食用向日葵产量性状的遗传研究

以食葵不育系17-A26为母本、恢复系17-C19为父本,构建P₁、P₂、F₁、F₂、B₁和B₂ 6个世代群体,研究了产量相关性状盘径、单株总粒数、结实率、百粒重、粒长和粒宽的后代变异及遗传率。结果表明,6个性状均为数量性状,变异幅度排序为单株总粒数>粒长>盘径>结实率>百粒重>粒宽,狭义遗传率排序为百粒重>粒长>单株总粒数>粒宽>盘径>结实率。根据遗传进度结果,百粒重、粒长、单株总粒数和粒宽宜早代根据表型选择,盘径宜晚代选择,结实率宜晚代结合多环境联合选择。     

菜心重要农艺性状与SSR分子标记的关联分析

菜心是华南地区的主要蔬菜,利用分子标记辅助育种发掘出与重要农艺性状相关的分子,不仅可以加速优良品种的选育进程,还可以定向地优化目标性状,培育出高产优质的菜心品种。本研究选用148份来自宁夏银川和广东南沙田间种植的菜心种质材料,采集株高、株质量、薹高、薹质量和薹粗5个重要农艺性状的数据;利用SSR标记对其进行基因分型,开展农艺性状及SSR标记的关联性分析。结果表明,在供试的菜心材料中,147个SSR标记共检测到252个变异位点,引物多态信息含量(PIC)为0.0526~0.5222,平均值为0.3793;群体结构分析将供试的菜心品种分为2个类群;银川和南沙两地菜心品种在农艺性状和SSR标记的关联分析中发现,有6个位点与相同性状存在仍显著关联(P<0.01)。这些标记能为菜心的分子辅助选择育种提供参考。     

延迟收获对长江中游春玉米农艺性状及机收质量的影响

为探明长江中游玉米籽粒机械直收适宜品种与配套农艺措施，2018—2019年选用不同玉米品种，测定不同机收时间下玉米关键农艺性状、产量及机收质量指标。结果表明，收获时间对春玉米机收产量与机收质量均有显著影响。延迟1周收获后籽粒容重显著增加，机收产量显著提高，2年平均提高9.72%；而延迟2周收获则有降低机收产量的趋势。2年收获时杂质率总体≤3%，而机收籽粒破碎率与损失率均>5%，是该区域春玉米籽粒机收面临的主要问题。籽粒厚度、籽粒含水率和百粒重是影响机收籽粒破碎率的关键性状，三者与机收籽粒破碎率均呈显著的倒二次曲线关系；玉米的倒伏率、穗位高和重心高度是影响机收损失率的关键性状，倒伏率与机收损失率呈显著正相关，而穗位高和重心高度与机收损失率均呈显著的二次曲线关系。延迟收获能显著降低籽粒含水量，从而降低籽粒破碎率，但继续延迟收获有增加倒伏的风险。综上，长江中游春玉米成熟后适时延迟7~10 d收获，可有效降低籽粒含水量与机收籽粒破碎率，提高玉米籽粒机收产量。     

Quantitative trait loci responsible for the difference in γ-oryzanol content in brown rice between japonica-type and indica-type rice cultivars

γ-Oryzanol is a main oleophilic component in rice bran oil and has been well recognized as a good dietary supplement for human health, as well as having uses in industrial materials. japonica-type rice cultivars generally showed significantly higher contents of total γ-oryzanol in brown rice compared with indica-type cultivars, although within-group variation was significant. The objective of this study was to explore quantitative trait loci (QTLs) responsible for the difference in the γ-oryzanol content between japonica-type and indica-type rice cultivars, using recombinant inbred lines (RILs), backcross inbred lines (BILs), and corresponding chromosome segment substitution lines (CSSLs) derived from crosses between japonica-type and indica-type. Results from RILs and BILs showed that eight QTLs were detected with R² from .09 to .16. Nine candidate regions for QTL were also suggested from corresponding CSSLs. These QTLs from RILs and BILs and the candidate regions from CSSLs were not overlapped, although one QTLs was mapped near the boundaries of the respective candidate region. At four QTLs and three candidate regions, alleles or segments from japonica-type caused higher contents than those from indica-type. On the other hand, at the other four QTLs and six candidate regions, alleles or segments from indica-type caused higher contents than those from japonica-type, which is a reverse result to the parental differences. This result strongly suggested that alleles with increasing effects on γ-oryzanol content could be accumulated not only from japonica-type but also from indica-type, leading to a potential for increase in γ-oryzanol content in future breeding programs.     

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.     

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.     

绿色超级稻品种的农艺与生理性状分析

探明绿色超级稻的农艺与生理性状,对于培育和选用绿色超级稻品种有重要意义。本研究以4个绿色超级稻品种为材料,1个超级稻品种和1个非超级稻品种为对照,观察了绿色超级稻的农艺与生理表现。结果表明,与对照品种相比,绿色超级稻品种具有较高的产量和氮素利用效率。绿色超级稻品种较高的产量得益于总颖花数和结实率的同步提高,较高的氮素利用率主要在于较高的植株氮素籽粒生产效率(氮素内部利用效率)。绿色超级稻具有较高的茎蘖成穗率和粒叶比,抽穗期较高的糖花比,灌浆期较高的作物生长速率、净同化率、根系氧化力和茎中同化物向籽粒的运转率和成熟期较高的收获指数。这些性状与产量及植株氮素籽粒生产效率均呈极显著的正相关。建议将上述性状作为培育和选用绿色超级稻品种的参考指标。     

普通小麦主要农艺性状的全基因组关联分析

为解析小麦复杂农艺性状的遗传机制,本研究以150份小麦品种(系)为自然群体,在4个环境条件下测定了9个主要农艺性状,利用小麦35K SNP芯片,结合5种关联模型(Q、PCA、K、PCA+K、Q+K),进行全基因组关联分析。结果表明,全基因组多态性信息量PIC的范围为0.0950～0.5000,最小等位基因频率MAF值为0.0500～0.5000;群体结构分析和PCA分析均表明参试材料可分为两个亚群;连锁不平衡分析发现A基因组、B基因组、D基因组和全基因组的LD衰减距离分别为4.7、8、11和6 Mb。9个性状共检测到652个显著的关联位点(P≤0.001),其中21个SNP在2个或2个以上的环境中被重复检测到,分布在1A(1)、1B(4)、2A(3)、2D(2)、3A(1)、5A(1)、5B(5)、6A(1)、6B(2)和7D(3)染色体上; 1个SNP标记的物理位置未知, 3个SNP标记同时与2个性状显著关联;单个SNP的表型贡献率为7.67%～18.79%。8个优势等位变异在供试群体中所占比例较低,筛选出14个可能与小麦农艺性状相关的候选基因,其中TraesCS5B02G237200、TraesCS7D02G129700和TraesCS1B02G426300可能在植物抵御生物与非生物胁迫中起作用,TraesCS5B02G010800和TraesCS7D02G436800可能与植物激素的合成和响应有关,TraesCS2A02G092200可能与植物细胞壁的增强有关, TraesCS5A02G438800可能参与叶绿体发育,另外7个候选基因的功能未知。     

五大连池火山山杨叶功能性状的变异特征

  目的  探讨五大连池火山山杨叶功能性状特征，揭示植物对火山生境的适应，以及对不同坡向的生存策略，为特殊生境和微地形生境下植物的适应机制提供参考依据。  方法  以5座火山共有植物山杨为对象，测定叶面积（LS）、叶厚度（LT）、比叶面积（SLA）、叶干物质量（LDMC）、叶碳含量（LCC）、叶氮含量（LNC）、叶磷含量（LPC）和叶氮磷比（LNP）等8种功能性状在坡向间、火山间的变化规律和变异特征，分析叶功能性状间相互关系和主成分。  结果  （1）除LCC外，其他7种功能性状在南北坡向间均具有显著差异，LT、LDMC、LNC、LNP表现为南坡大于北坡，而LS、LCC、LPC表现为南坡小于北坡。（2）山杨SLA、LCC、LPC在新、老期火山间差异显著，但在老期火山间差异不显著。（3）火山南坡、北坡山杨LT与LDMC呈显著负相关，南、北坡向及火山间山杨LNP与LNC均呈极显著正相关、与LPC呈极显著的负相关关系。（4）火山环境中山杨LNP、LPC、LNC和LS在叶功能性状分化中起到主要贡献作用。  结论  五大连池火山山杨叶功能性状的变异与火山喷发的特殊性有关，山杨通过调节自身功能性状形成不同的生存策略来适应南、北坡向和不同火山环境，在生长过程中更容易受到氮元素缺乏的限制。火山森林生态系统是一个特殊环境，研究火山植被演替和植物功能性状等问题需要结合火山喷发的特殊情况深入讨论。      

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.