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1.
Flavonoids as Flower Pigments: The Formation of the Natural Spectrum and its Extension by Genetic Engineering 总被引：17，自引：0，他引：17
G. Forkmann 《Plant Breeding》1991,106(1):1-26
Preharvest aflatoxin contamination of maize (Lea mays L.) gram by Aspergillns spp. is a concern to both producers and consumers of maize. Aflatoxms are carcinogenic to animals and have been linked to liver cancer in humans. The most desirable solution for eliminating or reducing aflatoxin contamination is to identify and/or develop sources of resistance. However, only a few genetic studies, which utilized a limited amount of genetic material, have been conducted. A thorough review and consolidation of information from these studies was deemed necessary. The purpose of this paper is to present a current, critical review on aspects of infection by Aspergillus, role of insects, inoculation techniques, and sources and genetics of resistance as they relate to aflatoxin production in maize. Damage to maize kernels by insects, especially the European corn borer (Ostrinia nubilalis Hübner), fall armyworm (Spodoptera frugiperda J. E. Smith), and corn ear-worm (Helicoverpa zea Boddie), has been associated with high aflatoxin levels. Artificial inoculation techniques that damage maize kernels generally result in the highest and most consistent aflatoxin levels. Although, a relatively large amount of maize germplasm has been screened for resistance and varying levels of resistance have been identified, additional germplasm needs to be systematically evaluated. To date, there are no known genotypes with complete resistance. Results from the few genetic studies indicated that additive genetic effects controlled resist-Preharvest aflatoxin contamination of maize (Zea mays L.) gram by Aspergillns spp. is a concern to both producers and consumers of maize. Aflatoxms are carcinogenic to animals and have been linked to liver cancer in humans. The most desirable solution for eliminating or reducing aflatoxin contamination is to identify and/or develop sources of resistance. However, only a few genetic studies, which utilized a limited amount of genetic material, have been conducted. A thorough review and consolidation of information from these studies was deemed necessary. The purpose of this paper is to present a current, critical review on aspects of infection by Aspergillus, role of insects, inoculation techniques, and sources and genetics of resistance as they relate to aflatoxin production in maize. Damage to maize kernels by insects, especially the European corn borer (Ostrinia nubilalis Hübner), fall armyworm (Spodoptera frugiperda J. E. Smith), and corn ear-worm (Helicoverpa Zea Boddie), has been associated with high aflatoxin levels. Artificial inoculation techniques that damage maize kernels generally result in the highest and most consistent aflatoxin levels. Although, a relatively large amount of maize germ-plasm has been screened for resistance and varying levels of resistance have been identified, additional germplasm needs to be systematically evaluated. To date, there are no known genotypes with complete resistance. Results from the few genetic studies indicated that additive genetic effects controlled resistance to aflatoxin contamination in maize. Aflatoxin production on maize grain appeared to be greatly influence by the environment. Further genetic studies, utilizing additional germplasm, are warranted for a better understanding of the nature of resistance to asflatoxin contamination in maize. Future research needs and plans relative to resistance to aflatoxin contaminaton in maize are presented. 相似文献
2.
Yunlong Bian Donglei Sun Xiao Gu Yijun Wang Zhitong Yin Dexiang Deng Yanqiu Wang Feifei Wu Guosheng Li 《Euphytica》2014,198(1):79-89
Increasing sugar content in silage maize stalk improves its forage quality and palatability. The genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement, yet little information on QTL for stalk sugar content in maize has been reported. To this end, we investigated QTLs associated with stalk sugar traits including Brix, plant height (PHT), three ear leaves area (TELA), and days to silking (DTS) in two environments using a population of 202 recombinant inbred lines from a cross between YXD053, which has a high stalk sugar content, and Y6-1, which has a low stalk sugar content. A genetic map with 180 SSR and 10 AFLP markers was constructed, which spanned 1,648.6 cM of the maize genome with an average marker distance of 8.68 cM, and QTLs were detected using composite interval mapping. Seven QTLs controlling Brix were mapped on chromosomes 1, 2, 6 and 9 in the combined environments. These QTLs could explain 2.69–13.08 % of the phenotypic variance. One major QTL for Brix on chromosome 2 located between the markers bnlg1909 and umc1635 explained 13.08 % of the phenotypic variance. Y6-1 also contributed QTL allele for increased Brix on chromosome 6. One major QTLs controlling PHT on chromosome 1 and TELA on chromosome 4 were also identified and accounted for 13.68 and 12.49 % of the phenotypic variance, respectively. QTL alleles for increased DTS were located on chromosomes 1 and 5 of YXD053. Significant epistatic effects were identified in four traits, but no significant QTL × environment interactions were observed. The information presented here may be valuable for stalk sugar content improvement via marker-assisted selection in silage maize breeding programs. 相似文献
3.
Comparison of QTLs mapped in RILs and their test-cross progenies of tropical maize for insect resistance and agronomic traits 总被引：7，自引：1，他引：6
S. Groh M. M. Khairallah D. González-de -León M. Willcox C. Jiang D. A. Hoisington A. E. Melchinger 《Plant Breeding》1998,117(3):193-202
Quantitative trait loci (QTL) affecting resistance to south-western corn borer Diatraea grandiosella (SWCB) and sugarcane borer Diatraea saccharalis (SCB) have been identified previously in F2:3 lines and recombinant inbred lines (RILs) of tropical maize using restriction fragment length polymorphism (RFLP) analyses. Our objective was to determine whether QTLs identified in these generations are also expressed in test crosses (TC) of RILs. A population of 166 TC progenies was developed by crossing RILs from the cross CML131 (susceptible) × CML67 (resistant) with the unrelated, susceptible tester line CML216. Resistance to first-generation SWCB, measured as leaf-feeding damage (LFD) under artificial infestation, and other agronomic traits were evaluated in two environments for the TC progenies and three environments for 183 RILs. The correlation between line per se and TC performance was low for LFD and intermediate for most agronomic traits. Estimates of the genotypic variance and heritabilities were smaller in the TC progenies than in the RILs for all traits. Quantitative trait loci were identified using an RFLP linkage map with 136 loci. For LFD, four QTLs were detected in the TC progenies, of which two were in common with nine QTLs previously mapped in the RILs. Few QTLs for agronomic traits were common to the two types of progeny, because of the low consistency of QTL positions for all traits in RIL and TC progenies, the use of TC progenies should be considered in QTL mapping studies as the first step for marker-assisted selection in hybrid breeding. 相似文献
4.
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
5.
玉米雄穗分枝数主效QTL定位及qTBN5近等基因系构建 总被引：1，自引：0，他引：1
立足于发掘玉米雄穗分枝数优异基因资源, 利用郑单958骨干亲本郑58和昌7-2构建的188个重组自交系(recombinant inbred line, RIL)家系群体, 结合288个多态性分子标记构建的连锁图谱和2年玉米雄穗分枝数表型数据, 运用完备复合区间作图法进行QTL定位, 共检测到5个控制玉米雄穗分枝数的一致性主效QTL, 分别位于玉米5条染色体上。通过连续回交及分子标记辅助选择构建了位于bin 5.05的控制雄穗分枝数主效QTL-qTBN5近等基因系(near isogenic line, NIL), 对基因遗传效应进行了验证, 并将qTBN5进一步定位在13.2 Mb区间之内, 为玉米雄穗分枝数主效基因的精细定位及分子育种奠定基础。 相似文献
6.
QTL mapping for six ear leaf architecture traits under water‐stressed and well‐watered conditions in maize (Zea mays L.) 
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下载免费PDF全文 Morphological traits for ear leaf are determinant traits influencing plant architecture and drought tolerance in maize. However, the genetic controls of ear leaf architecture traits remain poorly understood under drought stress. Here, we identified 100 quantitative trait loci (QTLs) for leaf angle, leaf orientation value, leaf length, leaf width, leaf size and leaf shape value of ear leaf across four populations under drought‐stressed and unstressed conditions, which explained 0.71%–20.62% of phenotypic variation in single watering condition. Forty‐five of the 100 QTLs were identified under water‐stressed conditions, and 29 stable QTLs (sQTLs) were identified under water‐stressed conditions, which could be useful for the genetic improvement of maize drought tolerance via QTL pyramiding. We further integrated 27 independent QTL studies in a meta‐analysis to identify 21 meta‐QTLs (mQTLs). Then, 24 candidate genes controlling leaf architecture traits coincided with 20 corresponding mQTLs. Thus, new/valuable information on quantitative traits has shed some light on the molecular mechanisms responsible for leaf architecture traits affected by watering conditions. Furthermore, alleles for leaf architecture traits provide useful targets for marker‐assisted selection to generate high‐yielding maize varieties. 相似文献
7.
以耐盐碱郑58和盐碱敏感昌7-2为亲本,构建包含151份F2:5重组自交系(RILs)群体。基于3K芯片对郑58、昌7-2及其F2:5家系进行基因型分析,构建了包含1407个SNP分子标记的高密度遗传连锁图谱。该图谱的各染色体标记数在84～191之间,标记间的平均距离为0.81 cM。胁迫液为200 mmol L–1 NaCl和100 mmol L–1 Na2CO3,对照液为蒸馏水或霍格兰营养液,对盐、碱胁迫和自然条件下玉米的发芽率(GP)、株高(PH)、植株干、鲜重(FW、DW)、幼苗组织含水量(TWS)、植株地上部分钠含量(SNC)、钾含量(SKC)、钠/钾含量比(NKR)、苗期耐盐率(STR)、耐碱率(ATR)10项指标,采用3种不同的作图方法同时定位研究,对加性QTL定位采用复合区间作图法(CIM)和完备区间作图法(ICIM),对加性QTL与环境互作联合分析采用混合线性模型的复合区间作图法(MCIM)。结果表明,(1)与对照条件下各性状表型值相比,耐碱相关性状的降低较耐盐相关性状明显,说明玉米对碱胁迫更加敏感和碱胁迫对玉米的伤害更严重。碱与盐胁迫下SKC相当而SNC差异较大,表明Na+、K+的吸收和运输是相互独立的两个过程,玉米盐、碱胁迫可能是两种性质不同的胁迫。(2)在自然、盐和碱胁迫条件下,运用CIM分别检测到27、28、40个加性QTL;运用ICIM分别检测到28、23、17个加性QTL;运用MCIM共检测到11个耐盐加性QTL、4个环境互作QTL以及11个耐碱加性QTL、3个环境互作QTL。(3)盐胁迫条件下的qPH-9、qSTR-8、qNKR-6、qNKR-7和碱胁迫条件下的qPH-9、qATR-3能被3种作图方法重复检测到。与前人结果比较, qPH-9、qSTR-8、qNKR-6、q-ATR-3定位在相同或邻近区域,qNKR-7尚未见报道。本研究结果为精细定位玉米耐盐碱主效基因、挖掘候选基因和开发用于标记辅助选择的实用功能标记奠定基础。 相似文献
8.
不同密度下玉米穗部性状的QTL分析 总被引：2，自引：0，他引：2
为研究玉米穗部性状对不同种植密度的遗传响应,以郑58和HD568为亲本构建的220个重组自交系群体为材料,于2014年春、2014年冬及2015年春分别在北京和海南进行3个种植密度的田间试验,调查玉米穗长、穗粗、穗行数和行粒数等表型性状。利用SAS软件计算穗部性状的最优线性无偏估计值(BLUP),并采用完备区间作图法进行QTL定位。结果表明,在3个种植密度下共检测到42个QTL,单个QTL可解释4.20%~14.07%的表型变异。3个种植密度下同时检测到位于第2染色体上控制穗行数的QTL。2个种植密度下同时检测到4个与穗粗、穗行数和行粒数有关的QTL,其中第4染色体上1个与穗行数有关的主效QTL,在低、中种植密度下可分别解释表型变异的10.88%和14.07%。此外,在第2、4和9染色体上检测到3个同时调控不同穗部性状的QTL。研究结果表明玉米穗部性状在不同种植密度下的遗传调控发生变化,在不同密度下共同检测到的稳定QTL可应用于精细定位或开发玉米耐密性分子标记用于辅助育种。 相似文献
9.
LIU Jiang-Ning WANG Chu-Xin ZHANG Hong-GEN MIAO Yi-Xu GAO Hai-Lin XU Zuo-Peng LIU Qiao-Quan TANG Shu-Zhu 《作物学报》2019,45(11):1664-1671
发掘水稻黑条矮缩病的抗性基因有助于抗病品种的选育,减少黑条矮缩病对水稻生产的危害。本研究构建了包含222个家系的L5494/IR36重组自交系群体。对该群体进行黑条矮缩病的田间诱发鉴定,抗性亲本IR36发病率为28.70%,感病亲本L5494发病率为84.26%,群体发病率范围为11.21%～89.81%。利用134对分子标记构建覆盖12条染色体的遗传连锁图谱,总遗传距离为1475.97 cM,平均标记间距为11.1 cM。利用QTL IciMapping 4.0对抗黑条矮缩病QTL进行分析,共检测到4个QTL,其中第1、第2、第9染色体上QTL的表型贡献率分别为12.64%、16.00%和8.43%,抗病等位基因来自抗病亲本IR36;第6染色体上QTL的表型贡献率为10.82%,抗病等位基因来自感病亲本L5494。在此基础上,利用93-11为供体、日本晴为背景的近等基因系材料,在qRBSDV-1定位区间内检测到来自93-11的抗性QTL。本研究结果为水稻黑条矮缩病抗性基因定位及分子标记辅助选择育种提供借鉴。 相似文献
10.
用闭合三角形杂交群体检测QTL等位位点差异 总被引：1，自引：0，他引：1
本文简述QTL定位和数量性状分子标记辅助选择的基本原理、基本方法,以及在实际应用中存在的一些问题。将12个不同作图群体构建的刚UP或SSR分子标记连锁图,根据其大多数分子标记所在的染色体节,再按每条染色体在各自连锁图中的相对长度整合在一起,然后将所定位的玉米株高QTL转换成整合图上的相对位置。结果发现,12个作图群体定位的75个玉米株高QTL位点遍布整个染色体组,QTL定位的重演性不高。分析认为,这是数量性状受众多微效多基因控制的必然现象。最后,提出用闭合三角形杂交群体进行QTL定位,检测QTL等位点的多重差异,并设想用这种方法验证或提高不同作图群体定位同一数量性状QTL的重演性。 相似文献
11.
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
12.
玉米抗穗粒腐病QTL定位 总被引：5，自引：0，他引：5
用已构建的包括88个AFLP标记和151个SSR标记的遗传图谱和230个F2植株用于抗病QTL定位研究,在四川雅安、绵阳对F2株系进行抗病性鉴定,采用复合区间定位法进行抗病QTL检测。在雅安检测到位于第2、3、4、6和9染色体上的抗病QTL 6个,解释表型变异的8.3%~25.7%;在绵阳检测到位于第1、6、7和9染色体上的抗病QTL 4个,解释表型变异的11.3%~26.4%。在10个抗病QTL中,位于第6和第9染色体上的2个同时在两点被检测到,贡献率均超过15%,表明玉米穗粒腐病确实存在遗传抗病性。利用2个环境抗病指数的平均值进行抗性QTL检测,共检测到位于第1、6和7连锁群上的3个抗性QTL,单个QTL的贡献率在8.9%~17.2%之间。结果有助于了解玉米穗粒腐病的抗性机制,并为分子标记辅助选择提供理论支撑。 相似文献
13.
Identification of quantitative trait loci for leaf‐related traits in an IBM Syn10 DH maize population across three environments 下载免费PDF全文
下载免费PDF全文 Langlang Ma Zhongrong Guan Zhiteng Zhang Xiaoxiang Zhang Yanling Zhang Chaoying Zou Huanwei Peng Guangtang Pan Michael Lee Yaou Shen Thomas Lübberstedt 《Plant Breeding》2018,137(2):127-138
Leaf‐related traits (leaf length, leaf width, leaf area and leaf angle) are very important for the yield of maize (Zea mays L) due to their influence on plant type. Therefore, it is necessary to identify quantitative trait loci (QTLs) for leaf‐related traits. In this report, 221 doubled haploid lines (DHLs) of an IBM Syn10 DH population were provided for QTL mapping. In total, 54 QTLs were detected for leaf‐related traits in single environments using a high‐density genetic linkage map. Among them, only eight common QTLs were identified across two or three environments, and the common QTLs for the four traits explained 4.38%–19.99% of the phenotypic variation. qLL‐2‐1 (bin 2.09), qLW‐2‐2 (bin 2.09), qLW‐6‐3 (bin 6.07) and qLA‐5‐2 (bin 2.09) were detected in previous studies, and qLL‐1‐1, qLAr‐1‐1, qLAr‐2‐1 and qLA‐7‐1 may be new QTLs. Notably, qLW‐6‐3 and qLA‐5‐2 were found to be major QTLs explaining 19.99% and 10.96% of the phenotypic variation, respectively. Interestingly, we found three pairs of QTLs (qLW‐2‐2 and qLAr‐2‐1, qLW‐8‐1 and qLL‐8‐2, qLL‐3‐3 and qLAr‐3‐3) that control different traits and that were located on the same chromosome or in a nearby location. Moreover, nine pairs of loci with epistatic effects were identified for the four traits. These results may provide the foundation for QTL fine mapping and for an understanding of the genetic basis of variation in leaf‐related traits. 相似文献
14.
The improvement of energy efficiency in the greenhouse production of cut rose and pot rose can be achieved through the use
of rose cultivars having vigorous growth. A better understanding of the inheritance of vigour and its related traits will
assist the breeding activities. Quantitative trait locus (QTL) analyses were performed with the help of an integrated linkage
map of a diploid rose population originating from a cross between Rosa multiflora-derived genotypes. The underlying datasets for ten vigour-related traits were collected in an evaluation study of this population
in two greenhouse experiments with suboptimal temperatures for growth. We identified ten chromosomal regions, scattered over
the seven linkage groups, containing QTLs for these traits. Considering each trait separately, we detected a total of 42 QTLs.
Among these QTLs, 24 were found in both of the experiments, eight and ten were specific to either of the two experiments.
The number of QTLs for individual traits varied from three to five with a respective contribution to the phenotypic variation
from 12 to 35%. QTLs for highly correlated traits frequently co-localized, indicating a common genetic basis. Clustering of
QTLs for different traits was noted in some chromosome regions, for instance, one on chromosome 2 included major QTLs for
eight of ten traits under study, suggesting co-localization of several separate genes or/and the occurrence of various genes
having pleiotropic effects. The discovery of markers associated to QTL regions is in roses the first step towards marker-assisted
selection for vigour improvement enabling the transfer of useful QTL-alleles of R. multiflora to pot and cut roses. 相似文献
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16.
8种水旱环境下2个玉米群体穗部性状QTL间的上位性及环境互作效应分析 总被引：1，自引：0，他引：1
深入剖析干旱胁迫条件下玉米穗部性状的遗传机制可为玉米抗旱高产分子育种提供参考依据。以大穗型旱敏感自交系TS141为共同亲本,分别与小穗型强抗旱自交系廊黄和昌7-2杂交,构建了含有202个(LTPOP)和218个(CTPOP)家系的F2:3群体,在8种水旱环境下进行单穗重、穗轴重、穗粒重、百粒重、出籽率及穗长等6个穗部性状的表型鉴定,并采用复合区间作图法(CIM)和基于混合线性模型的复合区间作图法(MCIM)对其进行单环境和多环境联合数量性状位点(QTL)分析。结果表明,采用CIM法,单环境下在2套F2:3群体间检测到62个穗部性状QTL,其中干旱胁迫环境下检测到38个QTL,进一步在2套F2:3群体多个干旱胁迫环境下检测到10个稳定表达的QTL (sQTL),分别位于Bin 1.01–1.03、Bin 1.03–1.04、Bin 1.05、Bin 1.07、Bin 1.07–1.08、Bin 2.04、Bin 4.08、Bin 5.06–5.07、Bin6.05和Bin 9.04–9.06。采用MCIM法,联合分析定位到54个穗部性状联合QTL,其中24个表现显著的QTL与环境互作(QTL×E), 17对参与了显著的加性与加性/显性(AA/AD)上位性互作,其表型贡献率较低。这些研究结果可为系统地剖析玉米穗部性状的分子遗传机制提供理论依据;且这2套F2:3群体多个环境下检测到的sQTL可作为穗部性状改良的重要候选染色体区段,用于图位克隆或抗旱高产分子育种,但要注重环境及上位性互作效应的影响。 相似文献
17.
In order to identify quantitative trait loci (QTL) for the eating quality of waxy corn and sweet corn (Zea mays L.), QTL analysis was conducted on an F2 population derived from a cross between a waxy corn inbred line and a sweet corn inbred line. Ten QTLs for pericarp thickness (PER), amylose content (AMY), dextrose content (DEX) and sucrose content (SUC) were found in the 158 F2 families. Among them, four QTLs, qAMY4 (10.43%), qAMY9 (19.33%), qDEX4 (21.31%) and qSUC4 (30.71%), may be considered as major QTLs. Three of these, qAMY4, qDEX4 and qSUC4, were found to be located within a region flanked by two adjacent SSR markers on chromosome 4 (umc1088 and bnlg1265), making this SSR marker pair a useful selection tool for screening the eating quality traits of AMY, DEX and SUC. The QTL for amylose content was found to be located between markers phi027 and umc1634, raising the possibility of its identity being the Wx1 gene, which encodes a granule-bound amylose synthase. The new QTLs identified by the present study could serve as useful molecular markers for selecting important eating quality traits in subsequent waxy corn breeding studies. 相似文献
18.
玉米产量及产量相关性状QTL的图谱整合 总被引：10，自引：1，他引：9
利用生物信息学方法,借助高密度分子标记遗传图谱IBM2 2008 neighbors,利用图谱映射和元分析的方法,对不同试验中定位的400个玉米产量及产量相关性状QTL进行了图谱整合,构建了玉米产量及产量相关性状QTL的综合图谱和一致性图谱。结果表明,玉米产量及产量相关性状QTL在10条染色体上呈非均匀分布,第1染色体上最多,第10染色体上最少;发掘出96个玉米产量及产量相关性状的“一致性”QTL;关联性较强的产量性状的QTL常集中在相同或相近的座位上。 相似文献
19.
Flooding stress caused by excessive precipitation and poor drainage threatens upland crop production and food sustainability, so new upland crop cultivars are needed with greater tolerance to soil flooding (waterlogging). So far, however, there have been no reports of highly flooding-tolerant upland crop cultivars, including maize, because of the lack of flooding-tolerant germplasm and the presence of a large number of traits affecting flooding tolerance. To achieve the goal of breeding flooding-tolerant maize cultivars by overcoming these difficulties, we chose highly flooding-tolerant teosinte germplasm. These flooding-tolerance-related traits were separately assessed by establishing a method for the accurate evaluation of each one, followed by performing quantitative trait locus (QTL) analyses for each trait using maize × teosinte mapping populations, developing introgression lines (ILs) or near-isogenic lines (NILs) containing QTLs and pyramiding useful traits. We have identified QTLs for flooding-tolerance-related root traits, including the capacity to form aerenchyma, formation of radial oxygen loss barriers, tolerance to flooded reducing soil conditions, flooding-induced adventitious root formation and shallow root angle. In addition, we have developed several ILs and NILs with flooding-tolerance-related QTLs and are currently developing pyramided lines. These lines should be valuable for practical maize breeding programs focused on flooding tolerance. 相似文献
20.
Xu Wang Jing Zhang Erfei Dong Xiupeng Mei Chaoxian Liu Lian Zhou Yilin Cai 《Plant Breeding》2019,138(5):534-545
A genetically induced increase in the niacin concentration of maize kernels is important for the improvement of kernels nutrition. In this paper, the correlation, heredity and variation of free niacin concentration and total niacin concentration in maize kernels were analysed. The results showed that a low or moderate correlation existed between free niacin concentration and total niacin concentration, and that the heritabilities of the two traits were approximately 70%. Quantitative trait loci (QTL) analysis showed that qFNA4a‐HC and qTNA4a‐HC were detected to have a common marker, umc1294 (Bin4.02), in different populations. In population A, qFNA8b and qTNA8a were detected in two generations or two sites, qTNA8c‐F2 and qFNA8b‐HC have a common interval. These QTLs explained 9.7%–17.3% of phenotypic variation. In population B, qFNA4a, explaining 9.3%–11.2% of phenotypic variation, was detected in two environments. Two marker intervals, umc1294‐bnlg490 (Bin4.02‐4.03) and umc1959‐umc1562 (Bin8.05), harbored the QTL for free niacin concentration and total niacin concentration. Furthermore, among a total of 78 QTLs obtained from all datasets, 19, 9 and 9 QTLs were located in Bin8.05‐8.06, Bin4.02‐4.04 and Bin10.01‐10.03, respectively. 相似文献