Análise de custo de produção e lucratividade de bananeira 'Nanicão Jangada' sob duas densidades de cultivo em Ilha Solteira-SP

Em fruticultura, existe hoje uma grande tendência de aumento da densidade de cultivo, procurando com isso uma maior produção por área. Pretendeu-se, neste trabalho, desenvolvido em Ilha Solteira-SP, estimar e analisar comparativamente o custo de produção e a lucratividade de bananeira-'Nanicão Jangada', sob duas densidades de cultivo: 1666 plantas (3,0mx2,0m) e 2500 plantas (2,0mx2,0m). Para o cálculo do custo, utilizou-se a estrutura do custo total de produção (CTP). Considerando os dois ciclos produtivos do bananal, o espaçamento de plantio mais adensado (com maior número de plantas por área) apresentou resultados econômicos mais satisfatórios que os obtidos para o cultivo menos adensado. A cultivar 'Nanicão Jangada' é uma alternativa de cultivo viável para a região de Ilha Solteira-SP.In fruit growing, there is a large tendency to increase the plant density, attempting to increase productivity per area. The objetive of this study, elaborated in Ilha Solteira-SP, was to value and to analyse comparatively the production cost and the profitbility of the banana type 'Nanicão Jangada' using two growing densities: 1666 plants (3.0mx2.0m) and 2500 plants (2.0mx2.0m). For the cost calculation, the method of total producion cost (TPC) was used. Taking into consideration the two productive cycles of the banana, the higher density (with the larger number of plants per area) presented better economical results than obtained with lower density. The growing of the 'Nanicão Jangada' is a viable cultivation alternative for the region of Ilha Solteira-SP

Educação, concentração fundiária e desigualdade de rendimentos no meio rural brasileiro

O artigo estuda os efeitos dos fatores determinantes da renda rural, particularmente do capital humano e do capital físico. Além de equações de rendimentos ajustadas para o setor primário, foram analisadas regressões de renda para a população ocupada na indústria e no setor de serviços. Os resultados obtidos revelam que, embora o capital físico seja o principal determinante da concentração da renda agrícola, é a educação o fator que explica a maior parcela da desigualdade de rendimentos nas atividades não-agrícolas e no meio rural como um todo.<br>The paper analyses the effects of rural income determinants, in particular of human capital and physical capital. Besides the earnings equation estimated for persons occupied in agriculture, the paper also analyzes earnings regressions for persons occupied in the industry and service sectors. The results show that physical capital is the main determinant of earnings in Brazilian agriculture, but schooling is the most important determinant of earnings for persons occupied in rural non-farm activities and for all persons living in rural areas

Identification of human chromosome 22 transcribed sequences with ORF expressed sequence tags

Transcribed sequences in the human genome can be identified with confidence only by alignment with sequences derived from cDNAs synthesized from naturally occurring mRNAs. We constructed a set of 250,000 cDNAs that represent partial expressed gene sequences and that are biased toward the central coding regions of the resulting transcripts. They are termed ORF expressed sequence tags (ORESTES). The 250,000 ORESTEs were assembled into 81,429 contigs. of these, 1,181 (1.45%) were found to match sequences in chromosome 22 with at least one ORESTES contig for 162 (65.6%) of the 247 known genes, for 67 (44.6%) of the 150 related genes, and for 45 of the 148 (30.4%) EST-predicted genes on this chromosome. Using a set of stringent criteria to validate our sequences, we identified a further 219 previously unannotated transcribed sequences on chromosome 22. of these, 171 were in fact also defined by EST or full length cDNA sequences available in GenBank but not utilized in the initial annotation of the first human chromosome sequence. Thus despite representing less than 15% of all expressed human sequences in the public databases at the time of the present analysis, ORESTEs sequences defined 48 transcribed sequences on chromosome 22 not defined by other sequences. All of the transcribed sequences defined by ORESTEs coincided with DNA regions predicted as encoding exons by GENSCAN

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data