气孔导度日均值;降低水分利用效率的日均值;W₃F₁拥有最高的净光合速率日均值(10.64 μmol·m^-2·s^-1)、水分利用效率日均值(3.05 μmol·mmol^-1)、气孔导度日均值(0.295 mol·m^-2·s^-1)以及较低的蒸腾速率日均值(4.32 mmol·m^-2·s^-1).多元回归分析结果显示,在拔节-灌浆期内,灌水总量为1300 m³·hm^-2、施肥总量为525 kg·hm^-2时,作物净光合速率最大,理论值为10.32 μmol·m^-2·s^-1.因此,W₃F₁为最利于间作系统作物光合效率改善的水肥调控模式.     

Genetic analysis of seed size, yield and days to flowering in a chickpea recombinant inbred line population derived from a Kabuli × Desi cross

Quantitative traits, seed size, yield and days to flowering were studied in a chickpea intraspecific recombinant inbred line (RIL) population (F_6:7) derived from a Kabuli × Desi cross. The population was evaluated in two locations over 2 years. Days to flowering was also evaluated in the greenhouse under short-day conditions. Seed size was the most heritable trait (0.90), followed by days to flowering (0.36) and yield (0.14). Negative and significant correlation was found between yield and seed size in the second year where environmental homogeneity was tested by analysing the controls included in each assay. During the first year, the environment was not considered homogeneous for yield in either location. Quantitative trait loci (QTLs) for the three characters were detected in linkage group (LG) 4. In relation to seed size, two QTLs were located in LG4 (QTL_SW1) and LG8 (QTL_SW2). QTL_SW1 accounted 20.3% of the total phenotypic variation and QTL_SW2 explained 10.1%. A QTL for yield (QTL_YD) was located in LG4 explaining around 13% of variation. QTL_YD might be pleiotropic with QTL_SW1. For days to flowering, a QTL (QTL_DF1) was located in LG4 for all environments analysed explaining around 20% of variation. QTL_DF1 was closely linked to QTL_SW1 and QTL_YD in LG4.     

Discovering Candidate Chromosomal Regions Linked to Kernel Size-Related Traits via QTL Mapping and Bulked Sample Analysis in Maize

Kernel size-related traits, including kernel length, kernel width, and kernel thickness, are critical components in determining yield and kernel quality in maize (Zea mays L.). Dissecting the phenotypic characteristics of these traits, and discovering the candidate chromosomal regions for these traits, are of potential importance for maize yield and quality improvement. In this study, a total of 139 F2:3 family lines derived from EHel and B73, a distinct line with extremely low ear height (EHel), was used for phenotyping and QTL mapping of three kernel size-related traits, including 10-kernel length (KL), 10-kernel width (KWid), and 10-kernel thickness (KT). The results showed that only one QTL for KWid, i.e., qKWid9 on Chr9, with a phenotypic variation explained (PVE) of 13.4% was detected between SNPs of AX-86298371 and AX-86298372, while no QTLs were detected for KL and KT across all 10 chromosomes. Four bulked groups of family lines, i.e., Groups I to IV, were constructed with F2:3 family lines according to the phenotypic comparisons of KWid between EHel and B73. Among these four groups, Group I possessed a significantly lower KWid than EHel (P = 0.0455), Group II was similar to EHel (P = 0.34), while both Group III and Group IV were statistically higher than EHel (P < 0.05). Besides, except Group IV exhibited a similar KWid to B73 (P = 0.11), KWid of Groups I to III were statistically lower than B73 (P < 0.00). By comparing the bulked genotypes of the four groups to EHel and B73, a stable chromosomal region on Chr9 between SNPs of AX-86298372 to AX-86263154, entirely covered by qKWid9, was identified to link KWid with the positive allele of increasing phenotypic effect to KWid from B73, similar to that of qKWid9. A large amount of enzyme activity and macromolecule binding-related genes were annotated within this chromosomal region, suggesting qKWid9 as a potential QTL for KWid in maize.     

Molecular mapping of quantitative trait loci for drought tolerance in maize plants

Drought tolerance is one of the most important but complex traits of crops. We looked for quantitative trait loci (QTLs) that affect drought tolerance in maize. Two maize inbreds and their advanced lines were evaluated for drought-related traits. A genetic linkage map developed using RFLP markers was used to identify QTLs associated with drought-related traits. Twenty-two QTLs were detected, with a minimum of one and a maximum of nine for drought-related traits. A single-QTL was detected for sugar concentration accounting for about 52.2% of the phenotypic variation on chromosome 6. A single-QTL was also identified for each of the traits root density, root dry weight, total biomass, relative water content, and leaf abscisic acid content, on chromosomes 1 and 7, contributing to 24, 0.2, 0.4, 7, and 19% of the phenotypic variance, respectively. Three QTLs were identified for grain yield on chromosomes 1, 5, and 9, explaining 75% of the observed phenotypic variability, whereas four QTLs were detected for osmotic potential on chromosomes 1, 3, and 9, together accounting for 50% of the phenotypic variance. Nine QTLs were detected for leaf surface area on chromosomes 3 and 9, with various degrees of phenotypic variance, ranging from 25.8 to 42.2%. Four major clusters of QTLs were identified on chromosomes 1, 3, 7, and 9. A QTL for yield on chromosome 1 was found co-locating with the QTLs for root traits, total biomass, and osmotic potential in a region of about 15 cM. A cluster of QTLs for leaf surface area were coincident with a QTL for osmotic potential on chromosome 3. The QTLs for leaf area also clustered on chromosome 9, whereas QTLs for leaf abscisic acid content and relative water content coincided on chromosome 7, 10 cM apart. Co-location of QTLs for different traits indicates potential pleiotropism or tight linkage, which may be useful for indirect selection in maize improvement for drought tolerance.     

Genetic mapping of folate QTLs using a segregated population in maize

As essential B vitamin for humans, folates accumulation in edible parts of crops, such as maize kernels, is of great importance for human health. But its breeding is always limited by the prohibitive cost of folate profiling. The molecular breeding is a more executable and efficient way for folate fortification, but is limited by the molecular knowledge of folate regulation. Here we report the genetic mapping of folate quantitative trait loci (QTLs) using a segregated population crossed by two maize lines, one high in folate (GEMS31) and the other low in folate (DAN3130). Two folate QTLs on chromosome 5 were obtained by the combination of F₂ whole-exome sequencing and F₃ kernel-folate profiling. These two QTLs had been confirmed by bulk segregant analysis using F₆ pooled DNA and F₇ kernel-folate profiling, and were overlapped with QTLs identified by another segregated population. These two QTLs contributed 41.6% of phenotypic variation of 5-formyltetrahydrofolate, the most abundant storage form among folate derivatives in dry maize grains, in the GEMS31×DAN3130 population. Their fine mapping and functional analysis will reveal details of folate metabolism, and provide a basis for marker-assisted breeding aimed at the enrichment of folates in maize kernels.     

Fine Mapping of RppP25, a Southern Rust Resistance Gene in Maize

Southern rust (Puccinia polysora Underw.) is a major disease that can cause severe yield losses in maize (Zea mays L.). In our previous study, a major gene RppP25 that confers resistance to southern rust was identified in inbred line P25. Here, we report the fine mapping and candidate gene analysis of RppP25 from the near-isogenic line F939, which harbors RppP25 in the genetic background of the susceptible inbred line F349. The inheritance of resistance to southern rust was investigated in the BC₁F₁ and BC₃F₁ populations, which were derived from a cross between F939 and F349 (as the recurrent parent). The 1:1 segregation ratio of resistance to susceptible plants in these two populations indicated that the resistance is controlled by a single dominant gene. Ten markers, including three simple sequence repeat (SSR) markers and seven insertion/deletion (InDel) markers, were developed in the RppP25 region. RppP25 was delimited to an interval between P091 and M271, with an estimated length of 40 kb based on the physical map of B73. In this region, a candidate gene was identified that was predicted to encode a putative nucleotide-binding site leucine-rich repeat (NBS-LRR) protein. Two co-segregated markers will aid in pyramiding diverse southern rust resistance alleles into elite materials, and thereby improve southern rust resistance worldwide.     

Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions

In the rainfed lowlands, rice ( Oryza sativa L.) develops roots under anaerobic soil conditions with ponded water, prior to exposure to water stress and aerobic soil conditions that arise later in the season. Constitutive root system development in anaerobic soil conditions has been reported to have a positive effect on subsequent expression of adaptive root traits and water extraction during progressive water stress in aerobic soil conditions. We examined quantitative trait loci (QTLs) for constitutive root morphology traits using a mapping population derived from a cross between two rice lines which were well-adapted to rainfed lowland conditions. The effects of phenotyping environment and genetic background on QTLs identification were examined by comparing the experimental data with published results from four other populations. One hundred and eighty-four recombinant inbred lines (RILs) from a lowland indica cross (IR58821/IR52561) were grown under anaerobic conditions in two experiments. Seven traits, categorized into three groups (shoot biomass, deep root morphology, root thickness) were measured during the tillering stage. Though parental lines showed consistent differences in shoot biomass and root morphology traits across the two seasons, genotype-by-environment interaction (GxE) and QTL-by-environment interaction were significant among the progeny. Two, twelve, and eight QTLs for shoot biomass, deep root morphology, and root thickness, respectively, were identified, with LOD scores ranging from 2.0 to 12.8. Phenotypic variation explained by a single QTL ranged from 6% to 30%. Only two QTLs for deep root morphology, in RG256-RG151 in chromosome 2 and in PC75M3-PC11M4 in chromosome 4, were identified in both experiments. Comparison of positions of QTLs across five mapping populations (the current population plus populations from four other studies) revealed that these two QTLs for deep root morphology were only identified in populations that were phenotyped under anaerobic conditions. Fourteen and nine chromosome regions overlapped across different populations as putative QTLs for deep root morphology and root thickness, respectively. PC41M2-PC173M5 in chromosome 2 was identified as an interval that had QTLs for deep root morphology in four mapping populations. The PC75M3-PC11M4 interval in chromosome 4 was identified as a QTL for root thickness in three mapping populations with phenotypic variation explained by a single QTL consistently as large as 20-30%. Three QTLs for deep root morphology were found only in japonica/indica populations but not in IR58821/IR52561. The results identifying chromosome regions that had putative QTLs for deep root morphology and root thickness over different mapping populations indicate potential for marker-assisted selection for these traits.     

QTL mapping of root hair and acid exudation traits and their relationship to phosphorus uptake in common bean

The relationship between root-hair growth, acid exudation and phosphorus (P) uptake as well as the quantitative trait loci (QTLs) associated with these traits were determined for a recombinant inbred line (RIL) population derived from the cross of two contrasting common bean (Phaseolus vulgaris L.) genotypes, DOR364 and G19833, which were grown in solution culture and under field conditions with low-P availability. In the solution-culture study, root-hair density, root-hair length, H⁺ exudation and total acid exudation were measured. Substantial genotypic variability was observed for these traits and their response to P availability. The P-efficient parent G19833 had greater root-hair density, longer root-hair length, and greater exudation of H⁺ and total acid than the P-inefficient genotype DOR364. These traits segregated continuously in the RIL population, with obvious tendency of trait transgression. Genetic analysis revealed that the root traits measured had various heritabilities, with h _b ² ranging from 43.24 to 86.70%. Using an integrated genetic map developed for the population, a total of 19 QTLs associated with root hair, acid exudation and P-uptake traits were detected on 8 linkage groups. P uptake in the field was positively correlated with total acid exudation, basal root-hair length, and basal root-hair density. Acid-exudation traits were intercorrelated, as were root-hair traits. Total acid exudation was positively correlated with basal root-hair density and length. Linkage analysis revealed that some of the root-trait QTLs were closely linked with QTLs for P uptake in the field. We propose that marker-assisted selection (MAS) might be a feasible alternative to conventional screening of phenotypic root traits.     

不同磷水平下玉米-大豆间作系统根系形态变化

本研究通过盆栽试验,探讨不同磷水平(0、50、100 mg P₂O₅·kg^-1,分别用P₀、P₅₀、P₁₀₀表示)下玉米与大豆间作系统根系形态的变化及其与磷吸收的关系,以明确玉米-大豆间作系统促进磷吸收的作用机制。结果表明: 不同磷水平下,间作显著改变了玉米和大豆的根系形态参数,提高了大豆根冠比。与单作模式相比,间作使玉米和大豆的根长、根表面积、根体积、根系干重分别显著增加25.6%、22.0%、39.2%、34.3%和28.1%、29.7%、37.3%、62.3%,而平均根直径分别显著降低15.2%和11.7%。不同磷水平下,磷素吸收当量比(LER_P)>1,玉米-大豆间作具有明显的磷吸收优势,且LER_P不受磷水平调控。间作诱导根系形态改变与磷吸收增加密切相关,其中玉米根系表面积增大、大豆根系长度增加是驱动玉米-大豆间作系统磷高效吸收的主要机制。根据回归方程,玉米根表面积和大豆根系长度增大10%,磷吸收量提高5%～10%。因此,与中等施磷水平(P₁₀₀)下的单作相比,玉米-大豆间作条件下磷肥减施1/2(P₅₀)并未降低玉米的磷吸收量。综上,玉米-大豆间作体系在减施磷肥条件下具有维持作物磷吸收的潜力。     

氮添加对油松不同径级细根分解及其养分释放的影响

采用4个梯度的林地氮处理(N₀、N₃、N₆和 N₉依次为0、3、6 和9 g N·m^-2·a^-1),利用分解袋试验,研究了N添加对油松不同径级细根分解及养分释放过程的影响.结果表明: 细根分解过程分为快速分解(0～60 d)和慢速分解(60～300 d)两个阶段.0～0.4、0.4～1和1～2 mm细根分解的质量百分数在第60天分别为7.6%、10.4%和11.4%,在第300天分别为19.8%、23.5%和30.5%,说明较细的根系分解较慢.N添加显著降低了0～0.4 mm细根的分解速率,但对0.4～1和1～2 mm细根分解速率无显著影响,与对照(N₀)相比,N₃、N₆和N₉处理试验期间分解速率分别降低2.1%、4.5%和5.8%.N添加显著增加了0～0.4和0.4～1 mm细根C和N残留率,但对1～2 mm细根C和N残留率无显著影响,且对3个径级细根P残留率无显著影响.与对照相比,N₃、N₆和N₉处理分别增加了0～0.4 mm细根中8.1%、9.4%和4.5%的C残留率和5.3%、16.3%和16.7%的N残留率;同时增加了0.4～1 mm细根中2.5%、2.5%和0.9%的C残留率和0.9%、2.3%和3.9%的N残留率.0～0.4、0.4～1 mm细根C、N、P迁移模式总体表现为直接释放,而1～2 mm细根N为富集-释放模式.氮沉降可能主要通过影响0～0.4 mm细根(主要为1和2级细根)的分解过程,从而降低细根的分解速率.     

Genetic Analysis of Maize Root Characteristics in Response to Low Nitrogen Stress

Under low-input cropping systems, nitrogen (N) can be a limiting factor in plant growth and yield. Identifying genotypes that are more efficient at capturing limited N resources and the traits and mechanisms responsible for this ability is important. Root trait has a substantial influence on N acquisition from soils. Nevertheless, inconsistencies still exist as to the effect of low N on root length and its architecture in terms of lateral and axial roots. For maize, a crop utilizing heterosis, little is known about the relationship between parents and their crosses in the response of root architecture to N availability. Here 7 inbred maize lines and 21 of their crosses created by diallel mating were used to study the effect of N stress on root morphology as well as the relationship between the inbreds and their crosses. With large genotypic differences, low N generally suppresses shoot growth and increases the root to shoot ratio with or without increasing root biomass in maize. Maize plants responded to N deficiency by increasing total root length and altering root architecture by increasing the elongation of individual axial roots and enhancing lateral root growth, but with a reduction in the number of axial roots. Here, the inbreds showed weaker responses in root biomass and other root parameters than their crosses. Heterosis of root traits was significant at both N levels and was attributed to both the general combining ability (GCA) and special combining ability (SCA). Low N had substantial affects on the pattern of heterosis, GCA and SCA affects on root traits for each of the crosses suggesting that selection under N stress is necessary in generating low N-tolerant maize genotypes.     

QTLs for days to silking in a recombinant inbred line maize population subjected to high and low nitrogen regimes

Days to silking (DTS) is one of the most important traits in maize (Zea mays). To investigate its genetic basis, a recombinant inbred line population was subjected to high and low nitrogen (N) regimes to detect quantitative trait loci (QTLs) associated with DTS. Three QTLs were identified under the high N regime; these explained 25.4% of the phenotypic variance. Due to additive effects, the QTL on chromosome 6 increased DTS up to 0.66 days; while the other two QTLs mapped on chromosome 9 (one linked with Phi061 and the other linked with Nc134) decreased DTS 0.89 and 0.91 days, respectively. Under low N regime, two QTLs were mapped on chromosomes 6 and 9, which accounted for 25.9% of the phenotypic variance. Owing to additive effects, the QTL on chromosome 6 increased DTS 0.67 days, while the other QTL on chromosome 9 decreased it 1.48 days. The QTL on chromosome 6, flanked by microsatellite markers Bnlg1600 and Phi077, was detected under both N regimes. In conclusion, we identified four QTLs, one on chromosome 6 and three on chromosome 9. These results contribute to our understanding of the genetic basis of DTS and will be useful for developing marker-assisted selection in maize breeding programs.