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1.
Hongni Qin Yilin Cai Zhizhai Liu Guoqiang Wang Jiuguang Wang Ying Guo Hui Wang 《Euphytica》2012,187(3):345-358
To provide theoretical and applied references for biofortification of maize by increasing Zn and Fe concentration, the correlation and quantitative trait loci (QTL) of four mineral-related traits, i.e. zinc concentration of kernel (ZnK), zinc concentration of cob (ZnC), iron concentration of kernel (FeK) and iron concentration of cob (FeC) were studied for two sets of F2:3 populations derived from the crosses Mu6 × SDM (MuS) and Mo17 × SDM (MoS) under two different environments (CQ and YN). The parental lines were very different in Zn and Fe concentration of kernels and cobs. A large genetic variation and transgressive segregation of two F2:3 populations were observed for the four traits. The heritability of FeK was relatively lower (<0.6) than other three traits (>0.7). Analysis for each environment and joint analysis across two environments were used to identify QTL for each population. 16 and 15 QTL were identified in CQ and YN respectively via single environment analysis, some of which were identical in different environments and were also detected in joint analysis. The common regions for same trait at different environments were 3 and 5 in MuS and MoS respectively. Compared with the IBM2 2008 Neighbors Frame6, the distribution and effect of some QTL in two populations were highly consistent and many QTL on chromosome 2, 7 and 9 were detected in both populations. Moreover, several mineral QTL co-localized with each other for both populations such as the QTL for ZnK, ZnC, FeK and FeC on chromosome 2, QTL for Znk, FeK and FeC on chromosome 9 and QTL for ZnK and ZnC on chromosome 7, which probably were closely linked to each other, or were the same pleiotropic QTL. 相似文献
2.
3.
Tiantian Jin Jinfeng Zhou Jingtang Chen Liying Zhu Yongfeng Zhao Yaqun Huang 《Breeding Science》2013,63(3):317-324
Micronutrient malnutrition, especially zinc (Zn) and iron (Fe) deficiency in diets, has aroused worldwide attention. Biofortification of food crops has been considered as a promising approach for alleviating this deficiency. Quantitative trait locus (QTL) analysis was performed to dissect the genetic mechanism of Zn and Fe content in maize grains using a total of 218 F2:3 families derived from a cross between inbred lines 178 and P53. Meta-analysis was used to integrate genetic maps and detect Meta-QTL (MQTL) across several independent QTL researches for traits related to Zn or Fe content. Five significant QTLs and 10 MQTLs were detected. Two informative genomic regions, bins 2.07 and 2.08, showed a great importance for Zn and Fe content QTLs. The correlation between Zn and Fe level in maize grains was proposed by MQTLs as 8 of the 10 involved both traits. The results of this study suggest that QTL mapping and meta-analysis is an effective approach to understand the genetic basis of Zn and Fe accumulation in maize grains. 相似文献
4.
Decreased micronutrient concentration in cereal grains caused by excessive application of phosphorus (P) fertilizer may contribute to reduce their nutritional quality. To help correct this problem in maize grain, a 3-year field experiment was conducted to determine how P application rate affects micronutrient partitioning in maize shoots and other plant organs and micronutrient bioavailability in grain. Phosphorus application significantly decreased shoot zinc (Zn) and copper (Cu) concentrations at all growth stages but had no effects on shoot iron (Fe) and manganese (Mn) concentrations. As the P application rate increased, shoot Zn and Cu contents decreased, and shoot Fe and Mn contents increased. The ratios of pre-anthesis to post-anthesis mineral contents were not affected by P application rate except Zn. P application increased the percentage of Zn that was allocated to grain and decreased the percentage that was allocated to other tissues, but had no effects on the allocation of other micronutrients among tissues. The bioavailability of Zn, Cu, Fe, and Mn in grain decreased as P application rate increased. Overall, taking account of grain yield and nutrients concentration, P fertilizer rates should range from 12.5 to 25.0 kg P ha−1 under the local condition. It can be concluded that not only grain yields, but also nutritional quality, should be considered in assessing optimal P rates in maize. 相似文献
5.
Quantitative trait loci for phytate in rice grain and their relationship with grain micronutrient content 总被引：6，自引：0，他引：6
James C. R. Stangoulis Bao-Lam Huynh Ross M. Welch Eun-Young Choi Robin D. Graham 《Euphytica》2007,154(3):289-294
Phytate (inositol-hexa-phosphate) has an important role in plants but it also may have anti-nutritional properties in animals
and humans. While there is debate within the plant breeding and nutrition communities regarding an optimum level in grain,
there appears to be little information at the molecular level for the genetics of this trait, and its association with important
trace elements, in particular, Fe and Zn. In this preliminary study, quantitative trait loci (QTL) for grain phytates, Zn
and Fe in glasshouse-grown rice lines from an IR64 × Azucena doubled haploid population were identified. Correlations between
phytate and essential nutrients were also studied. Transgressive segregation was found for most traits. Phytate and total
P concentrations had one QTL in common located on chromosome five with the (high concentration) allele contributed from Azucena.
There were significant positive correlations between phytate and inorganic phosphorus (P), total P, Fe, Zn, Cu and Mn concentrations
for both grain concentration and content. However, the QTLs of phytate were not located on the same chromosomal regions as
those found for Fe, Zn and Mn, suggesting that they were genetically different and thus using molecular markers in breeding
and selection would modify the phytate level without affecting grain micronutrient density. 相似文献
6.
Hugo Ferney Gomez-Becerra Atilla Yazici Levent Ozturk Hikmet Budak Zvi Peleg Alexey Morgounov Tzion Fahima Yehoshua Saranga Ismail Cakmak 《Euphytica》2010,171(1):39-52
Nineteen wild emmer wheat [Triticum turgidum ssp. dicoccoides (Körn.) Thell.] genotypes were evaluated for the grain concentrations of phosphorous (P), potassium (K), sulfur (S), magnesium (Mg), calcium (Ca), zinc (Zn), manganese (Mn), iron (Fe) and cooper (Cu) under five different environments in Turkey and Israel. Each mineral nutrient has been investigated for the (1) genotype by environment (G × E) interactions, (2) genotype stability, (3) correlation among minerals and (4) mineral stability. Among the macronutrients analyzed, grain concentrations of Ca (range 338–2,034 mg kg?1) and S (range 0.18–0.43%) showed the largest variation. In the case of micronutrients, the largest variation was observed in the grain Mn concentration (range 13–87 mg kg?1). Grain concentrations of Fe and Zn also showed important variation (range 27–86 and 39–115 mg kg?1, respectively). Accessions with higher nutrient concentrations (especially Zn and Fe) had also greater grain weight, suggesting that higher grain Zn and Fe concentrations are not necessarily related to small grain size or weight. Analysis of variance showed that environment was the most important source of variation for K, S, Ca, Fe, Mn and Zn, explaining between 44 and 78% of the total variation and G × E explained between 20 and 40% of the total variation in all the minerals, except for S and Zn where its effect accounted for less than 16%. Genotype was the most important source of variation for Cu (explaining 38% of the total variation). However, genotype effect was also important for Mg, Mn, Zn and S. Sulfur and Zn showed the largest heritability values (77 and 72%, respectively). Iron exhibited low heritability and high ratio value between the G × E and genotype variance components \( \left( {\sigma_{\text{GE}}^{2} /\sigma_{G}^{2} } \right) \), suggesting that specific adaptation for this mineral could be positively exploited. The wild emmer germplasm tested in the current study revealed some outstanding accessions (such as MM 5/4 and 24-39) in terms of grain Zn and Fe concentrations and environmental stability that can be used as potential donors to enhance grain micronutrient concentrations in wheats. 相似文献
7.
QTL for maize grain yield identified by QTL mapping in six environments and consensus loci for grain weight detected by meta‐analysis 
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下载免费PDF全文 Limei Pan Zengqi Yin Yaqun Huang Jingtang Chen Liying Zhu Yongfeng Zhao Jinjie Guo 《Plant Breeding》2017,136(6):820-833
Grain yield is the most important and complicated trait in maize. In this study, a total of 498 recombinant inbred lines (RIL) derived from a biparental cross of two elite inbred lines, 178 and P53, were grown in six different environments. Quantitative trait locus (QTL) mapping was conducted for three grain yield component traits (100 grain weight, ear weight and kernel weight per plant). Subsequently, meta‐analysis was performed after a comprehensive review of the research on QTL mapping for grain weight (100, 300 and 1000) using BioMercator V4.2. In total, 62 QTLs were identified for 100 grain weight, ear weight and kernel weight per plant in six environments. Forty‐three meta‐QTLs (MQTLs) were detected by meta‐analysis. A total of 13 candidate genes homologous to eight functionally characterized rice genes were found, and four candidate genes were located in the two hot spot regions of MQTL1.5 and MQTL2.3. Our results suggest that the combination of literature collection, meta‐analysis and homologous blast searches can offer abundant information for further fine mapping, marker‐assisted selection (MAS) breeding and map‐based cloning for maize. 相似文献
8.
The introduction of new hybrids and integrated crop-soil management has been causing maize grain yield to increase. However, less attention has been paid on the nutrient concentration of the grain; this aspect is of great importance to supplying calories and nutrients in the diets of both humans and animals worldwide. Increasing the retranslocation of nutrients from vegetative organs to grain can effectively increase the nutrient concentration of grain and general nutrient use efficiency. The present study involved monitoring the dynamic change of macro- and micronutrients in different organs of maize during the grain filling stage. In addition, the mobility of different elements and their contribution to grain nutrient content were evaluated in a 2-year experiment under low (LN, no N supplied) and high N (HN, 180 kg N ha−1) supply. Under HN supply, the net remobilization efficiency (RE) of the vegetative organs as a whole (calculated as nutrient remobilization amount divided by nutrient content at silking) of N, P, K, Mn, and Zn were 44%, 60%, 13%, 15%, and 25%, respectively. The other nutrients (Mg, Ca, Fe, Cu, and B) showed a net accumulation in the vegetative organs as a whole during the grain filling stage. Among the different organs, N, P, and Zn were remobilized more from the leaves (RE of 44%, 51% and 43%, respectively) and the stalks (including leaf sheaths and tassels) (RE of 48%, 71% and 43%, respectively). K was mainly remobilized from the leaves with RE of 51%. Mg, Ca, Fe, Mn, and Cu were mostly remobilized from the stalks with the RE of 23%, 9%, 10%, 42%, and 28%, respectively. However, most of the remobilized Mg, Ca, Fe, Mn, Cu, and Zn were translocated to the husk and cob, which seemingly served as the buffer sink for these nutrients. The REs of all the nutrients except for P, K, and Zn were vulnerable to variations in conditions annually and were reduced when the grain yield and harvest index were lower in 2014 compared with 2013. Under LN stress, the RE was reduced in P and Zn in 2013, increased in Cu and unchanged in other nutrients. The concentration of these nutrients in the grain was either unchanged (P, K, Ca, Zn, and B) or decreased (N, Mg, Fe, Mn, and Cu). It is concluded that grain N, P, K, Mn, and Zn, but not Mg, Ca, Fe, Cu, and B concentration, can be improved by increasing their remobilization from vegetative organs. However, enhancing the senescence of maize plant via LN stress seems unable to increase grain mineral nutrient concentration. Genetic improvement aiming to increase nutrient remobilization should take into account the organ-specific remobilization pattern of the target nutrient. 相似文献
9.
种植环境和施氮水平影响粳稻稻米铁、锌矿质元素含量 总被引：1，自引：0，他引：1
明确种植环境和施肥水平对稻米铁、锌矿质元素含量的影响是富铁富锌新品种选育和稻米生产的前提.通过11个粳稻品种(系)多点种植试验结果分析表明,糙米铁、锌矿质元素含量明显受基因型、环境、基因型与环境互作的影响,而且基因型影响是占主导作用,因而含量高的品种(系)在不同种植环境中含量还是高,但两种元素含量稳定性存在基因型差异.在22.5kg/hm~2、112.5kg/hm~2和337.5kg/hm~2施氮水平下,随氮肥施用量的增加糙米含铁量平均提高21%,含锌量提高9%,提高的幅度因品种而异.对种植在土壤不缺铁、锌元素的水稻,增施铁、锌元素没有提高稻米铁、锌矿质元素含量. 相似文献
10.
Genetic effects on Fe, Zn, Mn and P contents in Indica black pericarp rice and their genetic correlations with grain characteristics 总被引：2，自引：0，他引：2
Complete diallel crosses with 6 varieties of black pericarp rice and 1 variety of aromatic white rice were conducted to analyze
the seed, maternal and cytoplasmic genetic effects on Fe, Zn, Mn and P contents in kernels by using a genetic model for quantitative
traits of seeds in parents and their F1s and F2s. Seed, maternal as well as cytoplasmic genetic effects controlled the contents of all the mineral elements studied. The
seed genetic effects were found to be more influential than the maternal genetic effects on Fe, Zn, Mn contents. Seed additive
effects constituted a major component of the genetic effects whereas the seed additive along with maternal additive and dominant
effects formed the main part in the inheritance of P content. The heritabilities of seed effects on all the mineral contents
were highly significant (p< 0.01). The estimated values of narrow-sense heritabilites of seed genetic effects on Fe, Zn and Mn contents were high, while
those of seed and maternal effects on P content were intermediate. Single plant selection and single grain selection based
on the seed mineral element contents were advocated to improve the hybrid progeny. Genetic correlations showed that there
existed significant genetic correlations of seed additive, seed dominance, cytoplasm, maternal additive and maternal dominance
between grain characteristics such as 100-grain weight,grain length, grain width, grain shape and mineral elements Fe, Zn,
Mn and P contents. Indirect selection of grain characteristics may be one of the breeding methods to select for higher contents
of Fe, Zn, Mn and P in black pericarp indica rice.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
11.
High-oil maize (Zea mays L.) has special value in animal feed and human food. Two hundred and eight-four and 265 F2:3 families developed from two crosses between one high-oil maize inbred and two normal dent maize inbreds were evaluated for
grain oil and starch contents under two environments. Using composite interval mapping, 1–6 QTL for each trait were detected
under each environment and in combined analysis in both populations. Only one common QTL across two environments in each population
and across two populations were found for starch content. Among the detected QTL, nine digenic interactions with small effects
were identified. Comparison of single-trait QTL and the results of multiple-trait QTL mapping showed that oil content might
be complicatedly correlated with starch content. Although single-trait QTL with the same parental effects for both traits
and oil-starch QTL were all detected at the same genetic bin 6.04 as the cloned high-oil QTL (qHO6) with no unfavorable effects
on grain weight, our results did reflect the difficulty to realize simultaneous improvement on grain oil and starch contents.
Of course, these results should be validated in further experiments under more environments using RILs, NILs and other permanent
populations. 相似文献
12.
云南地方稻矿质元素含量的变异类型与地理生态差异 总被引：12，自引：0，他引：12
以来自云南5个稻作区或16个地州的地方稻核心种质为材料,用等离子体原子发射光谱法(ICP-AES)测定了583份糙米P, K, Ca, Mg, Fe, Zn, Cu和Mn含量,并进行了8种矿质元素含量的变异类型及其地理生态差异研究。结果表明583份糙米8种矿质元素含量为P>K>Mg >Ca>Fe>Zn>Cu>Mn, 多样性指数为P>Mn>Cu>K>Mg>Zn>Fe>Ca。滇中一季籼粳稻区是高Ca(164.86 μg/g), Fe(38.33 μg/g)和Zn(39.03 μg/g)糙米的分布中心, 尤其是大理和楚雄州糙米的Ca(205.88, 223.33 μg/g), Fe(87.89, 121.45 μg/g)和Zn (44.13, 39.33 μg/g)含量在云南16个地州中最高。思茅地区是云南低磷、低钾和低镁糙米含量的分布中心；红河和文山州是云南高钾和高铜糙米的分布中心。临沧、思茅、西双版纳和德宏州是云南地方稻糙米基于8种矿质元素的遗传多样性中心，也是糙米磷含量的遗传多样性中心，这与基于云南地方稻种形态、同工酶和SSR标记确定的云南稻种遗传多样性中心有一定的相似趋势；这是本文中重要的发现之一。这些结果揭示了云南地方稻种糙米矿质元素(特别是磷)含量的多样性与稻种的遗传和基因多样性可能有某种相关。 相似文献
13.
Yong Zhang Qichao Song Jun Yan Jianwei Tang Rongrong Zhao Yueqiang Zhang Zhonghu He Chunqin Zou Ivan Ortiz-Monasterio 《Euphytica》2010,174(3):303-313
Investigations on concentration of mineral elements including Fe and Zn in wheat grains are important for human health. Two
hundreds and sixty-five cultivars and advanced lines were collected and sown at Anyang experimental station of the Institute
of Crop Science of the Chinese Academy of Agriculture Sciences in season 2005–2006 to evaluate the genetic variation of major
mineral element concentrations in wheat grain. Twenty-four selected cultivars were also planted at seven representative locations
in seasons 2005–2006 and 2006–2007 to evaluate the effects of genotype, environment, and genotype by environment interaction
on mineral element concentrations. The 265 genotypes displayed a large variation for all mineral elements investigated including
Fe and Zn, ranging from 28.0 to 65.4 mg kg−1 and 21.4 to 58.2 mg kg−1 for Fe and Zn, with mean values of 39.2 and 32.3 mg kg−1, respectively. Jimai 26, Henong 326, and Jingdong 8 displayed high Fe and Zn concentrations, and Jimai 26 and Henong 326
also displayed high concentrations of Cu, Mg, K, P, and protein content. Jingdong 8 is the most promising leading cultivar
for increasing Fe and Zn concentrations. All mineral element concentrations including Fe and Zn were largely influenced by
environment effects. Production of high Fe concentration can be best secured at Jiaozuo and Jinan, and high Zn concentration
can be best secured at Jinan and Xuzhou, since samples from these locations in the two seasons are characterized by high Fe
or Zn concentration, compared with the other locations. High and significant genotype by environment interaction effects on
all mineral element concentrations were also observed, with ratios of genotype by environment to genotype variances all larger
than 1.20. Grain Fe concentration was highly significant and positively correlated with that of Zn, indicating a high possibility
to combine high Fe and Zn traits in wheat breeding. It also indicated strong positive correlations between concentrations
of Fe, Zn, and protein content. 相似文献
14.
Marcos Malosetti Jean Marcel Ribaut Mateo Vargas José Crossa Fred A. van Eeuwijk 《Euphytica》2008,161(1-2):241-257
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment
(MTME) trials are limited. Mixed models have been proposed both for multi-trait QTL analysis and multi-environment QTL analysis,
but these approaches break down when the number of traits and environments increases. We present models for an efficient QTL
analysis of MTME data with mixed models by reducing the dimensionality of the genetic variance–covariance matrix by structuring
this matrix using direct products of relatively simple matrices representing variation in the trait and environmental dimension.
In the context of MTME data, we address how to model QTL by environment interactions and the genetic basis of heterogeneity
of variance and correlations between traits and environments. We illustrate our approach with an example including five traits
across eight stress trials in CIMMYT maize. We detected 36 QTLs affecting yield, anthesis-silking interval, male flowering,
ear number, and plant height in maize. Our approach does not require specialised software as it can be implemented in any
statistical package with mixed model facilities. 相似文献
15.
黑龙江省不同类型土壤微量元素含量及对稻米品质的影响 总被引：5，自引：0，他引：5
采用单因素方法研究黑龙江省不同类型土壤铜、锰、铁、锌微量元素含量与稻米子粒铜、锰、铁、锌微量元素的关系及其对稻米品质的影响。结果表明,不同类型土壤铜含量顺序为白浆土>黑土>草甸土>盐碱土,锰和铁的含量顺序与铜一致,锌的含量则是黑土>白浆土>草甸土>盐碱土。土壤中的铜、锰、铁、锌含量与水稻子粒中各微量元素含量达极显著正相关;水稻子粒中铜、锰、铁、锌含量高,稻米整精米率、长宽比和食味评分降低,蛋白质含量和垩白粒率升高;各微量元素对于稻米出糙率和直链淀粉含量的影响不一致,子粒中铜、锰、铁含量高,稻米出糙率高,锌含量与稻米出糙率则相反,各微量元素对于稻米的出糙率影响不大,铜和锌含量低,锰和铁含量高,稻米的直链淀粉含量高,子粒中各微量元素与稻米品质指标的关系间接反映出各类土壤微量元素含量与稻米品质指标的关系。 相似文献
16.
倒伏是影响玉米高产和机械化收获的重要因素,明确玉米抗倒伏相关性状的遗传基础,增强玉米品种抗倒伏能力,可为玉米高产宜机收育种提供理论依据。本研究以国内外收集的153份自交系为材料,利用6H90K SNP芯片检测的70,438个高质量SNP标记对地上第3节茎秆强度、株高、穗位高和穗位系数进行全基因组关联分析,分别检测到与茎秆强度、株高、穗位高和穗位系数相关位点5个、14个、16个和21个,单个关联位点最大效应值为13.24。同时以KA105/KB020的F5群体为试验材料,采用QTL IciMapping V4.2软件的完备区间作图法进行QTL定位,检测到21个与抗倒伏相关的QTL,可解释表型变异3.86%～16.58%。结合关联分析和连锁分析结果发现, 2个QTL区间与关联分析的候选区间重合。经过候选区段的基因功能注释和文献查阅,挖掘到GRMZM2G105391、GRMZM2G014119和GRMZM2G341410等与细胞壁生物合成、细胞分裂和细胞伸长的相关基因可供进一步分析。本研究结果为进一步解析玉米抗倒伏性状的遗传基础提供参考。 相似文献
17.
普通小麦品种籽粒矿质元素含量分析 总被引：4，自引：1，他引：3
山西省中部地区是山西小麦生产的重要地区,了解该区当前主栽小麦品种和骨干亲本的籽粒中矿物元素含量的基因型特点,对进一步选育富含铁、锌等元素的新品种具有指导作用。采用电感耦合等离子发射光谱仪(ICP-AES)分析了17个小麦品种的铁、锌、锰和铜元素含量。结果表明,供试材料中4种元素含量的变化范围较大,铁、锌、锰和铜的平均含量分别为38.19 mg/kg、29.30 mg/kg、38.44 mg/kg和6.89 mg/kg。其中,‘河东乌麦526’、‘京冬8号’和‘冬黑10号’的铁含量大于45 mg/kg,‘太10604’的锌含量最高为42.98 mg/kg,‘河东乌麦526’和‘冬黑10号’锰含量高于45 mg/kg,‘晋麦66’和‘冬黑10号’铜的含量较高,均高于8.50 mg/kg。籽粒中锰与铁、锰和锌元素含量间呈显著相关,其中锰和锌含量间呈极显著相关,相关系数为0.69,其他各元素间相关不显著。可以从小麦主栽品种中筛选高矿质元素含量的基因型,‘河东乌麦526’、‘京冬8号’、‘冬黑10号’和‘太10604’ 4个品种可作为进行籽粒富含铁、锌矿质营养小麦遗传改良的亲本。 相似文献
18.
Pengfei Leng Milena Ouzunova Matthias Landbeck Gerhard Wenzel Thomas Lübberstedt Birte Darnhofer Joachim Eder 《Plant Breeding》2019,138(5):524-533
Improving maize starch content is of great importance for both forage and grain yield. In this study, 13 starch degradability traits were analysed including percentage of the seedling area, floury endosperm, hard endosperm of total grain area, percentage of the floury endosperm surface and vitreousness ratio surface hard: floury endosperm surface, etc. We mapped quantitative trait loci (QTL) in a biparental population of 309 doubled haploid lines based on field phenotyping at two locations. A genetic linkage map was constructed using 168 SSR (simple sequence repeat) markers, which covered 1508 cM of the maize genome, with an average distance of 9.0 cM. Close phenotypic and genotypic correlations were found for all traits, and were all statistically significant (p = 0.01) at two locations. Major QTL for more than two traits were detected, especially in two regions in bins 4.05–4.06 and 7.04–7.05, associated with 13 and 9 traits, respectively. This study contributes to marker‐assisted breeding and also to fine mapping candidate genes associated with maize starch degradability. 相似文献
19.
不同生态环境下玉米产量性状QTL分析 总被引：35，自引：10，他引：25
以玉米（Zea mays L.）自交系黄早四和Mo17为亲本得到的191个F2单株为作图群体,衍生的184个F2∶3 家系作为性状评价群体,分析了单株穗数、穗行数、行粒数、百粒重和单株籽粒产量在北京和新疆2个生态环境下的表现和数量性状基因位点的定位结果。QTL检测结果表明,2个环境共检测出47个QTL,分布于除第10染色体以外的9条染色体,其中与单株穗数相关的QTL共10个,可解释的表型变异为5.3%~25.6%;与穗行数相关的QTL共13个,可解释的表型变异为4.5%~23.2%;与行粒数相关的QTL有9个,解释的表型变异为5.4%~13.7%;与百粒重相关的QTL达10个,可解释的表型变异为4.9%~13.3%;与单株籽粒产量相关的QTL有5个,可解释的表型变异为6.1%~35.8 %。大部分产量QTL只在单一环境下被检测到,说明产量相关QTL与环境之间存在明显的互作。表型相关显著的产量性状,它们的QTL容易在相同或相邻标记区间检测到。研究还发现了若干个QTL富集区域,可能是发掘通用QTL的候选位点。 相似文献
20.
不同环境基于高密度遗传图谱的稻米外观品质QTL定位 总被引：1，自引：0，他引：1
为解析稻米外观品质遗传基础, 挖掘稳定存在的控制稻米外观品质性状的QTL, 本研究以籼稻品种V20B和爪哇稻品种CPSLO17作为亲本, 构建包含150个重组自交家系(recombinantion inbred line, RIL)的RIL作图群体, 进行外观品质性状QTL定位分析。利用特定位点扩增长度测序(SLAF-seq)技术, 构建了一个由12个连锁群包含8602个标记, 平均间距为0.29 cM的高密度遗传图谱。采用IciMapping 4.0软件的ICIM-ADD方法在3种环境(贵阳、贵定、三亚)对4个外观品质性状(粒长、粒宽、垩白度和垩白粒率)进行QTL (quantitative trait locus)定位分析。结果表明: 3种环境共检测到9个粒长QTL、6个粒宽QTL、3个垩白度QTL和4个垩白粒率QTL; 有5个QTL在多个环境被重复检测到, 其中3种环境都定位到的粒宽QTL qGW5-1和垩白度QTL qCha5-1为同一定位区间(第5染色体的Marker1642127-Marker1514505); 此外, 垩白度QTL qCha5-2的定位区间(Marker1554573-Marker1554589)和垩白粒率QTL qCGP5-2也是一样的。序列比对发现QTL qCha5-1定位区间仅51.5 kb, 是新的垩白性状主效QTL。本研究结果不仅为挖掘新的外观品质性状基因奠定基础, 也有助于开发新的分子标记进行水稻外观品质性状遗传改良。 相似文献