Rodrigues W P, Vieira H D, Barbosa D H S G, Souza Filho G R, Candido L S
Laboratório de Fitotecnia, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, RJ, Brasil.
Genet Mol Res. 2013 Jul 15;12(3):2391-9. doi: 10.4238/2013.July.15.2.
Biannuality in coffee culture causes temporal variability in plant productivity. Consequently, it is essential to evaluate genotypes during various crop years to ensure selection of productive and stable genotypes. We evaluated the effectiveness of simultaneous selection of coffee genotypes along harvests, based on productivity, stability, and adaptability, via mixed models, for indication of varieties suitable for Rio de Janeiro State. We evaluated 25 genotypes during 4 crop seasons (2009-2012), in a randomized block design with 5 replications. The ranking of genotypes was obtained on the basis of the adaptability and temporal stability methods (harmonic average of genetic values, relative performance of genetic values, and harmonic mean of the relative performance of the genetic values), obtained via restricted maximum likelihood/best linear unbiased procedure analysis. The selection accuracy (0.8717), associated with the high magnitude of mean heritability, indicate good reliability and prospects for success in the indication of agronomically superior genotypes. There was little variation in the ordering of genotypes among the environments, indicating low influence of harvests in the performance of the genotypes. Five of the 25 genotypes were superior and could be recommended for planting in the northwestern region of Rio de Janeiro State, due to high predicted productivity and stability. We recommend that these methodologies for evaluation of productivity, stability, and adaptability be included in the selection criteria for recommendation of genotypes for commercial plantings.
咖啡文化中的双年生特性导致植物生产力存在时间变异性。因此，在不同作物年份评估基因型至关重要，以确保选择出高产且稳定的基因型。我们通过混合模型，基于生产力、稳定性和适应性，评估了在不同收获期同时选择咖啡基因型的有效性，以指明适合里约热内卢州的品种。我们在2009 - 2012年的4个作物季节中，以随机区组设计、5次重复的方式评估了25个基因型。通过限制最大似然法/最佳线性无偏估计程序分析获得适应性和时间稳定性方法（遗传值的调和平均数、遗传值的相对表现以及遗传值相对表现的调和平均数），据此得出基因型的排名。选择准确性（0.8717）与较高的平均遗传力相关，表明在指明农艺学上优良的基因型方面具有良好的可靠性和成功前景。不同环境下基因型的排序变化不大，表明收获期对基因型表现的影响较小。25个基因型中有5个表现优异，因其预测的高生产力和稳定性，可推荐在里约热内卢州的西北部地区种植。我们建议将这些评估生产力、稳定性和适应性的方法纳入商业种植基因型推荐的选择标准中。
