Breaking the Yield Barriers to Enhance Genetic Gains in Wheat

Harikrishna,; Shashikumara, P.; Gajghate, Rahul; Devate, Narayana Bhat; Shiv, Aalok; Mehta, Brijesh K.; Sunilkumar, V. P.; Rathan, Nagenahalli Dharmegowda; Mottaleb, Khondoker Abdul; Sukumaran, Sivakumar; Jain, Neelu; Singh, Pradeep Kumar; Singh, Gyanendra

doi:10.1007/978-981-16-4449-8_9

Cited by 2 publications

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“…and the size of a mapping population, along with the frequency and distribution of molecular markers on the framework linkage-map are important determinants of QTL mapping. The dilution and concentration effects and the confounding effect of Ppd, Vrn and Rht genes on grain micronutrients are the bottlenecks for wheat biofortification [ 35 , 36 , 37 , 38 ]. Thus, a genetic understanding of TKW, TW and DH, DM, and PH is essential in order to develop high-yielding adoptable biofortified-cultivars without compromising grain quality and yield.…”

Section: Introductionmentioning

confidence: 99%

Mapping QTL for Phenological and Grain-Related Traits in a Mapping Population Derived from High-Zinc-Biofortified Wheat

Rathan

Krishnappa

Singh

et al. 2023

Plants

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Genomic regions governing days to heading (DH), days to maturity (DM), plant height (PH), thousand-kernel weight (TKW), and test weight (TW) were investigated in a set of 190 RILs derived from a cross between a widely cultivated wheat-variety, Kachu (DPW-621-50), and a high-zinc variety, Zinc-Shakti. The RIL population was genotyped using 909 DArTseq markers and phenotyped in three environments. The constructed genetic map had a total genetic length of 4665 cM, with an average marker density of 5.13 cM. A total of thirty-seven novel quantitative trait loci (QTL), including twelve for PH, six for DH, five for DM, eight for TKW and six for TW were identified. A set of 20 stable QTLs associated with the expression of DH, DM, PH, TKW, and TW were identified in two or more environments. Three novel pleiotropic genomic-regions harboring co-localized QTLs governing two or more traits were also identified. In silico analysis revealed that the DArTseq markers were located on important putative candidate genes such as MLO-like protein, Phytochrome, Zinc finger and RING-type, Cytochrome P450 and pentatricopeptide repeat, involved in the regulation of pollen maturity, the photoperiodic modulation of flowering-time, abiotic-stress tolerance, grain-filling duration, thousand-kernel weight, seed morphology, and plant growth and development. The identified novel QTLs, particularly stable and co-localized QTLs, will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection (MAS).

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Section: Introductionmentioning

confidence: 99%

Mapping QTL for Phenological and Grain-Related Traits in a Mapping Population Derived from High-Zinc-Biofortified Wheat

Rathan

Krishnappa

Singh

et al. 2023

Plants

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“…Recent improvements in high-throughput genotyping and phenotyping have boosted the feasibility of discovering the genetic basis of complex traits ( Devate et al., 2022a ), such as grain nutrient content. This has led to the popularization of whole-genome-marker-based techniques such as Quantitative trait loci (QTL) mapping, genome-wide association studies (GWASs), and genomic selection ( Krishnappa et al., 2021 ; Anilkumar et al., 2022 ; Harikrishna et al., 2022 ). Previous research has been conducted to find grain iron- and zinc- associated QTLs in order to identify potential candidate genomic loci ( Xu et al., 2012 ; Crespo-Herrera et al., 2017 ; Krishnappa et al., 2017 ; Velu et al., 2017 ; Wang et al., 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of marker trait associations for grain micro-nutrients and thousand grain weight under heat and drought stress conditions in wheat

et al. 2023

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IntroductionWheat is grown and consumed worldwide, making it an important staple food crop for both its calorific and nutritional content. In places where wheat is used as a staple food, suboptimal micronutrient content levels, especially of grain iron (Fe) and zinc (Zn), can lead to malnutrition. Grain nutrient content is influenced by abiotic stresses, such as drought and heat stress. The best method for addressing micronutrient deficiencies is the biofortification of food crops. The prerequisites for marker-assisted varietal development are the identification of the genomic region responsible for high grain iron and zinc contents and an understanding of their genetics.MethodsA total of 193 diverse wheat genotypes were evaluated under drought and heat stress conditions across the years at the Indian Agricultural Research Institute (IARI), New Delhi, under timely sown irrigated (IR), restricted irrigated (RI) and late sown (LS) conditions. Grain iron content (GFeC) and grain zinc content (GZnC) were estimated from both the control and treatment groups. Genotyping of all the lines under study was carried out with the single nucleotide polymorphisms (SNPs) from Breeder’s 35K Axiom Array.Result and DiscussionThree subgroups were observed in the association panel based on both principal component analysis (PCA) and dendrogram analysis. A large whole-genome linkage disequilibrium (LD) block size of 3.49 Mb was observed. A genome-wide association study identified 16 unique stringent marker trait associations for GFeC, GZnC, and 1000-grain weight (TGW). In silico analysis demonstrated the presence of 28 potential candidate genes in the flanking region of 16 linked SNPs, such as synaptotagmin-like mitochondrial-lipid-binding domain, HAUS augmin-like complex, di-copper center-containing domain, protein kinase, chaperonin Cpn60, zinc finger, NUDIX hydrolase, etc. Expression levels of these genes in vegetative tissues and grain were also found. Utilization of identified markers in marker-assisted breeding may lead to the rapid development of biofortified wheat genotypes to combat malnutrition.

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Breaking the Yield Barriers to Enhance Genetic Gains in Wheat

Cited by 2 publications

References 292 publications

Mapping QTL for Phenological and Grain-Related Traits in a Mapping Population Derived from High-Zinc-Biofortified Wheat

Mapping QTL for Phenological and Grain-Related Traits in a Mapping Population Derived from High-Zinc-Biofortified Wheat

Genetic dissection of marker trait associations for grain micro-nutrients and thousand grain weight under heat and drought stress conditions in wheat

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