Selection for bean and liquor qualities within related hybrids of Arabica coffee in multilocal field trials

被引:11
作者
Agwanda, CO
Baradat, P
Eskes, AB
Cilas, C
Charrier, A
机构
[1] AMAP, INRA, CIRAD, UMR, F-34398 Montpellier 5, France
[2] Coffee Res Fdn, Ruiru, Kenya
[3] CIRAD CP, F-34398 Montpellier 5, France
[4] INRA, ENSAM, F-34060 Montpellier, France
关键词
Arabica coffee; Coffea arabica L; genotype-by-environment interaction; coffee quality; coefficients of genetic prediction; selection indices; Kenya;
D O I
10.1023/A:1023071815109
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The success of a new variety of Arabica coffee (Coffea arabica L.) depends to an important extent on its liquor and bean qualities. Selection for these traits is however constrained by the prevalence of large genotype-by-environment (G x E) interactions in conjunction with the low genetic variability characteristic of this species. The aim of this study was to assess the extent to which key bean and liquor traits are affected by the environments and could be combined in order to improve the efficiency of selection for coffee quality in a narrow genetic basis set of hybrids obtained from a set of related lines and collectively representing the Ruiru 11 cultivar. Twenty-one full-sib families representative of this hybrid cultivar grown in Kenya in five sites exhibiting strong edaphic and climatic differences were used for the study. Rainfall amounts during various phases of berry development were used to explain the differences observed in the discriminating abilities of the locations for bean and liquor traits. The results showed that these families were best differentiated for bean sizes in the site where moisture supply was optimal throughout berry expansion and filling stages, whereas discrimination on the basis of liquor traits were best observed in the site where moderate moisture stress occurred during bean filling stage. The overall precision in prediction of family values was low for liquor qualities; but a much more efficient selection for large bold beans, optimally based on the AA grade was shown to be possible. Selection indices for family selection were computed to realize a trade-off between genetic gains in bean size and liquor flavour.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 40 条
  • [1] Afnor, 1991, CONTR QUAL PROD AL A
  • [2] OPTIMAL ENVIRONMENTS FOR YIELD TESTING
    ALLEN, FL
    COMSTOCK, RE
    RASMUSSON, DC
    [J]. CROP SCIENCE, 1978, 18 (05) : 747 - 751
  • [3] Diallel analysis and integration in the breeding program of maritime pine of sensitivity to twisting rust.
    Baradat, P
    DesprezLoustau, ML
    [J]. ANNALES DES SCIENCES FORESTIERES, 1997, 54 (01): : 83 - 106
  • [4] Baradat P., 1995, Traitements statistiques des essais de selection: strategies d'amelioration des plantes perennes. Actes du seminaire de biometrie et genetique quantitative, 12-14 septembre 1994, Montpellier, France., P303
  • [5] Baradat P., 1995, Traitements statistiques des essais de selection: strategies d'amelioration des plantes perennes. Actes du seminaire de biometrie et genetique quantitative, 12-14 septembre 1994, Montpellier, France., P101
  • [6] BARADAT P, 1976, P IUFRO JOINT M ADV, P121
  • [7] CANNEL MGR, 1971, KENYA COFFEE, V36, P1
  • [8] Cannell M. G. R., 1975, Journal of Coffee Research, V5, P7
  • [9] CASTILLO J, 1988, VARIEDAD COLOMBIA
  • [10] CHARMETANT P, 1985, P 11 INT SCI C COFF, P489