International Maize and Wheat Improvement Center

About: International Maize and Wheat Improvement Center is a nonprofit organization based out in Texcoco, Mexico. It is known for research contribution in the topics: Population & Agriculture. The organization has 1976 authors who have published 4799 publications receiving 218390 citations.

Development, characterization and utilization of microsatellite markers in pigeonpea

Abstract: Pigeonpea is a major legume of the semi-arid tropics that has been neglected in terms of molecular breeding. The objectives of this study were to develop microsatellite markers and evaluate their potential for use in pigeonpea genetics and breeding. Two hundred and eight microsatellite loci were isolated by screening a non-enriched partial genomic library. Primers were designed for 39 microsatellite loci, 20 of which amplified polymerase chain reaction products of the expected size. Nineteen of the primer pairs were polymorphic amongst 15 cultivated and nine wild pigeonpea accessions providing evidence for cross-species transferability within the genus Cajanus. A total of 98 alleles were detected at the 19 polymorphic loci with an average of 4.9 alleles per locus. The observed heterozygosity ranged from 0.17 to 0.80 with a mean of 0.42 per locus. Less allelic variation (31 alleles) was observed within the cultivated species than across the wild species (92 alleles). The diversity analysis readily distinguished all wild relatives from each other and from the cultivated germplasm. Development of more microsatellites is recommended for future genomic studies in pigeonpea.

An intra-specific consensus genetic map of pigeonpea [Cajanus cajan (L.) Millspaugh] derived from six mapping populations

Abstract: Pigeonpea (Cajanus cajan L.) is an important food legume crop of rainfed agriculture. Owing to exposure of the crop to a number of biotic and abiotic stresses, the crop productivity has remained stagnant for almost last five decades at ca. 750 kg/ha. The availability of a cytoplasmic male sterility (CMS) system has facilitated the development and release of hybrids which are expected to enhance the productivity of pigeonpea. Recent advances in genomics and molecular breeding such as marker-assisted selection (MAS) offer the possibility to accelerate hybrid breeding. Molecular markers and genetic maps are pre-requisites for deploying MAS in breeding. However, in the case of pigeonpea, only one inter- and two intra-specific genetic maps are available so far. Here, four new intra-specific genetic maps comprising 59–140 simple sequence repeat (SSR) loci with map lengths ranging from 586.9 to 881.6 cM have been constructed. Using these four genetic maps together with two recently published intra-specific genetic maps, a consensus map was constructed, comprising of 339 SSR loci spanning a distance of 1,059 cM. Furthermore, quantitative trait loci (QTL) analysis for fertility restoration (Rf) conducted in three mapping populations identified four major QTLs explaining phenotypic variances up to 24 %. To the best of our knowledge, this is the first report on construction of a consensus genetic map in pigeonpea and on the identification of QTLs for fertility restoration. The developed consensus genetic map should serve as a reference for developing new genetic maps as well as correlating with the physical map in pigeonpea to be developed in near future. The availability of more informative markers in the bins harbouring QTLs for sterility mosaic disease (SMD) and Rf will facilitate the selection of the most suitable markers for genetic analysis and molecular breeding applications in pigeonpea.

Carbon, nitrogen and microbial biomass interrelationships during the decomposition of wheat straw: A mechanistic simulation model

Abstract: The behavior of added carbon as crop residues and nitrogen in agricultural ecosystems is most often quantitatively described by empirically derived first-order rate reactions. A mechanistic approach may be more precise for describing interrelations between C, N and microbial populations during short periods of active decomposition. The effect of N on the disappearance of C from a wheat straw system, and the response of the biomass to N additions, was simulated using microbial growth and maintenance terms derived from the literature. Results of the simulation were compared with microbial growth and wheat straw decomposition measurements made with an electrolytic respirometer. Straw decomposition rate was shown to be strongly dependent on available C and N during initial decomposition. When N is limiting, excess available C apparently is immobilized as polysaccharides.

Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice

Abstract: The Crop Ontology (CO) of the Generation Challenge Program (GCP) (http://cropontology.org/ ) is developed for the Integrated Breeding Platform (https://www.integratedbreeding.net/ ) by several centers of The Consultative Group on International Agricultural Research (CGIAR): Bioversity, CIMMYT, CIP, ICRISAT, IITA, and IRRI. Integrated breeding necessitates that breeders access genotypic and phenotypic data related to a given trait. The Crop Ontology provides validated trait names used by the crop communities of practice for harmonizing the annotation of phenotypic and genotypic data and thus supporting data accessibility and discovery through web queries. The trait information is completed by the description of the measurement methods and scales, and images. The trait dictionaries used to produce the Integrated Breeding (IB) fieldbooks are synchronized with the Crop Ontology terms for an automatic annotation of the phenotypic data measured in the field. The IB fieldbook provides breeders with direct access to the CO to get additional descriptive information on the traits. Ontologies and trait dictionaries are online for cassava, chickpea, common bean, groundnut, maize, Musa, potato, rice, sorghum and wheat. Online curation and annotation tools facilitate (http://cropontology.org) direct maintenance of the trait information and production of trait dictionaries by the crop communities. An important feature is the cross referencing of CO terms with the Crop database trait ID and with their synonyms in Plant Ontology and Trait Ontology. Web links between cross referenced terms in CO provide online access to data annotated with similar ontological terms, particularly the genetic data in Gramene (University of Cornell) or the evaluation and climatic data in the Global Repository of evaluation trials of the Climate Change, Agriculture and Food Security programme (CCAFS). Cross-referencing and annotation will be further applied in the Integrated Breeding Platform.