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<p>Buckwheat is an underutilized crop with high nutritional values and antioxidant properties. The study was conducted with an aim to assess the genetic variability of 37 <i>Fagopyrum esculentum</i> Moench. and 67 <i>Fagopyrum tataricum</i> Gaertn. accessions using agro-morphological, biochemical, and microsatellite markers. For yield per plant, accessions, namely, IC24297, IC26591, and IC13413, with superior performances were identified. Based on correlations and regression-based path analysis, the key component traits, namely, number of seeds per plant, 100-seed weight, leaf blade width, seed width, and cyme length, were identified. Among<i> F</i><i>. esculentum</i> group, EC18771, IC107238, and IC107265 had the highest carbohydrate, protein, and the lowest phytic acid, respectively. Likewise, IC24297, EC18769, and IC26596, with the highest carbohydrate, protein, and lowest phytic acid content, respectively, were identified under the <i>F. tataricum </i>group. By analyzing 65 SSR markers, an average of 2.63 alleles per locus was detected, with an average PIC value of 0.431. The observed heterozygosity for the polymorphic markers varied from 0.019 (<i>Fagopyrum tataricum</i>) to 0.462 (<i>Fagopyrum esculentum</i>), with an average of 0.099, showing the lower level of expected heterozygosity in tartary buckwheat accessions. Based on Nei’s genetic distances, the buckwheat accessions were grouped into three clusters. Clusters I and III included the tartary accessions, while Cluster II encompassed both species. The AMOVA, conducted by categorizing the accessions into 25 subpopulations, indicated that 80% of the observed variation was due to differences among individuals, whereas 19% was due to within individuals. Based on additive main effects and multiplicative interaction (AMMI) and multi-trait stability index (MTSI) analyses, accessions, namely, IC13141, IC49667, IC26587, IC107983, and IC107981, have been identified as the best accessions, exhibiting high mean yield and stability across all three environments, and could be utilized in augmenting the buckwheat cultivation.</p>

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Extricating the allelic variation, population structure and genetic potential in buckwheat genotypes and substantiation of high yielding and stable genotypes with superior biochemical quality

  • 期刊论文

  • 发表日期：

    2025年11月8日

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  • Sunandan Swain,
  • Bingiala Laloo,
  • Partha Protim Dutta,
  • Simardeep Kaur,
  • Letngam Touthang,
  • Veerendra Kumar Verma,
  • Rahul Chandora,
  • Satish Kumar Yadav,
  • Amit Kumar

摘要

Buckwheat is an underutilized crop with high nutritional values and antioxidant properties. The study was conducted with an aim to assess the genetic variability of 37 Fagopyrum esculentum Moench. and 67 Fagopyrum tataricum Gaertn. accessions using agro-morphological, biochemical, and microsatellite markers. For yield per plant, accessions, namely, IC24297, IC26591, and IC13413, with superior performances were identified. Based on correlations and regression-based path analysis, the key component traits, namely, number of seeds per plant, 100-seed weight, leaf blade width, seed width, and cyme length, were identified. Among F. esculentum group, EC18771, IC107238, and IC107265 had the highest carbohydrate, protein, and the lowest phytic acid, respectively. Likewise, IC24297, EC18769, and IC26596, with the highest carbohydrate, protein, and lowest phytic acid content, respectively, were identified under the F. tataricum group. By analyzing 65 SSR markers, an average of 2.63 alleles per locus was detected, with an average PIC value of 0.431. The observed heterozygosity for the polymorphic markers varied from 0.019 (Fagopyrum tataricum) to 0.462 (Fagopyrum esculentum), with an average of 0.099, showing the lower level of expected heterozygosity in tartary buckwheat accessions. Based on Nei’s genetic distances, the buckwheat accessions were grouped into three clusters. Clusters I and III included the tartary accessions, while Cluster II encompassed both species. The AMOVA, conducted by categorizing the accessions into 25 subpopulations, indicated that 80% of the observed variation was due to differences among individuals, whereas 19% was due to within individuals. Based on additive main effects and multiplicative interaction (AMMI) and multi-trait stability index (MTSI) analyses, accessions, namely, IC13141, IC49667, IC26587, IC107983, and IC107981, have been identified as the best accessions, exhibiting high mean yield and stability across all three environments, and could be utilized in augmenting the buckwheat cultivation.