Tamanho de amostra para avaliação de caracteres de cenoura em sistemas de cultivo agroecológico.

O correto dimensionamento de experimentos deve ser utilizado para que se possa reduzir o erro experimental e com isso, maximizar a precisão das informações obtidas. O objetivo deste trabalho foi estimar o número mínimo de famílias e de plantas por parcela para avaliação de caracteres de raiz em uma população de cenoura cultivada em sistema agroecológico. Os ensaios foram conduzidos no verão de 2006/2007 em duas propriedades com cultivo agroecológico em Brasília: Associação Mokiti Okada, que segue modelo de Agricultura Natural em Brazlândia-DF e Núcleo Rural Taguatinga, seguindo modelo de Agricultura Orgânica em Taguatinga-DF. Foram avaliadas 100 famílias de meio-irmãos de cenoura dispostas em delineamento de blocos casualizados com duas repetições e parcelas de 1 m2. Foram colhidas 20 plantas competitivas por parcela e avaliadas individualmente para os caracteres comprimento de raiz, diâmetro da raiz, massa da raiz, diâmetro do xilema da raiz, relação diâmetro do xilema/diâmetro da raiz, tipo de ponta da raiz, tipo de ombro da raiz, parâmetro a* para os tecidos xilema e floema. Foi realizada análise de variância conjunta e para cada sistema, com informação entre e dentro de parcelas. Foram realizadas ainda análises de representatividade do número mínimo de famílias e de plantas para representar uma população de cenoura. Foi verificado que uma amostra de 18 plantas competitivas/parcela coletadas em ensaios com 2 repetições, bem como de 74 famílias, são suficientes para garantir uma adequada avaliação de famílias meio-irmãos de cenoura para os caracteres estudados

A meta-analysis of long-term effects of conservation agriculture on maize grain yield under rain-fed conditions

Conservation agriculture involves reduced tillage, permanent soil cover and crop rotations to enhance soil fertility and to supply food from a dwindling land resource. Recently, conservation agriculture has been promoted in Southern Africa, mainly for maize-based farming systems. However, maize yields under rain-fed conditions are often variable. There is therefore a need to identify factors that influence crop yield under conservation agriculture and rain-fed conditions. Here, we studied maize grain yield data from experiments lasting 5 years and more under rain-fed conditions. We assessed the effect of long-term tillage and residue retention on maize grain yield under contrasting soil textures, nitrogen input and climate. Yield variability was measured by stability analysis. Our results show an increase in maize yield over time with conservation agriculture practices that include rotation and high input use in low rainfall areas. But we observed no difference in system stability under those conditions. We observed a strong relationship between maize grain yield and annual rainfall. Our meta-analysis gave the following findings: (1) 92% of the data show that mulch cover in high rainfall areas leads to lower yields due to waterlogging; (2) 85% of data show that soil texture is important in the temporal development of conservation agriculture effects, improved yields are likely on well-drained soils; (3) 73% of the data show that conservation agriculture practices require high inputs especially N for improved yield; (4) 63% of data show that increased yields are obtained with rotation but calculations often do not include the variations in rainfall within and between seasons; (5) 56% of the data show that reduced tillage with no mulch cover leads to lower yields in semi-arid areas; and (6) when adequate fertiliser is available, rainfall is the most important determinant of yield in southern Africa. It is clear from our results that conservation agriculture needs to be targeted and adapted to specific biophysical conditions for improved impact

Bias in the prediction of genetic gain due to mass and half-sib selection in random mating populations

The prediction of gains from selection allows the comparison of breeding methods and selection strategies, although these estimates may be biased. The objective of this study was to investigate the extent of such bias in predicting genetic gain. For this, we simulated 10 cycles of a hypothetical breeding program that involved seven traits, three population classes, three experimental conditions and two breeding methods (mass and half-sib selection). Each combination of trait, population, heritability, method and cycle was repeated 10 times. The predicted gains were biased, even when the genetic parameters were estimated without error. Gain from selection in both genders is twice the gain from selection in a single gender only in the absence of dominance. The use of genotypic variance or broad sense heritability in the predictions represented an additional source of bias. Predictions based on additive variance and narrow sense heritability were equivalent, as were predictions based on genotypic variance and broad sense heritability. The predictions based on mass and family selection were suitable for comparing selection strategies, whereas those based on selection within progenies showed the largest bias and lower association with the realized gain

Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years

The purpose of this study was to analyze the effect of genotype-environment interaction (GE) on common bean cultivars with carioca grain (cream-colored beans with light brown stripes), recommended for cultivation by different Brazilian research institutions in the last 40 years. The experiments were carried out with 40 cultivars in four different environments (Coimbra and Viçosa, in the dry and winter seasons of 2013) using a randomized block design with three replications. The results showed an effective increase in grain yield resulting from the use of new cultivars from different Brazilian breeding programs in the past four decades. In addition, the analysis of the GE interaction indicated that the cultivars recommended after 2005 combined high mean grain yield, wide adaptability and high or stability

Myc proteins in brain tumor development and maintenance

Myc proteins are often deregulated in human brain tumors, especially in embryonal tumors that affect children. Many observations have shown how alterations of these pleiotropic Myc transcription factors provide initiation, maintenance, or progression of tumors. This review will focus on the role of Myc family members (particularly c-myc and Mycn) in tumors like medulloblastoma and glioma and will further discuss how to target stabilization of these proteins for future brain tumor therapies