Growth and development of maize: accumulation of grain dry matter

 O objetivo deste trabalho foi estudar o efeito de diferentes épocas de plantio na taxa e na duração do período de enchimento dos grãos, e de que modo esses fatores determinam o peso final dos grãos de híbridos do milho (Zea mays L.). Três experimentos foram instalados no campo, nos anos de 1994-1995 a 1996-1997, com os híbridos comerciais C-901, XL-560 e XL-678, em 1994/95, e os híbridos C-901, XL-212 e XL-370, nos outros anos. Os tratamentos consistiram em diferentes datas de plantio de setembro a dezembro, em 1994/95, e de agosto a dezembro, em 1995/96 e 1996/97. A taxa efetiva do enchimento dos grãos foi diretamente dependente da temperatura média do ar, tendo sido maior nos plantios mais precoces, e resultando em grãos mais pesados do que os obtidos em plantios mais tardios. Nos plantios mais tardios, a menor temperatura do ar durante o período efetivo do enchimento dos grãos propiciou menor taxa de enchimento dos grãos, tornando-os mais leves. Conclui-se que o principal fator limitante do rendimento de grãos nesses plantios é a fonte produtora de fotoassimilados, e não a capacidade dos grãos em acumulá-los.The objective of this work was to study the effect of different sowing dates on the rate and duration of the grain filling and how such factors determine the final grain weight of a number of maize (Zea mays L.) hybrids. Three experiments were carried out under field conditions in the years 1994/95 to 1996/97, using the commercial hybrids C-901, XL-560, and XL-678 in 1994/95 and the hybrids C-901, XL-212, and XL-370 in the remaining years. The treatments consisted of sowing dates from September to December, in 1994/95, and from August to December, in 1995/96 and 1996/97. The effective grain filling rate depended directly on the mean air temperature and it was higher in earlier plantings, resulting in heavier grains, as compared to the grains obtained in the later sowings. In the later sowing dates a lower air temperature during the effective grain filling period favors a lower grain filling rate, resulting in lighter grains. In such sowing dates it is concluded that the main factor limiting yield seems to be the source of assimilate supply instead of the grain accumulation capacity

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Reação de híbridos de milho à podridão dos grãos causada por Stenocarpella macrospora e Stenocarpella maydis, em diferentes ambientes do Brasil

This work evaluated the reaction of 140 corn hybrids from double-haploid inbred derived from a crossing of a resistant inbred line with and susceptible inbred line. Being that, crossed with a conventional susceptible line which were inoculated with Stenocarpella maydis and Stenocarpella macrospora .The hybrids were assessed in three locations in the Miner Triangle and three locations in Southern Brazil to evaluate the difference of hybrids reaction to S. macrospora and S. maydis. Two analysis were performed, one of the three locations in the Miner Triangle and one of the three locations in the South for the separation of five resistant hybrids, five average resistance and five susceptible to rot grain for the two locations. About the incidence of rot grain obtained from the hybrids, the quantification of S. macrospora, S.maydis and other fungi were done in the laboratory for the Miner Triangle and South of Brazil. In a joint analysis in the Miner Triangle it was found a frequency of 60% S. macrospora, 10% S.maydis and 30% other fungi. And in a joint analysis of South Brazil found 20% S. macrospora, 11% S.maydis and 69% of other fungi. The pathogen hybrid interaction showed the prevalence of S. macrospora in incidence of infected grains, with 60% in the Miner Triangle and 20% in the South, against S. maydis with 10% in the Miner Triangle and 11% in south of Brazil. These results showed that there were differences between the two places regarding the rotten grain caused by S. macrospora and S. maydis. Thus, positioning breeding programs in the pathosystem Stenocarpella-corn.Doutor em Genética e BioquímicaNeste trabalho, avaliou-se a reação de 140 híbridos de milho provenientes de uma linhagem duplo-haplóide derivada do cruzamento, entre uma linhagem resistente e uma linhagem suscetível, cruzada com uma linhagem convencional suscetível. Os híbridos quais foram inoculados com Stenocarpella maydis (Berkeley) Sacc e Stenocarpella macrospora (Earle) sendo avaliados em três locais no Triângulo Mineiro e Três locais no Sul do Brasil. O objetivo foi identificar genótipos resistentes à S. macrospora e S. maydis e a sua quantificação nas duas regiões. Efetuou-se duas análises conjuntas, uma com os três locais do Triângulo Mineiro e outra com três locais do Sul verificar a reação dos híbridos quanto a resistência à grãos ardidos. Na incidência de grãos ardidos obtidos dos híbridos, realizou-se a quantificação de S. macrospora, S. maydis e outros fungos, para o Triângulo Mineiro e Sul. Na análise conjunta do Triângulo Mineiro ocorreu uma freqüência de 60% de S. macrospora, 10% de S. maydis e 30% de outros fungos. A análise conjunta dos dados do Sul obteve-se 20% de S.macrospora, 11% de S.maydis e 69% de outros fungos. A interação híbrido patógeno mostrou a prevalência da S. macrospora na incidência dos grãos infectados, com 60% no Triângulo Mineiro e de 20% no Sul e S. maydis com 10% no Triângulo Mineiro e 11% no Sul do Brasil. Esses resultados mostram que existem diferenças entre os dois locais, quanto à reação à podridão de grãos de milho causado por S. macrospora e S. maydis. Com isso pode-se direcionar os programas de melhoramento no patossistema Stenocarpella-milho

Danos causados por Nezara viridula (L.) em feijoeiro (Phaseolus vulgaris L.)

Em São Sepé, RS, foi realizado um estudo para determinar os danos causados por adultos de Nezara viridula (L.) sobre feijoeiro, variedade "mourinho", com infestação em gaiolas. Os níveis de infestação foram de 0, 2, 4, 6, 8 e 12 adultos, sem determinação do sexo, por gaiola, contendo três plantas. Considerou-se, ainda, um nível de infestação natural, fora da gaiola. Conclui-se que, à medida que aumenta a densidade de infestação, ocorre um incremento no número de legumes vazios e uma redução do número de grãos e do rendimento. A redução do poder germinativo das sementes colhidas e a incidência da "mancha fermento ou de levedura", Nematospora corylii Peglion, são proporcionais ao aumento da densidade de infestação. Abstract A study was made to determine the damage of the southern green stink bug, Nezara viridula, on bean, variety "mourinho", at São Sepé, RS, Brazil, in cages. The infestation levels were 0, 2, 4, 6, 8 and 12 no sexed adults/cage and one natural level of infestation, uncaged. The increase of the infestation level produced more empty pods and reduced the seed numbers and the yield. The attack of this pentatomid reduced the germination rate of the harvested seeds and increased the incidente of the "yeast spot disease", Nematospora corylii Peglion, with the increase of the infestation level

Efeito da radiação solar e temperatura na definição do número de grãos em milho

The objective of this experiment was to study the effect of solar radiation and temperature regime between emergence and silking on the crop development rate and the number of grain per growing rate unit of the crop, and the relationships of such parameters with the grain yield of corn hybrids. The experiments were carried out in the years 1994/95 to 1996/97, using the commercial hybrids C-901, XL-560, and XL-678 in 1994/95 and the hybrids C-901, XL-212, and XL-370 in the remaining years. The treatments consisted of sowing dates from September to December, in 1994/95, and from August to December, in 1995/96 and 1996/97. High dry matter accumulation was observed when there was high incidence of solar radiation during the period between emergence and flowering. However, as the mean air temperature exerts effect on the duration of that period, the growth rate during such period was more associated to temperature than to solar radiation. The effect of the temperature was inversely proportional to the number of grains per unit of growing rate in this period, possibly due to the longer time for solar radiation interception. As a result of the association between temperature and radiation, the photothermal coefficient was positively associated with the grain yield.O objetivo deste trabalho foi estudar o efeito da radiação solar e da temperatura entre a emergência e o pendoamento na taxa de crescimento da cultura, no número de grãos por unidade de taxa de crescimento, e nas relações dessas variáveis com o rendimento final de grãos de híbridos de milho. Os ensaios foram conduzidos nos anos agrícolas de 1994/95, 1995/96 e 1996/97 com os híbridos comerciais C-901, XL-560 e XL-678, em 1994/95, e os híbridos C-901, XL-212 e XL-370, nos outros anos. Os tratamentos consistiram em diferentes datas de plantio de setembro a dezembro, em 1994/95, e de agosto a dezembro, em 1995/96 e 1996/97. No período entre emergência e espigamento, as plantas acumularam maior quantidade de massa seca quando a radiação solar incidente foi mais elevada. No entanto, como a temperatura média do ar exerce efeito na duração do período, a taxa de crescimento foi mais dependente da temperatura do que da radiação. Também neste período, o efeito da temperatura foi inversamente proporcional ao do número de grãos por unidade de taxa de crescimento, possivelmente por causa do maior tempo disponível para interceptar a radiação solar. Decorrente da associação entre temperatura e radiação, o coeficiente fototérmico foi positivamente associado ao rendimento de grãos