Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses
Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genoty...
Ausführliche Beschreibung
Autor*in: |
Irfaq, M. [verfasserIn] Ajab, Mir [verfasserIn] Ma, Hongxiang [verfasserIn] Khattak, GSS [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2009 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Cytology and genetics - New York, NY : Allerton Press, Springer, 2007, 43(2009), 4 vom: Aug., Seite 241-252 |
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Übergeordnetes Werk: |
volume:43 ; year:2009 ; number:4 ; month:08 ; pages:241-252 |
Links: |
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DOI / URN: |
10.3103/S0095452709040045 |
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Katalog-ID: |
SPR023205016 |
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245 | 1 | 0 | |a Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
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520 | |a Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. | ||
650 | 4 | |a Stripe Rust |7 (dpeaa)DE-He213 | |
650 | 4 | |a Stripe Rust Resistance |7 (dpeaa)DE-He213 | |
650 | 4 | |a Area Under Disease Progress Curve |7 (dpeaa)DE-He213 | |
650 | 4 | |a Disease Progress Curve |7 (dpeaa)DE-He213 | |
650 | 4 | |a Adult Plant Stage |7 (dpeaa)DE-He213 | |
700 | 1 | |a Ajab, Mir |e verfasserin |4 aut | |
700 | 1 | |a Ma, Hongxiang |e verfasserin |4 aut | |
700 | 1 | |a Khattak, GSS |e verfasserin |4 aut | |
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10.3103/S0095452709040045 doi (DE-627)SPR023205016 (SPR)S0095452709040045-e DE-627 ger DE-627 rakwb eng 570 610 ASE Irfaq, M. verfasserin aut Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 Ajab, Mir verfasserin aut Ma, Hongxiang verfasserin aut Khattak, GSS verfasserin aut Enthalten in Cytology and genetics New York, NY : Allerton Press, Springer, 2007 43(2009), 4 vom: Aug., Seite 241-252 (DE-627)538221577 (DE-600)2379216-4 1934-9440 nnns volume:43 year:2009 number:4 month:08 pages:241-252 https://dx.doi.org/10.3103/S0095452709040045 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2009 4 08 241-252 |
spelling |
10.3103/S0095452709040045 doi (DE-627)SPR023205016 (SPR)S0095452709040045-e DE-627 ger DE-627 rakwb eng 570 610 ASE Irfaq, M. verfasserin aut Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 Ajab, Mir verfasserin aut Ma, Hongxiang verfasserin aut Khattak, GSS verfasserin aut Enthalten in Cytology and genetics New York, NY : Allerton Press, Springer, 2007 43(2009), 4 vom: Aug., Seite 241-252 (DE-627)538221577 (DE-600)2379216-4 1934-9440 nnns volume:43 year:2009 number:4 month:08 pages:241-252 https://dx.doi.org/10.3103/S0095452709040045 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2009 4 08 241-252 |
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10.3103/S0095452709040045 doi (DE-627)SPR023205016 (SPR)S0095452709040045-e DE-627 ger DE-627 rakwb eng 570 610 ASE Irfaq, M. verfasserin aut Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 Ajab, Mir verfasserin aut Ma, Hongxiang verfasserin aut Khattak, GSS verfasserin aut Enthalten in Cytology and genetics New York, NY : Allerton Press, Springer, 2007 43(2009), 4 vom: Aug., Seite 241-252 (DE-627)538221577 (DE-600)2379216-4 1934-9440 nnns volume:43 year:2009 number:4 month:08 pages:241-252 https://dx.doi.org/10.3103/S0095452709040045 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2009 4 08 241-252 |
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10.3103/S0095452709040045 doi (DE-627)SPR023205016 (SPR)S0095452709040045-e DE-627 ger DE-627 rakwb eng 570 610 ASE Irfaq, M. verfasserin aut Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 Ajab, Mir verfasserin aut Ma, Hongxiang verfasserin aut Khattak, GSS verfasserin aut Enthalten in Cytology and genetics New York, NY : Allerton Press, Springer, 2007 43(2009), 4 vom: Aug., Seite 241-252 (DE-627)538221577 (DE-600)2379216-4 1934-9440 nnns volume:43 year:2009 number:4 month:08 pages:241-252 https://dx.doi.org/10.3103/S0095452709040045 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2009 4 08 241-252 |
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10.3103/S0095452709040045 doi (DE-627)SPR023205016 (SPR)S0095452709040045-e DE-627 ger DE-627 rakwb eng 570 610 ASE Irfaq, M. verfasserin aut Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 Ajab, Mir verfasserin aut Ma, Hongxiang verfasserin aut Khattak, GSS verfasserin aut Enthalten in Cytology and genetics New York, NY : Allerton Press, Springer, 2007 43(2009), 4 vom: Aug., Seite 241-252 (DE-627)538221577 (DE-600)2379216-4 1934-9440 nnns volume:43 year:2009 number:4 month:08 pages:241-252 https://dx.doi.org/10.3103/S0095452709040045 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2009 4 08 241-252 |
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English |
source |
Enthalten in Cytology and genetics 43(2009), 4 vom: Aug., Seite 241-252 volume:43 year:2009 number:4 month:08 pages:241-252 |
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Enthalten in Cytology and genetics 43(2009), 4 vom: Aug., Seite 241-252 volume:43 year:2009 number:4 month:08 pages:241-252 |
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topic_facet |
Stripe Rust Stripe Rust Resistance Area Under Disease Progress Curve Disease Progress Curve Adult Plant Stage |
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Cytology and genetics |
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Irfaq, M. @@aut@@ Ajab, Mir @@aut@@ Ma, Hongxiang @@aut@@ Khattak, GSS @@aut@@ |
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2009-08-01T00:00:00Z |
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Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2009</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. 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Irfaq, M. |
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Irfaq, M. ddc 570 misc Stripe Rust misc Stripe Rust Resistance misc Area Under Disease Progress Curve misc Disease Progress Curve misc Adult Plant Stage Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
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570 610 ASE Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses Stripe Rust (dpeaa)DE-He213 Stripe Rust Resistance (dpeaa)DE-He213 Area Under Disease Progress Curve (dpeaa)DE-He213 Disease Progress Curve (dpeaa)DE-He213 Adult Plant Stage (dpeaa)DE-He213 |
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ddc 570 misc Stripe Rust misc Stripe Rust Resistance misc Area Under Disease Progress Curve misc Disease Progress Curve misc Adult Plant Stage |
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Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
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Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
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Irfaq, M. Ajab, Mir Ma, Hongxiang Khattak, GSS |
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assessment of genes controlling area under disease progress curve (audpc) for stripe rust (p. striiformis f. sp. tritici) in two wheat (triticum aestivum l.) crosses |
title_auth |
Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
abstract |
Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. |
abstractGer |
Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. |
abstract_unstemmed |
Abstract Genetic effects on controlling stripe rust resistance were determined in two wheat crosses, Bakhiawar-92 × Frontana (cross 1) and Inqilab-91 × Fakhre Sarhad (cross 2) using Area under Disease Progress Curve (AUDPC) as a measure of stripe rust resistance. The resistant and susceptible genotypes for crosses were identified by initial assessment of 45 wheat accessions for stripe rust resistance. Mixed inheritance model was applied to the data analysis of six basic populations P1, F1, P2, B1, B2, and F2 in the crosses. The results indicated that AUDPC in cross 1 was controlled by two major genes with additive-dominance epistatic effect plus polygenes with additive-dominance epistatic effects (model E). Whereas in case of cross 2, it was under the control of two major genes with additive-dominance epistatic effect plus additive-dominant polygenes (model E-1). Additive effect was predominant then all other types of genetic effects suggesting the delay in selection for resistance till maximum positive genes are accumulated in the individuals of subsequent generations. Occurrence of transgressive segregants for susceptibility and resistance indicated the presence of resistance as well as some negative genes for resistance in the parents. The major gene heritability was higher than the polygene heritability in B1, B2 and F2 for the crosses. The major gene as well as the polygene heritability was ranging from 48.99 to 87.12% and 2.26 and 36.80% for the two crosses respectively. The highest phenotypic variations in AUDPC (2504.10 to 5833.14) for segregating progenies (BC1, BC2 and F2) represent that the character was highly influenced by the environment. |
collection_details |
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container_issue |
4 |
title_short |
Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses |
url |
https://dx.doi.org/10.3103/S0095452709040045 |
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author2 |
Ajab, Mir Ma, Hongxiang Khattak, GSS |
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Ajab, Mir Ma, Hongxiang Khattak, GSS |
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doi_str |
10.3103/S0095452709040045 |
up_date |
2024-07-03T17:31:34.735Z |
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score |
7.3988037 |