Journal articles 2006
Documents
Common bean breeding for resistance against biotic and abiotic stresses: from classical to MAS breedin
Miklas PN, Kelly JD, Beebe SE, Blair MW (2006). Common bean breeding for resistance against biotic and abiotic stresses: from classical to MAS breeding. Special issue: resistance to biotic and abiotic stresses in legumes. Euphytica 147(1-2):105–131. (DOI: 10.1007/s10681-006-4600-5). Not open access: view abstract
Miklas PN, Kelly JD, Beebe SE, Blair MW (2006). Common bean breeding for resistance against biotic and abiotic stresses: from classical to MAS breeding. Special issue: resistance to biotic and abiotic stresses in legumes. Euphytica 147(1-2):105–131. (DOI: 10.1007/s10681-006-4600-5). Not open access: view abstract
Effect of zero tillage and residues conservation on continuous maize cropping in a subtropical environment (Mexico)
Monneveux P, Quillerou E, Sanchez C and Lopez-Cesati L (2006). Effect of zero tillage and residues conservation on continuous maize cropping in a subtropical environment (Mexico). Plant and Soil 279(1-2):95–105. (DOI: 10.1007/s11104-005-0436-3). Not open access: view abstract
Monneveux P, Quillerou E, Sanchez C and Lopez-Cesati L (2006). Effect of zero tillage and residues conservation on continuous maize cropping in a subtropical environment (Mexico). Plant and Soil 279(1-2):95–105. (DOI: 10.1007/s11104-005-0436-3). Not open access: view abstract
Identification of quantitative trait loci for resistance to Southern Leaf Blight and days to anthesis in a maize recombinant inbred line population
Balint-Kurti PJ, Krakowsky MD, Jines MP, Robertson LA, Molnár TL, Goodman MM and Holland JB (2006). Identification of quantitative trait loci for resistance to Southern Leaf Blight and days to anthesis in a maize recombinant inbred line population. Phytopathology 96:1067–1071. (DOI: 10.1094/PHYTO-96-1067).
A recombinant inbred line population derived from a cross between the maize lines NC300 (resistant) and B104 (susceptible) was evaluated for resistance to southern leaf blight (SLB) disease caused by Cochliobolus heterostrophus race O and for days to anthesis in four environments (Clayton, NC, and Tifton, GA, in both 2004 and 2005). Entry mean and average genetic correlations between disease ratings in different environments were high (0.78 to 0.89 and 0.9, respectively) and the overall entry mean heritability for SLB resistance was 0.89. When weighted mean disease ratings were fitted to a model using multiple interval mapping, seven potential quantitative trait loci (QTL) were identified, the two strongest being on chromosomes 3 (bin 3.04) and 9 (bin 9.03-9.04). These QTL explained a combined 80% of the phenotypic variation for SLB resistance. Some time-point-specific SLB resistance QTL were also identified. There was no significant correlation between disease resistance and days to anthesis. Six putative QTL for time to anthesis were identified, none of which coincided with any SLB resistance QTL.
Balint-Kurti PJ, Krakowsky MD, Jines MP, Robertson LA, Molnár TL, Goodman MM and Holland JB (2006). Identification of quantitative trait loci for resistance to Southern Leaf Blight and days to anthesis in a maize recombinant inbred line population. Phytopathology 96:1067–1071. (DOI: 10.1094/PHYTO-96-1067).
A recombinant inbred line population derived from a cross between the maize lines NC300 (resistant) and B104 (susceptible) was evaluated for resistance to southern leaf blight (SLB) disease caused by Cochliobolus heterostrophus race O and for days to anthesis in four environments (Clayton, NC, and Tifton, GA, in both 2004 and 2005). Entry mean and average genetic correlations between disease ratings in different environments were high (0.78 to 0.89 and 0.9, respectively) and the overall entry mean heritability for SLB resistance was 0.89. When weighted mean disease ratings were fitted to a model using multiple interval mapping, seven potential quantitative trait loci (QTL) were identified, the two strongest being on chromosomes 3 (bin 3.04) and 9 (bin 9.03-9.04). These QTL explained a combined 80% of the phenotypic variation for SLB resistance. Some time-point-specific SLB resistance QTL were also identified. There was no significant correlation between disease resistance and days to anthesis. Six putative QTL for time to anthesis were identified, none of which coincided with any SLB resistance QTL.
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The genetic architecture of disease resistance in maize: a synthesis of published studies
Wisser RJ, Balint-Kurti PJ and Nelson RJ (2006). The genetic architecture of disease resistance in maize: a synthesis of published studies. Phytopathology 96(2):120–129. (DOI: 10.1094/PHYTO-96-0120).
Fifty publications on the mapping of maize disease resistance loci were synthesized. These papers reported the locations of 437 quantitative trait loci (QTL) for disease (dQTL), 17 resistance genes (R-genes), and 25 R-gene analogs. A set of rules was devised to enable the placement of these loci on a single consensus map, permitting analysis of the distribution of resistance loci identified across a variety of maize germplasm for a number of different diseases. The confidence intervals of the dQTL were distributed over all 10 chromosomes and covered 89% of the genetic map to which the data were anchored. Visual inspection indicated the presence of clusters of dQTL for multiple diseases. Clustering of dQTL was supported by statistical tests that took into account genome-wide variations in gene density. Several novel clusters of resistance loci were identified. Evidence was also found for the association of dQTL with maturity-related QTL. It was evident from the distinct dQTL distributions for the different diseases that certain breeding schemes may be more suitable for certain diseases. This review provides an up-to-date synthesis of reports on the locations of resistance loci in maize.
Wisser RJ, Balint-Kurti PJ and Nelson RJ (2006). The genetic architecture of disease resistance in maize: a synthesis of published studies. Phytopathology 96(2):120–129. (DOI: 10.1094/PHYTO-96-0120).
Fifty publications on the mapping of maize disease resistance loci were synthesized. These papers reported the locations of 437 quantitative trait loci (QTL) for disease (dQTL), 17 resistance genes (R-genes), and 25 R-gene analogs. A set of rules was devised to enable the placement of these loci on a single consensus map, permitting analysis of the distribution of resistance loci identified across a variety of maize germplasm for a number of different diseases. The confidence intervals of the dQTL were distributed over all 10 chromosomes and covered 89% of the genetic map to which the data were anchored. Visual inspection indicated the presence of clusters of dQTL for multiple diseases. Clustering of dQTL was supported by statistical tests that took into account genome-wide variations in gene density. Several novel clusters of resistance loci were identified. Evidence was also found for the association of dQTL with maturity-related QTL. It was evident from the distinct dQTL distributions for the different diseases that certain breeding schemes may be more suitable for certain diseases. This review provides an up-to-date synthesis of reports on the locations of resistance loci in maize.
SSR analysis of near isogenic lines (NILs) for P deficiency tolerance
Collard BCY, Thomson M, Penarubia M, Lu X, Heuer S, Wissuwa M, Mackill DJ and Ismail AM (2006). SSR analysis of near isogenic lines (NILs) for P deficiency tolerance. SABRAO Journal of Breeding and Genetics 38:131–138. Not open access: view journal website
Collard BCY, Thomson M, Penarubia M, Lu X, Heuer S, Wissuwa M, Mackill DJ and Ismail AM (2006). SSR analysis of near isogenic lines (NILs) for P deficiency tolerance. SABRAO Journal of Breeding and Genetics 38:131–138. Not open access: view journal website
Genetic diversity in salt tolerant rice (O. sativa)
Islam MR, Faruquei MAB and Salam MA (2006). Genetic diversity in salt tolerant rice (O. sativa). Bangladesh Journal of Plant Breeding Genetics 19(1):35–40. (Articles before 2007 were not archived for this journal; photocopied version of article in PDF).
Genetic diversity of 36 genotypes of salt tolerant coastal rice collected from IRRI (Philippines), BRRI (bangladesh), China and Sri Lanka were studied through Mahalanobis D2 statistics to identify the most genetically distant parental genotypes for improving salt tolerant rice varieties.The genotypes were grouped into five clusters. The cluster II and cluster V contained the highest and the lowest number of genotypes, respectively. The highest intra-cluster distance was noticed for the cluster I and the lowest for the cluster V.
Islam MR, Faruquei MAB and Salam MA (2006). Genetic diversity in salt tolerant rice (O. sativa). Bangladesh Journal of Plant Breeding Genetics 19(1):35–40. (Articles before 2007 were not archived for this journal; photocopied version of article in PDF).
Genetic diversity of 36 genotypes of salt tolerant coastal rice collected from IRRI (Philippines), BRRI (bangladesh), China and Sri Lanka were studied through Mahalanobis D2 statistics to identify the most genetically distant parental genotypes for improving salt tolerant rice varieties.The genotypes were grouped into five clusters. The cluster II and cluster V contained the highest and the lowest number of genotypes, respectively. The highest intra-cluster distance was noticed for the cluster I and the lowest for the cluster V.
Molecular markers for the introgression of useful traits from wild manihot relatives of cassava; Marker-Assisted Selection of disease and root quality traits
Fregene M, Morante N, Sanchez T, Marin J, Ospina C, Barrera E, Gutierrez J, Guerrero J, Bellotti A, Santos L, Alzate A, Moreno S, and Ceballos H (2006). Molecular markers for the introgression of useful traits from wild manihot relatives of cassava; Marker-Assisted Selection of disease and root quality traits. Journal of Root Crops 32(1):1–31. (Articles before 2011 were not archived for this journal; view journal’s homepage).
Fregene M, Morante N, Sanchez T, Marin J, Ospina C, Barrera E, Gutierrez J, Guerrero J, Bellotti A, Santos L, Alzate A, Moreno S, and Ceballos H (2006). Molecular markers for the introgression of useful traits from wild manihot relatives of cassava; Marker-Assisted Selection of disease and root quality traits. Journal of Root Crops 32(1):1–31. (Articles before 2011 were not archived for this journal; view journal’s homepage).
Optimum sample size for estimating gene diversity in wild wheat using AFLP markers
Singh M, Chabane K, Valkoun J and Blake T (2006). Optimum sample size for estimating gene diversity in wild wheat using AFLP markers. Genetic Resources and Crop Evolution 53(1):23–33. (DOI: 10.1007/s10722-004-0597-6). Not open access: view abstract
Singh M, Chabane K, Valkoun J and Blake T (2006). Optimum sample size for estimating gene diversity in wild wheat using AFLP markers. Genetic Resources and Crop Evolution 53(1):23–33. (DOI: 10.1007/s10722-004-0597-6). Not open access: view abstract
Sampling strategies for conserving diversity when forming core subsets using genetic marker
Franco J, Crossa J, Warburton M and Taba S (2006). Sampling strategies for conserving diversity when forming core subsets using genetic markers. Crop Science 46(2):854–864. (DOI: 10.2135/cropsci2005.07-0201). Not open access: view abstract
Franco J, Crossa J, Warburton M and Taba S (2006). Sampling strategies for conserving diversity when forming core subsets using genetic markers. Crop Science 46(2):854–864. (DOI: 10.2135/cropsci2005.07-0201). Not open access: view abstract
Access to plant genetic resources for genomic research for the poor: from global policies to target-oriented rules
Louwaars NP, Thörn E, Esquinas-Alcazar J, Wang S, Demissie A and Stannard C (2006). Access to plant genetic resources for genomic research for the poor: from global policies to target-oriented rules. Plant Genetic Resources 4(1):54–63. (DOI: http://dx.doi.org/10.1079/PGR2006112). Not open access: view abstract
Louwaars NP, Thörn E, Esquinas-Alcazar J, Wang S, Demissie A and Stannard C (2006). Access to plant genetic resources for genomic research for the poor: from global policies to target-oriented rules. Plant Genetic Resources 4(1):54–63. (DOI: http://dx.doi.org/10.1079/PGR2006112). Not open access: view abstract
