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81.
82.
大豆胞囊线虫(soybean cyst nematode,SCN)严重危害世界大豆生产,Rhg4(resistance to Heterodera glycines 4)是控制大豆SCN抗性的2个主效位点之一。本研究针对Rhg4(Gm SHMT)上的2个单核苷酸多态性(single nucleotide polymorphisms,SNP)位点开发了快速、经济、简便易行的CAPS(Rhg4-389)和d CAPS标记(Rhg4-1165),并用开发的2个标记鉴定了以大豆胞囊线虫应用核心种质为主的193份代表性抗感种质。结果表明,Rhg4-389和Rhg4-1165位点间存在显著连锁不平衡(P=0.0001,r2=0.87),可形成4种单倍型。Rhg4-389-G/Rhg4-1165-T和Rhg4-389-C/Rhg4-1165-A为优势单倍型,稀有单倍型Rhg4-389-G/Rhg4-1165-A和Rhg4-389-C/Rhg4-1165-T是在中国抗源中新发现的单倍型。结合193份种质对SCN 3号小种抗性鉴定分析发现,Rhg4-389-G和Rhg4-1165-T主要存在于抗病种质,它们形成的单倍型对抗病种质鉴定效率可达94.1%。本研究开发了可用于辅助大豆SCN抗性鉴定且方便育种家利用的CAPS/d CAPS标记,且用其摸清了应用核心种质等重要抗源在Rhg4位点的"本底",为育种家有效利用这些优异抗源提供了重要信息。 相似文献
83.
人与自然之间的关系问题是生态环境的根本问题,人既有自然属性又有社会属性,人与自然界既对立又统一,人们改造与利用自然界必须遵循客观发展规律,实现人与自然和谐共处。恩格斯的生态自然观对实现我国人与自然的和谐共处,建设美丽生态中国具有重要的现实意义。因此,要以恩格斯生态自然观为指导,积极开展生态文明教育,树立环保意识;大力倡导绿色消费模式,推动绿色发展。 相似文献
84.
棉花单核苷酸多态性标记研究进展 总被引:1,自引:0,他引:1
单核苷酸多态性标记已在农作物研究中得到广泛应用并取得重大进展。为了便利棉花SNP(Single nucleotide polymorphism)标记的研究和应用,介绍了利用基因芯片、简化基因组测序、重测序等在棉花中开发SNP标记的方法 ,综述了SNP标记在棉花遗传图谱构建、数量位点的定位和分子标记辅助育种、基因组测序以及系统进化等研究中的应用。并对异源四倍体棉花中SNP标记开发时,同源序列位点和部分同源序列位点上的SNP标记辨别问题进行了系统探讨,对其快捷的开发、检测方式和在数量基因定位中的应用前景进行了展望。 相似文献
85.
M. Farooq N. Gogoi S. Barthakur B. Baroowa N. Bharadwaj S. S. Alghamdi K. H. M. Siddique 《Journal of Agronomy and Crop Science》2017,203(2):81-102
Water scarcity is a major constraint limiting grain legume production particularly in the arid and semi‐arid tropics. Different climate models have predicted changes in rainfall distribution and frequent drought spells for the future. Although drought impedes the productivity of grain legumes at all growth stages, its occurrence during reproductive and grain development stages (terminal drought) is more critical and usually results in significant loss in grain yield. However, the extent of yield loss depends on the duration and intensity of the stress. A reduction in the rate of net photosynthesis, and poor grain set and grain development are the principal reasons for terminal drought‐induced loss in grain yield. Insight into the impact and resistance mechanism of terminal drought is required for effective crop improvement programmes aiming to improve resistance to terminal drought in grain legumes. In this article, the impact of terminal drought on leaf development and senescence, light harvesting and carbon fixation, and grain development and grain composition is discussed. The mechanisms of resistance, management options, and innovative breeding and functional genomics strategies to improve resistance to terminal drought in grain legumes are also discussed. 相似文献
86.
不同林龄枫香子代性状变异与家系选择 总被引:5,自引:0,他引:5
对布设在安徽祁门县的首批84个枫香子代测定林,分析比较了9年生与3年生两个不同林龄胸径、树高性状的遗传力和遗传增益等参数,并开展了优良家系选择。结果表明不同时期入选的家系名称、数量及名次出现较大差异,大部分家系胸径、树高性状的家系遗传力、单株遗传力及遗传增益等参数估值,表现为随林龄增大而降低。研究结果为枫香良种选育的适宜林龄提供了参考依据。 相似文献
87.
88.
研究了均值-方差准则下,最优投资组合选择问题.投资者为了增加财富它可以在金融市场上投资.金融市场由一个无风险资产和n个带跳的风险资产组成,并假设金融市场具有马氏调制,买卖风险资产时,考虑交易费用.目标是,在终值财富的均值等于d的限制下,使终值财富的方差最小,即均值-方差组合选择问题.应用随机控制的理论解决该问题,获得了最优的投资策略和有效边界. 相似文献
89.
Landscape Zonation, benefit functions and target-based planning: Unifying reserve selection strategies 总被引:1,自引:0,他引:1
Atte Moilanen 《Biological conservation》2007,134(4):571-579
The most widespread reserve selection strategy is target-based planning, as specified under the framework of systematic conservation planning. Targets are given for the representation levels of biodiversity features, and site selection algorithms are employed to either meet the targets with least cost (the minimum set formulation) or to maximize the number of targets met with a given resource (maximum coverage). Benefit functions are another recent approach to reserve selection. In the benefit function framework the objective is to maximize the value of the reserve network, however value is defined. In one benefit function formulation value is a sum over species-specific values, and species-specific value is an increasing function of representation. This benefit function approach is computationally convenient, but because it allows free tradeoffs between species, it essentially makes the assumption that species are acting as surrogates, or samples from a larger regional species pool. The Zonation algorithm is a recent computational method that produces a hierarchy of conservation priority through the landscape. This hierarchy is produced via iterative removal of selection units (cells) using the criterion of least marginal loss of conservation value to decide which cell to remove next. The first variant of Zonation, here called core-area Zonation, has a characteristic of emphasizing core-areas of all species. Here I separate the Zonation meta-algorithm from the cell removal rule, the definition of marginal loss of conservation value utilized inside the algorithm. I show how additive benefit functions and target-based planning can be implemented into the Zonation framework via the use of particular kinds of cell removal rules. The core-area, additive benefit function and targeting benefit function variants of Zonation have interesting conceptual differences in how they treat and trade off between species in the planning process. 相似文献
90.
Ignacy Misztal Ignacio Aguilar Daniela Lourenco Li Ma Juan Pedro Steibel Miguel Toro 《Journal of animal science》2021,99(6)
Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface. 相似文献