Sample size for full-sib family evaluation in sugarcane

The objective of this study was to determine the minimum number of plants per plot that must be sampled in experiments with sugarcane (Saccharum officinarum) full-sib families in order to provide an effective estimation of genetic and phenotypic parameters of yield-related traits. The data were collected in a randomized complete block design with 18 sugarcane full-sib families and 6 replicates, with 20 plants per plot. The sample size was determined using resampling techniques with replacement, followed by an estimation of genetic and phenotypic parameters. Sample-size estimates varied according to the evaluated parameter and trait. The resampling method permits an efficient comparison of the sample-size effects on the estimation of genetic and phenotypic parameters. A sample of 16 plants per plot, or 96 individuals per family, was sufficient to obtain good estimates for all traits considered of all the characters evaluated. However, for Brix, if sample separation by trait were possible, ten plants per plot would give an efficient estimate for most of the characters evaluated.O objetivo deste estudo foi determinar o número mínimo de plantas por parcela a ser amostrado em experimentos de famílias de irmãos completos, em cana-de-açúcar (Saccharum officinarum), para possibilitar a estimação eficiente de parâmetros genéticos e fenotípicos para características de produção. Os dados foram coletados em delineamento de blocos ao acaso, composto por 18 famílias de irmãos completos, com 6 repetições e 20 plantas por parcela. O tamanho da amostra foi determinado com o uso de técnicas de reamostragem com reposição, com posterior estimação dos parâmetros genéticos e fenotípicos. As estimativas do tamanho da amostra variaram de acordo com a variável e o parâmetro avaliados. O método da reamostragem permite uma comparação eficiente dos efeitos do tamanho da amostra na estimação de parâmetros genéticos e fenotípicos. Uma amostra de 16 plantas por parcela, ou seja, 96 indivíduos, por família, foi suficiente para obter estimativas fidedignas de todos os parâmetros avaliados em todas as variáveis consideradas. Porém, para a variável Brix, se fosse possível desmembrar a amostragem por característica, uma amostra de dez plantas por parcela já possibilitaria a estimação precisa da maioria dos parâmetros genéticos e fenotípicos avaliados

Global Carbon Budget 2018

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008–2017), EFF was 9.4±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.7±0.02 GtC yr−1, SOCEAN 2.4±0.5 GtC yr−1, and SLAND 3.2±0.8 GtC yr−1, with a budget imbalance BIM of 0.5 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yr−1. Also for 2017, ELUC was 1.4±0.7 GtC yr−1, GATM was 4.6±0.2 GtC yr−1, SOCEAN was 2.5±0.5 GtC yr−1, and SLAND was 3.8±0.8 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018

Avaliação agroindustrial e parâmetros genético de progênies de cana-de-açúcar em fase inicial na zona canavieira do Litoral Norte de Pernambuco Agroindustrial evaluation and genetic parameters of sugarcane progenies at the initial phase in a sugarcane plantation zone of north coast of Pernambuco

Neste trabalho, objetivou-se avaliar o desempenho agronômico, industrial e a magnitude dos parâmetros genético de progênies de cana-de-açúcar na zona canavieira do Litoral Norte de Pernambuco. Os experimentos foram desenvolvidos durante o ano agrícola 2006/2007 no Litoral Norte de Pernambuco, no município de Igarassu, dentro de área da Usina São José. O delineamento experimental foi de blocos casualizados, com cinco repetições, utilizando-se como tratamentos 24 genótipos (20 provenientes dos cruzamentos e quatro variedades padrões). A parcela constou de três sulcos de 6 m, espaçados de 1,30 m, com 10 plântulas por sulco, (espaçados de 0,6 m dentro do sulco, totalizando 30 plântulas por parcela), perfazendo uma área total de 23,4 m². O corte foi realizado no décimo mês após o transplantio, onde foram avaliadas as seguintes variáveis: tonelada de cana por hectare (TCH), tonelada de pol por hectare (TPH), Fibra (FB), pol % corrigida (PCC), pureza (PZA), Brix (BX) e açúcar total recuperável (ATR). As progênies dos cruzamentos: RB855035 X RB 72454; RB 865230 X RB855035; Tuc71-7 X RB72454 e RB72454 X Tuc71-7, destacaram-se para as variáveis TPH, FB, PZA e BX. Há variabilidade genética entre as progênies dos cruzamentos para todas as variáveis avaliadas. As estimativas de h²m foram expressivas para as variáveis TPH, TCH, PCC, FB, BX e ATR, indicando a possibilidade de êxito na seleção dessas variáveis dentro da região canavieira do Litoral Norte de Pernambuco.<br>The objective of our research was to evaluate the agronomical, industrial performance and the magnitude of the genetic parameters of initial phase sugarcane progenies in the north coast of Pernambuco. Experimental works were developed during the agricultural year of 2006/2007 in the sugarcane plantation zone in the north coast of Pernambuco, in the district of Igarassu, in the area of the São José industrial plant. The experimental delineation was randomized blocks with five repetitions, using 24 genotypes as treatment (20 from the crossings and 4 standard varieties). The parcel was planted in three furrows of 6 m, spaced by 1.30 m with 10 seedlings per furrow (spaced by 0.6 m within the furrow), totalizing a total area of 23.4 m². Harvest was done in the 10th month after the transplantation, where were evaluated the following variables: pol tons per hectare (PTH), sugarcane tons per hectare (STH), fiber (FB), corrected pol % (CPP), purity (PTY), brix (BX) and total retrievable sugar (TRS). The progenies of the crossings: RB855035 X RB72454; RB865230 X RB855035; Tuc71-7 X RB 72454 and RB 72454X Tuc71-7, overtopped for most of the studied variables. There is genetical variability among the progenies of the crossings for all the evaluated variables. The h²m estimations were expressive for the variables STH, PTH, CPP, FB, BX and TRS, indicating the possibility of success in the selection of these variables within the sugarcane plantation region of North Coast of Pernambuco

Effect of Omega 3 and Vitamin B12 on the spermogram, histomorphometry of the reproductive organs and body temperatures with infrared thermography in Wistar rats

ABSTRACT The objective of this study was to study the effect of Omega 3 and vitamin B12 on spermogram, histomorphometry of reproductive organs and body temperature with infrared thermography in Wistar rats. Sixteen rats were used in four groups (n= 4) who received daily injections for 30 days. Control Group - saline solution; Group Omega 3 - fish oil 1g/kg; Group B12 - vitamin B12 3μg and Group Omega 3 + B12 - fish oil 1g/kg and vitamin B12 3μg. Thermographic images of body were obtained. On the 30th day the rats were sacrificed and analyzes of sperm morphology and histomorphometry were performed. Data were submitted to analysis of variance and Tukey's test at 5%. The surface temperature of the scrotum was higher in group B12 (P 0.05) for eyeball temperatures. There was a correlation between scrotal temperature and distal cytoplasmic droplet (P= 0.678). Elevation of scrotum temperature results in an increase in the percentage of distal cytoplasmic droplets. The temperature of the eyeball is not significantly influenced by Omega 3 and vitamin B12. Omega 3 reduces the seminiferous epithelium and vitamin B12 minimizes this effect.</p