1,721,103 research outputs found
Recent advances in crop modelling to support sustainable agricultural production and food security under global change
No full textIdentification of genetic variation associated with high-temperature tolerance in cowpea
No full text1. File List
A. Filename: Cowpea_enviormental_ancest_822
Short description: Dataset related to environmental ancestry analysis in cowpea lines.
B. Filename: Partner_Favorites.vcf.gz
Short description: VCF file of variants from selected partner-preferred cowpea lines.
C. Filename: README.md
Short description: Markdown-formatted readme containing project metadata and notes.
D. Filename: README_WIP_Roland_Cowpea.txt
Short description: In-progress readme draft with additional annotation and format testing notes.
E. Filename: Readme_published_V5.txt
Short description: Final published version of the project readme with all required metadata.
F. Filename: VIGNA_rate6_ANCEST.bed
Short description: Ancestral state inference output using rate6 model in BED format.
G. Filename: VIGNA_rate6_ANCEST_ESTSFS.bed
Short description: BED file with ancestral states inferred using EST-SFS for comparison.
H. Filename: all_hits_MAF 3.bed.numbers
Short description: BED file annotated with allele frequency hit counts.
I. Filename: cowpea_490_stats_AA_rename.vcf.gz
Short description: VCF file with ancestral allele statistics for 490 cowpea samples.
J. Filename: cowpea_490_stats_AA_rename.vcf.gz.csi
Short description: Index file for the cowpea_490_stats_AA_rename VCF.
K. Filename: iSelect_ancestral.bed
Short description: Ancestral state calls for iSelect SNP array loci in BED format.This dataset includes filtered and unfiltered variant call files (VCFs), structural variant data (BEDPE), callable and uncallable region masks (BED), and phenotype data collected from mutagenized barley lines and control hybrids. It incorporates sequencing results from 10x Genomics, Oxford Nanopore, PacBio, and Illumina platforms.This study was funded by the Foundation for Food & Agriculture Research (Award# ICRC20-0000000032) to EFR, KJB, MA-M, OB, and PLM. The authors thank Tchamba Marimagne (IITA Genebank, Nigeria) for his valuable input during passport data curation, and Fiona Todd (University of Minnesota, USA) for the curation of materials associated with the manuscript. This research was carried out with software and hardware support provided by the Minnesota Supercomputing Institute (MSI) at the University of Minnesota. This research benefited from the advice and guidance of Timothy J. Close (U. of California Riverside, USA).Akakpo, Roland; Morrell, Peter; Lee, Elaine; Pacheco, Jacob; Rios, Esteban; Kantar, Michael; Boukar, Ousmane; Volz, Kevin; Akinmade, Habib; Alonso, Luis; Boote, Kenneth; Muñoz-Amatriaín, María. (2025). Identification of genetic variation associated with high-temperature tolerance in cowpea. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/XXPS-Q694
Growth of Individual Tomato Fruits under Assimilate Limitation Associated with Successively-later Set Fruits
Full text linkThe time course of growth of individual tomato fruits (Solanum lycopersicum) was analyzed in relation to the fruit initiation date and cumulative degree days of growth. Experimental data of dry weight (DW), fresh weight (FW), radial diameter (FDIAM), and dry matter concentration (DMC) of three different cohorts of fruits of determinate fresh-market tomato cultivar Florida 47 were determined under field conditions in Florida during spring of 2006 and 2007. Successively later cohorts (1 week intervals) had longer lags prior to rapid growth, slower maximum growth during the rapid phase, and smaller DW, FW, and FDIAM at maturity. These growth patterns were analyzed by fitting the data to a three-parameter Gompertz function for DW, FW, and FDIAM, and to a four-parameter modified Gompertz function for DMC. The good agreement of predicted and measured values indicates that the growth of individual tomato fruits followed the classical S-shaped Gompertz function. The Gompertz function was suitable to describe the slow growth that occurs in tomato fruits immediately after fertilization. The equation was able to predict the increasing duration of this lag and slower maximum growth and smaller final DW, FW, and size for successively later initiated cohorts of fruits. These results confirm the role of sink-source relationships (time of fruit set) on the growth of tomato fruits over time. This study will provide information potentially useful to improve existing tomato crop growth models that are presently limited because they do not predict practical outputs such as fresh weight and size of individual fruits.Fil: Rybak, Maria Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; ArgentinaFil: Boote, Kenneth J. University of Florida. Department of Agronomy; Estados UnidosFil: Jones, James W. University of Florida. Department of Agricultural and Biological Engineering; Estados Unido
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Editorial Introduction to the Special Issue “Modelling cropping systems under climate variability and change: impacts, risk and adaptation”
No full textVariations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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