Identification and mapping of fruit rot resistance QTL in American cranberry using GBS

Sustainability of the cranberry industry is threatened by widespread and increasing losses due to fruit rot in the field as well as increasing restrictions on fungicide inputs. Breeding for resistance offers a partial solution but is challenging because fruit rot is caused by a complex of pathogenic fungi that can vary by location and from year to year. We identified four genetically diverse germplasm accessions that exhibit broad-spectrum fruit rot resistance under field conditions. Three of these accessions were used in biparental crosses to develop four populations segregating for resistance. Genotyping by sequencing was used to generate single-nucleotide polymorphism (SNP) markers for development of high-density genetic maps and quantitative trait locus (QTL) analyses. Nineteen QTL associated with fruit rot resistance, distributed on nine linkage groups, were discovered in our populations. Three of these QTL matched previously reported fruit rot resistance QTL. Four newly reported QTL found on linkage group 8 (Vm8), which explain between 21 and 33% of the phenotypic variance for fruit rot, are of particular interest to our breeding program. The populations described herein were also phenotyped for other horticulturally important traits, and QTL associated with yield and berry weight were identified. These QTL provide markers for candidate gene discovery and for future breeding efforts to enhance and pyramid disease resistance and other traits into elite horticultural backgrounds.     

Analysis and mapping of Rhizoctonia root rot resistance traits from the synthetic wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) line SYN-172

The prevalence of root disease after planting in cold spring soils has hindered the adoption of reduced or no-tillage cereal cropping systems in the Pacific Northwest. In particular, R. solani AG8, a necrotrophic root pathogen, can cause significant damage to wheat stands under these conditions. In previous efforts to find root rot resistance, a CIMMYT synthetic wheat line, SYN-172, was found to have little to no seedling stunting from disease and lower root disease scores. To identify trait-maker associations, a population consisting of 150 BC₁F₅ recombinant inbred lines from a cross of “Louise,” a typically susceptible Pacific Northwest (PNW) cultivar, and SYN-172 was created. A total of 689 polymorphic markers were used to identify trait-marker associations for seedling stunting in field green bridge and growth chamber environments. In total, five quantitative trait loci (QTL) were found on chromosome arms 1AL, 2AL, 5BL, 7DS, and 7DL. One QTL, on chromosome 2AL, was consistently detected in all four of the environments tested, and originated from SYN-172. A second QTL on 7DL, originating from the susceptible parent Louise, was found consistently in all three of the field environments, but not in soils artificially infested with R. solani AG8. These QTL have not been previously reported and will be useful root rot resistance genes when transferred into the PNW spring wheat germplasm.     

Identification,characterisation and mapping of simple sequence repeat (SSR) markers from raspberry root and bud ESTs

Raspberry breeding is a long, slow process in this highly heterozygous out-breeder. Selections for complex traits like fruit quality are broad-based and few simple methodologies and resources are available for glasshouse and field screening for key pest and disease resistances. Additionally, the timescale for selection of favourable agronomic traits requires data from different seasons and environmental locations before any breeder selection can proceed to finished cultivar. Genetic linkage mapping offers the possibility of a more knowledge-based approach to breeding through linking favourable traits to markers and candidate genes on genetic linkage maps. To further increase the usefulness of existing maps, a set of 25 polymorphic SSRs derived from expressed sequences (EST-SSRs) have been developed in red raspberry (Rubus idaeus). Two different types of expressed sequences were targeted. One type was derived from a root cDNA library as a first step in assessing sequences which may be involved in root vigour and root rot disease resistance and the second type were ESTs from a gene discovery project examining bud dormancy release and seasonality. The SSRs detect between 2 and 4 alleles per locus and were assigned to linkage groups on the existing ‘Glen Moy’ × ‘Latham’ map following genotyping of 188 progeny and examined for association with previously mapped QTL. The loci were also tested on a diverse range of Rubus species to determine transferability and usefulness for germplasm diversity studies and the introgression of favourable alleles.     

<Emphasis Type="Bold">‘</Emphasis>MN1606SP’ by ‘Spencer’ filial soybean population reveals novel quantitative trait loci and interactions among loci conditioning SDS resistance

Key message

Four novel QTL and interactions among QTL were identified in this research, using as a parent line the most SDS-resistant genotype within soybean cultivars of the US early maturity groups.

Abstract

Soybean sudden death syndrome (SDS) reduces soybean yield in most of the growing areas of the world. The causal agent of SDS, soilborne fungus Fusarium virguliforme (Fv), releases phytotoxins taken up by the plant to produce chlorosis and necrosis in the leaves. Planting resistant cultivars is the most successful management practice to control the disease. The objective of this study was to identify quantitative trait loci (QTL) associated with the resistance response of MN1606SP to SDS. A mapping population of F _2:3 lines created by crossing the highly resistant cultivar ‘MN1606SP’ and the susceptible cultivar ‘Spencer’ was phenotyped in the greenhouse at three different planting times, each with three replications. Plants were artificially inoculated using SDS infested sorghum homogeneously mixed with the soil. Data were collected on three disease criteria, foliar disease incidence (DI), foliar leaf scorch disease severity (DS), and root rot severity. Disease index (DX) was calculated as DI × DS. Ten QTL were identified for the different disease assessment criteria, three for DI, four for DX, and three for root rot severity. Three QTL identified for root rot severity and one QTL for disease incidence are considered novel, since no previous reports related to these QTL are available. Among QTL, two interactions were detected between four different QTL. The interactions suggest that resistance to SDS is not only dependent on additive gene effects. The novel QTL and the interactions observed in this study will be useful to soybean breeders for improvement of SDS resistance in soybean germplasm.

     

Biochar effect on severity of soybean root disease caused by <Emphasis Type="Italic">Fusarium virguliforme</Emphasis>

Background and aims

Biochar is known to decrease soil bulk density, increase nutrient and water retention, and to suppress certain soil-borne pathogens. The aims of our glasshouse and field experiments were to; 1) determine whether biochar amendments impact the severity of soybean root rot caused by Fusarium virguliforme; 2) to determine if biochar reduces severity of root rot by changes in physicochemical properties of soil; 3) whether biochar induces systemic resistance to root rot in soybean plants.

Results

Results of the first glasshouse pot study indicate that biochars differ significantly in their effect on root rot caused by F. virguliforme, as two of eight biochars significantly suppressed root rot severity. Results for the second glasshouse pot study indicate that disease suppression was not related to changes in soil physicochemical properties (bulk density, soil moisture, soil pH). A third split-root experiment provided no evidence that biochar amendments are capable of inducing systemic resistance in soybean plants. Results of the small plot experiment proved that biochar was effective at reducing visual above ground symptoms of SDS, but did not affect soybean grain yields.

Conclusions

Both systemic and indirect effects of biochar on SDS root rot severity have been eliminated in the present study; further research is needed to determine whether suppression of root rot severity is related to changes in soil microbial communities induced by biochar.

     

Molecular mapping of genomic regions associated with wheat seedling growth under osmotic stress

A quantitative trait loci (QTL) approach was applied to dissect the genetic control of the common wheat seedling response to osmotic stress. A set of 114 recombinant inbred lines was subjected to osmotic stress from the onset of germination to the 8^th day of seedling development, induced by the presence of 12 % polyethylene glycol. Root, coleoptile and shoot length, and root/shoot length ratio were compared under stress and control conditions. In all, 35 QTL mapping to ten chromosomes, were identified. Sixteen QTL were detected in controls, 17 under stressed conditions, and two tolerance index QTL were determined. The majority of the QTL were not stress-specific. In regions on five chromosome arms (1AS, 1BL, 2DS, 5BL and 6BL) the QTL identified under stress co-mapped with QTL affecting the same trait in controls, and these were classified as seedling vigour QTL, in addition to those expressed in controls. Tolerance-related QTL were detected on four chromosome arms. A broad region on chromosome 1AL, including five QTL, with a major impact of the gene Glu-A1 (LOD 3.93) and marker locus Xksuh9d (LOD 2.91), positively affected root length under stress and tolerance index for root length, respectively. A major QTL (LOD 3.60), associated with marker locus Xcdo456a (distal part of chromosome arm 2BS) determined a tolerance index for shoot length. Three minor QTL (LOD < 3.0) for root length and root/shoot length ratio under osmotic stress were identified in the distal parts of chromosome arms 6DL (marker locus Xksud27a) and 7DL (marker locus Xksue3b). Selecting for the favourable alleles at marker loci associated with the detected QTL for growth traits may represent an efficient approach to enhance the plants’ ability to maintain the growth of roots, coleoptile and shoots in drought-prone soils at the critical early developmental stages.     

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.     

Enhancing Fusarium crown rot resistance by pyramiding large-effect QTL in common wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)

Fusarium crown rot (FCR) has become one of the most damaging cereal diseases in semi-arid regions worldwide. Targeting three large-effect QTL (located on the chromosome arm 3BL, 5DS and 2DL, respectively), we investigated the feasibility of enhancing FCR resistance by gene pyramiding. Significant effects were detected for each of the three QTL in both populations assessed. Lines with any combination of two resistant alleles gave significantly better resistance than those with a single resistant allele only and those without any allele, and lines possessing all three resistant alleles showed the best resistance. These results demonstrated that gene pyramiding can be an effective approach in improving FCR resistance. Those lines with resistant alleles from all three QTL could be valuable genetic stocks for breeding programs.     

Identification of charcoal rot resistance QTLs in sorghum using association and <Emphasis Type="Italic">in silico</Emphasis> analyses

Charcoal rot disease, a root and stem disease caused by the soil-borne fungus Macrophomina phaseolina (Tassi) Goid., is a major biotic stress that limits sorghum productivity worldwide. Charcoal rot resistance-related parameters, e.g., pre-emergence damping-off%, post-emergence damping-off%, charcoal rot disease severity, and plant survival rates, were measured in a structured sorghum population consisting of 107 landraces. Analysis of variance of charcoal rot resistance-related parameters revealed significant variations in the response to M. phaseolina infection within evaluated accessions. Continuous phenotypic variations for resistance-related parameters were observed indicating a quantitative inheritance of resistance. The population was genotyped using 181 simple sequence repeat (SSR) markers. Association analysis identified 13 markers significantly associated with quantitative trait genes (QTLs) conferring resistance to charcoal rot disease with an R² value ranging between 9.47 to 18.87%, nine of which are environment-specific loci. Several QTL-linked markers are significantly associated with more than one resistance-related parameter, suggesting that those QTLs might contain genes involved in the plant defense response. In silico analysis of four novel major QTLs identified 11 putative gene homologs that could be considered as candidate genes for resistance against charcoal rot disease. Cluster analysis using the genotypic data of 181 SSR markers from 107 sorghum accessions identified 12 main clusters. The results provide a basis for further functional characterization of charcoal rot disease resistance or defense genes in sorghum and for further dissection of their molecular mechanisms.     

大豆种质对疫霉根腐病抗性特点研究

对1027份中国和国外引进的大豆种质进行了大豆疫霉(Phytophthora sojae)根腐病的抗病性鉴定评价.结果表明,中国大豆种质的抗病性高于国外引进种质;中国南方的大豆种质抗病性较北方种质强,长江流域大豆中抗病种质比率最高,其次为黄淮海流域种质,而东北地区抗病种质较少;不同省份大豆种质的总体抗病性差异明显;育成品系的抗性好于改良品种和农家种,但不同省份来源的农家种、品系和品种抗性存在差异,黑龙江材料抗病性最低,这也是该省大豆疫霉根腐病严重发生的重要原因之一;在大豆籽粒脐色为黄色和褐色的材料中,抗病种质较多.     

Detection of a quantitative trait locus for both foliage and tuber resistance to late blight [Phytophthora infestans (Mont.) de Bary] on chromosome 4 of a dihaploid potato clone (Solanum tuberosum subsp. tuberosum)

Linkage analysis, Kruskal–Wallis analysis, interval mapping and graphical genotyping were performed on a potato diploid backcross family comprising 120 clones segregating for resistance to late blight. A hybrid between the Solanum tuberosum dihaploid clone PDH247 and the long-day-adapted S. phureja clone DB226(70) had been crossed to DB226(70) to produce the backcross family. Eighteen AFLP primer combinations provided 186 and 123 informative maternal and paternal markers respectively, with 63 markers in common to both parents. Eleven microsatellite (SSR) markers proved useful for identifying chromosomes. Linkage maps of both backcross parents were constructed. The results of a Kruskal–Wallis analysis, interval mapping and graphical genotyping were all consistent with a QTL or QTLs for blight resistance between two AFLP markers 30 cM apart on chromosome 4, which was identified by a microsatellite marker. The simplest explanation of the results is a single QTL with an allele from the dihaploid parent conferring resistance to race 1, 4 of P. infestans in the foliage in the glasshouse and to race 1, 2, 3, 4, 6, 7 in the foliage in the field and in tubers from glasshouse raised plants. The QTL was of large effect, and explained 78 and 51% of the variation in phenotypic scores for foliage blight in the glasshouse and field respectively, as well as 27% of the variation in tuber blight. Graphical genotyping and the differences in blight scores between the parental clones showed that all of the foliage blight resistance is accounted for by chromosome 4, whereas undetected QTLs for tuber resistance probably exist on other chromosomes. Graphical genotyping also explained the lack of precision in mapping the QTL(s) in terms of lack of appropriate recombinant chromosomes.     

A genetic analysis of quantitative resistance to late blight in potato: towards marker-assisted selection

Late blight caused by the oomycete Phytophthora infestans is the most important fungal disease in potato cultivation worldwide. Resistance to late blight is controlled by a few major genes (R genes) which can be easily overcome by new races of P. infestans and/or by an unknown number of genes expressing a quantitative type of resistance which may be more durable. Quantitative resistance of foliage to late blight was evaluated in five F₁ hybrid families originating from crosses among seven different diploid potato clones. Tuber resistance was evaluated in four of the families. Two of the families were scored for both foliage maturity and vigour. The five families were genotyped with DNA-based markers and tested for linkage with the traits analysed. QTL (quantitative trait locus) analysis identified at least twelve segments on ten chromosomes of potato having genes that affect reproducibly foliage resistance. Two of those segments also have major R genes for resistance to late blight. The segments are tagged by 21 markers that can be analyzed based on PCR (polymerase chain reaction) with specific oligonucleotide primers. One QTL was detected for tuber resistance and one for foliage vigour. Two QTLs were mapped for foliage maturity. Major QTL effects on foliage and tuber resistance to late blight and on foliage maturity and vigour were all linked with marker GP179 on linkage group V of potato. Plants having alleles at this QTL, which increased foliage resistance, exhibited decreased tuber resistance, later maturity and more vigour.     

Genome-Wide Delineation of Natural Variation for Pod Shatter Resistance in Brassica napus

Resistance to pod shattering (shatter resistance) is a target trait for global rapeseed (canola, Brassica napus L.), improvement programs to minimise grain loss in the mature standing crop, and during windrowing and mechanical harvest. We describe the genetic basis of natural variation for shatter resistance in B. napus and show that several quantitative trait loci (QTL) control this trait. To identify loci underlying shatter resistance, we used a novel genotyping-by-sequencing approach DArT-Seq. QTL analysis detected a total of 12 significant QTL on chromosomes A03, A07, A09, C03, C04, C06, and C08; which jointly account for approximately 57% of the genotypic variation in shatter resistance. Through Genome-Wide Association Studies, we show that a large number of loci, including those that are involved in shattering in Arabidopsis, account for variation in shatter resistance in diverse B. napus germplasm. Our results indicate that genetic diversity for shatter resistance genes in B. napus is limited; many of the genes that might control this trait were not included during the natural creation of this species, or were not retained during the domestication and selection process. We speculate that valuable diversity for this trait was lost during the natural creation of B. napus. To improve shatter resistance, breeders will need to target the introduction of useful alleles especially from genotypes of other related species of Brassica, such as those that we have identified.     

Usefulness of 10 genomic regions in soybean associated with sudden death syndrome resistance

Sudden death syndrome (SDS) is an important soybean [Glycine max (L) Merrill] disease caused by the soilborne fungus Fusarium virguliforme. Currently, 14 quantitative trait loci (QTL) had been confirmed associated with resistance or tolerance to SDS. The objective of the study was to evaluate usefulness of 10 of these QTL in controlling disease expression. Six populations were developed providing a total of 321 F2-derived lines for the study. Recombinant inbred lines (RIL) used as parents were obtained from populations of ‘Essex’ × ‘Forrest’ (EF), ‘Flyer’ × ‘Hartwig’ (FH), and ‘Pyramid’ × ‘Douglas’ (PD). Disease resistance was evaluated in the greenhouse at three different planting times, each with four replications, using sorghum infested with F. virguliforme homogeneously mixed in the soil (Luckew et al., Crop Sci 52:2215–2223, 2012). Four disease assessment criteria—foliar disease incidence (DI), foliar leaf scorch disease severity (DS), area under the disease progress curve (AUDPC), and root rot severity—were used. QTL were identified in more than one of the disease assessment criteria, mainly associated with lines in the most resistant categories. Five QTL (qRfs4, qRfs5, qRfs7, qRfs12, and Rfs16) were associated with at least one of the disease assessments across multiple populations. Of the five, qRfs4 was associated with DI, AUDPC, and root rot severity, and Rfs16 with AUDPC and root rot severity. The findings suggest it may be possible for plant breeders to focus on stacking a subset of the previously identified QTL to improve resistance to SDS in soybean.     

Genetic analysis of potassium use efficiency in Brassica oleracea

MethodsGenetic variation in [K]_shoot was estimated using a structured diversity foundation set (DFS) of 376 accessions and in 74 commercial genotypes grown in glasshouse and field experiments that included phosphorus (P) supply as a treatment factor. Chromosomal quantitative trait loci (QTL) associated with [K]_shoot and KUpE were identified using a genetic mapping population grown in the glasshouse and field. Putative QTL were tested using recurrent backcross substitution lines in the glasshouse.ConclusionsThere is sufficient genetic variation in B. oleracea to breed for both KUtE and KUpE. However, as QTL associated with these traits differ between glasshouse and field environments, marker-assisted breeding programmes must consider carefully the conditions under which the crop will be grown.Key words: Arabidopsis, Brassica oleracea, genetics, potassium (K), potassium use efficiency (KUE), quantitative trait loci (QTL), shoot     

Quantitative trait loci for partial resistance to Aphanomyces root rot in pea

Aphanomyces root rot, caused by Aphanomyces euteiches Drechs, is the most-important disease of pea ( Pisum sativum L.) worldwide. No efficient chemicals are available to control the pathogen. To facilitate breeding for Aphanomyces root rot resistance and to better understand the inheritance of partial resistance, our goal was to identify QTLs associated with field partial resistance. A population of 127 RILs from the cross Puget (susceptible) x 90-2079 (partially resistant) was used. The lines were assessed for resistance to A. euteiches under field conditions at two locations in the United States (Pullman, Wash. and LeSueur, Minn.) in 1996 and 1998 for three criteria based on symptom intensity and disease effects on the whole plant. The RILs were genotyped using automated AFLPs, RAPDs, SSRs, ISSRs, STSs, isozymes and morphological markers. The resulting genetic map consisted of 324 linked markers distributed over 13 linkage groups covering 1,094 cM (Kosambi). Twenty seven markers were anchored to other published pea genetic maps. A total of seven genomic regions were associated with Aphanomyces root rot resistance. The first one, located on LG IVb and named Aph1, was considered as "major" since it was highly consistent over the years, locations and resistance criteria studied, and it explained up to 47% of the variation in the 1998 Minnesota trial. Two other year-specific QTLs, namely Aph2 and Aph3, were revealed from different scoring criteria on LG V and Ia, respectively. Aph2 and Aph3 mapped near the r (wrinkled/round seeds) and af (normal/afila leaves) genes, and accounted for up to 32% and 11% of the variation, respectively. Four other "minor" QTLs, identified on LG Ib, VII and B, were specific to one environment and one resistance criterion. The resistance alleles of Aph3 and the two "minor" QTLs on LG Ib were derived from the susceptible parent. Flanking markers for the major Aphanomyces resistance QTL, Aph1, have been identified for use in marker-assisted selection to improve breeding efficiency.     

萝卜种质资源对黑腐病的抗性鉴定与筛选

对40份初选萝卜种质分别接种Xcc8004和XccBJ两个菌株,进行黑腐病苗期抗性鉴定,对其中8份代表性萝卜种质肉质根切片接种Xcc8004进行抗性鉴定和27份萝卜种质幼苗接种8个效应物基因进行过敏反应鉴定。结果表明:不同萝卜种质苗期对黑腐病的抗性存在显著差异,筛选出高抗Xcc8004的材料3份、抗病1份、中抗4份,高抗XccBJ的材料1份、抗病2份、中抗5份。萝卜苗期对Xcc8004和XccBJ的抗病性极显著相关,幼苗和肉质根对Xcc8004的抗病性极显著相关。筛选出17份对不同效应物表现过敏反应的萝卜种质。对效应物XC₀241表现过敏反应的种质数最多,对XC₀542和XC₀541表现过敏反应的种质数次之。不同抗源对不同效应物的过敏反应程度有所不同。稳定可靠抗病资源的获得为萝卜抗病育种和抗病机理的深入研究提供了基础材料。     

Identification of quantitative trait loci for specific mechanisms of resistance to <Emphasis Type="Italic">Orobanche crenata</Emphasis> Forsk. in pea (<Emphasis Type="Italic">Pisum sativum</Emphasis> L.)

Crenate broomrape (Orobanche crenata) is the major constraint for pea cultivation in the Mediterranean Basin and Middle East. Cultivation of resistant varieties would be the most efficient, economical and environmentally friendly way to control this parasite. However, little resistance is available within cultivated pea. Promising sources of resistance have been identified in wild peas but their use in breeding programs is hampered by the polygenic nature of the resistance. The identification of molecular markers linked to the resistance would allow tracking of the underlying genes, facilitating their introgression into pea cultivars. The main objective of this study was the identification of genomic regions associated with resistance to O. crenata. A RIL (Recombinant Inbred Lines) population derived from a cross between a resistant accession of the wild pea Pisum sativum ssp. syriacum, and a susceptible pea variety was screened for resistance to O. crenata under field conditions during two seasons. In addition, resistance reactions at different stages of the O. crenata infection cycle were assessed using a Petri dish method. The approach allowed the identification of four Quantitative Trait Loci (QTL) associated with field resistance, assessed as the number of emerged broomrape shoots per pea plant under field conditions. These identified QTLs explained individually from 10 to 17% of the phenotypic variation. In addition QTLs governing specific mechanisms of resistance, such as low induction of O. crenata seed germination, lower number of established tubercles per host root length unit, and slower development of tubercles were also identified. Identified QTLs explained individually from 8 to 37% of the variation observed depending on the trait. Host plant aerial biomass and root length were also assessed and mapped. Both traits were correlated with the level of O. crenata infection and three out of the four QTLs controlling resistance under field conditions co-localized with QTLs controlling plant aerial biomass or root length. The relationship observed among these traits and resistance is discussed.     

QTL analysis in multiple sorghum populations facilitates the dissection of the genetic and physiological control of tillering

Key message

A QTL model for the genetic control of tillering in sorghum is proposed, presenting new opportunities for sorghum breeders to select germplasm with tillering characteristics appropriate for their target environments.

Abstract

Tillering in sorghum can be associated with either the carbon supply–demand (S/D) balance of the plant or an intrinsic propensity to tiller (PTT). Knowledge of the genetic control of tillering could assist breeders in selecting germplasm with tillering characteristics appropriate for their target environments. The aims of this study were to identify QTL for tillering and component traits associated with the S/D balance or PTT, to develop a framework model for the genetic control of tillering in sorghum. Four mapping populations were grown in a number of experiments in south east Queensland, Australia. The QTL analysis suggested that the contribution of traits associated with either the S/D balance or PTT to the genotypic differences in tillering differed among populations. Thirty-four tillering QTL were identified across the populations, of which 15 were novel to this study. Additionally, half of the tillering QTL co-located with QTL for component traits. A comparison of tillering QTL and candidate gene locations identified numerous coincident QTL and gene locations across populations, including the identification of common non-synonymous SNPs in the parental genotypes of two mapping populations in a sorghum homologue of MAX1, a gene involved in the control of tiller bud outgrowth through the production of strigolactones. Combined with a framework for crop physiological processes that underpin genotypic differences in tillering, the co-location of QTL for tillering and component traits and candidate genes allowed the development of a framework QTL model for the genetic control of tillering in sorghum.     

New consistent QTL in pea associated with partial resistance to Aphanomyces euteiches in multiple French and American environments

Partial resistances, often controlled by quantitative trait loci (QTL), are considered to be more durable than monogenic resistances. Therefore, a precursor to developing efficient breeding programs for polygenic resistance to pathogens should be a greater understanding of genetic diversity and stability of resistance QTL in plants. In this study, we deciphered the diversity and stability of resistance QTL to Aphanomyces euteiches in pea towards pathogen variability, environments and scoring criteria, from two new sources of partial resistance (PI?180693 and 552), effective in French and USA infested fields. Two mapping populations of 178 recombinant inbred lines each, derived from crosses between 552 or PI 180693 (partially resistant) and Baccara (susceptible), were used to identify QTL for Aphanomyces root rot resistance in controlled and in multiple French and USA field conditions using several resistance criteria. We identified a total of 135 additive-effect QTL corresponding to 23 genomic regions and 13 significant epistatic interactions associated with partial resistance to A.?euteiches in pea. Among the 23 additive-effect genomic regions identified, five were consistently detected, and showed highly stable effects towards A.?euteiches strains, environments, resistance criteria, condition tests and RIL populations studied. These results confirm the complexity of inheritance of partial resistance to A.?euteiches in pea and provide good bases for the choice of consistent QTL to use in marker-assisted selection schemes to increase current levels of resistance to A.?euteiches in pea breeding programs.