Breeding for resistance to aflatoxin accumulation in maize

Contamination of maize,Zea mays, grain with aflatoxin, a naturally occurring toxin produced byAspergillus flavus, frequently reduces the value and marketability of maize produced in the southern USA. Drought, high temperatures, and insect damage are often associated with high levels of maize aflatoxin contamination. Growing resistant maize hybrids is generally considered the most feasible method of reducing or eliminatingA. flavus infection and subsequent accumulation of aflatoxin. Developing appropriate screening techniques and identifying maize germplasm with resistance to aflatoxin contamination provides the foundation for a breeding program. Only a few sources of aflatoxin resistance have been identified. Four germplasm lines (Mp313E, Mp420, Mp715, and Mp717) have been developed and released by USDA-ARS at Mississippi State University. NC 388, developed at North Carolina State University, is reported as another putative source of aflatoxin resistance. Conventional phenotypic selection was used to successfully combine resistance to aflatoxin contamination from two of these lines, Mp313E and Mp715, with desirable agronomic qualities from Va35. The identification of quantitative trait loci (QTL) associated with resistance to aflatoxin contamination will also permit the use of marker assisted selection in transferring resistance into elite germplasm lines. Development of parental inbreds that combine aflatoxin resistance with superior agronomic quality is an essential component of a hybrid maize breeding program designed to reduce or eliminate aflatoxin contamination.     

Quantitative trait loci (QTL) for reducing aflatoxin accumulation in corn

Aflatoxin produced by Aspergillus flavus in corn poses significant health risks to both humans and livestock. Exploitation of host-plant resistance in breeding programs is a sustainable way to minimize aflatoxin contamination. Identification of quantitative trait loci (QTL) associated with resistance to aflatoxin accumulation in kernels can accelerate development of aflatoxin-resistant corn using marker-assisted selection. An F_2:3 mapping population, developed from a cross involving a resistant inbred Mp715 and a susceptible inbred B73, was evaluated in replicated field trials with developing ears artificially inoculated with A. flavus for 2 years to identify QTL for reduced aflatoxin accumulation. Using composite interval mapping, 6 to 7 QTL for aflatoxin content were identified in both years with contribution of individual QTL ranging from <1 to 10% of phenotypic variation. More QTL were detected for husk coverage with phenotypic variance range of <1 to 16% explained by individual QTL. Both B73 and Mp715 alleles at these QTL loci contributed toward resistance. Husk coverage and aflatoxin levels were significantly correlated in both years. Our findings were further supported by overlapping of QTL for husk coverage ratings in four genomic regions on chromosomes 4, 8, and 10, where aflatoxin resistance QTL were reported in previous studies. Since most of the QTL were of low to moderate effects, pyramiding of these QTL may lead to enhanced resistance to aflatoxin accumulation in corn.     

Identification of novel QTL contributing resistance to aflatoxin accumulation in maize

The toxic metabolic product aflatoxin produced by the opportunistic fungus Aspergillus flavus (Link:Fr) in maize (Zea mays L.) can cause disease and economic harm when levels exceed very minute quantities. The selection of resistant germplasm has great potential to reduce the problem, but the highly quantitative nature of the trait makes this a difficult endeavor. The identification of aflatoxin accumulation resistance quantitative trait loci (QTL) from resistant donor lines and the discovery of linked markers could speed this task. To identify marker–trait associations for marker-assisted breeding, a genetic mapping population of F_2:3 families was developed from Mp715, a maize inbred line resistant to aflatoxin accumulation, and T173, a susceptible, southern-adapted maize inbred line. QTL, some with large phenotypic effects, were identified in multiple years on chromosomes 1, 3, 5, and 10, and smaller QTL identified in only 1 year were found on chromosomes 4 and 9. The phenotypic effect of each QTL ranged from 2.7 to 18.5%, and models created with multiple QTL could explain up to 45.7% of the phenotypic variation across years, indicating that the variation associated with the trait can be manipulated using molecular markers.     

Quantitative trait locus mapping of resistance to Aspergillus flavus infection using a recombinant inbred line population in maize

Aflatoxin contamination of maize (Zea mays L.) grain caused by Aspergillus flavus is a serious health hazard to animals and humans. Development of maize varieties resistant to A. flavus infection and/or aflatoxin production can reduce this contamination. This study was conducted to identify quantitative trait loci (QTL) associated with resistance to A. flavus infection. A recombinant inbred line population was developed derived from RA, a maize inbred line resistant to A. flavus infection, and M53, a susceptible inbred line. After inoculation with A. flavus under controlled conditions, the kernels from each plant line grown in three different environments were evaluated for infection level. Categorical inoculation data were collected for each plant line based on the percentage of the kernel surface covered by fungal conidia. Significant genotypic variation in infection level was observed in all environments. Based on a genetic map containing 916 polymorphic simple sequence repeat and single nucleotide polymorphism markers, the resistance QTL were initially analyzed by composite interval mapping (CIM) separately for each environment. One QTL in bin 5.03 was detected in all environments, and seven other QTL were identified in one environment. Next, a mixed model based on CIM (MCIM) was employed for QTL analysis using data from the three environments simultaneously. Significant epistasis and epistasis × environment interaction to A. flavus infection were revealed. The QTL in bin 5.03 was repeatedly detected by the MCIM. This QTL explained the largest phenotypic variation among all of the detected QTL and could be considered as a major QTL for use in breeding for A. flavus resistance.     

Occurrence of aflatoxin in three maize (<Emphasis Type="Italic">Zea mays</Emphasis> L.) hybrids over 5 years in Northern Mississippi

Aflatoxins are produced as secondary metabolites under conducive climatic conditions by Aspergillus flavus. The incidence of aflatoxin varies with environmental conditions, genotype, and location. An expanded understanding of the interaction of the plant, fungus, and weather conditions is needed to further elucidate the field infection process of maize by A. flavus and subsequent aflatoxin contamination. One of the problems in evaluating maize hybrids for resistance to kernel infection and aflatoxin contamination is identifying a time period and environmental conditions that are most advantageous. Three maize genotypes (Pioneer Brand 3223, Mo18W × Mp313E, and Mp313E × Mp420) were evaluated from 1998 to 2002 in response to A. flavus inoculation and aflatoxin contamination and weather conditions favorable for aflatoxin contamination were identified. The highest aflatoxin levels were observed in 1998 and 2000 (1186 and 901 ng g⁻¹; P < 0.0001); while the lowest levels were detected in 1999 (39 ng g⁻¹). Pioneer 3223 had significantly higher levels (1198 ng g⁻¹) than Mp313E × Mp420 (205 ng g⁻¹), and Mo18W ×Mp313E (161 ng g⁻¹; P < 0.0001). The hybrids had six weather-related variables in common that were positively correlated with aflatoxin accumulation. Four of these occurred during 65–85 days after planting and were temperature-related. These results suggest that regardless of the hybrid’s maturity or physiological development, the time from 65 to 85 days after planting may be indicative of a period of stress which leads to greater aflatoxin accumulation at harvest. The U.S. Government's right to retain a non-exclusive, royalty-free license in and to any copyright is acknowledged.     

Genetic marker discovery,intraspecific linkage map construction and quantitative trait locus analysis of ascochyta blight resistance in chickpea (Cicer arietinum L.)

Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Labr., is a highly destructive disease of chickpea (Cicer arietinum L.) on a global basis, and exhibits considerable natural variation for pathogenicity. Different sources of ascochyta blight resistance are available within the cultivated species, suitable for pyramiding to improve field performance. Robust and closely linked genetic markers are desirable to facilitate this approach. A total of 4,654 simple sequence repeat (SSR) and 1,430 single nucleotide polymorphism (SNP) markers were identified from a chickpea expressed sequence tag (EST) database. Subsets of 143 EST–SSRs and 768 SNPs were further used for validation and subsequent high-density genetic mapping of two intraspecific mapping populations (Lasseter × ICC3996 and S95362 × Howzat). Comparison of the linkage maps to the genome of Medicago truncatula revealed a high degree of conserved macrosynteny. Based on field evaluation of ascochyta blight incidence performed over 2 years, two genomic regions containing resistance determinants were identified in the Lasseter × ICC3996 family. In the S95362 × Howzat population, only one quantitative trait locus (QTL) region was identified for both phenotypic evaluation trials, which on the basis of bridging markers was deduced to coincide with one of the Lasseter × ICC3996 QTLs. Of the two QTL-containing regions identified in this study, one (ab_QTL1) was predicted to be in common with QTLs identified in prior studies, while the other (ab_QTL2) may be novel. Markers in close linkage to ascochyta blight resistance genes that have been identified in this study can be further validated and effectively implemented in chickpea breeding programs.     

Cytonuclear epistatic quantitative trait locus mapping for plant height and ear height in maize

Plant height (PH) and ear height (EH) are important traits in maize (Zea mays L.) breeding. Previous research has indicated that these traits are influenced by quantitative trait loci (QTL). However, previous studies attempting to identify the genetic bases of PH and EH have ignored the possibility that cytoplasmic effects and cytonuclear interactions may influence these traits. The objectives of this study were to identify the cytonuclear epistatic QTL and to evaluate the contributions of cytoplasm and QTL × cytoplasm interactions to phenotypic variation of PH and EH. A reciprocal mating design was conducted to generate F2 mapping populations comprising 120 F2 plants from the direct cross (JB × Y53) and 120 F2 plants from the reciprocal cross (Y53 × JB). F2:3 mapping populations were further generated with 91 direct F2:3 families and 120 reciprocal F2:3 families (ten plants per family). The PH and EH of the above F2 and F2:3 mapping populations were evaluated in the same field at the same experimental station in 2007 and 2008. A genetic linkage map with 154 microsatellite markers was constructed, which covered 1,735.0 cM of the maize genome with an average marker spacing of 11.3 cM. A joint-analysis method incorporating the cytonuclear interaction mapping approach was proposed and performed to detect cytonuclear interacting QTL affecting PH and EH. We identified six cytonuclear epistatic QTL affecting PH and five affecting EH. The average phenotypic variance explained by the genetic components of the QTL × cytoplasm interaction for each QTL was 18 % for PH and 9 % for EH. In addition, we observed cytoplasmic effects contributing substantially to phenotypic variance, reaching 9 and 40 % of the phenotypic contributions to PH and EH, respectively.     

Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments

Key Message

Twelve major QTL in five optimal clusters and several epistatic QTL are identified for maize kernel size and weight, some with pleiotropic will be promising for fine-mapping and yield improvement.

Abstract

Kernel size and weight are important target traits in maize (Zea mays L.) breeding programs. Here, we report a set of quantitative trait loci (QTL) scattered through the genome and significantly controlled the performance of four kernel traits including length, width, thickness and weight. From the cross V671 (large kernel) × Mc (small kernel), 270 derived F_2:3 families were used to identify QTL of maize kernel-size traits and kernel weight in five environments, using composite interval mapping (CIM) for single-environment analysis along with mixed linear model-based CIM for joint analysis. These two mapping strategies identified 55 and 28 QTL, respectively. Among them, 6 of 23 coincident were detected as interacting with environment. Single-environment analysis showed that 8 genetic regions on chromosomes 1, 2, 4, 5 and 9 clustered more than 60 % of the identified QTL. Twelve stable major QTLs accounting for over 10 % of phenotypic variation were included in five optimal clusters on the genetic region of bins 1.02–1.03, 1.04–1.06, 2.05–2.07, 4.07–4.08 and 9.03–9.04; the addition and partial dominance effects of significant QTL play an important role in controlling the development of maize kernel. These putative QTL may have great promising for further fine-mapping with more markers, and genetic improvement of maize kernel size and weight through marker-assisted breeding.     

Mapping QTL for grain yield and other agronomic traits in post-rainy sorghum [Sorghum bicolor (L.) Moench]

Sorghum, a cereal of economic importance ensures food and fodder security for millions of rural families in the semi-arid tropics. The objective of the present study was to identify and validate quantitative trait loci (QTL) for grain yield and other agronomic traits using replicated phenotypic data sets from three post-rainy dry sorghum crop seasons involving a mapping population with 245 F₉ recombinant inbred lines derived from a cross of M35-1 × B35. A genetic linkage map was constructed with 237 markers consisting of 174 genomic, 60 genic and 3 morphological markers. The QTL analysis for 11 traits following composite interval mapping identified 91 QTL with 5–12 QTL for each trait. QTL detected in the population individually explained phenotypic variation between 2.5 and 30.3 % for a given trait and six major genomic regions with QTL effect on multiple traits were identified. Stable QTL across seasons were identified. Of the 60 genic markers mapped, 21 were found at QTL peak or tightly linked with QTL. A gene-based marker XnhsbSFCILP67 (Sb03g028240) on SBI-03, encoding indole-3-acetic acid-amido synthetase GH3.5, was found to be involved in QTL for seven traits. The QTL-linked markers identified for 11 agronomic traits may assist in fine mapping, map-based gene isolation and also for improving post-rainy sorghum through marker-assisted breeding.     

Introgression of homeologous quantitative trait loci (QTLs) for resistance to the root-knot nematode [Meloidogyne arenaria (Neal) Chitwood] in an advanced backcross-QTL population of peanut (Arachis hypogaea L.)

Resistance to root-knot nematodes [Meloidogyne arenaria (Neal) Chitwood] is needed for cultivation of peanut in major peanut-growing areas, but significant resistance is lacking in the cultivated species (Arachis hypogaea L.). Markers to two closely-linked genes introgressed from wild relatives of peanut have been identified previously, but phenotypic evidence for the presence of additional genes in wild species and introgression lines has eluded quantitative trait locus (QTL) identification. Here, to improve sensitivity to small-effect QTLs, an advanced backcross population from a cross between a Florunner component line and the synthetic amphidiploid TxAG-6 [Arachis batizocoi × (A. cardenasii × A. diogoi)]^4× was screened for response to root-knot nematode infection. Composite interval mapping results suggested a total of seven QTLs plus three putative QTLs. These included the known major resistance gene plus a second QTL on LG1, and a potentially homeologous B-genome QTL on LG11. Additional potential homeologs were identified on linkage group (LG) 8 and LG18, plus a QTL on LG9.2 and putative QTLs on LG9.1 and 19. A QTL on LG15 had no inferred resistance-associated homeolog. Contrary to expectation, two introgressed QTLs were associated with susceptibility, and QTLs at some homeologous loci were found to confer opposite phenotypic responses. Long-term functional conservation accompanied by rapid generation of functionally divergent alleles may be a singular feature of NBS-LRR resistance gene clusters, contributing to the richness of resistance alleles available in wild relatives of crops. The significance for peanut evolution and breeding is discussed.     

Identification of quantitative trait loci for cane splitting in red raspberry (Rubus idaeus)

Cane splitting, a normal feature of raspberry growth, can lead to plant infestation by cane midge followed by fungal infection, with losses in yield of up to 50 % if left untreated. The extent of splitting in the Latham × Glen Moy reference mapping population was assessed over six years and in three environments and quantitative trait loci (QTL) were identified across linkage groups (LG) 2, 3, 5 and 6. Cane splitting QTL on LG 3 and 5 co-locate with QTL for plant vigour. The cane splitting QTL on LG 6 is associated with the QTL for resistance to root rot caused by Phytophthora rubi. Broad-sense heritability for cane splitting ranged from 25.6 % in 2007 to 49.1 % in 2008 in this population. Season and environment were also found to influence cane splitting in this population. Several genes involved in general plant growth and in defence responses lie within these QTL. This is a first step towards identifying the genetic basis of cane splitting in raspberry and the development of genetic markers for use in raspberry breeding programmes.     

Fine mapping of quantitative trait loci for acid phosphatase activity in maize leaf under low phosphorus stress

Acid phosphatase (APase) is very important in phosphorus (P) scavenging and remobilization in plants. The aim of this study was the fine mapping of quantitative trait loci (QTL) for APase activity (APA) in maize (Zea mays L.) leaf. The QTL for APA were studied in the F2:3 population derived from the cross 082 × Ye107 under low P stress in two sites. A significant difference in APA was found between 082 (P-efficient genotype) and Ye107 (P-deficient genotype). Each environment was analyzed to identify the QTL. Six QTL for APA were found, comprising two QTL at Beibei (BB) and four QTL at Hechuan (HC), China. A QTL denoted as AP9 showed a stable expression under different environments on chromosome 9, and explained 10.21 and 16.81 % of phenotypic variation at BB and HC, respectively. For the fine mapping of this QTL, seven individuals selected via marker-assisted selection in the BC3F1 population were used to produce the BC3F2 lines by selfing and to allow recombination within the region containing the target QTL. High-resolution genetic and physical maps were further constructed for the fine mapping of AP9 using 12 simple sequence repeat markers and the BC3F2 population consisting of 1,441 individuals. As a result, the location of AP9 was narrowed down to a 546-kb fragment on chromosome 9.     

Linkage mapping and identification of QTL affecting deoxynivalenol (DON) content (Fusarium resistance) in oats (Avena sativa L.)

Mycotoxins caused by Fusarium spp. is a major concern on food and feed safety in oats, although Fusarium head blight (FHB) is often less apparent than in other small grain cereals. Breeding resistant cultivars is an economic and environment-friendly way to reduce toxin content, either by the identification of resistance QTL or phenotypic evaluation. Both are little explored in oats. A recombinant-inbred line population, Hurdal × Z595-7 (HZ595, with 184 lines), was used for QTL mapping and was phenotyped for 3 years. Spawn inoculation was applied and deoxynivalenol (DON) content, FHB severity, days to heading and maturity (DH and DM), and plant height (PH) were measured. The population was genotyped with DArTs, AFLPs, SSRs and selected SNPs, and a linkage map of 1,132 cM was constructed, covering all 21 oat chromosomes. A QTL for DON on chromosome 17A/7C, tentatively designated as Qdon.umb-17A/7C, was detected in all experiments using composite interval mapping, with phenotypic effects of 12.2–26.6 %. In addition, QTL for DON were also found on chromosomes 5C, 9D, 13A, 14D and unknown_3, while a QTL for FHB was found on 11A. Several of the DON/FHB QTL coincided with those for DH, DM and/or PH. A half-sib population of HZ595, Hurdal × Z615-4 (HZ615, with 91 lines), was phenotyped in 2011 for validation of QTL found in HZ595, and Qdon.umb-17A/7C was again localized with a phenotypic effect of 12.4 %. Three SNPs closely linked to Qdon.umb-17A/7C were identified in both populations, and one each for QTL on 5C, 11A and 13A were identified in HZ595. These SNPs, together with those yet to be identified, could be useful in marker-assisted selection to pyramiding resistance QTL.     

Identification of large-effect QTL for kernel row number has potential for maize yield improvement

The kernel row number (KRN) per ear is an important component of maize (Zea mays L.) yield. In this study, a line with six kernel rows, MT-6, was used to investigate the genetic basis of KRN by quantitative trait locus (QTL) mapping. MT-6 was derived from a maize inbred line Mo17 and a teosinte entry X26-4 (Zea mays ssp. mexicana), with 23 % of its genome being homologous to X26-4. An MT-6/B73 F₂ segregating population consisting of 266 individuals was genotyped using 192 molecular markers spread evenly across the genome. The same F₂ population, together with its F_2:3 population, was phenotyped for KRN in three environments. Five individual QTL for KRN, including three substantially consistent major QTL detected in all environments, were identified on chromosomes 1, 2, 3, 4, and 5, respectively. These QTL accounted for 39.5–65.0 % of the KRN variation in these populations. Additionally, one pair of epistatic interaction between two loci with additive effects was detected and accounted for about 3 % of KRN variation. These results demonstrate that a few major QTL could substantially affect the evolution of maize KRNs and therefore provide valuable information for our understanding of the mechanism of KRN and the improvement in maize grain yield by molecular breeding.     

Identification of quantitative trait loci (QTL) for fruit-quality traits and number of weeks of flowering in the cultivated strawberry

Fruit quality and repeat flowering are two major foci of several strawberry breeding programs. The identification of quantitative trait loci (QTL) and molecular markers linked to these traits could improve breeding efficiency. In this work, an F₁ population derived from the cross ‘Delmarvel’ × ‘Selva’ was used to develop a genetic linkage map for QTL analyses of fruit-quality traits and number of weeks of flowering. Some QTL for fruit-quality traits were identified on the same homoeologous groups found in previous studies, supporting trait association in multiple genetic backgrounds and utility in multiple breeding programs. None of the QTL for soluble solids colocated with a QTL for titratable acids, and, although the total soluble solid contents were significantly and positively correlated with titratable acids, the correlation coefficient value of 0.2452 and independence of QTL indicate that selection for high soluble solids can be practiced independently of selection for low acidity. One genomic region associated with the total number of weeks of flowering was identified quantitatively on LG IV-S-1. The most significant marker, FxaACAO2I8C-145S, explained 43.3 % of the phenotypic variation. The repeat-flowering trait, scored qualitatively, mapped to the same region as the QTL. Dominance of the repeat-flowering allele was demonstrated by the determination that the repeat-flowering parent was heterozygous. This genomic region appears to be the same region identified in multiple mapping populations and testing environments. Markers linked in multiple populations and testing environments to fruit-quality traits and repeat flowering should be tested widely for use in marker-assisted breeding.     

Quantitative trait loci for resistance to Maize rayado fino virus

Maize rayado fino virus (MRFV) causes one of the most important virus diseases of maize in regions of Mexico, Central and South America, where it causes moderate to severe yield losses. The virus is found from the southern USA to northern Argentina where its vector, the maize leafhopper Dalbulus maidis, is present. Although resistance to MRFV has been identified in tropical maize lines, little was known about genes or quantitative trait locus (QTL) conferring resistance to MRFV. In order to identify the location of genes conferring resistance to MRFV, two recombinant inbred line mapping populations that segregated for MRFV resistance were inoculated using viruliferous leafhoppers, and their responses to virus inoculation were evaluated under greenhouse conditions 7, 14 and 21 days post inoculation. A QTL explaining up to 23 % of the total phenotypic variance was mapped on chromosome 10 in both populations, with similar genetic and physical positions identified in the two populations. The magnitude of the QTL effect and the validation in two independent populations suggests that resistance to MFRV could be transferred into elite breeding lines to develop resistant cultivars.     

Mapping soybean aphid resistance genes in PI 567598B

The soybean aphid (Aphis glycines Matsumura) has been a major pest of soybean [Glycine max (L.) Merr.] in North America since it was first reported in 2000. Our previous study revealed that the strong aphid resistance of plant introduction (PI) 567598B was controlled by two recessive genes. The objective of this study was to locate these two genes on the soybean genetic linkage map using molecular markers. A mapping population of 282 F_4:5 lines derived from IA2070 × E06902 was evaluated for aphid resistance in a field trial in 2009 and a greenhouse trial in 2010. Two quantitative trait loci (QTLs) were identified using the composite and multiple interval mapping methods, and were mapped on chromosomes 7 (linkage group M) and 16 (linkage group J), respectively. E06902, a parent derived from PI 567598B, conferred resistance at both loci. In the 2010 greenhouse trial, each of the two QTLs explained over 30 % of the phenotypic variation. Significant epistatic interaction was also found between these two QTLs. However, in the 2009 field trial, only the QTL on chromosome 16 was found and it explained 56.1 % of the phenotypic variation. These two QTLs and their interaction were confirmed with another population consisting of 94 F_2:5 lines in the 2008 and 2009 greenhouse trials. For both trials in the alternative population, these two loci explained about 50 and 80.4 % of the total phenotypic variation, respectively. Our study shows that soybean aphid isolate used in the 2009 field trial defeated the QTL found on chromosome 7. Presence of the QTL on chromosome 16 conferred soybean aphid resistance in all trials. The markers linked to the aphid-resistant QTLs in PI 567598B or its derived lines can be used in marker-assisted breeding for aphid resistance.     

QTL mapping of resistance to Fusarium ear rot using a RIL population in maize

Fusarium ear rot is a prevalent disease in maize, reducing grain yields and quality. Resistance breeding is an efficient way to minimize losses caused by the disease. In this study, 187 lines from a RIL population along with the resistant (87-1) and susceptible (Zong 3) parents were planted in Zhengzhou and Beijing with three replications in years 2004 and 2006. Each line was artificially inoculated using the nail-punch method. Significant genotypic variation in response to Fusarium ear rot was detected in both years. Based on a genetic map containing 246 polymorphic SSR markers with average genetic distances of 9.1 cM, the ear-rot resistance QTL were firstly analyzed by composite interval mapping (CIM). Three QTL were detected in both Zhengzhou and Beijing in 2004; and three and four QTL, respectively, were identified in 2006. The resistant parent contributed all resistance QTL. By using composite interval mapping and a mixed model (MCIM), significant epistatic effects on Fusarium ear rot as well as interactions between mapped loci and environments were observed across environments. Two QTL on chromosome 3 (3.04 bin) were consistently identified across all environments by the two methods. The major resistant QTL with the largest effect was flanked by markers umc1025 and umc1742 on chromosome 3 (3.04 bin), explaining 13–22% of the phenotypic variation. The SSR markers closely flanking the major resistance QTL will facilitate marker-assisted selection (MAS) of resistance to Fusarium ear rot in maize breeding programs.     

QTL mapping for test weight by using F<Subscript><Emphasis Type="Bold">2:3</Emphasis></Subscript> population in maize

Test weight is an important trait in maize breeding. Understanding the genetic mechanism of test weight is important for effective selection of maize test weight improvement. In this study, quantitative trait loci (QTL) for maize test weight were identified. In the years 2007 and 2008, a F_2:3 population along with the parents Chang7-2 and Zheng58 were planted in Zhengzhou, People’s Republic of China. Significant genotypic variation for maize test weight was observed in both years. Based on the genetic map containing 180 polymorphic SSR markers with an average linkage distance of 11.0 cM, QTL for maize test weight were analysed by mixed-model composite interval mapping. Five QTL, including four QTL with only additive effects, were identified on chromosomes 1, 2, 3, 4 and 5, and together explained 25.2% of the phenotypic variation. Seven pairs of epistatic interactions were also detected, involving 11 loci distributed on chromosomes 1, 2, 3, 4, 5 and 7, respectively, which totally contributed 18.2% of the phenotypic variation. However, no significant QTL × environment (Q×E) interaction and epistasis × environment interaction effects were detected. The results showed that besides the additive QTL, epistatic interactions also formed an important genetic basis for test weight in maize.     

QTL mapping of black rot (Guignardia bidwellii) resistance in the grapevine rootstock ‘Börner’ (V. riparia Gm183 × V. cinerea Arnold)

Key message

In the grapevine cultivar ‘Börner’ QTLs for black rot resistance were detected consistently in several independent experiments. For one QTL on chromosome 14 closely linked markers were developed and a detailed map provided.

Abstract

Black rot is a serious grapevine disease that causes substantial yield loss under unfavourable conditions. All traditional European grapevine cultivars are susceptible to the causative fungus Guignardia bidwellii which is native to North America. The cultivar ‘Börner’, an interspecific hybrid of V. riparia and V. cinerea, shows a high resistance to black rot. Therefore, a mapping population derived from the cross of the susceptible breeding line V3125 (‘Schiava grossa’ × ‘Riesling’) with ‘Börner’ was used to carry out QTL analysis. A resistance test was established based on potted plants which were artificially inoculated in a climate chamber with in vitro produced G. bidwellii spores. Several rating systems were developed and tested. Finally, a five class scheme was applied for scoring the level of resistance. A major QTL was detected based on a previously constructed genetic map and data from six independent resistance tests in the climate chamber and one rating of natural infections in the field. The QTL is located on linkage group 14 (Rgb1) and explained up to 21.8 % of the phenotypic variation (LOD 10.5). A second stable QTL mapped on linkage group 16 (Rgb2; LOD 4.2) and explained 8.5 % of the phenotypic variation. These two QTLs together with several minor QTLs observed on the integrated map indicate a polygenic nature of the black rot resistance in ‘Börner’. A detailed genetic map is presented for the locus Rgb1 with tightly linked markers valuable for the development for marker-assisted selection for black rot resistance in grapevine breeding.