Wheat Population Research Articles

Effectiveness of TaDreb-B1 and 1-FEH w3 KASP Markers in Spring and Winter Wheat Populations for Marker-Assisted Selection to Improve Drought Tolerance.

Due to the advances in DNA markers, kompetitive allele-specific PCR (KASP) markers could accelerate breeding programs and genetically improve drought tolerance. Two previously reported KASP markers, TaDreb-B1 and 1-FEH w3, were investigated in this study for the marker-assisted selection (MAS) of drought tolerance. Two highly diverse spring and winter wheat populations were genotyped using these two KASP markers. The same populations were evaluated for drought tolerance at seedling (drought stress) and reproductive (normal and drought stress) growth stages. The single-marker analysis revealed a high significant association between the target allele of 1-FEH w3 and drought susceptibility in the spring population, while the marker-trait association was not significant in the winter population. The TaDreb-B1 marker did not have any highly significant association with seedling traits, except the sum of leaf wilting in the spring population. For field experiments, SMA revealed very few negative and significant associations between the target allele of the two markers and yield traits under both conditions. The results of this study revealed that the use of TaDreb-B1 provided better consistency in improving drought tolerance than 1-FEH w3.

Mapping the quantitative field resistance to stripe rust in a hard winter wheat population “Overley” × “Overland”

AbstractStripe (yellow) rust, caused by Puccinia striiformis f. sp. tritici, is a devastating disease of wheat (Triticum aestivum) worldwide. In commercial production, stripe rust reduces grain quality, grain yield, and forage yield. This study was conducted to identify quantitative trait locus (QTL) associated with field resistance to stripe rust in hard winter wheat. Stripe rust infection type and severity were rated in recombinant inbred lines (RILs, n = 204) derived from a cross between hard red winter wheat cultivars “Overley” and “Overland” in replicated field trials in the Great Plains and Pacific Northwest. RILs (n = 184) were genotyped with reduced representation sequencing to produce single nucleotide polymorphism (SNP) markers from alignment to the “Chinese Spring” reference sequence, IWGSC v2.1, and from alignment to the reference sequence for “Jagger,” which is a parent of Overley. Genetic linkage maps were developed independently from each set of SNP markers. QTL analysis identified genomic regions on chromosome arms 2AS, 2BS, 2BL, and 2DL that were associated with stripe rust resistance using multi‐environment best linear unbiased predictors for stripe rust infection type and severity. Results for the two linkage maps were very similar. PCR‐based SNP marker assays associated with the QTL regions were developed to efficiently identify these genomic regions in breeding populations.

Meiotic pairing irregularity and homoeologous chromosome compensation cause rapid karyotype variation in synthetic allotetraploid wheat.

Allopolyploidization may initiate rapid evolution due to heritable karyotypic changes. The types and extents of these changes, the underlying causes, and their effects on phenotype remain to be fully understood. Here, we designed experimental populations suitable to address these issues using a synthetic allotetraploid wheat. We show that extensive variation in both chromosome number (NCV) and structure (SCV) accumulated in a selfed population of a synthetic allotetraploid wheat (genome Sb Sb DD). The combination of NCVs and SCVs generated massive organismal karyotypic heterogeneity. NCVs and SCVs were intrinsically correlated and highly variable across the seven sets of homoeologous chromosomes. Both NCVs and SCVs stemmed from meiotic pairing irregularity (presumably homoeologous pairing) but were also constrained by homoeologous chromosome compensation. We further show that homoeologous meiotic pairing was positively correlated with sequence synteny at the subtelomeric regions of both chromosome arms, but not with genic nucleotide similarity per se. Both NCVs and SCVs impacted phenotypic traits but only NCVs caused significant reduction in reproductive fitness. Our results implicate factors influencing meiotic homoeologous chromosome pairing and reveal the type and extent of karyotypic variation and its immediate phenotypic manifestation in synthetic allotetraploid wheat. This has relevance for our understanding of allopolyploid evolution.

Identification and validation of two major QTLs for spikelet number per spike in wheat (Triticum aestivum L.).

The total number of spikelets (TSPN) and the number of fertile spikelets (FSPN) affect the final number of grains per spikelet in wheat. This study constructed a high-density genetic map using 55K single nucleotide polymorphism (SNP) arrays from a population of 152 recombinant inbred lines (RIL) from crossing the wheat accessions 10-A and B39. Twenty-four quantitative trait loci (QTLs) for TSPN and 18 QTLs for FSPN were localized based on the phenotype in 10 environments in 2019-2021. Two major QTLs, QTSPN/QFSPN.sicau-2D.4 (34.43-47.43 Mb) and QTSPN/QFSPN.sicau-2D.5(32.97-34.43 Mb), explained 13.97%-45.90% of phenotypic variation. Linked kompetitive allele-specific PCR (KASP) markers further validated these two QTLs and revealed that QTSPN.sicau-2D.4 had less effect on TSPN than QTSPN.sicau-2D.5 in 10-A×BE89 (134 RILs) and 10-A×Chuannong 16 (192 RILs) populations, and one population of Sichuan wheat (233 accessions). The alleles combination haplotype 3 with the allele from 10-A of QTSPN/QFSPN.sicau-2D.5 and the allele from B39 of QTSPN.sicau-2D.4 resulted in the highest number of spikelets. In contrast, the allele from B39 for both loci resulted in the lowest number of spikelets. Using bulk-segregant analysis-exon capture sequencing, six SNP hot spots that included 31 candidate genes were identified in the two QTLs. We identified Ppd-D1a from B39 and Ppd-D1d from 10-A and further analyzed Ppd-D1 variation in wheat. These results identified loci and molecular markers with potential utility for wheat breeding and laid a foundation for further fine mapping and cloning of the two loci.

Mixed cropping increases grain yield and lodging resistance by improving the canopy light environment of wheat populations

The primary technical way to increase wheat yield is to increase planting density. However, the dense planting population has poor stem development quality due to intensified resource competition, ultimately leading to an increased lodging risk. Mixed cropping can take advantage of the genetic diversity of cultivars to solve the contradiction between lodging traits and yield in dense planting wheat populations. Nevertheless, its resistance mechanism to lodging and yield increase still needs to be studied in depth. Here, we conducted a field experiment in the North China Plain using a lodging-resistant cultivar, Shannong 28 (SN28) and a lodging-sensitive cultivar, Shannong 16 (SN16), as test materials to study the effect of mixed cropping on the crop yield by setting 3 planting densities: 225 plants m-2 (D1), 375 plants m-2 (D2), and 525 plants m-2 (D3). We studied the effect of mixed cropping on the resistance of wheat population and yield. The results showed that the mixed sowing treatment (MIX) significantly improved the canopy light interception rate (8.99%) and net photosynthetic efficiency (11.02%) under dense planting conditions (D3). It improved stem quality by increasing the content of carbohydrates (lignin, cellulose and soluble sugar), on the other hand, contributing to yield by increasing grain weight. Meanwhile, the structural equation modeling validated the above results. Compared to SN16 sole cropping (SN16), SN28 sole cropping (SN28) and MEAN (average of the two varieties in sole cropping), MIX yield was significantly higher by 17.39%, 3.86% and 10.21%. These findings revealed that mixed cropping improved yields due to improved wheat denseness tolerance, reduced field lodging rate, and increased grain weight. Our study concluded that this could be a cultivation measure to effectively suppress the occurrence of wheat lodging from the perspective of adaptive changes in stem under dense planting populations, to provide a theoretical basis for wheat lodging resistance and yield increase.

Identification and characterization of stripe rust, leaf rust, leaf spot, and common bunt resistance in spring wheat

AbstractHundreds of quantitative trait loci (QTLs) have been reported in diverse types of hexaploid wheat (Triticum aestivum L.) populations, but direct comparisons of QTLs in different studies and populations are still challenging due to the lack of physical positions for most QTLs. Here, we used the International Wheat Genome Sequencing Consortium (IWGSC) RefSeq v2.0 physical map of all markers to map QTLs associated with leaf spot (Ls), leaf rust (Lr), stripe rust (Yr), and common bunt (Cbt) resistance in two recombinant inbred line populations. QTL mapping was conducted using the IWGSC physical map of 3158 and 5732 markers and disease severity data of Peace/Carberry and Attila/CDC Go populations evaluated in three to eight environments. We uncovered a total of 82 QTLs associated with Yr (36), Ls (18), Lr (15), and Cbt (13) resistance in the individual and overall means of all combined environments. Among them, 29 were associated with all combined environments, which accounted for 0.5%–20.9% individually and 12.4%–41.2% of the total disease severity per trait. Three (QLr.dms‐2D.2, QLs.dms‐5B, and QYr.dms‐5B.2) of the 29 QTLs were common in both populations. Fourteen out of the 29 QTLs were stable as they were identified both in the overall means and most of the individual environments. Ten chromosome arms harbored a cluster of QTLs associated with resistance to two to four diseases. This methodology would serve as one of the resources to compare QTLs identified in different populations and studies based on the improved physical information of all markers instead of population‐specific and consensus linkage maps.

Two major quantitative trait loci control wheat dwarf virus resistance in four related winter wheat populations

Key messageQwdv.ifa-6A on chromosomes 6AL and Qwdv.ifa-1B on chromosome 1B are highly effective against wheat dwarf virus and act additively when combined.Wheat dwarf virus (WDV) is among the most damaging viral pathogens. Its prevalence has increased substantially in recent years, and it is predicted to increase even further due to global warming. There are limited options to control the virus. Growing resistant cultivars would safeguard crops, but most current wheat cultivars are highly susceptible. Thus, the aim of this study was to dissect the genetic architecture of WDV resistance in resistant germplasm and to identify quantitative trait loci (QTL) to support resistance breeding. QTL mapping was conducted using four related populations comprising 168, 105, 99 and 130 recombinant inbred lines. Populations were evaluated under field conditions for three years. Natural infestation was provoked by early autumn sowing. WDV symptom severity was visually assessed at two time points in spring. QTL analysis revealed two highly significant QTL with the major QTL Qwdv.ifa-6A mapping to the long arm of chromosome 6A between markers Tdurum_contig75700_411 (601,412,152 bp) and AX-95197581 (605,868,853 bp). Qwdv.ifa-6A descends from the Dutch experimental line SVP-72017 and was of high effect in all populations, explaining up to 73.9% of the phenotypic variance. The second QTL, Qwdv.ifa-1B, mapped to chromosome 1B and is putatively associated with the 1RS.1BL translocation, which was contributed by the CIMMYT line CM-82036. Qwdv.ifa-1B explained up to 15.8% of the phenotypic variance. Qwdv.ifa-6A and Qwdv.ifa-1B are among the first identified highly effective resistance QTL and represent valuable resources for improving WDV resistance in wheat.

Development of interspecific segregating populations of wheat and evaluation of agronomic characteristics and resistance to Fusarium head blight

The objective of this study was to develop segregating wheat populations for resistance to gibberella through the introgression of synthetic wheat genes in traditional cultivars and to present the results using the backcross method. In addition, to evaluate these populations in F1RC2, agronomic aspects and type II and III resistance to Fusarium head blight (FHB). The cultivars BRS Guamirim and BRS 179 were used as male parents and three synthetic wheat cultivars (CIGM90.909, CIGM92.1666, and CIGM93.298) as female parents, both previously characterized for the reaction to FHB. Crossing and backcrossing methodological procedures were performed to provide adequate controlled conditions. The F1 (winter 2016), RC1 (summer 2016/2017), and RC2 (winter 2017) populations were developed through emasculation and pollination procedures. In the winter of 2018, segregating populations were evaluated in the field using a randomized block design. In the three generations developed in a greenhouse, it was observed that the best crossbreeding combinations, verified by the number of grains, were obtained with the male parent BRS 179. Under field conditions, all segregating populations were considered moderately susceptible and susceptible to type II resistance. In type III resistance, all segregating populations, except for CIGM90.909/BRS 179 and BRS 179, showed values above 50%. Thus, it was evident that the crossings performed with the male parent BRS 179 generated better resistance to the disease.

Mapping of quantitative trait loci for leaf rust resistance in the wheat population 'Xinmai 26/Zhoumai 22'.

Leaf rust, caused by the fungal pathogen Puccinia triticina (Pt), is one of the major and dangerous diseases of wheat, and has caused serious yield loss of wheat worldwide. Here, we investigated adult-plant resistance (APR) to leaf rust in a recombinant inbred line (RIL) population derived from 'Xinmai 26' and 'Zhoumai 22' over 3 years. Linkage mapping for APR to leaf rust revealed four quantitative trait loci (QTL) in this RIL population. Two QTL, QLr.hnau-2BS and QLr.hnau-3BS were contributed by 'Zhoumai22', whereas QLr.hnau-2DS and QLr.hnau-5AL were contributed by 'Xinmai 26'. The QLr.hnau-2BS covering a race-specific resistance gene Lr13 showed the most stable APR to leaf rust. Overexpression of Lr13 significantly increased APR to leaf rust. Interestingly, we found that a CNL(coiled coil-nucleotide-binding site-leucine-rich repeat)-like gene, TaCN, in QLr.hnau-2BS completely co-segregated with leaf rust resistance. The resistant haplotype TaCN-R possessed half the sequence of the coiled-coil domain of TaCN protein. Lr13 strongly interacted with TaCN-R, but did not interact with the full-length TaCN (TaCN-S). In addition, TaCN-R was significantly induced after Pt inoculation and changed the sub-cellular localization of Lr13 after interaction. Therefore, we hypothesized that TaCN-R mediated leaf rust resistance possibly by interacting with Lr13. This study provides important QTL for APR to leaf rust, and new insights into understanding how a CNL gene modulates disease resistance in common wheat.

Yield Stability and Quality of Wheat (Triticum spp.) and Barley (Hordeum Vulgare) Populations Evolving under Different Microenvironments: A review

Climate change, human population growth, human health and food security, safety, and sovereignty all demand that the role of biodiversity in plant breeding be revisited. From a biological standpoint, it is possible that populations of diverse plants developed by evolutionary plant breeding will be able to handle the majority of these major issues. Water stress and soil nutrient deficiency may have a negative impact on wheat (Triticum spp.) and barley (Hordeum vulgare) yields and qualities. Drought-tolerant wheat cultivars with high yield and quality potential and improved grain protein content must be developed if food security is to be maintained. Wheat and barley (Triticum spp. and Hordeum vulgare, respectively) are the focus of this research, which aims to examine the stability of evolutionary populations (EPs) in the face of stressful and changeable settings. It's also important to look at how evolved populations stack up against improved varieties in terms of yield and its components. There has not been much progress in making wheat and barley more resistant to drought, especially in Jordan, where the problem is felt the most.

Identification of QTL for reducing loss of grain yield under salt stress conditions in bi-parental populations derived from wheat landrace Hongmangmai.

A novel QTL (QSt.nftec-2BL) was mapped to a 0.7cM interval on chromosome 2B. Plants carrying QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise in salinized fields. Wheat yield has been limited by soil salinity in many wheat-growing areas globally. The wheat landrace Hongmangmai (HMM) possesses salt tolerance as it produced higher grain yields than other tested wheat varieties including Early Premium (EP) under salt stresses. To detect QTL underlying this tolerance, wheat cross EP × HMM was chosen to serve as mapping population that was homozygous at Ppd (photoperiod response gene), Rht (reduced plant height gene) and Vrn (vernalization gene); thus, interference with QTL detection by these loci could be minimized. QTL mapping was conducted firstly using 102 recombinant inbred lines (RILs) that were selected from the EP × HMM population (827 RILs) for similarity in grain yield under non-saline condition. Under salt stresses, however, the 102 RILs varied significantly in grain yield. These RILs were genotyped using a 90K SNP (single nucleotide polymorphism) array; consequently, a QTL (QSt.nftec-2BL) was detected on chromosome 2B. Then, using 827 RILs and new simple sequence repeat (SSR) markers developed according to the reference sequence IWGSC RefSeq v1.0, location of QSt.nftec-2BL was refined to a 0.7cM (6.9Mb) interval flanked by SSR markers 2B-557.23 and 2B-564.09. Selection for QSt.nftec-2BL was performed based on the flanking markers using two bi-parental wheat populations. Trials for validating effectiveness of the selection were conducted in salinized fields in two geographical areas and two crop seasons, demonstrating that wheat plants with the salt-tolerant allele in homozygous status at QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise.

Virulence Phenotyping and Molecular Genotyping Reveal High Diversity Within and Strong Gene Flow Between the Puccinia striiformis f. sp. tritici Populations Collected from Barberry and Wheat in Shaanxi Province of China.

Emergence of new Puccinia striiformis f. sp. tritici races that overcome resistance of wheat cultivars is a challenging issue for wheat production. Although sexual reproduction of the fungus on barberry plants under field conditions in the spring in China has been reported, the diversity of the pathogen on barberry plants and the relationship to the population in wheat fields have not been determined. In the present study, two P. striiformis f. sp. tritici populations collected in western Shaanxi Province in May 2016, one from barberry plants (103 isolates) and the other from nearby wheat crops (107 isolates), were phenotyped for virulence and genotyped with simple sequence repeat (SSR) markers. The phenotypic and genotypic data of the two populations were compared to determine their relationships. A total of 120 races, including 29 previously known races (seven were shared by the two populations) and 91 new races (35 from barberry and 56 from wheat), were identified. Similarly, a total of 132 multilocus genotypes, including 51 only from barberry, 77 only from wheat, and four from both, were detected using the SSR markers. Analyses of molecular variance identified high (93%) genetic variance within populations and low but still significant variance (7%) between the populations. Nonparametric multivariate discriminant analysis of principal components and STRUCTURE analysis showed that the two populations had a close relationship with little genetic differentiation (FST = 0.038) and strong gene flow (Nm = 6.34, P = 0.001) between them. Although the analysis of linkage disequilibrium indicated clonal populations, the isolation of P. striiformis f. sp. tritici from barberry plants and the high genetic diversities in the barberry and wheat populations suggest that barberry plants provide aeciospores to infect wheat crops in the area. The information is useful for understanding stripe rust epidemiology and management of the disease.

Combining controlled-release urea and normal urea with appropriate nitrogen application rate to reduce wheat stem lodging risk and increase grain yield and yield stability

A mixture of controlled-release urea and normal urea (CRUNU) is an efficient nitrogen (N) fertilizer type, but little is known about its effects on stem lodging resistance, grain yield, and yield stability of wheat. In this study, a 4-year field experiment (from 2017 to 2021) was conducted to analyze the effects of N fertilizer types (CRUNU and normal urea (NU)) and application rates (low level (L), 135 kg ha−1; medium level (M), 180 kg ha−1; high level (H), 225 kg ha−1) on population lodging resistance, basal internode strength, lignin content and synthetase activity, stem lodging resistance, grain yield, and yield stability of wheat. Our results showed that the two N fertilizer types had the highest lodging rate under high N application rates, and the M-CRUNU treatment showed the lowest lodging rate. Compared with NU, CRUNU improved the wheat population lodging resistance under the three N application rates, mainly related to improving wheat population characteristics and breaking the strength of the second basal internode. Correlation analysis showed that the breaking strength of the second basal internode was related to the physical characteristics, chemical components, and micro-structure of the internode. Compared with NU, CRUNU significantly increased wheat grain yield by 4.47, 14.62, and 3.12% under low, medium, and high N application rates, respectively. In addition, CRUNU showed no significant difference in grain yield under medium and high N application rates, but it presented the highest yield stability under the medium N application rate. In summary, CRUNU, combined with the medium N application rate, is an efficient agronomic management strategy for wheat production.

Characterization and functional analyses of wheat TaPR1 genes in response to stripe rust fungal infection

The pathogenesis-related protein-1 (PR1) gene is important for plants to respond to various biotic and abiotic stresses. Unlike those in model plants, PR1 genes in wheat have not been systematically studied. Herein, we identified 86 potential TaPR1 wheat genes using bioinformatics tools and RNA sequencing. Kyoto Encyclopedia of Genes and Genomes analysis indicated that the TaPR1 genes were involved in the salicylic acid signalling pathway, MAPK signalling pathway, and phenylalanine metabolism in response to Pst-CYR34 infection. Ten of the TaPR1 genes were structurally characterized and validated by RT‒PCR. One particular gene, TaPR1-7, was found to be associated with resistance to Puccinia striiformis f. sp. tritici (Pst) in a biparental wheat population. Virus-induced gene silencing showed that TaPR1-7 is important for Pst resistance in wheat. This study provides the first comprehensive study on wheat PR1 genes, improving our overall understanding of these genes in plant defenses, particularly against stripe rust.

Identifying genomic regions determining shoot and root traits related to nitrogen uptake efficiency in a multiparent advanced generation intercross (MAGIC) winter wheat population in a high-throughput phenotyping facility

In the context of a continuously increasing human population that needs to be fed, with environmental protection in mind, nitrogen use efficiency (NUE) improvement is becoming very important. To understand the natural variation of traits linked to nitrogen uptake efficiency (UPE), one component of NUE, the multiparent advanced generation intercross (MAGIC) winter wheat population WM-800 was phenotyped under two contrasting nitrogen (N) levels in a high-throughput phenotyping facility for six weeks. Three biomass-related, three root-related, and two reflectance-related traits were measured weekly under each treatment. Subsequently, the population was genetically analysed using a total of 13,060 polymorphic haplotypes and singular SNPs for a genome-wide association study (GWAS). In total, we detected 543 quantitative trait loci (QTL) across all time points and traits, which were pooled into 42 stable QTL (sQTL; present in at least three of the six weeks). Besides Rht-B1 and Rht-D1, candidate genes playing a role in gibberellic acid-regulated growth and nitrate transporter genes from the NPF gene family, like NRT 1.1, were linked to sQTL. Two novel sQTL on chromosomes 5 A and 6D showed pleiotropic effects on several traits. The high number of N-specific sQTL indicates that selection for UPE is useful specifically under N-limited conditions.

Integrating exponential regression model optimizations for wheat area, productivity and population through statistical and machine learning approaches

Integrating exponential regression model optimizations for wheat area, productivity and population through statistical and machine learning approaches

Monitoring of Wheat Fusarium Head Blight on Spectral and Textural Analysis of UAV Multispectral Imagery

Crop disease identification and monitoring is an important research topic in smart agriculture. In particular, it is a prerequisite for disease detection and the mapping of infected areas. Wheat fusarium head blight (FHB) is a serious threat to the quality and yield of wheat, so the rapid monitoring of wheat FHB is important. This study proposed a method based on unmanned aerial vehicle (UAV) low-altitude remote sensing and multispectral imaging technology combined with spectral and textural analysis to monitor FHB. First, the multispectral imagery of the wheat population was collected by UAV. Second, 10 vegetation indices (VIs)were extracted from multispectral imagery. In addition, three types of textural indices (TIs), including the normalized difference texture index (NDTI), difference texture index (DTI), and ratio texture index (RTI) were extracted for subsequent analysis and modeling. Finally, VIs, TIs, and VIs and TIs integrated as the input features, combined with k-nearest neighbor (KNN), the particle swarm optimization support vector machine (PSO-SVM), and XGBoost were used to construct wheat FHB monitoring models. The results showed that the XGBoost algorithm with the fusion of VIs and TIs as the input features has the highest performance with the accuracy and F1 score of the test set being 93.63% and 92.93%, respectively. This study provides a new approach and technology for the rapid and nondestructive monitoring of wheat FHB.

Real-time determination of flowering period for field wheat based on improved YOLOv5s model.

The flowering period is one of the important indexes of wheat breeding. The early or late flowering affects the final yield and character stability of wheat. In order to solve the problem that it is difficult to accurately and quickly detect the flowering period of a large number of wheat breeding materials, a determination method of flowering period for field wheat based on the improved You Only Look Once (YOLO) v5s model was proposed. Firstly, a feature fusion (FF) method combing RGB images and corresponding comprehensive color features was proposed to highlight more texture features and reduce the distortion caused by light on the extracted feature images. Second, the YOLOv5s model was selected as a base version of the improved model and the convolutional block attention model (CBAM) was adopted into the feature fusion layer of YOLOV5s model. Florets and spikelets were given greater weight along the channel and spatial dimensions to further refine their effective feature information. At the same time, an integrated Transformer small-target detection head (TSDH) was added to solve the high miss rate of small targets in wheat population images. The accurate and rapid detection of florets and spikelets was realized, and the flowering period was determined according to the proportion of florets and spikelets. The experimental results showed that the average computing time of the proposed method was 11.5ms, and the average recognition accuracy of florets and spikelets was 88.9% and 96.8%, respectively. The average difference between the estimated flowering rate and the actual flowering rate was within 5%, and the determination accuracy of the flowering period reached 100%, which met the basic requirements of the flowering period determination of wheat population in the field.

Parâmetros genéticos e ganho de seleção em populações tropicais de trigo via inferência bayesiana

ABSTRACT: The development process of a new wheat cultivar requires time between obtaining the base population and selecting the most promising line. Estimating genetic parameters more accurately in early generations with a view to anticipating selection means important advances for wheat breeding programs. Thus, the present study estimated the genetic parameters of F2 populations of tropical wheat and the genetic gain from selection via the Bayesian approach. To this end, the authors assessed the grain yield per plot of 34 F2 populations of tropical wheat. The Bayesian approach provided an adequate fit to the model, estimating genetic parameters within the parametric space. Heritability (h2) was 0.51. Among those selected, 11 F2 populations performed better than the control cultivars, with genetic gain of 7.80%. The following populations were the most promising: TbioSossego/CD 1303, CD 1303/TbioPonteiro, BRS 254/CD 1303, Tbio Duque/Tbio Aton, and Tbio Aton/CD 1303. Bayesian inference can be used to significantly improve tropical wheat breeding programs.

Enhancing profitability and sustainability through herbicides on weed control in wheat-greengram cropping system in Punjab, India

A field study was conducted during the two successive years of Rabi, 2020–21, 2021–22 and Kharif, 2020– 21, 2021–22 at the research farm of Lovely Professional University, Jalandhar, Punjab (India) in a RBD (randomized block design) with eight weed-controlling treatments with three replications. In wheat, seed yield, straw yield, and minimum total weed population and dry weight of weed in subsequent wheat were noted with Pyroxasulfone, with at equality Pyroxasulfone as (PE), followed by HW twice (20 and 40 days after sowing), and 2,4-D sodium salt with a combination of 1 HW (60 DAS). The minimum weed population and dry weight of weeds, maximum weed control efficiency and Greengram growth characteristics, number of pods per plant, number of seeds per pod, test weight, seed and straw yields were noted with Pendimethalin at 2 DAS (PE) and Imazethapyr at 30 DAS (PE), which was at par with Imazethapyr as (PE), followed by (fb) Pendimethalin as (PoE), and HW twice at 20 and 40 days after sowing. It can be used for extremely active weed control to increase the output of Greengram.