Phil Bruckner - Academia.edu (original) (raw)
Papers by Phil Bruckner
Additional file 7 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 7:Distribution of FST estimates for individual SNP loci and windows of 5 SNPs. A)... more Additional file 7:Distribution of FST estimates for individual SNP loci and windows of 5 SNPs. A) The distribution of single-locus FST values between spring and winter wheat populations. B) The distribution of FST values in a sliding window of 5 consecutively located SNP loci. (TIFF 886 KB)
Additional file 3 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 3:List of 219 SNPs used for population structure analysis. The file contains the ... more Additional file 3:List of 219 SNPs used for population structure analysis. The file contains the list of 219 SNPs and their genetic map locations. The analysis of population structure was performed using all SNPs and SNPs separated into genome-specific sets (91 A-genome specific SNPs, 89 B-genome specific SNPs, and 39 D-genome specific SNPs). (XLS 40 KB)
Additional file 5 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 5:Membership coefficients of 17 pre-defined wheat populations in 2 clusters (K = ... more Additional file 5:Membership coefficients of 17 pre-defined wheat populations in 2 clusters (K = 2). Clustering was estimated using SNPs mapped to the A-, B- and D-genomes. Membership coefficients were calculated from 10 independent runs of Structure with 100,000 burn-in steps and 106 simulation steps. (XLS 22 KB)
Additional file 13 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Authors' original file for figure 4
Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP var... more Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 9 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 9:Summary of LD estimates. The file contains the exact test for LD, genetic dista... more Additional file 9:Summary of LD estimates. The file contains the exact test for LD, genetic distances between pairs of SNP markers and minor allele frequencies (MAF) of alleles used for LD calculation. The pair-wise LD was measured using the squared allele-frequency correlations r2 according to Weir [50]. The statistical significance of individual r2 estimates was calculated by the exact test following the procedure described by Weir [50]. The false discovery rate (FDR) was established at 0.01 using the Benjamini & Hochberg method [52]. (XLSX 3 MB)
Soft White Winter Wheat Evaluation (2002)
Evaluation of Winter Wheat Cultivar Performance Under Continuous-Crop, Crop-Crop-Fallow and Crop-Fallow Systems in Central Montana (2012)
2016 Winter wheat Varieties. Performance evaluation and recommendations. (2015 data)
2003 Evaluation of IMI-tolerant winter wheat variety performance in recrop trials at Fife near Belt and Great Falls
Test/location notes Acid soil tolerance, Enid
Management of Hessian Fly (Diptera: Cecidomyiidae) in Georgia by Delayed Planting of Winter Wheat
Journal of Economic Entomology, 1990
... The Hessian fly typically has two to three broods in the fall through-out Georgia with one sp... more ... The Hessian fly typically has two to three broods in the fall through-out Georgia with one spring brood occurring in the Piedmont ... and Methods Studies of wheat planting dates were conducted during the 1986-1987 and 1987-1988 growing sea-sons in Pike, Sumter, and Tift ...
Environmental stability and heritability estimates for grain yield and test weight in triticale
Journal of Applied Genetics, 2006
Hexaploid triticale has many advantages over both parental species for both grain and forage prod... more Hexaploid triticale has many advantages over both parental species for both grain and forage production in certain environments. Additional information on environmental stability and heritability would be desirable to develop appropriate selection strategies in the production of superior widely-adapted cultivars. The grain yield of 22 diverse genotypes grown at four ecologically-distinct geographical locations [Quincy, FL, USA (approximate geographical coordinates (AGC) = 30 degreesN 84 degreesW, approximate elevation (AE) = 58 m), Plains, GA, USA (AGC = 32 degreesN 84 degreesW, AE = 76 m), Bozeman, MT USA (AGC = 45 degreesN 111 degreesW, AE = 1458 m), and Aberdeen, ID, USA (AGC = 42 degreesN 112 degreesW, AE = 1360 m)] was measured in two years with winter and spring planting dates only at Bozeman and Aberdeen. Test weight (grain weight in a given volume) was determined for two years at Bozeman and Aberdeen at both planting dates and one year at Quincy. Stability analyses indicated that significant (P < 0.01) variation in means, regression coefficients, and deviation mean squares of the genotypes were present for both characters. Realized heritability (h2) estimates were as follows: grain yield ranged from -0.02 to 0.80 with a mean of 0.57; test weight ranged from 0.63 to 1.05 with a mean of 0.93. The results indicated that substantial genetic variation is present and selection for widely-adapted cultivars would be effective for both characters especially test weight.
Registration of ‘GA-Gore’ Wheat
Crop Science, 1993
Go to AGRIS search. Crop science (Jul-Aug 1993). Registration of 'GA-Gore' wheat. ...
Registration of ‘McGuire’ Wheat
Crop Science, 1997
Effectiveness of selected genes for Hessian fly resistance in wheat
Wheat (Triticum spp.) containing: known sources of Hessian ny, M(Jyetio{a destructor (Say), rcsiS... more Wheat (Triticum spp.) containing: known sources of Hessian ny, M(Jyetio{a destructor (Say), rcsiSUlllCC was cvnluatcd ng:ninst mixed-biotype field populalions of the insect. in Georgia. Sources containing HI-J-l](j genes, except fol' 1-14, find Marquillo l'csistllncc were evaluat.ed. Typically. the effectiveness of rcsisl.nncc sources wns consistent with I.he predicted virulence of lhe Hessian fly biotype mixture reported to occur in Georgia. or the resisl~lnce sources currently deployed in the ricld, the H7H8 was the most effective. H3 was ineffective, but several sources of H3 were found to contclin additional ~enes for resistnnce. Sources containing HI H2. 1-19, H9J-110 and H 13 genes and some sources of Marquillo resistance were effective. Teml>ernture sensitive genes, HllJ, HlI, f-112 and Marquillo. were only partially effective in the field. These results demonstrate lhe imparlance of field evnlllations in conjunclion with laboratory evaluations to assess the effectiveness of sources of Hessian ny resistance for use in wheal. breeding programs.
Registration of ‘Judith’ Wheat
Crop Science, 1995
Crop Science, 1987
Development of stress tolerant cultivars is an objective of many breeding programs, but success h... more Development of stress tolerant cultivars is an objective of many breeding programs, but success has been limited by inadequate screening techniques, and the lack of genotypes that show clear differences in response to well defined environmental stresses. Twenty spring wheat (Triticum aestivum L.) genotypes were evaluated over a range of water and high temperature-stressed environments (15 location-years) to establish standards for evaluation of stress tolerance screening techniques and to characterize genotypic stress tolerance and adaptation to stress environments. Overall and postanthesis stress tolerances were determined using grain yield and kernel weight responses, respectively. Stress tolerances were estimated using stress susceptibility indices (S), grain yields and kernel weights predicted for a hypothetical severe-stress environment from regression parameters, and yields and kernel weights per se in five stress environments. Yield-based stress tolerance estimates were correlated among all estimation methods. The stress susceptibility index identified stress tolerant genotypes that did not have outstanding yield performance per se in stress environments due to low yield potential, but which minimized yield loss under stress conditions. Kernel weightbased estimates of postanthesis stress tolerance using S were not correlated with predicted kernel weights in a hypothetical severestress environment or with kernel weights per se in five stress environments. Genotypes evaluated in this study exhibited a wide range in stress tolerance and adaptation to stress-prone environments. Stress tolerant and susceptible genotypes were identified to use in evaluation of stress tolerance screening techniques. Used in tandem, regression analyses of genotype X environment interactions, stress susceptibility indices, and stress performance per se, provided a more complete description of genotypic stress tolerances than did any analysis used alone.
Relationships among flag leaf characteristics and yield of wheat
Cereal Research Communications, 1990
Evaluation of Winter Wheat Development Lines for Susceptibility to Sawfly Cutting in Central Montana (2009)
Additional file 7 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 7:Distribution of FST estimates for individual SNP loci and windows of 5 SNPs. A)... more Additional file 7:Distribution of FST estimates for individual SNP loci and windows of 5 SNPs. A) The distribution of single-locus FST values between spring and winter wheat populations. B) The distribution of FST values in a sliding window of 5 consecutively located SNP loci. (TIFF 886 KB)
Additional file 3 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 3:List of 219 SNPs used for population structure analysis. The file contains the ... more Additional file 3:List of 219 SNPs used for population structure analysis. The file contains the list of 219 SNPs and their genetic map locations. The analysis of population structure was performed using all SNPs and SNPs separated into genome-specific sets (91 A-genome specific SNPs, 89 B-genome specific SNPs, and 39 D-genome specific SNPs). (XLS 40 KB)
Additional file 5 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 5:Membership coefficients of 17 pre-defined wheat populations in 2 clusters (K = ... more Additional file 5:Membership coefficients of 17 pre-defined wheat populations in 2 clusters (K = 2). Clustering was estimated using SNPs mapped to the A-, B- and D-genomes. Membership coefficients were calculated from 10 independent runs of Structure with 100,000 burn-in steps and 106 simulation steps. (XLS 22 KB)
Additional file 13 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Authors' original file for figure 4
Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP var... more Additional file of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 9 of Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.)
Additional file 9:Summary of LD estimates. The file contains the exact test for LD, genetic dista... more Additional file 9:Summary of LD estimates. The file contains the exact test for LD, genetic distances between pairs of SNP markers and minor allele frequencies (MAF) of alleles used for LD calculation. The pair-wise LD was measured using the squared allele-frequency correlations r2 according to Weir [50]. The statistical significance of individual r2 estimates was calculated by the exact test following the procedure described by Weir [50]. The false discovery rate (FDR) was established at 0.01 using the Benjamini & Hochberg method [52]. (XLSX 3 MB)
Soft White Winter Wheat Evaluation (2002)
Evaluation of Winter Wheat Cultivar Performance Under Continuous-Crop, Crop-Crop-Fallow and Crop-Fallow Systems in Central Montana (2012)
2016 Winter wheat Varieties. Performance evaluation and recommendations. (2015 data)
2003 Evaluation of IMI-tolerant winter wheat variety performance in recrop trials at Fife near Belt and Great Falls
Test/location notes Acid soil tolerance, Enid
Management of Hessian Fly (Diptera: Cecidomyiidae) in Georgia by Delayed Planting of Winter Wheat
Journal of Economic Entomology, 1990
... The Hessian fly typically has two to three broods in the fall through-out Georgia with one sp... more ... The Hessian fly typically has two to three broods in the fall through-out Georgia with one spring brood occurring in the Piedmont ... and Methods Studies of wheat planting dates were conducted during the 1986-1987 and 1987-1988 growing sea-sons in Pike, Sumter, and Tift ...
Environmental stability and heritability estimates for grain yield and test weight in triticale
Journal of Applied Genetics, 2006
Hexaploid triticale has many advantages over both parental species for both grain and forage prod... more Hexaploid triticale has many advantages over both parental species for both grain and forage production in certain environments. Additional information on environmental stability and heritability would be desirable to develop appropriate selection strategies in the production of superior widely-adapted cultivars. The grain yield of 22 diverse genotypes grown at four ecologically-distinct geographical locations [Quincy, FL, USA (approximate geographical coordinates (AGC) = 30 degreesN 84 degreesW, approximate elevation (AE) = 58 m), Plains, GA, USA (AGC = 32 degreesN 84 degreesW, AE = 76 m), Bozeman, MT USA (AGC = 45 degreesN 111 degreesW, AE = 1458 m), and Aberdeen, ID, USA (AGC = 42 degreesN 112 degreesW, AE = 1360 m)] was measured in two years with winter and spring planting dates only at Bozeman and Aberdeen. Test weight (grain weight in a given volume) was determined for two years at Bozeman and Aberdeen at both planting dates and one year at Quincy. Stability analyses indicated that significant (P < 0.01) variation in means, regression coefficients, and deviation mean squares of the genotypes were present for both characters. Realized heritability (h2) estimates were as follows: grain yield ranged from -0.02 to 0.80 with a mean of 0.57; test weight ranged from 0.63 to 1.05 with a mean of 0.93. The results indicated that substantial genetic variation is present and selection for widely-adapted cultivars would be effective for both characters especially test weight.
Registration of ‘GA-Gore’ Wheat
Crop Science, 1993
Go to AGRIS search. Crop science (Jul-Aug 1993). Registration of 'GA-Gore' wheat. ...
Registration of ‘McGuire’ Wheat
Crop Science, 1997
Effectiveness of selected genes for Hessian fly resistance in wheat
Wheat (Triticum spp.) containing: known sources of Hessian ny, M(Jyetio{a destructor (Say), rcsiS... more Wheat (Triticum spp.) containing: known sources of Hessian ny, M(Jyetio{a destructor (Say), rcsiSUlllCC was cvnluatcd ng:ninst mixed-biotype field populalions of the insect. in Georgia. Sources containing HI-J-l](j genes, except fol' 1-14, find Marquillo l'csistllncc were evaluat.ed. Typically. the effectiveness of rcsisl.nncc sources wns consistent with I.he predicted virulence of lhe Hessian fly biotype mixture reported to occur in Georgia. or the resisl~lnce sources currently deployed in the ricld, the H7H8 was the most effective. H3 was ineffective, but several sources of H3 were found to contclin additional ~enes for resistnnce. Sources containing HI H2. 1-19, H9J-110 and H 13 genes and some sources of Marquillo resistance were effective. Teml>ernture sensitive genes, HllJ, HlI, f-112 and Marquillo. were only partially effective in the field. These results demonstrate lhe imparlance of field evnlllations in conjunclion with laboratory evaluations to assess the effectiveness of sources of Hessian ny resistance for use in wheal. breeding programs.
Registration of ‘Judith’ Wheat
Crop Science, 1995
Crop Science, 1987
Development of stress tolerant cultivars is an objective of many breeding programs, but success h... more Development of stress tolerant cultivars is an objective of many breeding programs, but success has been limited by inadequate screening techniques, and the lack of genotypes that show clear differences in response to well defined environmental stresses. Twenty spring wheat (Triticum aestivum L.) genotypes were evaluated over a range of water and high temperature-stressed environments (15 location-years) to establish standards for evaluation of stress tolerance screening techniques and to characterize genotypic stress tolerance and adaptation to stress environments. Overall and postanthesis stress tolerances were determined using grain yield and kernel weight responses, respectively. Stress tolerances were estimated using stress susceptibility indices (S), grain yields and kernel weights predicted for a hypothetical severe-stress environment from regression parameters, and yields and kernel weights per se in five stress environments. Yield-based stress tolerance estimates were correlated among all estimation methods. The stress susceptibility index identified stress tolerant genotypes that did not have outstanding yield performance per se in stress environments due to low yield potential, but which minimized yield loss under stress conditions. Kernel weightbased estimates of postanthesis stress tolerance using S were not correlated with predicted kernel weights in a hypothetical severestress environment or with kernel weights per se in five stress environments. Genotypes evaluated in this study exhibited a wide range in stress tolerance and adaptation to stress-prone environments. Stress tolerant and susceptible genotypes were identified to use in evaluation of stress tolerance screening techniques. Used in tandem, regression analyses of genotype X environment interactions, stress susceptibility indices, and stress performance per se, provided a more complete description of genotypic stress tolerances than did any analysis used alone.
Relationships among flag leaf characteristics and yield of wheat
Cereal Research Communications, 1990
Evaluation of Winter Wheat Development Lines for Susceptibility to Sawfly Cutting in Central Montana (2009)