Breeding for resistance to gray leaf spot, caused by Cercospora zeae-maydis (Cz) is paramount for many maize environments, in particular under warm and humid growing conditions. In this study, we mapped and characterized quantitative trait loci (QTL) involved in the resistance of maize against Cz. We confirmed the impact of the QTL on disease severity using near-isogenic lines (NILs), and estimated their effects on three major agronomic traits using their respective near isogenic hybrids (NIHs), which we obtained by crossing the NILs with an inbred from a complementary heterotic pool. We further validated three of the four QTL that were mapped using the Multiple Interval Mapping approach and showed LOD values>2.5. NILs genotype included all combinations between favorable alleles of the two QTL located in chromosome 1 (Q1 in bin 1.05 and Q2 in bin 1.07), and the allele in chromosome 3 (Q3 in bin 3.07). Each of the three QTL separately significantly reduced the severity of Cz. However, we found an unfavorable epistatic interaction between Q1 and Q2: presence of the favorable allele at one of the QTL allele effectively nullified the effect of the favorable allele at the other. In contrast, the interaction between Q2 and Q3 was additive, promoting the reduction of the severity to a greater extent than the sum of their individual effects. When evaluating the NIH we found significant individual effects for Q1 and Q3 on gray leaf spot severity, for Q2 on stalk lodging and grain yield, and for Q3 on grain moisture and stalk lodging. We detected significant epitasis between Q1 and Q2 for grain moisture and between Q1 and Q3 for stalk lodging. These results suggest that the combination of QTL impacts the effectiveness of marker-assisted selection procedures in commercial product development programs.

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The molecular marker technology has been used on mapping of quantitative trait loci (QTLs) associated with plant resistance. The objectives of this research were to estimate genetic parameters and to map genomic regions involved in the resistance to gray leaf spot in maize. Ninety F 3 families from the BS03 (susceptible) and BS04 (resistant) cross were used. Field trials were performed using a 10 9 10 square lattice design with three replications. Data from 62 SSR markers were used for linkage analysis. The locations of the QTLs on the linkage groups were determined by composite interval mapping method and the phenotypic variance explained by each marker was determined by regression analysis. Several QTLs associated to disease resistance were identified in the population BS03 9 BS04. Some QTLs showed significant effects over the different environments studied. The existence of significant QTLs in common among different environments indicates these genomic regions as possible new tools for marker-assisted selection in maize breeding programs.

Controversial results have been achieved by attempting to associate the NRAMP1 gene with Mycobacterium leprae susceptibility as well as with the Mitsuda reaction, which represents a specific immune response to M. leprae. This study evaluated this association as well as the interaction of the polymorphism (GT)(n) in the promoter region of the NRAMP1 gene with a specific immune response to M. leprae measured by the intradermal Mitsuda test in leprosy patients and in non-consanguineous household contacts. The study aimed to evaluate the association of this gene polymorphism with resistance or susceptibility to the disease, and/or with clinical forms of the disease, in a population in an endemic area served by the State Reference Center in Sanitary Dermatology and Leprosy, Federal University of Uberlandia, MG, Brazil. Leprosy patients (90) were diagnosed according to Ridley and Jopling criteria and they grouped into multibacillary (MB) and paucibacillary (PB) patients. The control group consisted of 61 non-consanguineous contacts. NRAMP1 promoter genotypes were obtained through amplification by the polymerase chain reaction (PCR) followed by the detection through the low ionic-strength single strand conformational polymorphism (LIS-SSCP) electrophoretic technique. There were no significant differences in the allelic and genotypic frequencies for alleles 2, 3, and 4 in relation to the Mitsuda test among patients and household contacts, nor between those with MB and PB forms. However, individuals with a negative lepromin response associated with genotypes 22 and 23 presented a 7- and 8-fold greater chance of developing leprosy, respectively. Therefore, the NRAMP1 gene promoter polymorphism exhibited an interaction with the lepromin response, suggesting that allele 2 of the NRAMP1 promoter is an independent genetic factor that predisposes cells to enable pathogen survival, probably due to its low efficiency in iron transport. However, establishment of the infection and disease development may be conditioned by other immunological and genetic factors.

The aim of this study was to use a multienvironment trial approach from a mixed model point of view for factor analysis (FA) of the stability and adaptability of hybrids. Twenty-eight hybrids were analyzed in 35 environments across four seasons/years (summer season 2010, winter season 2011, summer season 2011 and winter season 2012). Several of these hybrids were analyzed during the first seasons and were not evaluated in later seasons or vice versa. Therefore, the dataset used in this study simulated the dynamics of a genetic breeding program with removal and inclusion of genotypes over the years. A biplot of the factor scores and loadings showed that the environments were more similar within seasons than between seasons, thereby suggesting that a given site may behave differently year after year. The season was more effective in discovery megaenvironments. The FA models may be directly interpreted as GGE biplot analysis since the first factor score had a perfect fit (r 2 ¼ 0:99) with the empirical best linear unbiased predictors of the genotypes. Given the assumption of normality for the factor scores, confidence ellipses could be created to directly compare the genotypes in the biplot. Stability and adaptability could be analyzed in unbalanced experiments with the removal and inclusion of genotypes over time. This approach allowed certain trends in a breeding program to be measured by directly comparing hybrids developed for the first or winter season. The biplot interpretation was direct and intuitive, and it has the same properties as the GGE biplot obtained by singular value decomposition.