春大豆鼓粒期冠层翻叶原因及翻叶对叶片净光合速率和粒重的影响

为明确春大豆鼓粒期冠层翻叶原因及翻叶对粒重的影响。在大田条件下,以28份大豆品种为材料,采用随机区组试验设计,研究了鼓粒初期植株顶部4片叶的单叶面积、比叶重、叶型指数、叶片含水量与翻叶率的关系;比较了翻叶与对照叶片的净光合速率、百粒重及粒重的差异。结果表明,不同大豆品种间翻叶率在0~26.5%之间,且差异显著,其中以‘中黄313’、‘中黄42’和‘中黄13’最高;单叶面积在46~151 cm²之间,其中以‘中黄39’、‘中黄42’和‘中黄13’最大;比叶重在0.536~1.64 mg/cm²之间,其中以‘中黄322’、‘中黄313’和‘中黄13’最低;叶型指数在1.35~3.51之间,其中以‘中黄70’、‘中黄80’和‘中黄42’最低。供试大豆品种分为3个类群,第I类群品种单叶面积小,比叶重高,叶型指数大,翻叶率为1.03%;第III类群品种单叶面积大,比叶重小,翻叶率高达19.7%;第II类群共4个品种,单叶面积、比叶重、叶型指数、翻叶率介于第I类和第III类群之间。翻叶后显著降低叶片净光合速率,平均降幅31.7%,粒数较多的‘新大豆27号’百粒重降低10.38%~22.4%,而粒数少的‘吉育60’粒重没有降低。大豆上层叶片单叶面积大、比叶重小及叶型指数低的叶片翻叶率高,翻叶降低叶片净光合速率,进而降低同节位百粒重及单节粒重,不利于大豆高产。     

脐橙叶片矿质营养元素含量的分区分布特征

为揭示矿质营养元素在脐橙叶中分区分布特征,以枳砧和枳橙砧纽荷尔脐橙为对象,测定新叶和老叶的叶尖、叶缘、中部、叶基和翼叶等5个分区中10种元素(N、P、K、Ca、Mg、Fe、Mn、Cu、Zn和B)的含量,并分析各分区离子组成的差异。主成分分析显示,第一主成分(PC1)和第二主成分(PC2)分别解释了总变量的43.4%和21.1%,明确区分了新叶和老叶,大致区分了叶不同分区,发现新叶翼叶与其他分区具有明显差异,而老叶本叶各分区的离散程度明显大于新叶本叶各分区。两种砧木脐橙新叶中钾含量分布表现为翼叶叶基中部叶缘≈叶尖,镁含量表现为叶尖≈叶缘中部叶基翼叶;两种砧木脐橙老叶中锰含量表现为叶尖≈叶缘中部叶基翼叶,硼含量表现为叶尖叶缘中部叶基翼叶。N、P、B在新叶本叶各分区以及P、Ca在老叶本叶各分区间含量都没有显著差异。枳砧脐橙新叶翼叶Mn、Cu和Zn的含量与叶片其他分区没有显著差异,而枳橙砧脐橙新叶翼叶Mn、Cu和Zn的含量都分别显著低于叶片其他分区。结果表明,不同元素叶片分区分布特征存在明显差异,翼叶的元素含量和离子组成与叶片其他分区差异明显。     

Determination of critical nitrogen dilution curve based on leaf area index for winter wheat in the Guanzhong Plain,Northwest China

Excessive use of nitrogen(N) fertilizers in agricultural systems increases the cost of production and risk of environmental pollution. Therefore, determination of optimum N requirements for plant growth is necessary. Previous studies mostly established critical N dilution curves based on aboveground dry matter(DM) or leaf dry matter(LDM) and stem dry matter(SDM), to diagnose the N nutrition status of the whole plant. As these methods are time consuming, we investigated the more rapidly determined leaf area index(LAI) method to establish the critical nitrogen(N_c) dilution curve, and the curve was used to diagnose plant N status for winter wheat in Guanzhong Plain in Northwest China. Field experiments were conducted using four N fertilization levels(0, 105, 210 and 315 kg ha-1) applied to six wheat cultivars in the 2013–2014 and 2014–2015 growing seasons. LAI, DM, plant N concentration(PNC) and grain yield were determined. Data points from four cultivars were used for establishing the N_c curve and data points from the remaining two cultivars were used for validating the curve. The N_c dilution curve was validated for N-limiting and non-N-limiting growth conditions and there was good agreement between estimated and observed values. The N nutrition index(NNI) ranged from 0.41 to 1.25 and the accumulated plant N deficit(N_(and)) ranged from 60.38 to –17.92 kg ha~(-1) during the growing season. The relative grain yield was significantly affected by NNI and was adequately described with a parabolic function. The N_c curve based on LAI can be adopted as an alternative and more rapid approach to diagnose plant N status to support N fertilization decisions during the vegetative growth of winter wheat in Guanzhong Plain in Northwest China.     

Pigeonpea improvement: An amalgam of breeding and genomic research

In the past five decades, constant research has been directed towards yield improvement in pigeonpea resulting in the deployment of several commercially acceptable cultivars in India. Though, the genesis of hybrid technology, the biggest breakthrough, enigma of stagnant productivity still remains unsolved. To sort this productivity disparity, genomic research along with conventional breeding was successfully initiated at ICRISAT. It endowed ample genomic resource providing insight in the pigeonpea genome combating production constraints in a precise and speedy manner. The availability of the draft genome sequence with a large‐scale marker resource, oriented the research towards trait mapping for flowering time, determinacy, fertility restoration, yield attributing traits and photo‐insensitivity. Defined core and mini‐core collection, still eased the pigeonpea breeding being accessible for existing genetic diversity and developing stress resistance. Modern genomic tools like next‐generation sequencing, genome‐wide selection helping in the appraisal of selection efficiency is leading towards next‐generation breeding, an awaited milestone in pigeonpea genetic enhancement. This paper emphasizes the ongoing genetic improvement in pigeonpea with an amalgam of conventional breeding as well as genomic research.     

A genetic linkage map in southern‐by‐spring oat identifies multiple quantitative trait loci for adaptation and rust resistance

We developed 178 recombinant inbred lines from a southern‐by‐spring oat population designated as “TxH.” These lines were genotyped to generate a high‐quality linkage map that resolved 6,902 markers into 21 linkage groups that matched closely with the latest hexaploid oat consensus map. Three major quantitative trait loci (QTLs) affecting heading date were found in locations that are consistent with known QTLs and candidate genes, and two other QTLs affecting heading date were found in novel locations. Five QTLs affecting plant height were found. Both sets of QTLs are responsible for transgressive segregation observed for these two traits. Four QTLs affecting resistance to crown rust, caused by the pathogen Puccinia coronata f. sp. avenae, were identified. Two of these QTLs are consistent with known clusters of rust resistance genes, while two may represent new locations of novel rust resistance genes. A complete set of SNP sequences suitable for generating markers for molecular selection is provided.     

Bulk pollen pollination in maize for efficient construction of introgression populations with high genome coverage

Introgression populations consist of a set of introgression lines or families, constructed by continuous backcrossing to the recurrent parent, while carrying a limited number of chromosome segments from a donor parent in their genomes. Increasing the genome coverage is an important aim when constructing introgression population. In this study, we proposed bulk pollen pollination (BPP) method and used it to increase the genome coverage of a maize introgression population. The results showed that the genome coverage of the introgression population constructed using BPP method reached 100% at BC₃ generation, which accorded with the simulation result. The BPP‐based BC₃F_1:2 population could identify most quantitative trait loci (QTL) detected using the F_2:3 population, especially major QTL. Simulation analysis showed that the genome coverage of introgression population increased with the increase of population size and the number of bulked plants, and decreased with the increase of backcross generation. Our results proved the reliability of the BPP‐based introgression population in increasing genome coverage and detecting QTL, and provided references for constructing high‐coverage introgression populations.     

Quantitative trait loci analysis for root traits in synthetic hexaploid wheat under drought stress conditions

Synthetic hexaploid wheat(SHW), possesses numerous genes for drought that can help breeding for drought-tolerant wheat varieties. We evaluated 10 root traits at seedling stage in 111 F9 recombinant inbred lines derived from a F2 population of a SHW line(SHW-L1) and a common wheat line, under normal(NC) and polyethylene glycol-simulated drought stress conditions(DC). We mapped quantitative trait loci(QTLs) for root traits using an enriched high-density genetic map containing 120 370 single nucleotide polymorphisms(SNPs), 733 diversity arrays technology markers(DArT) and 119 simple sequence repeats(SSRs). With four replicates per treatment, we identified 19 QTLs for root traits under NC and DC, and 12 of them could be consistently detected with three or four replicates. Two novel QTLs for root fresh weight and root diameter under NC explained 9 and 15.7% of the phenotypic variation respectively, and six novel QTLs for root fresh weight, the ratio of root water loss, total root surface area, number of root tips, and number of root forks under DC explained 8.5–14% of the phenotypic variation. Here seven of eight novel QTLs could be consistently detected with more than three replicates. Results provide essential information for fine-mapping QTLs related to drought tolerance that will facilitate breeding drought-tolerant wheat cultivars.     

茶树凋落叶浸提液对菘蓝生理生化的化感效应

为研究茶树凋落叶浸提液对菘蓝生长与生理生化的化感效应,以模拟自然条件下雨雾淋溶方式,采用不同浓度的茶树凋落叶浸提液(CK:0 mg·mL^-1、T1:6.25 mg·mL^-1、T2:12.5 mg·mL^-1、T3:25 mg·mL^-1 和T4:50 mg·mL^-1)处理菘蓝,测定其生长、抗氧化酶活性及其基因表达量、细胞膜损伤率以及丙二醛(MDA)、过氧化氢(H₂O₂)、渗透调节物质和次生代谢物含量的变化。结果表明,茶树凋落叶浸提液对菘蓝生长表现出“低促高抑”的浓度效应,与CK相比,T1对菘蓝生长具有一定的促进作用,而浸提液浓度超过菘蓝的耐受阈值时,会对其生长产生不利的影响。随着浸提液浓度的升高,可溶性糖和可溶性蛋白含量呈先上升后下降的趋势,而脯氨酸含量则持续增加。与CK相比,T1的MDA含量、细胞膜损伤率和H₂O含量差异不显著,而T3、T4则显著升高。茶树凋落叶浸提液对抗氧化酶活性及其基因表达有不同的影响,T1的过氧化物酶(POD)与抗坏血酸氧化物酶(APX)活性最高,T2的过氧化氢酶(CAT)活性最高,而T3、T4的4种抗氧化酶活性均显著低于CK。T1的Pod、Cat、Apx基因表达量最高,而T4则抑制了抗氧化酶基因的表达。此外,POD活性与其基因表达量呈显著正相关,而超氧化物歧化酶(SOD)、CAT和APX活性与其基因表达量的相关性不显著。不同浓度的茶树凋落叶浸提液对于菘蓝次生代谢物质积累的影响存在显著差异,低浓度茶树凋落叶浸提液对菘蓝生长、靛蓝和靛玉红含量积累有促进作用,而高浓度茶树凋落叶浸提液对总黄酮含量积累有一定的促进作用。本研究结果可为幼龄茶园中茶树-菘蓝复合种植提供理论参考。     

非热处理对蜂花粉杀菌效果及品质的影响

为探究更有利于保留蜂花粉原有营养和风味的杀菌方法,本研究分别用辐照、超高压和高压静电场3种非热杀菌技术处理蜂花粉,并测定营养及风味的指标。结果表明,7 kGy辐照、500 MPa超高压、30 kV高场强处理对蜂花粉中的微生物均有抑制作用,且辐照对细菌的抑制效果较好,超高压和高压静电场对真菌的抑制效果较好。经500 MPa超高压处理后,蜂花粉脂类含量增加了23.3%,酚酸等活性成分含量增加,且其抗氧化活性降低程度最小,颜色和风味最接近未处理蜂花粉;30 kV高场强处理后,蜂花粉抗氧化活性显著下降、颜色偏深偏暗;7 kGy辐照处理后产生了明显的辐照味。综上,蜂花粉经超高压灭菌能达到较好的杀菌效果,而且能最大限度保持蜂花粉原有品质。本研究为非热杀菌技术在蜂花粉加工产业中的应用提供了理论依据。