高油酸花生品种开农1760产量及其构成的可视化分析

分析高油酸小粒花生品种开农1760的产量及其与农艺性状的关系,为高产优质育种提供有效指导。本研究以开农1760参加的2014-2015年河南省小粒花生区试数据为基础,运用GGE (genotype+genotype-by-environment interaction)双标图评价其丰产性和稳产性,利用R语言进行可视化的相关分析和通径分析。结果显示,开农1760的丰产稳产性综合排名第一,出米率的变异系数最小,饱果率与产量呈极显著正相关,百果重、单株生产力、百仁重、主茎高、侧枝长和结果枝数与产量呈显著正相关,结果枝数的直接通径系数最大,是影响开农1760荚果产量的关键性状。综上所述,开农1760丰产性好、稳定性强,适合在河南省大面积推广利用;在选育小粒花生新品种时可侧重做好对结果枝数的选择。     

Biplot analysis of trait relations of white lupin in Spain

A 2-year study of autumn-sown white lupin (Lupinus albus L.) was conducted under rainfed Mediterranean conditions in southern Spain. 108 landraces were evaluated for yield and major phonological and plant structural characteristics. Path coefficient and Genotype-Trait (GT) biplot analysis were used. Applying both types of analyses to the multiple trait data revealed that GT biplot graphically displayed the interrelationships among traits and facilitated visual comparison of accessions and selection. Wide variation was observed for trait phenology (dates of flowering and maturity), plant structure (plant and first order inflorescence height) and yield characters (first order branches, first order inflorescence and total yield). It was found that the accessions with the highest yields were the tallest and the latest to flower, both on the mainstem and on the lowest first order branch, and also were the latest to mature. GT biplots also had suggested as the accessions have been displayed according to their origins. The results showed that foreign germplasm may be an important material for improving some yield components such as number of pods and seeds per plant of locally adapted lupins in Spain. This revised version was published online in July 2006 with corrections to the Cover Date.     

基于GGE双标图和比强度选择的棉花品种生态区划分

由于农作物品种区域试验是品种审定和推广应用的前提,而区域试验中基因型与环境的互作效应是普遍存在的,因而探索和利用试验环境在鉴别基因型遗传差异和对品种在目标环境中的平均表现代表性方面的作用以辅助品种选育和推广的问题,越来越受到植物育种家和农技推广人员的高度关注。我们采用GGE双标图分析方法对2000—2010年期间27组长江流域国家级棉花品种区域试验的目标环境中可能存在的基于棉纤维比强度选择的品种生态区进行探索与划分,并对品种生态区划分结果进行信息比(IR)校正,以提高品种生态区划分的可靠性。结果表明:(1)基于纤维比强度选择的GGE双标图分析的总体有效拟合度为68.4%,其中有13次出现过度拟合或拟合不充分现象,总体拟合可靠性一般。而基于IR-GGE模型的总体拟合度为73.7%,比GGE双标图的有效拟合度提高6.0%,说明采用IR对双标图分析的结果进行优化和校正可以提高品种生态区划分的可靠性。(2)根据GGE双标图分析结果,我国长江流域棉区大致可划分为4个基于纤维比强度选择的品种生态区,第1个品种生态区包括安庆、襄樊、南通和岳阳,第2个品种生态区包括常德、九江和武汉,第3个品种生态区包括慈溪、南京、黄冈、荆州和盐城,第4个品种生态区包括南阳、简阳和射洪。而基于IR较正的GGE模型则可划分为3个品种生态区:第1个为主体品种生态区,包括安庆、武汉、九江、襄樊、南阳、岳阳、常德、黄冈、荆州、南京和慈溪11个试验点,第2个品种生态区包括南通和简阳,第3个品种生态区包括盐城和射洪。IR校正后长江流域棉区的品种生态区划分更准确可靠,地理区域特性也更明显,说明地理环境因素对纤维比强度的选择效果仍然有很大的影响力,四川盆地棉区和江苏沿海棉区并不适宜开展针对整个长江流域棉区的广适性棉花纤维比强度选择,从而为长江流域棉区棉花纤维比强度的选择和推荐策略提供了科学的决策依据。     

长江流域国家棉花区域试验审定品种的主要特征特性演变分析(英文)

[目的]采用GGE双标图方法分析历年长江流域棉花区域试验中通过国审的棉花品种的特征特性,探索棉花品种类型和特征的演化趋势。[方法]依据国家棉花品种审定标准对品种进行分类和综合评价指数构建。采用GGE双标图分析1981~2012年期间长江流域53个国审棉花品种主要目标性状的相关性。根据区域试验历年采用的对照品种,将区域试验数据分为5个时期,分析各时期内审定品种类型的比例和总体评价指数的变化动态。[结果]棉花育种目标性状间存在着复杂的相关关系,有必要采用评价指数方法对品种进行综合评价。品种类型的变化动态研究表明,Ⅱ型品种开始于泗棉3号时期,其后呈下降趋势;Ⅲ型品种在各个时期均有一定比例,总体呈上升趋势;Ⅳ型品种为1993年前审定品种的主要类型,在泗棉3号时期以后占比例较小,且呈下降趋势。评价指数的动态变化表明,2003年前品种都在目前合格线以下;2004~2008年期间审定品种总体评分较高;2009年后审定品种的总体评分仅略高于合格线。[结论]长江流域的棉花育种和品种审定中应更注重对马克隆值的改良和评价,以引导棉花丰产性和纤维品质的协调发展。     

Tomato fruit quality as influenced by the interactions between agricultural techniques and harvesting period

Tomato (Solanum lycopersicum Mill) is an important crop in terms of its economic and nutritional value. Many factors, including cultivar, climate, geography, geochemistry, and agricultural practice, can affect its nutrient concentrations. An HJ‐biplot study was performed to examine the effects of cultivar (Dorothy, Boludo, Dominique, Thomas, and Dunkan), agricultural practices, climatic factors, and their interactions. Significant differences were analyzed using a one‐way ANOVA. All samples were collected and assayed at the same degree of ripeness. In the conventional and organic tomato samples, those harvested from December to April had the highest concentrations of fructose, glucose, citric acid, malic acid, ascorbic acid, protein, Na, and Mg, while those harvested in October had the highest concentrations of lycopene and hydroxycinnamic acid. There were high concentrations of Ca, P, Zn, and Cu in the no‐soil tomatoes. Conventional and organic cultivation practices showed similar results with respect to the collection period, both presenting high organic compound concentrations, while high mineral concentrations seemed to correspond to the no‐soil practice. No clear pattern was observed among the different cultivars, perhaps due to all the samples having been collected at the same degree of ripeness.     

利用GGE双标图和综合选择指数划分棉花品种生态区

为提高农作物品种多性状选育和应用的可靠性,本研究基于品种选择指数,应用GGE双标图进行了棉花品种生态区划分。首先依据国家棉花品种审定标准构建通用性强的品种选择指数(SI),即SI=0.40×皮棉产量+0.13×纤维比强度+0.09×(纤维长度+马克隆值)+0.11×枯萎病+0.09×黄萎病+0.10×霜前花率。然后,采用GGE双标图方法对2000—2013年期间39组(含585个单点试验)长江流域国家棉花区域试验中品种选择指数的基因型与环境互作效应及环境间关系进行综合评价与分析。研究结果将长江流域棉区划分为四川盆地生态区、南襄盆地生态区、浙江省沿海生态区和长江中下游生态区。其中,长江中下游生态区为长江流域的主要品种生态区,对长江流域的总体环境代表性最强,涵盖了湖南省环洞庭湖棉区、湖北省江汉平原和鄂东南岗地棉区、江西省环鄱阳湖棉区、安徽省沿江棉区、江苏省宁镇丘陵及沿江和沿海棉区;四川盆地生态区、南襄盆地生态区和浙江省沿海生态区均为特殊生态环境条件下的品种生态区,对总体环境代表性较差。因此,将以长江流域棉区为广谱适应性育种目标环境的棉花品种综合性状选择试验优先安排在长江中下游生态区中,有利于提高育种的总体选择效果,而其余品种生态区不适宜作为以长江流域为目标环境的品种综合性状选择环境,可侧重于特殊适应性品种选育。本研究充分展示了GGE双标图在品种生态区划分方面的应用效果,合理划分了长江流域基于选择指数的棉花品种生态区,可为长江流域棉区的品种多性状选择和推荐策略提供决策依据,也为其他棉区和作物品种生态区划分提供参考。     

Genotype x environment interactions and optimum resource allocation for sugarcane yield trials in Swaziland

To account for genotype x environment (G x E) interactions, sugarcane varieties are tested in multi-environment trials (METs) across multiple crop-years and seasons (early vs. late) under fully irrigated conditions in Swaziland. This study aimed to quantify the main sources of variation relevant to the MET network, identify mega-environments, evaluate adaptability of imported sugarcane varieties, and optimize resource use within the testing network. Nine varieties (eight imported Mauritian and one South African variety) were tested at two sites (Mhlume – M and Simunye – S), harvested early (E) and late (L) in the season across five crop-years in replicated (8) Latin square designs. A linear mixed model analysis of cane yield (tons of cane per ha; TCH), sucrose content (SUC%), sucrose yield (tons of sugar per ha; TSH), and fiber content (FIB%) showed that variety x season interactions were highly significant (P < 0.001) and larger than variety x site interactions for most traits. Genotype + genotype x environment (GGE) biplots revealed clustering of environments into two mega-environments by season rather than by site. Two Mauritian varieties were superior in each of the early and late mega-environments. Broad-sense heritability (H²) for all traits was larger than 0.79, with the highest value observed for FIB% (0.89). Resource optimization analysis, using variance components, suggested that future testing be conducted at a single site, across two seasons, with replicate numbers >5, and harvested across approximately five crop-years. Strong variety x season interactions should be exploited more aggressively in irrigated sugarcane selection programs.     

基于BLUP和GGE双标图的林木多地点试验分析

【目的】建立基于无偏预测值(BLUP)与基因型主效加基因型-环境互作效应(GGE)双标图的分析模型,以提高林木多点试验数据分析的准确性。【方法】以火炬松36个基因型在6个试验地(S1~S6)的种子产量为基础数据,利用ASReml软件对实测数据进行空间变异结合因子分析法的模型拟合,以获取各地点下每个基因型的BLUP值;从试验地划分、试验地评估和林木基因型评估3个方面,对原始数据、BLUP数据进行GGE双标图分析与比较。【结果】BLUP数据具有明显的空间变异,比原始数据具有更高的产量变异解释能力;原始数据和BLUP数据的试验地分组结果一致,均分为2组,但BLUP数据的试验地点间的相关关系变弱;原始数据的理想试验地为地点S5,而BLUP数据为地点S1;原始数据和BLUP数据的最理想基因型均为21,但2种数据高产和稳产基因型的一致性比较低。【结论】基于BLUP与GGE双标图相结合的模型,可用于林木多点试验分析,其比原始数据的GGE双标图分析结果更为可靠。     

基于BLUP和GGE双标图的华北落叶松家系区域试验分析

【目的】为综合评价华北落叶松参试家系的速生丰产性、稳定性及各试验地点的区分力和代表性,利用基因型主效加基因型-环境互作效应(GGE)双标图对2017年度华北落叶松区域试验中参试家系的生长数据进行分析。【方法】基于冀北地区4个试验地点26个华北落叶松家系的胸径数据,首先拟合3个线性混合效应模型,各个模型均具有相同的固定效应(“地点”和“地点中的区组”)和残差方差结构(行、列自回归AR1×AR1,以进行空间分析),其中,模型1为随机效应中包含2个公因子的因子分析模型(FA模型),模型2、3分别为随机效应里不含测量误差以及包含测量误差的非结构化矩阵模型(US模型);基于AIC信息准则选出一个最优模型,之后利用最佳线性无偏预测(BLUP)法得到各家系在各地点的胸径BLUP数据;基于胸径BLUP数据做GGE双标图分析,对华北落叶松家系和试验地点进行评价。【结果】基于AIC信息准则,模型3(空间变异结合包含测量误差的非结构化矩阵模型(US模型))被选为最优模型;基于胸径BLUP数据的GGE双标图的前2个主成分的方差解释百分比之和为92.4%,表明结果可靠;4个试验地点被分成2组,地点L1(张家口赤城马营沟)、地点L3(张家口沽源柳条沟)和地点L4(承德围场查字)为一组(以111号家系的胸径最大),地点L2(承德围场御道口)为一组(以78号家系的胸径最大),相对而言,地点L3(张家口沽源柳条沟)能更有效地选择速生丰产且稳定的家系;各家系在不同试验地点上的表现有所不同,总体而言,26个华北落叶松家系中,111号的胸径(产量)最大,接着是78、72、82、76、59、100、77、56、86、96等系号,胸径(产量)最小的是1号,97、116、53、35、46、66和49号等家系的胸径(产量)也较低,68和42号家系的胸径(产量)接近总体均值;96、86、100和76号是速生丰产且稳定的家系,速生丰产家系111、72、56号的稳定性居中,速生丰产家系78、82和77号的稳定性中等偏下,而速生丰产家系59号则不稳定。【结论】模型3(空间变异结合包含测量误差的非结构化矩阵模型(US模型))较另外2个模型而言,结果更为可靠。地点L3(张家口沽源柳条沟)既具高区分力,又具高代表性,能更有效地评价家系。家系96、86、100和76号兼具速生性、丰产性和稳定性,可被广泛推广。基于BLUP的GGE双标图能有效应用于华北落叶松家系及试验地点的评价,本研究可为冀北地区华北落叶松的家系选择和应用提供决策支持。