Institution
Centre de coopération internationale en recherche agronomique pour le développement
Facility•Paris, France•
About: Centre de coopération internationale en recherche agronomique pour le développement is a facility organization based out in Paris, France. It is known for research contribution in the topics: Population & Agriculture. The organization has 1709 authors who have published 2104 publications receiving 83391 citations. The organization is also known as: Agricultural Research Centre For International Development & Centre de cooperation internationale en recherche agronomique pour le developpement.
Topics: Population, Agriculture, Genome, Genetic diversity, Gene
Papers published on a yearly basis
Papers
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TL;DR: A map-based, finished quality sequence that covers 95% of the 389 Mb rice genome, including virtually all of the euchromatin and two complete centromeres, and finds evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes.
Abstract: Rice, one of the world's most important food plants, has important syntenic relationships with the other cereal species and is a model plant for the grasses. Here we present a map-based, finished quality sequence that covers 95% of the 389 Mb genome, including virtually all of the euchromatin and two complete centromeres. A total of 37,544 non-transposable-element-related protein-coding genes were identified, of which 71% had a putative homologue in Arabidopsis. In a reciprocal analysis, 90% of the Arabidopsis proteins had a putative homologue in the predicted rice proteome. Twenty-nine per cent of the 37,544 predicted genes appear in clustered gene families. The number and classes of transposable elements found in the rice genome are consistent with the expansion of syntenic regions in the maize and sorghum genomes. We find evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes. The map-based sequence has proven useful for the identification of genes underlying agronomic traits. The additional single-nucleotide polymorphisms and simple sequence repeats identified in our study should accelerate improvements in rice production.
3,423 citations
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Catholic University of Leuven1, Clark University2, University of Ibadan3, University of Wisconsin-Madison4, McGill University5, National Autonomous University of Mexico6, International Institute of Minnesota7, Stockholm University8, Centre for Development Studies9, University College London10, Centre de coopération internationale en recherche agronomique pour le développement11, Chinese Academy of Sciences12, Indiana University13, Jawaharlal Nehru University14, Duke University15, Royal Swedish Academy of Sciences16, University of Washington17, University of the Witwatersrand18
TL;DR: In this article, the authors track some of the major myths on driving forces of land cover change and propose alternative pathways of change that are better supported by case study evidence, concluding that neither population nor poverty alone constitute the sole and major underlying causes of land-cover change worldwide.
Abstract: Common understanding of the causes of land-use and land-cover change is dominated by simplifications which, in turn, underlie many environment-development policies. This article tracks some of the major myths on driving forces of land-cover change and proposes alternative pathways of change that are better supported by case study evidence. Cases reviewed support the conclusion that neither population nor poverty alone constitute the sole and major underlying causes of land-cover change worldwide. Rather, peoples’ responses to economic opportunities, as mediated by institutional factors, drive land-cover changes. Opportunities and
3,330 citations
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TL;DR: F(ST) estimation from corrected genotype frequencies performed well when restricted to visible allele sizes, and the use of the genetic distance of Cavalli-Sforza and Edwards (1967) corrected by the conventional method gave better estimates than those obtained without correction.
Abstract: Microsatellite null alleles are commonly encountered in population genetics studies, yet little is known about their impact on the estimation of population differentiation. Computer simulations based on the coalescent were used to investigate the evolutionary dynamics of null alleles, their impact on F(ST) and genetic distances, and the efficiency of estimators of null allele frequency. Further, we explored how the existing method for correcting genotype data for null alleles performed in estimating F(ST) and genetic distances, and we compared this method with a new method proposed here (for F(ST) only). Null alleles were likely to be encountered in populations with a large effective size, with an unusually high mutation rate in the flanking regions, and that have diverged from the population from which the cloned allele state was drawn and the primers designed. When populations were significantly differentiated, F(ST) and genetic distances were overestimated in the presence of null alleles. Frequency of null alleles was estimated precisely with the algorithm presented in Dempster et al. (1977). The conventional method for correcting genotype data for null alleles did not provide an accurate estimate of F(ST) and genetic distances. However, the use of the genetic distance of Cavalli-Sforza and Edwards (1967) corrected by the conventional method gave better estimates than those obtained without correction. F(ST) estimation from corrected genotype frequencies performed well when restricted to visible allele sizes. Both the proposed method and the traditional correction method have been implemented in a program that is available free of charge at http://www.montpellier.inra.fr/URLB/. We used 2 published microsatellite data sets based on original and redesigned pairs of primers to empirically confirm our simulation results.
2,470 citations
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TL;DR: Historical patterns of agricultural nitrogen-use efficiency are examined and a broad range of national approaches to agricultural development and related pollution are found, to meet the 2050 global food demand projected by the Food and Agriculture Organization.
Abstract: Improvements in nitrogen use efficiency in crop production are critical for addressing the triple challenges of food security, environmental degradation and climate change. Such improvements are conditional not only on technological innovation, but also on socio-economic factors that are at present poorly understood. Here we examine historical patterns of agricultural nitrogen-use efficiency and find a broad range of national approaches to agricultural development and related pollution. We analyse examples of nitrogen use and propose targets, by geographic region and crop type, to meet the 2050 global food demand projected by the Food and Agriculture Organization while also meeting the Sustainable Development Goals pertaining to agriculture recently adopted by the United Nations General Assembly. Furthermore, we discuss socio-economic policies and technological innovations that may help achieve them.
1,439 citations
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TL;DR: Conservation agriculture is claimed to be a panacea for the problems of poor agricultural productivity and soil degradation in sub-Saharan Africa (SSA). It is actively promoted by international research and development organisations, with such strong advocacy that critical debate is stifled as mentioned in this paper.
1,349 citations
Authors
Showing all 1726 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jean-Michel Gaillard | 81 | 410 | 26780 |
Serge Morand | 68 | 464 | 17272 |
Angélique D'Hont | 58 | 169 | 13681 |
Jean-Christophe Glaszmann | 57 | 134 | 9430 |
Thomas Cokelaer | 57 | 140 | 8768 |
Nathalie Gontard | 56 | 258 | 12034 |
M. Angela A. Meireles | 54 | 256 | 9154 |
Hélène Carrère | 53 | 164 | 10908 |
Emmanuel Guiderdoni | 52 | 136 | 7255 |
Michaël Dingkuhn | 51 | 174 | 8317 |
Jean-François Guégan | 49 | 166 | 11607 |
Brigitte Courtois | 48 | 140 | 7993 |
Nicole Darmon | 47 | 197 | 11233 |
Alberto Cuesta | 47 | 189 | 7045 |
Pierre Villeneuve | 46 | 183 | 6799 |