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1. It was shown that in short - season cotton , the seven traits relating to early maturity all presented dominating additive effect while displaying dominance effects , and epistatic effects from sowing to budding , from sowing to flowering and from budding to flowering ; the early maturity traits significantly interacted with the environments
   結(jié)果表明：短季棉7個(gè)早熟相關(guān)性狀的遺傳均以加性效應(yīng)為主，同時(shí)存在著顯性效應(yīng)，對于播種現(xiàn)蕾、播種開花和現(xiàn)蕾開花還存在著上位性效應(yīng)；短季棉各早熟性狀的遺傳效應(yīng)與環(huán)境互作顯著。
2. It emphasizes on development of ct drive of profibus and ge 90 - 30 plc communication software , and draw a conclusion that using site bus can make the relation between plc and drives more close and can expediently exchange huge amount of data between them , therefore make it possible to realize epistatic control
   本章重點(diǎn)探索了基于profibus的叮馬動器與m90 30plc的通訊軟件的開發(fā)，由此得出了使用現(xiàn)場總線后可以使得plc與驅(qū)動器之間的聯(lián)系更為緊密，可以彼此方便地交換大量數(shù)據(jù)，從而使上位監(jiān)控成為可能。
3. Abstract : in this paper , triple test cross design was used in studing the resistance of soybean to 10 physiological race of cercospora sojina haraby inoculation . results o analysis of gene effects of resistance indicated that additive effect is significant in all the three crosses , dominant effect exsists only in the cross 1 and epistatic effect remains in the cross 2 and cross 3
   摘要本實(shí)驗(yàn)利用三點(diǎn)測交分析的方法,對3個(gè)組合在人工接種大豆灰斑病菌的條件下的抗性表現(xiàn)進(jìn)行基因效應(yīng)分析,各組合均存在加性,組合1存在顯性,組合2 、 3存在上位性。
4. 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(jìn)行了montecarlo模擬研究，結(jié)果表明，廣泛應(yīng)用于混合線性模型的廣義最小二乘法( gls )能夠無偏估計(jì)加性效應(yīng)，顯性效應(yīng)以及加加、加顯、顯加、顯顯上位性效應(yīng)等各項(xiàng)遺傳主效應(yīng)；運(yùn)用線性無偏預(yù)測法( lup )能夠無偏預(yù)測上述各項(xiàng)遺傳主效應(yīng)與環(huán)境的互作效應(yīng)；基于qtl效應(yīng)的雜種優(yōu)勢預(yù)測也是無偏的。