Multigenerational prediction of genetic values using genome-enabled prediction.

The identification of elite individuals is a critical component of most breeding programs. However, the achievement of this goal is limited by the high cost of phenotyping and experimental research. A significant benefit of genomic selection (GS) to plant breeding is the identification of elite individuals without the need for phenotyping. This study aimed to propose different calibration strategies using combinations between generations from different genetic backgrounds to improve the reliability of GS and to investigate the effects of LD in different types of mating systems: outcrossing (An) self-pollination (Sn) and hybridization (Hn). For this purpose, we simulated a genome with 10 linkage groups. In each group, two QTL were simulated. Subsequently, an F2 population was created, followed by four generations of inbreeding (S1 to S4, H1 to H 4, A1, to A4,). Quantitative traits were simulated in three scenarios considering three degrees of dominance (d/a = 0, 0.5 and 1) and two broad sense heritabilities (h2 = 0.30 and 0.70), totaling six genetic architectures. To evaluate prediction reliability, a model (RR-BLUP) was trained in one generation and used to predict the following generations of mating systems. For example, the marker effects estimated in the F2 population were used to estimate the expected genomic breeding value (GEBV) in populations S1 through A4. The squared correlation between the GEBV and the true genetic value were used to measure the reliability of the predictions. Independently of the population used to estimate the marker effect, reliability showed the lowest values in the scenario where d = 1. For any scenario, the use of the multigenerational prediction methodology improved the reliability of GS.

Estabilidade e adaptabilidade de genótipos de algodão de fibra colorida quanto aos caracteres de fibra / Stability and adaptability of cotton genotypes of colorful fibers in relation to the fiber characters

O objetivo deste trabalho foi verificar a presença de interação genótipo x ambiente (G x A) e determinar a adaptabilidade e estabilidade fenotípica de linhagens de algodão de fibra marrom, utilizando o modelo de Ebehart & Russell. Foram conduzidos sete experimentos nos estados de CE, GO, MS e RN, em 2010 e 2011, em regime irrigado e de sequeiro. O delineamento utilizado foi blocos casualizados com quatro repetições. Foram avaliados 11 genótipos, segundo sete caracteres relativos à fibra. A interação G x A foi significativa para a maioria dos caracteres. As linhagens 1, 2, 3, 4, 5 e 7 demonstraram capacidade de resposta à melhoria de ambiente, sendo 1 e 5 os genótipos que apresentaram comportamento previsível para todas as características. O índice de fibras curtas mostrou ser uma característica de alta previsibilidade.

The objective of this study was to verify the presence of genotype x environment (G x E) interaction and determine the adaptability and phenotypic stability of strains of brown cotton fiber using the model of Ebehart & Russell. Seven experiments were conducted in the states of CE, GO, MS and RN, in 2010 and 2011 under irrigated and rain fed conditions. The experimental design was randomized blocks with four replications. Eleven genotypes were assessed according to seven characters on the fiber. The G x E interaction was significant for most characters. The lines 1, 2, 3, 4, 5 and 7 showed better responsiveness to the environment, being 1 and 5 genotypes showed all predictable behavior characteristics for all characteristics. The content of short fibers proved to be a characteristic of high predictability.