棉花耐低钾材料的苗期筛选与评价

在棉花苗期沙培盆栽条件下,以棉株生物量、吸钾量、钾利用指数及地上部干物质质量4项指标对38份棉花材料进行了耐低钾材料的评价与筛选。结果表明,各材料耐低钾能力存在较大差异,其中D5、D13、D37材料在低钾胁迫下表现干物质积累多、吸钾量高及钾利用指数高等特点,这3个材料在低钾环境下仍能很好地生长发育,属于耐低钾型材料;而D7、D16、D28、D35、D38等材料则表现恰恰相反,4指标综合表现较差,表明这些材料对土壤缺钾比较敏感,属于低钾敏感型材料。筛选出的耐低钾型材料将作为棉花耐低钾遗传改良的种质资源,也为开展棉花钾营养高效机理的研究提供基础材料和数据。     

Response of Osmotic Regulation Substance Content and Protective Enzyme Activities to Shading in Leaves of Different Rice Genotypes

Effects of shading at the flowering and grain filling stages on osmotic regulation substance content and protective enzyme activities in the leaves of different rice genotypes (e.g.,IIyou 498,Gangyou 188,Dexiang 4103,Gangyou 527 and Chuanxiang 9838) were investigated.The results showed that the malondialdehyde content of Gangyou 188 significantly increased under shading,whereas those of IIyou 498,Dexiang 4103,Gangyou 527 and Chuanxiang 9838 showed no significant differences compared to the control.The soluble sugar content significantly decreased in IIyou 498,Gangyou 188,Dexiang 4103 and Chuanxiang 9838,whereas it did not significantly increase in Gangyou 527 under the weak light conditions (shading).Moreover,the soluble protein content in the leaves of different genotypes tended to decrease under shading.Further,the protective enzyme activities in the leaves varied in different rice genotypes under the shading treatment.Based on the osmotic regulation substance content and the protective enzyme activities in the leaves of different rice genotypes,it was concluded that Gangyou 188 and Gangyou 527 had strong abilities to adapt to the low light conditions.In addition,the mechanism of damage to rice leaves in different genotypes under shading was discussed.     

Parental Selection in Rice Cultivar Improvement

The evaluation of rice (Oryza sativa L.) cultivars assists breeders in identifying useful trait relationships and in selecting parents as donors of specific traits. This study was conducted to compare long-grain rice cultivars using genotype × trait (GT) biplot analysis and determine potential donors of traits related to grain yield and quality. Seventeen cultivars in the 2005 and 2006 Uniform Regional Rice Nursery in Beaumont, Texas, USA were analyzed for 20 traits using GT biplot analysis. The GT biplots showed the diversity among cultivars with regards to yield-related traits. Cultivars recommended as donor parents were: Trenasse, Spring, Presidio, and Cocodrie for high grain yield and head rice rate; Trenasse and Presidio for semi-dwarfness; Banks for tall plant height; Wells for high flag leaf area, panicle weight, and number and mass of filled grains per panicle; Hidalgo for high tiller density; Francis for high number of spikelets per panicle; Spring and Trenasse for short flowering duration; Cheniere for more days to heading and maturity and Spring for less days; and Spring and Hidalgo for high grain weight. Breeders can use these cultivars with specific traits to increase grain yield and quality.     

基于BLUP和GGE双标图的华北落叶松家系区域试验分析

【目的】为综合评价华北落叶松参试家系的速生丰产性、稳定性及各试验地点的区分力和代表性,利用基因型主效加基因型-环境互作效应(GGE)双标图对2017年度华北落叶松区域试验中参试家系的生长数据进行分析。【方法】基于冀北地区4个试验地点26个华北落叶松家系的胸径数据,首先拟合3个线性混合效应模型,各个模型均具有相同的固定效应(“地点”和“地点中的区组”)和残差方差结构(行、列自回归AR1×AR1,以进行空间分析),其中,模型1为随机效应中包含2个公因子的因子分析模型(FA模型),模型2、3分别为随机效应里不含测量误差以及包含测量误差的非结构化矩阵模型(US模型);基于AIC信息准则选出一个最优模型,之后利用最佳线性无偏预测(BLUP)法得到各家系在各地点的胸径BLUP数据;基于胸径BLUP数据做GGE双标图分析,对华北落叶松家系和试验地点进行评价。【结果】基于AIC信息准则,模型3(空间变异结合包含测量误差的非结构化矩阵模型(US模型))被选为最优模型;基于胸径BLUP数据的GGE双标图的前2个主成分的方差解释百分比之和为92.4%,表明结果可靠;4个试验地点被分成2组,地点L1(张家口赤城马营沟)、地点L3(张家口沽源柳条沟)和地点L4(承德围场查字)为一组(以111号家系的胸径最大),地点L2(承德围场御道口)为一组(以78号家系的胸径最大),相对而言,地点L3(张家口沽源柳条沟)能更有效地选择速生丰产且稳定的家系;各家系在不同试验地点上的表现有所不同,总体而言,26个华北落叶松家系中,111号的胸径(产量)最大,接着是78、72、82、76、59、100、77、56、86、96等系号,胸径(产量)最小的是1号,97、116、53、35、46、66和49号等家系的胸径(产量)也较低,68和42号家系的胸径(产量)接近总体均值;96、86、100和76号是速生丰产且稳定的家系,速生丰产家系111、72、56号的稳定性居中,速生丰产家系78、82和77号的稳定性中等偏下,而速生丰产家系59号则不稳定。【结论】模型3(空间变异结合包含测量误差的非结构化矩阵模型(US模型))较另外2个模型而言,结果更为可靠。地点L3(张家口沽源柳条沟)既具高区分力,又具高代表性,能更有效地评价家系。家系96、86、100和76号兼具速生性、丰产性和稳定性,可被广泛推广。基于BLUP的GGE双标图能有效应用于华北落叶松家系及试验地点的评价,本研究可为冀北地区华北落叶松的家系选择和应用提供决策支持。     

Individual polyphenolic profiles and antioxidant activity in sorghum grains are influenced by very low and high solar UV radiation and genotype

Sorghum is becoming more widely recognised around the world as a valuable crop for its polyphenol antioxidant health-promoting properties and adaptation to harsh environments. The antioxidant capacity of diverse polyphenols in sorghum grain can vary with climatic conditions and genotype. To explore this further, the potential role of UV radiation on the profile and concentration of polyphenols was investigated in six diverse sorghum genotypes in a controlled environment facility using natural UV and visible radiation under either UV-transmitting or UV-blocking treatments. The polyphenol content and antioxidant activity were significantly reduced under the UV-blocking treatment, with contents of individual polyphenols differing among the genotypes. This information is valuable for sorghum breeders enabling them to select genotypes and UV growth conditions to produce sorghum grain with target levels of polyphenols and antioxidant capacity for human foods to meet the nutritional and health needs of different consumers.     

Variation and heritability of morphological and physiological traits among Leymus chinensis genotypes under different environmental conditions

Intraspecific trait variation and heritability in different environmental conditions not only suggest a potential for an evolutionary response but also have important ecological consequences at the population, community, and ecosystem levels. However, the contribution of quantitative trait variation within a grassland species to evolutionary responses or ecological consequences is seldom documented. Leymus chinensis is an important dominant species in semi-arid grasslands of China, which has seriously suffered from drought and high temperature stresses in recent decades. In the present study, we measured variation and heritability of 10 quantitative traits, namely the number of tillers, maximum shoot height, number of rhizomes, maximum rhizome length, rhizome mass, aboveground mass, root mass, maximum net photosynthetic rate(Pmax), specific leaf area(SLA), and leaf length to leaf width ratio(LL/LW), for 10 genotypes of L. chinensis under one non-stress(Ck) condition and three environmental stress conditions(i.e., drought(Dr), high temperature(Ht), and both drought and high temperature(DrHt)). Result indicated that(1) the interaction of genotype and environmental condition(G×E) was significant for 6 traits but not significant for the other 4 traits as shown by two-way analysis of variance(ANOVA), suggesting that different selection forces were placed for different traits on the factors dominating phenotypic responses to different environmental conditions. Moreover, these significant G×E effects on traits indicated significantly different phenotypic adaptive responses among L. chinensis genotypes to different environmental conditions. Additionally, individuals could be grouped according to environmental condition rather than genotype as shown by canonical discriminant analysis, indicating that environmental condition played a more important role in affecting phenotypic variation than genotype;(2) by one-way ANOVA, significant differences among L. chinensis genotypes were found in all 10 traits under Ck and Dr conditions, in 8 traits under Dr Ht condition and only in 4 traits under Ht condition; and(3) all 10 traits showed relatively low or non-measurable broad-sense heritability(H_2) under stress conditions. However, the lowest H_2 value for most traits did not occur under DrHt condition, which supported the hypothesis of 'unfavorable conditions have unpredictable effects' rather than 'unfavorable conditions decrease heritability'. Results from our experiment might aid to improve predictions on the potential impacts of climate changes on L. chinensis and eventually species conservation and ecosystem restoration.     

Screening oat germplasm for better adaptation to cold stress in the Southern Great Plains of the United States

Oat (Avena sativa L.) is one of the most important forage crops in the Southern Great Plains of the United States. However, it is more sensitive to cold stress than other small grains. In this study, diverse oat germplasm was evaluated for winter survival across multiple years and locations in the region. Field screening started with an observation trial of 1,861 diverse genotypes in the 2012–2013 season and was followed by four seasons of replicated trials from 2013 to 2017. Selection of good winter survivors was started in 2014–2015 season. All trials were laid out in randomized complete blocks with replications of two in 2013–2014 and 2014–2015, four in 2015–2016, and three in 2016–2017. Winter survival was scored in a 1‐to‐9 scale. Data were analysed for each year and location separately. Additive main effects and multiplicative interaction (AMMI) analysis were carried out on combined data of 35 genotypes that were commonly grown in each year and location. Highly significant (p < 0.001) variations were observed among genotypes, environments and genotype‐by‐environment interaction (GEI). The first three interaction principal components (IPCs) were highly significant (p < 0.001), explaining 96% of GEI. Broad sense heritability ranged from 46% to 93%, while heritability for all environments combined was relatively low (24.6%). At the end of the two cycles (2014/2015‐to‐2016/2017) of selection, mean winter survival was improved by more than 38% per cycle compared with the base population mean. Genotypes CIav 4390, CIav 6909 and CIav 7618 showed significantly higher winter survival than the standard checks Okay and Dallas. Genotypes CIav 4390 showed 20% and 35% improvement over the standard checks Okay and Dallas, respectively. Winter survival improvement in oat will remain a difficult task because of high GEI and low heritability. The identified superior genotypes will be used as crossing parents to transfer cold tolerance genes to other elite lines.     

Screening of diverse cassava genotypes based on nitrogen uptake efficiency and yield

As one of the top three tuber crops of the world, cassava is a staple food and feed crop for tropical and subtropical regions. Because of its high drought resistance and tolerance to nutrient deficiency, cassava is usually cultivated on hilly areas that are nutrient-poor. Nitrogen(N) is one of the significant factors affecting cassava yield. A double factorial(N level×genotypes) split-plot field experiment was conducted to analyze differences in yield and N accumulation of 25 cassava genotypes under low-N conditions to screen for cassava genotypes with high-N efficiency. The two-year field experiment showed that cassava yield and N accumulation are determined by specific genotypes, soil N levels, and year. Among these factors, soil N levels are the main factors that are responsible for differences in cassava yield. When yield and relative N accumulation under low-N conditions were used as screening markers, we identified an efficient and responsive genotype(SC10), and two inefficient and non-responsive genotypes(SC205 and GR5). The efficient and responsive genotype and the inefficient and non-responsive genotype can be used as study materials to further reveal the mechanisms for high-N efficiency in cassava.     

Occurrence of fatal canine Angiostrongylus vasorum infection in Italy

A total of 469 fecal samples were collected from American minks (Mustela vison) on a farm in Hebei Province in China and examined for Cryptosporidium by Sheather's sugar flotation technique and 8 Cryptosporidim isolates were obtained. The partial 18S rRNA, 70 kDa heat shock protein (HSP70), Cryptosporidium oocyst wall protein (COWP) and actin genes of six isolates were sequenced. Sequence data were analyzed together with known Cryptosporidium spp. and genotypes. Results of this multi-locus genetic characterization indicated that the six Cryptosporidium isolates in this study shared the same sequences of the genes studied and were different from known Cryptosporidium species and genotypes. The closest relative was Cryptosporidium ferret genotype with 7, 22, 2 and 2 nucleotide differences in the 18S rRNA, HSP70, COWP and actin genes, respectively. The homology to ferret genotype at the 18S rRNA locus was 99.1%, which is comparable to that between C. parvum and C. hominis (99.2%), or between C. muris and C. andersoni (99.4%). Therefore, the Cryptosporidium in minks in this study is considered a new genotype, the Cryptosporidium mink genotype.