Influence of the main cereal and feed form of the rearing phase diets on performance, digestive tract, and body traits of brown-egg laying pullets from hatch to 17 weeks of age

We hypothesize that pullets could respond similarly, independent of feed form, to the feeding of diets based on corn or wheat supplemented with adequate NSP enzymes. Also, pullets would quickly adapt their gastrointestinal tract and modify productive performance accordingly, when switched from crumbles to mash feeds. The aim of this research was to evaluate the effects of feeding crumbles for different periods of time, followed by feeding mash to 17 wk of age, on performance, gastrointestinal tract development, and body measurements of brown-egg laying pullets fed diets based on corn or wheat.

The production of recombinant proteins in transgenic barley grains

The grain of the self-pollinating diploid barley species offers two modes of producing recombinant enzymes or other proteins. One uses the promoters of genes with aleurone-specific expression during germination and the signal peptide code for export of the protein into the endosperm. The other uses promoters of the structural genes for storage proteins deposited in the developing endosperm. Production of a protein-engineered thermotolerant (1, 3–1, 4)-β-glucanase with the D hordein gene (Hor3–1) promoter during endosperm development was analyzed in transgenic plants with four different constructs. High expression of the enzyme and its activity in the endosperm of the mature grain required codon optimization to a C+G content of 63% and synthesis as a precursor with a signal peptide for transport through the endoplasmic reticulum and targeting into the storage vacuoles. Synthesis of the recombinant enzyme in the aleurone of germinating transgenic grain with an α-amylase promoter and the code for the export signal peptide yielded ≈1 μg⋅mg−1 soluble protein, whereas 54 μg⋅mg−1 soluble protein was produced on average in the maturing grain of 10 transgenic lines with the vector containing the gene for the (1, 3–1, 4)-β-glucanase under the control of the Hor3–1 promoter.

A Single Limit Dextrinase Gene Is Expressed Both in the Developing Endosperm and in Germinated Grains of Barley1

The single gene encoding limit dextrinase (pullulan 6-glucanohydrolase; EC 3.2.1.41) in barley (Hordeum vulgare) has 26 introns that range in size from 93 to 822 base pairs. The mature polypeptide encoded by the gene has 884 amino acid residues and a calculated molecular mass of 97,417 D. Limit dextrinase mRNA is abundant in gibberellic acid-treated aleurone layers and in germinated grain. Gibberellic acid response elements were found in the promoter region of the gene. These observations suggest that the enzyme participates in starch hydrolysis during endosperm mobilization in germinated grain. The mRNA encoding the enzyme is present at lower levels in the developing endosperm of immature grain, a location consistent with a role for limit dextrinase in starch synthesis. Enzyme activity was also detected in developing grain. The limit dextrinase has a presequence typical of transit peptides that target nascent polypeptides to amyloplasts, but this would not be expected to direct secretion of the mature enzyme from aleurone cells in germinated grain. It remains to be discovered how the enzyme is released from the aleurone and whether another enzyme, possibly of the isoamylase group, might be equally important for starch hydrolysis in germinated grain.

Constraints on nebular dynamics and chemistry based on observations of annealed magnesium silicate grains in comets and in disks surrounding Herbig Ae/Be stars

Understanding dynamic conditions in the Solar Nebula is the key to prediction of the material to be found in comets. We suggest that a dynamic, large-scale circulation pattern brings processed dust and gas from the inner nebula back out into the region of cometesimal formation—extending possibly hundreds of astronomical units (AU) from the sun—and that the composition of comets is determined by a chemical reaction network closely coupled to the dynamic transport of dust and gas in the system. This scenario is supported by laboratory studies of Mg silicates and the astronomical data for comets and for protoplanetary disks associated with young stars, which demonstrate that annealing of nebular silicates must occur in conjunction with a large-scale circulation. Mass recycling of dust should have a significant effect on the chemical kinetics of the outer nebula by introducing reduced, gas-phase species produced in the higher temperature and pressure environment of the inner nebula, along with freshly processed grains with “clean” catalytic surfaces to the region of cometesimal formation. Because comets probably form throughout the lifetime of the Solar Nebula and processed (crystalline) grains are not immediately available for incorporation into the first generation of comets, an increasing fraction of dust incorporated into a growing comet should be crystalline olivine and this fraction can serve as a crude chronometer of the relative ages of comets. The formation and evolution of key organic and biogenic molecules in comets are potentially of great consequence to astrobiology.

Relationships of cereal crops and other grasses

The grass family includes some 10,000 species, and it encompasses tremendous morphological, physiological, ecological, and genetic diversity. The phylogeny of the family is becoming increasingly well understood. There were two major radiations of grasses, an early diversification leading to the subfamilies Pooideae, Bambusoideae, and Oryzoideae, and a later one leading to Panicoideae, Chloridoideae, Centothecoideae, and Arundinoideae. The phylogeny can be used to determine the direction of changes in genome arrangement and genome size.

Ecological intensification of cereal production systems: Yield potential, soil quality, and precision agriculture

Wheat (Triticum aestivum L.), rice (Oryza sativa L.), and maize (Zea mays L.) provide about two-thirds of all energy in human diets, and four major cropping systems in which these cereals are grown represent the foundation of human food supply. Yield per unit time and land has increased markedly during the past 30 years in these systems, a result of intensified crop management involving improved germplasm, greater inputs of fertilizer, production of two or more crops per year on the same piece of land, and irrigation. Meeting future food demand while minimizing expansion of cultivated area primarily will depend on continued intensification of these same four systems. The manner in which further intensification is achieved, however, will differ markedly from the past because the exploitable gap between average farm yields and genetic yield potential is closing. At present, the rate of increase in yield potential is much less than the expected increase in demand. Hence, average farm yields must reach 70–80% of the yield potential ceiling within 30 years in each of these major cereal systems. Achieving consistent production at these high levels without causing environmental damage requires improvements in soil quality and precise management of all production factors in time and space. The scope of the scientific challenge related to these objectives is discussed. It is concluded that major scientific breakthroughs must occur in basic plant physiology, ecophysiology, agroecology, and soil science to achieve the ecological intensification that is needed to meet the expected increase in food demand.

Características de grãos e amido de diferentes cultivares de quinoa (Chenopodium quinoa Willd.)

Os grãos de quinoa possuem excelente balanço nutricional além das propriedades funcionais, comparativamente superior à dos cereais. A quinoa é cultivada em diversos países e, devido às suas características, têm aumentado o interesse de pesquisadores e consumidores. A quinoa contém pericarpo branco, no entanto, existem grãos com pericarpo vermelho e preto, e todos os tipos são utilizados como alimento em diferentes preparações. Com o objetivo de avaliar as características de grãos de quinoa, amostras de cor branca, preta e vermelha foram analisadas quanto às propriedades físico-químicas e funcionais dos grãos e do amido extraído das diferentes amostras. O amido, extraído pelo método alcalino, foi submetido as análises de teor de amilose, difração de raios X, microscopia eletrônica de varredura (MEV), propriedades térmicas (por DSC-Differential Scanning Calorimeter) e propriedades de pasta (por RVA- Rapid Visco Analyser), além de suscetibilidade à hidrólise enzimática e cor. A composição físico-química dos grãos de quinoa apresentou como principais diferenças o teor de cinzas, fibras e amido. O teor de amilose variou de 13,6% a 21,3%, entre as amostras de amido; os padrões de cristalinidade dos amidos foram de tipo A, típico dos cereais; e, a cristalinidade relativa variou de 25,4 a 29,6 %; as micrografias obtidas por MEV apresentaram as formas poliédricas dos grânulos de amido. Os viscoamilogramas, obtidos para os diferentes amidos, mostraram um comportamento semelhante entre as amostras brancas e pretas. As propriedades térmicas de retrogradação das amostras de quinoa vermelha apresentaram uma menor taxa de retrogradação que variou de 7,5 a 8,5 %; as cultivares brancas apresentaram as maiores taxas de retrogradação de 19,0 a 25,4 %. A hidrólise enzimática dos grânulos de amido, analisada em equivalentes de maltose, variou de 7,2 a 8,7 mg/mL, com uma velocidade maior para a cultivar BSyB, em 60 minutos. O amido extraído das amostras brancas de quinoa apresentou valor de luminosidade de 99,0 e os amidos extraídos das amostras de cor vermelha e preta apresentaram em torno de 97,0. As análises realizadas neste estudo ampliam o conhecimento das características da quinoa de cor branca, vermelha e preta, além de mostrar que a cultivar brasileira (BSyB) apresenta características diferenciadas em vários parâmetros. Devido as suas propriedades todas as amostras analisadas possuem potencial para futuras aplicações tecnológicas.

Enrichment of the Phenotypic and Genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs

Currently there are an overwhelming number of scientific publications in Life Sciences, especially in Genetics and Biotechnology. This huge amount of information is structured in corporate Data Warehouses (DW) or in Biological Databases (e.g. UniProt, RCSB Protein Data Bank, CEREALAB or GenBank), whose main drawback is its cost of updating that makes it obsolete easily. However, these Databases are the main tool for enterprises when they want to update their internal information, for example when a plant breeder enterprise needs to enrich its genetic information (internal structured Database) with recently discovered genes related to specific phenotypic traits (external unstructured data) in order to choose the desired parentals for breeding programs. In this paper, we propose to complement the internal information with external data from the Web using Question Answering (QA) techniques. We go a step further by providing a complete framework for integrating unstructured and structured information by combining traditional Databases and DW architectures with QA systems. The great advantage of our framework is that decision makers can compare instantaneously internal data with external data from competitors, thereby allowing taking quick strategic decisions based on richer data.