Simple sequence repeat markers linked to a major QTL controlling pod shattering in soybean

Shattering of soybean pods prior to harvest leads to a reduction in yield. In order to identify simple sequence repeat (SSR) markers linked to quantitative trait loci (QTLs) conditioning pod shattering, QTL analysis was conducted using an recombinant inbred line (RIL) population segregating for this trait. The degrees of pod‐shattering resistance were evaluated by heat treatment applied to pods harvested from plants in the field and in a growth chamber. Composite interval mapping identified one major QTL between SSR markers Sat_093 and Sat_366 on linkage group J for both environments. The position and the effect of this QTL were confirmed in an F₂ population derived from a cross between the pod shattering‐susceptible parental cultivar and a pod shattering‐resistant RIL. The SSR markers linked to the major QTL will be useful for marker‐assisted selection in soybean‐breeding programmes.     

Mapping of Re,a gene conferring the red leaf trait in ornamental kale (Brassica oleracea L. var. acephala)

Variegated leaf colour is an important agronomic trait that affects the market value of ornamental kale (Brassica oleracea L. var. acephala). The red leaf phenotype in kale is due to anthocyanin accumulation. To investigate the pattern of inheritance of this trait, we constructed an F₂ population by crossing ‘Y005‐15’, a double haploid with red leaves, with a white‐leaved double haploid, ‘Y011‐13‐38’, followed by self‐pollination. An F₂ population consisting of 4284 individuals was used to study the inheritance of this trait, which showed that the character was controlled by a dominate gene. All of the 1050 white leaf trait plants in the F₂ were used for mapping and developing markers linked to Re gene. Results showed that Re was mapped to a locus on linkage group C09 of Brassica oleracea, and the locus was mapped between six SSR markers (C9Z1, C9Z16‐1, C9Z90, C9Z94, C9Z96 and C9Z99), with a genetic distance of 6.7, 1.0, 0.3, 2.0, 2.1 and 0.4 cM from Re gene, respectively. These results may facilitate marker‐assisted selection of the red leaf trait in kale breeding as well as map‐based cloning of the red leaf trait gene.     

Quantitative trait loci with additive and epistatic effects underlying resistance to two HG types of soybean cyst nematode

The resistance of soybean (Glycine max L. Merr.) cultivars varies with the different races of the soybean cyst nematode (SCN), Heterodera glycines, referred to as HG types (biotypes). Resistant cultivars with durable resistance are emphasized in recent years. The aim here was to identify quantitative trait loci (QTLs) for resistance to two SCN HG types (HG type 2.5.7, race 1; and HG type 1.2.3.5.7, race 4) in resistant cultivar ‘L‐10’ and to analyse the additive and epistatic effects of the identified QTLs. A total of 140 F₅‐derived F₁₀ recombinant inbred lines (F_5:10 RILs) were advanced via single‐seed‐descent from the cross between ‘L‐10’ (broadly resistant to SCN) and “Heinong 37” (SCN‐susceptible). For SCN HG type 2.5.7 and HG type 1.2.3.5.7 resistance, three and six QTLs for resistance to SCN HG type 2.5.7 and HG type 1.2.3.5.7 were identified, respectively, most of which could explain <10% of the phenotypic variation. Among these QTLs, five were identified over 2 years, while the other QTLs were detected in either 2009 or 2010. QSCN1‐2, located near the SSR marker Sat_069 of linkage group D1b (Chromosome, 2), was responsible for the largest proportion of phenotypic variation (16.01% in 2009 and 18.94% in 2010), suggested that it could effectively be used as a candidate QTL for the marker‐assisted selection (MAS) of soybean lines resistant to SCN. Additionally, for SCN HG type 2.5.7 and HG type 1.2.3.5.7 resistance, two and four QTLs showed an additive effect (a), respectively. One epistatic pair of QTLs (QSCN1‐1‐QSCN1‐3) for SCN HG type 2.5.7 resistance and eight epistatic pairs of QTLs for SCN HG type 1.2.3.5.7 resistance were found to have significant aa effects, among which one pair of QTLs (QSCN4‐4 and QSCN4‐5) contributed a large proportion of aa effects (3%). The results indicated that additive and epistatic effects could significantly affect SCN resistance. Therefore, both of a and aa effects should be considered in MAS programmes.     

Detection of quantitative trait loci for phosphorus deficiency tolerance at soybean seedling stage

Phosphorus deficiency is a primary constraint to soybean productivity in acid and calcareous soils. Our aim was to map quantitative trait loci (QTL) controlling phosphorus deficiency tolerance using 152 recombinant inbred lines derived from a cross between the P stress tolerant variety Nannong94-156 and the P stress sensitive variety Bogao. Five traits were used as parameters to evaluate phosphorus deficiency tolerance at seedling stage under different phosphorus levels in experiments 2005 and 2006. As a result, thirty-four additive QTLs were detected on nine linkage groups, with corresponding contribution ratios of 6.6–19.3%. There were three clusters of QTL found in genomic regions S506-Satt534 (on linkage group B2-1), Sat_183-Satt274 (on linkage group D1b + W), and Sat_185-Satt012 (on linkage group G). The locus flanked by Sat_183-Satt274 on linkage group D1b + W was coincident with four previously discovered QTLs with phosphorus efficiency. Another interesting locus flanked by Sat_185-Satt012 on linkage group G was detected across years. The identified QTL will be useful to improve the stress resistance of soybean against a complex nutritional disorder caused by phosphorus deficiency. In addition, more QTLs were detected under low phosphorus condition and some QTLs were detected that specifically expressed under different phosphorus levels. These particular QTLs could help provide greater understanding of the genetic basis of phosphorus efficiency in soybean.     

大豆微卫星诱发突变的分子分析

Microsatellite or SSR marker is an efficient tool for plant genotype identification, molecular mapping and marker-assisted selection. Objective of this study is to analyze the mutagenized microsatellite variations in soybean genome and reveal nature of these mutations. In the present study, mutations at fifteen microsatellite loci were detected in genomic DNAs of soybean mutant E182 induced by EMS (ethyne metyl sulfate) using PCR amplification of 485 pairs of SSR primers. These fifteen mutagenized microsatellite loci with repeat number variation were Satt005, Sattll7, Satt185, Satt282, Satt290, Satt420, Satt452, Satt483, Satt569, Satt579, Satt600, Satt602, Sat-086, Sat-107 and Sat-135, respectively. Sequencing results of these fifteen loci indicated that microsatellite sequences at Satt282, Satt483, Satt579, Satt600 and Satt602 loci were respectively deleted 1 -, 3 -, 8-, 20 - and 1 - trinucleotide (all [ATT]1-20 except for [CAA]8 [TAA]12 at Satt600 locus) repeats, which made allele sizes at these five loci decrease 3, 9, 24, 60 and 3 bp, respectively. And while microsatellite sequences at the other ten mutated loci, Satt005, Sattll7, Satt185, Satt290, Satt420, Satt452, Satt569 and Sat-086, Sat-107, Sat-135, were respectively inserted 1-, 6-, 6-, 3-, 4-, 3-, 8- trinu-cleotide repeats (ATT)1-8 and 12-, 6-, 16- dinucleotide repeats (AT)6-16, making allele sizes at these ten loci increase 3, 18, 18, 9, 12, 9, 24, 24, 12, 32 bp, respectively. On the other hand, eleven events of base mutations were detected in flanking regions at seven (Sat- 107, Satt185, Satt282, Satt420, Satt569, Satt579 and Satt600) of fifteen mutated microsatellite loci. These base mutations consisted of 6 transitions (4T→C and 2 A→G), 2 transvertions (A→T and T→A), 1 insertion (T) and 2 deletions (A and T). The experimental results proved that EMS mutagenesis could cause different types of mutations at microsatellite multilocus in soybean genome, including repeat number variations in microsatellite regions and random base mutations in flanking regions. We found three mutational biases, which were frequent insertion mutations of repeat units, initiating positions of microsatellite sequences of repeat unit insertions/deletions and both flanking-base T ↓ A of these insertion/deletion positions. In addition, the resolution capacity of high-quality agarose gels was sufficient to distinguish differences of only three base pairs in this experiment.     

大豆品种豫豆25抗疫霉根腐病基因的鉴定

大豆疫霉根腐病是大豆破坏性病害之一。防治该病的最有效方法是利用抗病品种。迄今,已在大豆基因组的9个座位鉴定了15个抗大豆疫霉根腐病基因,但是只有少数基因如Rps1c、Rps1k抗性在我国是有效的。因此,必需发掘新的抗疫霉根腐病基因,以满足抗病育种的需求。豫豆25具有对大豆疫霉菌的广谱抗性,是目前筛选出的最优异的抗源。以豫豆25为抗病亲本分别与豫豆21和早熟18杂交构建F_2:3家系群体。两个群体的抗性遗传分析表明,豫豆25对疫霉根腐病的抗性由一个显性单基因控制,暂定名为RpsYD25。用SSR标记分析两个群体,RpsYD25均被定位于大豆分子遗传图谱N连锁群上。由于Rps1座位已作图在N连锁群,选择Rps1k基因中的一些SSR设计引物,检测RpsYD25与Rps1座位的遗传关系。结果表明,一个SSR标记Rps1k6与RpsYD25连锁,二者之间的遗传距离为19.4 cM。因此,推测RpsYD25可能是Rps1座位的一个新等位基因,也可能是一个新的抗病基因。     

大豆种粒斑驳抗性的遗传分析及基因定位

运用SSR标记技术及分离群体组群分析法(BSA法), 对大豆品系3C624×东农8143的F₂、F₃代群体接种SMV1号株系鉴定种粒斑驳抗性, 并进行抗种粒斑驳基因的分子定位。结果表明, 东农8143对SMV1号株系的种粒斑驳抗性受1对显性基因控制。用Mapmaker/Exp 3.0b进行连锁分析, 抗种粒斑驳基因位于大豆染色体组的F连锁群上, 并获得了与抗种粒斑驳基因紧密连锁的5个SSR标记Sat_297、Sat_229、Sat_317、Satt335和Sct_188, 标记与抗病基因间的排列顺序和连锁距离为Sat_297–12.4 cM–Sat_229–3.6 cM–SRSMV1–1.7 cM–Sat_317–2.4 cM– Satt335–13.8 cM–Sct_188。其中近距离标记Sat_229(3.6 cM)、Sat_317(1.7 cM)和Satt335(4.1 cM)可用于标记辅助选择育种和抗源筛选。     

Mapping and use of QTLs controlling pod dehiscence in soybean

While the cultivated soybean, Glycine max (L.) Merr., is more recalcitrant to pod dehiscence (shattering-resistant) than wild soybean, Glycine soja Sieb. & Zucc., there is also significant genetic variation in shattering resistance among cultivated soybean cultivars. To reveal the genetic basis and develop DNA markers for pod dehiscence, several research groups have conducted quantitative trait locus (QTL) analysis using segregated populations derived from crosses between G. max accessions or between a G. max and G. soja accession. In the populations of G. max, a major QTL was repeatedly identified near SSR marker Sat_366 on linkage group J (chromosome 16). Minor QTLs were also detected in several studies, although less commonality was found for the magnitudes of effect and location. In G. max × G. soja populations, only QTLs with a relatively small effect were detected. The major QTL found in G. max was further fine-mapped, leading to the development of specific markers for the shattering resistance allele at this locus. The markers were used in a breeding program, resulting in the production of near-isogenic lines with shattering resistance and genetic backgrounds of Japanese elite cultivars. The markers and lines developed will hopefully contribute to the rapid production of a variety of shattering-resistant soybean cultivars.     

Identification and confirmation of quantitative trait loci for stachyose content in soybean seed

Stachyose is an unfavorable sugar in soybean meal that causes flatulence for non‐ruminant animals. Understanding the genetic control of stachyose in soybean will facilitate the modification of stachyose content at the molecular level. The objective of this study was to identify quantitative trait loci (QTL) associated with seed stachyose content using simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. A normal stachyose cultivar, ‘Osage’, was crossed with a low stachyose line, V99‐5089, to develop a QTL mapping population. Two parents were screened with 33 SSR and 37 SNP markers randomly distributed on chromosome 10, and 20 SSR and 19 SNP markers surrounding a previously reported stachyose QTL region on chromosome 11. Of these, 5 SSR and 16 SNP markers were used to screen the F_3:4 lines derived from ‘Osage’ x V99‐5089. Seed samples from F_3:5 and F_3:6 lines were analyzed for stachyose content using high‐performance liquid chromatography (HPLC). Composite interval mapping analysis indicated that two stachyose QTL were mapped to chromosome 10 and 11, explaining 11% and 79% of phenotypic variation for stachyose content, respectively. The SSR/SNP markers linked to stachyose QTL could be used in breeding soybean lines with desired stachyose contents. Chi‐square tests further indicated that these two QTL probably represent two independent genes for stachyose content. Therefore, a major QTL was confirmed on chromosome 11 and a novel QTL was found on chromosome 10 for stachyose content.     

Quantitative trait loci for leafhopper (Empoasca fabae and Empoasca kraemeri) resistance and seed weight in the common bean

A population of 108 common bean recombinant inbred lines (RILs) (F_5:6‐9), derived from a leafhopper (Empoasca fabae and E. kraemeri)‐susceptible cultivar (‘Berna’) and a leafhopper‐resistant line (EMP 419) was used to identify molecular markers genetically linked to leafhopper resistance and seed weight. Bulked segregant analysis and quantitative trait analysis identified eight markers that were associated with resistance to E. fabae, and four markers that were associated with E. kraemeri resistance. Three markers were associated with resistance to both species. A partial linkage map of the bean genome was constructed. Composite interval mapping identified quantitative trait loci (QTL) for resistance to both leaf hopper species on core‐map linkage groups B1, B3 and B7. QTL for seed weight were found close to the locus controlling testa colour and an α‐phaseolin gene.     

Mapping powdery mildew resistance gene in V97‐3000 soybean

V97‐3000 is a maturity group (MG) V soybean breeding line derived from SS 516 × V90‐2592 (Vance × V81‐1325) with high stachyose, small seed and powdery mildew resistance. A total of 53 F_2:3 families were derived from a cross between V97‐3000 and a powdery mildew susceptible line V99‐5089. The 53 F_2:3 families, each with 30 plants, were grown in the greenhouse for powdery mildew evaluation, and the corresponding 53 F₂ plants were genotyped using simple sequence repeat (SSR) markers. Results showed that the 53 F_2:3 families segregated in ratio of one resistant : two segregating : one susceptible (13 : 26 : 14) and the 26 segregating F_2:3 families each exhibited a good fit to three resistant : one susceptible, indicating that resistance to powdery mildew is conditioned by a single dominant gene. The gene for powdery mildew resistance in V97‐3000 was mapped on chromosome 16 [linkage group (LG) J] flanked by Satt547 and Sat_396 on one side and Sat_393 on the other side with 3.8 cM and 3.9 cM distance, respectively. This study provides a new source of powdery mildew resistance and information of genetic location of the resistance gene and linked markers, which is useful for breeders selecting powdery mildew resistance through marker‐assisted selection (MAS) in soybean breeding programmes.     

Identification of quantitative trait loci underlying soybean (Glycine max [L.] Merr.) seed weight including main,epistatic and QTL × environment effects in different regions of Northeast China

Seed weight (SW) is the important soybean (Glycine max [L.] Merr.), yield component and also affected the quality of soybean‐derived foods. The aim of this study was to identify the quantitative trait loci (QTL) underlying SW through 112 recombinant inbred lines (RILs) derived from the cross between “Zhongdou27” (G. max, designated by its bigger seed size, 21.9 g/100 seeds) and “Jiunong 20” (G. max, smaller seed size, 17.5 g/100 seeds). Phenotypic data were collected from this RIL population after it was grown in the sixteen tested environments. A total of eight QTL (QSW1‐1, QSW2‐1, QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1) were identified, and they could explain 4.23%–14.65% of the phenotypic variation. Among these eight QTL, three QTL (QSW1‐1 located on the interval of Sat_159‐Satt603 of chromosome (Chr) 1 (LGD1a), QSW19‐1 located on the interval of Sat_340‐Satt523 of Chr 19 (LGL) and QSW20‐1 located on Sat_418‐Sat_105 of Chr 20 (LGI)) were newly identified and could explain 4.235%–10.08%, 8.45%–13.49% and 8.08%–10.18% of the phenotypic variation, respectively. Six of the eight identified QTL including QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1 exhibited a significant additive (a) effect, while two QTL (QSW2‐1 and QSW19‐1) only displayed significant additive‐by‐environment (ae) effects. A total of four epistatic pairwise QTL for SW were identified in the different environments. These eight QTL and their genetic information obtained here were valuable for molecular marker‐assisted selection and the realization of a reasonable SW breeding programme in soybean.     

Identification of SSR markers linked to the Phytophthora resistance gene Rps1-d in soybean

To identify markers for the Phytophthora resistance gene, Rps1‐d, 123 F_{2 : 3} families were produced from a cross between Glycine max (L.) Merr. ‘Tanbakuro’ (a Japanese traditional black soybean) and PI103091 (Rps1‐d) as an experimental population. The results of virulence tests produced 33 homozygous resistant, 61 segregating and 29 homozygous susceptible F_{2 : 3} families. The chi‐squared test gave a goodness‐of‐fit for the expected ratio of 1 : 2 : 1 for resistant, segregating and susceptible traits, suggesting that the inheritance of Rps1‐d is controlled by a monogenic dominant gene. Simple sequence repeat (SSR) analyses of this trait were carried out using the cultivars ‘Tanbakuro’ and PI103091. Sixteen SSR primers, which produced 19 polymorphic fragments between the two parents, were identified from 41 SSR primers in MLG N. Eight SSR markers were related to Rps1‐d, based on 32 of the 123 F_{2 : 3} families, consisting of 16 homozygous resistant and 16 homozygous susceptible lines. The remaining 91 families were analysed for these eight markers, and a linkage map was constructed using all 123 F_{2 : 3} families. The length of this linkage group is 44.0 cM. The closest markers, Sat_186 and Satt152, are mapped at 5.7 cM and 11.5 cM, respectively, on either side of the Rps1‐d gene. Three‐way contingency table analysis indicates that dual‐marker‐assisted selection using these two flanking markers would be efficient.     

Mapping of quantitative trait loci for floral scent compounds in cowpea (Vigna unguiculata L.)

Floral scent is a very important trait in plant evolution. Currently, little is known about the inheritance of floral scent in cowpea (Vigna unguiculata L.) or changes that might have occurred during its domestication. Therefore, we analysed scent volatiles and molecular markers in a population of 159 F₇ recombinant inbred lines derived from a cross of a domesticated blackeye cowpea cultivar, ‘524B’ and a wild accession ‘219‐01’. Using gas chromatography‐mass spectrometry (GC–MS) 23 volatile compounds were identified that fall into five general functional categories. Twenty‐two of the compounds displayed quantitative variation in the progeny, and a total of 63 QTLs influencing the amounts of these volatiles were mapped onto the cowpea genetic marker map. Although QTLs for volatile compounds putatively involved in cowpea flower scent were found on 9 of the 11 cowpea chromosomes, they were not evenly distributed with QTLs mainly clustered on LGs 1, LGs 2 and LG 4. Our results serve as a starting point for both more detailed analyses of complex scent biosynthetic pathways and the development of markers for marker‐assisted breeding of scented rose varieties.     

A novel aphid resistance locus in cowpea identified by combining SSR and SNP markers

The utility of combining simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) marker genotyping was determined for genetically mapping a novel aphid (Aphis craccivora) resistance locus in cowpea breeding line SARC 1‐57‐2 and for introgressing the resistance into elite cultivars by marker‐assisted backcrossing (MABC). The locus was tagged with codominant SSR marker CP 171F/172R with a recombination fraction of 5.91% in an F₂ population from ‘Apagbaala’ x SARC 1‐57‐2. A SNP‐genotyped biparental recombinant inbred line population was genotyped for CP 171F/172R, which was mapped to position 11.5 cM on linkage group (LG) 10 (physical position 30.514 Mb on chromosome Vu10). Using CP 171F/172R for foreground selection and a KASP‐SNP‐based marker panel for background selection in MABC, the resistance from SARC 1‐57‐2 was introduced into elite susceptible cultivar ‘Zaayura’. Five BC₄F₃ lines of improved ‘Zaayura’ that were isogenic except for the resistance locus region had phenotypes similar to SARC 1‐57‐2. This study identified a novel aphid resistance locus and demonstrated the effectiveness of integrating SSR and SNP markers for trait mapping and marker‐assisted breeding.     

Identification and validation of an over‐dominant QTL controlling soybean seed weight using populations derived from Glycine max × Glycine soja

Heterosis, or hybrid vigour, has been used to improve seed yield in several important crops for decades and it has potential applications in soybean. The discovery of over‐dominant quantitative trait loci (QTL) underlying yield‐related traits, such as seed weight, will facilitate hybrid soybean breeding via marker‐assisted selection. In this study, F₂ and F_2 : 3 populations derived from the crosses of ‘Jidou 12’ (Glycine max) × ‘ZYD2738’ (Glycine soja) and ‘Jidou 9’ (G. max) × ‘ZYD2738’ were used to identify over‐dominant QTL associated with seed weight. A total of seven QTL were identified. Among them, qSWT_13_1, mapped on chromosome 13 and linked with Satt114, showed an over‐dominant effect in two populations for two successive generations. This over‐dominant effect was further examined by six subpopulations derived from ‘Jidou12’ × ‘ZYD2738’. The seed weight for heterozygous individuals was 1.1‐ to 1.6‐fold higher than that of homozygous individuals among the six validation populations examined in different locations and years. Therefore, qSWT_13_1 may be a useful locus to improve the yield of hybrid soybean and to understand the molecular mechanism of heterosis in soybean.     

Association of RFLP markers with trait loci affecting clubroot resistance and morphological characters in Brassica oleracea L.

Summary Resistance to Plasmodiophora brassicae Wor. race 7, the causal agent of the disease clubroot, was examined in an F₂ population of a cross between a clubroot resistant broccoli (Brassica oleracea var. italica) and a susceptible cauliflower (B. oleracea var. botrytis). A genetic linkage map was constructed in the same population based on the segregation of 58 dispersed restriction fragment length polymorphism (RFLP) markers. Associations between the inheritance of RFLP marker genotypes and segregation for disease resistance, morphological and maturity characteristics were examined. For each triat examined, several chromosomal regions marked by RFLP probes appeared to contain trait loci, suggesting that each trait was under polygenic control. RFLP marker linkage to a major factor imparting dominance for clubroot resistance from the broccoli parent was observed in this population. Additionally, RFLP marker linkage to an independently segregating factor contributing clubroot resistance from the cauliflower parent was observed, indicating that it should be possible to use RFLP markers to facilitate selection of transgressive segregants having the combined resistance from both parental sources. In some instances, RFLP markers from the same or closely linked chromosomal regions were associated with both clubroot resistance and morphological traits. Analysis of RFLP marker genotypes at linked loci should facilitate the selection of desired disease resistant morphotypes.     

Characterization of the interspecific cross Cicer anetinum L. ×C. judaicum (Boiss)

An interspecific cross involving Cicer anetinum L. and C. judaicum (Boiss) No. 182 was established. The F₁ could be distinguished from the parents by its prostrate growth habit at the seedling stage and through isozyme patterns for peroxidases and esterases. The inheritance of PRX-3 was found to be relatively simple and behaved as a monomer. Meiotic studies indicated the occurrence of six bivalents and four uni-valents in about 6% of F₁ PMC's at metaphase I, but normal 8–8 chromosomal distribution in anaphase I, indicating near complete homology. The F₁ hybrid was characterized for three morphological and six agronomical characters. A large F₂ was studied for secondary branches per plant, 100-seed weight (g), pods per plant, and grain yield per plant (g). Distributions of F₂ for pod number and grain yield displayed high C.V. and were highly skewed in a positive direction. F₂ recombinants were isolated with a very large number of secondary branches and a high pod number and yield. Such wide variability is not normally encountered in intevarietal crosses.     

Genetic components of pod shattering in soybean

Half diallel crosses among ten pure breeding lines of soybean were made in 1997 and 1998 to study the inheritance of pod shattering in soybean. Evaluation for pod shattering among F₂ segregating populations was carried out in an oven set at 80 ^°C for 12 hours. Diallel analysis was carried out to estimate genetic parameters and detect presence of non allelic interaction of genes affecting pod shattering. Hayman's diallel analysis indicated significant variation of Wr + Vr and Wr – Vr over arrays, suggesting epistatic gene action. Similarly results from a joint regression coefficient over replications were significantly (p < 0.05) different from unity and zero, suggesting presence of non allelic interaction of genes. The intercept was positive, suggesting partial dominance for the shattering trait. Both general combining ability (GCA) and specific combining ability (SCA) effects were significant (p < 0.05). This revised version was published online in July 2006 with corrections to the Cover Date.     

Quantitative trait loci for agronomic traits in soybean

There continues to be improvement in seed yields of soybean by conventional breeding, but molecular techniques may provide faster genetic gains. The objective of this study was to identify quantitative trait loci (QTL) associated with the agronomic traits seed yield, lodging, plant height, seed filling period and plant maturity in soybean. To achieve this objective, 101 F₆‐derived recombinant inbred lines (RIL) from a population developed from a cross of N87‐984‐16 × TN93‐99 were used. Experiments were conducted in six environments during 2002–2003. Heritability estimates on an entry mean basis from data combined across environments ranged from 0.12 to 0.65 for seed yield and seed filling period, respectively. Composite interval mapping detected one QTL for yield (near Satt076), two for lodging (near Satt225 and Satt593) and four for maturity (near Satt263, Satt292, Satt293 and Satt591) in this population. Additional environmentally sensitive QTL for these traits, and for seed filling period and plant height are also reported. The QTL associated with agronomic traits that we report and the recently released germplasm (PI 636460) from this population may be useful in soybean breeding programmes.