Gene Pool Subdivision of East African Sweetpotato Parental Material

Crop Science

Diaz, Federico C.^1¹  Mwanga, Robert O. M.^2²  David, Maria C.^1³  Tumwegamire, Silver^3⁴ 

[1] CIP, P.B. 22274, Kampala, Uganda^2;International Institute of Tropical Agriculture (IITA), P.B. 34441, Dar-es-Salaam, Tanzania^3;International Potato Center (CIP), P.B. 1556 Lima 12, Peru^1;Univ. Nacional Agraria La Molina, P.B. 12-056, Lima 12, Peru^4

关键词: AMOVA;    analysis of molecular variance;    CC;    check clone;    DAPC;    discriminant analysis of principal components;    D L;    discriminating power;    EA;    East Africa;    FV;    farmer varieties;    HEBS;    heterosis exploiting breeding scheme(s);    MV;    modern varieties;    OFSP;    orange-fleshed sweetpotato;    PC;    principal component;    PCoA;    principal coordinates analysis;    PCR;    polymerase chain reaction;    PIC;    polymorphic information content;    SPVD;    sweetpotato virus disease;    SSA;    sub-Saharan Africa;    SSR;    simple sequence repeat;    UPGMA;    unweighted pair group method analysis;   

DOI  :  10.2135/cropsci2017.11.0695

学科分类：农业科学（综合）

来源: Crop Science

【 摘 要 】

Sweetpotato [Ipomoea batatas (L.) Lam] breeding is important for food security and health in East Africa (EA), and a breeding platform in Uganda provides national researchers and breeders in EA with true seed. Our objectives were to characterize genetic relationships among parental material used at the EA breeding platform. There were 135 parents and six check clones analyzed using 31 simple sequence repeat primers. An average of 7.13 alleles per primer was found, and Jaccard similarity coefficients were in the range of 0.298 to 1.00 with a mean of 0.542. Unweighted pair group cluster analysis placed most African parents in two main subclusters showing no association with morphology or geographical origin. The subclusters were also supported by principal coordinate analysis, derivative analysis of principal components, and population structure simulations. The analyzed breeding material from EA was highly genetically variable, grouped in two distinct genetic pools, and suitable to study heterosis exploiting breeding schemes.

【 授权许可】

CC BY