混雜遺傳性 的英文怎麼說中文拼音 [húnzáyízhuànxìng]
混雜遺傳性 英文mixed inheritance
- 混 : 混形容詞1. （渾濁） muddy; turbid2. （糊塗; 不明事理） foolish; stupid
- 雜 : Ⅰ形容詞（多種多樣的; 混雜的） miscellaneous; varied; sundry; mixed Ⅱ動詞（混合在一起; 攙雜） mix; blend; mingle
- 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）...
- 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
- 混雜 : （混合攙雜） mix; mingle; confounding; sophistication
- 遺傳性 : hereditable character
- 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
The genetic correlations of six agronomic characters in some indica - japonica crosses were analyzed using mixed - linear model method. the results indicated that there existed correlations to a certain degree among the measured traits. the phenotypic correlations of plant height with filled grain or seed setting were significant. panicle length with total grains or filled grain, total grains with filled grain or seed setting, and filled grain with seed setting were the same. for panicle length with plant height or seed setting, total grains with filled, and for filled grain with seed setting, genetic correlations were also significant. further analysis, the result showed that genetic correlations between the measured traits were mainly due to domimant effects. in addition, additive correlations were significant for grain weight with panicle length or total grains or filled grain, and for total grains with filled grain
用混合線性模型方法對秈粳亞種間雜交組合農藝性狀的相關性進行了遺傳研究，結果表明：被測性狀之間大都存在一定程度的相關.其中，株高與實粒數、結實率，穗長與總粒數、實粒數，總粒數與實粒數和結實率，以及實粒數與結實率之間具有顯著的表型相關，總粒數與實粒數，實粒數與結實率，以及穗長與株高和結實率之間具有顯著的遺傳相關.進一步的分析表明，性狀之間的遺傳相關大多歸因於顯性效應，而粒重與穗長、總粒數和實粒數之間，以及總粒數與實粒數之間還具有極顯著的加性相關Monte carlo simulations were conducted to study the new approaches of qtl mapping, the results indicated that general least squares ( gls ) method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance. the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ). the heterosis prediction based on qtl effects was also unbiased
對新提出的qtl分析方法進行了montecarlo模擬研究，結果表明，廣泛應用於混合線性模型的廣義最小二乘法（ gls ）能夠無偏估計加性效應，顯性效應以及加加、加顯、顯加、顯顯上位性效應等各項遺傳主效應；運用線性無偏預測法（ lup ）能夠無偏預測上述各項遺傳主效應與環境的互作效應；基於qtl效應的雜種優勢預測也是無偏的。A study on modeling, scheduling and optimal control problems for a class of hybrid manufacturing systems is investigated. in this framework, the discrete entities have a state characterized by a temporal component whose evolution is described by event - driven dynamics and a physical component whose evolution is described by continuous time - driven dynamics, thus it is a typical hybrid system. not only the optimal control for manufacturing process like that discussed in many references but also the optimal machining sequence are considered in this paper. the whole problem is solved by a two - level optimization method : at the inner loop, for any given machining sequence of the jobs, the optimal control for manufacturing process is considered ; while at the outer level, an improved genetic algorithm is used to decide the optimal machining sequence of a batch of jobs to be processed. finally, some examples are given to illustrate the validity of the algorithm
研究了一類單階段混合製造系統的建模、分析與調度問題，這類系統既包含離散事件動態，也包含連續時間動態，前者用排隊網路描述，後者用微分方程描述.不僅考慮了a這類系統的最優控制問題，而且考慮了工件進入生產線的最優時間，並用一個復雜的優化模型描述，同時給出了一個兩層優化方法，內層給出對給定工件序列的最優控制，而外層用一改進的遺傳演算法求解工件進入生產線的最優時間序列.若干模擬實例說明了演算法的有效性In order to further reduce the complexity of super large - scale integration design and enhance graphical readability, a hybrid genetic algorithm for solving circuit partitioning problem was presented
摘要為了進一步降低超大型規模集成電路設計的復雜性、增強圖形可讀性，提出了一種求解電路劃分問題的混合式遺傳演算法。This paper use ga to figure out the complicated scheduling problem ; the main research concentrates on the following several aspects : ( 1 ) by reading a great deal of documents of scheduling problem and ga, the issue that genetic algorithm being adaptive to solve scheduling problem is introduced ; ( 2 ) hybrid genetic algorithm is adopted to solve a multi - objective job scheduling problem on identical parallel machine and a multi - objective job scheduling problem on non identical parallel machine, and the feasibility and validity of the algorithm is approved by numeric experiment ; ( 3 ) based on the heuristic algorithm of maximizing customer ' s satisfaction for single machine, this issue is extended to parallel machine, and then bring forward a heuristic arithmetic and a virus infective hybrid genetic algorithm
本文應用遺傳演算法求解復雜的生產調度問題；主要在以下幾個方面作了一些研究工作：通過大量閱讀各種生產調度和遺傳演算法的文獻，指出了遺傳演算法適合解決生產調度問題。採用混合遺傳演算法應用在求解多目標等同并行多機問題和多目標非等同并行多機問題，並通過模擬實驗證明演算法的可行性和有效性。在求解極大化顧客滿意數的單機問題的啟發式演算法的基礎上，將此問題擴展為多機問題，提出一種啟發式演算法和一種帶病毒感染的混合遺傳演算法。On the base of analysing the shortcoming of genetic algotithms, three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function, random dislocation arithmetic crossover, fuzzy parameter adjust policy, which improve genetic algorithms capability of global convergence and convergent speed. at the same time, the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization