陆地棉高品质系数量性状的遗传变异与选择指数

 研究了20个高品质陆地棉品系12个数量性状的遗传变异、广义遗传力、遗传相关及产量的选择指数。结果表明,单株产量和株铃数具有较大的遗传变异,纤维品质性状的遗传变异较小,说明继续改良高品质系的产量性状潜力较大。纤维品质性状的广义遗传力介于79.07%~89.47%之间,产量及产量组分性状中以衣分和铃重最高,广义遗传力分别为89.1%和81.85%,单株皮棉重最低,为55.05%。单株皮棉重与株铃数、株铃数与果枝数成极显著遗传正相关。利用与单株皮棉重遗传相关较强的多个性状构建的选择指数,比单纯选择单株皮棉重的效果好,其中以单株皮棉重、株铃数、果枝数和果节数结合选择的效果最佳。     

基于地相位优化估计的RVoG三阶段森林冠层高度反演

极化干涉合成孔径雷达（PolInSAR）估测森林结构参数中,数据受基线长度、信噪比、环境地形以及雷达波长的影响,尤其在复杂森林环境条件下,会导致观测到的复相干存在误差,从而影响最终的反演结果。为解决此问题,首先探讨了体相干选择对RVoG三阶段森林冠层高度反演的影响,以地相位为参考逐像素选择距离地相位最远的相干性作为体相干。其次改进了地相位估计方法,采用戴明回归（DMR）和正交回归（OGR）2种相干直线拟合方法来改进地相位的估计,并在DMR拟合方法中设置了不同的误差比（0.3和0.6）来比较地相位估计方法对RVoG三阶段森林冠层高度反演的影响。研究结果表明：以地相位为参考逐像素选择体相干的反演结果相较于直接使用HV极化通道的复相干γ_HV为体相干的反演精度有明显提升,决定系数（R²）由0.349增加到0.383,均方误差由7.097 m²降低到5.755 m²。在体相干优化选择的基础上,采用了戴明回归和正交回归对地相位估计方法进行了改进。表明基于最小二乘回归（LSR）地相位估计的RVoG三阶段反演精度最...     

基于全子集-分位数回归的土壤含盐量反演研究

为提高植被覆盖条件下卫星遥感对土壤含盐量的估测精度,以河套灌区解放闸灌域为研究区,以高分一号卫星影像为数据源,同步采集不同深度土壤含盐量,通过全子集筛选法(Best subset selection)分析不同波段和光谱指数对于不同深度土壤含盐量的敏感性,并采用人工神经网络(Artificial neural network,ANN)、支持向量机(Support vector machine,SVM)和分位数回归(Quantile regression,QR) 3种方法,构建全子集筛选前后0～20 cm、20～40 cm、0～40 cm、40～60 cm、0～60 cm等不同深度下的土壤含盐量反演模型。结果表明,B4、BI、SI1、SI3是0～20 cm、0～40 cm处土壤含盐量的敏感变量组合,B4、BI、NDVI为20～40 cm、40～60 cm、0～60 cm处土壤含盐量的敏感变量组合;在各深度下,分位数回归模型的精度最高,模型的决定系数R2c1、R2v1均在0. 4以上,均方根误差RMSEc1、RMSEv1均小于0. 4%,SVM次之,ANN最差;在20～40 cm深度下QR反演模型效果优于其他深度,为本文土壤含盐量估算的最优模型,其建模和验证的决定系数R2c1、R2v1分别为0. 611和0. 671,建模和验证均方根误差RMSEc1、RMSEv1分别为0. 177%和0. 160%。本研究可为卫星遥感大范围监测植被覆盖条件下土壤盐渍化程度提供参考。     

基于随机森林的高寒湿地地区土地覆盖遥感分类方法

高寒湿地是青藏高原典型独特的生态系统,是全球气候变化的敏感地带和预警区。利用遥感技术快速、准确地分类提取高寒湿地的土地覆盖信息,对当地生态安全监测和保护具有重要意义。本文以若尔盖湿地国家级自然保护区为研究区,首先,以高分一号(GF-1)遥感影像为数据源,融合光谱特征、水体指数、地形特征、植被指数和纹理信息等26个变量进行随机森林(Random forest,RF)分类实验;然后,根据袋外数据(Out of bag,OOB)的特征变量重要性得分和精度评价结果,选出高寒湿地地区土地覆盖类型的最优分类方案和特征;最后,对特征变量进行降维,并基于相同的变量,采用极大似然法(Maximum likelihood classification,MLC)、支持向量机(Support vector machine,SVM)、人工神经网络(Artificial neural network,ANN)和RF等方法进行分类,比较不同方法的优适性。结果表明:结合GF-1影像光谱、水体、植被、纹理特征和地形信息,使用26个变量的RF模型的分类精度最高,总体精度(Overall accuracy,OA)为90.07%,Kappa系数为0.86;通过RF模型的变量重要性分析可以有效选出重要的特征信息,在降低特征变量维度的同时,还能保证较高的分类精度; 4种分类方法中,RF算法是高寒湿地地区较合适的分类方法,OA比MLC基准方法高17.63个百分点,比SVM和ANN等机器学习算法分别高6.98、6.56个百分点。     

玉米果穗剥皮辊型及其主要参数优选试验

在前人研究基础上，用实验法在室内专用试验台架上对玉米果穗剥皮辊型及其主要运动与结构参数进行多指标正交试验，以求进一步摸清各参数对剥皮性能影响程度及其变化规律，寻求较优参数组合，为研究设计米果穗剥皮机械提供科学依据。     

Field performance and molecular diversification of lemon selections

Lemon (Citrus limon (L.) Burm. f.) is one of the most important Citrus fruit for Turkey because of its great amount of production and export. It has been cultivated for a long time in Turkey, and therefore variations for agronomical traits are likely among cultivated lemons due to bud mutations and, hybridizations. The objectives of this study were to determine variations for some selected agronomical traits and genetic markers among 12 new lemons derived from selections. Tree growth, yield, fruit quality, and molecular diversification of these clones were determined. After four years of evaluation, ‘Kutdiken’ M-51 indicated the highest canopy volume. For yield per tree, the best clone was ‘Kutdiken’ M-51. After five years of evaluation, ‘Kibris’ M-54 had the highest fruit weight and acidity. ‘Italian Memeli’ M-56 contained the lowest seed number and the highest total soluble solids. Molecular analysis, as assessed with 22 random amplification of polymorphic DNA (RAPD) and 11 inter simple sequence repeats (ISSR) primers, indicated that seven of twelve clones were separated with RAPD markers, whereas four were distinguished with ISSR markers. Combined analysis of RAPD and ISSR data detected that similarity values among the lemons clones were between 0.97 and 1.00. It can be concluded that variations in orchards are abundant and mainly due to mutations.     

A SCAR marker linked to the N gene for resistance to root knot nematodes (Meloidogyne spp.) in pepper (Capsicum annuum L.)

The root-knot nematodes (Meloidogyne spp.) are important nematode pests and cause serious diseases in pepper in the world. No molecular markers linked to the nematodes resistance N gene have been reported. In this paper, ‘Carolina Wonder’ (Capsicum annuum L.), a sweet pepper line resistant to root-knot nematode with N gene, ‘20080-5-29’ (C. annuum L.), an inbred line susceptible to root-knot nematode with good horticultural characteristics, and their F₂ progeny with 320 individuals were used as materials. Evaluation of resistance and susceptibility of parental lines, F₁ and F₂ progeny inoculated with root-knot nematodes (Meloidogyne incognita) were carried out. ‘Bulked segregant analysis’ method was used to search for polymorphic markers from 512 pairs of AFLP primers. Based on the assessment of resistance and susceptibility and polymorphism of the AFLP marker in F₂ population, the genetic linkage distance between the AFLP marker and the N gene was estimated. One AFLP marker E39/M41-339 was obtained and transferred to a SCAR marker amplifying a 315 bp DNA fragment linked to the N resistant allele and a 331 bp fragment linked to the N⁺ susceptible allele. The distance between the molecular marker and the nematodes resistance N gene is 6.3 cM. This research delivered a valuable tool for the marker assisted selection of nematodes resistance in pepper.     

Multi-scale use of lands providing anthropogenic resources by American Crows in an urbanizing landscape

The conversion of forests and farmlands to human settlements has negative impacts on many native species, but also provides resources that some species are able to exploit. American Crows (Corvus brachyrhynchos), one such exploiter, create concern due to their impact as nest predators, disease hosts, and cultural harbingers of evil. We used various measures of crow abundance and resource use to determine crows’ response to features of anthropogenic landscapes in the Puget Sound region of the United States. We examined land cover and land use composition at three spatial scales: study sites (up to 208 ha), crow home ranges within sites (18.1 ha), and local land cover (400 m²). At the study site and within-site scales crow abundance was strongly correlated with land cover providing anthropogenic resources. In particular, crows were associated with the amount of ‘maintained forest’ cover, and were more likely to use grass and shrub cover than forest or bare soil cover. Although crows did not show a generalized response to an edge variable, they exhibited greater use of patchy habitat created by human settlements than of native forests. Radio-tagged territorial adults used resources within their home ranges relatively evenly, suggesting resource selection had occurred at a larger spatial scale. The land conversion pattern of new suburban and exurban settlements creates the mix of impervious surfaces and maintained vegetation that crows use, and in our study area crow populations are expected to continue to increase. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

黄瓜根际促生菌的促生效应与防病作用

对黄瓜植物根际促生菌(PGPR)菌株的分离筛选、分类鉴定以及人们对其促生防病作用的应用和防病机制的研究现状进行了综述,以期为新型PGPR制剂的进一步研制、开发和应用提供参考.     

Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry

The poorly integrated cane supply planning between mills and cane growers in the Northeast of Thailand generates an excess of cane supplies that exceeds the mills’ capacity during the peak of harvest season. Each grower individually determines his/her cultivation plan by selecting planting dates and cultivars based on one’s own preference without taking into account the individual mill’s capacity and other growers’ plans. This situation causes most sugarcane grown in this area to reach its mature stage at the same period. In this study, we propose a framework of cultivation planning to cope with the problem. The focus of the cultivation plan is a long-term plan to determine the cultivation time, the cultivar selection and the corresponding prospective harvesting time window for each field such that overall sugar production is optimized.The crop growth model and a mathematical model are employed for yield simulation and optimization task. The crop growth model enables decision-makers to visualize cane production of each individual field at different dates with different cultivars and allow decision-makers to apply the mathematical programming to cultivation planning. The suggested framework has the potential to increase sugar production by 23% when compared to the traditional method.