小麦品种间杂种优势与配合力分析

对９个冬小麦亲本１３个性状的杂种优势分析表明,产量性状的杂种优势较强,品质性状的杂种优势较弱。籽粒蛋白质含量、硬度和湿面筋、干面筋含量偏低亲或中亲遗传,沉淀值偏高遗传,存在较明显杂种优势（１６．１－２３．８％）。     

sh-2甜玉米F2籽粒营养品质遗传特点、杂种优势及其亲子回归关系分析

研究了25个sh-2甜玉米自交系及其组配的15个sh-2型F_2籽粒的5个品质性状的遗传特点、杂种优势、亲子回归关系．结果表明,亲本间,除籽粒还原糖含量外,可溶性总糖、蔗糖、淀粉、可溶性蛋白含量是否存在显著差异,对F_2籽粒品质有明显影响．F_2籽粒可溶性总糖、还原糖、淀粉、可溶性蛋白含量近低亲遗传,而蔗糖含量近高亲遗传．杂种F_2籽粒可溶性总糖、淀粉、可溶性蛋白含量普遍介于双亲之间,杂种优势不强;还原糖含量普遍表现为低亲,没有超亲优势;蔗糖含量以超亲为主,有明显杂种优势．亲本对F_2杂交籽粒可溶性总糖、还原糖、蔗糖、淀粉、可溶性蛋白含量均表现为正效应;除还原糖品质外,其他品质性状受父本的影响较大．研究表明,了解sh-2甜玉米亲本营养品质性状,能很好的预测其F_2籽粒营养品质性状,使育种更有目的性．     

小麦籽粒品质性状的杂种优势和相关分析

以6个小麦品种（系）组配的6个杂交组合F1为供试材料,对其籽粒品质性状进行了杂种优化、性状相关和亲子相关分析。结果表明：（1）粉质参数中的形成时间和稳定时间杂种优势最强,分别为56.49％和32.23％;籽粒蛋白质含量和硬度的优势最弱,分别为-2.73％和-0.9046％;沉淀值和湿面筋含量的优势居中,分别为6.88％和5.88％。（2）粉质参数中的吸水率、稳定时间同其它几个指标之间呈显著或极显著相关;沉淀值与籽粒蛋白质含量呈正相关,但不显著,与湿面筋含量呈显著负相关;湿面筋含量与籽粒蛋白质含量呈显著负相关。（3）杂种F1的籽粒Zeleny沉淀值与高亲值,低亲值和中亲值呈显著和极显著正相关;籽粒蛋白质含量和湿面筋含量与高亲值,低亲值和中亲值呈负相关或不相关。     

shsu双隐性甜玉米F2籽粒营养品质杂种优势分析

杂种优势是一种普遍的遗传学现象.甜玉米杂种优势在各性状上有不同程度的表现,该研究采用不完全双列杂交方法按照P(P-1)/2对5个shsu双隐性甜玉米自交系组配的10个杂交组合F2籽粒的4个品质性状的遗传特点、杂种优势进行分析.结果表明:F2籽粒的4个品质性状很难同时达到理想效果,可溶性总糖、蔗糖、淀粉、可溶性蛋白含量受双亲含量的影响较大,基本是近低亲本遗传.为能得到较高的F2籽粒可溶性总糖含量,可尽量选择具有高可溶性总糖含量的亲本;F2籽粒蔗糖、淀粉含量却受父本的影响较大.     

西方蜜蜂王浆产量与品质性状的配合力和杂种优势分析

对蜜蜂杂种F18个组合及其6个亲本的王浆产量和品质性状（台浆量、接受率、王浆产量、酸度）进行了配合力秘杂种优势分析。结果表明：⑴4个性状一般配合力达极显著水平、特殊配合力达显著水平,说明基因加性效应和非加性效应均起作用,但以加性效应为主。⑵乌克兰蜂一般配合力效应高;喀尔巴阡蜂、高加索蜂特殊配合力方差大,均是比较理想的亲本类型;浙农大1号意蜂在台浆量、接受率和王浆产量上一般配合力效应高,是个优良亲本;而卡尼鄂拉蜂只在提高王浆品质时可以利用。⑶4个性状高亲平均优势均为负值,因此利用杂种优质提高王浆产量和品质比较困难,但通过亲本的适当选配,可在维持高产的同时,提高王浆的品质。     

陕西关中地区杂种小麦强优势组合优势型研究

选用在陕西关中地区表现优良且某一农艺性状表现突出的11个冬小麦品种(系),根据农艺性状分为大粒型、多穗型、穗重型和中间型4类,组成6种NCII杂交组合模式,研究不同组合模式的杂种优势,探讨根据农艺性状划分杂种小麦亲本优势型在杂种小麦强优势组合选配中的应用.结果表明:在所组配的6种组合模式中,以大粒×多穗型组合模式表现突出,其杂种优势、超亲优势和超标优势均明显高于其它组合,分别达到了59.9%、37.1%和22.5%,因此,依据杂种小麦亲本农艺性状进行亲本优势型划分可以作为杂种小麦亲本选配的依据之一.在陕西关中地区以大粒×多穗型为杂种小麦强优势组合组配模式.     

shsu双隐性甜玉米F2籽粒营养品质杂种优势分析

杂种优势是一种普遍的遗传学现象。甜玉米杂种优势在各性状上有不同程度的表现,该研究采用不完全双列杂交方法按照P(P-1)/2对5个shsu双隐性甜玉米自交系组配的10个杂交组合F2籽粒的4个品质性状的遗传特点、杂种优势进行分析。结果表明:F2籽粒的4个品质性状很难同时达到理想效果,可溶性总糖、蔗糖、淀粉、可溶性蛋白含量受双亲含量的影响较大,基本是近低亲本遗传。为能得到较高的F2籽粒可溶性总糖含量,可尽量选择具有高可溶性总糖含量的亲本;F2籽粒蔗糖、淀粉含量却受父本的影响较大。     

加工番茄高光效特性与其产量和品质的协调性研究

以6个加工番茄品种为试材,通过盆栽试验对各品种叶片光合色素含量、可溶性蛋白含量、光合特性以及果实产量和相关品质性状进行了鉴定,探讨不同品种光效特性与产量和品质性状的相关关系及其可能机理。结果表明,番茄由苗期进入花期后,各品种叶片光合色素和可溶性蛋白含量均显著增加,叶绿素b和类胡萝卜素比例亦提高,"库"和"源"的增加呈对应关系;各品种的果实产量与花期叶片净光合速率和可溶性蛋白含量呈正相关,与光合色素含量相关性不显著;在本栽培地区和试验条件下,花期‘石红9号’品种的叶片净光合速率和可溶性蛋白含量以及果实产量显著高于其它品种,且其果实Vc含量、番茄红素含量、可溶性糖含量及糖酸比等品质指标也均表现良好,综合性状最优,而‘UC-82’品种的光合色素含量、番茄红素含量和产量等指标均显著低于其它品种。研究发现,加工番茄品种的高光效特征与产量和品质提高具有一定协调性。     

六倍体小黑麦T型细胞质雄性不育体系杂种优势与配合力的研究

用具提莫菲维小麦细胞质的六倍体小黑麦的3个不育系和3个恢复系作为亲本,进行3×3不完全双列杂交,对所组配的F1代8个农艺性状的杂种优势分析结果表明,除千粒重外,其余性状出现正向超亲优势的组合较少,多数呈低亲或中亲遗传,且各组合间的差异比较显著。配合力分析表明,一般配合力与特殊配合力的方差均达到了显著水平,F1各性状均受基因加性效应和非加性效应共同作用;从总体上看,不育系A1、A2及恢复系R1、R2的一般配合力良好,其配制的组合优势较强,具一定的利用价值。对一般配合力与亲本表型值进行了相关分析,二者无显著的相关关系。     

水稻籽粒矿质元素含量遗传及主要农艺性状相关性分析

通过了解水稻子粒钙、镁、铜、铁、锌和硒等矿质元素含量,以绿旱1号作为父本与102S、KD36S、7HS012及7HS013不育系为母本进行配组,对父本与杂交后代主要农艺及经济性状、水稻子粒中的矿质元素含量进行了遗传分析,并对各杂交后代的主要农艺性状和子粒中矿质元素含量以及各矿质元素含量间进行了相关性分析.结果表明,杂交后代农艺及经济性状多数表现出超高亲分离现象,且LK3的农艺及经济性状均表现为最好.水稻子粒矿质元素含量与部分农艺和经济性状存在明显的正相关或负相关关系,且K、Mg、Zn、Se等元素含量与水稻产量密切相关.水稻子粒中矿质元素含量大小依次为P＞K ＞Mg ＞S＞ Ca＞ Mn ＞Fe ＞Zn ＞Cu ＞Se,4个杂交后代的K元素含量表现出超高亲分离现象,LK2、LK3和LK4的Fe元素含量也表现出超高亲分离现象.水稻子粒大量与微量元素之间相关性最高,微量元素之间相关性次之,大量元素之间相关性最小,以7HS012不育系为母本得到的杂交后代农艺性状表现较好,矿质元素含量最高,7HS013次之,其他不育系表现一般.本研究为选育出耐旱及营养价值高的水稻新品种母本的选择提供了理论依据.     

景观指数之间的相关分析

应用辽宁省1997~1998年的TM 5影像数据,编制了景观类型图,以78个县市区为单位,分割成78个景观,共计算39个景观格局指数,对它们进行了相关分析。总面积是最基本的景观指数,它决定景观总边界长度、斑块数、类型密度等基本指数,同时与多个指数有显著的相关关系(相关系数绝对值大于0.75)。形状指数的独立性强,极少数指数与其它指数有显著的相关关系;多样性指数和蔓延度指数之间信息重复量最多,都表示景观的异质性,但多样性指数以面积百分比表示景观异质性,而蔓延度指数以类型之间相邻边界的百分比表示景观异质性。研究发现,如果两个指数之间存在显著的相关关系,而由它们两个构成的指数与它们之间没有显著的相关关系。如果指数平均值之间存在显著的相关关系,则它们的变异系数之间不存在显著的相关关系。景观指数间的相关系数不仅与景观格局本身有关,还与空间尺度,分类系统、计算公式及其参数、计算单元和生态学意义关系密切。指数之间影响因子的相同之处越多,它们之间存在显著相关关系的概率越大。     

General Derivation of Intraclass Correlation Coefficients

A general intraclass correlation coefficient is derived similarly to the general correlation coefficient given by KENDALL (1962). This coefficient II embraces as specific cases three intraclass correlations, related to Pearson's r, Kendall's tau and Spearman's rs, that were dealt with by FISHER (1921), WHITFIELD (1949), SHIRAHATA (1981) and SCHEMPER (1984). Formal relationships are presented and the qualification of the three coefficients for specific applications is discussed.     

Correlations in one-dimensional fully developed chaos

Correlations in the baker map and the tent map as examples of one-dimensional, fully developed chaos are considered. It is shown, utilizing symbolic dynamical systems derived from these maps, that the vanishing second-order correlation function is not sufficient to guarantee uncorrelatedness. Importance of the higher-order, especially third-order, correlation functions is emphasized for chaotic systems. In search of the quantities that grasp correlational behaviors as a whole in chaotic systems, it is proposed to use the fixed-separation correlation integral, which is a modified quantity of the usual correlation integral devised to calculate the fractal dimension of strange attractors, for these maps. It is shown that the new quantity contains all the even-number orders of autocorrelation function that are commonly considered.     

A note on the measurement of redundancy

Plant Ecology - The present paper points out a simpler method for computing the redundancy coefficient proposed by Orlóci (1975) using the inverse of the variance-covariance matrix. It is...     

Cell and tissue deformation measurements: Texture correlation with third-order approximation of displacement gradients

Cells remarkably are capable of large deformations during motility and when subjected to mechanical force. Measurement of mechanical deformation (i.e. displacements, strain) is critical to understand functional changes in cells and biological tissues following disease, and to elucidate basic relationships between applied force and cellular biosynthesis. Microscopy-based imaging modalities provide the ability to noninvasively visualize small cell or tissue structures and track their motion over time, often using two-dimensional (2D) digital image (texture) correlation algorithms. For the measurement of complex and nonlinear motion in cells and tissues, implementation of texture correlation algorithms with high order approximations of displacement mapping terms are needed to minimize error. Here, we extend a texture correlation algorithm with up to third-order approximation of displacement mapping terms for the measurement of cell and tissue deformation. We additionally investigate relationships between measurement error and image texture, defined by subset entropy. Displacement measurement error is significantly reduced when the order of displacement mapping terms in the texture correlation algorithm matches or exceeds the order of the deformation observed. Displacement measurement error is also inversely proportional to subset entropy, with well-defined cell and tissue structures leading to high entropy and low error. For cell and tissue studies where complex or nonlinear displacements are expected, texture correlation algorithms with high order terms are required to best characterize the observed deformation.     

一种基于数学期望的亲子与同胞相关系数的估计方法

本文在对亲本平方和、子代同胞间平方和、同胞内平方和与亲子间乘积和求数学期望的基础上,估计亲子与同胞相关系数,导出了两套不同的亲子与同胞相关系数的估计公式,其中之一与Srivastava（1984）提出的完全一致,但估计方法较之具有直接性,推导过程得到了简化．     

Measuring the flow of molecules in cells

No methods proposed thus far have the capability to measure molecular flow in live cells at the single molecule level. Here, we review the potentiality of a newly established method based on the spatial correlation of fluorescence fluctuations at a pair of points in the sample (pair correlation method). The pair correlation function (pCF) offers a unique tool to probe the directionality of intracellular traffic, by measuring the accessibility of the cellular landscape and its role in determining the diffusive routes adopted by molecules. The sensitivity of the pCF method toward detection of barriers means that different structural elements of the cell can be tested in terms of penetrability and mechanisms of regulation imparted on molecular flow. This has been recently demonstrated in a series of studies looking at molecular transport inside live cells. Here, we will review the theory behind detection of barriers to molecular flow, the rules to interpret pCF data, and relevant applications to intracellular transport.