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Journal articles 2006

Documents

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Access to plant genetic resources for genomic research for the poor: from global policies to target-oriented rules 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

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Common bean breeding for resistance against biotic and abiotic stresses: from classical to MAS breedin 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

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Development of a composite collection for mining germplasm possessing allelic variation for beneficial traits in chickpea Development of a composite collection for mining germplasm possessing allelic variation for beneficial traits in chickpea

Upadhyaya HD, Furman BJ, Dwivedi SL, Udupa SM, Gowda CLL, Baum M, Crouch JH, Buhariwalla HK, and Sube Singh (2006). Development of a composite collection for mining germplasm possessing allelic variation for beneficial traits in chickpea. Plant Genetic Resources 4(1):13–19. (DOI: http://dx.doi.org/10.1079/PGR2005101). Not open access: view abstract

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Development of a wheat fingerprinting database and assembling an SSR reference kit for wheat genetic diversity analysis Development of a wheat fingerprinting database and assembling an SSR reference kit for wheat genetic diversity analysis

Li GY, Dreisigacker S, Warburton ML, Xianchun X, Zhonghu H and Qixin S (2006). Development of a wheat fingerprinting database and assembling an SSR reference kit for wheat genetic diversity analysis.  Acta Agronomica Sinica 32(12):1771–1778. (URL: http://211.155.251.148:8080/zwxb/EN/Y2006/V32/I12/1771). Not open access: viewe abstract

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Effect of zero tillage and residues conservation on continuous maize cropping in a subtropical environment (Mexico) 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

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Fenotipagem para tolerância à seca visando o melhoramento genético do trigo no cerrado Fenotipagem para tolerância à seca visando o melhoramento genético do trigo no cerrado

Ribeiro Júnior WQ, Ramos MLG, Vasconcelos U, Trindade MG, Ferreira FM, Siqueira MMH, da Silva HLM, Rodrigues GC, Guerra AF, Rocha OC, Amábile RF, Albuquerque AC, Só e Silva M, Albrecht JC and Durães FOM (2006). Fenotipagem para tolerância à seca visando o melhoramento genético do trigo no cerrado. Circular Técnica Online Embrapa Trigo 21. In Portuguese. Available online.

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Gene expression microarrays and their application in drought stress research Gene expression microarrays and their application in drought stress research

Kathiresan A, Lafitte HR, Chen J, Mansueto L, Bruskiewich R, Bennett J (2006). Gene expression microarrays and their application in drought stress research.  Field Crops Research 97(1):101–110. (DOI: 10.1016/j.fcr.2005.08.021). Not open access: view abstract

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Genetic diversity in salt tolerant rice (O. sativa) 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.

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Genetic variation in the sensitivity of anther dehiscence to drought stress in rice Genetic variation in the sensitivity of anther dehiscence to drought stress in rice

Liu JX, Liao, DQ, Oane R, Estenor L, Yang XE, Li ZC and Bennett J (2006). Genetic variation in the sensitivity of anther dehiscence to drought stress in rice.  Field Crops Research 97(1):87–100. (DOI: http://dx.doi.org/10.1016/j.fcr.2005.08.019). Not open access: view abstract

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Identification of quantitative trait loci for resistance to Southern Leaf Blight and days to anthesis in a maize recombinant inbred line population 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.

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