籼型黑米粒形性状的遗传效应及其与矿质元素含量的遗传相关性

采用禾谷类作物种子数量性状的遗传模型,分析了灿型黑米稻品种双列杂交F1和F2种子的粒重,粒长,粒宽和粒长／粒宽等粒形性状的遗传效应及其与米粒中矿质元素Fe,Zn,Mn和P含量的遗传相关性,结果表明：4种粒形性状同时受制于种子直接遗传效应,母体效应和细胞质作用影响,其中种子直接遗传效应比母体效应和细胞质效应的作用更大,且种子直接遗传效应以加性效应占主导,粒重,粒宽和粒长／粒宽的种子直接遗传率较高,杂种早代单粒选择效果较好,粒长的种子直接遗传率和母体遗传率均属中等,较高世代的杂种进行单株选择和单粒选择均有一定效果,4种粒形性状与其米粒中矿质元素Fe,Zn,Mn和P含量表现较强的种子直接加性相关,直接显性相关,细胞质相关,母体加性相关和母体显性相关,在特种稻育种实践中,可以通过粒形性的间接选择,达到改良其矿质元素含量等营养品质性状的目标。     

大豆粒形性状的遗传效应分析

采用双子叶植物种子数量性状的遗传模型,分析了大豆品种双列杂交F1和F2种子的粒重、粒宽、粒厚和粒长／粒宽、粒长／粒厚、粒宽／粒厚粒形性状的遗传效应。结果表明：7种粒形性状同时受制于种子直接遗传效应,而且还不同程度的受制于母体和细胞质效应。其中,百粒重、粒长、粒长／粒宽、粒长／粒厚和粒宽／粒厚的遗传以细胞质效应为主;粒宽和粒厚以母体遗传效应为主。粒重、粒长和粒长／粒宽、粒宽／粒厚的种子直接遗传率和细胞质遗传率均属中等,对其4个性状选择可以在较高世代单株和单粒选择均有效果。粒宽和粒厚母体遗传率数值较大,对其性状应以母体单株为单位早代选择,以增加粒宽和粒厚。P2和P7可作为增加百粒重、粒长／粒宽、粒长／粒厚和粒宽／粒厚的理想亲本;P1、P4和P6分别是提高粒长、粒厚和粒宽的理想亲本。     

玉米籽粒性状的遗传模型研究

用１０个遗传上和籽粒形态性状上具有差异的玉米自交系,依多种可能的交配方法获得亲本Ｐ１、Ｐ２、Ｆ１（Ｐ１× Ｐ２）、Ｆ２、Ｂ１（Ｆ１×Ｐ１）、Ｂ２（Ｆ１× Ｐ２）及其相应反交ＲＦ１、ＲＦ２、ＲＢ１、ＲＢ２共１０个种子世代。种植２年。依广义遗传模型建立包括种子胚乳加性、胚乳显性、母体加性、母体显性和细胞质效应的遗传模型,运用种子数量性状的精细鉴别法［１］和混合模型分析法［２,３］,对粒长、粒宽、粒长宽比、粒厚及百粒重作了性状表达遗传机制的鉴别与探讨。单个组合的遗传模型精细测验表明,５个籽粒性状的遗传主要受母体显性和胚乳基因型（包括加性和灵性）的控制,一个组合的粒宽、粒厚和百粒重上还检测到细胞质效应。对２５对 Ｆ１正反交组合世代均值依ＭＩＮＱＵＥ法分析的结果表明,５个籽粒性状的遗传方差中,母体遗传方差占６０％以上,胚乳基因型方差低于４０％,粒长和百粒重还有细胞质效应,约占１０％～３０％。可见,籽粒性状的遗传特点是受多套遗传系统控制,其中以母体基因型的作用最大。     

水稻籽粒游离氨基酸含量及其产量的种子和母体遗传效应分析

本文利用朱军等提出的禾谷类作物种子数量性状平均数遗传模型,探讨了水稻籽粒游离氨基酸含量及其产量的遗传效应．结果表明：籽粒游离氨基酸含量、游离氨基酸产量除受控于种子直接加性效应外,还受母体植株加性效应和显性效应的作用,且母体效应比种子直接加性效应更重要,其中尤以母体显性效应最重要．2个性状种子直接遗传率和母体遗传率均达显著或极显著水平,狭义遗传率均较高,基因累加选择的同时不能忽视杂种优势利用．游离氨基酸含量与游离氨基酸产量细胞质效应、母体显性效应间存在极显著相关性．     

玉米籽粒性状的遗传效应分析

采用二倍体胚和三倍体胚乳种子遗传模型及其分析方法,以5个玉米自交系及其配制的F1,F2,BC1,BC2世代为材料,研究5个玉米种子性状的胚直接效应、胚乳直接效应、母体效应和细胞质效应。分析结果表明,除粒宽外,各性状的遗传同时由细胞质效应和胚、胚乳、母体基因效应所控制,百粒重主要受胚乳和母体效应的影响,粒长的遗传以母体效应为主,粒宽和粒厚以胚乳效应为主。各部位籽粒百粒重的胚乳直接加性效应与母体加性效应的协方差达到显著或极显著水平,其余性状的胚、胚乳直接效应与母体效应间的协方差均不显著,通过母体植株的遗传表现可以对这些性状进行有效的选择。S22 是改良百粒重的优良亲本。 Abstract：The embryo,endosperm and cytoplasm effects of seven seed traits were studied by genetic model for diploid embryo and triploid endosperm plant seeds using five inbreds and their F1, F2, BC1 and BC2 generations. The estimates of genetic variance components indicated that the inheritance of all other kernel traits was controlled by the four effects except kernel width. The 100?kernel weight was mainly controlled by endosperm and maternal effects , and kernel length was controlled by the maternal effects,while endosperm conrrolled kernel width and kernel thickness. Except the significant or highly significant covariances between the endosperm direct additive and maternal additive effects for 100－kernel weight,all other traits between the embryo or endosperm direct effect and the maternal were not significant. So,maize inbreds could be developed by direct selection based on maternal plants for these traits. S22 was the best inbred of the improvement for kernel weight in this study.     

黑米中矿质元素铁、锌、锰、磷含量的遗传效应研究

采用禾谷类作物种子胚乳数量性状模型,分析黑米稻品种双列杂交Ｆ１和Ｆ２种子的Ｆｅ、Ｚｎ、Ｍｎ、Ｐ含量的遗传效应。结果表明,４种矿质元素含量同时受制于种子直接遗传效应、母体效应和细胞质作用影响。其中,Ｆｅ、Ｚｎ、Ｍｎ含量的种子直接效应比母体效应和细胞质效应的作用更大;Ｐ含量则主要受种子直接加性、母体加性和显性效应共同作用。Ｆｅ、Ｚｎ、Ｍｎ含量的种子直接遗传率较高,在杂种早代分别结合农艺性状选择单株上各     

籼粳亚种间杂交稻米脂肪含量的遗传分析

用包括基因型×环境互作效应的种子性状遗传模型,研究了籼粳亚种间杂交稻米脂肪含量的遗传特性,结果表明：在籼粳杂种中,脂肪含量的遗传表达主要受控于种子直接加性效应和母体加性效应,以前者为主．基因型X环境互作主要表现为显性（包括直接显性和母体显性）X环境以及细胞质X环境工作．直接近传率和母体遗传率都极显著．此外,根据遗传效应预测值对供试条本的利用价值作了评价．     

基因型与环境互作对食用稻米重金属积累特性遗传的影响

采用包括种子、细胞质、母体植株三套遗传体系的种子数量性状的遗传模型和统计方法,分析了食用稻米汞、砷、铬、镉和铅等5个重金属积累特性遗传的基因型与环境互作．结果表明,5个重金属积累除了受制于种子、细胞质和母体植株三套遗传效应外,还明显受到基因型与环境互作效应的影响．在遗传主效应中,汞、铬和铅积累以母体植株显性效应及其与环境互作效应为主．砷和镉积累则以种子直接加性与环境互作效应和母体植株显性与环境互作效应为主,细胞质效应及其与环境互作效应对这2个重金属积累的影响也较为明显．     

籼稻稻米外观品质的细胞质,母体和胚乳遗传效应分析

利用浙协2号A等9个籼型不育系和T49等5个籼型恢复系进行不完全双列杂交,研究了籼稻稻米外观品质的遗传效应．结果表明,稻米外观品质性状的表现受制于胚乳、母体和细胞质三套遗传体系．糙米长、长宽比和长厚比等性状以母体遗传率为主,而糙米宽和糙米厚则以胚乳直接遗传率为主,糙米长和长宽比等性状的细胞质遗传率亦很重要．结果还发现外观品质性状间存在着较强的遗传相关,其中糙米长与糙米宽、糙米长与糙米厚、糙米宽与糙米厚、糙米宽与长宽比、糙米厚与长厚比以及糙米长宽比与长厚比性状间以胚乳直接加性和母体加性相关为主．而糙米长与长宽比、糙米长与长厚比、糙米宽与长厚比以及糙米厚与长宽比性状间则以胚乳直接显性和母体显性相关为主．就外观品质的总体情况而言,遗传效应预测值表明参试亲本以V20A、作5A和测早2-2较好,其各种遗传效应能够显著改善稻米品质性状。V20A／102和作5A／测早2-2等组合具有较好的稻米外观品质．     

稻米碾磨品质性状遗传主效应及其与环境互作的遗传分析

采用包括遗传主效应和基因型与环境互作效应的种子三倍体遗传模型,分析了不同环境条件下籼稻稻米碾磨品质的遗传特性。结果表明,各碾磨品质性状除了受制于种子基因效应、细胞质效应和母体植株基因效应等遗传主效应外,还会明显受到各遗传效应与环境互作效应的影响。其中精米重和精米率两个性状的表现主要是以遗传主效应为主,而糙米重和糙米率则以基因型ｘ环境互作效应为主。在各遗传体系中,除了精米率性状的种子直接遗传效应与环境的互作效应略大于母体植株遗传效应与环境的互作效应外,其他碾磨品质性状的母体植株基因的表达受环境条件的影响程度要大于种子基因。细胞质ｘ环境互作效应对精米重和糙米率的影响也较为重要。遗传效应预测值结果表明,Ｐ７和Ｐ８两个亲本的遗传主效应表现突出,可以明显改良杂交后代多数碾磨品质性状。Ｐ１和Ｐ２两个亲本的碾磨品质性状预测值在两年中的环境互作效应较为－致,不易受到外界条件的影响。上述亲本在水稻品质育种中可加以利用。     

爆裂玉米胚乳数量性状的遗传研究

采用三倍体胚乳种子遗传模型及其分析方法,研究了4个爆裂玉米膨爆特性的胚乳直接效应、母体效应和细胞质效应。结果表明,百粒重、膨化体积的遗传同时由3套遗传体系所控制,百粒重的细胞质、膨化体积的母体和细胞质遗传率较高。爆花率和膨化倍数受胚乳和母体2套遗传体系的影响,且遗传率相近。爆花率和膨化倍数的直接和母体杂种优势均为负值。要组配出优良爆裂玉米杂交种,必须首先选育出膨爆特性突出的自交系,同时还要注意不同自交系的恰当组配。在6个供试自交系中,必须首先选育出膨爆特性突出的自交系,同时还要注意不同自交系的恰当组配。在6个供试自交系中,P3,P4适宜用作母本,P5则适宜作父本。     

水稻亚种间杂交粒重及加工品质性状的遗传效应分析

用4个广亲和粳型品种和5个籼型品种为材料,按NCⅡ设计配制杂交组合,获得同一环境下的亲本及F_1植株上的籽粒群体(F_2),对其稻谷千粒重、糙米千粒重、出糙率、总精米率以及整精米率等粒重和加工品质性状进行测定,并按胚乳性状遗传模型和混合线性模型的分析方法对籼粳亚种间杂交稻粒重及加工品质性状的遗传效应进行了研究,结果表明:籼粳交籽粒的粒重及各加工品质性状同时受到胚乳直接基因效应、母体基因效应以及微弱的细胞质效应的影响,但其主要受制于母体加性效应,并且存在一定的胚乳杂种优势和母体杂种优势;不同亲本品种对于粒重及加工品质性状的遗传改良具有不同的作用.     

Experimental designs and statistical methods for mapping quantitative trait loci underlying triploid endosperm traits without maternal genetic variation

Many endosperm traits are related to grain quality in cereal crops. Endosperm traits are mainly controlled by the endosperm genome but may be affected by the maternal genome. Studies have shown that maternal genotypic variation could greatly influence the estimation of the direct effects of quantitative trait loci (QTLs) underlying endosperm traits. In this paper, we propose methods of interval mapping of endosperm QTLs using seeds of F2 or BC1 (an equal mixture of F1 x P1 and F1 x P2 with F1 as the female parent) derived from a cross between 2 pure lines (P1 x P2). The most significant advantage of our experimental designs is that the maternal effects do not contribute to the genetic variation of endosperm traits and therefore the direct effects of endosperm QTLs can be estimated without the influence of maternal effects. In addition, the experimental designs can greatly reduce environmental variation because a few F1 plants grown in a small block of field will produce sufficient F2 or BC1 seeds for endosperm QTL analysis. Simulation studies show that the methods can efficiently detect endosperm QTLs and unbiasedly estimate their positions and effects. The BC1 design is better than the F2 design.     

Inheritance of kernel row number, a multicategorical threshold trait of maize ears

Information about the inheritance of threshold traits is scarce, especially in plants. We examined the genetic control of kernel row number in maize (Zea mays). Knowledge of this inheritance is especially important because it is a primary component of grain yield. This trait has a discontinuous distribution. Characters like these are conceptualized as threshold traits. Crosses were made between the inbred line Geneze 3 (G3) with many kernel rows and the inbreds Argentino IV (A4) and Dente de Cravo (DC), with fewer kernel rows. The F(1) and F(2) generations and the backcrosses BC(11) and BC(21) were obtained for the combinations G3 x A4 and G3 x DC. These populations were evaluated under field conditions, and the kernel row number was determined by direct counting of approximately 14, 140 and 75 ears for the F(1), F(2) and backcrosses, respectively. Genetic control was determined through estimates of generation means and variance analysis and was also performed by Wright's method for threshold traits. It was found that genetic control is predominantly due to additive alleles. The component a, was greater than zero, additive variance was positive and the variance of dominance did not differ from zero. In the F(2) generation, the range of the kernel row number was 10 to 28 in G3 x A4, while in G3 x DC it was 12 to 26. Inheritance of the number of kernel rows, estimated by the two methods, gave similar results. This correspondence is due to adjusting of the data to the normal distribution.     

母体遗传效应对青海细毛羊生产性能遗传参数估计的影响

为了研究母体遗传效应对青海细毛羊生长性状、产毛性状的影响,文章采用平均信息最大约束似然法应用不同混合动物模型估计青海细毛羊生产性状的遗传参数,并采用似然比检验对不同模型进行比较分析。各模型中均包括固定效应、个体直接加性遗传效应、残差效应;随机效应为:个体永久环境效应、母体遗传效应、母体永久环境效应。不同模型对随机效应作了不同考虑:模型1不考虑个体永久环境效应、母体遗传效应、母体永久环境效应;模型2考虑母体永久环境效应;模型3考虑母体遗传效应;模型4考虑母体遗传效应和母体永久环境效应;模型5考虑个体永久环境效应和母体遗传效应;模型6考虑个体永久环境效应、母体遗传效应、母体永久环境效应。各模型估计的初生重遗传力为:0.1896~0.3781;断奶重遗传力为:0.2537~0.2890;周岁重遗传力范围:0.2244~0.3225;成年羊体重遗传力范围:0.2205~0.3983;产毛量遗传力为:0.1218~0.1490;羊毛细度遗传力为:0.0983~0.4802;羊毛长度遗传力为:0.1170~0.1311。与模型1相比,模型3对于初生重、断奶重差异显著(P<0.01),对于周岁重、成年羊体重各模型与模型1的似然比检验差异不显著(P>0.05);与模型6相比,模型4、5对于羊毛细度差异显著(P<0.01),模型4对羊毛长度差异显著(P<0.05),对于产毛量各模型与模型6似然比检验差异不显著(P>0.05)。生长性状中初生重、断奶重受母体遗传效应影响显著,周岁重、成年羊体重受母体遗传效应影响不显著;产毛性状中羊毛细度、长度受母体遗传效应影响显著,产毛量受母体遗传效应影响较弱。     

Diallel Analysis of Growth Traits in Mice

Two replications of a complete diallel cross experiment were performed among four partially inbred lines of mice. These inbred lines originated from a random-bred ICR strain and were produced by 12 generations of full sibbing (F congruent to 92%). Individual body weight was recorded for each animal at 12, 21, 42 and 56 days of age. Body weight gain traits were examined for intervals 12-21, 21-42 and 42-56 days. Simultaneous least squares analyses of inbred and linecrossed groups were used. Sex differences were highly significant for all traits. Replicate differences were significant but made a small contribution to the total variation. Inbred lines differed greatly. Crosses showed growth trends similar to their contemporary maternal and paternal inbreds. Heterosis was highly significant for all traits except 21-day weight. Inbreds were heavier at 12 days of age, but linecrossed progeny were superior to inbreds for all postweaning weights. General combining ability was highly significant for 12- and 56-day weights and 21-42-day gain. Specific combining ability was highly significant for 21-day weight, 12-21- and 42-56-day gain. Significant maternal effects were found for all individual weights but not for 12-21- and 21-42-day gain. Residual reciprocal effects were significant for all traits. Estimated variances among linecrossed groups contained a large maternal component, a fluctuating additive genetic component and consistent non-additive genetic influence on all growth parameters measured.