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<p>Seed yield of common bean (<i>Phaseolus vulgaris</i> L.) is genetically complex. The objectives of this study were to: i) evaluate the four testing environments of the University of Zambia (UNZA) Bean Breeding program using Genotype plus Genotype by Environment biplot analysis, ii) identify the best performing genotype in all four testing environments, and iii) map the quantitative trait loci (QTL) for seed yield in an Andean population of recombinant inbred lines. A total of 155 F<sub>10</sub> recombinant inbred lines were evaluated for seed yield in seven field trials conducted in four testing environments namely Golden Valley Agricultural Research Trust (GART), UNZA, Kabwe and Mpika located in Zambia. All four testing environments were located in a single mega-environment, and the RIL SA135 being the best performer in this mega-environment. The population was genotyped with 5,398 single nucleotide polymorphism markers, and QTL analysis was conducted. A total of four QTL for seed yield specific to the testing environments GART and Mpika were mapped on chromosomes Pv02, Pv04, Pv06 and Pv09. The amount of variation in seed yield explained by individual QTL ranged from 6.0 to 8.2%. The QTL YLD2.1<sup>SA</sup> and YLD4.1<sup>SA</sup> overlapped with previously identified seed yield QTLs.</p>

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GGE biplot and QTL analyses for seed yield in an Andean population of common bean

  • 期刊论文

  • 发表日期：

    2025年4月25日

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  • Susan Chipandwe,
  • Swivia Hamabwe,
  • Brian Mwense,
  • Kuwabo Kuwabo,
  • David Lungu,
  • Isabella Chiaravallotti,
  • Valerio Hoyos-Villegas,
  • Kelvin Kamfwa

摘要

Seed yield of common bean (Phaseolus vulgaris L.) is genetically complex. The objectives of this study were to: i) evaluate the four testing environments of the University of Zambia (UNZA) Bean Breeding program using Genotype plus Genotype by Environment biplot analysis, ii) identify the best performing genotype in all four testing environments, and iii) map the quantitative trait loci (QTL) for seed yield in an Andean population of recombinant inbred lines. A total of 155 F10 recombinant inbred lines were evaluated for seed yield in seven field trials conducted in four testing environments namely Golden Valley Agricultural Research Trust (GART), UNZA, Kabwe and Mpika located in Zambia. All four testing environments were located in a single mega-environment, and the RIL SA135 being the best performer in this mega-environment. The population was genotyped with 5,398 single nucleotide polymorphism markers, and QTL analysis was conducted. A total of four QTL for seed yield specific to the testing environments GART and Mpika were mapped on chromosomes Pv02, Pv04, Pv06 and Pv09. The amount of variation in seed yield explained by individual QTL ranged from 6.0 to 8.2%. The QTL YLD2.1SA and YLD4.1SA overlapped with previously identified seed yield QTLs.