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Chickpea, a cool-season grain legume enriched with high nutritive value is grown globally over 90 countries. Seed weight trait is one of the important quality parameters for fetching premium market price. Thus, improving seed traits, including high 100-seed weight (SW) is one of the major targets of chickpea breeding. A study of genetic variability, molecular diversity and marker-trait association (MTA) analysis for 100 SW was performed in a panel of 96 chickpea genotypes consisting of crop wild relatives, landraces, advanced breeding lines and released varieties. A wide range of genetic variability and high heritability for the studied trait indicated the great scope of improving this trait. Simple sequence repeat marker-based genetic diversity analysis grouped all the genotypes into two groups. This result was consistent with the result obtained from factorial and population structure analysis. To delineate the significant marker-trait association for 100 SW, association analysis was performed in the given panel of chickpea genotypes. The mixed linear model (MLM) was employed for detecting significant MTAs for 100 SW. Following MLM analysis, a total of seven significant MTAs was detected in the year 2016-17. While in the year 2017-18, MLM analysis showed three significant MTAs for 100 SW. Three markers TAA60, CakTpSSR02719, H1B04 markers exhibited significant MTA for both the years consistently. Thus, these genomic regions could be fine mapped in future for improving 100 SW in chickpea.

Crop plants encounter a variety of biotic challenges in the field and faces significant reduction in crop yield. In the current scenario of an ever increasing global population, there is an urgent need to protect plant health by using sustainable approach to maximize the crop productivity and to mitigate the food demands. Nowadays, we mostly rely on chemical crop protection techniques, which are causing a number of environmental and health difficulties. Defence priming is a chemical-free, eco-friendly, and sustainable strategy of crop protection, which is also called "green vaccination. In the present study, for the first time, we used

Improving plant resistance against Fusarium wilt (FW) is key to sustaining chickpea production worldwide. Given this, the current study tested a set of 75 FW-responsive chickpea breeding lines including checks in a wilt-sick plot for two consecutive years (2016 and 2017). Genetic diversity analysis using 75 simple sequence repeats (SSRs) revealed a total of 267 alleles with an average of 3.56 alleles per marker. The entire set was divided into two major classes based on clustering method and factorial analysis. Similarly, STRUCTURE analysis placed the 75 genotypes into three distinct sub-groups (K = 3). Marker-trait association (MTA) analysis using the generalized linear model approach revealed nine and eight significant MTAs for FW resistance in the years 2016 and 2017, respectively. Three significant MTAs were obtained for FW resistance following the mixed linear model approach for both years. The SSR markers CESSR433, NCPGR21 and ICCM0284 could be potentially employed for targeted and accelerated improvement of FW resistance in chickpea. To the best of our knowledge, this is the first report on association mapping of the genomic loci controlling FW (Foc2) resistance in chickpea.

Golden buckwheat (Fagopyrum dibotrys or Fagopyrum cymosum) and Tartary buckwheat (Fagopyrum tataricum) belong to the Polygonaceae and the Fagopyrum genus is rich in flavonoids. Golden buckwheat is a wild relative of Tartary buckwheat, yet golden buckwheat is a traditional Chinese herbal medicine and Tartary buckwheat is a food crop. The genetic basis of adaptive divergence between these two buckwheats is poorly understood. Here, we assembled a high-quality chromosome-level genome of golden buckwheat and found a one-to-one syntenic relationship with the chromosomes of Tartary buckwheat. Two large inversions were identified that differentiate golden buckwheat and Tartary buckwheat. Metabolomic and genetic comparisons of golden buckwheat and Tartary buckwheat indicate an amplified copy number of FdCHI, FdF3H, FdDFR, and FdLAR gene families in golden buckwheat, and a parallel increase in medicinal flavonoid content. Resequencing of 34 wild golden buckwheat accessions across the two morphologically distinct ecotypes identified candidate genes, including FdMYB44 and FdCRF4, putatively involved in flavonoid accumulation and differentiation of plant architecture, respectively. Our comparative genomic study provides abundant genomic resources of genomic divergent variation to improve buckwheat with excellent nutritional and medicinal value.

In the context of climate change, heat stress during the reproductive stages of chickpea (Cicer arietinum L.) leads to significant yield losses. In order to identify the genomic regions responsible for heat stress tolerance, a recombinant inbred line population derived from DCP 92-3 (heat sensitive) and ICCV 92944 (heat tolerant) was genotyped using the genotyping-by-sequencing approach and evaluated for two consecutive years (2017 and 2018) under normal and late sown or heat stress environments. A high-density genetic map comprising 788 single-nucleotide polymorphism markers spanning 1,125 cM was constructed. Using composite interval mapping, a total of 77 QTLs (37 major and 40 minor) were identified for 12 of 13 traits. A genomic region on CaLG07 harbors quantitative trait loci (QTLs) explaining >30% phenotypic variation for days to pod initiation, 100 seed weight, and for nitrogen balance index explaining >10% PVE. In addition, we also reported for the first time major QTLs for proxy traits (physiological traits such as chlorophyll content, nitrogen balance index, normalized difference vegetative index, and cell membrane stability). Furthermore, 32 candidate genes in the QTL regions that encode the heat shock protein genes, heat shock transcription factors, are involved in flowering time regulation as well as pollen-specific genes. The major QTLs reported in this study, after validation, may be useful in molecular breeding for developing heat-tolerant superior lines or varieties.

High temperature (HT) stress is assuming serious production constraint for chickpea production worldwide. A collection of 182 diverse chickpea genotypes was assessed for genetic variation in 15 traits including phenological, physiological and yield-related traits under both normal sown (NS) and late sown (LS) conditions for two years 2017-2018 and 2018-2019, which revealed significant variation for all the traits. Association mapping of chickpea genotypes was also conducted with 120 simple sequence repeat markers distributed across all the chickpea chromosomes to discern the molecular diversity and to capture the significant marker-trait association (MTA). MTA analysis based on mixed linear model (MLM) revealed a total of 24 and 14 significant associations for various traits evaluated under NS conditions in 2017 and 2018, respectively. Similarly, a total of 17 and 34 significant associations for various traits were also recorded under LS conditions in 2018 and 2019, respectively. Notably, ICCM0297, NCPGR150, TAA160 and NCPGR156 markers showed significant MTA under both NS and LS conditions and GA11 exhibited significant MTA for filled pod% under late sown condition for both years. Thus, these markers could be useful for genomics-assisted breeding for developing heat-tolerant chickpea genotype.

High temperature (HT) stress is assuming serious production constraint for chickpea production worldwide. A collection of 182 diverse chickpea genotypes was assessed for genetic variation in 15 traits including phenological, physiological and yield-related traits under both normal sown (NS) and late sown (LS) conditions for two years 2017–2018 and 2018–2019, which revealed significant variation for all the traits. Association mapping of chickpea genotypes was also conducted with 120 simple sequence repeat markers distributed across all the chickpea chromosomes to discern the molecular diversity and to capture the significant marker-trait association (MTA). MTA analysis based on mixed linear model (MLM) revealed a total of 24 and 14 significant associations for various traits evaluated under NS conditions in 2017 and 2018, respectively. Similarly, a total of 17 and 34 significant associations for various traits were also recorded under LS conditions in 2018 and 2019, respectively. Notably, ICCM0297, NCPGR150, TAA160 and NCPGR156 markers showed significant MTA under both NS and LS conditions and GA11 exhibited significant MTA for filled pod% under late sown condition for both years. Thus, these markers could be useful for genomics-assisted breeding for developing heat-tolerant chickpea genotype.

Buckwheat is a gluten-free crop under the family Polygonaceae abundant with beneficial phytochemicals that provide significant health benefits. It is cultivated and adapted in diverse ecological zones all over the world. Recently its popularity is expanding as a nutrient-rich healthy food with low-calories. The bioactive compounds in buckwheat are flavonoids (i.e., rutin, quercetin, orientin, isoorientin, vitexin, and isovitexin), fatty acids, polysaccharides, proteins, and amino acids, iminosugars, dietary fiber, fagopyrins, resistant starch, vitamins, and minerals. Buckwheat possesses high nutritional value due to these bioactive compounds. Additionally, several essential bioactive factors that have long been gaining interest because these compounds are beneficial for healing and preventing several human diseases. The present review demonstrates an overview of the recent researches regarding buckwheat phytochemicals and particularly focusing on the distinct function of bioactive components with their health benefits.

Seed traits present important breeding targets for enhancing grain yield and quality in various grain legume crops including pigeonpea. The present study reports significant genetic variation for six seed traits including seed length (SL), seed width (SW), seed thickness (ST), seed weight (SWT), electrical conductivity (EC) and water uptake (WU) among Cajanus cajan (L.) Millspaugh acc. ICPL 20340 and Cajanus scarabaeoides (L.) Thouars acc. ICP 15739 and an F2 population derived from this interspecific cross. Maximum phenotypic values recorded for the F2 population were higher than observed in the parent ICPL 20340 [F2 max vs ICPL 20340: SW (7.05 vs 5.38), ST (4.63 vs 4.51), EC (65.17 vs 9.72), WU (213.17 vs 109.5)], which suggested contribution of positive alleles from the wild parent, ICP 15739. Concurrently, to identify the QTL controlling these seed traits, we assayed two parents and 94 F2 individuals with 113 polymorphic simple sequence repeat (SSR) markers. In the F2 population, 98 of the 113 SSRs showed Mendelian segregation ratio 1:2:1, whereas significant deviations were observed for 15 SSRs with their χ(2) values ranging between 6.26 and 20.62. A partial genetic linkage map comprising 83 SSR loci was constructed. QTL analysis identified 15 marker-trait associations (MTAs) for seed traits on four linkage groups i.e. LG01, LG02, LG04 and LG05. Phenotypic variations (PVs) explained by these QTL ranged from 4.4 (WU) to 19.91% (EC). These genomic regions contributing significantly towards observed variability of seed traits would serve as potential candidates for future research that aims to improve seed traits in pigeonpea. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13205-020-02423-x) contains supplementary material, which is available to authorized users.

Given the current scenario of global climate change, high temperature stress is appearing as a major challenge limiting crop productivity including chickpea (Cicer arietinum L.). Evidences of significant yield loss in chickpea due to high temperature stress encountering during reproductive stage has been recorded. Therefore, to sustain chickpea productivity, identification of heat stress (HS) tolerant chickpea via recruiting ‘breeder’s friendly’ selection criteria based on yield traits under field condition is urgently needed. In our current study, we evaluated 78 chickpea genotypes (including 3 checks) in 5 blocks in augmented design under normal and late sown condition during 2015-16. Various HS tolerance indices, viz. mean productivity (MP), geometric mean productivity (GMP), yield index (YI), tolerance index (TOL), stress susceptibility index (SSI) and superiority measure (SM) were employed for identifying chickpea genotype based on grain yield under normal and HS conditions. Based on the important selection indices, viz. YI, MP, GMP and SSI the following genotypes RVG 203, RSG 888, JAKI 9218, GNG 469, IPC 06-11 showed higher to moderate heat tolerance. Positive and high significant correlation of Yp with Ys, MP, YI, GMP, SSI and TOL was recorded. Likewise, Ys showed positive and high significant correlation with MP and GMP. While, YI indicated significant and high positive correlation with MP and GMP, but it showed negative correlation with SSI. Importantly, MP and GMP both showed high and positive correlation with SSI and TOL, respectively. Importantly, principal component analysis lowered all the six indices into 2 components PC1 explaining 61.9% and PC2 explaining 37.1% of total variation. While, 3-D scatter plot analysis grouped all the genotypes into four groups. Likewise, considering cluster analysis, four distinct clusters were generated based on above-mentioned various indices. Towards this end, correlation analysis, 3-D scatter plot and cluster analysis explained that the most effective and efficient selection indices for identifying heat tolerant genotype are MP, YI, GMP and SSI.

Grain legumes serve as key sources of dietary protein to the global human population. Consequence of high-temperature (HT) stress is increasingly evident as drastically lost production of different crops including grain legumes worldwide, thus putting the global food security under great threat. In a changing climate scenario, cool season-adapted grain legumes frequently encounter heat stress (HS) during their reproductive phase, thus witnessing serious yield losses. To combat the emerging challenges of HT stress, an integrated approach demanding collaborative efforts from various disciplines of plant science should be in place. This review summarizes major impacts of HT stress on grain legume, and captures the relevance of crop genetic resources to HS tolerance in these crops. Measurement of physiological traits assumes key place in view of ever-increasing precision of next-generation phenotyping assays. We also discuss the significance of genetic inheritance and QTL discovery and evolving “omics” science for developing HS tolerance grain legume crops.

Improving seed related traits remains key objective in lentil breeding. In recent years, genomic resources have shown great promise to accelerate crop improvement. However, limited genomic resources in lentil greatly restrict the use of genomics assisted breeding. The present investigation aims to build an intraspecific genetic linkage map and identify the QTL associated with important seed relevant traits using 94 recombinant inbreds (WA 8649090 × Precoz). A total of 288 polymorphic DNA markers including simple sequence repeat (SSR), inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD) were assayed on mapping population. The resultant genetic linkage map comprised 220 loci spanning 604.2 cM of the lentil genome, with average inter-marker distance of 2.74 cM. QTL mapping in this RIL population uncovered a total of 18 QTL encompassing nine major and nine minor QTL. All major QTL were detected for seed related traits viz., seed diameter (SD), seed thickness (ST), seed weight (SW) and seed plumpness (SP) across two locations. A considerable proportion of the phenotypic variation (PV) was accounted to these QTL. For instance, one major QTL on LG5 controlling SW (QTL 15) explained 50% PV in one location, while the same QTL accounted for 34.18% PV in other location. Importantly, the genomic region containing multiple QTL for different seed traits was mapped to a 17-cM region on LG5. The genomic region harbouring QTL for multiple traits opens up exciting opportunities for genomics assisted improvement of lentil.

The availability of stable cytoplasmic male sterile (CMS or A) lines coupled with a robust restoration system (R lines) is an essential prerequisite for efficient hybrid breeding. CMS-enabled hybrid technology holds immense potential to enhance the long-stagnant productivity of pigeonpea. In the present investigation, cytoplasmic substitutions were made in the nuclear backgrounds of early-maturing pigeonpea varieties or lines. Three new CMS lines (ICPL 88039A, Pusa 992A, and DPP 3-2A) resulted from genetic crosses involving cytoplasmic donors from A2 (GT 288A) and A4 (ICPA 2089) categories. In addition to visual inspection of anthers, pollen-staining techniques and scanning electron microscopy (SEM) analysis were used to confirm pollen sterility. Further, given the relevance of the plant mitochondrial genome to CMS manifestation, 25 mitochondrion-specific DNA markers were assayed on these newly developed A lines and isogenic maintainer (B) lines. DNA polymorphism between Pusa 992A and Pusa 992B as revealed by the nad7a_del marker confirmed the successful combination of sterilizing cytoplasm (A4) and nonrestoring nuclear background (Pusa 992). Such cytoplasm-specific DNA markers are required for A2-CMS as well. Further, to assess restoration ability, potential restorers were crossed with these CMS lines, and as a consequence, promising A × R combinations exhibiting 100% pollen fertility could be identified. In parallel, we also analyzed the inheritance patterns underlying fertility restoration using ICPL 88039A-derived F2 and BC1F1 populations, and established a monogenic dominant model to explain the phenomenon of A2-CMS restoration. In summary, we report the successful development of new CMS lines and describe their effective deployment in hybrid breeding of pigeonpea.

Grain legumes are a key source for human nutrition and animal feed in the world. Also, these crops are important to support sustainable, low-input, and diverse farming systems. Efforts to improve legume crop yields have delivered modest outcomes. Increasing the productivity of these crops in an increasingly challenging environment with dwindling natural resources such as land and water demands the immediate incorporation of breakthrough technologies in crop breeding programs. A variety of genomic technologies in combination with modern breeding designs are now in place to optimize strategies for accelerated legume crop improvement. The current genomic arsenal of these grain legume crops includes reference genome assemblies and resequenced genomes, high-density molecular markers and genome maps, and a variety of genes/QTLs controlling agriculturally important traits. Innovative breeding techniques such as genomic selection and speed breeding that significantly reduce the breeding cycle time have been optimized in legume crops to improve breeding outcomes. The continuous decline in sequencing costs has paved the way for adopting sequence-based breeding to improve the breeding populations and varietal development. In this chapter, we highlight the recent genomic advances made in three major semiarid tropic (SAT) grain legume crops, that is, chickpea, pigeonpea, and groundnut. We follow with a discussion on how these technological advances have been translated into molecular breeding products in these crops. The chapter also explores opportunities to adopt modern breeding techniques to hasten the rate of genetic gains in these crops.

Chickpea production is seriously challenged by various biotic and abiotic stresses globally. Among the various abiotic stresses, drought, heat, salinity and cold stresses are the major factors that restrict sustainable global chickpea production. Considerable progress has been made in developing drought, heat, cold and salinity stress-tolerant chickpea genotypes through conventional breeding approaches in concert with advanced breeding methods. Concurrently, current progress of molecular marker technology and availability of high-density genetic maps allowed genetic dissection of various abiotic stresses through biparental QTL mapping approach in chickpea. Subsequently, release of draft chickpea genome sequences greatly enriched chickpea genomic repertoire that provided us great opportunity for exploring the novel genetic determinants/haplotypes controlling these stresses across the whole genome level through genome-wide association study (GWAS). In parallel, current efforts of re-sequencing of global chickpea germplasm hold great promise for exploring ‘haplotype assembly’ carrying allelic variations for various abiotic stresses. Likewise, rapid advances in functional genomic approaches have enabled in unfolding the candidate gene(s) underlying the QTLs controlling these abiotic stresses, providing novel insights into the key molecular players participating in the complex mechanisms to acclimatize chickpea against various abiotic stress stimuli. In this chapter, we cover the effects of various abiotic stresses in chickpea, scope of diverse gene pool enabling in tailoring abiotic stress-tolerant chickpea genotypes and the role of rapidly growing genomics and emerging phenomics approaches to measure precise spatio-temporal response of plant under abiotic stresses for bridging genotyping and phenotyping gap. Finally, we conclude the chapter by discussing feasibility and scope of novel breeding techniques including genomic selection, ‘speed breeding’ and genome editing tool that could help in accelerating desired genetic gain to ensure protein-based nutritional food security under the fluctuating global climate scenario.

Improved knowledge about plant cold stress tolerance offered by modern omics technologies will greatly inform future crop improvement strategies that aim to breed cultivars yielding substantially high under low-temperature conditions. Alarmingly rising temperature extremities present a substantial impediment to the projected target of 70% more food production by 2050. Low-temperature (LT) stress severely constrains crop production worldwide, thereby demanding an urgent yet sustainable solution. Considerable research progress has been achieved on this front. Here, we review the crucial cellular and metabolic alterations in plants that follow LT stress along with the signal transduction and the regulatory network describing the plant cold tolerance. The significance of plant genetic resources to expand the genetic base of breeding programmes with regard to cold tolerance is highlighted. Also, the genetic architecture of cold tolerance trait as elucidated by conventional QTL mapping and genome-wide association mapping is described. Further, global expression profiling techniques including RNA-Seq along with diverse omics platforms are briefly discussed to better understand the underlying mechanism and prioritize the candidate gene (s) for downstream applications. These latest additions to breeders’ toolbox hold immense potential to support plant breeding schemes that seek development of LT-tolerant cultivars. High-yielding cultivars endowed with greater cold tolerance are urgently required to sustain the crop yield under conditions severely challenged by low-temperature.

Highlights • An extensive review on diverse bioactive components of buckwheat. • Versatile beneficial phytochemicals are abundant in buckwheat. • Buckwheat has a wide range of pharmacological and beneficial health effects. • Huge research scope on Fagopyrum cymosum to identify the beneficial phytochemicals., Buckwheat is a gluten-free crop under the family Polygonaceae abundant with beneficial phytochemicals that provide significant health benefits. It is cultivated and adapted in diverse ecological zones all over the world. Recently its popularity is expanding as a nutrient-rich healthy food with low-calories. The bioactive compounds in buckwheat are flavonoids (i.e., rutin, quercetin, orientin, isoorientin, vitexin, and isovitexin), fatty acids, polysaccharides, proteins, and amino acids, iminosugars, dietary fiber, fagopyrins, resistant starch, vitamins, and minerals. Buckwheat possesses high nutritional value due to these bioactive compounds. Additionally, several essential bioactive factors that have long been gaining interest because these compounds are beneficial for healing and preventing several human diseases. The present review demonstrates an overview of the recent researches regarding buckwheat phytochemicals and particularly focusing on the distinct function of bioactive components with their health benefits.

Large-scale industrialization coupled with nonsustainable agricultural practices such as massive use of chemical fertilizers and metal-contaminated irrigation water continue to challenge crop production worldwide. At the same time, rising toxicity due to heavy metals including cadmium (Cd) poses a great risk to human health worldwide by causing multiple-organ failure and life-threatening diseases. Crop plants accumulate Cd from soil and water that has been contaminated with Cd. Thus, consumption of these Cd-contaminated food crops and water enables Cd entry into the human food chain. In this chapter we discuss the negative effects of Cd toxicity in plants. The enormous potential of genotypic variation of crop gene pools for improving the Cd tolerance of plants is highlighted. In parallel, the increasing application of multiple “omics” platforms including genomics, transcriptomics, proteomics, and metabolomics reveals unprecedented details about candidate genes/quantitative trait locus, regulatory gene networks, and various proteins and metabolites produced in response to Cd stress in plants. We summarize plant responses to circumstances constrained by Cd, with recent examples from different crops. Finally, we explore the scope of optimizing breeding systems using modern “omics” science and genome editing tools like CRISPR/Cas9 for delivering future crop genotypes that respond ably to Cd stress. Such enhanced cultivars of food crops will certainly yield more in Cd-challenged scenarios and help mitigate the risks associated with Cd accumulation in humans.

Micronutrient deficiencies are reported to affect more than two billion people worldwide. Importantly, people inhabiting rural and semi-urban areas are more vulnerable to these nutritional disorders. In view of the inadequacy of nutrition-specific approaches that rely on changing the food-consumption behaviour, nutrition-sensitive interventions like crop biofortification offer sustainable means to address the problem of malnutrition worldwide. Biofortification enhances nutrient density in crop plants during plant growth through genetic or agronomic practices. Traditional plant breeding techniques and genetic engineering approaches are key to crop biofortification. Here, we summarize recent advances in genomics that have contributed towards the progress of crop biofortification. Rapidly evolving technologies like high-density genotyping assays have accelerated harnessing gains associated with natural variation of mineral contents available in crop wild relatives and landraces. The genetic nature of the mineral composition is being resolved, thus furthering the understanding of trait architecture. Conventional QTL mapping techniques have made significant contribution towards this end. New molecular breeding techniques like genome-wide association study (GWAS) and genomic selection (GS) are opening new avenues for capturing the maximum variation for elemental content, majorly explained by small-effect QTL. The potential of GS in this respect is enhanced several fold with the increasing availability of rapid generation advancement systems and high-throughput elemental profiling platforms. Evidences from latest research involving cutting-edge omics techniques including metabolomics help better elucidate nutrient metabolism in plants. Increasing the efficiency of biofortification breeding could enhance the rate of delivery of nutritionally rich cultivars of food crops, which will be easily accessible to a larger segment of nutrient-deficient people in the most cost-efficient way.

Sustaining yield gains of grain legume crops under growing salt-stressed conditions demands a thorough understanding of plant salinity response and more efficient breeding techniques that effectively integrate modern omics knowledge. Grain legume crops are important to global food security being an affordable source of dietary protein and essential mineral nutrients to human population, especially in the developing countries. The global productivity of grain legume crops is severely challenged by the salinity stress particularly in the face of changing climates coupled with injudicious use of irrigation water and improper agricultural land management. Plants adapt to sustain under salinity-challenged conditions through evoking complex molecular mechanisms. Elucidating the underlying complex mechanisms remains pivotal to our knowledge about plant salinity response. Improving salinity tolerance of plants demand enriching cultivated gene pool of grain legume crops through capitalizing on ‘adaptive traits’ that contribute to salinity stress tolerance. Here, we review the current progress in understanding the genetic makeup of salinity tolerance and highlight the role of germplasm resources and omics advances in improving salt tolerance of grain legumes. In parallel, scope of next generation phenotyping platforms that efficiently bridge the phenotyping–genotyping gap and latest research advances including epigenetics is also discussed in context to salt stress tolerance. Breeding salt-tolerant cultivars of grain legumes will require an integrated “omics-assisted” approach enabling accelerated improvement of salt-tolerance traits in crop breeding programs.

Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.

Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.

Draft genome sequence in pigeonpea offers unprecedented opportunities for genomics assisted crop improvement via enabling access to genome-wide genetic markers. In the present study, 421 hypervariable simple sequence repeat (SSR) markers from the pigeonpea genome were screened on a panel of eight pigeonpea genotypes yielding marker validation and polymorphism percentages of 95.24 and 54.11%, respectively. The SSR marker assay uncovered a total of 570 alleles with three as an average number of alleles per marker. Similarly, the mean values for gene diversity and PIC were 0.44 and 0.37, respectively. The number of polymorphic markers ranged from 39 to 89 for different parental combinations. Further, 60 of these SSRs were assayed on 94 genotypes, and model based clustering using STRUCTURE resulted in the identification of the two subpopulations (K = 2). This remained in close agreement with the clustering patterns inferred from genetic distance (GD)-based approaches i.e., dendrogram, factorial and principal coordinate analysis (PCoA). The AMOVA accounted majority of the genetic variation within groups (89%) in comparison to the variation existing between the groups (11%). A subset of these markers was implicated for hybrid purity testing. We also demonstrated utility of these SSR markers in trait mapping through association and bi-parental linkage analyses. The general linear (GLM) and mixed linear (MLM) models both detected a single SSR marker (CcGM03681) with R2 = 16.4 as associated with the resistance to Fusarium wilt variant 2. Similarly, by using SSR data in a segregating backcross population, the corresponding restorer-of-fertility (Rf) locus was putatively mapped at 39 cM with the marker CcGM08896. However, The marker-trait associations (MTAs) detected here represent a very preliminary type and hence demand deeper investigations for conclusive evidence. Given their ability to reveal polymorphism in simple agarose gels, the hypervariable SSRs are valuable genomic resource for pigeonpea research community, particularly in South Asia and East Africa where pigeonpea is primarily grown.

Pigeonpea owing to its ability to sustain harsh environment and limited input/water requirement remains an excellent remunerative crop in the face of increasing climatic adversities. With nearly 70% share in global pigeonpea production, India is the leading pigeonpea producing country. Since the mid-1900s, constant research efforts directed to improve yield and resistance levels of pigeonpea have resulted in the development and deployment of several commercially accepted cultivars in India, accommodating into diverse agro-climatic zones. However, the crop productivity needs incremental improvements in order to meet the growing nutritional demands, especially in developing countries like India where pigeonpea forms a dominant part of vegetarian diet. Empowering crop improvement strategies with genomic tool kit is imperative to attain the project gains in crop yield. In the context, adoption of next-generation sequencing (NGS) technology has helped establish a wide range of genomic resources to support pigeonpea breeding, and the existing molecular tool kit includes genome-wide genetic markers, transcriptome/genome assemblies, and candidate genes/QTLs for target traits. Similarly, availability of whole mitochondrial genome sequence and derived DNA markers is immensely relevant in order to furthering the understanding of cytoplasmic male sterility (CMS) system and hybrid breeding. This chapter covers the progress of developing modern genomic resources in pigeonpea and highlights their vital role in designing future crop breeding schemes.

Draft genome sequence in pigeonpea offers unprecedented opportunities for genomics assisted crop improvement via enabling access to genome-wide genetic markers. In the present study, 421 hypervariable simple sequence repeat (SSR) markers from the pigeonpea genome were screened on a panel of eight pigeonpea genotypes yielding marker validation and polymorphism percentages of 95.24 and 54.11%, respectively. The SSR marker assay uncovered a total of 570 alleles with three as an average number of alleles per marker. Similarly, the mean values for gene diversity and PIC were 0.44 and 0.37, respectively. The number of polymorphic markers ranged from 39 to 89 for different parental combinations. Further, 60 of these SSRs were assayed on 94 genotypes, and model based clustering using STRUCTURE resulted in the identification of the two subpopulations (K = 2). This remained in close agreement with the clustering patterns inferred from genetic distance (GD)-based approaches i.e., dendrogram, factorial and principal coordinate analysis (PCoA). The AMOVA accounted majority of the genetic variation within groups (89%) in comparison to the variation existing between the groups (11%). A subset of these markers was implicated for hybrid purity testing. We also demonstrated utility of these SSR markers in trait mapping through association and bi-parental linkage analyses. The general linear (GLM) and mixed linear (MLM) models both detected a single SSR marker (CcGM03681) with R2 = 16.4 as associated with the resistance to Fusarium wilt variant 2. Similarly, by using SSR data in a segregating backcross population, the corresponding restorer-of-fertility (Rf) locus was putatively mapped at 39 cM with the marker CcGM08896. However, The marker-trait associations (MTAs) detected here represent a very preliminary type and hence demand deeper investigations for conclusive evidence. Given their ability to reveal polymorphism in simple agarose gels, the hypervariable SSRs are valuable genomic resource for pigeonpea research community, particularly in South Asia and East Africa where pigeonpea is primarily grown.