遺傳潛值 的英文怎麼說

中文拼音 [yízhuànqiánzhí]
遺傳潛值 英文
genetic potential value
  • 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）...
  • 潛 : Ⅰ動詞1 （隱在水下） go underwater; hide under water; dive 2 （隱藏） hide3 [書面語]（涉水） wade ...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. Genetic material of actual or potential value

    指具有實際或潛在價值的遺傳材料。
  2. Some advances in molecular genetics of flower development werereviewed. the application of the genes controlling flower development was mainly discussed in the breeding of ornamental plants

    花發育分子遺傳學的研究是花卉育種的重要基礎之一，該文在簡要回顧了當前花發育的分子遺傳學的部分成就的基礎上，對其在花卉育種，尤其是在花期育種中潛在的價值進行了展望
  3. To explore the potential values of autopolyploid rice, the authors thought that it was worth studying mere in the following four aspects : the possibility in direct utilization of autotetraploid rice, the possibility in utilization of heterosis of autotetraploid rice, the possibility in transfer of allogenic substances and the enrichment of rice gene by using autopolyploid rice en the bridging parent, and the genetic tides of important characters in autopolyploid rice

    為了挖掘同源多倍體水稻的潛在利用價值，在今後的研究中有如下4條途徑值得探索，即探索直接利用同源四倍體水稻的可能性、探索利用同源四倍體水稻雜種優勢的可能性、探索以同源多倍體水稻為橋梁完成異源遺傳物質轉移和豐富水稻基因庫的可能性探索同源多倍體水稻特徵特性的遺傳規律。
  4. Includes genetic resources, organisms or parts thereof, populations, or any other biotic component of ecosystems with actual or potential use or value for humanity

    是指對人類具有實際或潛在用途或價值的遺傳資源、生物體或其部分、生物族群、或生態系統中任何其他生物組成部分。
  5. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
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