不同品种和地区对稻米镉含量与品质的耦合影响

为了研究不同水稻品种在不同种植地区的稻米镉含量及其与品质的关系,以分别种植在湖南长沙和广东惠州的‘齐丰占’、‘湘直粳’、‘玉香油占’等46个不同遗传背景的水稻品种(系)为研究对象,采用原子吸光光谱法测定稻米镉含量和FOSS全自动流动注射仪测定米质各性状指标。结果表明:(1)不同基因型水稻品种的镉积累存在极显著水平的品种间差异,在长沙地区种植稻米平均镉含量大约是惠州地区的两倍。(2)不同水稻品种(系)在惠州地区种植的稻米品质明显优于长沙地区。(3)不同水稻品种(系)在长沙地区种植的精米镉含量与胶稠度、蛋白质含量间具显著相关性;而在惠州地区主要与糙米率、精米率呈显著水平的负相关;与其他米质性状的相关性均未达显著水平。惠州地区稻田环境更利于种植水稻,‘湘晚12选32’、‘湘晚籼12号’、‘湘晚6选31’等为低镉积累品种,可推广;‘佳福占’、‘9311选’、‘R云育90’等镉含量已超过国标,不可作为生产推广品种。     

基于GIS的低温冷冻灾害风险性评估

为了提高低温冷冻灾害的防御能力,为政府部门制定防灾减灾规划提供科学依据。本研究基于自然灾害形成机理及风险评估原理,以济南市长清区为例,利用气候资料、历史灾情数据、地理信息数据及社会经济等资料,采用层次分析法和加权综合评价法,借助GIS空间分析技术,通过对致灾因子危险性、敏感性、易损性和防灾减灾能力4个评价指标的空间评价,实现了对长清区低温冷冻灾害的风险性评估和综合区划。结果表明：长清区低温冷冻灾害总体表现为空间化强,没有规则的分布规律,综合风险性总体水平较高。文昌街道办事处、五峰山街道办事处、双泉乡的部分地区综合风险性最高,属于低温冷冻灾害的重点防御区域;轻、低风险主要分布在平安街道办事处、万德镇、马山镇、崮云湖街道办事处的部分辖区。该评估结果将对本地区农作物的种植规划及灾害防御措施的制定提供参考依据。     

中子辐照对锆合金显微组织的影响研究进展

作为反应堆的第一道安全屏障,锆合金包壳材料的显微组织一直是国内外的研究热点。针对目前国内外在中子辐照对锆合金显微组织的影响研究领域现状进行了综述,总结了现有研究的不足并提出了对未来研究方向的建议：采用微观分析手段,针对不同中子注量下锆合金包壳的第二相、氢化物和氧化膜展开研究,获得其在实际使用工况下的演变规律,为我国锆合金包壳材料的优化改进提供支撑。     

含水率和颗粒级配对稍密碎石土抗剪性能及地基承载力的影响

碎石土因特殊的工程特性而被科研人员关注,但对大粒径、粉质粘土填充、稍密状态下碎石土的力学性能涉足较少。根据该类型碎石土特点及大量勘察结果配置出两种比较典型级配的稍密碎石土,通过大型直剪试验仪测定了不同含水率状态下碎石土试样的抗剪强度,绘制剪应力与水平位移的关系图,通过一元回归得出稍密碎石的抗剪强度指标c、φ值,分析了不同含水率、不同级配对稍密碎石土抗剪性能的影响。结果表明：随着含水率的增大,碎石土粘聚力总体呈减小趋势,但变化趋势具有显著的阶段性且和粉质粘土的含量有关,含水率变化对碎石土内摩擦角的影响较小。用规范推荐方法计算了该类型碎石土地基承载力,并与地方规范经验取值和勘察工程实践取值进行了对比,结果表明：含水率对地基承载力影响较大,且与碎石土填充物的粉质粘土含量有关,粉质粘土含量越高,承载力影响越大。     

Identifying and exploring significant genomic regions associated with soybean yield,seed fatty acids,protein and oil

Soybean [Glycine max (L.) Merrill] yield and seed fatty acids, protein, and oil content are important traits for which an improved understanding of significant genomic regions would be useful. To accomplish this, a soybean population consisting of 203 F5 derived recombinant inbred lines (RILs) was developed and genotyped with 11,633 polymorphic single nucleotide polymorphisms (SNPs). Each RIL was grown in a single plot at Knoxville, TN in 2010; followed by replicated, multi-location field trials in 2013 and 2014. The data from 2010, 2013, and 2014 were analyzed together in order to detect quantitative trait loci (QTL) for these traits, and 30 total QTLs were detected. Five QTLs are candidates for confirmed status and one QTL is a candidate for positional confirmation. Many of the genes with mutations in close proximity to the fatty acid QTLs are involved in biological processes for fatty acids and/or lipids and could be considered possible candidate genes. Similarly, genes with mutations in genomic regions near yield, protein, and oil QTLs were plentiful and may contribute to the variation observed in these traits. Except for yield and stearic acid, each trait displayed pleiotropic effects with other traits in this study. Notable are the pleiotropic effects for oleic and linolenic acid on chromosomes 9, 13, and 19. Overall, the findings from this research contribute new information to the genetic understanding of soybean yield and seed fatty acids, protein and oil content. This understanding will be useful in making trait improvements.     

Nonparametric phenotypic stability analysis in advanced barley (<Emphasis Type="Italic">Hordeum vulgare</Emphasis> L.) genotypes

The development of genotypes with adaptation to a wide range of environments is one of the most important goals of plant breeding programs. In order to compare nonparametric stability measures and to identify promising high-yield and stable barley (Hordeum vulgare L.), 20 barley genotypes selected from the Iran/ICARDA joint project and grown in nine environments during 2009-11 in Iran. Four nonparametric statistical tests of significance for genotype × environment (GE) interaction and 10 nonparametric measures of stability were used to identify stable genotypes in nine environments. Results of nonparametric tests of G×E interaction (Kubinger, Hildebrand, and Kroon/ Laan) and a combined ANOVA across environments, indicated the presence of both crossover and non-crossover interactions. Also, only TOP and rank-sum values were positively associated with high yield. Thus, in the simultaneous selection for high yield and stability, only the rank-sum and TOP methods were useful in terms of the principal component analysis results, and correlation analysis of nonparametric stability statistics and yield. According to these stability parameters (TOP and rank-sum), three genotypes (G13, G12, and G17) were the most stable for grain yield. The results also revealed that based on nonparametric test results, stability could be classified into three groups, according to agronomic and biological concepts of stability.     

Genotype by environment interactions (GEIs) for barley grain yield under salt stress condition

Changes in the relative genetic performance of genotypes across environments are referred to as genotype × environment interactions (GEIs). GEIs can affect barley breeding improvement for salt tolerance because it often complicates the evaluation and selection of superior genotypes. The present study evaluated the GEIs over 60 barley genotypes for yield components and grain yield in six salinity environments in North Delta, Egypt. Data were analyzed using the additive main effects and multiplicative interaction (AMMI) and Tai’s stability parameters. GEIs effects on yield explained 20.3, 20.1, 14.6, and 33.0% of the total variation besides, the first two principal components account for 67.3, 56.3, 64.3, and 83.7% of the explained variance in the four sets, respectively. Six genotypes namely G-4, G-7, G-20, G-34, G-36, and G-39 were found to be most stable and high yielding across environments (GY >2.00 t ha^-1), and located close to zero projection onto the AEC ordinate. Tai’s stability parameters demonstrated that these genotypes were more responsive to the environmental changes. The genotypes G-50 and G-53 showed perfect/static stability (α = -0.95, -0.91, respectively). In contrast, the genotype; G-36 had α = 0 and λ = 1.10, indicating parallel with the environmental effects followed by G-44. Overall, we found that GEIs for grain yield are highly significant in all sets, suggesting that responded differently across environments. This interaction may be a result of changes in genotypes’ relative performance across environments, due to their differential responses to various abiotic factors.     

Evaluation of carbon sources,gelling agents,growth hormones and additives for efficient callus induction and plant regeneration in Indian wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) genotypes using mature embryos

Various factors affecting in vitro regeneration like different carbon sources, different gelling agents, and growth additives were assessed comprehensively for callus induction and plant regeneration for five Indian wheat cultivars using mature embryos as the explants for the first time. The tissue culture responses of cultivars WH-1105, HD-2967, and PBW-343 have not been reported earlier. Besides, the effect of different concentrations of the cytokinin, zeatin has also been optimized. Using the optimized factors, the efficiency of five different varieties, i.e., HD 2967, C 306, RAJ 3765, WH 1105, and PBW 343 was evaluated for regeneration. Modified MS basal medium containing dicamba reduced precocious germination of the embryo and induced embryogenic callus more efficiently. Removal of embryogenic calli from non-regenerable structures during early callus phase improved plant regeneration. These calli on zeatin (1.0 mgl^-1) and dicamba (0.1 mgl^-1) containing medium showed the highest regeneration frequency (98%) with a maximum of 8-9 shoots per calli. Maltose had the maximum callusing and regeneration percentage than other carbon sources. Various gelling agents did not have any significant difference on the regeneration. Of all the varieties, C-306 and HD-2967 were found to be more regenerative and can be used in transformation experiments.     

Exploring diversity among rice germplasms based on their physiological traits responses to salinity

Salinity is one of the major abiotic stresses that severely effects rice production throughout the world. Previously, there have not been many studies which focused on studying diversity among rice germplasm based on specific physiological traits for salt tolerance. Our diversity study was based on physiological traits such as Na+ concentration, K⁺ concentration, K⁺/Na⁺ ratio, osmotic potential, and biomass which are major components determining salt tolerance. This study has systematically analyzed phenotypic data of 191 germplasms in two different salt concentrations apart from the control. The current study identified salt tolerant germplasms based on their response to a single physiological trait as well as a combination of different physiological traits. Some of the germplasm identified outperformed known salt tolerant cultivar Pokkali. This study identifies correlation among various physiological traits. The salt tolerant germplasms can be taken forward into developing better varieties by conventional breeding and exploring genes for salt tolerance.     

Prediction of parental combination for introduction of stay-green associated loci in wheat

In wheat, the increase of yield and stability associated traits can be achieved by combining parents containing the stay-green trait and favorable alleles for grain yield. The aim of this work was to analyze the genetic dissimilarity between wheat lines from stay-green and synchronized maturation groups and elite cultivars. Moreover, to propose promising combinations seeking the selection of high-grain yield and high bread-making quality genotypes containing stay-green trait. The experiment was conducted in a randomized block design with three replications in 2003, 2004, and 2005, using sister-lines with the presence and absence of stay-green trait and elite cultivars. Genetic variability exists among wheat strains from the synchronized stay-green maturation group and elite cultivars. Genotypes of maturation group stay-green obtained an average performance superior to the synchronized group. Crosses between stay-green lines and the CEP 29 and BRS 177 cultivars are promising in the selection of genotypes carrying the stay-green trait with high yield and bread-making quality.