遺傳變量群體 的英文怎麼說

中文拼音 [yízhuànbiànliángqúntǐ]
遺傳變量群體 英文
genetically variable population
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 群 : Ⅰ名詞（聚在一起的人或物） crowd; group Ⅱ量詞（用於成群的人或物） group; herd; flock
  • 體 : 體構詞成分。
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 群體 : 1. [生物學] population; colony2. [社會學] group
  1. So must use information theory method depict and abundant the genetic diversity index system. in addition to, the introduce of molecule biology technology and the research of nucleotide sequence evolutive give a new method for population genetic, so must do deeply research about the analysis method of dna sequence data = the research main about the follows : there are three parts about the information model of population genetic : one about the shannon information entropy property of equilibrium population and the entropy change in the process of establish equilibrium ; another research is about the diversity measure - ment of genetic variation ; lastly, research the shannon information measurement about the disequilibrium gene variation. the result is : 1 to a definite gene distribution, the genotype entropy reach the maximum at the equilibrium population, the process of population from disequilibrium to equilibrium, the entropy get large and large

    此外，分子生物技術的介入及核苷酸序列進化的研究都為群體遺傳學的深入研究提供了新的途徑，但關于dna序列數據的分析方法需要作進一步的研究。本研究主要體現在以下幾個方面： （一）關于群體遺傳學的信息論模型研究，主要分為三部分內容：一是群體平衡的shannon信息熵的性質和群體平衡建立的熵變性質；二是群體遺傳多樣性測度的研究；三是非平衡群體的基因變異測量shannon信息量的方法研究。得到了如下結論： 1 、平衡群體的shannon信息熵最大，群體平衡的過程是熵的增大過程。
  2. Twenty f1 combinations crossed among 5 varieties and strains different in fiber properties according to complete diallel crossing design were used to evaluate the heterosis and gene action of boll weight and lint percentage in high quality fiber property varieties in upland cotton in 1998 1999 for two year successively at nanjing. it was indicated that there existed small interactions with the environmental factors without maternal effects and the additive gene effect was in chief, attaining to 51. 2 % and 65. 4 % respectively for boll weight and lint percentage. the dominant effect was also in higher rate, 32. 6 % and 16. 8 % respectively. the population mean heterosis of boll weight and lint percentage over the mid - parental mean were relatively prominent 13. 3 % and 3. 5 % respectively in extreme significance. however, boll weight showed no significantly surpassing parental f1 heterosis over the better parent based on population mean ( 2. 0 % ) ; while the lint percentage expressed significant negative heterosis value ( - 2. 1 % ). the gene actions were in conformity with the heterosis expression. it was shown clearly that the f1 combinations crossed between parents with similar performances had relatively high dominant effects and significant positive f1 surpassing parental heterosis ( f1 heterosis over the better parent ) ; while no f1 combination crossed between the parents with prominent mutual difference surpassed the higher parent in yield components, which indicated that among those parents with less difference and close relationships, there still existed sufficient genetic variation or certain mechanism for creating variation and achieving greater advances in breeding. correlation analyses also indicated that there still existed severely undesirable negative correlation between yield and fiber properties as well as the difficulties for their simultaneous improvements

    利用5個具有不同纖維品質性狀的品種（系）配製完全雙列雜交組合20個，通過親本和f1的2年隨機區組試驗發現產量性狀的鈴重和衣分與環境的互作效應小，不存在母體效應，並以加性遺傳效應為主，分別占表型方差的51 . 2 %和65 . 4 % ;顯性遺傳效應所佔的比率也較高，分別為32 . 6 %和16 . 8 % .鈴重和衣分的群體平均優勢較大，分別為13 . 3 %和3 . 5 % ，達到了極顯著;鈴重的超親優勢為2 . 0 % ，不顯著;衣分為顯著的負值（ - 2 . 1 % ） .遺傳分析與雜種優勢結果一致.具體表現在產量性狀上，親本相當配製的組合雜合顯性較高，其超親優勢正向顯著，而極值親本（差異較大）所配組合沒有超過高親的.這表明親本差異小、親源關系較近的親本中仍然存在足夠的遺傳變異或某種機制以創造變異使育種取得更大的進展.相關分析表明了仍然存在嚴重的品質與產量的負相關，遺傳改良的難度較大
  3. The theory and the implementation of the genetic algorithms are discussed in detail. the question on how to choose the crossover probability, the mutation probability, the scale of population and the numbers of the generation is discussed. then, the mathematics model of the optimal design is established

    詳細介紹了遺傳演算法的理論和實現技術，探討了交叉概率、變異概率、群體規模、進化代數等變量的選取問題，建立起了基於遺傳演算法的深基坑支護結構設計的優化模型，結合彈性地基梁有限元法，利用fortran語言編制了gafortran優化程序，程序中包括普通遺傳演算法和改進遺傳演算法。
  4. Mint total dna was transferred into a. thaliana mediated by ion beam with the influence of 0. 5 10 1. 5 1017 and 2. 5 1017 ions / cm2, respectively, which were on the bridge of saddle. among three transferred populations, their budding, seedling, growth and phenotypic variation took on obvious difference. combining these facts, the influence of 1. 5 1017ions / cm2 was decided as transformation influence of the following work

    我們從另外一個角度出發，在離子注入劑量-擬南芥菜存活曲線的基礎上，選擇不同的離子劑量介導薄荷全dna轉化擬南芥菜，根據各個轉化群體在遺傳和生理上的不同變化，選擇1 . 5 10 ~ （ 17 ） ions cm ~ 2作為我們以後轉化工作的轉化劑量。
  5. As a whole, the result of population genetic structure detected by rapd and issr was consistent, yet there was a little difference between intra - population genetic diversity. this was mainly because of the ability of detecting genetic variance of the two techniques

    5 ? rapd和issr對于群體遺傳結構的分析結果是一致的，但是在群體內的遺傳二」多樣性上略有差異，這主要是因為兩種技術的對遺傳變異的檢測能力不同，同時在進行群體遺傳分析時issr的取樣量偏少也是影響這個結果的一個主要原因。
  6. This dissertation defines two parameters based on the diversity measure as the input of the flc which is used to control the ga ' s crossover probability and mutation probability

    本文從群體多樣性的角度出發，定義了兩個參數作為模糊邏輯控制器的輸入變量，輸出為遺傳演算法的交叉概率和變異概率。
  7. ( 4 ) the results of qtl mapping indicated that the inheritance of yield traits was very complex, the explanation as follows : additive effects except for sterile spikelet number per spike ( ssns ), qtls of additive effects were tested for all other traits, with 10 qtls for 1000 grain weight ( kgw ). the large variance of the effect values and the contribution rate of qtls indicated that the effects are difference for different qtls

    14 。 （ 4 ）通過對產量性狀qtls作圖，發現產量性狀的遺傳非常復雜，可以從4個方面說明：加性效應除不孕小穗數外，各性狀均檢測到了表現加性效應的qtls 。其中，在各環境聯合分析下，檢測到了10個千粒重qtls ，各qtls的加性效應值和對群體變異的貢獻率也存在很大差異，說明不同的qtls不是等效的。
  8. The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent. the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching

    本研究將信息嫡引入遺傳演算法以度量種群的多樣性;當判斷其發生過早收斂時，則通過「大變異」操作來引入新個體，從而有效緩解了成熟前收斂的發生，提高了演算法搜索的范圍與效率。
  9. Ga has the common shortcomings while applied in large - scale network, such asconsuming huge calculation time, easy to be trapped by local fninimize and not so goodability of searching local optimal solution. the pseudo - parallel ga technology and adaptivechanging population size are used to generate ndtial populaton, thus elevating the quality ofinitial population and furthermore improving optimal solution, voltage / reactive is of localcharacteristic in actual power system, and this fetch oul decomposing sub - area ga accordingto network natural management region

    提出採用變群體規模的偽并行遺傳演算法獲得初始解群體，極大地改善了初始解群體的質量；根據無功/電壓問題的區域性特點，按照電網的自然管理分區，實現了遺傳演算法的分區分解計算；將常規的二次規劃模型的無功優化方法與遺傳演算法有機地結合，構成了獨具特色的混合遺傳演算法。
  10. This algorithm makes use of these characteristics and is improved according to the practical characteristic of communication system. not only the early converge problem of genetic algorithm is avoid, but also the optimize solution in the colony is reserved. meanwhile mountain climbing performance of simulated annealing algorithm is used to improve the performance of genetic algorithm

    該演算法利用遺傳方法適于多變量數值求解、有較好的兼容性及模擬退火演算法有很好的加速性，結合通信系統的實際特點進行改進，不但避免了遺傳演算法的早熟收斂問題，同時使群體中的最優解得到了保留，並利用模擬退火演算法的爬山性能改善了遺傳演算法的性能。
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