基于HSV与形状特征融合的花椒图像识别

光照条件变化会对花椒目标识别率产生影响,关系到机器视觉技术能否有效应用于生产现场的花椒采摘。通过对HSV特性图像识别技术的分析,提出HSV和形状特征融合的花椒识别算法。该算法采用同态滤波方法对光照进行补偿,解决因为光照不均匀而导致的花椒识别率低的问题,最后利用花椒圆度特征,排除树枝及树叶等的干扰,实现花椒的准确识别。利用同态滤波方法对光照进行补偿,对于光照不强或者发生遮挡的花椒图像有较大改善,通过试验得出其平均识别率达到94.0%,比单独采用HSV特性识别时,在顺光,背光和遮阴条件下,识别率分别提高4%,13%和21%,此外在遮阴条件下运行时间缩短14.6%。为遮阴条件下提高花椒识别率提供一种方法。     

黄羽肉鸡ACSL1基因多态性与腹脂性状的相关性研究

长链酯酰辅酶A合成酶(ACSLs)是长链脂肪酸通过硫代酯化进而合成酰基辅酶A衍生物所必需的酶,也是脂肪酸代谢的第一步。哺乳动物ACSL家族由ACSL1、ACSL3、ACSL4、ACSL5和ACSL65个不同的成员组成,ACSL1是主要的异构体之一。为探讨黄羽肉鸡ACSL1基因作为腹脂性状分子标记的可行性,本实验采用PCR-直接测序技术对黄羽肉鸡ACSL1基因进行遗传多态性分析。结果显示:黄羽肉鸡ACSL1基因第17到第18外显子区域(1295 bp)SNPs位点较丰富,T32126C、C32013T、A31958G这3个位点的等位基因频率符合哈代-温伯格平衡,且A31958G突变位点、T32126C突变位点与腹脂重、腹脂率不相关,C32013T突变位点对鸡的腹脂重与腹脂率有显著影响,提示能够利用C32013T突变位点对黄羽肉鸡腹脂重进行分子标记辅助选择。     

Relationships Among the Feeding Behaviors of a Mirid Bug on Cotton Leaves of Different Ages and Plant Biochemical Substances

Apolygus lucorum (Meyer-Dür) (Hemiptera: Miridae) tends to feed on young plant tissues. To explore the relationship between stylet probing behaviors of adult A. lucorum and conditions of cotton leaves, we conducted an experiment using electropenetrography (EPG). Behaviors were recorded on four cotton varieties, in relation to thickness and biochemical traits of differently-aged leaves. Cotton leaf age had a significant effect on the probing behavior of A. lucorum but cotton variety did not. One-day-old leaves of A. lucorum received the highest mean number of stylet probes (penetrations) per insect, and longest mean durations per insect of combined stylet probing or its components, cell rupture and ingestion behaviors. All of the leaf traits (thickness and biochemical substances) were similar among these four cotton varieties. Leaf thickness had a significantly negative effect on the same four variables above. Gossypol and tannin also had a negative impact on combined probing duration. Redundancy analysis showed that the four EPG variables were closely related to nutrient substances (amino acids, sugar, and water) while they had the opposite relationship with plant defense substances (gossypol and tannin). On cotton in the seedling stages, A. lucorum fed more readily on the youngest, thinnest leaves in our no-choice EPG experiments. Nutrients and chemical resistance substances determined the probing duration of A. lucorum. Our findings can contribute to better understanding of patterns of feeding and host consumption by A. lucorum, ultimately improving cotton resistance to A. lucorum.     

Genetic bases of source-,sink-,and yield-related traits revealed by genome-wide association study in Xian rice

The source-sink relationship determines the ultimate grain yield.We investigated the genetic basis of the relationship between source and sink and yield potential in rice.In two environments,we identified quantitative trait loci(QTL)associated with sink capacity(total spikelet number per panicle and thousand-grain weight),source leaf(flag leaf length,flag leaf width and flag leaf area),source-sink relationship(total spikelet number to flag leaf area ratio)and yield-related traits(filled grain number per panicle,panicle number per plant,grain yield per plant,biomass per plant,and harvest index)by genome-wide association analysis using 272 Xian(indica)accessions.The panel showed substantial variation for all traits in the two environments and revealed complex phenotypic correlations.A total of 70 QTL influencing the 11 traits were identified using 469,377 high-quality SNP markers.Five QTL were detected consistently in four chromosomal regions in both environments.Five QTL clusters simultaneously affected source,sink,source–sink relationship,and grain yield traits,probably explaining the genetic basis of significant correlations of grain yield with source and sink traits.We selected 24 candidate genes in the four consistent QTL regions by identifying linkage disequilibrium(LD)blocks associated with significant SNPs and performing haplotype analysis.The genes included one cloned gene(NOG1)and three newly identified QTL(qHI6,qTGW7,and qFLA8).These results provide a theoretical basis for high-yield rice breeding by increasing and balancing source–sink relationships using marker-assisted selection.     

混播比例和施氮肥对箭筈豌豆/燕麦草地根系特性的影响

豆科和禾本科牧草混播是栽培草地的重要模式之一,能显著改善土壤,提升系统可持续生产能力。牧草根系是土壤有机质返还的重要来源,但混播草地中牧草根系特性的变化尚不清楚。以箭筈豌豆和燕麦草地为对象,研究了不同施氮肥水平和混播比例下其根生物量、根性状的变化。结果表明:1)混播比例和施氮肥对草地根生物量和根性状有显著交互作用,混播草地根生物量显著大于单播;与高氮肥处理相比,根生物量在低、中氮肥处理下更高;高氮肥对根长、比根长、根表面积和比根面积在植物生长前期表现为抑制作用,在生长后期随混播中箭筈豌豆比例的增大,抑制作用减轻。2)混播条件下土壤硝态氮含量大于单播,而土壤铵态氮含量仅在乳熟期时大于单播,且随混播中箭筈豌豆比例增大,矿质氮含量增加;施氮肥对0~30 cm土层中的矿质氮含量有显著影响,其含量在施氮肥100 kg·hm^-2下最高,不施肥下最小。3)根生物量与土壤硝态氮含量间显著正相关,根长、根表面积、根体积与土壤硝态氮含量间显著负相关。综上,混播中箭筈豌豆比例的增加有助于改善土壤矿质氮,优化混播草地根性状。     

苦荞粒形相关性状的遗传分析

利用籽粒大小差异较大的2个苦荞品种的杂交后代开展了与产量具有密切关系的粒形相关性状的遗传规律及其性状间的相关性分析。结果表明,F₂和F₃群体的粒长、粒宽、长宽比和千粒重表现值范围都超过亲本的表现值,并且粒长、粒宽和长宽比的变异系数均小于10%,千粒重的变异系数大于10%。另外,粒长、粒宽、长宽比和千粒重的加性方差均大于显性方差,广义遗传率在F₂和F₃代中分别为0.77~0.82和0.82~0.85,固定遗传率都达到0.80以上。粒形性状间的相关性分析结果表明,粒长、粒宽和千粒重相互间都存在极显著的正相关,粒宽和千粒重,粒长和长宽比的遗传相关系数较大。以上结果表明,具有较高遗传率的粒形相关性状可以在后代早期进行选择,但由于这些性状是数量性状而且受多个基因的控制,因此建议继续繁殖后代到基因型稳定,同时考虑性状间的相关性选拔最为有效。     

表型组学在水稻研究中的应用

水稻作为重要粮食作物,其重要农艺性状的功能基因组研究是植物生物学研究的热点。植物基因型、表型和环境三者构成了遗传学研究的铁三角。随着高通量测序技术的快速发展,基因型的研究更加简单快速。然而表型研究严重滞后于基因型研究。目前传统的表型信息的获取存在所需劳动量巨大、成本高,所获取表型数据受人工主观因素影响大等诸多难题。高通量表型组学可无损、高通量、精准获取表型信息,对解决以上难题具有关键作用。本文对表型组学在水稻中的研究应用情况进行整理,为今后水稻基因组学和表型组学等多学科相结合的现代研究手段提供理论支撑。     

水稻叶片早衰突变体的农艺与生理性状研究进展

叶片早衰严重影响水稻产量与品质。研究水稻叶片早衰突变体的农艺及生理性状,有助于了解水稻叶片衰老进程和机理。本文简述了叶片衰老特征和衰老机制,重点综述了水稻叶片早衰突变体的类型、农艺与生理性状研究进展及延缓水稻叶片衰老的栽培调控途径。可为水稻抗衰老品种选育及栽培调控提供理论依据。     

玉米脱粒破碎率关键影响因子及其最优预测模型研究

子粒破碎率高是当前中国玉米机械收获子粒的重要限制因素,解析破碎率变化原因,建立其简便预测模型是需要解决的重要问题。本文采集7个玉米品种在3个种植密度下组合的果穗,在不同子粒含水率梯度条件下开展单穗脱粒试验。种植密度在6万～9万株/hm2范围内对子粒破碎率没有影响,品种、子粒的含水率、抗侧压碎力和穿刺强度等的影响均达到统计显著水平。品种对破碎率变化的偏贡献率为12.7%,且品种的偏贡献率子粒含水率的偏贡献率抗侧压碎力的偏贡献率穿刺强度的偏贡献率,种植密度的偏贡献率接近于零。破碎率的最优预测因子是穿刺强度,预测模型:破碎率=10.25×0.990穿刺强度,满足破碎率不高于5%约束的穿刺强度值不得低于60 MPa。研究结果可为玉米破碎率预测、宜机收玉米新品种培育与鉴定、脱粒机具设计与制造提供数据支撑和技术参考。     

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.