Estudio de las propiedades mecánicas del cacahuete {Arachis hypogaea) que influyen en la adaptación de las variedades a la recolección mecanizada

Uno de los problemas que hoy se plantean es el de aumentar la rentabilidad de los cultivos, a base de la mecanización de todas las labores, especialmente de aquellas que exigen gran cantidad de mano de obra. Este es el caso de la recolección del cacahuete: su cultivo no es rentable como no se realice de forma mecanizada, por lo que está en regresión incluso en las pequeñas superficies dedicadas a él en España. Este estudio sobre las propiedades mecánicas del cacahuete intenta avanzar en el conocimiento de la adaptación a la mecanización de las variedades que han resultado interesantes en los ensayos llevados a cabo en los últimos años.

Observations sur l'Epigæa repens L., et description d'un genre nouveau [Goudenia.

Mémoires de la Classe des sciences mathématiques et physiques de l'Institut de France, 1798-99, ii, 312-325.

Beitrage zur Biologie von Arachis hypogaea.

Thesis (doctoral)--Konigl. Universitat Breslau.

Aflatoxins and their relationship with sugars in peanut (Arachis hypogaea L.)

Aspergillus spp. produce aflatoxins in peanut, which poses a health risk to humans and animals, as well as affecting the marketability of peanuts. The current research found that more aflatoxin is produced under rain fed (RF) compared to irrigated (IRR) conditions, and was more predominant in juvenile (R3-5 stage) compared to older (R6-8 stage) pods. No aflatoxin was recorded in marketable pods of the Streeton cultivar in either of the growing conditions, whereas the cultivar NC-7 produced aflatoxin under RF conditions only. Sugars such as glucose, fructose and sucrose were positively correlated with total aflatoxins. It appears that Aspergillus utilises these simple carbohydrates as substrates in biosynthesis of aflatoxins.

Evaluation of processed groundnut (Arachis hypogaea) cake meals in the feeding of Clariid catfish, Clarias gariepinus, fingerlings

Groundnut cake (GNC) meal is an important source of dietary protein for domestic animals with a cost advantage over the conventional animal protein sources used in aquaculture feed production. It would be useful to evaluate the effects of GNC processing methods on the density and nutritional values of processed GNC meals. The use of processed GNC meals in the diets of Clarias gariepinus fingerlings was evaluated. Seven iso-proteic and iso-caloric diets were formulated, replacing fish meal with roasted and boiled GNC meals, each at three inclusion levels of 30%, 35%, and 40%. Diet I is 100% fishmeal, Diet II is 30% roasted GNC meal, Diet III is 35% roasted GNC meal, Diet IV is 40% roasted GNC meal, Diet V is 30% boiled GNC meal, Diet VI is 35% boiled GNC meal and Diet VII is 40% boiled GNC meal. Results showed that the crude protein content of GNC meals was 40.5% and 40.8% in boiled and roasted GNC meals respectively; the lower protein content for processed GNC meals might be due to heat denaturation of the seed protein, with boiled GNC meal being more adversely affected. The mean weight gain of fingerlings fed roasted GNC meals ranged between 5.29 – 5.64 while for boiled GNC meals, it was between 4.60 – 5.22. Generally, fish performed better when fed diets containing roasted GNC meals, than boiled GNC meals, and compared favorably with fish fed fish meal based diet. Body mass increase, total feed increase, protein efficiency ratio and specific growth rate by C. gariepinus fingerlings in all diets, showed no significant differences, suggesting that processed GNC meals could partially replace diets for C. gariepinus fingerlings without adverse consequences. This study showed that processed GNC meals could partially replace fish meal up to 30% without significantly influencing fingerling growth and health. It is recommended that the use of fish meal as the main basal ingredient for fingerlings could be discontinued, since GNC meal was a cheaper alternative, and could replace fish meal up to 35%, without any significant adverse effects on the fingerling performance. KEYWORDS: Clarias gariepinus, Fingerlings, Groundnut cake meal, Nutrient utilization, Performance.

Ergosterol peroxide from Rhizoctonia repens: Composition, conformation, and origin

Ergosterol peroxide (ep), synthetic or from fungal extracts, is shown to be a mixture of isomers arising from α- and β-attack by O 2(1Δg) on ergosterol; the stereochemistry of the peroxide bridge is assigned.

Efeitos do extrato de Rhynchelytrum Repens em modelo murino de obesidade e hiperglicemia induzidas por dieta hiperlipídica

Dissertação (mestrado)—Universidade de Brasília, Programa de Pós-Graduação em Ciências da Saúde, 2015.

Superexpressão do gene dehidrina de Arachis duranensis em plantas transgênicas de Arabidopsis thaliana

Dissertação (mestrado)—Universidade de Brasília, Departamento de Botânica, Programa de Pós-Graduação em Botânica, 2016.

Forage peanut (Arachis spp.) genetic evaluation and selection.

Forage peanut improvement for use in grass?legume mixtures is expected to have a great impact on the sustainability of Brazilian livestock production. Eighteen cloned Arachis spp. ecotypes were evaluated under clipping in a Brazilian Cerrado region and results analysed using a mixed model methodology. The objective was to estimate genetic and phenotypic parameters and to select the best ecotypes based on selection index applied on their predicted genotypic value. The traits of total dry-matter (DM) and leaf DM yield presented moderate (0_30 < h2g < 0_50) to high (>0_50) broad-sense heritability, in contrast to the low genetic variability in nutritional quality-associated traits. Ecotypes of Arachis spp. contained average crude protein concentrations of 224 g kg _1 DM in leaves and 138 g kg _1 DM in stems, supporting the potential role of these species to overcome the low protein content in Cerrado pastures. The correlations between yield traits and traits associated with low nutritional value in leaves were consistently significant and positive. Genetic correlations among all the yield traits evaluated during the rainy or dry seasons were significant and positive. The ecotypes were ranked based on selection index. The next step is to validate long-term selection of grass?Arachis in combination with pastures under competition and adjusted grazing in the Cerrado region.

Dinâmica populacional de Tetranychus ogmophallos (Acari: Tetranychidae) em genótipos de amendoim forrageiro (Arachis spp.) no estado do Acre.

O amendoim forrageiro é uma leguminosa herbácea tropical e perene, que apresenta importância na produção de forragem em pastos consorciados com gramíneas sob sistemas pecuários intensivos. Dentre as pragas associadas ao amendoim forrageiro, o ácaro-carmim, Tetranychus ogmophallos Ferreira & Flechtmann, é uma das principais, causando injúrias pela contínua sucção de seiva. O objetivo deste trabalho foi determinar a dinâmica populacional de T. ogmophallos em dois acessos de amendoim forrageiro (Arachis pintoi e um híbrido de Arachis pintoi x Arachis appressipila) no estado do Acre. O levantamento foi realizado no período de março de 2014 a dezembro de 2015. Semanalmente, era lançado aleatoriamente, um quadrado de 100 x 100 cm, em três repetições por genótipo. Em cada lançamento eram coletadas, aleatoriamente, 20 folhas/genótipo, totalizando 60 folhas por amostragem/genótipo. Em laboratório os ácaros eram contabilizados sob microscópio estereoscópio. Os picos populacionais de T. ogmophallos foram verificados nos meses de outubro a novembro nos dois genótipos de amendoim forrageiro. Também foi observado que ataque de T. ogmophallos não causou mortalidade de plantas nos dois genótipos.

Arachis spp. com diferentes níveis de sintomas de virose no Acre, Brasil.

Em 1998, Peanut mottle virus - PeMoV foi relatado em A. pintoi na Região de Cerrado, no Brasil. Plantas anormais com clorose, mosaico e mosqueado foram observadas em amendoim forrageiro (Arachis spp.) cultivado no campo, no Acre. Para entender a causa dessa anormalidade realizou-se um trabalho epidemiológico com diagnóstico e avaliação da reação de plantas em campo.

Combined analysis of categorical and numerical descriptors of Australian groundnut accessions using nonlinear principal component analysis

For users of germplasm collections, the purpose of measuring characterization and evaluation descriptors, and subsequently using statistical methodology to summarize the data, is not only to interpret the relationships between the descriptors, but also to characterize the differences and similarities between accessions in relation to their phenotypic variability for each of the measured descriptors. The set of descriptors for the accessions of most germplasm collections consists of both numerical and categorical descriptors. This poses problems for a combined analysis of all descriptors because few statistical techniques deal with mixtures of measurement types. In this article, nonlinear principal component analysis was used to analyze the descriptors of the accessions in the Australian groundnut collection. It was demonstrated that the nonlinear variant of ordinary principal component analysis is an appropriate analytical tool because subspecies and botanical varieties could be identified on the basis of the analysis and characterized in terms of all descriptors. Moreover, outlying accessions could be easily spotted and their characteristics established. The statistical results and their interpretations provide users with a more efficient way to identify accessions of potential relevance for their plant improvement programs and encourage and improve the usefulness and utilization of germplasm collections.

Patterns of diversity in fatty acid composition in the Australian groundnut germplasm collection

Knowledge of the amounts and types of fatty acids in groundnut oil is beneficial, particularly from a nutritional standpoint. Germplasm evaluation data for fatty acid composition on 819 accessions of groundnut (Arachis hypogaea L.) from the Australian Tropical Field Crops Genetic Resource Centre, Biloela, Queensland were examined. Data for eight quantitative fatty acid descriptors have been documented. Statistical assessment, via methods of pattern analysis, summarised and described the patterns of variation in fatty acid composition of the groundnut accessions in the Australian germplasm collection. Presentation of the results from principal components analysis and hierarchical cluster analysis using a biplot was shown to be a very useful interpretative tool. Such a biplot enables a simultaneous examination of the relationships among all the accessions and the fatty acids. Unlike that information available via database searches, the results from contribution analysis together with the biplot provide a global picture of the diversity available for use in plant breeding programs. The use of standardised data for eight fatty acids, compared to using three specific fatty acids, provided a better description of the total diversity available because it remains relevant with possible changes in the nutritional preferences for fatty acids. Fatty acid composition was found to vary in relation to the branching pattern of the accessions. This pattern is generally indicative of the botanical types of groundnuts; Virginia (alternate) compared to Spanish and Valencia (sequential) botanical types.

Mixed data types and the use of pattern analysis on the Australian groundnut germplasm data

Data in germplasm collections contain a mixture of data types; binary, multistate and quantitative. Given the multivariate nature of these data, the pattern analysis methods of classification and ordination have been identified as suitable techniques for statistically evaluating the available diversity. The proximity (or resemblance) measure, which is in part the basis of the complementary nature of classification and ordination techniques, is often specific to particular data types. The use of a combined resemblance matrix has an advantage over data type specific proximity measures. This measure accommodates the different data types without manipulating them to be of a specific type. Descriptors are partitioned into their data types and an appropriate proximity measure is used on each. The separate proximity matrices, after range standardisation, are added as a weighted average and the combined resemblance matrix is then used for classification and ordination. Germplasm evaluation data for 831 accessions of groundnut (Arachis hypogaea L.) from the Australian Tropical Field Crops Genetic Resource Centre, Biloela, Queensland were examined. Data for four binary, five ordered multistate and seven quantitative descriptors have been documented. The interpretative value of different weightings - equal and unequal weighting of data types to obtain a combined resemblance matrix - was investigated by using principal co-ordinate analysis (ordination) and hierarchical cluster analysis. Equal weighting of data types was found to be more valuable for these data as the results provided a greater insight into the patterns of variability available in the Australian groundnut germplasm collection. The complementary nature of pattern analysis techniques enables plant breeders to identify relevant accessions in relation to the descriptors which distinguish amongst them. This additional information may provide plant breeders with a more defined entry point into the germplasm collection for identifying sources of variability for their plant improvement program, thus improving the utilisation of germplasm resources.