100 research outputs found

    Supercell technique for total-energy calculations of finite charged and polar systems

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    We study the behavior of total-energy supercell calculations for dipolar molecules and charged clusters. Using a cutoff Coulomb interaction within the framework of a plane-wave basis set formalism, with all other aspects of the method (pseudopotentials, basis set, exchange-correlation functional) unchanged, we are able to assess directly the interaction effects present in the supercell technique. We find that the supercell method gives structures and energies in almost total agreement with the results of calculations for finite systems, even for molecules with large dipole moments. We also show that the performance of finite-grid calculations can be improved by allowing a degree of aliasing in the Hartree energy, and by using a reciprocal space definition of the cutoff Coulomb interaction

    The Mango Value Network (Mangifera indica L.) in Campeche, Mexico

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    Objective: Characterize the mango value network in the State of Campeche and identify its problems. Design/methodology/approach: Based on documentary information and 40 semi-structured interviews, the structure of the value network, its key actors, and technologies were identified. Results: Researchers advise to establish high-density orchards (3 333 plants ha-1), although growers accept to increment from 69 to only 278 plants ha-1. New production technologies are required for important cultivars, such as Tommy Atkins, Manila, and creole. Their vegetative growth responds differently to local humidity, rain, and soil conditions, due to their monoembryonic or polyembryonic origin. Limitations of the study/implications:  Producers in the social sector do not keep accounting and production records. An estimate of mango yields, investment, income, and profits was obtained based on the opinion of producers from the social and business sector of Campeche. Findings/conclusions: Social sector producers of mango are willing to grow their orchards with 278 plants ha-1; it is required to evaluate the production technologies of Tommy Atkins, Manila, and creole cultivars, and to estimate the production costs. Private sector growers are choosing to substitute mango for high-density Persian lemon; they also prioritize fruit fly management and commercialization of fruits.Objective: Characterize the mango value network in the State of Campeche and identify its problems. Design/methodology/approach: Based on documentary information and 40 semi-structured interviews, the structure of the value network, its key actors, and technologies were identified. Results: Researchers advise to establish high-density orchards (3 333 plants ha-1), although growers accept to increment from 69 to only 278 plants ha-1. New production technologies are required for important cultivars, such as Tommy Atkins, Manila, and creole. Their vegetative growth responds differently to local humidity, rain, and soil conditions, due to their monoembryonic or polyembryonic origin. Limitations of the study/implications:  Producers in the social sector do not keep accounting and production records. An estimate of mango yields, investment, income, and profits was obtained based on the opinion of producers from the social and business sector of Campeche. Findings/conclusions: Social sector producers of mango are willing to grow their orchards with 278 plants ha-1; it is required to evaluate the production technologies of Tommy Atkins, Manila, and creole cultivars, and to estimate the production costs. Private sector growers are choosing to substitute mango for high-density Persian lemon; they also prioritize fruit fly management and commercialization of fruits

    Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones

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    Genomic and pedigree predictions for grain yield and agronomic traits were carried out using high density molecular data on a set of 803 spring wheat lines that were evaluated in 5 sites characterized by several environmental co-variables. Seven statistical models were tested using two random cross-validations schemes. Two other prediction problems were studied, namely predicting the lines’ performance at one site with another (pairwise-site) and at untested sites (leave-one-site-out). Grain yield ranged from 3.7 to 9.0 t ha−1 across sites. The best predictability was observed when genotypic and pedigree data were included in the models and their interaction with sites and the environmental co-variables. The leave-one-site-out increased average prediction accuracy over pairwise-site for all the traits, specifically from 0.27 to 0.36 for grain yield. Days to anthesis, maturity, and plant height predictions had high heritability and gave the highest accuracy for prediction models. Genomic and pedigree models coupled with environmental co-variables gave high prediction accuracy due to high genetic correlation between sites. This study provides an example of model prediction considering climate data along-with genomic and pedigree information. Such comprehensive models can be used to achieve rapid enhancement of wheat yield enhancement in current and future climate change scenario

    Ab initio van der Waals interactions in simulations of water alter structure from mainly tetrahedral to high-density-like

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    The structure of liquid water at ambient conditions is studied in ab initio molecular dynamics simulations using van der Waals (vdW) density-functional theory, i.e. using the new exchange-correlation functionals optPBE-vdW and vdW-DF2. Inclusion of the more isotropic vdW interactions counteracts highly directional hydrogen-bonds, which are enhanced by standard functionals. This brings about a softening of the microscopic structure of water, as seen from the broadening of angular distribution functions and, in particular, from the much lower and broader first peak in the oxygen-oxygen pair-correlation function (PCF), indicating loss of structure in the outer solvation shells. In combination with softer non-local correlation terms, as in the new parameterization of vdW-DF, inclusion of vdW interactions is shown to shift the balance of resulting structures from open tetrahedral to more close-packed. The resulting O-O PCF shows some resemblance with experiment for high-density water (A. K. Soper and M. A. Ricci, Phys. Rev. Lett., 84:2881, 2000), but not directly with experiment for ambient water. However, an O-O PCF consisting of a linear combination of 70% from vdW-DF2 and 30% from experiment on low-density liquid water reproduces near-quantitatively the experimental O-O PCF for ambient water, indicating consistency with a two-liquid model with fluctuations between high- and low-density regions

    Two distinct catalytic pathways for GH43 xylanolytic enzymes unveiled by X-ray and QM/MM simulations

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    Xylanolytic enzymes from glycoside hydrolase family 43 (GH43) are involved in the breakdown of hemicellulose, the second most abundant carbohydrate in plants. Here, we kinetically and mechanistically describe the non-reducing-end xylose-releasing exo-oligoxylanase activity and report the crystal structure of a native GH43 Michaelis complex with its substrate prior to hydrolysis. Two distinct calcium-stabilized conformations of the active site xylosyl unit are found, suggesting two alternative catalytic routes. These results are confirmed by QM/MM simulations that unveil the complete hydrolysis mechanism and identify two possible reaction pathways, involving different transition state conformations for the cleavage of xylooligosaccharides. Such catalytic conformational promiscuity in glycosidases is related to the open architecture of the active site and thus might be extended to other exo-acting enzymes. These findings expand the current general model of catalytic mechanism of glycosidases, a main reaction in nature, and impact on our understanding about their interaction with substrates and inhibitors

    Strategic crossing of biomass and harvest index—source and sink—achieves genetic gains in wheat

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    To accelerate genetic gains in breeding, physiological trait (PT) characterization of candidate parents can help make more strategic crosses, increasing the probability of accumulating favorable alleles compared to crossing relatively uncharacterized lines. In this study, crosses were designed to complement “source” with “sink” traits, where at least one parent was selected for favorable expression of biomass and/or radiation use efficiency—source—and the other for sink-related traits like harvest-index, kernel weight and grains per spike. Female parents were selected from among genetic resources—including landraces and products of wide-crossing (i.e. synthetic wheat)—that had been evaluated in Mexico at high yield potential or under heat stress, while elite lines were used as males. Progeny of crosses were advanced to the F4 generation within Mexico, and F4-derived F5 and F6 generations were yield tested to populate four international nurseries, targeted to high yield environments (2nd and 3rd WYCYT) for yield potential, and heat stressed environments (2nd and 4th SATYN) for climate resilience, respectively. Each nursery was grown as multi-location yield trials. Genetic gains were achieved in both temperate and hot environments, with most new PT-derived lines expressing superior yield and biomass compared to local checks at almost all international sites. Furthermore, the tendency across all four nurseries indicated either the superiority of the best new PT lines compared with the CIMMYT elite checks, or the superiority of all new PT lines as a group compared with all checks, and in some cases, both. Results support—in a realistic breeding context—the hypothesis that yield and radiation use efficiency can be increased by improving source:sink balance, and validate the feasibility of incorporating exotic germplasm into mainstream breeding efforts to accelerate genetic gains for yield potential and climate resilience

    Density functional theory study of the conformational space of an infinitely long polypeptide chain

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    The backbone conformational space of infinitely long polyalanine is investigated with density-functional theory and mapping the potential-energy surface in terms of (L, θ) cylindrical coordinates. A comparison of the obtained (L, θ) Ramachandran-like plot with results from an extended set of protein structures shows excellent conformity, with the exception of the polyproline II region. It is demonstrated the usefulness of infinitely long polypeptide models for investigating the influence of hydrogen bonding and its cooperative effect on the backbone conformations. The results imply that hydrogen bonding together with long-range electrostatics is the main actuator for most of the structures assumed by protein residues
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